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FixedLanczosEigensolver

qualia_core_db::solvers::linear_algebra

Struct FixedLanczosEigensolver 

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#[repr(C)]
pub struct FixedLanczosEigensolver {
    pub iteration: u32,
    pub alpha: [f64; 100],
    pub beta: [f64; 100],
    pub vectors: [Vector4; 3],
    pub eigenvalues: [f64; 4],
    pub config: SolverConfig,
    pub solver_state: SolverState,
}
Expand description

Lanczos eigensolver for finding lowest eigenvalues

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§iteration: u32

Current iteration count

§alpha: [f64; 100]

Tridiagonal matrix elements

§beta: [f64; 100]§vectors: [Vector4; 3]

Lanczos vectors (only store 3 at a time)

§eigenvalues: [f64; 4]

Eigenvalues

§config: SolverConfig

Solver configuration

§solver_state: SolverState

Solver state

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impl FixedLanczosEigensolver

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pub fn solve_smallest_eigenvector( &mut self, matrix: &Matrix4x4, ) -> SolverResult<Vector4>

Solves for the eigenvector corresponding to the smallest eigenvalue. This is a deterministic numerical method.

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impl FixedLanczosEigensolver

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pub fn new(config: SolverConfig) -> Self

Create new Lanczos eigensolver

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pub fn find_lowest_eigenvalues( &mut self, matrix: &Matrix4x4, num_eigenvalues: usize, ) -> SolverResult<[f64; 4]>

Find lowest eigenvalues of symmetric matrix

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impl Default for FixedLanczosEigensolver

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fn default() -> Self

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