Files
rdkit/External/Lapack++/testing/tGenSolve.cpp
Greg Landrum 75a79b6327 initial import
2006-05-06 22:20:08 +00:00

167 lines
4.4 KiB
C++
Executable File

//
// LAPACK++ 1.1 Linear Algebra Package 1.1
// University of Tennessee, Knoxvilee, TN.
// Oak Ridge National Laboratory, Oak Ridge, TN.
// Authors: J. J. Dongarra, E. Greaser, R. Pozo, D. Walker
// (C) 1992-1996 All Rights Reserved
//
// NOTICE
//
// Permission to use, copy, modify, and distribute this software and
// its documentation for any purpose and without fee is hereby granted
// provided that the above copyright notice appear in all copies and
// that both the copyright notice and this permission notice appear in
// supporting documentation.
//
// Neither the Institutions (University of Tennessee, and Oak Ridge National
// Laboratory) nor the Authors make any representations about the suitability
// of this software for any purpose. This software is provided ``as is''
// without express or implied warranty.
//
// LAPACK++ was funded in part by the U.S. Department of Energy, the
// National Science Foundation and the State of Tennessee.
#if 0
#include "lapack++.h"
#endif
#if 1
#include "lafnames.h" /* macros for LAPACK++ filenames */
#include "lapack.h"
//#include LA_GEN_MAT_DOUBLE_H // changed of VC++
#include "gmd.h"
//#include LA_VECTOR_DOUBLE_H // changed of VC++
#include "lavd.h"
#include "blas++.h"
//#include LA_SOLVE_DOUBLE_H // changed of VC++
#include "laslv.h"
//#include LA_GENERATE_MAT_DOUBLE_H // changed of VC++
#include "genmd.h"
//#include LA_EXCEPTION_H // changed of VC++
#include "laexcp.h"
//#include LA_UTIL_H // changed of VC++
#include "lautil.h"
#endif
double residual(LaGenMatDouble &A, LaVectorDouble &x,
const LaVectorDouble& b)
{
int M = A.size(0);
int N = A.size(1);
std::cout << "\tNorm_Inf(A*x-b)" << Norm_Inf(A*x-b) << std::endl;
std::cout << "\tNorm_Inf(A) " << Norm_Inf(A) << std::endl;
std::cout << "\tNorm_Inf(x) " << Norm_Inf(x) << std::endl;
std::cout << "\tMacheps :" << Mach_eps_double() << std::endl;
if (M>N)
{
LaVectorDouble Axb = A*x-b;
LaVectorDouble R(M);
Blas_Mat_Trans_Vec_Mult(A, Axb, R);
return Norm_Inf(R) /
(Norm_Inf(A)* Norm_Inf(x) * N * Mach_eps_double());
}
else
{
return Norm_Inf(A*x-b ) /
( Norm_Inf(A)* Norm_Inf(x) * N * Mach_eps_double());
}
}
int TestGenLinearSolve(int M,int N)
{
LaGenMatDouble A(M,N);
LaVectorDouble x(N), b(M);
#ifndef HPPA
const char fname[] = "TestGenLinearSolve(LaGenMat, x, b) ";
#else
char *fname = NULL;
#endif
//char e = 'e';
double norm;
double res;
LaGenerateMatDouble(A);
// save a snapshot of what A looked like before the solution
LaGenMatDouble old_A = A;
b = 1.1;
std::cerr << fname << ": testing LaLinearSolve(Gen,...) M= "<< M
<< " N = " << N << std::endl;
LaLinearSolve(A, x, b);
if ( (norm = Norm_Inf( old_A - A)) > 0.0) // this is an exact test, not
// necessary to worry about
// round-off issues. We
// are testing to see A was
// overwritten.
{
std::cerr << fname << ": overwrote 1st arg.\n";
std::cerr << " error norm: " << norm << std::endl;
exit(1);
}
res = residual(A,x,b);
if (res > 1)
{
std::cerr << fname << "resdiual " << res << " is to too high.\n";
exit(1);
}
std::cerr << fname << ": LaLinearSolve() success.\n\n";
// now try the in-place solver
std::cerr << fname << ": testing LaLinearSolveIP(Gen,...) \n";
LaLinearSolveIP(A, x, b);
res = residual(old_A, x, b);
if (res > 1)
{
std::cerr << fname << "resdiual " << res << " is to too high.\n";
exit(1);
}
std::cerr << fname << ": LaLinearSolveIP() success.\n\n";
return 0;
}
int main(int argc, char **argv)
{
std::cout.precision(4);
std::cout.setf(std::ios::scientific, std::ios::floatfield);
if (argc < 2)
{
std::cerr << "Usage " << argv[0] << " N " << std::endl;
exit(1);
}
int N = atoi(argv[1]);
int M = N;
std::cout << "Testing " << N << " x " << N << " system." << std::endl;
TestGenLinearSolve(M,N);
return 0;
}