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<h1 id="about">About</h1>
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<h3 id="authors">Authors</h3>
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<ul>
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<li><strong>Alinson S. Xavier,</strong> Argonne National Laboratory <<a href="mailto:axavier@anl.gov">axavier@anl.gov</a>></li>
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<li><strong>Feng Qiu,</strong> Argonne National Laboratory <<a href="mailto:fqiu@anl.gov">fqiu@anl.gov</a>></li>
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<h3 id="acknowledgments">Acknowledgments</h3>
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<li>Based upon work supported by Laboratory Directed Research and Development (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357.</li>
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<h3 id="references">References</h3>
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<ul>
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<li><strong>Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems.</strong> <em>Alinson S. Xavier, Feng Qiu, Shabbir Ahmed</em>. INFORMS Journal on Computing (to appear). <a href="https://arxiv.org/abs/1902.01697">ArXiv:1902:01696</a></li>
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<h3 id="license">License</h3>
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<pre><code class="text">MIPLearn, an extensible framework for Learning-Enhanced Mixed-Integer Optimization
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Copyright © 2020, UChicago Argonne, LLC. All Rights Reserved.
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Redistribution and use in source and binary forms, with or without modification, are permitted
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provided that the following conditions are met:
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1. Redistributions of source code must retain the above copyright notice, this list of
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conditions and the following disclaimer.
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conditions and the following disclaimer in the documentation and/or other materials provided
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with the distribution.
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endorse or promote products derived from this software without specific prior written
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permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY
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AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
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CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
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OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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POSSIBILITY OF SUCH DAMAGE.
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</code></pre></div>
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