mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
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()
This commit is contained in:
36
test/solverbase.h
Normal file
36
test/solverbase.h
Normal file
@@ -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
|
||||
Reference in New Issue
Block a user