12#include "detray/algebra/concepts.hpp"
13#include "detray/algebra/generic/algorithms/matrix/decomposition/partial_pivot_lud.hpp"
14#include "detray/algebra/type_traits.hpp"
15#include "detray/definitions/detail/qualifiers.hpp"
17namespace detray::algebra::generic::matrix::inverse {
20template <concepts::square_matrix matrix_t>
23 using scalar_t = detray::traits::value_t<matrix_t>;
25 using index_t = detray::traits::index_t<matrix_t>;
38 DETRAY_HOST_DEVICE
constexpr matrix_t
operator()(
const matrix_t& m)
const {
40 constexpr index_t N{detray::traits::max_rank<matrix_t>};
42 const typename decomposition_t::template lud<N> decomp_res =
46 const auto& lu = decomp_res.lu;
49 const auto& P = decomp_res.P;
55 for (
index_t j = 0; j < N; j++) {
56 for (
index_t i = 0; i < N; i++) {
57 elem(inv, i, j) =
static_cast<index_t>(P[i]) == j
61 for (
index_t k = 0; k < i; k++) {
62 elem(inv, i, j) -= elem(lu, i, k) * elem(inv, k, j);
66 for (
index_t i = N - 1; int(i) >= 0; i--) {
67 for (
index_t k = i + 1; k < N; k++) {
68 elem(inv, i, j) -= elem(lu, i, k) * elem(inv, k, j);
70 elem(inv, i, j) /= elem(lu, i, i);
"Partial Pivot LU Decomposition", assuming a N X N matrix
Definition partial_pivot_lud.hpp:23
Invert a square matrix using LU decomposition with partial pivoting.
Definition partial_pivot_lud.hpp:21
detray::traits::index_t< matrix_t > index_t
Matrix index type.
Definition partial_pivot_lud.hpp:25
typename algebra::generic::matrix::decomposition::partial_pivot_lud< matrix_t > decomposition_t
LU decomposition implementation used to factor the matrix.
Definition partial_pivot_lud.hpp:31
constexpr matrix_t operator()(const matrix_t &m) const
Compute the inverse from the pivoted LU factors.
Definition partial_pivot_lud.hpp:38
detray::traits::value_t< matrix_t > scalar_t
Matrix element type.
Definition partial_pivot_lud.hpp:23
detray::traits::element_getter_t< matrix_t > element_getter_t
Function (object) used for accessing a matrix element.
Definition partial_pivot_lud.hpp:28