Struct EnhancedSumOperator 

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

Enhanced sum operator with parallel acceleration

Implementations

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

pub fn new( a: Box<dyn LinearOperator<F>>, b: Box<dyn LinearOperator<F>>, ) -> SparseResult<Self>

Create a new enhanced sum operator

pub fn with_options( a: Box<dyn LinearOperator<F>>, b: Box<dyn LinearOperator<F>>, options: EnhancedOperatorOptions, ) -> SparseResult<Self>

Create with custom options

Trait Implementations

impl<F: Float + NumAssign + Sum + Copy + Send + Sync + SimdUnifiedOps> LinearOperator<F> for EnhancedSumOperator<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 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 has_adjoint(&self) -> bool

Check if the operator supports adjoint operations

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