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Extend sparse-determinant unitests

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This commit is contained in:
Gael Guennebaud 2015-02-16 19:09:48 +01:00
parent f0b1b1df9b
commit 9f49f00feb
1 changed files with 20 additions and 13 deletions
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33
test/sparse_solver.h
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@ -304,7 +304,7 @@ template<typename Solver> void check_sparse_spd_determinant(Solver& solver)
}
template<typename Solver, typename DenseMat>
int generate_sparse_square_problem(Solver&, typename Solver::MatrixType& A, DenseMat& dA, int maxSize = 300)
int generate_sparse_square_problem(Solver&, typename Solver::MatrixType& A, DenseMat& dA, int maxSize = 300, int options = ForceNonZeroDiag)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
@ -315,7 +315,7 @@ int generate_sparse_square_problem(Solver&, typename Solver::MatrixType& A, Dens
A.resize(size,size);
dA.resize(size,size);
initSparse<Scalar>(density, dA, A, ForceNonZeroDiag);
initSparse<Scalar>(density, dA, A, options);
return size;
}
@ -376,13 +376,20 @@ template<typename Solver> void check_sparse_square_determinant(Solver& solver)
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
// generate the problem
Mat A;
DenseMatrix dA;
generate_sparse_square_problem(solver, A, dA, 30);
A.makeCompressed();
for (int i = 0; i < g_repeat; i++) {
// generate the problem
Mat A;
DenseMatrix dA;
int size = internal::random<int>(1,30);
dA.setRandom(size,size);
dA = (dA.array().abs()<0.3).select(0,dA);
dA.diagonal() = (dA.diagonal().array()==0).select(1,dA.diagonal());
A = dA.sparseView();
A.makeCompressed();
check_sparse_determinant(solver, A, dA);
}
}
@ -393,12 +400,12 @@ template<typename Solver> void check_sparse_square_abs_determinant(Solver& solve
typedef typename Mat::Scalar Scalar;
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
// generate the problem
Mat A;
DenseMatrix dA;
generate_sparse_square_problem(solver, A, dA, 30);
A.makeCompressed();
for (int i = 0; i < g_repeat; i++) {
// generate the problem
Mat A;
DenseMatrix dA;
generate_sparse_square_problem(solver, A, dA, 30);
A.makeCompressed();
check_sparse_abs_determinant(solver, A, dA);
}
}