Struct ConvolutionOperator 

pub struct ConvolutionOperator<F> { /* private fields */ }

Convolution operator for matrix-free convolution operations

Implementations

impl<F: Float + NumAssign + Sum + Copy + Send + Sync + SimdUnifiedOps> ConvolutionOperator<F>

pub fn new(kernel: Vec<F>, input_size: usize, mode: ConvolutionMode) -> Self

Create a new convolution operator

pub fn with_options( kernel: Vec<F>, input_size: usize, mode: ConvolutionMode, options: EnhancedOperatorOptions, ) -> Self

Create with custom options

Trait Implementations

impl<F: Float + NumAssign + Sum + Copy + Send + Sync + SimdUnifiedOps> LinearOperator<F> for ConvolutionOperator<F>

fn shape(&self) -> (usize, usize)

The shape of the operator (rows, columns)

fn matvec(&self, x: &[F]) -> SparseResult<Vec<F>>

Apply the operator to a vector: y = A * x

fn has_adjoint(&self) -> bool

Check if the operator supports adjoint operations

fn rmatvec(&self, x: &[F]) -> SparseResult<Vec<F>>

Apply the adjoint of the operator to a vector: y = A^H * x Default implementation returns an error

fn matmat(&self, x: &[Vec<F>]) -> SparseResult<Vec<Vec<F>>>

Apply the operator to a matrix: Y = A * X where X is column-major (each column is a vector)

fn rmatmat(&self, x: &[Vec<F>]) -> SparseResult<Vec<Vec<F>>>

Apply the adjoint of the operator to a matrix: Y = A^H * X Default implementation calls rmatvec for each column