ReddRadar
Agent skill
numerical-linear-algebra-toolkit
High-performance numerical linear algebra operations
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mathematics/skills/numerical-linear-algebra-toolkit
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- numerical-analysis
- specialization
- mathematics
SKILL.md
Numerical Linear Algebra Toolkit
Purpose
Provides high-performance numerical linear algebra operations for scientific computing and mathematical analysis.
Capabilities
- Matrix decompositions (LU, QR, SVD, Cholesky, Schur)
- Eigenvalue/eigenvector computation
- Sparse matrix operations
- Iterative solvers (CG, GMRES, BiCGSTAB)
- Condition number estimation
- Error analysis and bounds
Usage Guidelines
- Decomposition Selection: Choose appropriate factorization for the problem
- Sparsity Exploitation: Use sparse formats for large sparse matrices
- Iterative Methods: Apply iterative solvers for very large systems
- Conditioning: Assess and monitor condition numbers
Tools/Libraries
- LAPACK
- BLAS
- SuiteSparse
- Eigen
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