Module sve 

Singular Value Expansion (SVE) module

This module provides functionality for computing the singular value expansion of integral kernels, which is the core of the SparseIR algorithm.

Design Principles

1. Separation of Concerns: Clear separation between general SVE processing and symmetry-specific logic
2. Type-driven Precision: Automatic selection of working precision based on required accuracy
3. Symmetry Exploitation: Efficient computation for centrosymmetric kernels via even/odd decomposition
4. Composability: Modular design allowing easy extension and testing

Structs

CentrosymmSVE

Centrosymmetric SVE computation

NonCentrosymmSVE

Non-centrosymmetric SVE computation

SVEResult

Result of Singular Value Expansion computation

SamplingSVE

Sampling-based SVE computation

Enums

SVDStrategy

SVD computation strategy

TworkType

Working precision type for SVE computations

Traits

SVEStrategy

Trait for SVE computation strategies

Functions

compute_sve

Main SVE computation function for centrosymmetric kernels

compute_sve_general

Main SVE computation function for general kernels (centrosymmetric or non-centrosymmetric)