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        "author": "Danilo Horta",
        "author_email": "horta@ebi.ac.uk",
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            "License :: OSI Approved :: MIT License",
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            "Programming Language :: Python"
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        "description": "# brent-search\n\n[![Travis](https://img.shields.io/travis/com/limix/brent-search.svg?style=flat-square&label=linux%20%2F%20macos%20build)](https://travis-ci.com/limix/brent-search) [![AppVeyor](https://img.shields.io/appveyor/ci/Horta/brent-search.svg?style=flat-square&label=windows%20build)](https://ci.appveyor.com/project/Horta/brent-search) [![Read the Docs (version)](https://img.shields.io/readthedocs/brent-search/latest.svg?style=flat-square)](http://brent-search.readthedocs.io/)\n\nBrent's method for univariate function optimization.\n\n## Example\n\n```python\nfrom brent_search import brent\n\ndef func(x, s):\n  return (x - s)**2 - 0.8\n\nr = brent(lambda x: func(x, 0), -10, 10)\nprint(r)\n```\n\nThe output should be\n\n```python\n(0.0, -0.8, 6)\n```\n\n## Install\n\nFrom command line, enter\n\n```bash\npip install brent-search\n```\n\n## Testing\n\n```python\npython -c \"import brent_search; brent_search.test()\"\n```\n\n## Authors\n\n* [Danilo Horta](https://github.com/horta)\n\n## Acknowledgements\n\n- http://people.sc.fsu.edu/~jburkardt/c_src/brent/brent.c\n- Numerical Recipes 3rd Edition: The Art of Scientific Computing\n- https://en.wikipedia.org/wiki/Brent%27s_method\n\n\n## License\n\nThis project is licensed under the [MIT License](https://raw.githubusercontent.com/limix/brent-search/master/LICENSE.md).",
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