Struct LpLayer 

pub struct LpLayer { /* private fields */ }

A differentiable LP layer using entropic regularization.

Implementations

impl LpLayer

pub fn new() -> Self

Create a new LP layer with default configuration.

pub fn with_config(config: LpLayerConfig) -> Self

Create a new LP layer with custom configuration.

pub fn forward( &mut self, c: Vec<f64>, a: Vec<Vec<f64>>, b: Vec<f64>, ) -> OptimizeResult<DiffOptResult>

Solve the entropy-regularized LP (forward pass).

Arguments

• c – objective coefficients (length n).
• a – inequality constraint matrix A (m×n): Ax ≤ b.
• b – inequality rhs (m).

pub fn backward(&self, dl_dx: &[f64]) -> OptimizeResult<DiffOptGrad>

Backward pass: compute dL/dc using the softmax Jacobian.

Trait Implementations

impl Clone for LpLayer

fn clone(&self) -> LpLayer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LpLayer

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

Formats the value using the given formatter.

impl Default for LpLayer

fn default() -> Self

Returns the “default value” for a type.