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numerics 0.1.0
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Krylov subspace matrix exponential-vector product: compute exp(t*A)*v. More...
#include "core/matrix.hpp"#include "core/types.hpp"#include "core/vector.hpp"#include "kernel/subspace.hpp"#include "linalg/sparse/sparse.hpp"#include "operator/operators.hpp"#include <stdexcept>#include <utility>#include <vector>Go to the source code of this file.
Namespaces | |
| namespace | num |
| namespace | num::detail |
Functions | |
| Matrix | num::detail::dense_expm_pade6 (const Matrix &A) |
| template<class Op > requires operators::LinearOperator<Op, Vector, Vector> | |
| Vector | num::expv (real t, const Op &A, const Vector &v, int m_max=30, real tol=1e-8) |
| Compute \(\exp(tA)v\) for any \(y=A x\) adapter. | |
| Vector | num::expv (real t, const SparseMatrix &A, const Vector &v, int m_max=30, real tol=1e-8) |
Krylov subspace matrix exponential-vector product: compute exp(t*A)*v.
Approximates \(\exp(tA)v \approx \|v\| Q_m \exp(tH_m)e_1\) where \(AQ_m \approx Q_{m+1}\bar{H}_m\) is the Arnoldi relation.
Definition in file expv.hpp.