linear-solver
CommunityUnified linear solvers across backends.
Authoryonesuke
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Solves Ax=b using a variety of backends (NumPy, JAX, PyTorch, and Lineax).
Core Features & Use Cases
- Direct and iterative solvers: LU/Cholesky/QR/SVD, CG/GMRES, and TDMA for dense, sparse, and structured systems.
- Multi-backend compatibility: Works with NumPy (CPU), JAX (GPU/TPU), PyTorch, and Lineax, enabling easy experimentation and differentiation.
- Use Case: Quickly prototype solver strategies for large linear systems arising in simulations or data analysis.
Quick Start
Select a backend (NumPy, JAX, PyTorch, or Lineax) and run the provided example to solve Ax=b.
Dependency Matrix
Required Modules
numpyjaxjaxlibtorchlineaxscipy
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: linear-solver Download link: https://github.com/yonesuke/skills/archive/main.zip#linear-solver Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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