Module matrices 

Matrix operations and linear algebra

This module provides comprehensive matrix functionality including:

• Memory-optimized matrix types (identity, diagonal, sparse, etc.)
• Unified matrix interface with zero-cost abstractions
• Mathematical operations (add, multiply, transpose, inverse, etc.)
• Matrix decompositions (LU, QR, Cholesky, SVD)
• Eigenvalue and eigenvector computation
• Integration with the Expression system

Module Structure

• types - Matrix data structures and type definitions
• unified - Core Matrix enum and basic operations
• operations - High-level operations for Expression integration
• decomposition - Matrix decomposition algorithms (LU, QR, Cholesky, SVD)
• eigenvalues - Eigenvalue computation and matrix functions

Re-exports

pub use decomposition::MatrixDecomposition;

pub use eigenvalues::EigenOperations;

pub use operations::MatrixOperations;

pub use unified::CoreMatrixOps;

pub use unified::Matrix;

pub use types::*;

Modules

decomposition

Matrix decomposition algorithms

eigenvalues

Eigenvalue and eigenvector computation

inverse_tests

operations

High-level matrix operations for Expression integration

types

Matrix data types with memory-optimized storage

unified

Unified matrix system with zero-cost abstractions