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README.rst

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==================================================================
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DFO-LS: Derivative-Free Optimizer for Least-Squares |PyPI Version|
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==================================================================
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===================================================
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DFO-LS: Derivative-Free Optimizer for Least-Squares
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===================================================
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.. image:: https://travis-ci.org/numericalalgorithmsgroup/dfols.svg?branch=master
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:target: https://travis-ci.org/numericalalgorithmsgroup/dfols
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:alt: Build Status
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.. image:: https://img.shields.io/badge/License-GPL%20v3-blue.svg
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:target: https://www.gnu.org/licenses/gpl-3.0
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:alt: GNU GPL v3 License
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.. image:: https://img.shields.io/pypi/v/DFO-LS.svg
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:target: https://pypi.python.org/pypi/DFO-LS
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:alt: Latest PyPI version
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DFO-LS is a flexible package for solving nonlinear least-squares minimisation, without requiring derivatives of the objective. It is particularly useful when evaluations of the objective function are expensive and/or noisy.
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This is an implementation of the algorithm from our paper: C. Cartis, J. Fiala, B. Marteau and L. Roberts, Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers, technical report, University of Oxford, (2018). DFO-LS is more flexible version of `DFO-GN <https://github.com/numericalalgorithmsgroup/dfogn>`_.
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License
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This algorithm is released under the GNU GPL license.
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.. |PyPI Version| image:: https://img.shields.io/pypi/v/DFO-LS.svg
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:target: https://pypi.python.org/pypi/DFO-LS
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This algorithm is released under the GNU GPL license. Please `contact NAG <http://www.nag.com/content/worldwide-contact-information>`_ for alternative licensing.

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