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numerics 0.1.0
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Symmetric eigendecomposition \(A=V\Lambda V^T\). More...
#include <jacobi_eig.hpp>
Public Attributes | |
| Vector | values |
| Matrix | vectors |
| idx | sweeps = 0 |
| bool | converged = false |
Symmetric eigendecomposition \(A=V\Lambda V^T\).
Definition at line 15 of file jacobi_eig.hpp.
| bool num::EigenResult::converged = false |
Definition at line 19 of file jacobi_eig.hpp.
| idx num::EigenResult::sweeps = 0 |
Definition at line 18 of file jacobi_eig.hpp.
| Vector num::EigenResult::values |
Definition at line 16 of file jacobi_eig.hpp.
Referenced by num::lanczos().
| Matrix num::EigenResult::vectors |
Definition at line 17 of file jacobi_eig.hpp.
Referenced by num::lanczos().