SAGA API  v9.7
mat_tools.h
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1 
3 // //
4 // SAGA //
5 // //
6 // System for Automated Geoscientific Analyses //
7 // //
8 // Application Programming Interface //
9 // //
10 // Library: SAGA_API //
11 // //
12 //-------------------------------------------------------//
13 // //
14 // mat_tools.h //
15 // //
16 // Copyright (C) 2005 by Olaf Conrad //
17 // //
18 //-------------------------------------------------------//
19 // //
20 // This file is part of 'SAGA - System for Automated //
21 // Geoscientific Analyses'. //
22 // //
23 // This library is free software; you can redistribute //
24 // it and/or modify it under the terms of the GNU Lesser //
25 // General Public License as published by the Free //
26 // Software Foundation, either version 2.1 of the //
27 // License, or (at your option) any later version. //
28 // //
29 // This library is distributed in the hope that it will //
30 // be useful, but WITHOUT ANY WARRANTY; without even the //
31 // implied warranty of MERCHANTABILITY or FITNESS FOR A //
32 // PARTICULAR PURPOSE. See the GNU Lesser General Public //
33 // License for more details. //
34 // //
35 // You should have received a copy of the GNU Lesser //
36 // General Public License along with this program; if //
37 // not, see <http://www.gnu.org/licenses/>. //
38 // //
39 //-------------------------------------------------------//
40 // //
41 // contact: Olaf Conrad //
42 // Institute of Geography //
43 // University of Goettingen //
44 // Goldschmidtstr. 5 //
45 // 37077 Goettingen //
46 // Germany //
47 // //
48 // e-mail: oconrad@saga-gis.org //
49 // //
51 
52 //---------------------------------------------------------
53 #ifndef HEADER_INCLUDED__SAGA_API__mat_tools_H
54 #define HEADER_INCLUDED__SAGA_API__mat_tools_H
55 
56 
58 // //
59 // //
60 // //
62 
63 //---------------------------------------------------------
80 // //
83 
84 //---------------------------------------------------------
85 #include "geo_tools.h"
86 
87 
89 // //
90 // //
91 // //
93 
94 //---------------------------------------------------------
95 #ifndef M_PI
96 #define M_PI 3.141592653589793
97 #endif
98 
99 #define M_PI_045 (M_PI / 4.)
100 #define M_PI_090 (M_PI / 2.)
101 #define M_PI_135 (M_PI * 3. / 4.)
102 #define M_PI_180 (M_PI)
103 #define M_PI_225 (M_PI * 5. / 4.)
104 #define M_PI_270 (M_PI * 3. / 2.)
105 #define M_PI_315 (M_PI * 7. / 4.)
106 #define M_PI_360 (M_PI * 2.)
107 
108 #define M_RAD_TO_DEG (180. / M_PI)
109 #define M_DEG_TO_RAD (M_PI / 180.)
110 
111 //---------------------------------------------------------
112 #define M_EULER 2.718281828459045
113 
114 //---------------------------------------------------------
115 #define N_MEGABYTE_BYTES 0x100000
116 
117 //---------------------------------------------------------
118 #ifdef FLT_EPSILON
119  #define M_FLT_EPSILON FLT_EPSILON
120 #else
121  #define M_FLT_EPSILON 1.192092896e-07F
122 #endif
123 
124 #ifdef DBL_EPSILON
125  #define M_DBL_EPSILON DBL_EPSILON
126 #else
127  #define M_DBL_EPSILON 2.2204460492503131e-016
128 #endif
129 
130 // >>> DEPRECATED >>> //
131 #define M_ALMOST_ZERO (1.e-03)
132 #define M_TINY (1.e-20)
133 // <<< DEPRECATED <<< //
134 
135 
136 //---------------------------------------------------------
137 #define M_SQR(x) ((x) * (x))
138 #define M_SQRT(x) sqrt((double)(x))
139 #define M_GET_LENGTH(x, y) sqrt((double)((x)*(x) + (y)*(y)))
140 
141 #define M_GET_MIN(a, b) (((a) < (b)) ? (a) : (b))
142 #define M_GET_MAX(a, b) (((a) > (b)) ? (a) : (b))
143 #define M_SET_MINMAX(min, max, x) if( min > x ) { min = x; } else if( max < x ) { max = x; }
144 
145 #define M_SET_SIGN(x, sign) ((sign) < 0 ? (x < 0 ? x : -x) : (x > 0 ? x : -x))
146 
147 #define M_HAS_DECIMALS(x) (x - floor(x) > 0.)
148 
149 //---------------------------------------------------------
150 #define SG_ROUND_TO_BYTE(x) ((BYTE )(x < 0. ? x - 0.5 : x + 0.5))
151 #define SG_ROUND_TO_CHAR(x) ((char )(x < 0. ? x - 0.5 : x + 0.5))
152 #define SG_ROUND_TO_WORD(x) ((WORD )(x < 0. ? x - 0.5 : x + 0.5))
153 #define SG_ROUND_TO_SHORT(x) ((short)(x < 0. ? x - 0.5 : x + 0.5))
154 #define SG_ROUND_TO_DWORD(x) ((DWORD)(x < 0. ? x - 0.5 : x + 0.5))
155 #define SG_ROUND_TO_INT(x) ((int )(x < 0. ? x - 0.5 : x + 0.5))
156 #define SG_ROUND_TO_LONG(x) ((long )(x < 0. ? x - 0.5 : x + 0.5))
157 #define SG_ROUND_TO_ULONG(x) ((uLong)(x < 0. ? x - 0.5 : x + 0.5))
158 #define SG_ROUND_TO_SLONG(x) ((sLong)(x < 0. ? x - 0.5 : x + 0.5))
159 
160 
162 // //
163 // //
164 // //
166 
167 //---------------------------------------------------------
168 SAGA_API_DLL_EXPORT double SG_Get_Square (double Value);
169 
170 SAGA_API_DLL_EXPORT double SG_Get_Rounded (double Value, int Decimals = 0);
171 SAGA_API_DLL_EXPORT double SG_Get_Rounded_To_SignificantFigures (double Value, int Decimals);
172 
173 //---------------------------------------------------------
174 SAGA_API_DLL_EXPORT int SG_Get_Digit_Count (int Number);
175 
176 //---------------------------------------------------------
177 SAGA_API_DLL_EXPORT CSG_String SG_Get_Double_asString (double Number, int Width = -1, int Precision = -1, bool bScientific = false);
178 
179 //---------------------------------------------------------
180 SAGA_API_DLL_EXPORT int SG_Compare_Int (const void *a, const void *b);
181 SAGA_API_DLL_EXPORT int SG_Compare_Double (const void *a, const void *b);
182 SAGA_API_DLL_EXPORT int SG_Compare_Char_Ptr (const void *a, const void *b);
183 
184 //---------------------------------------------------------
185 SAGA_API_DLL_EXPORT double SG_Degree_To_Decimal ( double Deg, double Min, double Sec);
186 SAGA_API_DLL_EXPORT void SG_Decimal_To_Degree (double Value, double &Deg, double &Min, double &Sec);
187 
188 
190 // //
191 // //
192 // //
194 
195 //---------------------------------------------------------
196 typedef int (* TSG_PFNC_Compare) (const sLong a, const sLong b);
197 
198 //---------------------------------------------------------
199 class SAGA_API_DLL_EXPORT CSG_Index
200 {
201 public:
202  class CSG_Index_Compare
203  {
204  public:
205  CSG_Index_Compare(void) {}
206  virtual ~CSG_Index_Compare(void) {}
207 
208  virtual int Compare (const sLong a, const sLong b) = 0;
209  };
210 
211 
212 public:
213  CSG_Index(void);
214  virtual ~CSG_Index(void);
215 
216  CSG_Index (sLong nValues, CSG_Index_Compare &Compare);
217  bool Create (sLong nValues, CSG_Index_Compare &Compare);
218 
219  CSG_Index (sLong nValues, CSG_Index_Compare *pCompare);
220  bool Create (sLong nValues, CSG_Index_Compare *pCompare);
221 
222  CSG_Index (sLong nValues, int *Values, bool bAscending = true);
223  bool Create (sLong nValues, int *Values, bool bAscending = true);
224 
225  CSG_Index (sLong nValues, double *Values, bool bAscending = true);
226  bool Create (sLong nValues, double *Values, bool bAscending = true);
227 
228  CSG_Index (sLong nValues, TSG_PFNC_Compare fCompare);
229  bool Create (sLong nValues, TSG_PFNC_Compare fCompare);
230 
231  bool Destroy (void);
232 
233  void Show_Progress (bool bProgress = true);
234 
235  bool Add_Entry (sLong Position = -1);
236  bool Del_Entry (sLong Position = -1);
237 
238  bool is_Okay (void) const { return( m_nValues > 0 ); }
239  sLong Get_Count (void) const { return( m_nValues ); }
240 
241  sLong Get_Index (sLong Position, bool Ascending = true) const
242  {
243  return( Position < 0 || Position >= m_nValues ? -1 : m_Index[Ascending ? Position : m_nValues - 1 - Position] );
244  }
245 
246  sLong operator [] (sLong Position) const
247  {
248  return( Position < 0 || Position >= m_nValues ? -1 : m_Index[Position] );
249  }
250 
251 
252 private:
253 
254  bool m_bProgress;
255 
256  sLong m_nValues, *m_Index;
257 
258 
259  void _On_Construction (void);
260 
261  bool _Set_Array (sLong nValues);
262  bool _Set_Index (CSG_Index_Compare *pCompare);
263 
264 };
265 
266 
268 // //
269 // //
270 // //
272 
273 //---------------------------------------------------------
274 class SAGA_API_DLL_EXPORT CSG_PriorityQueue
275 {
276 public:
277 
278  //-----------------------------------------------------
279  class CSG_PriorityQueueItem
280  {
281  public:
282  CSG_PriorityQueueItem(void) {}
283 
284  virtual int Compare (CSG_PriorityQueueItem *pItem) = 0;
285 
286  };
287 
288  //-----------------------------------------------------
289  CSG_PriorityQueue(size_t maxSize = 256);
290 
291  virtual ~CSG_PriorityQueue(void);
292 
293  void Create (size_t maxSize = 256);
294  void Destroy (void);
295 
296  //-----------------------------------------------------
297  bool is_Empty (void) const { return( m_nItems == 0 ); }
298  size_t Get_Size (void) const { return( m_nItems ); }
299  CSG_PriorityQueueItem * Get_Item (size_t i) const { return( m_Items[i] ); }
300 
301  void Add (CSG_PriorityQueueItem *pItem);
302 
303  CSG_PriorityQueueItem * Peek (void) const { return( Minimum() ); }
304  CSG_PriorityQueueItem * Poll (void);
305 
306  //-----------------------------------------------------
307  CSG_PriorityQueueItem * Minimum (void) const
308  {
309  if( m_nItems )
310  {
311  if( m_pLeaf[0] )
312  {
313  return( m_pLeaf[0]->Minimum() );
314  }
315 
316  return( m_Items[0] );
317  }
318 
319  return( NULL );
320  }
321 
322  CSG_PriorityQueueItem * Maximum (void) const
323  {
324  if( m_nItems )
325  {
326  if( m_pLeaf[1] )
327  {
328  return( m_pLeaf[1]->Maximum() );
329  }
330 
331  return( m_Items[m_nItems - 1] );
332  }
333 
334  return( NULL );
335  }
336 
337 
338 private:
339 
340  size_t m_nItems, m_maxSize;
341 
342  CSG_PriorityQueue *m_pLeaf[2];
343 
344  CSG_PriorityQueueItem **m_Items;
345 
346 
347  size_t _Insert_Position (CSG_PriorityQueueItem *pItem);
348 
349 };
350 
351 
353 // //
354 // //
355 // //
357 
358 //---------------------------------------------------------
359 class SAGA_API_DLL_EXPORT CSG_Vector
360 {
361 public:
362  CSG_Vector(void);
363  virtual ~CSG_Vector(void);
364 
365  CSG_Vector (const CSG_Vector &Vector);
366  bool Create (const CSG_Vector &Vector);
367 
368  CSG_Vector (sLong n, const double *Data = NULL);
369  bool Create (sLong n, const double *Data = NULL);
370 
371  bool Destroy (void);
372 
373  bool Set_Rows (sLong nRows);
374  bool Add_Rows (sLong nRows);
375  bool Del_Rows (sLong nRows);
376  bool Add_Row (double Value = 0.);
377  bool Del_Row (sLong Row = -1);
378 
379  sLong Get_Row_Count (void) const { return( m_Array.Get_Size () ); }
380  sLong Get_Size (void) const { return( m_Array.Get_Size () ); }
381  size_t Get_uSize (void) const { return( m_Array.Get_uSize() ); }
382  int Get_N (void) const { return( (int)m_Array.Get_Size() ); }
383 
384  double * Get_Data (void) const { return( (double *)m_Array.Get_Array() ); }
385  double Get_Data (sLong x) const { return( Get_Data()[x] ); }
386  double operator () (sLong x) const { return( Get_Data()[x] ); }
387  double & operator [] (sLong x) { return( Get_Data()[x] ); }
388  double & operator [] (size_t x) { return( Get_Data()[x] ); }
389  double & operator [] (int x) { return( Get_Data()[x] ); }
390  const double & operator [] (sLong x) const { return( Get_Data()[x] ); }
391  const double & operator [] (size_t x) const { return( Get_Data()[x] ); }
392  const double & operator [] (int x) const { return( Get_Data()[x] ); }
393  operator const double * (void) const { return( Get_Data() ); }
394 
395  CSG_String to_String (int Width = -1, int Precision = -1, bool bScientific = false, const SG_Char *Separator = NULL) const;
396  bool from_String (const CSG_String &String);
397 
398  bool is_Null (void) const;
399  bool is_Equal (const CSG_Vector &Vector) const;
400  bool is_Collinear (const CSG_Vector &Vector) const;
401 
402  bool Assign (double Scalar);
403  bool Assign (const CSG_Vector &Vector);
404  bool Add (double Scalar);
405  bool Add (const CSG_Vector &Vector);
406  bool Subtract (const CSG_Vector &Vector);
407  bool Multiply (double Scalar);
408  bool Multiply (const CSG_Vector &Vector);
409  bool Multiply_Cross (const CSG_Vector &Vector);
410  double Multiply_Scalar (const CSG_Vector &Vector) const;
411  bool Multiply (const class CSG_Matrix &Matrix);
412 
413  bool operator == (const CSG_Vector &Vector) const { return( is_Equal(Vector) ); }
414  bool operator != (const CSG_Vector &Vector) const { return( !is_Equal(Vector) ); }
415  CSG_Vector & operator = (double Scalar);
416  CSG_Vector & operator = (const CSG_Vector &Vector);
417  CSG_Vector & operator += (double Scalar);
418  CSG_Vector & operator += (const CSG_Vector &Vector);
419  CSG_Vector & operator -= (double Scalar);
420  CSG_Vector & operator -= (const CSG_Vector &Vector);
421  CSG_Vector & operator *= (double Scalar);
422  CSG_Vector & operator *= (const CSG_Vector &Vector);
423  CSG_Vector & operator *= (const class CSG_Matrix &Matrix);
424  CSG_Vector operator + (double Scalar) const;
425  CSG_Vector operator + (const CSG_Vector &Vector) const;
426  CSG_Vector operator - (double Scalar) const;
427  CSG_Vector operator - (const CSG_Vector &Vector) const;
428  CSG_Vector operator * (double Scalar) const;
429  double operator * (const CSG_Vector &Vector) const;
430 
431  bool Set_Zero (void);
432  bool Set_Unity (void);
433 
434  bool Flip_Values (void);
435 
436  bool Sort (bool bAscending = true);
437 
438  double Get_Length (void) const;
439  CSG_Vector Get_Scalar_Product (const CSG_Vector &Vector) const;
440  CSG_Vector Get_Cross_Product (const CSG_Vector &Vector) const;
441  double Get_Angle (const CSG_Vector &Vector) const;
442  CSG_Vector Get_Unity (void) const;
443 
444  typedef double const * const_iterator;
445 
446  const_iterator begin (void) const { return( Get_Data() ); }
447  const_iterator end (void) const { return( Get_Data() + Get_Size() ); }
