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Upgraded to version 1.3
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* Don’t adjust starting point if it is close to the bounds (as long as it is feasible).
* Option to stop default logging behavior and/or enable per-iteration printing.
* Bugfix: correctly handle 1-sided bounds as inputs, avoid divide-by-zero warnings when auto-detecting restarts.

Version 1.3 (14 Apr 2021)
-------------------------
* Remove NumPy deprecation warnings from use of np.int and np.float
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URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
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VERSION: '1.3',
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BUILDER: 'html',
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<meta name="viewport" content="width=device-width, initial-scale=1.0">

<title>Advanced Usage &mdash; Py-BOBYQA v1.2 documentation</title>
<title>Advanced Usage &mdash; Py-BOBYQA v1.3 documentation</title>



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<div class="version">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">

<title>Diagnostic Information &mdash; Py-BOBYQA v1.2 documentation</title>
<title>Diagnostic Information &mdash; Py-BOBYQA v1.3 documentation</title>



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<div class="version">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">

<title>Index &mdash; Py-BOBYQA v1.2 documentation</title>
<title>Index &mdash; Py-BOBYQA v1.3 documentation</title>



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<div class="version">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">

<title>Version History &mdash; Py-BOBYQA v1.2 documentation</title>
<title>Version History &mdash; Py-BOBYQA v1.3 documentation</title>



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<div class="version">
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<li class="toctree-l2"><a class="reference internal" href="#version-1-1-24-dec-2018">Version 1.1 (24 Dec 2018)</a></li>
<li class="toctree-l2"><a class="reference internal" href="#version-1-1-1-5-apr-2019">Version 1.1.1 (5 Apr 2019)</a></li>
<li class="toctree-l2"><a class="reference internal" href="#version-1-2-25-feb-2020">Version 1.2 (25 Feb 2020)</a></li>
<li class="toctree-l2"><a class="reference internal" href="#version-1-3-14-apr-2021">Version 1.3 (14 Apr 2021)</a></li>
</ul>
</li>
</ul>
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<li><p>Bugfix: correctly handle 1-sided bounds as inputs, avoid divide-by-zero warnings when auto-detecting restarts.</p></li>
</ul>
</div>
<div class="section" id="version-1-3-14-apr-2021">
<h2>Version 1.3 (14 Apr 2021)<a class="headerlink" href="#version-1-3-14-apr-2021" title="Permalink to this headline"></a></h2>
<ul class="simple">
<li><p>Remove NumPy deprecation warnings from use of np.int and np.float</p></li>
</ul>
</div>
</div>


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<meta name="viewport" content="width=device-width, initial-scale=1.0">

<title>Py-BOBYQA: Derivative-Free Optimizer for Bound-Constrained Minimization &mdash; Py-BOBYQA v1.2 documentation</title>
<title>Py-BOBYQA: Derivative-Free Optimizer for Bound-Constrained Minimization &mdash; Py-BOBYQA v1.3 documentation</title>



