//
// 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.
#ifdef HAVE_CONFIG_H
# include <config.h>
#endif
#include <iostream>
#include "lapack.h"
#include "lafnames.h"
#ifdef LA_COMPLEX_SUPPORT
# include LA_GEN_MAT_COMPLEX_H
# include LA_VECTOR_COMPLEX_H
#endif
#include LA_GEN_MAT_DOUBLE_H
#include LA_VECTOR_DOUBLE_H
#include LA_VECTOR_INT_H
#include LA_SPD_MAT_DOUBLE_H
#include LA_SYMM_MAT_DOUBLE_H
#include LA_EXCEPTION_H
#include LA_SOLVE_DOUBLE_H
#include LA_UTIL_H
void LaEigSolve(const LaSymmMatDouble &S, LaVectorDouble &eigvals)
{
//#ifndef HPPA
// const char fname[] = "LaEigSolve(LaSymmMatDouble &A, &eigvals)";
//#else
// char *fname = NULL; // HP C++ does not support string initalization!
//#endif
LaSymmMatDouble tmp(S);
LaEigSolveIP(tmp, eigvals);
}
void LaEigSolve(const LaSymmMatDouble &S, LaVectorDouble &eigvals,
LaGenMatDouble &eigvec)
{
//#ifndef HPPA
// const char fname[] = "LaEigSolve(LaSymmMatDouble &A, &eigvals, &eigvecs)";
//#else
// char *fname = NULL; // HP C++ does not support string initalization!
//#endif
// It is unclear whether this function implementation really is
// a good thing. Was introduced in revision 1.3 on 2004-09-08,
// see
// http://sourceforge.net/mailarchive/message.php?msg_id=9480567
long int N = S.size(0);
long int i,j;
for(j=0;j<N;j++){
for(i=j;i<N;i++){
eigvec(i,j)=S(i,j);
}
}
LaEigSolveSymmetricVecIP(eigvec, eigvals);
}
#ifdef LA_COMPLEX_SUPPORT
void LaEigSolve(const LaGenMatDouble &A, LaVectorComplex &eigvals, LaGenMatDouble &eigvec)
{
if(eigvals.size() != A.size(0))
throw LaException("LaEigSolve(LaGenMatDouble &, LaVectorComplex &, LaGenMatDouble &", "eigenvalue vectors must be same size as one dimension of input matrix");
LaVectorDouble eigvals_real(eigvals.size());
LaVectorDouble eigvals_imag(eigvals.size());
LaEigSolve(A,eigvals_real,eigvals_imag,eigvec);
//std::cout << "EigenVectors inside function\n" << eigvec << "\n";
for(int i=0; i < eigvals.size(); i++)
{
eigvals(i).r=eigvals_real(i);
eigvals(i).i=eigvals_imag(i);
}
}
#endif
void LaEigSolve(const LaGenMatDouble &A, LaVectorDouble &eigvals_real, LaVectorDouble &eigvals_imag, LaGenMatDouble &eigvec)
{
char jobvl = 'N';
char jobvr = 'V';
long int n = A.size(0);
long int lda = A.gdim(0);
long int ldvl = 1;
long int ldvr = n;
long int lwork = 4*n;
long int info = 0;
if (A.size(0) != A.size(1))
throw LaException("LaEigSolve(LaGenMatDouble &, LaVectorDouble &, LaVectorDouble &, LaGenMatDouble &", "Matrix must be square!");
if((eigvals_real.size() != n) || (eigvals_imag.size() != n))
throw LaException("LaEigSolve(LaGenMatDouble &, LaVectorDouble &, LaVectorDouble &, LaGenMatDouble &", "eigenvalue vectors must be same size as one dimension of input matrix");
LaGenMatDouble tmp;
tmp.copy(A);
LaVectorDouble work(lwork);
if (eigvec.size(0) != n || eigvec.size(1) != n)