448  const_iterator cbegin (void) const { return( Get_Data() ); }
449  const_iterator cend (void) const { return( Get_Data() + Get_Size() ); }
450 
451 
452 private:
453 
454  CSG_Array m_Array;
455 
456 };
457 
458 //---------------------------------------------------------
459 SAGA_API_DLL_EXPORT CSG_Vector operator * (double Scalar, const CSG_Vector &Vector);
460 
461 //---------------------------------------------------------
462 SAGA_API_DLL_EXPORT bool SG_VectorR2_Rotate (double &x, double &y, double Angle);
463 SAGA_API_DLL_EXPORT bool SG_VectorR2_Rotate (double Vector[2], double Angle);
464 SAGA_API_DLL_EXPORT bool SG_VectorR2_Rotate (CSG_Vector &Vector , double Angle);
465 
466 SAGA_API_DLL_EXPORT bool SG_VectorR3_Rotate (double Vector[3], size_t Axis, double Angle);
467 SAGA_API_DLL_EXPORT bool SG_VectorR3_Rotate (CSG_Vector &Vector , size_t Axis, double Angle);
468 
469 
471 // //
472 // //
473 // //
475 
476 //---------------------------------------------------------
477 class SAGA_API_DLL_EXPORT CSG_Matrix
478 {
479 public:
480  CSG_Matrix(void);
481  virtual ~CSG_Matrix(void);
482 
483  CSG_Matrix (const CSG_Matrix &Matrix);
484  bool Create (const CSG_Matrix &Matrix);
485 
486  CSG_Matrix (sLong nCols, sLong nRows, const double *Data = NULL);
487  bool Create (sLong nCols, sLong nRows, const double *Data = NULL);
488 
489  CSG_Matrix (sLong nCols, sLong nRows, const double **Data);
490  bool Create (sLong nCols, sLong nRows, const double **Data);
491 
492  bool Destroy (void);
493 
494  bool Set_Size (sLong nRows, sLong nCols);
495  bool Set_Cols (sLong nCols);
496  bool Set_Rows (sLong nRows);
497  bool Add_Cols (sLong nCols);
498  bool Add_Rows (sLong nRows);
499  bool Del_Cols (sLong nCols);
500  bool Del_Rows (sLong nRows);
501  bool Add_Col ( const double *Data = NULL);
502  bool Add_Col ( const CSG_Vector &Data);
503  bool Add_Row ( const double *Data = NULL);
504  bool Add_Row ( const CSG_Vector &Data);
505  bool Ins_Col (sLong Col, const double *Data = NULL);
506  bool Ins_Col (sLong Col, const CSG_Vector &Data);
507  bool Ins_Row (sLong Row, const double *Data = NULL);
508  bool Ins_Row (sLong Row, const CSG_Vector &Data);
509  bool Set_Col (sLong Col, const double *Data);
510  bool Set_Col (sLong Col, const CSG_Vector &Data);
511  bool Set_Col ( const CSG_Vector &Data);
512  bool Set_Row (sLong Row, const double *Data);
513  bool Set_Row (sLong Row, const CSG_Vector &Data);
514  bool Set_Row ( const CSG_Vector &Data);
515  bool Del_Col (sLong Col);
516  bool Del_Row (sLong Row);
517  CSG_Vector Get_Col (sLong Col) const;
518  CSG_Vector Get_Row (sLong Row) const;
519 
520  int Get_NX (void) const { return( (int)m_nx ); }
521  int Get_NY (void) const { return( (int)m_ny ); }
522  sLong Get_NCols (void) const { return( m_nx ); }
523  sLong Get_NRows (void) const { return( m_ny ); }
524 
525  operator const double ** (void) const { return( (const double **)m_z ); }
526  double ** Get_Data (void) const { return( m_z ); }
527 
528  double operator () (sLong Row, sLong Col) const { return( m_z[Row][Col] ); }
529  double * operator [] (sLong Row) const { return( m_z[Row] ); }
530  double * operator [] (size_t Row) const { return( m_z[Row] ); }
531  double * operator [] (int Row) const { return( m_z[Row] ); }
532 
533  CSG_String to_String (int Width = -1, int Precision = -1, bool bScientific = false, const SG_Char *Separator = NULL) const;
534  bool from_String (const CSG_String &String);
535 
536  bool is_Square (void) const { return( m_nx > 0 && m_nx == m_ny ); }
537  bool is_Equal (const CSG_Matrix &Matrix) const;
538 
539  bool Assign (double Scalar);
540  bool Assign (const CSG_Matrix &Matrix);
541  bool Add (double Scalar);
542  bool Add (const CSG_Matrix &Matrix);
543  bool Subtract (const CSG_Matrix &Matrix);
544  bool Multiply (double Scalar);
545  CSG_Vector Multiply (const CSG_Vector &Vector) const;
546  CSG_Matrix Multiply (const CSG_Matrix &Matrix) const;
547 
548  bool operator == (const CSG_Matrix &Matrix) const;
549  CSG_Matrix & operator = (double Scalar);
550  CSG_Matrix & operator = (const CSG_Matrix &Matrix);
551  CSG_Matrix & operator += (double Scalar);
552  CSG_Matrix & operator += (const CSG_Matrix &Matrix);
553  CSG_Matrix & operator -= (double Scalar);
554  CSG_Matrix & operator -= (const CSG_Matrix &Matrix);
555  CSG_Matrix & operator *= (double Scalar);
556  CSG_Matrix & operator *= (const CSG_Matrix &Matrix);
557  CSG_Matrix operator + (double Scalar) const;
558  CSG_Matrix operator + (const CSG_Matrix &Matrix) const;
559  CSG_Matrix operator - (double Scalar) const;
560  CSG_Matrix operator - (const CSG_Matrix &Matrix) const;
561  CSG_Matrix operator * (double Scalar) const;
562  CSG_Vector operator * (const CSG_Vector &Vector) const;
563  CSG_Matrix operator * (const CSG_Matrix &Matrix) const;
564 
565  bool Set_Zero (void);
566  bool Set_Identity (void);
567  bool Set_Transpose (void);
568  bool Set_Inverse (bool bSilent = true, int nSubSquare = 0);
569 
570  double Get_Determinant (void) const;
571  CSG_Matrix Get_Transpose (void) const;
572  CSG_Matrix Get_Inverse (bool bSilent = true, int nSubSquare = 0) const;
573 
574 
575 private:
576 
577  sLong m_nx, m_ny;
578 
579  double **m_z;
580 
581 
582  void _On_Construction (void);
583 
584 };
585 
586 //---------------------------------------------------------
587 SAGA_API_DLL_EXPORT CSG_Matrix operator * (double Scalar, const CSG_Matrix &Matrix);
588 
589 //---------------------------------------------------------
590 SAGA_API_DLL_EXPORT CSG_Matrix SG_Matrix_Get_Rotation (double R , bool bDegree = false);
591 SAGA_API_DLL_EXPORT CSG_Matrix SG_Matrix_Get_Rotation (double Rx, double Ry, double Rz, bool bDegree = false);
592 
593 //---------------------------------------------------------
594 SAGA_API_DLL_EXPORT bool SG_Matrix_LU_Decomposition (int n, int *Permutation, double **Matrix , bool bSilent = true, int *nRowChanges = NULL);
595 SAGA_API_DLL_EXPORT bool SG_Matrix_LU_Solve (int n, const int *Permutation, const double **Matrix, double *Vector, bool bSilent = true);
596 
597 SAGA_API_DLL_EXPORT bool SG_Matrix_Solve (CSG_Matrix &Matrix, CSG_Vector &Vector, bool bSilent = true);
598 SAGA_API_DLL_EXPORT bool SG_Matrix_Eigen_Reduction (const CSG_Matrix &Matrix, CSG_Matrix &Eigen_Vectors, CSG_Vector &Eigen_Values, bool bSilent = true);
599 
600 
602 // //
603 // //
604 // //
606 
607 //---------------------------------------------------------
608 class SAGA_API_DLL_EXPORT CSG_Grid_Radius
609 {
610 public:
611  CSG_Grid_Radius(int maxRadius = 0);
612  ~CSG_Grid_Radius(void);
613 
614  bool Create (int maxRadius);
615  void Destroy (void);
616 
617  int Get_Maximum (void) { return( m_maxRadius ); }
618 
619  int Get_nPoints (void) { return( m_nPoints ); }
620  int Get_nPoints (int iRadius) { return( iRadius >= 0 && iRadius < m_maxRadius ? m_nPoints_R[iRadius] : 0 ); }
621 
622  double Get_Point (int iPoint, int &x, int &y)
623  {
624  if( iPoint >= 0 && iPoint < m_nPoints )
625  {
626  x = m_Points[iPoint].x;
627  y = m_Points[iPoint].y;
628 
629  return( m_Points[iPoint].d ); // Distance...
630  }
631 
632  return( -1. );
633  }
634 
635  double Get_Point (int iPoint, int xOffset, int yOffset, int &x, int &y)
636  {
637  double d;
638 
639  if( (d = Get_Point(iPoint, x, y)) >= 0. )
640  {
641  x += xOffset;
642  y += yOffset;
643  }
644 
645  return( d );
646  }
647 
648  double Get_Point (int iRadius, int iPoint, int &x, int &y)
649  {
650  if( iRadius >= 0 && iRadius <= m_maxRadius && iPoint >= 0 && iPoint < m_nPoints_R[iRadius] )
651  {
652  x = m_Points_R[iRadius][iPoint].x;
653  y = m_Points_R[iRadius][iPoint].y;
654 
655  return( m_Points_R[iRadius][iPoint].d ); // Distance...
656  }
657 
658  return( -1. );
659  }
660 
661  double Get_Point (int iRadius, int iPoint, int xOffset, int yOffset, int &x, int &y)
662  {
663  double d;
664 
665  if( (d = Get_Point(iRadius, iPoint, x, y)) >= 0. )
666  {
667  x += xOffset;
668  y += yOffset;
669  }
670 
671  return( d );
672  }
673 
674 
675 private:
676 
677  int m_maxRadius, m_nPoints, *m_nPoints_R;
678 
679  typedef struct SSG_Grid_Radius
680  {
681  int x, y;
682 
683  double d;
684  }
685  TSG_Grid_Radius;
686 
687  TSG_Grid_Radius *m_Points, **m_Points_R;
688 
689 };
690 
691 
693 // //
694 // //
695 // //
697 
698 //---------------------------------------------------------
699 class SAGA_API_DLL_EXPORT CSG_Random
700 {
701 public:
702  CSG_Random(void);
703 
704  static void Initialize (void);
705  static void Initialize (unsigned int Value);
706 
707  static double Get_Uniform (void);
708  static double Get_Uniform (double min, double max);
709 
710  static double Get_Gaussian (double mean, double stddev);
711 
712 };
713 
714 
716 // //
717 // //
718 // //
720 
721 //---------------------------------------------------------
722 class SAGA_API_DLL_EXPORT CSG_Simple_Statistics
723 {
724 public:
725  CSG_Simple_Statistics(void);
726  CSG_Simple_Statistics(bool bHoldValues);
727  CSG_Simple_Statistics(const CSG_Simple_Statistics &Statistics);
728  CSG_Simple_Statistics(double Mean, double StdDev, sLong Count = 1000);
729  CSG_Simple_Statistics(const CSG_Vector &Values, bool bHoldValues = false);
730 
731  bool Create (bool bHoldValues = false);
732  bool Create (const CSG_Simple_Statistics &Statistics);
733  bool Create (double Mean, double StdDev, sLong Count = 1000);
734  bool Create (const CSG_Vector &Values, bool bHoldValues = false);
735 
736  void Invalidate (void);
737  bool Evaluate (void);
738 
739  int is_Evaluated (void) const { return( m_bEvaluated ); }
740 
741  bool Set_Count (sLong Count);
742 
743  sLong Get_Count (void) const { return( m_nValues ); }
744  double Get_Weights (void) const { return( m_Weights ); }
745 
746  double Get_Minimum (void) { if( m_bEvaluated < 1 ) _Evaluate(1); return( m_Minimum ); }
747  double Get_Maximum (void) { if( m_bEvaluated < 1 ) _Evaluate(1); return( m_Maximum ); }
748  double Get_Range (void) { if( m_bEvaluated < 1 ) _Evaluate(1); return( m_Range ); }
749  double Get_Sum (void) { if( m_bEvaluated < 1 ) _Evaluate(1); return( m_Sum ); }
750  double Get_Sum_Of_Squares (void) { if( m_bEvaluated < 1 ) _Evaluate(1); return( m_Sum2 ); }
751  double Get_Mean (void) { if( m_bEvaluated < 1 ) _Evaluate(1); return( m_Mean ); }
752  double Get_Variance (void) { if( m_bEvaluated < 1 ) _Evaluate(1); return( m_Variance ); }
753  double Get_StdDev (void) { if( m_bEvaluated < 1 ) _Evaluate(1); return( m_StdDev ); }
754 
755  double Get_Kurtosis (void) { if( m_bEvaluated < 2 ) _Evaluate(2); return( m_Kurtosis ); }
756  double Get_Skewness (void) { if( m_bEvaluated < 2 ) _Evaluate(2); return( m_Skewness ); }
757  double Get_SkewnessPearson (void);
758 
759  double Get_Quantile (double Quantile);
760  double Get_Percentile (double Percentile);
761  double Get_Median (void);
762  double Get_Gini (void);
763 
764  sLong Get_IndexOfMinimum (void);
765  sLong Get_IndexOfMaximum (void);
766 
767  sLong Get_nValues_Above (double Threshold, bool bEquals = false);
768  sLong Get_nValues_Below (double Threshold, bool bEquals = false);
769 
770  void Add (const CSG_Simple_Statistics &Statistics);
771 
772  void Add_Value (double Value, double Weight = 1.);
773 
774  double * Get_Values (void) const { return( (double *)m_Values.Get_Array() ); }
775  double Get_Value (sLong i) const { return( i >= 0 && i < (sLong)m_Values.Get_Size() ? Get_Values()[i] : m_Mean ); }
776  double operator [] (sLong i) const { return( i >= 0 && i < (sLong)m_Values.Get_Size() ? Get_Values()[i] : m_Mean ); }
777 
778 
779  CSG_Simple_Statistics & operator = (const CSG_Simple_Statistics &Statistics) { Create(Statistics); return( *this ); }
780  CSG_Simple_Statistics & operator += (const CSG_Simple_Statistics &Statistics) { Add(Statistics); return( *this ); }
781  CSG_Simple_Statistics & operator += (double Value) { Add_Value(Value); return( *this ); }
782 
783 
784 protected:
785 
786  bool m_bSorted;
787 
788  int m_bEvaluated;
789 
790  sLong m_nValues;
791 
792  double m_Weights, m_Sum, m_Sum2, m_Minimum, m_Maximum, m_Range, m_Mean, m_Variance, m_StdDev, m_Kurtosis, m_Skewness, m_Gini;
793 
794  CSG_Array m_Values;
795 
796 
797  void _Evaluate (int Level = 1);
798 
799 };
800 
801 
803 // //
804 // //
805 // //
807 
808 //---------------------------------------------------------
809 class SAGA_API_DLL_EXPORT CSG_Unique_Value_Statistics
810 {
811 public:
812  CSG_Unique_Value_Statistics (void) {}
813  virtual ~CSG_Unique_Value_Statistics (void) {}
814 
815  virtual void Create (bool bWeights = false) { m_bWeights = bWeights; }
816 
817  int Get_Count (void) const { return( (int)m_Count.Get_Size() ); }
818  int Get_Count (int i) const { return( m_Count[i] ); }
819  double Get_Weight (int i) const { return( m_bWeights ? m_Weight[i] : m_Count[i] ); }
820 
821  virtual int Get_Majority (bool bWeighted = false) const;
822  virtual int Get_Minority (bool bWeighted = false) const;
823 
824  virtual bool Get_Majority (double &Value ) const { return( false ); }
825  virtual bool Get_Majority (double &Value, int &Count) const { return( false ); }
826  virtual bool Get_Minority (double &Value ) const { return( false ); }
827  virtual bool Get_Minority (double &Value, int &Count) const { return( false ); }
828 
829  virtual bool Get_Majority (CSG_String &Value ) const { return( false ); }
830  virtual bool Get_Majority (CSG_String &Value, int &Count) const { return( false ); }
831  virtual bool Get_Minority (CSG_String &Value ) const { return( false ); }
832  virtual bool Get_Minority (CSG_String &Value, int &Count) const { return( false ); }
833 
834 
835 protected:
836 
837  bool m_bWeights{false};
838 
839  CSG_Array_Int m_Count;
