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Refactor matrix_function test in preparation of next commit.

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This commit is contained in:
Jitse Niesen 2010-02-13 22:38:27 +00:00
parent 9251cfed9b
commit a4a2671fd0
1 changed files with 22 additions and 21 deletions
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43
unsupported/test/matrix_function.cpp
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@ -25,28 +25,19 @@
#include "main.h"
#include <unsupported/Eigen/MatrixFunctions>
// Returns either a matrix with iid random entries or a matrix with
// clustered eigenvalues. Matrices with clustered eigenvalue clusters
// lead to different code paths in MatrixFunction.h and are thus
// useful for testing.
// Returns a matrix with eigenvalues clustered around 0, 1 and 2.
template<typename MatrixType>
MatrixType createRandomMatrix(const int size)
MatrixType randomMatrixWithRealEivals(const int size)
{
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
MatrixType result;
if (ei_random<int>(0,1) == 0) {
result = MatrixType::Random(size, size);
} else {
MatrixType diag = MatrixType::Zero(size, size);
for (int i = 0; i < size; ++i) {
diag(i, i) = Scalar(RealScalar(ei_random<int>(0,2)))
+ ei_random<Scalar>() * Scalar(RealScalar(0.01));
}
MatrixType A = MatrixType::Random(size, size);
result = A.inverse() * diag * A;
MatrixType diag = MatrixType::Zero(size, size);
for (int i = 0; i < size; ++i) {
diag(i, i) = Scalar(RealScalar(ei_random<int>(0,2)))
+ ei_random<Scalar>() * Scalar(RealScalar(0.01));
}
return result;
MatrixType A = MatrixType::Random(size, size);
return A.inverse() * diag * A;
}
template<typename MatrixType>
@ -108,14 +99,24 @@ void testGonioFunctions(const MatrixType& A)
}
}
template<typename MatrixType>
void testMatrix(const MatrixType& A)
{
testMatrixExponential(A);
testHyperbolicFunctions(A);
testGonioFunctions(A);
}
template<typename MatrixType>
void testMatrixType(const MatrixType& m)
{
// Matrices with clustered eigenvalue lead to different code paths
// in MatrixFunction.h and are thus useful for testing.
const int size = m.rows();
for (int i = 0; i < g_repeat; i++) {
MatrixType A = createRandomMatrix<MatrixType>(m.rows());
testMatrixExponential(A);
testHyperbolicFunctions(A);
testGonioFunctions(A);
testMatrix(MatrixType::Random(size, size).eval());
testMatrix(randomMatrixWithRealEivals<MatrixType>(size));
}
}