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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Minotaur Toolkit</title>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css"
integrity="sha512-z3gLpd7yknf1YoNbCzqRKc4qyor8gaKU1qmn+CShxbuBusANI9QpRohGBreCFkKxLhei6S9CQXFEbbKuqLg0DA=="
crossorigin="anonymous" referrerpolicy="no-referrer" />
<link rel="stylesheet" href="style.css">
</head>
<body>
<header>
<div class="navbar">
<div class="logo">
</div>
<div class="nav-buttons">
<div class="hamburger " onclick="func()" >
<div class="line"></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"></div>
</div>
<a href="index.html">
<button style="color: rgb(0, 0, 0);" class="documentation-button">Home</button>
</a>
<a href="downloads.html">
<button class="documentation-button">Installation</button>
</a>
<a href="doc.html">
<button class="documentation-button">User Guide</button>
</a>
<a href="https://www.ieor.iitb.ac.in/files/faculty/amahajan/minotaur/nightly/origin/html/index.html">
<button class="documentation-button">Developers Docs</button>
</a>
<a href="https://www.github.com/coin-or/minotaur">
<button class="documentation-button">Source Code</button>
</a>
</div>
</div>
</header>
<section class="links" id="extra">
<ul>
<li>
<a href="index.html">Home</a>
</li>
<li>
<a href="downloads.html">Installation</a>
</li>
<li>
<a href="doc.html">User Guide</a>
</li>
<li>
<a href="https://www.ieor.iitb.ac.in/files/faculty/amahajan/minotaur/nightly/origin/html/index.html">Developers Docs</a>
</li>
<li><a href="https://www.github.com/coin-or/minotaur">Source Code</a></li>
<li onclick="func2()"><a href="">Close</a></li>
</ul>
</section>
<section class="minotaur-info">
<div class="minotaur-content">
<h1 class="web" style=" align-self: center;">Minotaur Toolkit </h1>
<p style="font-size: 20px;">
Minotaur is an open-source software for solving Mixed-Integer Nonlinear Optimization (MINLO)
problems.
It includes solvers for both convex and nonconvex problems. It can be extended or customized for
specific problem types.
</p>
<br>
<br>
</div>
<div class="logo2">
<img src="Minotaur3.png" alt="Minotaur Logo">
</div>
<div class="logo3">
<div class="img">
<img src="Minotaur3.png" alt="Minotaur Logo">
</div>
</div>
</section>
<section class="features-solvers">
<div class="features">
<h2>Features</h2>
<ul>
<li>Native support for nonlinear functions including automatic differentiation</li>
<li>Multithreaded solvers (OA and QG)</li>
<li>Uses BQPD, CBC, Clp, CPLEX, FilterSQP, IPOPT for LP, QP and MILP subproblems</li>
<li>Compatible with AMPL and Pyomo</li>
</ul>
</div>
<div class="solvers">
<h2>Solvers Available</h2>
<ul>
<li>mbnb: nonlinear optimization based branch-and-bound for convex MINLPs</li>
<li>mqg: LP/NLP based branch-and-cut for convex MINLP</li>
<!---- <li>mqgpar: Shared-memory parallel version of LP/NLP
based branch-and-cut for convex MINLP</li> ---->
<li>mglob: Global optimization solver for quadratically constrained problems.</li>
<li>mmultistart: Multistart heuristic for nonconvex MINLP</li>
</ul>
<p>Also available when compiled with CPLEX:</p>
<ul>
<li>moa: Outer Approximation for convex MINLP</li>
<li>mlstoa: Outer Approximation for convex MINLP with lazy callbacks</li>
</ul>
</div>
</section>
<footer class="footer">
<a name="license"></a>
<div class="license" >
<h2>License</h2>
<p>Minotaur is free to use, modify, and redistribute without any restrictions.<br> <a href='https://minotaur-solver.github.io/LICENSE.txt'>see the license for details </a></p>
</div>
<div class="contact" style="margin-left: 4%;">
<h2>Contact</h2>
<p>Queries about using the software may be addressed to the <a href="https://lists.mcs.anl.gov/mailman/listinfo/minotaur" >Minotaur mailing list</a>. <br>Other queries can be made to Ashutosh Mahajan, amahajan [at] iitb.ac.in</p>
</div>
</footer>
</body>
<script>
const func=()=>{
document.getElementById('extra').style.display="block";
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</html>