Struct OptimizedConjugateGradientSolver 

pub struct OptimizedConjugateGradientSolver { /* private fields */ }

High-performance conjugate gradient solver with SIMD optimizations.

Implementations

impl OptimizedConjugateGradientSolver

pub fn new(config: OptimizedSolverConfig) -> Self

Create a new optimized solver.

pub fn solve( &mut self, matrix: &OptimizedSparseMatrix, b: &[Precision], ) -> Result<OptimizedSolverResult, String>

Solve the linear system Ax = b using optimized conjugate gradient.

pub fn get_last_iteration_count(&self) -> usize

Get the last iteration count.

pub fn solve_with_callback<F>( &mut self, matrix: &OptimizedSparseMatrix, b: &[Precision], _chunk_size: usize, _callback: F, ) -> Result<OptimizedSolverResult, String>

where F: FnMut(&OptimizedSolverStats),

Solve with callback for streaming results.

Trait Implementations

impl Complexity for OptimizedConjugateGradientSolver

const CLASS: ComplexityClass = ComplexityClass::Linear

Worst-case complexity class on a single-query call. For iterative solvers this is the per-iter cost; the iteration count is bounded by other configuration (max_iterations, tolerance, ef_construction).

const DETAIL: &'static str = "O(k · nnz(A)) per iter; k ≈ √κ(A) on SPD inputs."

Optional human-readable detail for documentation / MCP tool schemas. Defaults to the short label of CLASS. Override when there’s a non-obvious constant or k-bound.