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numerics 0.1.0
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Lanczos eigensolver for symmetric operators. More...
#include "core/matrix.hpp"#include "core/policy.hpp"#include "core/vector.hpp"#include "kernel/subspace.hpp"#include "linalg/eigen/jacobi_eig.hpp"#include "linalg/sparse/sparse.hpp"#include "core/concepts.hpp"#include <algorithm>#include <cmath>#include <stdexcept>Go to the source code of this file.
Classes | |
| struct | num::LanczosResult |
Namespaces | |
| namespace | num |
| namespace | num::detail |
Functions | |
| template<class Op > requires LinearOperator<Op, Vector, Vector> | |
| LanczosResult | num::detail::lanczos_operator_impl (const Op &A, idx k, real tol, idx max_steps, Backend backend) |
| template<class Op > requires SymmetricLinearOperator<Op, Vector, Vector> | |
| LanczosResult | num::lanczos (const Op &A, idx k, real tol=1e-10, idx max_steps=0, Backend backend=Backend::seq) |
| Operator Lanczos for a declared symmetric \(y=A x\) adapter. | |
| LanczosResult | num::lanczos (const Matrix &A, idx k, real tol=1e-10, idx max_steps=0, Backend backend=Backend::seq) |
| LanczosResult | num::lanczos (const SparseMatrix &A, idx k, real tol=1e-10, idx max_steps=0, Backend backend=Backend::seq) |
Lanczos eigensolver for symmetric operators.
Builds an orthonormal basis \(Q_m\) such that \(Q_m^T A Q_m = T_m\), with \(T_m\) tridiagonal.
Definition in file lanczos.hpp.