Struct SimdMatrixOps 

pub struct SimdMatrixOps { /* private fields */ }

SIMD-accelerated matrix operations for discriminant analysis

Implementations

impl SimdMatrixOps

pub fn new() -> Self

Create a new SIMD matrix operations engine

pub fn with_config(config: SimdConfig) -> Self

Create with custom configuration

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

SIMD-accelerated matrix-vector multiplication

pub fn simd_dot_product( &self, a: &ArrayView1<'_, Float>, b: ArrayView1<'_, Float>, ) -> Result<Float>

SIMD-accelerated dot product

pub fn simd_matmul( &self, a: &Array2<Float>, b: &Array2<Float>, ) -> Result<Array2<Float>>

SIMD-accelerated matrix multiplication

pub fn simd_element_wise_add( &self, a: &Array1<Float>, b: &Array1<Float>, ) -> Result<Array1<Float>>

SIMD-accelerated element-wise operations

pub fn simd_element_wise_subtract( &self, a: &Array1<Float>, b: &Array1<Float>, ) -> Result<Array1<Float>>

SIMD-accelerated element-wise subtraction

pub fn simd_element_wise_multiply( &self, a: &Array1<Float>, b: &Array1<Float>, ) -> Result<Array1<Float>>

SIMD-accelerated element-wise multiplication

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

SIMD-accelerated covariance matrix computation

pub fn simd_mahalanobis_distance( &self, x: &Array1<Float>, mean: &Array1<Float>, inv_cov: &Array2<Float>, ) -> Result<Float>

SIMD-accelerated distance computations for discriminant analysis

pub fn check_simd_support(&self) -> SimdSupport

Check if current CPU supports required SIMD features

Trait Implementations

impl Default for SimdMatrixOps

fn default() -> Self

Returns the “default value” for a type.