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authorGravatar Patrick Peltzer <peltzer@stce.rwth-aachen.de>2019-01-17 01:17:39 +0100
committerGravatar Patrick Peltzer <peltzer@stce.rwth-aachen.de>2019-01-17 01:17:39 +0100
commit15e53d5d93bd79fa415416d3f979975f0014a64d (patch)
treeccc062d964f707c9c1c250965490d87fbc145885 /test/solverbase.h
parent7f32109c11b9cbc3cedc72e59683bf5839d35d75 (diff)
PR 567: makes all dense solvers inherit SoverBase (LU,Cholesky,QR,SVD).
This changeset also includes: * add HouseholderSequence::conjugateIf * define int as the StorageIndex type for all dense solvers * dedicated unit tests, including assertion checking * _check_solve_assertion(): this method can be implemented in derived solver classes to implement custom checks * CompleteOrthogonalDecompositions: add applyZOnTheLeftInPlace, fix scalar type in applyZAdjointOnTheLeftInPlace(), add missing assertions * Cholesky: add missing assertions * FullPivHouseholderQR: Corrected Scalar type in _solve_impl() * BDCSVD: Unambiguous return type for ternary operator * SVDBase: Corrected Scalar type in _solve_impl()
Diffstat (limited to 'test/solverbase.h')
-rw-r--r--test/solverbase.h36
1 files changed, 36 insertions, 0 deletions
diff --git a/test/solverbase.h b/test/solverbase.h
new file mode 100644
index 000000000..13c09593a
--- /dev/null
+++ b/test/solverbase.h
@@ -0,0 +1,36 @@
+#ifndef TEST_SOLVERBASE_H
+#define TEST_SOLVERBASE_H
+
+template<typename DstType, typename RhsType, typename MatrixType, typename SolverType>
+void check_solverbase(const MatrixType& matrix, const SolverType& solver, Index rows, Index cols, Index cols2)
+{
+ // solve
+ DstType m2 = DstType::Random(cols,cols2);
+ RhsType m3 = matrix*m2;
+ DstType solver_solution = DstType::Random(cols,cols2);
+ solver._solve_impl(m3, solver_solution);
+ VERIFY_IS_APPROX(m3, matrix*solver_solution);
+ solver_solution = DstType::Random(cols,cols2);
+ solver_solution = solver.solve(m3);
+ VERIFY_IS_APPROX(m3, matrix*solver_solution);
+ // test solve with transposed
+ m3 = RhsType::Random(rows,cols2);
+ m2 = matrix.transpose()*m3;
+ RhsType solver_solution2 = RhsType::Random(rows,cols2);
+ solver.template _solve_impl_transposed<false>(m2, solver_solution2);
+ VERIFY_IS_APPROX(m2, matrix.transpose()*solver_solution2);
+ solver_solution2 = RhsType::Random(rows,cols2);
+ solver_solution2 = solver.transpose().solve(m2);
+ VERIFY_IS_APPROX(m2, matrix.transpose()*solver_solution2);
+ // test solve with conjugate transposed
+ m3 = RhsType::Random(rows,cols2);
+ m2 = matrix.adjoint()*m3;
+ solver_solution2 = RhsType::Random(rows,cols2);
+ solver.template _solve_impl_transposed<true>(m2, solver_solution2);
+ VERIFY_IS_APPROX(m2, matrix.adjoint()*solver_solution2);
+ solver_solution2 = RhsType::Random(rows,cols2);
+ solver_solution2 = solver.adjoint().solve(m2);
+ VERIFY_IS_APPROX(m2, matrix.adjoint()*solver_solution2);
+}
+
+#endif // TEST_SOLVERBASE_H