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        "author": "Masahiro Nomura",
        "author_email": "masahironomura5325@gmail.com",
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        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Mathematics"
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        "description": "# neldermead\n\nNelder-Mead implementation\n\n[![CircleCI](https://circleci.com/gh/nmasahiro/neldermead.svg?style=shield)](https://circleci.com/gh/nmasahiro/neldermead)\n\n## Getting Started\n\n\n### Prerequisites\n\nYou need only [NumPy](http://www.numpy.org/) that is the package for scientific computing.\n\n### Installing\n\nPlease run the following command.\n\n```bash\n$ pip install neldermead\n```\n\n## Example\n\nThis is a simple example that objective function is sphere function.\n\n```python\nimport numpy as np\nfrom neldermead import NelderMead\n\ndim = 3\nf = lambda x: np.sum(x**2)\nsimplex = np.zeros([dim, dim + 1])\nfor i in range(dim + 1):\n    simplex[:, i] = np.array([np.random.rand() for _ in range(dim)])\nnm = NelderMead(dim, f, simplex)\n\nx_best, f_best = nm.optimize(100)\nprint(\"x_best:{}, f_best:{}\".format(x_best, f_best))\n#x_best:[[-1.48045204e-08]\n# [-1.80962770e-08]\n# [ 5.08040874e-08]], f_best:3.1277043680572982e-15\n```\n\n\n## Versioning\n\nWe use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/nmasahiro/neldermead/tags). \n\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](https://github.com/nmasahiro/neldermead/blob/master/LISENCE) file for details\n\n\n",
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        "keywords": "optimization,Nelder-Mead",
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