1 files changed, 0 insertions, 198 deletions
diff --git a/unsupported/test/jacobisvd.cpp b/unsupported/test/jacobisvd.cpp
deleted file mode 100644
index b4e884eee..000000000
--- a/unsupported/test/jacobisvd.cpp
+++ /dev/null
@@ -1,198 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
-//
-// 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 "svd_common.h"
-
-template<typename MatrixType, int QRPreconditioner>
-void jacobisvd_check_full(const MatrixType& m, const JacobiSVD<MatrixType, QRPreconditioner>& svd)
-{
-  svd_check_full<MatrixType, JacobiSVD<MatrixType, QRPreconditioner > >(m, svd);
-}
-
-template<typename MatrixType, int QRPreconditioner>
-void jacobisvd_compare_to_full(const MatrixType& m,
-                               unsigned int computationOptions,
-                               const JacobiSVD<MatrixType, QRPreconditioner>& referenceSvd)
-{
-  svd_compare_to_full<MatrixType, JacobiSVD<MatrixType, QRPreconditioner> >(m, computationOptions, referenceSvd);
-}
-
-
-template<typename MatrixType, int QRPreconditioner>
-void jacobisvd_solve(const MatrixType& m, unsigned int computationOptions)
-{
-  svd_solve< MatrixType, JacobiSVD< MatrixType, QRPreconditioner > >(m, computationOptions);
-}
-
-
-
-template<typename MatrixType, int QRPreconditioner>
-void jacobisvd_test_all_computation_options(const MatrixType& m)
-{
-  
-  if (QRPreconditioner == NoQRPreconditioner && m.rows() != m.cols())
-    return;
-
-  JacobiSVD< MatrixType, QRPreconditioner > fullSvd(m, ComputeFullU|ComputeFullV);
-  svd_test_computation_options_1< MatrixType, JacobiSVD< MatrixType, QRPreconditioner > >(m, fullSvd);
-
-  if(QRPreconditioner == FullPivHouseholderQRPreconditioner)
-    return;
-  svd_test_computation_options_2< MatrixType, JacobiSVD< MatrixType, QRPreconditioner > >(m, fullSvd);
-
-}
-
-template<typename MatrixType>
-void jacobisvd(const MatrixType& a = MatrixType(), bool pickrandom = true)
-{
-  MatrixType m = pickrandom ? MatrixType::Random(a.rows(), a.cols()) : a;
-
-  jacobisvd_test_all_computation_options<MatrixType, FullPivHouseholderQRPreconditioner>(m);
-  jacobisvd_test_all_computation_options<MatrixType, ColPivHouseholderQRPreconditioner>(m);
-  jacobisvd_test_all_computation_options<MatrixType, HouseholderQRPreconditioner>(m);
-  jacobisvd_test_all_computation_options<MatrixType, NoQRPreconditioner>(m);
-}
-
-
-template<typename MatrixType> 
-void jacobisvd_verify_assert(const MatrixType& m)
-{
-  
-  svd_verify_assert<MatrixType, JacobiSVD< MatrixType > >(m);
-
-  typedef typename MatrixType::Index Index;
-  Index rows = m.rows();
-  Index cols = m.cols();
-
-  enum {
-    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
-    ColsAtCompileTime = MatrixType::ColsAtCompileTime
-  };
-
-  MatrixType a = MatrixType::Zero(rows, cols);
-  a.setZero();
-
-  if (ColsAtCompileTime == Dynamic)
-  {
-    JacobiSVD<MatrixType, FullPivHouseholderQRPreconditioner> svd_fullqr;
-    VERIFY_RAISES_ASSERT(svd_fullqr.compute(a, ComputeFullU|ComputeThinV))
-    VERIFY_RAISES_ASSERT(svd_fullqr.compute(a, ComputeThinU|ComputeThinV))
-    VERIFY_RAISES_ASSERT(svd_fullqr.compute(a, ComputeThinU|ComputeFullV))
-  }
-}
-
-template<typename MatrixType>
-void jacobisvd_method()
-{
-  enum { Size = MatrixType::RowsAtCompileTime };
-  typedef typename MatrixType::RealScalar RealScalar;
-  typedef Matrix<RealScalar, Size, 1> RealVecType;
-  MatrixType m = MatrixType::Identity();
-  VERIFY_IS_APPROX(m.jacobiSvd().singularValues(), RealVecType::Ones());
-  VERIFY_RAISES_ASSERT(m.jacobiSvd().matrixU());
-  VERIFY_RAISES_ASSERT(m.jacobiSvd().matrixV());
-  VERIFY_IS_APPROX(m.jacobiSvd(ComputeFullU|ComputeFullV).solve(m), m);
-}
-
-
-
-template<typename MatrixType>
-void jacobisvd_inf_nan()
-{
-  svd_inf_nan<MatrixType, JacobiSVD< MatrixType > >();
-}
-
-
-// Regression test for bug 286: JacobiSVD loops indefinitely with some
-// matrices containing denormal numbers.
