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Contents:

  • Features
  • Installation
  • Quick Start
  • Examples
  • Usage
  • Advanced Usage
  • Configuration
  • API Reference
  • Contributing
  • License
  • Citation
  • Contact
llmize
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Welcome to LLMize’s documentation!

LLMize is a Python package that uses Large Language Models (LLMs) for multipurpose, numerical optimization tasks. It provides a flexible and efficient framework for solving various optimization problems using LLM-based approaches, with support for both maximization and minimization objectives.

Contents:

  • Features
    • Core Optimization Features
    • Advanced Optimization Features
    • Optimization Control
    • Results and Analysis
    • Integration and Extensibility
    • Performance and Scalability
  • Installation
  • Quick Start
  • Examples
    • Convex Optimization
    • Traveling Salesman Problem
    • Neural Network Hyperparameter Tuning
    • Linear Programming
    • Nuclear Fuel Optimization
  • Usage
    • Basic Usage
    • Advanced Usage
    • See Also
  • Advanced Usage
    • Callbacks
    • Parallel Processing
    • Result Analysis
  • Configuration
    • Configuration Sources
    • Configuration Files
    • Example Configuration
    • Configuration Options
    • Environment Variables
    • Using Configuration in Code
    • Examples
  • API Reference
    • Core Module
    • Optimizers
    • Utils
    • Submodules
  • Contributing
  • License
  • Citation
  • Contact

Indices and tables

  • Index

  • Module Index

  • Search Page

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© Copyright 2025, Rizki Oktavian (Blue Wave AI Labs).

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