faer 0.24.0

linear algebra library
Documentation 
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use super::*;
impl<I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>> LinOp<T>
	for SparseRowMat<I, ViewT>
{
	#[inline]
	fn nrows(&self) -> usize {
		self.rb().nrows()
	}

	#[inline]
	fn ncols(&self) -> usize {
		self.rb().ncols()
	}

	#[inline]
	fn apply_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq {
		self.rb().apply_scratch(rhs_ncols, par)
	}

	#[inline]
	#[track_caller]
	fn apply(
		&self,
		out: MatMut<'_, T>,
		rhs: MatRef<'_, T>,
		par: Par,
		stack: &mut MemStack,
	) {
		self.rb().apply(out, rhs, par, stack)
	}

	#[inline]
	#[track_caller]
	fn conj_apply(
		&self,
		out: MatMut<'_, T>,
		rhs: MatRef<'_, T>,
		par: Par,
		stack: &mut MemStack,
	) {
		self.rb().conj_apply(out, rhs, par, stack)
	}
}
impl<I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>> BiLinOp<T>
	for SparseRowMat<I, ViewT>
{
	#[inline]
	fn transpose_apply_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq {
		self.rb().transpose_apply_scratch(rhs_ncols, par)
	}

	#[inline]
	#[track_caller]
	fn transpose_apply(
		&self,
		out: MatMut<'_, T>,
		rhs: MatRef<'_, T>,
		par: Par,
		stack: &mut MemStack,
	) {
		self.rb().transpose_apply(out, rhs, par, stack)
	}

	#[inline]
	#[track_caller]
	fn adjoint_apply(
		&self,
		out: MatMut<'_, T>,
		rhs: MatRef<'_, T>,
		par: Par,
		stack: &mut MemStack,
	) {
		self.rb().adjoint_apply(out, rhs, par, stack)
	}
}
impl<I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>> Precond<T>
	for SparseRowMat<I, ViewT>
{
}
impl<I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>> BiPrecond<T>
	for SparseRowMat<I, ViewT>
{
}