840 
841  CSG_Vector m_Weight;
842 
843 };
844 
845 //---------------------------------------------------------
846 class SAGA_API_DLL_EXPORT CSG_Unique_Number_Statistics : public CSG_Unique_Value_Statistics
847 {
848 public:
849  CSG_Unique_Number_Statistics (bool bWeights = false) { Create(bWeights); }
850  virtual ~CSG_Unique_Number_Statistics (void) {}
851 
852  virtual void Create (bool bWeights = false);
853 
854  void operator += (double Value) { Add_Value(Value); }
855  void Add_Value (double Value, double Weight = 1.);
856  double Get_Value (int Index) const { return( m_Value[Index] ); }
857  int Get_Class_Index (double Value) const;
858  bool Get_Class (int Index, double &Value, int &Count) const
859  {
860  if( Index < 0 || Index >= Get_Count() ) return( false );
861 
862  Count = m_Count[Index];
863  Value = m_Value[Index];
864 
865  return( true );
866  }
867 
868  virtual bool Get_Majority (double &Value ) const { int Count; return( Get_Class(CSG_Unique_Value_Statistics::Get_Majority(), Value, Count) ); }
869  virtual bool Get_Majority (double &Value, int &Count) const { return( Get_Class(CSG_Unique_Value_Statistics::Get_Majority(), Value, Count) && Count > 0 ); }
870  virtual bool Get_Minority (double &Value ) const { int Count; return( Get_Class(CSG_Unique_Value_Statistics::Get_Minority(), Value, Count) ); }
871  virtual bool Get_Minority (double &Value, int &Count) const { return( Get_Class(CSG_Unique_Value_Statistics::Get_Minority(), Value, Count) && Count > 0 ); }
872 
873 
874 private:
875 
876  CSG_Vector m_Value;
877 
878 };
879 
880 //---------------------------------------------------------
881 class SAGA_API_DLL_EXPORT CSG_Unique_String_Statistics : public CSG_Unique_Value_Statistics
882 {
883 public:
884  CSG_Unique_String_Statistics (bool bWeights = false) { Create(bWeights); }
885  virtual ~CSG_Unique_String_Statistics (void) {}
886 
887  virtual void Create (bool bWeights = false);
888 
889  void operator += (const CSG_String &Value) { Add_Value(Value); }
890  void Add_Value (const CSG_String &Value, double Weight = 1.);
891  const SG_Char * Get_Value (int Index) const { return( m_Value[Index] ); }
892  int Get_Class_Index (const CSG_String &Value) const;
893  bool Get_Class (int Index, CSG_String &Value, int &Count) const
894  {
895  if( Index < 0 || Index >= Get_Count() ) return( false );
896 
897  Count = m_Count[Index];
898  Value = m_Value[Index];
899 
900  return( true );
901  }
902 
903  virtual bool Get_Majority (CSG_String &Value ) const { int Count; return( Get_Class(CSG_Unique_Value_Statistics::Get_Majority(), Value, Count) ); }
904  virtual bool Get_Majority (CSG_String &Value, int &Count) const { return( Get_Class(CSG_Unique_Value_Statistics::Get_Majority(), Value, Count) && Count > 0 ); }
905  virtual bool Get_Minority (CSG_String &Value ) const { int Count; return( Get_Class(CSG_Unique_Value_Statistics::Get_Minority(), Value, Count) ); }
906  virtual bool Get_Minority (CSG_String &Value, int &Count) const { return( Get_Class(CSG_Unique_Value_Statistics::Get_Minority(), Value, Count) && Count > 0 ); }
907 
908 
909 private:
910 
911  CSG_Strings m_Value;
912 
913 };
914 
915 
917 // //
918 // //
919 // //
921 
922 //---------------------------------------------------------
923 class SAGA_API_DLL_EXPORT CSG_Category_Statistics
924 {
925 public:
926  CSG_Category_Statistics (TSG_Data_Type Type = SG_DATATYPE_String);
927  virtual ~CSG_Category_Statistics (void);
928 
929  void Create (TSG_Data_Type Type = SG_DATATYPE_String);
930  void Destroy (void);
931 
932  TSG_Data_Type Get_Category_Type (void) const;
933 
934  int Add_Value (int Value);
935  int Add_Value (double Value);
936  int Add_Value (const CSG_String &Value);
937 
938  void operator += (int Value) { Add_Value(Value); }
939  void operator += (double Value) { Add_Value(Value); }
940  void operator += (const CSG_String &Value) { Add_Value(Value); }
941 
942  bool Sort (void);
943 
944  int Get_Count (void ) const;
945  int Get_Count (int iCategory) const;
946 
947  int asInt (int iCategory) const;
948  double asDouble (int iCategory) const;
949  CSG_String asString (int iCategory) const;
950 
951  int Get_Category (int Value) const;
952  int Get_Category (double Value) const;
953  int Get_Category (const CSG_String &Value) const;
954 
955  bool Get_Category (int iCategory, int &Value, int &Count) const
956  {
957  Count = Get_Count(iCategory);
958  Value = asInt (iCategory);
959 
960  return( iCategory >= 0 && iCategory < Get_Count() );
961  }
962 
963  bool Get_Category (int iCategory, double &Value, int &Count) const
964  {
965  Count = Get_Count(iCategory);
966  Value = asDouble (iCategory);
967 
968  return( iCategory >= 0 && iCategory < Get_Count() );
969  }
970 
971  bool Get_Category (int iCategory, CSG_String &Value, int &Count) const
972  {
973  Count = Get_Count(iCategory);
974  Value = asString (iCategory);
975 
976  return( iCategory >= 0 && iCategory < Get_Count() );
977  }
978 
979  int Get_Majority (void);
980  bool Get_Majority (int &Value ) { int Count; return( Get_Category(Get_Majority(), Value, Count) ); }
981  bool Get_Majority (double &Value ) { int Count; return( Get_Category(Get_Majority(), Value, Count) ); }
982  bool Get_Majority (CSG_String &Value ) { int Count; return( Get_Category(Get_Majority(), Value, Count) ); }
983  bool Get_Majority (int &Value, int &Count) { return( Get_Category(Get_Majority(), Value, Count) && Count > 0 ); }
984  bool Get_Majority (double &Value, int &Count) { return( Get_Category(Get_Majority(), Value, Count) && Count > 0 ); }
985  bool Get_Majority (CSG_String &Value, int &Count) { return( Get_Category(Get_Majority(), Value, Count) && Count > 0 ); }
986 
987  int Get_Minority (void);
988  bool Get_Minority (int &Value ) { int Count; return( Get_Category(Get_Minority(), Value, Count) ); }
989  bool Get_Minority (double &Value ) { int Count; return( Get_Category(Get_Minority(), Value, Count) ); }
990  bool Get_Minority (CSG_String &Value ) { int Count; return( Get_Category(Get_Minority(), Value, Count) ); }
991  bool Get_Minority (int &Value, int &Count) { return( Get_Category(Get_Minority(), Value, Count) && Count > 0 ); }
992  bool Get_Minority (double &Value, int &Count) { return( Get_Category(Get_Minority(), Value, Count) && Count > 0 ); }
993  bool Get_Minority (CSG_String &Value, int &Count) { return( Get_Category(Get_Minority(), Value, Count) && Count > 0 ); }
994 
995 
996 private:
997 
998  class CSG_Table *m_pTable;
999 
1000 };
1001 
1002 
1004 // //
1005 // //
1006 // //
1008 
1009 //---------------------------------------------------------
1010 class SAGA_API_DLL_EXPORT CSG_Histogram
1011 {
1012 public:
1013  CSG_Histogram(void);
1014  virtual ~CSG_Histogram(void);
1015 
1016  bool Destroy (void);
1017 
1018  CSG_Histogram (const CSG_Histogram &Histogram);
1019  bool Create (const CSG_Histogram &Histogram);
1020 
1021  CSG_Histogram (size_t nClasses, double Minimum, double Maximum);
1022  bool Create (size_t nClasses, double Minimum, double Maximum);
1023 
1024  CSG_Histogram (size_t nClasses, double Minimum, double Maximum, const CSG_Vector &Values , size_t maxSamples = 0);
1025  bool Create (size_t nClasses, double Minimum, double Maximum, const CSG_Vector &Values , size_t maxSamples = 0);
1026 
1027  CSG_Histogram (size_t nClasses, double Minimum, double Maximum, class CSG_Table *pTable, int Field, size_t maxSamples = 0);
1028  bool Create (size_t nClasses, double Minimum, double Maximum, class CSG_Table *pTable, int Field, size_t maxSamples = 0);
1029 
1030  CSG_Histogram (size_t nClasses, double Minimum, double Maximum, class CSG_Grid *pGrid , size_t maxSamples = 0);
1031  bool Create (size_t nClasses, double Minimum, double Maximum, class CSG_Grid *pGrid , size_t maxSamples = 0);
1032 
1033  CSG_Histogram (size_t nClasses, double Minimum, double Maximum, class CSG_Grids *pGrids , size_t maxSamples = 0);
1034  bool Create (size_t nClasses, double Minimum, double Maximum, class CSG_Grids *pGrids , size_t maxSamples = 0);
1035 
1036  //-----------------------------------------------------
1037  void Add_Value (double Value);
1038 
1039  bool Scale_Element_Count (double Scale);
1040 
1041  bool Update (void);
1042 
1043  size_t Get_Class_Count (void) const { return( m_nClasses ); }
1044 
1045  size_t Get_Element_Count (void) const { return( m_nClasses > 0 ? m_Cumulative[m_nClasses - 1] : 0 ); }
1046  size_t Get_Element_Maximum (void) const { return( m_nMaximum ); }
1047 
1048  size_t Get_Elements (int i) const { return( Get_Elements((size_t)i) ); }
1049  size_t Get_Elements (size_t i) const { return( i < m_nClasses ? m_Elements[i] : 0 ); }
1050 
1051  size_t Get_Cumulative (int i) const { return( Get_Cumulative((size_t)i) ); }
1052  size_t Get_Cumulative (size_t i) const { return( i < m_nClasses ? m_Cumulative[i] : 0 ); }
1053 
1054  double Get_Value (double i) const { return( m_nClasses < 1 ? m_Minimum : m_Minimum + i * m_ClassWidth ); }
1055 
1056  double Get_Break (int i) const { return( Get_Value((double)(i)) ); }
1057  double Get_Break (size_t i) const { return( Get_Value((double)(i)) ); }
1058 
1059  double Get_Center (int i) const { return( Get_Value((double)(i + 0.5)) ); }
1060  double Get_Center (size_t i) const { return( Get_Value((double)(i + 0.5)) ); }
1061 
1062  //-----------------------------------------------------
1063  CSG_Histogram & operator = (const CSG_Histogram &Histogram);
1064 
1065  void operator += (double Value) { Add_Value(Value); }
1066 
1067  size_t operator [] (int i) const { return( Get_Elements(i) ); }
1068  size_t operator [] (size_t i) const { return( Get_Elements(i) ); }
1069 
1070  double Get_Quantile (double Quantile) const;
1071  double Get_Quantile_Value (double Value) const;
1072 
1073  double Get_Percentile (double Percentile) const;
1074  double Get_Percentile_Value(double Value) const;
1075 
1076  const CSG_Simple_Statistics & Get_Statistics (void) const { return( m_Statistics ); }
1077 
1078 
1079 private:
1080 
1081  size_t m_nClasses, m_nMaximum, *m_Elements, *m_Cumulative;
1082 
1083  double m_Minimum, m_Maximum, m_ClassWidth;
1084 
1085  CSG_Simple_Statistics m_Statistics;
1086 
1087 
1088  void _On_Construction (void);
1089 
1090  bool _Create (size_t nClasses, double Minimum, double Maximum);
1091 
1092  bool _Update (sLong nElements);
1093 
1094 };
1095 
1096 
1098 // //
1099 // //
1100 // //
1102 
1103 //---------------------------------------------------------
1104 class SAGA_API_DLL_EXPORT CSG_Natural_Breaks
1105 {
1106 public:
1107  CSG_Natural_Breaks(void);
1108  virtual ~CSG_Natural_Breaks(void);
1109 
1110  CSG_Natural_Breaks (class CSG_Table *pTable, int Field, int nClasses, int Histogram = 0);
1111  bool Create (class CSG_Table *pTable, int Field, int nClasses, int Histogram = 0);
1112 
1113  CSG_Natural_Breaks (class CSG_Grid *pGrid , int nClasses, int Histogram = 0);
1114  bool Create (class CSG_Grid *pGrid , int nClasses, int Histogram = 0);
1115 
1116  CSG_Natural_Breaks (class CSG_Grids *pGrids , int nClasses, int Histogram = 0);
1117  bool Create (class CSG_Grids *pGrids , int nClasses, int Histogram = 0);
1118 
1119  CSG_Natural_Breaks (const CSG_Vector &Values , int nClasses, int Histogram = 0);
1120  bool Create (const CSG_Vector &Values , int nClasses, int Histogram = 0);
1121 
1122  int Get_Count (void) const { return( m_Breaks.Get_N() ); }
1123  double Get_Break (int i) const { return( m_Breaks[i] ); }
1124 
1125  double operator [] (int i) const { return( m_Breaks[i] ); }
1126 
1127 
1128 private:
1129 
1130  CSG_Histogram m_Histogram;
1131 
1132  CSG_Vector m_Breaks, m_Values;
1133 
1134 
1135  bool _Histogram (int nClasses);
1136 
1137  double _Get_Value (int i);
1138 
1139  bool _Calculate (int nClasses);
1140 
1141 };
1142 
1143 
1145 // //
1146 // //
1147 // //
1149 
1150 //---------------------------------------------------------
1151 enum ESG_Cluster_Analysis_Method
1152 {
1153  SG_CLUSTERANALYSIS_Minimum_Distance = 0,
1154  SG_CLUSTERANALYSIS_Hill_Climbing,
1155  SG_CLUSTERANALYSIS_Combined
1156 };
1157 
1158 //---------------------------------------------------------
1159 class SAGA_API_DLL_EXPORT CSG_Cluster_Analysis
1160 {
1161 public:
1162  CSG_Cluster_Analysis(void);
1163  virtual ~CSG_Cluster_Analysis(void);
1164 
1165  bool Create (int nFeatures);
1166  bool Destroy (void);
1167 
1168  bool Add_Element (void);
1169  bool Set_Feature (sLong iElement, int iFeature, double Value);
1170 
1171  sLong Get_Cluster (sLong iElement) const { return( iElement >= 0 && iElement < Get_nElements() ? m_Clusters[iElement] : -1 ); }
1172 
1173  bool Execute (int Method, int nClusters, int nMaxIterations = 0, int Initialization = 0);
1174 
1175  sLong Get_nElements (void) const { return( m_Features.Get_Size() ); }
1176  int Get_nFeatures (void) const { return( m_nFeatures ); }
1177  int Get_nClusters (void) const { return( (int)m_nMembers.Get_Size() ); }
1178 
1179  int Get_Iteration (void) const { return( m_Iteration ); }
1180 
1181  double Get_SP (void) const { return( m_SP ); }
1182 
1183  int Get_nMembers (int iCluster) const { return( m_nMembers[iCluster] ); }
1184  double Get_Variance (int iCluster) const { return( m_Variance[iCluster] ); }
1185  double Get_Centroid (int iCluster, int iFeature) const { return( m_Centroid[iCluster][iFeature] ); }
1186 
1187 
1188 private:
1189 
1190  int m_Iteration, m_nFeatures;
1191 
1192  double m_SP;
1193 
1194  CSG_Array_Int m_Clusters, m_nMembers;
1195 
1196  CSG_Array m_Features;
1197 
1198  CSG_Vector m_Variance;
1199 
1200  CSG_Matrix m_Centroid;
1201 
1202 
1203  bool _Minimum_Distance (bool bInitialize, int nMaxIterations);
1204 
1205  bool _Hill_Climbing (bool bInitialize, int nMaxIterations);
1206 
