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							79 lines
						
					
					
						
							2.2 KiB
						
					
					
				| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2011 Gael Guennebaud <gael.guennebaud@inria.fr> | |
| // | |
| // This Source Code Form is subject to the terms of the Mozilla | |
| // Public License v. 2.0. If a copy of the MPL was not distributed | |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | |
|  | |
| #include "common.h" | |
| #include <Eigen/Eigenvalues> | |
|  | |
| // computes an LU factorization of a general M-by-N matrix A using partial pivoting with row interchanges | |
| EIGEN_LAPACK_FUNC(syev,(char *jobz, char *uplo, int* n, Scalar* a, int *lda, Scalar* w, Scalar* /*work*/, int* lwork, int *info)) | |
| { | |
|   // TODO exploit the work buffer | |
|   bool query_size = *lwork==-1; | |
|    | |
|   *info = 0; | |
|         if(*jobz!='N' && *jobz!='V')                    *info = -1; | |
|   else  if(UPLO(*uplo)==INVALID)                        *info = -2; | |
|   else  if(*n<0)                                        *info = -3; | |
|   else  if(*lda<std::max(1,*n))                         *info = -5; | |
|   else  if((!query_size) && *lwork<std::max(1,3**n-1))  *info = -8; | |
|    | |
| //   if(*info==0) | |
| //   { | |
| //     int nb = ILAENV( 1, 'SSYTRD', UPLO, N, -1, -1, -1 ) | |
| //          LWKOPT = MAX( 1, ( NB+2 )*N ) | |
| //          WORK( 1 ) = LWKOPT | |
| // * | |
| //          IF( LWORK.LT.MAX( 1, 3*N-1 ) .AND. .NOT.LQUERY ) | |
| //      $      INFO = -8 | |
| //       END IF | |
| // * | |
| //       IF( INFO.NE.0 ) THEN | |
| //          CALL XERBLA( 'SSYEV ', -INFO ) | |
| //          RETURN | |
| //       ELSE IF( LQUERY ) THEN | |
| //          RETURN | |
| //       END IF | |
|    | |
|   if(*info!=0) | |
|   { | |
|     int e = -*info; | |
|     return xerbla_(SCALAR_SUFFIX_UP"SYEV ", &e, 6); | |
|   } | |
|    | |
|   if(query_size) | |
|   { | |
|     *lwork = 0; | |
|     return 0; | |
|   } | |
|    | |
|   if(*n==0) | |
|     return 0; | |
|    | |
|   PlainMatrixType mat(*n,*n); | |
|   if(UPLO(*uplo)==UP) mat = matrix(a,*n,*n,*lda).adjoint(); | |
|   else                mat = matrix(a,*n,*n,*lda); | |
|    | |
|   bool computeVectors = *jobz=='V' || *jobz=='v'; | |
|   SelfAdjointEigenSolver<PlainMatrixType> eig(mat,computeVectors?ComputeEigenvectors:EigenvaluesOnly); | |
|    | |
|   if(eig.info()==NoConvergence) | |
|   { | |
|     vector(w,*n).setZero(); | |
|     if(computeVectors) | |
|       matrix(a,*n,*n,*lda).setIdentity(); | |
|     //*info = 1; | |
|     return 0; | |
|   } | |
|    | |
|   vector(w,*n) = eig.eigenvalues(); | |
|   if(computeVectors) | |
|     matrix(a,*n,*n,*lda) = eig.eigenvectors(); | |
|    | |
|   return 0; | |
| }
 |