numpy-linalg

Community

Master NumPy's linear algebra capabilities.

Authorcuba6112
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill simplifies complex linear algebra operations, enabling efficient matrix manipulations and equation solving.

Core Features & Use Cases

  • Matrix Operations: Perform matrix multiplication, decomposition, and solve linear systems.
  • Optimization: Optimize chains of matrix multiplications and find least-squares solutions.
  • Use Case: Solve a system of linear equations $Ax = b$ where $A$ is a 5x5 matrix and $b$ is a vector, or reconstruct a matrix using its Singular Value Decomposition (SVD) with reduced rank.

Quick Start

Use the numpy-linalg skill to reconstruct a matrix using its SVD with only the top 2 components.

Dependency Matrix

Required Modules

numpy

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: numpy-linalg
Download link: https://github.com/cuba6112/skillfactory/archive/main.zip#numpy-linalg

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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