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genpark-lu-decomposition-partial-pivoting-skill

mcp
Guvenlik Denetimi
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SUMMARY

Gaussian elimination with row partial pivoting (PLU decomposition) and linear system solver

README.md

genpark-lu-decomposition-partial-pivoting-skill

GitHub Stars
Python 3.9+
License: MIT
Zero External Dependencies
MCP Ready

Gaussian elimination with row partial pivoting (PLU decomposition) and linear system solver

Part of the GenPark Autonomous Agent Matrix, developed for production AI agents operating across numerical, financial, and scientific computing stacks.

🏗️ Architecture

flowchart TD
    A[Matrix / Linear System Inputs] --> B[genpark-lu-decomposition-partial-pivoting-skill]
    B --> C[Pure Python Standard Library Numerical Engine]
    C --> D[Decomposed Matrices / Eigenvalues / Solution Vector]
    B --> E[MCP Protocol Endpoint stdio]
    E --> F[Cursor / Claude Desktop / Windsurf Integration]

🚀 Quickstart

Native Python Execution

python example_usage.py

Standard Library Verification

from client import *

MCP Server (Claude Desktop / Cursor)

{
  "mcpServers": {
    "genpark-lu-decomposition-partial-pivoting-skill": {
      "command": "python",
      "args": ["-m", "genpark_lu_decomposition_partial_pivoting_skill.mcp_server"]
    }
  }
}

📄 License

MIT License.

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