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Add info() method which can be queried to check whether iteration converged.

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This commit is contained in:
Jitse Niesen
2010-06-03 22:59:57 +01:00
parent ed73a195e0
commit 9178e2bd54
11 changed files with 224 additions and 57 deletions
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14
test/eigensolver_selfadjoint.cpp
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@@ -2,6 +2,7 @@
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
// Copyright (C) 2010 Jitse Niesen <jitse@maths.leeds.ac.uk>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
@@ -23,6 +24,7 @@
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#include "main.h"
#include <limits>
#include <Eigen/Eigenvalues>
#ifdef HAS_GSL
@@ -101,14 +103,17 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
}
#endif
VERIFY_IS_EQUAL(eiSymm.info(), Success);
VERIFY((symmA * eiSymm.eigenvectors()).isApprox(
eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal(), largerEps));
VERIFY_IS_APPROX(symmA.template selfadjointView<Lower>().eigenvalues(), eiSymm.eigenvalues());
SelfAdjointEigenSolver<MatrixType> eiSymmNoEivecs(symmA, false);
VERIFY_IS_EQUAL(eiSymmNoEivecs.info(), Success);
VERIFY_IS_APPROX(eiSymm.eigenvalues(), eiSymmNoEivecs.eigenvalues());
// generalized eigen problem Ax = lBx
VERIFY_IS_EQUAL(eiSymmGen.info(), Success);
VERIFY((symmA * eiSymmGen.eigenvectors()).isApprox(
symmB * (eiSymmGen.eigenvectors() * eiSymmGen.eigenvalues().asDiagonal()), largerEps));
@@ -120,6 +125,7 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
VERIFY_IS_APPROX(id.template selfadjointView<Lower>().operatorNorm(), RealScalar(1));
SelfAdjointEigenSolver<MatrixType> eiSymmUninitialized;
VERIFY_RAISES_ASSERT(eiSymmUninitialized.info());
VERIFY_RAISES_ASSERT(eiSymmUninitialized.eigenvalues());
VERIFY_RAISES_ASSERT(eiSymmUninitialized.eigenvectors());
VERIFY_RAISES_ASSERT(eiSymmUninitialized.operatorSqrt());
@@ -129,6 +135,14 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
VERIFY_RAISES_ASSERT(eiSymmUninitialized.eigenvectors());
VERIFY_RAISES_ASSERT(eiSymmUninitialized.operatorSqrt());
VERIFY_RAISES_ASSERT(eiSymmUninitialized.operatorInverseSqrt());
if (rows > 1)
{
// Test matrix with NaN
symmA(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN();
SelfAdjointEigenSolver<MatrixType> eiSymmNaN(symmA);
VERIFY_IS_EQUAL(eiSymmNaN.info(), NoConvergence);
}
}
void test_eigensolver_selfadjoint()