matrix-theory-specialist
CommunityDeep dive into matrix theory, unlock advanced computations.
Data & Analytics#data science#mathematics#matrix factorization#spectral theory#eigenvalues#numerical linear algebra#svd#matrix theory
Authorsandraschi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides advanced expertise in matrix theory, covering spectral theory, matrix factorizations, and numerical linear algebra. It helps users understand complex matrix properties and decompositions, enabling efficient computations and advanced applications in data science and engineering.
Core Features & Use Cases
- Spectral Theory: Understand eigenvalues, eigenvectors, and the Spectral Theorem for symmetric matrices.
- Matrix Factorizations: Learn about QR, Cholesky, and Schur decompositions.
- Matrix Norms & Condition Numbers: Analyze matrix properties for stability and error.
- Use Case: Implementing advanced numerical algorithms or analyzing the stability of a system? This Skill can explain concepts like the condition number, Rayleigh Quotient, and various matrix decompositions to ensure robust computations.
Quick Start
Explain a theorem
"Explain the Spectral Theorem for symmetric matrices."
Ask for a factorization
"Describe the Cholesky Decomposition and when it's used."
Inquire about properties
"What is the condition number of a matrix and why is it important?"
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: matrix-theory-specialist Download link: https://github.com/sandraschi/advanced-memory-mcp/archive/main.zip#matrix-theory-specialist Please download this .zip file, extract it, and install it in the .claude/skills/ directory.