1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//=====================================================
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// File   :  STL_interface.hh
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Author :  L. Plagne <laurent.plagne@edf.fr)>
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) EDF R&D,  lun sep 30 14:23:24 CEST 2002
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//=====================================================
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This program is free software; you can redistribute it and/or
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// modify it under the terms of the GNU General Public License
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// as published by the Free Software Foundation; either version 2
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// of the License, or (at your option) any later version.
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This program is distributed in the hope that it will be useful,
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// but WITHOUT ANY WARRANTY; without even the implied warranty of
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// GNU General Public License for more details.
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// You should have received a copy of the GNU General Public License
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// along with this program; if not, write to the Free Software
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifndef STL_INTERFACE_HH
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define STL_INTERFACE_HH
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <string>
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <vector>
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "utilities.h"
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathusing namespace std;
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<class real>
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass STL_interface{
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathpublic :
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef real real_type ;
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef std::vector<real>  stl_vector;
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef std::vector<stl_vector > stl_matrix;
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef stl_matrix gene_matrix;
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef stl_vector gene_vector;
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline std::string name( void )
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    return "STL";
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static void free_matrix(gene_matrix & A, int N){}
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static void free_vector(gene_vector & B){}
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    A = A_stl;
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    B = B_stl;
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    B_stl = B ;
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    A_stl = A ;
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void copy_vector(const gene_vector & source, gene_vector & cible, int N){
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0;i<N;i++){
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      cible[i]=source[i];
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0;i<N;i++)
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int j=0;j<N;j++)
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        cible[i][j]=source[i][j];
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//   static inline void ata_product(const gene_matrix & A, gene_matrix & X, int N)
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//   {
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//     real somme;
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//     for (int j=0;j<N;j++){
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//       for (int i=0;i<N;i++){
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//         somme=0.0;
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//         for (int k=0;k<N;k++)
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//           somme += A[i][k]*A[j][k];
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//         X[j][i]=somme;
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//       }
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//     }
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//   }
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void aat_product(const gene_matrix & A, gene_matrix & X, int N)
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    real somme;
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int j=0;j<N;j++){
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int i=0;i<N;i++){
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        somme=0.0;
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        if(i>=j)
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        {
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          for (int k=0;k<N;k++){
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            somme+=A[k][i]*A[k][j];
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          }
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          X[j][i]=somme;
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N)
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    real somme;
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int j=0;j<N;j++){
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int i=0;i<N;i++){
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        somme=0.0;
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for (int k=0;k<N;k++)
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          somme+=A[k][i]*B[j][k];
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        X[j][i]=somme;
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N)
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    real somme;
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0;i<N;i++){
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      somme=0.0;
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int j=0;j<N;j++)
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        somme+=A[j][i]*B[j];
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      X[i]=somme;
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void symv(gene_matrix & A, gene_vector & B, gene_vector & X, int N)
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int j=0; j<N; ++j)
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      X[j] = 0;
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int j=0; j<N; ++j)
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      real t1 = B[j];
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      real t2 = 0;
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      X[j] += t1 * A[j][j];
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int i=j+1; i<N; ++i) {
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        X[i] += t1 * A[j][i];
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        t2 += A[j][i] * B[i];
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      X[j] += t2;
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void syr2(gene_matrix & A, gene_vector & B, gene_vector & X, int N)
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int j=0; j<N; ++j)
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int i=j; i<N; ++i)
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        A[j][i] += B[i]*X[j] + B[j]*X[i];
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void ger(gene_matrix & A, gene_vector & X, gene_vector & Y, int N)
163c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int j=0; j<N; ++j)
165c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int i=j; i<N; ++i)
167c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        A[j][i] += X[i]*Y[j];
168c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
169c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
170c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
171c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N)
172c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
173c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    real somme;
174c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0;i<N;i++){
175c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      somme = 0.0;
176c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int j=0;j<N;j++)
177c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        somme += A[i][j]*B[j];
178c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      X[i] = somme;
179c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
180c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
181c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
182c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void axpy(real coef, const gene_vector & X, gene_vector & Y, int N){
183c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0;i<N;i++)
184c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Y[i]+=coef*X[i];
185c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
186c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
187c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){
188c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0;i<N;i++)
189c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Y[i] = a*X[i] + b*Y[i];
190c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
191c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
192c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void trisolve_lower(const gene_matrix & L, const gene_vector & B, gene_vector & X, int N){
193c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    copy_vector(B,X,N);
194c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for(int i=0; i<N; ++i)
195c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
196c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      X[i] /= L[i][i];
197c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      real tmp = X[i];
198c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int j=i+1; j<N; ++j)
199c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        X[j] -= tmp * L[i][j];
200c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
201c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
202c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
203c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline real norm_diff(const stl_vector & A, const stl_vector & B)
204c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
205c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    int N=A.size();
206c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    real somme=0.0;
207c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    real somme2=0.0;
208c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
209c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0;i<N;i++){
210c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      real diff=A[i]-B[i];
211c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      somme+=diff*diff;
212c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      somme2+=A[i]*A[i];
213c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
214c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    return somme/somme2;
215c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
216c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
217c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline real norm_diff(const stl_matrix & A, const stl_matrix & B)
218c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
219c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    int N=A[0].size();
220c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    real somme=0.0;
221c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    real somme2=0.0;
222c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
223c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0;i<N;i++){
224c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int j=0;j<N;j++){
225c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        real diff=A[i][j] - B[i][j];
226c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        somme += diff*diff;
227c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        somme2 += A[i][j]*A[i][j];
228c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
229c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
230c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
231c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    return somme/somme2;
232c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
233c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
234c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline void display_vector(const stl_vector & A)
235c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
236c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    int N=A.size();
237c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0;i<N;i++){
238c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      INFOS("A["<<i<<"]="<<A[i]<<endl);
239c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
240c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
241c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
242c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
243c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
244c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif
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