1207 };
1208 
1209 
1211 // //
1212 // //
1213 // //
1215 
1216 //---------------------------------------------------------
1217 enum ESG_Classify_Supervised
1218 {
1219  SG_CLASSIFY_SUPERVISED_BinaryEncoding = 0,
1220  SG_CLASSIFY_SUPERVISED_ParallelEpiped,
1221  SG_CLASSIFY_SUPERVISED_MinimumDistance,
1222  SG_CLASSIFY_SUPERVISED_Mahalonobis,
1223  SG_CLASSIFY_SUPERVISED_MaximumLikelihood,
1224  SG_CLASSIFY_SUPERVISED_SAM,
1225  SG_CLASSIFY_SUPERVISED_WTA,
1226  SG_CLASSIFY_SUPERVISED_SID,
1227  SG_CLASSIFY_SUPERVISED_SVM
1228 };
1229 
1230 //---------------------------------------------------------
1231 class SAGA_API_DLL_EXPORT CSG_Classifier_Supervised
1232 {
1233 public:
1234  CSG_Classifier_Supervised(void);
1235  virtual ~CSG_Classifier_Supervised(void);
1236 
1237  void Create (int nFeatures);
1238  void Destroy (void);
1239 
1240  bool Load (const CSG_String &File);
1241  bool Save (const CSG_String &File, const SG_Char *Feature_Info = NULL);
1242 
1243  bool Train_Clr_Samples (void);
1244  bool Train_Add_Sample (const CSG_String &Class_ID, const CSG_Vector &Features);
1245  bool Train (bool bClr_Samples = false);
1246 
1247  bool Add_Class (const CSG_String &Class_ID, const CSG_Vector &Mean, const CSG_Vector &Min, const CSG_Vector &Max, const CSG_Matrix &Cov);
1248 
1249  CSG_String Print (void);
1250 
1251  //-----------------------------------------------------
1252  int Get_Feature_Count (void) { return( m_nFeatures ); }
1253 
1254  int Get_Class_Count (void) { return( m_nClasses ); }
1255 
1256  const CSG_String & Get_Class_ID (int iClass) { return( m_pClasses[iClass]->m_ID ); }
1257  double Get_Class_Mean (int iClass, int iFeature) { return( m_pClasses[iClass]->m_Mean[iFeature] ); }
1258  double Get_Class_Minimum (int iClass, int iFeature) { return( m_pClasses[iClass]->m_Min [iFeature] ); }
1259  double Get_Class_Maximum (int iClass, int iFeature) { return( m_pClasses[iClass]->m_Max [iFeature] ); }
1260 
1261  int Get_Class (const CSG_String &Class_ID);
1262  bool Get_Class (const CSG_Vector &Features, int &Class, double &Quality, int Method);
1263 
1264  //-----------------------------------------------------
1265  void Set_Threshold_Distance (double Value);
1266  double Get_Threshold_Distance (void);
1267 
1268  void Set_Threshold_Angle (double Value);
1269  double Get_Threshold_Angle (void);
1270 
1271  void Set_Threshold_Probability (double Value);
1272  double Get_Threshold_Probability (void);
1273 
1274  void Set_Probability_Relative (bool Value);
1275  bool Get_Probability_Relative (void);
1276 
1277  void Set_WTA (int Method, bool bOn);
1278  bool Get_WTA (int Method);
1279 
1280  static CSG_String Get_Name_of_Method (int Method);
1281  static CSG_String Get_Name_of_Quality (int Method);
1282 
1283 
1284 private:
1285 
1286  //-----------------------------------------------------
1287  class CClass
1288  {
1289  public:
1290  CClass(const CSG_String &ID) : m_ID(ID) {}
1291 
1292  CSG_String m_ID;
1293 
1294  double m_Cov_Det, m_Mean_Spectral;
1295 
1296  CSG_Vector m_Mean, m_Min, m_Max;
1297 
1298  CSG_Matrix m_Cov, m_Cov_Inv, m_Samples;
1299 
1300 
1301  bool Train (void);
1302 
1303  };
1304 
1305  //-----------------------------------------------------
1306  bool m_Probability_Relative, m_bWTA[SG_CLASSIFY_SUPERVISED_WTA];
1307 
1308  int m_nFeatures, m_nClasses;
1309 
1310  double m_Threshold_Distance, m_Threshold_Probability, m_Threshold_Angle;
1311 
1312  CSG_String m_Info;
1313 
1314  CClass **m_pClasses;
1315 
1316 
1317  void _Get_Binary_Encoding (const CSG_Vector &Features, int &Class, double &Quality);
1318  void _Get_Parallel_Epiped (const CSG_Vector &Features, int &Class, double &Quality);
1319  void _Get_Minimum_Distance (const CSG_Vector &Features, int &Class, double &Quality);
1320  void _Get_Mahalanobis_Distance (const CSG_Vector &Features, int &Class, double &Quality);
1321  void _Get_Maximum_Likelihood (const CSG_Vector &Features, int &Class, double &Quality);
1322  void _Get_Spectral_Angle_Mapping (const CSG_Vector &Features, int &Class, double &Quality);
1323  void _Get_Spectral_Divergence (const CSG_Vector &Features, int &Class, double &Quality);
1324  void _Get_Winner_Takes_All (const CSG_Vector &Features, int &Class, double &Quality);
1325 
1326 };
1327 
1328 
1330 // //
1331 // //
1332 // //
1334 
1335 //---------------------------------------------------------
1336 #ifdef WITH_MRMR
1337 
1338 //---------------------------------------------------------
1339 enum ESG_mRMR_Method
1340 {
1341  SG_mRMR_Method_MID = 0, // Mutual Information Difference (MID)
1342  SG_mRMR_Method_MIQ // Mutual Information Quotient (MIQ)
1343 };
1344 
1345 //---------------------------------------------------------
1346 class SAGA_API_DLL_EXPORT CSG_mRMR
1347 {
1348 public:
1349 
1350  CSG_mRMR(void);
1351  virtual ~CSG_mRMR(void);
1352 
1353  void Destroy (void);
1354 
1355  static CSG_String Get_Description (void);
1356 
1357  static bool Parameters_Add (class CSG_Parameters *pParameters, class CSG_Parameter *pNode = NULL);
1358  static int Parameters_Enable (class CSG_Parameters *pParameters, class CSG_Parameter *pParameter);
1359 
1360  void Set_Verbose (bool bOn = true) { m_bVerbose = bOn; }
1361 
1362  bool Set_Data (CSG_Table &Data, int ClassField, class CSG_Parameters *pParameters);
1363  bool Set_Data (CSG_Matrix &Data, int ClassField, class CSG_Parameters *pParameters);
1364  bool Set_Data (CSG_Table &Data, int ClassField = 0, double Threshold = -1.);
1365  bool Set_Data (CSG_Matrix &Data, int ClassField = 0, double Threshold = -1.);
1366 
1367  bool Get_Selection (class CSG_Parameters *pParameters);
1368  bool Get_Selection (int nFeatures, int Method);
1369 
1370  int Get_Count (void) const;
1371  int Get_Index (int i) const;
1372  CSG_String Get_Name (int i) const;
1373  double Get_Score (int i) const;
1374 
1375 
1376 private:
1377 
1378  bool m_bDiscretized, m_bVerbose;
1379 
1380  long m_nSamples, m_nVars;
1381 
1382  double **m_Samples;
1383 
1384  CSG_Strings m_VarNames;
1385 
1386  class CSG_Table *m_pSelection;
1387 
1388 
1389  bool Get_Memory (int nVars, int nSamples);
1390 
1391  bool Discretize (double Threshold);
1392 
1393  double Get_MutualInfo (long v1, long v2);
1394  double Get_MutualInfo (double *pab, long pabhei, long pabwid);
1395 
1396  template <class T> double * Get_JointProb (T *img1, T *img2, long len, long maxstatenum, int &nstate1, int &nstate2);
1397  template <class T> void Copy_Vector (T *srcdata, long len, int *desdata, int &nstate);
1398 
1399 
1400  typedef struct SPool
1401  {
1402  char Mask;
1403  long Index;
1404  double mival;
1405  }
1406  TPool;
1407 
1408  static int Pool_Compare (const void *a, const void *b);
1409 
1410 };
1411 
1412 //---------------------------------------------------------
1413 #endif // WITH_MRMR
1414 
1415 
1417 // //
1418 // //
1419 // //
1421 
1422 //---------------------------------------------------------
1423 class SAGA_API_DLL_EXPORT CSG_Spline
1424 {
1425 public:
1426  CSG_Spline(void);
1427  virtual ~CSG_Spline(void);
1428 
1429  void Destroy (void);
1430 
1431  bool Create (double *xValues, double *yValues, int nValues, double yA = 1.0e30, double yB = 1.0e30);
1432  bool Create (double yA = 1.0e30, double yB = 1.0e30);
1433 
1434  void Add (double x, double y);
1435 
1436  int Get_Count (void) const { return( m_x.Get_N() ); }
1437  double Get_xMin (void) const { return( m_x.Get_N() > 0 ? m_x(0 ) : 0. ); }
1438  double Get_xMax (void) const { return( m_x.Get_N() > 0 ? m_x(m_x.Get_Size() - 1) : 0. ); }
1439  double Get_x (int i) const { return( i >= 0 && i < m_x.Get_N() ? m_x(i) : 0. ); }
1440  double Get_y (int i) const { return( i >= 0 && i < m_y.Get_N() ? m_y(i) : 0. ); }
1441 
1442  bool Get_Value (double x, double &y);
1443  double Get_Value (double x);
1444 
1445 
1446 protected:
1447 
1448  bool m_bCreated;
1449 
1450  CSG_Vector m_x, m_y, m_z;
1451 
1452 
1453  bool _Create (double yA, double yB);
1454 
1455 };
1456 
1457 //---------------------------------------------------------
1458 class SAGA_API_DLL_EXPORT CSG_Thin_Plate_Spline
1459 {
1460 public:
1461  CSG_Thin_Plate_Spline(void);
1462  virtual ~CSG_Thin_Plate_Spline(void);
1463 
1464  bool Destroy (void);
1465 
1466  bool Set_Point_Count (int Count) { return( m_Points.Set_Count(Count) ); }
1467  int Get_Point_Count (void) { return( (int)m_Points.Get_Count() ); }
1468 
1469  CSG_Points_3D & Get_Points (void) { return( m_Points ); }
1470 
1471  bool Add_Point (double x, double y, double z) { return( m_Points.Add( x, y, z) ); }
1472  bool Add_Point (const TSG_Point &p, double z) { return( m_Points.Add(p.x, p.y, z) ); }
1473 
1474  bool Set_Point (int Index, double x, double y, double z)
1475  {
1476  if( Index >= 0 && Index < m_Points.Get_Count() )
1477  {
1478  m_Points[Index].x = x;
1479  m_Points[Index].y = y;
1480  m_Points[Index].z = z;
1481 
1482  return( true );
1483  }
1484 
1485  return( false );
1486  }
1487 
1488  bool Set_Point (int Index, const TSG_Point &p, double z) { return( Set_Point(Index, p.x, p.y, z) ); }
1489 
1490  bool Create (double Regularization = 0., bool bSilent = true);
1491 
1492  bool is_Okay (void) { return( m_V.Get_N() > 0 ); }
1493 
1494  double Get_Value (double x, double y);
1495 
1496 
1497 private:
1498 
1499  CSG_Points_3D m_Points;
1500 
1501  CSG_Vector m_V;
1502 
1503 
1504  double _Get_hDistance (TSG_Point_3D A, TSG_Point_3D B);
1505  double _Get_Base_Funtion (double x);
1506  double _Get_Base_Funtion (TSG_Point_3D A, double x, double y);
1507 
1508 };
1509 
1510 
1512 // //
1513 // //
1514 // //
1516 
1517 //---------------------------------------------------------
1518 typedef enum
1519 {
1520  TESTDIST_TYPE_Left = 0,
1521  TESTDIST_TYPE_Right,
1522  TESTDIST_TYPE_Middle,
1523  TESTDIST_TYPE_TwoTail
1524 }
1525 TSG_Test_Distribution_Type;
1526 
1527 //---------------------------------------------------------
1528 class SAGA_API_DLL_EXPORT CSG_Test_Distribution
1529 {
1530 public:
1531 
1532  static double Get_F_Tail_from_R2 (double R2, int nPredictors, int nSamples, TSG_Test_Distribution_Type Type = TESTDIST_TYPE_Right);
1533 
1534  static double Get_F_Tail (double F , int dfn, int dfd, TSG_Test_Distribution_Type Type = TESTDIST_TYPE_Right);
1535  static double Get_F_Inverse (double alpha, int dfn, int dfd, TSG_Test_Distribution_Type Type = TESTDIST_TYPE_Right);
1536 
1537  static double Get_T_Tail (double T , int df, TSG_Test_Distribution_Type Type = TESTDIST_TYPE_Right);
1538  static double Get_T_Inverse (double alpha, int df, TSG_Test_Distribution_Type Type = TESTDIST_TYPE_Right);
1539 
1540  static double Get_Norm_P (double Z);
1541  static double Get_Norm_Z (double P);
1542 
1543 
1544 private:
1545 
1546  static double Get_Gamma (double F, double dfn, double dfd);
1547  static double Get_Log_Gamma (double a);
1548 
1549  static double Get_T_P (double T, int df);
1550  static double Get_T_Z (double T, int df);
1551  static double Get_T_Inv (double p, int df);
1552 
1553  static double _Change_Tail_Type (double p, TSG_Test_Distribution_Type from, TSG_Test_Distribution_Type to, bool bNegative);
1554 
1555 };
1556 
1557 
1559 // //
1560 // //
1561 // //
1563 
1564 //---------------------------------------------------------
1565 // Values: (matrix) array with number of variables = number of rows (x), number of samples = number of columns (y)
1566 SAGA_API_DLL_EXPORT CSG_Matrix SG_Get_Correlation_Matrix (const CSG_Matrix &Values, bool bCovariances = false);
1567 
1568 
1570 // //
1571 // //
1572 // //
1574 
1575 //---------------------------------------------------------
1576 typedef enum
1577 {
1578  REGRESSION_CORR_None = 0,
1579  REGRESSION_CORR_Smith,
1580  REGRESSION_CORR_Wherry_1,
1581  REGRESSION_CORR_Wherry_2,
1582  REGRESSION_CORR_Olkin_Pratt,
1583  REGRESSION_CORR_Pratt,
1584  REGRESSION_CORR_Claudy_3
1585 }
1586 TSG_Regression_Correction;
1587 
1588 //---------------------------------------------------------
1589 SAGA_API_DLL_EXPORT double SG_Regression_Get_Adjusted_R2 (double R2, int nSamples, int nPredictors, TSG_Regression_Correction Correction = REGRESSION_CORR_Wherry_1);
1590 
1591 
1593 // //
1595 
1596 //---------------------------------------------------------
1597 typedef enum
1598 {
1599  REGRESSION_Linear = 0, // Y = a + b * X
1600  REGRESSION_Rez_X, // Y = a + b / X
1601  REGRESSION_Rez_Y, // Y = a / (b - X)
1602  REGRESSION_Pow, // Y = a * X^b
1603  REGRESSION_Exp, // Y = a * e^(b * X)
1604  REGRESSION_Log // Y = a + b * ln(X)
1605 }
1606 TSG_Regression_Type;
1607 
1608 //---------------------------------------------------------
1609 class SAGA_API_DLL_EXPORT CSG_Regression
1610 {
1611 public:
1612  CSG_Regression(void);
1613  virtual ~CSG_Regression(void);
1614 
1615  void Destroy (void);
1616 
1617  bool Set_Values (int nValues, double *x, double *y);
1618  bool Add_Values (double x, double y);
1619 
1620  int Get_Count (void) const { return( (int)m_x.Get_Size() ); }
1621 
1622  double Get_xValue (int i) const { return( i >= 0 && i < Get_Count() ? m_x[i] : 0. ); }
1623  double Get_yValue (int i) const { return( i >= 0 && i < Get_Count() ? m_y[i] : 0. ); }
1624  bool Get_Values (int i, double &x, double &y) const
1625  {
1626  if( i >= 0 && i < Get_Count() )
1627  {
1628  x = m_x[i];
1629  y = m_y[i];
1630 
1631  return( true );
1632  }
1633 
1634  return( false );
1635  }
1636 
1637  double Get_xMin (void) const { return( m_xMin ); }
1638  double Get_xMax (void) const { return( m_xMax ); }
1639  double Get_xMean (void) const { return( m_xMean ); }
1640  double Get_xVariance (void) const { return( m_xVar ); }
1641  double Get_x (double y) const; // returns INF on error, this can be checked using the _finite() function (libc, include <float.h>)...
