Struct EmbeddedImplicitPsiDerivativeOperator 

pub struct EmbeddedImplicitPsiDerivativeOperator { /* private fields */ }

Implementations

impl EmbeddedImplicitPsiDerivativeOperator

pub fn new( base: Arc<ImplicitDesignPsiDerivative>, global_range: Range<usize>, total_p: usize, ) -> Result<EmbeddedImplicitPsiDerivativeOperator, String>

pub fn embed_vector( &self, local: ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>, ) -> ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>

pub fn local_coeffs( &self, u: &ArrayBase<ViewRepr<&f64>, Dim<[usize; 1]>>, context: &str, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>, BasisError>

Trait Implementations

impl CustomFamilyPsiDerivativeOperator for EmbeddedImplicitPsiDerivativeOperator

fn as_any(&self) -> &(dyn Any + 'static)

fn n_data(&self) -> usize

fn p_out(&self) -> usize

fn transpose_mul( &self, axis: usize, v: &ArrayBase<ViewRepr<&f64>, Dim<[usize; 1]>>, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>, BasisError>

fn forward_mul( &self, axis: usize, u: &ArrayBase<ViewRepr<&f64>, Dim<[usize; 1]>>, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>, BasisError>

fn transpose_mul_second_diag( &self, axis: usize, v: &ArrayBase<ViewRepr<&f64>, Dim<[usize; 1]>>, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>, BasisError>

fn transpose_mul_second_cross( &self, axis_d: usize, axis_e: usize, v: &ArrayBase<ViewRepr<&f64>, Dim<[usize; 1]>>, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>, BasisError>

fn forward_mul_second_diag( &self, axis: usize, u: &ArrayBase<ViewRepr<&f64>, Dim<[usize; 1]>>, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>, BasisError>

fn forward_mul_second_cross( &self, axis_d: usize, axis_e: usize, u: &ArrayBase<ViewRepr<&f64>, Dim<[usize; 1]>>, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>, BasisError>

fn row_chunk_first( &self, axis: usize, rows: Range<usize>, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, BasisError>

fn row_vector_first_into( &self, axis: usize, row: usize, out: ArrayBase<ViewRepr<&mut f64>, Dim<[usize; 1]>>, ) -> Result<(), BasisError>

Single-row specialization of row_chunk_first. Default implementation delegates to row_chunk_first(axis, row..row+1) and copies the resulting row into the output buffer; implementations that can avoid the temporary matrix allocation should override this method.

fn row_chunk_second_diag( &self, axis: usize, rows: Range<usize>, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, BasisError>

fn row_chunk_second_cross( &self, axis_d: usize, axis_e: usize, rows: Range<usize>, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, BasisError>

fn as_materializable( &self, ) -> Option<&(dyn MaterializablePsiDerivativeOperator + 'static)>

Optional upcast to the dense materialization surface. Production exact paths should prefer the analytic matvec / row-chunk methods above and avoid forming the full derivative matrix; implementations that do support dense materialization (used by diagnostics, tests, and small-data fallbacks) should override this to return Some(self).

impl MaterializablePsiDerivativeOperator for EmbeddedImplicitPsiDerivativeOperator

fn materialize_first( &self, axis: usize, ) -> Result<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, BasisError>