73 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			73 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| // This file is part of Eigen, a lightweight C++ template library
 | |
| // for linear algebra.
 | |
| //
 | |
| // Copyright (C) 2010-2011 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 "lapack_common.h"
 | |
| #include <Eigen/Cholesky>
 | |
| 
 | |
| // POTRF computes the Cholesky factorization of a real symmetric positive definite matrix A.
 | |
| EIGEN_LAPACK_FUNC(potrf,(char* uplo, int *n, RealScalar *pa, int *lda, int *info))
 | |
| {
 | |
|   *info = 0;
 | |
|         if(UPLO(*uplo)==INVALID) *info = -1;
 | |
|   else  if(*n<0)                 *info = -2;
 | |
|   else  if(*lda<std::max(1,*n))  *info = -4;
 | |
|   if(*info!=0)
 | |
|   {
 | |
|     int e = -*info;
 | |
|     return xerbla_(SCALAR_SUFFIX_UP"POTRF", &e, 6);
 | |
|   }
 | |
| 
 | |
|   Scalar* a = reinterpret_cast<Scalar*>(pa);
 | |
|   MatrixType A(a,*n,*n,*lda);
 | |
|   int ret;
 | |
|   if(UPLO(*uplo)==UP) ret = int(internal::llt_inplace<Scalar, Upper>::blocked(A));
 | |
|   else                ret = int(internal::llt_inplace<Scalar, Lower>::blocked(A));
 | |
| 
 | |
|   if(ret>=0)
 | |
|     *info = ret+1;
 | |
|   
 | |
|   return 0;
 | |
| }
 | |
| 
 | |
| // POTRS solves a system of linear equations A*X = B with a symmetric
 | |
| // positive definite matrix A using the Cholesky factorization
 | |
| // A = U**T*U or A = L*L**T computed by DPOTRF.
 | |
| EIGEN_LAPACK_FUNC(potrs,(char* uplo, int *n, int *nrhs, RealScalar *pa, int *lda, RealScalar *pb, int *ldb, int *info))
 | |
| {
 | |
|   *info = 0;
 | |
|         if(UPLO(*uplo)==INVALID) *info = -1;
 | |
|   else  if(*n<0)                 *info = -2;
 | |
|   else  if(*nrhs<0)              *info = -3;
 | |
|   else  if(*lda<std::max(1,*n))  *info = -5;
 | |
|   else  if(*ldb<std::max(1,*n))  *info = -7;
 | |
|   if(*info!=0)
 | |
|   {
 | |
|     int e = -*info;
 | |
|     return xerbla_(SCALAR_SUFFIX_UP"POTRS", &e, 6);
 | |
|   }
 | |
| 
 | |
|   Scalar* a = reinterpret_cast<Scalar*>(pa);
 | |
|   Scalar* b = reinterpret_cast<Scalar*>(pb);
 | |
|   MatrixType A(a,*n,*n,*lda);
 | |
|   MatrixType B(b,*n,*nrhs,*ldb);
 | |
| 
 | |
|   if(UPLO(*uplo)==UP)
 | |
|   {
 | |
|     A.triangularView<Upper>().adjoint().solveInPlace(B);
 | |
|     A.triangularView<Upper>().solveInPlace(B);
 | |
|   }
 | |
|   else
 | |
|   {
 | |
|     A.triangularView<Lower>().solveInPlace(B);
 | |
|     A.triangularView<Lower>().adjoint().solveInPlace(B);
 | |
|   }
 | |
| 
 | |
|   return 0;
 | |
| }
 | 