1642 
1643  double Get_yMin (void) const { return( m_yMin ); }
1644  double Get_yMax (void) const { return( m_yMax ); }
1645  double Get_yMean (void) const { return( m_yMean ); }
1646  double Get_yVariance (void) const { return( m_yVar ); }
1647  double Get_y (double x) const; // returns INF on error, this can be checked using the _finite() function (libc, include <float.h>)...
1648 
1649  double Get_Constant (void) const { return( m_RConst ); }
1650  double Get_Coefficient (void) const { return( m_RCoeff ); }
1651  double Get_R (void) const { return( m_R ); }
1652  double Get_R2 (void) const { return( m_R2 ); }
1653  double Get_R2_Adj (void) const { return( m_R2_Adj ); }
1654  double Get_P (void) const { return( m_P ); }
1655  double Get_StdError (void) const { return( m_SE ); }
1656 
1657  const SG_Char * asString (void);
1658 
1659  TSG_Regression_Type Get_Type (void) const { return( m_Type ); }
1660 
1661  bool Calculate ( TSG_Regression_Type Type = REGRESSION_Linear, bool bStdError = false);
1662  bool Calculate (int nValues, double *x, double *y, TSG_Regression_Type Type = REGRESSION_Linear, bool bStdError = false);
1663 
1664 
1665 protected:
1666 
1667  double m_RConst, m_RCoeff, m_R, m_R2, m_R2_Adj, m_P, m_SE,
1668  m_xMin, m_xMax, m_xMean, m_xVar,
1669  m_yMin, m_yMax, m_yMean, m_yVar;
1670 
1671  CSG_Vector m_x, m_y;
1672 
1673  TSG_Regression_Type m_Type;
1674 
1675 
1676  double _Y_Transform (double x);
1677  double _X_Transform (double y);
1678 
1679 };
1680 
1681 
1683 // //
1685 
1686 //---------------------------------------------------------
1687 enum ESG_Multiple_Regression_Info_Vars
1688 {
1689  MLR_VAR_ID = 0,
1690  MLR_VAR_NAME,
1691  MLR_VAR_RCOEFF,
1692  MLR_VAR_R,
1693  MLR_VAR_R2,
1694  MLR_VAR_R2_ADJ,
1695  MLR_VAR_SE,
1696  MLR_VAR_T,
1697  MLR_VAR_SIG,
1698  MLR_VAR_P
1699 };
1700 
1701 //---------------------------------------------------------
1702 class SAGA_API_DLL_EXPORT CSG_Regression_Multiple
1703 {
1704 public:
1705  CSG_Regression_Multiple(bool bIntercept = true);
1706  virtual ~CSG_Regression_Multiple(void);
1707 
1708  void Destroy (void);
1709 
1710  bool Set_Data (const CSG_Matrix &Samples, CSG_Strings *pNames = NULL);
1711 
1712  void Set_With_Intercept (bool bOn = true) { m_bIntercept = bOn; }
1713  bool Get_With_Intercept (void) const { return( m_bIntercept ); }
1714 
1715  bool Get_Model (const CSG_Matrix &Samples , CSG_Strings *pNames = NULL);
1716  bool Get_Model_Forward (const CSG_Matrix &Samples, double P_in , CSG_Strings *pNames = NULL);
1717  bool Get_Model_Backward (const CSG_Matrix &Samples, double P_out , CSG_Strings *pNames = NULL);
1718  bool Get_Model_Stepwise (const CSG_Matrix &Samples, double P_in, double P_out, CSG_Strings *pNames = NULL);
1719 
1720  bool Get_Model (void);
1721  bool Get_Model_Forward (double P_in);
1722  bool Get_Model_Backward (double P_out);
1723  bool Get_Model_Stepwise (double P_in, double P_out);
1724 
1725  bool Get_CrossValidation (int nSubSamples = 0);
1726 
1727  CSG_String Get_Info (void) const;
1728  class CSG_Table * Get_Info_Regression (void) const { return( m_pRegression ); }
1729  class CSG_Table * Get_Info_Model (void) const { return( m_pModel ); }
1730  class CSG_Table * Get_Info_Steps (void) const { return( m_pSteps ); }
1731 
1732  double Get_R2 (void) const;
1733  double Get_R2_Adj (void) const;
1734  double Get_StdError (void) const;
1735  double Get_F (void) const;
1736  double Get_P (void) const;
1737  double Get_CV_RMSE (void) const;
1738  double Get_CV_NRMSE (void) const;
1739  double Get_CV_R2 (void) const;
1740  int Get_CV_nSamples (void) const;
1741  int Get_DegFreedom (void) const;
1742  int Get_nSamples (void) const;
1743  int Get_nPredictors (void) const;
1744  int Get_Predictor (int i) const { return( i >= 0 && i < Get_nPredictors() ? m_Predictor[i] : -1 ); }
1745 
1746  double Get_RConst (void) const;
1747  const SG_Char * Get_Name (int iVariable) const;
1748  double Get_ID (int iVariable) const { return( Get_Parameter(iVariable, MLR_VAR_ID ) ); }
1749  double Get_RCoeff (int iVariable) const { return( Get_Parameter(iVariable, MLR_VAR_RCOEFF) ); }
1750  double Get_R2_Partial (int iVariable) const { return( Get_Parameter(iVariable, MLR_VAR_R2 ) ); }
1751  double Get_R2_Partial_Adj (int iVariable) const { return( Get_Parameter(iVariable, MLR_VAR_R2_ADJ) ); }
1752  double Get_StdError (int iVariable) const { return( Get_Parameter(iVariable, MLR_VAR_SE ) ); }
1753  double Get_T (int iVariable) const { return( Get_Parameter(iVariable, MLR_VAR_T ) ); }
1754  double Get_P (int iVariable) const { return( Get_Parameter(iVariable, MLR_VAR_SIG ) ); }
1755 
1756  double Get_Parameter (int iVariable, int Parameter) const;
1757 
1758  double Get_Value (const CSG_Vector &Predictors) const;
1759  bool Get_Value (const CSG_Vector &Predictors, double &Value) const;
1760 
1761  double Get_Residual (int iSample) const;
1762  bool Get_Residual (int iSample, double &Residual) const;
1763 
1764  bool Get_Residuals (CSG_Vector &Residuals) const;
1765 
1766 
1767 protected:
1768 
1769  bool m_bIntercept;
1770 
1771  int *m_bIncluded, *m_Predictor, m_nPredictors;
1772 
1773  CSG_Strings m_Names;
1774 
1775  CSG_Matrix m_Samples, m_Samples_Model;
1776 
1777  class CSG_Table *m_pRegression, *m_pModel, *m_pSteps;
1778 
1779 
1780  bool _Initialize (bool bInclude);
1781 
1782  double _Get_F (int nPredictors, int nSamples, double r2_full, double r2_reduced);
1783  double _Get_P (int nPredictors, int nSamples, double r2_full, double r2_reduced);
1784 
1785  bool _Get_Regression (const class CSG_Matrix &Samples);
1786 
1787  int _Get_Step_In (CSG_Matrix &X, double P_in , double &R2, const CSG_Matrix &Samples);
1788  int _Get_Step_Out (CSG_Matrix &X, double P_out, double &R2);
1789 
1790  bool _Set_Step_Info (const CSG_Matrix &X);
1791  bool _Set_Step_Info (const CSG_Matrix &X, double R2_prev, int iVariable, bool bIn);
1792 
1793 };
1794 
1795 
1797 // //
1799 
1800 //---------------------------------------------------------
1801 class SAGA_API_DLL_EXPORT CSG_Regression_Weighted
1802 {
1803 public:
1804  CSG_Regression_Weighted(void);
1805  virtual ~CSG_Regression_Weighted(void);
1806 
1807  bool Destroy (void);
1808 
1809  bool Add_Sample (double Weight, double Dependent, const CSG_Vector &Predictors);
1810  int Get_Sample_Count (void) const { return( m_X.Get_NY() ); }
1811  int Get_Predictor_Count (void) const { return( m_X.Get_NX() - 1 ); }
1812 
1813  bool Calculate (const CSG_Vector &Weights, const CSG_Vector &Dependents, const CSG_Matrix &Predictors, bool bLogistic = false);
1814  bool Calculate (bool bLogistic = false);
1815 
1816  double Get_R2 (void) const { return( m_r2 ); }
1817  const CSG_Vector & Get_RCoeff (void) const { return( m_b ); }
1818  double Get_RCoeff (int i) const { return( m_b[i] ); }
1819  double operator [] (int i) const { return( m_b[i] ); }
1820 
1821  //-----------------------------------------------------
1822  int Get_Log_maxIter (void) const { return( m_Log_maxIter ); }
1823  double Get_Log_Epsilon (void) const { return( m_Log_Epsilon ); }
1824  double Get_Log_Difference (void) const { return( m_Log_Difference ); }
1825 
1826  bool Set_Log_maxIter (int maxIter );
1827  bool Set_Log_Epsilon (double Epsilon );
1828  bool Set_Log_Difference (double Difference);
1829 
1830  //-----------------------------------------------------
1831  bool Get_CrossValidation (int nSubSamples = 0);
1832 
1833  int Get_CV_nSamples (void) const { return( m_CV_nSamples ); }
1834  double Get_CV_RMSE (void) const { return( m_CV_RMSE ); }
1835  double Get_CV_NRMSE (void) const { return( m_CV_NRMSE ); }
1836  double Get_CV_R2 (void) const { return( m_CV_R2 ); }
1837 
1838 
1839 private:
1840 
1841  int m_Log_maxIter, m_CV_nSamples;
1842 
1843  double m_r2, m_Log_Epsilon, m_Log_Difference, m_CV_RMSE, m_CV_NRMSE, m_CV_R2;
1844 
1845  CSG_Vector m_y, m_w, m_b;
1846 
1847  CSG_Matrix m_X;
1848 
1849 
1850  CSG_Vector _Log_Get_Beta (const CSG_Matrix &X, const CSG_Vector &y, const CSG_Vector &w);
1851  CSG_Vector _Log_Get_Beta (const CSG_Vector &b, const CSG_Matrix &X, const CSG_Vector &y, const CSG_Vector &w, const CSG_Vector &p);
1852  CSG_Matrix _Log_Get_Xwp (const CSG_Vector &p, const CSG_Matrix &X, const CSG_Vector &w);
1853  CSG_Vector _Log_Get_Ywp (const CSG_Vector &p, const CSG_Vector &y, const CSG_Vector &w);
1854  CSG_Vector _Log_Get_Props (const CSG_Matrix &X, const CSG_Vector &b);
1855  bool _Log_NoChange (const CSG_Vector &b_old, const CSG_Vector &b_new);
1856  bool _Log_OutOfControl (const CSG_Vector &b_old, const CSG_Vector &b_new);
1857 
1858 };
1859 
1860 
1862 // //
1863 // Formula Parser (A. Ringeler) //
1864 // //
1866 
1867 //---------------------------------------------------------
1868 typedef double (*TSG_Formula_Function_0)(void);
1869 typedef double (*TSG_Formula_Function_1)(double);
1870 typedef double (*TSG_Formula_Function_2)(double, double);
1871 typedef double (*TSG_Formula_Function_3)(double, double, double);
1872 
1873 //---------------------------------------------------------
1874 class SAGA_API_DLL_EXPORT CSG_Formula
1875 {
1876 public:
1877  CSG_Formula(void);
1878  virtual ~CSG_Formula(void);
1879 
1880  bool Destroy (void);
1881 
1882  static CSG_String Get_Help_Operators (bool bHTML = true, const CSG_String Additional[][2] = NULL);
1883 
1884  bool Get_Error (CSG_String &Message);
1885 
1886  bool Add_Function (const char *Name, TSG_Formula_Function_1 Function, int nParameters, bool bVarying = false);
1887 
1888  bool Set_Formula (const CSG_String &Formula);
1889  CSG_String Get_Formula (void) const { return( m_sFormula ); }
1890 
1891  void Set_Variable (char Variable, double Value);
1892 
1893  double Get_Value (void ) const;
1894  double Get_Value (double x ) const;
1895  double Get_Value (const CSG_Vector &Values ) const;
1896  double Get_Value (double *Values, int nValues) const;
1897  double Get_Value (const char *Arguments, ... ) const;
1898 
1899  const char * Get_Used_Variables (void);
1900 
1901 
1902  //-----------------------------------------------------
1903  typedef struct SSG_Function
1904  {
1905  const char *Name;
1906 
1907  TSG_Formula_Function_1 Function;
1908 
1909  int nParameters;
1910 
1911  bool bVarying;
1912  }
1913  TSG_Function;
1914 
1915 
1916 private:
1917 
1918  //-----------------------------------------------------
1919  typedef struct SSG_Formula
1920  {
1921  char *code;
1922 
1923  double *ctable;
1924  }
1925  TSG_Formula;
1926 
1927 
1928  //-----------------------------------------------------
1929  bool m_bError, m_Vars_Used[256];
1930 
1931  int m_Error_Position, m_Length;
1932 
1933  TSG_Formula m_Formula;
1934 
1935  TSG_Function *m_Functions;
1936 
1937 
1938  CSG_String m_sFormula, m_sError;
1939 
1940  const char *m_error;
1941 
1942  int m_pctable;
1943 
1944  double m_Parameters[32], *m_ctable;
1945 
1946 
1947  void _Set_Error (const CSG_String &Error = "");
1948 
1949  double _Get_Value (const double *Parameters, TSG_Formula Function) const;
1950 
1951  int _is_Operand (char c);
1952  int _is_Operand_Code (char c);
1953  int _is_Number (char c);
1954 
1955  int _Get_Function (int i, char *Name, int *nParameters, int *bVarying);
1956  int _Get_Function (const char *Name);
1957 
1958  TSG_Formula _Translate (const char *source, const char *args, int *length, int *error);
1959 
1960  char * _i_trans (char *function, char *begin, char *end);
1961  char * _comp_time (char *function, char *fend, int npars);
1962  int _max_size (const char *source);
1963  char * _my_strtok (char *s);
1964 
1965 };
1966 
1967 
1969 // //
1970 // //
1971 // //
1973 
1974 //---------------------------------------------------------
1975 enum ESG_Trend_String
1976 {
1977  SG_TREND_STRING_Formula = 0,
1978  SG_TREND_STRING_Function,
1979  SG_TREND_STRING_Formula_Parameters,
1980  SG_TREND_STRING_Complete,
1981  SG_TREND_STRING_Compact
1982 };
1983 
1984 //---------------------------------------------------------
1985 class SAGA_API_DLL_EXPORT CSG_Trend
1986 {
1987 public:
1988  CSG_Trend(void);
1989 
1990  bool Set_Formula (const CSG_String &Formula);
1991  CSG_String Get_Formula (int Type = SG_TREND_STRING_Complete);
1992 
1993  int Get_Parameter_Count (void) const { return( m_Params .Get_Count() ); }
1994  double * Get_Parameters (void) const { return( m_Params.m_A.Get_Data() ); }
