v0.6.3

[lkdvos]

Proposed release notes:

MatrixAlgebraKit.jl v0.6.3 Release Notes

Release Date: January 23, 2026

Overview

This release introduces native algorithm implementations, enhanced automatic differentiation support for Enzyme, improved handling of diagonal matrices, and modernized testing infrastructure.

Key Features

🎯 New Features

Native Algorithm Implementations

• Added native implementations for QR and LQ decompositions, providing faster computation without external dependencies (#90)

Enhanced Automatic Differentiation

• Implemented reverse-mode automatic differentiation rules for Enzyme, enabling AD through decompositions and matrix functions (#86)
• Added pullback rules for Diagonal input matrices in eigenvalue and singular value decompositions, improving AD efficiency for sparse matrix operations (#156)

🔧 Infrastructure Improvements

Testing Infrastructure

• Migrated test suite to use ParallelTestRunner for improved test execution performance (#155)

🐛 Bug Fixes

• Eigenvalue decompositions of diagonal input matrices now correctly return sorted values with the same type as non-diagonal inputs, ensuring consistency across different input types (#151)
• Fixed inconsistent checksquare usage across the codebase for better error handling (#154)
• Corrected typos in error messages (#153)

Related Links

• Full Changelog
• Commit History

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
see 1 file with indirect coverage changes

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.