OMMX

Open Mathematical prograMming eXchange (OMMX) is an open ecosystem that empowers mathematical programming and optimization developers and reserchers.

Tutorial

English

LLMs.md - Documentation formatted for AI assistants like ChatGPT or NotebookLM.

Title	Jupyter Book
Solving Optimization Problems with OMMX Adapter
Sampling from QUBO with OMMX Adapter
Comparing Results from Multiple Adapters
Sharing Various Types of Data in an OMMX Artifact
Downloading a MIPLIB Instance
Implementing an OMMX Adapter

日本語

タイトル	Jupyter Book
OMMX Adapterで最適化問題を解く
OMMX AdapterでQUBOからサンプリングする
複数のAdapterで最適化問題を解いて結果を比較する
様々なデータをOMMX Artifact形式で共有する
MIPLIBインスタンスをダウンロードする
OMMX Adapterを実装する

API Reference

See DEVELOPMENT.md about developing this project.

Rust SDK

Crate name	crates.io	API Reference (stable)	API Reference (main)	Benchmark
ommx

Python SDK

OMMX Python SDK consists of the main package ommx and several adapters for OSS solvers.

Package name	PyPI	API Reference	Description
ommx			Core package of OMMX Python SDK

See Supported Adapters about a complete list of supported adapters for each solver/sampler.

License

This project is licensed under either of

Apache License, Version 2.0, (LICENSE-APACHE or https://www.apache.org/licenses/LICENSE-2.0)
MIT license (LICENSE-MIT or https://opensource.org/licenses/MIT)

at your option.

Contribution

TBW

Acknowledgement

BRIDGE This work was performed for Council for Science, Technology and Innovation (CSTI), Cross-ministerial Strategic Innovation Promotion Program (SIP), “Promoting the application of advanced quantum technology platforms to social issues”(Funding agency : QST).

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