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        "author": "Kevin Ganster",
        "author_email": "kevinganster@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: C++",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Mathematics"
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        "description": "# Eikonal Fast Marching\n\neikonalfm is a Python (C++) extension which implements the Fast Marching method for the eikonal equation  \n```| grad(tau)(x) |^2 = 1 / c^2(x)```,  \nand the factored eikonal equation  \n```| (tau0 grad(tau1) + tau1 grad(tau0))(x) |^2 = 1 / c^2(x)```,  \nwhere `tau0(x) = | x - x_s |`.\n\n## References\n- J. Sethian. Fast marching methods. SIAM Review, 41(2):199-235, 1999. doi: 10.1137/S0036144598347059. URL https://doi.org/10.1137/S0036144598347059\n- Eran Treister and Eldad Haber. A fast marching algorithm for the factored eikonal equation. Journal of Computational Physics, 324:210-225, 2016.\n\n\n# Requirements\n\n- Python 3\n- numpy version 1.7 or above\n\n\n# Installation\n\nInstallation from PyPi:  \n```\npip install eikonalfm\n```\n\nManual install from the repository:  \n```\ngit clone https://github.com/Daarknes/eikonalfm.git\ncd eikonalfm\npython setup.py\n```\n\n\n# Examples\n\n```\nimport numpy as np\nimport eikonalfm\n\nc = np.ones((100, 100))\nx_s = np.array([0, 0])\ndx = np.array([1.0, 1.0])\norder = 2\n\ntau_fm = eikonalfm.fast_marching(c, x_s, dx, order)\ntau_ffm = eikonalfm.factored_fast_marching(c, x_s, dx, order)\n```\n\nNote that the source position `x_s` describes an index-vector.\n\n\n",
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        "keywords": "Fast Marching method,factored Fast Marching method,eikonal equation,factored eikonal equation",
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        "name": "eikonalfm",
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        "summary": "solving the (factored) eikonal equation with the Fast Marching method",
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