1995  bool Init_Parameter (const SG_Char &Variable, double Value);
1996 
1997  void Clr_Data (void);
1998  bool Add_Data (double x, double y);
1999  void Set_Data (double *x, double *y, int n, bool bAdd = false);
2000  void Set_Data (const CSG_Points &Data , bool bAdd = false);
2001  int Get_Data_Count (void) const { return( (int)m_Data[0].Get_Count() ); }
2002  double Get_Data_X (int i) const { return( m_Data[0][i] ); }
2003  double Get_Data_XMin (void) { return( m_Data[0].Get_Minimum() ); }
2004  double Get_Data_XMax (void) { return( m_Data[0].Get_Maximum() ); }
2005  CSG_Simple_Statistics & Get_Data_XStats (void) { return( m_Data[0] ); }
2006  double Get_Data_Y (int i) const { return( m_Data[1][i] ); }
2007  double Get_Data_YMin (void) { return( m_Data[1].Get_Minimum() ); }
2008  double Get_Data_YMax (void) { return( m_Data[1].Get_Maximum() ); }
2009  CSG_Simple_Statistics & Get_Data_YStats (void) { return( m_Data[1] ); }
2010 
2011  bool Set_Max_Iterations (int Iterations);
2012  int Get_Max_Iterations (void) const { return( m_Iter_Max); }
2013  bool Set_Max_Lambda (double Lambda);
2014  double Get_Max_Lambda (void) const { return( m_Lambda_Max); }
2015 
2016  bool Get_Trend (double *x, double *y, int n, const CSG_String &Formula);
2017  bool Get_Trend (const CSG_Points &Data , const CSG_String &Formula);
2018  bool Get_Trend (const CSG_String &Formula);
2019  bool Get_Trend (void);
2020 
2021  bool is_Okay (void) const { return( m_bOkay ); }
2022 
2023  CSG_String Get_Error (void);
2024 
2025  double Get_ChiSquare (void) const { return( m_bOkay ? m_ChiSqr : 0. ); }
2026  double Get_R2 (void) const { return( m_bOkay ? m_ChiSqr_o : 0. ); }
2027 
2028  double Get_Value (double x) const { return( m_bOkay ? m_Formula.Get_Value(x) : 0. ); }
2029 
2030 
2031 private:
2032 
2033  //-----------------------------------------------------
2034  class SAGA_API_DLL_EXPORT CParams
2035  {
2036  public:
2037  CParams(void) {}
2038 
2039  bool Create (const CSG_String &Variables);
2040  bool Destroy (void);
2041 
2042  int Get_Count (void) const { return( (int)m_Variables.Length() ); }
2043 
2044 
2045  CSG_String m_Variables;
2046 
2047  CSG_Vector m_A, m_Atry, m_dA, m_dA2, m_Beta;
2048 
2049  CSG_Matrix m_Alpha, m_Covar;
2050 
2051  };
2052 
2053 
2054  //-----------------------------------------------------
2055  bool m_bOkay;
2056 
2057  int m_Iter_Max;
2058 
2059  double m_ChiSqr, m_ChiSqr_o, m_Lambda, m_Lambda_Max;
2060 
2061  CParams m_Params;
2062 
2063  CSG_Simple_Statistics m_Data[2];
2064 
2065  CSG_Formula m_Formula;
2066 
2067 
2068  bool _Fit_Function (void);
2069  bool _Get_Gaussj (void);
2070  bool _Get_mrqcof (CSG_Vector &Parameters, CSG_Matrix &Alpha, CSG_Vector &Beta);
2071 
2072  void _Get_Function (double &y, double *dy_da, double x, const double *Parameters);
2073 
2074 };
2075 
2076 
2078 // //
2079 // //
2080 // //
2082 
2083 //---------------------------------------------------------
2084 class SAGA_API_DLL_EXPORT CSG_Trend_Polynom
2085 {
2086 public:
2087  CSG_Trend_Polynom(void);
2088 
2089  bool Destroy (void);
2090 
2091  bool Set_Order (int Order = 1);
2092 
2093  bool Clr_Data (void);
2094  bool Set_Data (double *x, double *y, int n, bool bAdd = false);
2095  bool Add_Data (double x, double y);
2096  int Get_Data_Count (void) const { return( m_x.Get_N() ); }
2097  double Get_Data_X (int i) const { return( m_x(i) ); }
2098  double Get_Data_Y (int i) const { return( m_y(i) ); }
2099 
2100  bool Get_Trend (void);
2101 
2102  int Get_Order (void) const { return( m_Order ); }
2103  int Get_nCoefficients (void) const { return( m_Order + 1 ); }
2104  double Get_Coefficient (int i) const { return( m_a(i) ); }
2105  double Get_R2 (void) const { return( m_r2 ); }
2106 
2107  double Get_Value (double x) const;
2108 
2109 
2110 private:
2111 
2112  double m_r2;
2113 
2114  int m_Order;
2115 
2116  CSG_Vector m_x, m_y, m_a;
2117 
2118 };
2119 
2120 
2122 // //
2123 // //
2124 // //
2126 
2127 //---------------------------------------------------------
2128 #endif // #ifndef HEADER_INCLUDED__SAGA_API__mat_tools_H
CSG_Index
Definition: mat_tools.h:200
SG_Get_Square
SAGA_API_DLL_EXPORT double SG_Get_Square(double Value)
Definition: mat_tools.cpp:70
CSG_Regression_Multiple::Get_StdError
double Get_StdError(int iVariable) const
Definition: mat_tools.h:1752
CSG_Category_Statistics::Get_Majority
bool Get_Majority(CSG_String &Value, int &Count)
Definition: mat_tools.h:985
CSG_Trend::Get_Max_Lambda
double Get_Max_Lambda(void) const
Definition: mat_tools.h:2014
CSG_Regression_Multiple::Get_RCoeff
double Get_RCoeff(int iVariable) const
Definition: mat_tools.h:1749
MLR_VAR_R2_ADJ
@ MLR_VAR_R2_ADJ
Definition: mat_tools.h:1694
CSG_Category_Statistics
Definition: mat_tools.h:924
REGRESSION_CORR_Pratt
@ REGRESSION_CORR_Pratt
Definition: mat_tools.h:1583
CSG_Index::is_Okay
bool is_Okay(void) const
Definition: mat_tools.h:238
CSG_Histogram::Get_Cumulative
size_t Get_Cumulative(int i) const
Definition: mat_tools.h:1051
CSG_Regression::Get_Type
TSG_Regression_Type Get_Type(void) const
Definition: mat_tools.h:1659
CSG_Cluster_Analysis::Get_Cluster
sLong Get_Cluster(sLong iElement) const
Definition: mat_tools.h:1171
SG_Compare_Char_Ptr
SAGA_API_DLL_EXPORT int SG_Compare_Char_Ptr(const void *a, const void *b)
Definition: mat_tools.cpp:211
CSG_Histogram::Get_Cumulative
size_t Get_Cumulative(size_t i) const
Definition: mat_tools.h:1052
CSG_Trend::Get_Parameter_Count
int Get_Parameter_Count(void) const
Definition: mat_tools.h:1993
CSG_Points_3D
Definition: geo_tools.h:322
CSG_Trend_Polynom::Get_Data_Y
double Get_Data_Y(int i) const
Definition: mat_tools.h:2098
SG_Matrix_LU_Solve
SAGA_API_DLL_EXPORT bool SG_Matrix_LU_Solve(int n, const int *Permutation, const double **Matrix, double *Vector, bool bSilent=true)
Definition: mat_matrix.cpp:2053
CSG_Formula::SSG_Function::Function
TSG_Formula_Function_1 Function
Definition: mat_tools.h:1907
CSG_Category_Statistics::Get_Minority
bool Get_Minority(int &Value)
Definition: mat_tools.h:988
CSG_Classifier_Supervised::Get_Class_Minimum
double Get_Class_Minimum(int iClass, int iFeature)
Definition: mat_tools.h:1258
ESG_Classify_Supervised
ESG_Classify_Supervised
Definition: mat_tools.h:1218
SG_Matrix_Get_Rotation
SAGA_API_DLL_EXPORT CSG_Matrix SG_Matrix_Get_Rotation(double R, bool bDegree=false)
Definition: mat_matrix.cpp:1866
CSG_Trend::Get_Data_YStats
CSG_Simple_Statistics & Get_Data_YStats(void)
Definition: mat_tools.h:2009
SG_DATATYPE_String
@ SG_DATATYPE_String
Definition: api_core.h:1006
CSG_Unique_Value_Statistics::Get_Majority
virtual bool Get_Majority(CSG_String &Value, int &Count) const
Definition: mat_tools.h:830
CSG_Unique_Number_Statistics::Get_Class
bool Get_Class(int Index, double &Value, int &Count) const
Definition: mat_tools.h:858
CSG_Regression_Weighted::Get_Predictor_Count
int Get_Predictor_Count(void) const
Definition: mat_tools.h:1811
CSG_Category_Statistics::Get_Category
bool Get_Category(int iCategory, CSG_String &Value, int &Count) const
Definition: mat_tools.h:971
CSG_Unique_Value_Statistics::~CSG_Unique_Value_Statistics
virtual ~CSG_Unique_Value_Statistics(void)
Definition: mat_tools.h:813
CSG_Regression_Multiple::m_Samples_Model
CSG_Matrix m_Samples_Model
Definition: mat_tools.h:1775
CSG_Vector::cend
const_iterator cend(void) const
Definition: mat_tools.h:449
SG_CLUSTERANALYSIS_Hill_Climbing
@ SG_CLUSTERANALYSIS_Hill_Climbing
Definition: mat_tools.h:1154
CSG_Unique_Value_Statistics::m_Count
CSG_Array_Int m_Count
Definition: mat_tools.h:839
CSG_Cluster_Analysis::Get_nMembers
int Get_nMembers(int iCluster) const
Definition: mat_tools.h:1183
SG_TREND_STRING_Formula_Parameters
@ SG_TREND_STRING_Formula_Parameters
Definition: mat_tools.h:1979
CSG_Vector::Get_Data
double * Get_Data(void) const
Definition: mat_tools.h:384
CSG_PriorityQueue::CSG_PriorityQueueItem::Compare
virtual int Compare(CSG_PriorityQueueItem *pItem)=0
SG_CLASSIFY_SUPERVISED_Mahalonobis
@ SG_CLASSIFY_SUPERVISED_Mahalonobis
Definition: mat_tools.h:1222
SG_Get_Rounded
SAGA_API_DLL_EXPORT double SG_Get_Rounded(double Value, int Decimals=0)
Definition: mat_tools.cpp:83
CSG_Grid_Radius::Get_Point
double Get_Point(int iRadius, int iPoint, int xOffset, int yOffset, int &x, int &y)
Definition: mat_tools.h:661
TESTDIST_TYPE_Right
@ TESTDIST_TYPE_Right
Definition: mat_tools.h:1521
CSG_Thin_Plate_Spline::Add_Point
bool Add_Point(const TSG_Point &p, double z)
Definition: mat_tools.h:1472
CSG_Regression_Multiple::Get_R2_Partial
double Get_R2_Partial(int iVariable) const
Definition: mat_tools.h:1750
REGRESSION_CORR_Olkin_Pratt
@ REGRESSION_CORR_Olkin_Pratt
Definition: mat_tools.h:1582
CSG_Grid_Radius
Definition: mat_tools.h:609
SG_Get_Digit_Count
SAGA_API_DLL_EXPORT int SG_Get_Digit_Count(int Number)
Definition: mat_tools.cpp:144
CSG_Simple_Statistics::Get_Sum_Of_Squares
double Get_Sum_Of_Squares(void)
Definition: mat_tools.h:750
CSG_Thin_Plate_Spline::Set_Point_Count
bool Set_Point_Count(int Count)
Definition: mat_tools.h:1466
CSG_Unique_String_Statistics::Get_Minority
virtual bool Get_Minority(CSG_String &Value, int &Count) const
Definition: mat_tools.h:906
CSG_Regression_Multiple::Get_Predictor
int Get_Predictor(int i) const
Definition: mat_tools.h:1744
CSG_Trend::Get_Data_X
double Get_Data_X(int i) const
Definition: mat_tools.h:2002
A
#define A
CSG_Matrix::Get_NRows
sLong Get_NRows(void) const
Definition: mat_tools.h:523
CSG_Spline::Get_y
double Get_y(int i) const
Definition: mat_tools.h:1440
CSG_Unique_Value_Statistics::Get_Minority
virtual bool Get_Minority(double &Value) const
Definition: mat_tools.h:826
CSG_Simple_Statistics::Get_Variance
double Get_Variance(void)
Definition: mat_tools.h:752
CSG_Histogram::Get_Break
double Get_Break(int i) const
Definition: mat_tools.h:1056
CSG_Regression_Weighted::Get_RCoeff
const CSG_Vector & Get_RCoeff(void) const
Definition: mat_tools.h:1817
CSG_Unique_String_Statistics::Get_Minority
virtual bool Get_Minority(CSG_String &Value) const
Definition: mat_tools.h:905
CSG_Unique_Value_Statistics::Get_Count
int Get_Count(int i) const
Definition: mat_tools.h:818
CSG_Regression::Get_Count
int Get_Count(void) const
Definition: mat_tools.h:1620
CSG_Trend::Get_Data_Y
double Get_Data_Y(int i) const
Definition: mat_tools.h:2006
operator*
SAGA_API_DLL_EXPORT CSG_Vector operator*(double Scalar, const CSG_Vector &Vector)
Definition: mat_matrix.cpp:579
CSG_Test_Distribution
Definition: mat_tools.h:1529
TESTDIST_TYPE_Middle
@ TESTDIST_TYPE_Middle
Definition: mat_tools.h:1522
CSG_Table::Get_Value
virtual bool Get_Value(sLong Index, int iField, CSG_String &Value) const
Definition: table.cpp:1150
CSG_Index::Get_Index
sLong Get_Index(sLong Position, bool Ascending=true) const
Definition: mat_tools.h:241
CSG_Unique_Number_Statistics
Definition: mat_tools.h:847
CSG_Index::CSG_Index_Compare
Definition: mat_tools.h:203
MLR_VAR_RCOEFF
@ MLR_VAR_RCOEFF
Definition: mat_tools.h:1691
CSG_PriorityQueue::Get_Item
CSG_PriorityQueueItem * Get_Item(size_t i) const
Definition: mat_tools.h:299
CSG_Regression::Get_xVariance
double Get_xVariance(void) const
Definition: mat_tools.h:1640
CSG_Unique_Value_Statistics::Get_Minority
virtual int Get_Minority(bool bWeighted=false) const
Definition: mat_tools.cpp:833
CSG_Regression::m_yVar
double m_yVar
Definition: mat_tools.h:1669
CSG_Histogram
Definition: mat_tools.h:1011
CSG_Trend
Definition: mat_tools.h:1986
CSG_Vector::Get_uSize
size_t Get_uSize(void) const
Definition: mat_tools.h:381
CSG_Histogram::Get_Elements
size_t Get_Elements(size_t i) const
Definition: mat_tools.h:1049
SG_Matrix_Solve
SAGA_API_DLL_EXPORT bool SG_Matrix_Solve(CSG_Matrix &Matrix, CSG_Vector &Vector, bool bSilent=true)
Definition: mat_matrix.cpp:1910
CSG_Regression_Weighted::Get_R2
double Get_R2(void) const
Definition: mat_tools.h:1816
CSG_Regression::m_xVar
double m_xVar
Definition: mat_tools.h:1668
CSG_Formula::SSG_Function
Definition: mat_tools.h:1904
SSG_Point_3D
Definition: geo_tools.h:265
CSG_Regression_Weighted::Get_Log_maxIter
int Get_Log_maxIter(void) const
Definition: mat_tools.h:1822
CSG_Classifier_Supervised::Get_Feature_Count
int Get_Feature_Count(void)
Definition: mat_tools.h:1252
MLR_VAR_R2
@ MLR_VAR_R2
Definition: mat_tools.h:1693
SG_Matrix_Eigen_Reduction
SAGA_API_DLL_EXPORT bool SG_Matrix_Eigen_Reduction(const CSG_Matrix &Matrix, CSG_Matrix &Eigen_Vectors, CSG_Vector &Eigen_Values, bool bSilent=true)
Definition: mat_matrix.cpp:1933
