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matrix_from_gauss_noncentrosymmetric

sparse_ir::kernelmatrix

Function matrix_from_gauss_noncentrosymmetric 

Source 
pub fn matrix_from_gauss_noncentrosymmetric<T, K, H>(
    kernel: &K,
    gauss_x: &Rule<T>,
    gauss_y: &Rule<T>,
    hints: &H,
) -> DiscretizedKernel<T>
where
    T: CustomNumeric + Clone + Send + Sync,
    K: AbstractKernel + KernelProperties,
    H: SVEHints<T>,
Expand description

Compute matrix from Gauss quadrature rules for non-centrosymmetric kernels

This function evaluates the kernel directly at all combinations of Gauss points without exploiting symmetry. It works with the full domain [-xmax, xmax] × [-ymax, ymax].

§Arguments

  • kernel - The kernel implementing AbstractKernel
  • gauss_x - Gauss quadrature rule for x coordinates (full domain)
  • gauss_y - Gauss quadrature rule for y coordinates (full domain)
  • hints - SVE hints providing segment information

§Returns

DiscretizedKernel containing the matrix, quadrature rules, and segments