eigvec.resize(n, n);
F77NAME(dgeev)(&jobvl, &jobvr, &n, &tmp(0,0), &lda, &eigvals_real(0), &eigvals_imag(0),
NULL, &ldvl, &eigvec(0,0), &ldvr, &work(0), &lwork, &info);
if (info != 0)
throw(LaException("LaEigSolve(LaGenMatDouble &, LaVectorDouble &, LaVectorDouble &, LaGenMatDouble &", "Internal error in LAPACK: SSYEV()"));
}
#ifdef LA_COMPLEX_SUPPORT
void LaEigSolve(const LaGenMatComplex &A, LaVectorComplex &W,
LaGenMatComplex &VR)
{
char jobvl = 'N';
char jobvr = 'V';
long int N = A.size(0);
long int lda = A.gdim(0);
if (A.size(0) != A.size(1))
throw LaException("LaEigSolve()", "Matrix must be square!");
if (W.size() != N)
throw LaException("LaEigSolve(LaGenMatDouble &, LaVectorDouble &, LaVectorDouble &, LaGenMatDouble &", "eigenvalue vectors must be same size as one dimension of input matrix");
long int ldvl = 1;
if (VR.size(0) < N || VR.size(1) < N)
VR.resize(N, N);
long int ldvr = VR.gdim(0);
long int lwork = 4*N;
LaVectorComplex work(lwork);
LaVectorDouble rwork(2*N);
long int info = 0;
LaGenMatComplex tmp;
tmp.copy(A);
F77NAME(zgeev)(&jobvl, &jobvr, &N, &tmp(0,0), &lda, &W(0),
NULL, &ldvl, &VR(0,0), &ldvr,
&work(0), &lwork, &rwork(0), &info);
if (info != 0)
throw(LaException("LaEigSolve()", "Internal error in LAPACK: ZGEEV()"));
}
#endif // LA_COMPLEX_SUPPORT
void LaEigSolveIP(LaSymmMatDouble &S, LaVectorDouble &eigvals)
{
#ifndef HPPA
const char fname[] = "LaEigSolveIP(LaGenMatDouble &A, &v)";
#else
char *fname = NULL; // HP C++ does not support string initalization!
#endif
long int N = S.size(0);
char jobz = 'N';
char uplo = 'L';
long int info = 0;
long int lda = S.gdim(0);
if (eigvals.size() < N)
{
throw(LaException(fname, "Not enough room to store eigenvalues"));
}
long int w = (LaEnvBlockSize("SSYTRD", S) +2) * N;
LaVectorDouble Work(w);
F77NAME(dsyev)(&jobz, &uplo, &N, S.addr(), &lda, &eigvals(0), &Work(0),
&w, &info);
if (info != 0)
throw(LaException(fname, "Internal error in LAPACK: SSYEV()"));
}
void LaEigSolveVecIP(LaGenMatDouble &A_symmetric, LaVectorDouble &eigvals)
{
LaEigSolveSymmetricVecIP(A_symmetric, eigvals);
}
void LaEigSolveSymmetricVecIP(LaGenMatDouble &A, LaVectorDouble &eigvals)
{
#ifndef HPPA
const char fname[] = "LaEigSolveSymmetricVecIP(LaGenMatDouble &A, &eigvals)";
#else
char *fname = NULL; // HP C++ does not support string initalization!
#endif
long int N = A.size(0);
char jobz = 'V';
char uplo = 'L';
long int info = 0;
long int lda = A.gdim(0);
if (eigvals.size() < N)
{
throw(LaException(fname, "Not enough room to store eigenvalues"));
}
long int w = (LaEnvBlockSize("SSYTRD", A) +2) * N;
LaVectorDouble Work(w);
F77NAME(dsyev)(&jobz, &uplo, &N, A.addr(), &lda, &eigvals(0), &Work(0),
&w, &info);
if (info != 0)
throw(LaException(fname, "Internal error in LAPACK: SSYEV()"));
}
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