Enum OptimizationStrategy 

pub enum OptimizationStrategy {
    RowWiseCache,
    ColumnWiseLocality,
    BlockStructured,
    DiagonalOptimized,
    Hierarchical,
    StreamingCompute,
    SIMDVectorized,
    ParallelWorkStealing,
    AdaptiveHybrid,
}

Optimization strategies learned by the neural network

Variants

RowWiseCache

Row-wise processing with cache optimization

ColumnWiseLocality

Column-wise processing for memory locality

BlockStructured

Block-based processing for structured matrices

DiagonalOptimized

Diagonal-optimized processing

Hierarchical

Hierarchical decomposition

StreamingCompute

Streaming computation for large matrices

SIMDVectorized

SIMD-vectorized computation

ParallelWorkStealing

Parallel work-stealing

AdaptiveHybrid

Adaptive hybrid approach

Trait Implementations

impl Clone for OptimizationStrategy

fn clone(&self) -> OptimizationStrategy

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for OptimizationStrategy

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Hash for OptimizationStrategy

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for OptimizationStrategy

fn eq(&self, other: &OptimizationStrategy) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for OptimizationStrategy

impl Eq for OptimizationStrategy

impl StructuralPartialEq for OptimizationStrategy