don't index Eigen

1 files changed, 0 insertions, 62 deletions

diff --git a/eigen/lapack/eigenvalues.cpp b/eigen/lapack/eigenvalues.cpp
deleted file mode 100644
index 921c515..0000000
--- a/eigen/lapack/eigenvalues.cpp
+++ /dev/null
@@ -1,62 +0,0 @@
-// 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 "lapack_common.h"
-#include <Eigen/Eigenvalues>
-
-// computes eigen values and vectors of a general N-by-N matrix A
-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 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)
-  {
-    make_vector(w,*n).setZero();
-    if(computeVectors)
-      matrix(a,*n,*n,*lda).setIdentity();
-    //*info = 1;
-    return 0;
-  }
-  
-  make_vector(w,*n) = eig.eigenvalues();
-  if(computeVectors)
-    matrix(a,*n,*n,*lda) = eig.eigenvectors();
-  
-  return 0;
-}