CSG_Index::CSG_Index_Compare::Compare
virtual int Compare(const sLong a, const sLong b)=0
CSG_Trend_Polynom
Definition: mat_tools.h:2085
CSG_Regression_Multiple::Get_R2_Partial_Adj
double Get_R2_Partial_Adj(int iVariable) const
Definition: mat_tools.h:1751
CSG_Simple_Statistics::Get_Sum
double Get_Sum(void)
Definition: mat_tools.h:749
CSG_Data_Object::Get_Name
const SG_Char * Get_Name(void) const
Definition: dataobject.cpp:349
CSG_Cluster_Analysis::Get_Iteration
int Get_Iteration(void) const
Definition: mat_tools.h:1179
CSG_Unique_Number_Statistics::Get_Majority
virtual bool Get_Majority(double &Value) const
Definition: mat_tools.h:868
CSG_Spline::Get_xMax
double Get_xMax(void) const
Definition: mat_tools.h:1438
REGRESSION_CORR_Wherry_1
@ REGRESSION_CORR_Wherry_1
Definition: mat_tools.h:1580
REGRESSION_Log
@ REGRESSION_Log
Definition: mat_tools.h:1604
CSG_Cluster_Analysis
Definition: mat_tools.h:1160
CSG_Regression::Get_R2
double Get_R2(void) const
Definition: mat_tools.h:1652
CSG_Regression::Get_yMin
double Get_yMin(void) const
Definition: mat_tools.h:1643
CSG_Regression::m_SE
double m_SE
Definition: mat_tools.h:1667
CSG_Unique_String_Statistics::Get_Majority
virtual bool Get_Majority(CSG_String &Value) const
Definition: mat_tools.h:903
CSG_Natural_Breaks
Definition: mat_tools.h:1105
CSG_Formula::Get_Formula
CSG_String Get_Formula(void) const
Definition: mat_tools.h:1889
CSG_Category_Statistics::Get_Minority
bool Get_Minority(double &Value, int &Count)
Definition: mat_tools.h:992
CSG_Natural_Breaks::Get_Break
double Get_Break(int i) const
Definition: mat_tools.h:1123
CSG_Regression_Multiple::Get_P
double Get_P(int iVariable) const
Definition: mat_tools.h:1754
CSG_Regression::Get_xMean
double Get_xMean(void) const
Definition: mat_tools.h:1639
SSG_Point
Definition: geo_tools.h:128
CSG_Regression::Get_yVariance
double Get_yVariance(void) const
Definition: mat_tools.h:1646
CSG_Unique_Value_Statistics::Get_Minority
virtual bool Get_Minority(CSG_String &Value, int &Count) const
Definition: mat_tools.h:832
CSG_Category_Statistics::Get_Minority
bool Get_Minority(int &Value, int &Count)
Definition: mat_tools.h:991
CSG_Simple_Statistics::Get_Kurtosis
double Get_Kurtosis(void)
Definition: mat_tools.h:755
CSG_Regression::Get_R2_Adj
double Get_R2_Adj(void) const
Definition: mat_tools.h:1653
SG_TREND_STRING_Compact
@ SG_TREND_STRING_Compact
Definition: mat_tools.h:1981
SG_TREND_STRING_Complete
@ SG_TREND_STRING_Complete
Definition: mat_tools.h:1980
CSG_Thin_Plate_Spline::Get_Point_Count
int Get_Point_Count(void)
Definition: mat_tools.h:1467
CSG_Category_Statistics::Get_Minority
bool Get_Minority(CSG_String &Value)
Definition: mat_tools.h:990
CSG_Trend::Get_R2
double Get_R2(void) const
Definition: mat_tools.h:2026
CSG_Matrix::Get_Data
double ** Get_Data(void) const
Definition: mat_tools.h:526
CSG_Histogram::Get_Element_Count
size_t Get_Element_Count(void) const
Definition: mat_tools.h:1045
CSG_Regression_Multiple::Get_ID
double Get_ID(int iVariable) const
Definition: mat_tools.h:1748
CSG_Histogram::Get_Center
double Get_Center(int i) const
Definition: mat_tools.h:1059
CSG_Trend::Get_Data_YMax
double Get_Data_YMax(void)
Definition: mat_tools.h:2008
CSG_Category_Statistics::Get_Minority
bool Get_Minority(CSG_String &Value, int &Count)
Definition: mat_tools.h:993
MLR_VAR_T
@ MLR_VAR_T
Definition: mat_tools.h:1696
CSG_Trend_Polynom::Get_R2
double Get_R2(void) const
Definition: mat_tools.h:2105
CSG_Trend_Polynom::Get_Coefficient
double Get_Coefficient(int i) const
Definition: mat_tools.h:2104
CSG_Matrix::Get_NCols
sLong Get_NCols(void) const
Definition: mat_tools.h:522
SG_Regression_Get_Adjusted_R2
SAGA_API_DLL_EXPORT double SG_Regression_Get_Adjusted_R2(double R2, int nSamples, int nPredictors, TSG_Regression_Correction Correction=REGRESSION_CORR_Wherry_1)
Definition: mat_regression.cpp:63
SG_Get_Rounded_To_SignificantFigures
SAGA_API_DLL_EXPORT double SG_Get_Rounded_To_SignificantFigures(double Value, int Decimals)
Definition: mat_tools.cpp:107
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int Get_Maximum(void)
Definition: mat_tools.h:617
CSG_Category_Statistics::Get_Majority
bool Get_Majority(int &Value)
Definition: mat_tools.h:980
SG_CLASSIFY_SUPERVISED_SVM
@ SG_CLASSIFY_SUPERVISED_SVM
Definition: mat_tools.h:1227
CSG_Formula
Definition: mat_tools.h:1875
CSG_Spline::m_bCreated
bool m_bCreated
Definition: mat_tools.h:1448
REGRESSION_Linear
@ REGRESSION_Linear
Definition: mat_tools.h:1599
CSG_Simple_Statistics::Get_Maximum
double Get_Maximum(void)
Definition: mat_tools.h:747
SG_CLASSIFY_SUPERVISED_SID
@ SG_CLASSIFY_SUPERVISED_SID
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CSG_Unique_String_Statistics
Definition: mat_tools.h:882
SG_Get_Correlation_Matrix
SAGA_API_DLL_EXPORT CSG_Matrix SG_Get_Correlation_Matrix(const CSG_Matrix &Values, bool bCovariances=false)
Definition: mat_tools.cpp:3450
CSG_Spline::Get_x
double Get_x(int i) const
Definition: mat_tools.h:1439
REGRESSION_CORR_Claudy_3
@ REGRESSION_CORR_Claudy_3
Definition: mat_tools.h:1584
CSG_Regression_Multiple::Get_Info_Steps
class CSG_Table * Get_Info_Steps(void) const
Definition: mat_tools.h:1730
CSG_Histogram::Get_Center
double Get_Center(size_t i) const
Definition: mat_tools.h:1060
CSG_Unique_String_Statistics::~CSG_Unique_String_Statistics
virtual ~CSG_Unique_String_Statistics(void)
Definition: mat_tools.h:885
SG_CLASSIFY_SUPERVISED_WTA
@ SG_CLASSIFY_SUPERVISED_WTA
Definition: mat_tools.h:1225
CSG_Vector
Definition: mat_tools.h:360
REGRESSION_CORR_Wherry_2
@ REGRESSION_CORR_Wherry_2
Definition: mat_tools.h:1581
CSG_Parameter
Definition: parameters.h:207
TSG_Test_Distribution_Type
TSG_Test_Distribution_Type
Definition: mat_tools.h:1519
CSG_Trend::Get_Data_XMax
double Get_Data_XMax(void)
Definition: mat_tools.h:2004
CSG_Category_Statistics::Get_Majority
bool Get_Majority(int &Value, int &Count)
Definition: mat_tools.h:983
MLR_VAR_R
@ MLR_VAR_R
Definition: mat_tools.h:1692
SG_Get_Double_asString
SAGA_API_DLL_EXPORT CSG_String SG_Get_Double_asString(double Number, int Width=-1, int Precision=-1, bool bScientific=false)
Definition: mat_tools.cpp:159
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Definition: mat_tools.h:743
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Definition: mat_tools.h:1122
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sLong Get_nElements(void) const
Definition: mat_tools.h:1175
CSG_Trend_Polynom::Get_Data_X
double Get_Data_X(int i) const
Definition: mat_tools.h:2097
SG_Matrix_LU_Decomposition
SAGA_API_DLL_EXPORT bool SG_Matrix_LU_Decomposition(int n, int *Permutation, double **Matrix, bool bSilent=true, int *nRowChanges=NULL)
Definition: mat_matrix.cpp:1948
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virtual bool Get_Majority(double &Value) const
Definition: mat_tools.h:824
CSG_Classifier_Supervised::Get_Class_ID
const CSG_String & Get_Class_ID(int iClass)
Definition: mat_tools.h:1256
MLR_VAR_NAME
@ MLR_VAR_NAME
Definition: mat_tools.h:1690
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double Get_T(int iVariable) const
Definition: mat_tools.h:1753
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double Get_Minimum(void)
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TSG_PFNC_Compare
int(* TSG_PFNC_Compare)(const sLong a, const sLong b)
Definition: mat_tools.h:196
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virtual bool Get_Minority(double &Value, int &Count) const
Definition: mat_tools.h:827
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double Get_RCoeff(int i) const
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double * Get_Parameters(void) const
Definition: mat_tools.h:1994
CSG_Regression_Multiple::m_Predictor
int * m_Predictor
Definition: mat_tools.h:1771
CSG_Simple_Statistics::Get_Weights
double Get_Weights(void) const
Definition: mat_tools.h:744
CSG_Regression_Weighted::Get_Log_Difference
double Get_Log_Difference(void) const
Definition: mat_tools.h:1824
CSG_Unique_Value_Statistics
Definition: mat_tools.h:810
CSG_Unique_Number_Statistics::CSG_Unique_Number_Statistics
CSG_Unique_Number_Statistics(bool bWeights=false)
Definition: mat_tools.h:849
CSG_Regression_Weighted::Get_CV_RMSE
double Get_CV_RMSE(void) const
Definition: mat_tools.h:1834
CSG_Regression::Get_xMax
double Get_xMax(void) const
Definition: mat_tools.h:1638
SG_Degree_To_Decimal
SAGA_API_DLL_EXPORT double SG_Degree_To_Decimal(double Deg, double Min, double Sec)
Definition: mat_tools.cpp:224
sLong
signed long long sLong
Definition: api_core.h:158
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bool Get_Majority(double &Value)
Definition: mat_tools.h:981
CSG_Regression_Multiple::m_bIntercept
bool m_bIntercept
Definition: mat_tools.h:1769
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double Get_CV_R2(void) const
Definition: mat_tools.h:1836
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int m_bEvaluated
Definition: mat_tools.h:788
CSG_Trend::is_Okay
bool is_Okay(void) const
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double Get_StdDev(void)
Definition: mat_tools.h:753
ESG_Multiple_Regression_Info_Vars
ESG_Multiple_Regression_Info_Vars
Definition: mat_tools.h:1688
CSG_Histogram::Get_Break
double Get_Break(size_t i) const
Definition: mat_tools.h:1057
CSG_Regression::Get_Values
bool Get_Values(int i, double &x, double &y) const
Definition: mat_tools.h:1624
CSG_Classifier_Supervised::Get_Class_Count
int Get_Class_Count(void)
Definition: mat_tools.h:1254
CSG_PriorityQueue::Peek
CSG_PriorityQueueItem * Peek(void) const
Definition: mat_tools.h:303
TSG_Formula_Function_0
double(* TSG_Formula_Function_0)(void)
Definition: mat_tools.h:1868
CSG_Cluster_Analysis::Get_Variance
double Get_Variance(int iCluster) const
Definition: mat_tools.h:1184
CSG_Unique_Number_Statistics::Get_Minority
virtual bool Get_Minority(double &Value, int &Count) const
Definition: mat_tools.h:871
CSG_Regression::Get_yValue
double Get_yValue(int i) const
Definition: mat_tools.h:1623
SG_CLASSIFY_SUPERVISED_SAM
@ SG_CLASSIFY_SUPERVISED_SAM
Definition: mat_tools.h:1224
CSG_Regression::m_Type
TSG_Regression_Type m_Type
Definition: mat_tools.h:1673
CSG_Trend_Polynom::Get_nCoefficients
int Get_nCoefficients(void) const
Definition: mat_tools.h:2103
CSG_Array_Int
Definition: api_core.h:423
CSG_Trend::Get_Data_XMin
double Get_Data_XMin(void)
Definition: mat_tools.h:2003
CSG_Simple_Statistics::is_Evaluated
int is_Evaluated(void) const
Definition: mat_tools.h:739
CSG_Vector::Get_N
int Get_N(void) const
Definition: mat_tools.h:382
REGRESSION_Rez_X
@ REGRESSION_Rez_X
Definition: mat_tools.h:1600
SAGA_API_DLL_EXPORT
#define SAGA_API_DLL_EXPORT
Definition: api_core.h:94
CSG_Vector::cbegin
const_iterator cbegin(void) const
Definition: mat_tools.h:448
REGRESSION_Rez_Y
@ REGRESSION_Rez_Y
Definition: mat_tools.h:1601
CSG_Classifier_Supervised::Get_Class_Maximum
double Get_Class_Maximum(int iClass, int iFeature)
Definition: mat_tools.h:1259
CSG_Formula::SSG_Function::nParameters
int nParameters
Definition: mat_tools.h:1909
CSG_Unique_Value_Statistics::m_Weight
CSG_Vector m_Weight
Definition: mat_tools.h:841
SG_CLASSIFY_SUPERVISED_ParallelEpiped
@ SG_CLASSIFY_SUPERVISED_ParallelEpiped
Definition: mat_tools.h:1220
CSG_Regression::Get_Constant
double Get_Constant(void) const
Definition: mat_tools.h:1649
CSG_Vector::end
const_iterator end(void) const
Definition: mat_tools.h:447
CSG_Unique_Number_Statistics::~CSG_Unique_Number_Statistics
virtual ~CSG_Unique_Number_Statistics(void)
Definition: mat_tools.h:850
CSG_Grid_Radius::Get_nPoints
int Get_nPoints(int iRadius)
Definition: mat_tools.h:620
CSG_Simple_Statistics::Get_Mean
double Get_Mean(void)
Definition: mat_tools.h:751
CSG_Strings
Definition: api_core.h:700
CSG_Simple_Statistics::Get_Skewness
double Get_Skewness(void)
Definition: mat_tools.h:756
CSG_Regression_Weighted::Get_CV_NRMSE
double Get_CV_NRMSE(void) const
Definition: mat_tools.h:1835
REGRESSION_Pow
@ REGRESSION_Pow
Definition: mat_tools.h:1602
CSG_Unique_Value_Statistics::Get_Count
int Get_Count(void) const
Definition: mat_tools.h:817
CSG_Points
Definition: geo_tools.h:185
CSG_Category_Statistics::Get_Minority
bool Get_Minority(double &Value)
Definition: mat_tools.h:989
SG_CLASSIFY_SUPERVISED_MaximumLikelihood
@ SG_CLASSIFY_SUPERVISED_MaximumLikelihood
Definition: mat_tools.h:1223
CSG_Histogram::Get_Class_Count
size_t Get_Class_Count(void) const
Definition: mat_tools.h:1043