-void jacobisvd_bug286()
-{
-#if defined __INTEL_COMPILER
-// shut up warning #239: floating point underflow
-#pragma warning push
-#pragma warning disable 239
-#endif
-  Matrix2d M;
-  M << -7.90884e-313, -4.94e-324,
-                 0, 5.60844e-313;
-#if defined __INTEL_COMPILER
-#pragma warning pop
-#endif
-  JacobiSVD<Matrix2d> svd;
-  svd.compute(M); // just check we don't loop indefinitely
-}
-
-
-void jacobisvd_preallocate()
-{
-  svd_preallocate< JacobiSVD <MatrixXf> >();
-}
-
-void test_jacobisvd()
-{
-  CALL_SUBTEST_11(( jacobisvd<Matrix<double,Dynamic,Dynamic> >
-		    (Matrix<double,Dynamic,Dynamic>(16, 6)) ));
-
-  CALL_SUBTEST_3(( jacobisvd_verify_assert(Matrix3f()) ));
-  CALL_SUBTEST_4(( jacobisvd_verify_assert(Matrix4d()) ));
-  CALL_SUBTEST_7(( jacobisvd_verify_assert(MatrixXf(10,12)) ));
-  CALL_SUBTEST_8(( jacobisvd_verify_assert(MatrixXcd(7,5)) ));
-
-  for(int i = 0; i < g_repeat; i++) {
-    Matrix2cd m;
-    m << 0, 1,
-         0, 1;
-    CALL_SUBTEST_1(( jacobisvd(m, false) ));
-    m << 1, 0,
-         1, 0;
-    CALL_SUBTEST_1(( jacobisvd(m, false) ));
-
-    Matrix2d n;
-    n << 0, 0,
-         0, 0;
-    CALL_SUBTEST_2(( jacobisvd(n, false) ));
-    n << 0, 0,
-         0, 1;
-    CALL_SUBTEST_2(( jacobisvd(n, false) ));
-    
-    CALL_SUBTEST_3(( jacobisvd<Matrix3f>() ));
-    CALL_SUBTEST_4(( jacobisvd<Matrix4d>() ));
-    CALL_SUBTEST_5(( jacobisvd<Matrix<float,3,5> >() ));
-    CALL_SUBTEST_6(( jacobisvd<Matrix<double,Dynamic,2> >(Matrix<double,Dynamic,2>(10,2)) ));
-
-    int r = internal::random<int>(1, 30),
-        c = internal::random<int>(1, 30);
-    CALL_SUBTEST_7(( jacobisvd<MatrixXf>(MatrixXf(r,c)) ));
-    CALL_SUBTEST_8(( jacobisvd<MatrixXcd>(MatrixXcd(r,c)) ));
-    (void) r;
-    (void) c;
-
-    // Test on inf/nan matrix
-    CALL_SUBTEST_7( jacobisvd_inf_nan<MatrixXf>() );
-  }
-
-  CALL_SUBTEST_7(( jacobisvd<MatrixXf>(MatrixXf(internal::random<int>(EIGEN_TEST_MAX_SIZE/4, EIGEN_TEST_MAX_SIZE/2), internal::random<int>(EIGEN_TEST_MAX_SIZE/4, EIGEN_TEST_MAX_SIZE/2))) ));
-  CALL_SUBTEST_8(( jacobisvd<MatrixXcd>(MatrixXcd(internal::random<int>(EIGEN_TEST_MAX_SIZE/4, EIGEN_TEST_MAX_SIZE/3), internal::random<int>(EIGEN_TEST_MAX_SIZE/4, EIGEN_TEST_MAX_SIZE/3))) ));
-
-
-  // test matrixbase method
-  CALL_SUBTEST_1(( jacobisvd_method<Matrix2cd>() ));
-  CALL_SUBTEST_3(( jacobisvd_method<Matrix3f>() ));
-
-
-  // Test problem size constructors
-  CALL_SUBTEST_7( JacobiSVD<MatrixXf>(10,10) );
-
-  // Check that preallocation avoids subsequent mallocs
-  CALL_SUBTEST_9( jacobisvd_preallocate() );
-
-  // Regression check for bug 286
-  CALL_SUBTEST_2( jacobisvd_bug286() );
-}