Add JOSS paper for LinearSolve.jl#805
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ChrisRackauckas-Claude wants to merge 1 commit intoSciML:mainfrom
Open
Add JOSS paper for LinearSolve.jl#805ChrisRackauckas-Claude wants to merge 1 commit intoSciML:mainfrom
ChrisRackauckas-Claude wants to merge 1 commit intoSciML:mainfrom
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This commit adds a Journal of Open Source Software (JOSS) paper submission following the structure used in DataInterpolations.jl. The paper includes: - joss/paper.md: Main paper content describing LinearSolve.jl's features, statement of need, and example usage - joss/paper.bib: Bibliography with references to Julia, underlying solver libraries (KLU, UMFPACK, Pardiso, Sparspak), Krylov methods, GPU libraries, and related SciML packages The paper highlights LinearSolve.jl's key contributions: - Unified interface for linear solvers across the Julia ecosystem - High-performance implementations with hardware-specific optimizations - Comprehensive sparse and dense solver support - GPU acceleration capabilities - Intelligent polyalgorithm selection - Seamless integration with the SciML ecosystem 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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| Solving linear systems of the form $Ax = b$ is a fundamental operation in scientific computing, appearing in applications ranging from machine learning to differential equations. LinearSolve.jl is a Julia [@Bezanson2017] package that provides a unified, high-performance interface for linear system solvers across the Julia ecosystem. The package implements the SciML common interface, enabling users to easily swap between different solver algorithms while maintaining maximum efficiency. LinearSolve.jl includes: | ||
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| - Fast pure Julia LU factorizations which can outperform standard BLAS implementations |
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lol it didn't do well at all 😅 I guess I'll write tomorrow.
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Summary
This PR adds a Journal of Open Source Software (JOSS) paper submission for LinearSolve.jl, following the structure and format used in DataInterpolations.jl.
Changes
Paper Content
The paper highlights LinearSolve.jl's key contributions to the Julia ecosystem:
Core Features
Solver Ecosystem
Advanced Capabilities
Example Structure
The paper follows JOSS guidelines with:
Next Steps
This is a first draft following the DataInterpolations.jl template. Please review and suggest:
Test Results
✅ Package loads successfully with the new files
✅ No breaking changes (only documentation added)
🤖 Generated with Claude Code