SG_Compare_Int
SAGA_API_DLL_EXPORT int SG_Compare_Int(const void *a, const void *b)
Definition: mat_tools.cpp:187
SG_CLUSTERANALYSIS_Combined
@ SG_CLUSTERANALYSIS_Combined
Definition: mat_tools.h:1155
CSG_Regression_Multiple::Get_With_Intercept
bool Get_With_Intercept(void) const
Definition: mat_tools.h:1713
CSG_Unique_Number_Statistics::Get_Value
double Get_Value(int Index) const
Definition: mat_tools.h:856
CSG_Vector::Get_Data
double Get_Data(sLong x) const
Definition: mat_tools.h:385
CSG_Regression_Multiple::Set_With_Intercept
void Set_With_Intercept(bool bOn=true)
Definition: mat_tools.h:1712
CSG_Cluster_Analysis::Get_SP
double Get_SP(void) const
Definition: mat_tools.h:1181
CSG_Table
Definition: table.h:285
CSG_Matrix::is_Square
bool is_Square(void) const
Definition: mat_tools.h:536
CSG_Cluster_Analysis::Get_nFeatures
int Get_nFeatures(void) const
Definition: mat_tools.h:1176
CSG_Vector::Get_Size
sLong Get_Size(void) const
Definition: mat_tools.h:380
ESG_Trend_String
ESG_Trend_String
Definition: mat_tools.h:1976
CSG_Unique_Value_Statistics::Get_Majority
virtual bool Get_Majority(double &Value, int &Count) const
Definition: mat_tools.h:825
TSG_Regression_Type
TSG_Regression_Type
Definition: mat_tools.h:1598
CSG_Unique_String_Statistics::Get_Majority
virtual bool Get_Majority(CSG_String &Value, int &Count) const
Definition: mat_tools.h:904
CSG_Spline::Get_xMin
double Get_xMin(void) const
Definition: mat_tools.h:1437
TSG_Regression_Correction
TSG_Regression_Correction
Definition: mat_tools.h:1577
CSG_Regression_Weighted::Get_CV_nSamples
int Get_CV_nSamples(void) const
Definition: mat_tools.h:1833
SG_TREND_STRING_Formula
@ SG_TREND_STRING_Formula
Definition: mat_tools.h:1977
CSG_PriorityQueue::Get_Size
size_t Get_Size(void) const
Definition: mat_tools.h:298
TSG_Formula_Function_2
double(* TSG_Formula_Function_2)(double, double)
Definition: mat_tools.h:1870
CSG_Regression_Weighted
Definition: mat_tools.h:1802
CSG_Simple_Statistics::m_nValues
sLong m_nValues
Definition: mat_tools.h:790
TESTDIST_TYPE_TwoTail
@ TESTDIST_TYPE_TwoTail
Definition: mat_tools.h:1523
SG_Char
#define SG_Char
Definition: api_core.h:536
CSG_Spline
Definition: mat_tools.h:1424
CSG_Thin_Plate_Spline::Get_Points
CSG_Points_3D & Get_Points(void)
Definition: mat_tools.h:1469
CSG_Regression::Get_xMin
double Get_xMin(void) const
Definition: mat_tools.h:1637
CSG_Array
Definition: api_core.h:308
CSG_Classifier_Supervised::Get_Class_Mean
double Get_Class_Mean(int iClass, int iFeature)
Definition: mat_tools.h:1257
B
#define B
CSG_PriorityQueue::Minimum
CSG_PriorityQueueItem * Minimum(void) const
Definition: mat_tools.h:307
CSG_String
Definition: api_core.h:563
CSG_Formula::SSG_Function::Name
const char * Name
Definition: mat_tools.h:1905
CSG_Unique_Value_Statistics::Get_Weight
double Get_Weight(int i) const
Definition: mat_tools.h:819
CSG_Simple_Statistics::Get_Values
double * Get_Values(void) const
Definition: mat_tools.h:774
CSG_Simple_Statistics::Get_Value
double Get_Value(sLong i) const
Definition: mat_tools.h:775
CSG_Regression_Multiple::m_pSteps
class CSG_Table * m_pSteps
Definition: mat_tools.h:1777
CSG_Regression::m_y
CSG_Vector m_y
Definition: mat_tools.h:1671
CSG_Regression::Get_Coefficient
double Get_Coefficient(void) const
Definition: mat_tools.h:1650
CSG_PriorityQueue::is_Empty
bool is_Empty(void) const
Definition: mat_tools.h:297
CSG_Regression::Get_R
double Get_R(void) const
Definition: mat_tools.h:1651
TSG_Formula_Function_1
double(* TSG_Formula_Function_1)(double)
Definition: mat_tools.h:1869
CSG_Category_Statistics::Get_Majority
bool Get_Majority(double &Value, int &Count)
Definition: mat_tools.h:984
CSG_Simple_Statistics::Get_Range
double Get_Range(void)
Definition: mat_tools.h:748
CSG_Unique_Number_Statistics::Get_Minority
virtual bool Get_Minority(double &Value) const
Definition: mat_tools.h:870
MLR_VAR_P
@ MLR_VAR_P
Definition: mat_tools.h:1698
CSG_Regression_Multiple::Get_Info_Model
class CSG_Table * Get_Info_Model(void) const
Definition: mat_tools.h:1729
CSG_Unique_Value_Statistics::Get_Majority
virtual int Get_Majority(bool bWeighted=false) const
Definition: mat_tools.cpp:805
CSG_Regression_Multiple::m_Names
CSG_Strings m_Names
Definition: mat_tools.h:1773
SG_CLASSIFY_SUPERVISED_BinaryEncoding
@ SG_CLASSIFY_SUPERVISED_BinaryEncoding
Definition: mat_tools.h:1219
SSG_Point::x
double x
Definition: geo_tools.h:129
SG_VectorR2_Rotate
SAGA_API_DLL_EXPORT bool SG_VectorR2_Rotate(double &x, double &y, double Angle)
Definition: mat_matrix.cpp:750
CSG_Cluster_Analysis::Get_nClusters
int Get_nClusters(void) const
Definition: mat_tools.h:1177
CSG_Category_Statistics::Get_Category
bool Get_Category(int iCategory, double &Value, int &Count) const
Definition: mat_tools.h:963
SG_TREND_STRING_Function
@ SG_TREND_STRING_Function
Definition: mat_tools.h:1978
CSG_Random
Definition: mat_tools.h:700
CSG_Cluster_Analysis::Get_Centroid
double Get_Centroid(int iCluster, int iFeature) const
Definition: mat_tools.h:1185
CSG_PriorityQueue
Definition: mat_tools.h:275
CSG_Formula::TSG_Function
struct CSG_Formula::SSG_Function TSG_Function
CSG_Formula::SSG_Function::bVarying
bool bVarying
Definition: mat_tools.h:1911
CSG_Unique_Value_Statistics::Create
virtual void Create(bool bWeights=false)
Definition: mat_tools.h:815
CSG_Grid_Radius::Get_Point
double Get_Point(int iPoint, int &x, int &y)
Definition: mat_tools.h:622
CSG_Trend_Polynom::Get_Data_Count
int Get_Data_Count(void) const
Definition: mat_tools.h:2096
CSG_Regression::Get_StdError
double Get_StdError(void) const
Definition: mat_tools.h:1655
SSG_Point::y
double y
Definition: geo_tools.h:129
CSG_Grid
Definition: grid.h:475
CSG_Unique_Value_Statistics::Get_Majority
virtual bool Get_Majority(CSG_String &Value) const
Definition: mat_tools.h:829
TSG_Formula_Function_3
double(* TSG_Formula_Function_3)(double, double, double)
Definition: mat_tools.h:1871
MLR_VAR_ID
@ MLR_VAR_ID
Definition: mat_tools.h:1689
CSG_Unique_Number_Statistics::Get_Majority
virtual bool Get_Majority(double &Value, int &Count) const
Definition: mat_tools.h:869
CSG_Unique_Value_Statistics::Get_Minority
virtual bool Get_Minority(CSG_String &Value) const
Definition: mat_tools.h:831
CSG_Trend::Get_Value
double Get_Value(double x) const
Definition: mat_tools.h:2028
MLR_VAR_SE
@ MLR_VAR_SE
Definition: mat_tools.h:1695
CSG_Trend::Get_Data_Count
int Get_Data_Count(void) const
Definition: mat_tools.h:2001
SG_CLASSIFY_SUPERVISED_MinimumDistance
@ SG_CLASSIFY_SUPERVISED_MinimumDistance
Definition: mat_tools.h:1221
SG_Compare_Double
SAGA_API_DLL_EXPORT int SG_Compare_Double(const void *a, const void *b)
Definition: mat_tools.cpp:199
CSG_PriorityQueue::CSG_PriorityQueueItem::CSG_PriorityQueueItem
CSG_PriorityQueueItem(void)
Definition: mat_tools.h:282
CSG_Trend::Get_Data_YMin
double Get_Data_YMin(void)
Definition: mat_tools.h:2007
CSG_Unique_String_Statistics::Get_Value
const SG_Char * Get_Value(int Index) const
Definition: mat_tools.h:891
CSG_Unique_Value_Statistics::CSG_Unique_Value_Statistics
CSG_Unique_Value_Statistics(void)
Definition: mat_tools.h:812
CSG_Grid_Radius::Get_Point
double Get_Point(int iPoint, int xOffset, int yOffset, int &x, int &y)
Definition: mat_tools.h:635
CSG_Thin_Plate_Spline
Definition: mat_tools.h:1459
CSG_Vector::begin
const_iterator begin(void) const
Definition: mat_tools.h:446
CSG_Parameters
Definition: parameters.h:1690
CSG_Grid_Radius::Get_nPoints
int Get_nPoints(void)
Definition: mat_tools.h:619
TSG_Data_Type
TSG_Data_Type
Definition: api_core.h:994
TESTDIST_TYPE_Left
@ TESTDIST_TYPE_Left
Definition: mat_tools.h:1520
CSG_Unique_String_Statistics::Get_Class
bool Get_Class(int Index, CSG_String &Value, int &Count) const
Definition: mat_tools.h:893
SG_CLUSTERANALYSIS_Minimum_Distance
@ SG_CLUSTERANALYSIS_Minimum_Distance
Definition: mat_tools.h:1153
CSG_Thin_Plate_Spline::Set_Point
bool Set_Point(int Index, double x, double y, double z)
Definition: mat_tools.h:1474
CSG_Category_Statistics::Get_Majority
bool Get_Majority(CSG_String &Value)
Definition: mat_tools.h:982
CSG_Grid_Radius::Get_Point
double Get_Point(int iRadius, int iPoint, int &x, int &y)
Definition: mat_tools.h:648
CSG_Regression::Get_P
double Get_P(void) const
Definition: mat_tools.h:1654
MLR_VAR_SIG
@ MLR_VAR_SIG
Definition: mat_tools.h:1697
CSG_PriorityQueue::CSG_PriorityQueueItem
Definition: mat_tools.h:280
CSG_PriorityQueue::Maximum
CSG_PriorityQueueItem * Maximum(void) const
Definition: mat_tools.h:322
CSG_Regression_Weighted::Get_Log_Epsilon
double Get_Log_Epsilon(void) const
Definition: mat_tools.h:1823
CSG_Regression
Definition: mat_tools.h:1610
CSG_Spline::Get_Count
int Get_Count(void) const
Definition: mat_tools.h:1436
CSG_Index::Get_Count
sLong Get_Count(void) const
Definition: mat_tools.h:239
SG_Decimal_To_Degree
SAGA_API_DLL_EXPORT void SG_Decimal_To_Degree(double Value, double &Deg, double &Min, double &Sec)
Definition: mat_tools.cpp:233
CSG_Trend::Get_Data_XStats
CSG_Simple_Statistics & Get_Data_XStats(void)
Definition: mat_tools.h:2005
CSG_Histogram::Get_Element_Maximum
size_t Get_Element_Maximum(void) const
Definition: mat_tools.h:1046
CSG_Matrix
Definition: mat_tools.h:478
CSG_Grids
Definition: grids.h:119
CSG_Thin_Plate_Spline::Set_Point
bool Set_Point(int Index, const TSG_Point &p, double z)
Definition: mat_tools.h:1488
CSG_Category_Statistics::Get_Category
bool Get_Category(int iCategory, int &Value, int &Count) const
Definition: mat_tools.h:955
CSG_Index::CSG_Index_Compare::~CSG_Index_Compare
virtual ~CSG_Index_Compare(void)
Definition: mat_tools.h:206
REGRESSION_Exp
@ REGRESSION_Exp
Definition: mat_tools.h:1603
CSG_Trend::Get_Max_Iterations
int Get_Max_Iterations(void) const
Definition: mat_tools.h:2012
REGRESSION_CORR_Smith
@ REGRESSION_CORR_Smith
Definition: mat_tools.h:1579
SG_VectorR3_Rotate
SAGA_API_DLL_EXPORT bool SG_VectorR3_Rotate(double Vector[3], size_t Axis, double Angle)
Definition: mat_matrix.cpp:776
CSG_Histogram::Get_Elements
size_t Get_Elements(int i) const
Definition: mat_tools.h:1048
CSG_Simple_Statistics
Definition: mat_tools.h:723
CSG_Simple_Statistics::m_Values
CSG_Array m_Values
Definition: mat_tools.h:794
CSG_Index::CSG_Index_Compare::CSG_Index_Compare
CSG_Index_Compare(void)
Definition: mat_tools.h:205
CSG_Trend::Get_ChiSquare
double Get_ChiSquare(void) const
Definition: mat_tools.h:2025
REGRESSION_CORR_None
@ REGRESSION_CORR_None
Definition: mat_tools.h:1578
CSG_Classifier_Supervised
Definition: mat_tools.h:1232
CSG_Histogram::Get_Value
double Get_Value(double i) const
Definition: mat_tools.h:1054
ESG_Cluster_Analysis_Method
ESG_Cluster_Analysis_Method
Definition: mat_tools.h:1152
CSG_Matrix::Get_NY
int Get_NY(void) const
Definition: mat_tools.h:521
CSG_Unique_String_Statistics::CSG_Unique_String_Statistics
CSG_Unique_String_Statistics(bool bWeights=false)
Definition: mat_tools.h:884
CSG_Regression_Multiple::Get_Info_Regression
class CSG_Table * Get_Info_Regression(void) const
Definition: mat_tools.h:1728
geo_tools.h
CSG_Regression::Get_yMax
double Get_yMax(void) const
Definition: mat_tools.h:1644
CSG_Vector::Get_Row_Count
sLong Get_Row_Count(void) const
Definition: mat_tools.h:379
CSG_Histogram::Get_Statistics
const CSG_Simple_Statistics & Get_Statistics(void) const
Definition: mat_tools.h:1076
CSG_Spline::m_z
CSG_Vector m_z
Definition: mat_tools.h:1450
CSG_Regression::Get_yMean
double Get_yMean(void) const
Definition: mat_tools.h:1645
CSG_Simple_Statistics::m_Weights
double m_Weights
Definition: mat_tools.h:792
CSG_Thin_Plate_Spline::Add_Point
bool Add_Point(double x, double y, double z)
Definition: mat_tools.h:1471
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int Get_NX(void) const
Definition: mat_tools.h:520
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Definition: mat_tools.h:1492
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Definition: mat_tools.h:786
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Definition: mat_tools.h:1703
CSG_Regression_Weighted::Get_Sample_Count
int Get_Sample_Count(void) const
Definition: mat_tools.h:1810
CSG_Vector::const_iterator
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Definition: mat_tools.h:444
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Definition: mat_tools.h:2102
CSG_Regression::Get_xValue
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Definition: mat_tools.h:1622
operator+
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Definition: api_string.cpp:473