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authorGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2012-07-28 21:30:09 +0100
committerGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2012-07-28 21:30:09 +0100
commit696b2f999f1fde11ad5dc49282e7450c693ba6db (patch)
tree6f2532ac3cfbcbd2839ea3cbf964ec90af3e8ddd /test
parent6f54269829ce3bd13ea2f7a2e5d6d03b261c1cff (diff)
Eigenvalues module: Implement setMaxIterations() methods.
Diffstat (limited to 'test')
-rw-r--r--test/eigensolver_complex.cpp5
-rw-r--r--test/eigensolver_generic.cpp5
-rw-r--r--test/schur_complex.cpp7
-rw-r--r--test/schur_real.cpp7
4 files changed, 14 insertions, 10 deletions
diff --git a/test/eigensolver_complex.cpp b/test/eigensolver_complex.cpp
index a569d8507..aef125739 100644
--- a/test/eigensolver_complex.cpp
+++ b/test/eigensolver_complex.cpp
@@ -60,13 +60,14 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
verify_is_approx_upto_permutation(a.eigenvalues(), ei1.eigenvalues());
ComplexEigenSolver<MatrixType> ei2;
- ei2.compute(a, true, ComplexSchur<MatrixType>::m_maxIterations * rows);
+ ei2.setMaxIterations(ComplexSchur<MatrixType>::m_maxIterationsPerRow * rows).compute(a);
VERIFY_IS_EQUAL(ei2.info(), Success);
VERIFY_IS_EQUAL(ei2.eigenvectors(), ei1.eigenvectors());
VERIFY_IS_EQUAL(ei2.eigenvalues(), ei1.eigenvalues());
if (rows > 2) {
- ei2.compute(a, true, 1);
+ ei2.setMaxIterations(1).compute(a);
VERIFY_IS_EQUAL(ei2.info(), NoConvergence);
+ VERIFY_IS_EQUAL(ei2.getMaxIterations(), 1);
}
ComplexEigenSolver<MatrixType> eiNoEivecs(a, false);
diff --git a/test/eigensolver_generic.cpp b/test/eigensolver_generic.cpp
index 1b83afbc4..ef499a989 100644
--- a/test/eigensolver_generic.cpp
+++ b/test/eigensolver_generic.cpp
@@ -46,13 +46,14 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
VERIFY_IS_APPROX(a.eigenvalues(), ei1.eigenvalues());
EigenSolver<MatrixType> ei2;
- ei2.compute(a, true, RealSchur<MatrixType>::m_maxIterations * rows);
+ ei2.setMaxIterations(RealSchur<MatrixType>::m_maxIterationsPerRow * rows).compute(a);
VERIFY_IS_EQUAL(ei2.info(), Success);
VERIFY_IS_EQUAL(ei2.eigenvectors(), ei1.eigenvectors());
VERIFY_IS_EQUAL(ei2.eigenvalues(), ei1.eigenvalues());
if (rows > 2) {
- ei2.compute(a, true, 1);
+ ei2.setMaxIterations(1).compute(a);
VERIFY_IS_EQUAL(ei2.info(), NoConvergence);
+ VERIFY_IS_EQUAL(ei2.getMaxIterations(), 1);
}
EigenSolver<MatrixType> eiNoEivecs(a, false);
diff --git a/test/schur_complex.cpp b/test/schur_complex.cpp
index 4d5cbbfdf..5e869790f 100644
--- a/test/schur_complex.cpp
+++ b/test/schur_complex.cpp
@@ -49,16 +49,17 @@ template<typename MatrixType> void schur(int size = MatrixType::ColsAtCompileTim
// Test maximum number of iterations
ComplexSchur<MatrixType> cs3;
- cs3.compute(A, true, ComplexSchur<MatrixType>::m_maxIterations * size);
+ cs3.setMaxIterations(ComplexSchur<MatrixType>::m_maxIterationsPerRow * size).compute(A);
VERIFY_IS_EQUAL(cs3.info(), Success);
VERIFY_IS_EQUAL(cs3.matrixT(), cs1.matrixT());
VERIFY_IS_EQUAL(cs3.matrixU(), cs1.matrixU());
- cs3.compute(A, true, 1);
+ cs3.setMaxIterations(1).compute(A);
VERIFY_IS_EQUAL(cs3.info(), size > 1 ? NoConvergence : Success);
+ VERIFY_IS_EQUAL(cs3.getMaxIterations(), 1);
MatrixType Atriangular = A;
Atriangular.template triangularView<StrictlyLower>().setZero();
- cs3.compute(Atriangular, true, 1); // triangular matrices do not need any iterations
+ cs3.setMaxIterations(1).compute(Atriangular); // triangular matrices do not need any iterations
VERIFY_IS_EQUAL(cs3.info(), Success);
VERIFY_IS_EQUAL(cs3.matrixT(), Atriangular.template cast<ComplexScalar>());
VERIFY_IS_EQUAL(cs3.matrixU(), ComplexMatrixType::Identity(size, size));
diff --git a/test/schur_real.cpp b/test/schur_real.cpp
index e81a28d7d..36b9c24d1 100644
--- a/test/schur_real.cpp
+++ b/test/schur_real.cpp
@@ -68,18 +68,19 @@ template<typename MatrixType> void schur(int size = MatrixType::ColsAtCompileTim
// Test maximum number of iterations
RealSchur<MatrixType> rs3;
- rs3.compute(A, true, RealSchur<MatrixType>::m_maxIterations * size);
+ rs3.setMaxIterations(RealSchur<MatrixType>::m_maxIterationsPerRow * size).compute(A);
VERIFY_IS_EQUAL(rs3.info(), Success);
VERIFY_IS_EQUAL(rs3.matrixT(), rs1.matrixT());
VERIFY_IS_EQUAL(rs3.matrixU(), rs1.matrixU());
if (size > 2) {
- rs3.compute(A, true, 1);
+ rs3.setMaxIterations(1).compute(A);
VERIFY_IS_EQUAL(rs3.info(), NoConvergence);
+ VERIFY_IS_EQUAL(rs3.getMaxIterations(), 1);
}
MatrixType Atriangular = A;
Atriangular.template triangularView<StrictlyLower>().setZero();
- rs3.compute(Atriangular, true, 1); // triangular matrices do not need any iterations
+ rs3.setMaxIterations(1).compute(Atriangular); // triangular matrices do not need any iterations
VERIFY_IS_EQUAL(rs3.info(), Success);
VERIFY_IS_EQUAL(rs3.matrixT(), Atriangular);
VERIFY_IS_EQUAL(rs3.matrixU(), MatrixType::Identity(size, size));