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Uni20
Asynchronous tensor and runtime library.
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Signed or complex-phase logarithmic determinants from reusable LU. More...
#include "lu.hpp"Go to the source code of this file.
Classes | |
| struct | uni20::linalg::LogDeterminant< S > |
| Determinant represented without multiplying diagonal magnitudes. More... | |
| struct | uni20::linalg::LogDeterminantResult< S > |
| Logarithmic determinant with numerical diagnostics. More... | |
Namespaces | |
| namespace | uni20 |
| namespace | uni20::linalg |
Functions | |
| template<class... Args> requires requires(Args&&... args) { slogdet_with_info(std::forward<Args>(args)...); } | |
| auto | uni20::linalg::slogdet (Args &&... args) |
| Return the log-determinant, including conventional zero for singular matrices. | |
| template<RankedTensorView< 2 > A, class... Options> requires RealOrComplex<tensor_element_t<A>> | |
| auto | uni20::linalg::slogdet_with_info (A const &a, Options const &... options) |
| Factor and reduce with the default backends for the owned host workspace. | |
| template<KernelBackendSelector Backend, RankedTensorView< 2 > A> requires RealOrComplex<tensor_element_t<A>> | |
| auto | uni20::linalg::slogdet_with_info (Backend &&backend, A const &a, Precision p, SolveOptions< make_real_t< tensor_element_t< A > > > const &options={}) |
| Factor once at explicit finite precision and return a recoverable log-determinant. | |
| template<KernelBackendSelector Backend, RankedTensorView< 2 > A> requires RealOrComplex<tensor_element_t<A>> | |
| auto | uni20::linalg::slogdet_with_info (Backend &&backend, A const &a, SolveOptions< make_real_t< tensor_element_t< A > > > const &options={}) |
| Factor once at native or inferred finite precision and reduce its diagonal. | |
| template<RealOrComplex S> | |
| LogDeterminantResult< S > | uni20::linalg::slogdet_with_info (LuFactorization< S > const &factor) |
| Reduce completed factors in O(n), without refactoring or changing them. | |
Signed or complex-phase logarithmic determinants from reusable LU.