# pdfo

**Repository Path**: mzemm/pdfo

## Basic Information

- **Project Name**: pdfo
- **Description**: Powell 无导数优化求解器。可求解黑箱优化，用于机器学习超参数调节。详情见项目主页 https://www.pdfo.net 。
- **Primary Language**: Python
- **License**: LGPL-3.0
- **Default Branch**: main
- **Homepage**: https://www.pdfo.net
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 10
- **Created**: 2022-09-29
- **Last Updated**: 2022-09-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PDFO: Powell's Derivative-Free Optimization solvers

[![wheels](https://github.com/pdfo/pdfo/actions/workflows/wheels.yml/badge.svg)](https://github.com/pdfo/pdfo/actions/workflows/wheels.yml)
[![license](https://img.shields.io/badge/license-LGPLv3+-blue)](https://github.com/pdfo/pdfo/blob/main/LICENCE.txt)
[![pypi](https://img.shields.io/pypi/v/pdfo)](https://pypi.org/project/pdfo/)
[![download](https://img.shields.io/pypi/dm/pdfo?label=pypi%20downloads)](https://pypi.org/project/pdfo/)

Dedicated to late Professor [M. J. D. Powell](https://www.zhangzk.net/powell.html)
FRS (1936–2015).

We look forward to your feedback! Thank you very much!

## Getting started

PDFO (Powell's Derivative-Free Optimization solvers) is a cross-platform package
providing interfaces for using late Professor [M. J. D. Powell's](https://www.zhangzk.net/powell.html)
derivative-free optimization solvers, including UOBYQA, NEWUOA, BOBYQA, LINCOA,
and COBYLA. See https://www.pdfo.net for more information.

- To use the MATLAB version of PDFO, see [README_mat.md](https://github.com/pdfo/pdfo/blob/main/README_mat.md).
- To use the Python version of PDFO, see [README_py.md](https://github.com/pdfo/pdfo/blob/main/README_py.md).

This package makes use of a modified version of [Powell's](https://www.zhangzk.net/powell.html)
Fortran code. See the folder [`original`](https://github.com/pdfo/pdfo/tree/main/fsrc/original)
under `fsrc` for [Powell's](https://www.zhangzk.net/powell.html) original code.

## Acknowledgments

The development of this package is funded by the [UGC](https://www.ugc.edu.hk/)
of Hong Kong (ref. PolyU 253012/17P, PolyU 153054/20P, and
[HKPFS](https://cerg1.ugc.edu.hk/hkpfs/) PF18-24698), and The Hong Kong
Polytechnic University.

PDFO is dedicated to the memory of late Professor [Powell](https://www.zhangzk.net/powell.html)
with gratitude for his inspiration and for the treasures he left to us. We are
also grateful to Professor [Ya-xiang Yuan](http://lsec.cc.ac.cn/~yyx/) for his
everlasting encouragement and support.