Struct AdvancedSimdOps 

pub struct AdvancedSimdOps { /* private fields */ }

Advanced SIMD operations for discriminant analysis

Implementations

impl AdvancedSimdOps

pub fn new() -> Self

pub fn with_config(config: SimdConfig) -> Self

pub fn simd_eigenvalues_2x2( &self, matrices: &Array2<Float>, ) -> Result<Array1<Float>>

SIMD-accelerated eigenvalue computation approximation for 2x2 matrices

pub fn simd_batch_inverse_2x2( &self, matrices: &Array2<Float>, ) -> Result<Array2<Float>>

SIMD-accelerated batch matrix inversion for small matrices

pub fn simd_softmax(&self, x: &Array1<Float>) -> Result<Array1<Float>>

SIMD-accelerated softmax computation

pub fn simd_log_determinant_batch( &self, matrices: &Array2<Float>, size: usize, ) -> Result<Array1<Float>>

SIMD-accelerated log-determinant computation for batch of matrices

pub fn simd_batch_quadratic_form( &self, vectors: &Array2<Float>, matrix: &Array2<Float>, ) -> Result<Array1<Float>>

SIMD-accelerated quadratic form computation: x^T A x for multiple vectors

pub fn simd_pairwise_distances( &self, x: &Array2<Float>, y: &Array2<Float>, ) -> Result<Array2<Float>>

SIMD-accelerated distance matrix computation

pub fn simd_cross_covariance( &self, x: &Array2<Float>, y: &Array2<Float>, ) -> Result<Array2<Float>>

SIMD-accelerated cross-covariance computation

pub fn simd_standardize(&self, data: &Array2<Float>) -> Result<Array2<Float>>

SIMD-accelerated feature scaling (standardization)

pub fn simd_log_sum_exp(&self, x: &Array1<Float>) -> Result<Float>

SIMD-accelerated log-sum-exp computation for numerical stability

pub fn benchmark_simd_vs_scalar(&self, size: usize) -> SimdBenchmarkResults

Performance profiling for SIMD operations

Trait Implementations

impl Default for AdvancedSimdOps

fn default() -> Self

Returns the “default value” for a type.