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<div class="section" id="py-bobyqa-derivative-free-optimizer-for-bound-constrained-minimization">
<h1>Py-BOBYQA: Derivative-Free Optimizer for Bound-Constrained Minimization<a class="headerlink" href="#py-bobyqa-derivative-free-optimizer-for-bound-constrained-minimization" title="Permalink to this headline"></a></h1>
<p><strong>Release:</strong> 1.2</p>
<p><strong>Date:</strong> 25 February 2021</p>
<p><strong>Release:</strong> 1.3</p>
<p><strong>Date:</strong> 14 April 2021</p>
<p><strong>Author:</strong> <a class="reference external" href="mailto:lindon&#46;roberts&#37;&#52;&#48;maths&#46;ox&#46;ac&#46;uk">Lindon Roberts</a></p>
<p>Py-BOBYQA is a flexible package for finding local solutions to nonlinear, nonconvex minimization problems (with optional bound constraints), without requiring any derivatives of the objective. Py-BOBYQA is a Python implementation of the <a class="reference external" href="http://mat.uc.pt/~zhang/software.html#powell_software">BOBYQA</a> solver by Powell (documentation <a class="reference external" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2009_06.pdf">here</a>). It is particularly useful when evaluations of the objective function are expensive and/or noisy.</p>
<p>That is, Py-BOBYQA solves</p>
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<li class="toctree-l2"><a class="reference internal" href="history.html#version-1-1-24-dec-2018">Version 1.1 (24 Dec 2018)</a></li>
<li class="toctree-l2"><a class="reference internal" href="history.html#version-1-1-1-5-apr-2019">Version 1.1.1 (5 Apr 2019)</a></li>
<li class="toctree-l2"><a class="reference internal" href="history.html#version-1-2-25-feb-2020">Version 1.2 (25 Feb 2020)</a></li>
<li class="toctree-l2"><a class="reference internal" href="history.html#version-1-3-14-apr-2021">Version 1.3 (14 Apr 2021)</a></li>
</ul>
</li>
</ul>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">

<title>Overview &mdash; Py-BOBYQA v1.2 documentation</title>
<title>Overview &mdash; Py-BOBYQA v1.3 documentation</title>



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<meta name="viewport" content="width=device-width, initial-scale=1.0">

<title>Installing Py-BOBYQA &mdash; Py-BOBYQA v1.2 documentation</title>
<title>Installing Py-BOBYQA &mdash; Py-BOBYQA v1.3 documentation</title>



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<title>Search &mdash; Py-BOBYQA v1.2 documentation</title>
<title>Search &mdash; Py-BOBYQA v1.3 documentation</title>



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<meta name="viewport" content="width=device-width, initial-scale=1.0">

<title>Using Py-BOBYQA &mdash; Py-BOBYQA v1.2 documentation</title>
<title>Using Py-BOBYQA &mdash; Py-BOBYQA v1.3 documentation</title>



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\title{Py-BOBYQA Documentation}
\date{25 February 2021}
\release{1.2}
\date{14 April 2021}
\release{1.3}
\author{Lindon Roberts}
\newcommand{\sphinxlogo}{\vbox{}}
\renewcommand{\releasename}{Release}
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\phantomsection\label{\detokenize{index::doc}}


\sphinxstylestrong{Release:} 1.2
\sphinxstylestrong{Release:} 1.3

\sphinxstylestrong{Date:} 25 February 2021
\sphinxstylestrong{Date:} 14 April 2021

\sphinxstylestrong{Author:} \sphinxhref{mailto:lindon.roberts@maths.ox.ac.uk}{Lindon Roberts}

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\end{itemize}


\section{Version 1.3 (14 Apr 2021)}
\label{\detokenize{history:version-1-3-14-apr-2021}}\begin{itemize}
\item {}
Remove NumPy deprecation warnings from use of np.int and np.float

\end{itemize}


\chapter{Acknowledgements}
\label{\detokenize{index:acknowledgements}}
This software was developed under the supervision of \sphinxhref{https://www.maths.ox.ac.uk/people/coralia.cartis}{Coralia Cartis}, and was supported by the EPSRC Centre For Doctoral Training in \sphinxhref{https://www.maths.ox.ac.uk/study-here/postgraduate-study/industrially-focused-mathematical-modelling-epsrc-cdt}{Industrially Focused Mathematical Modelling} (EP/L015803/1) in collaboration with the \sphinxhref{http://www.nag.com/}{Numerical Algorithms Group}.
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* Don’t adjust starting point if it is close to the bounds (as long as it is feasible).
* Option to stop default logging behavior and/or enable per-iteration printing.
* Bugfix: correctly handle 1-sided bounds as inputs, avoid divide-by-zero warnings when auto-detecting restarts.

Version 1.3 (14 Apr 2021)
-------------------------
* Remove NumPy deprecation warnings from use of np.int and np.float
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