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Upgraded to version 1.3
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* Bugfix: correctly handle 1-sided bounds as inputs, avoid divide-by-zero warnings when auto-detecting restarts.
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Version 1.3 (14 Apr 2021)
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* Remove NumPy deprecation warnings from use of np.int and np.float

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<p><strong>Release:</strong> 1.2</p>
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<p><strong>Date:</strong> 25 February 2021</p>
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<p><strong>Release:</strong> 1.3</p>
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<p><strong>Date:</strong> 14 April 2021</p>
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<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>
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<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>
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\title{Py-BOBYQA Documentation}
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\date{25 February 2021}
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\release{1.2}
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\date{14 April 2021}
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\release{1.3}
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\author{Lindon Roberts}
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\phantomsection\label{\detokenize{index::doc}}
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\sphinxstylestrong{Release:} 1.2
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\sphinxstylestrong{Release:} 1.3
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\sphinxstylestrong{Date:} 25 February 2021
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\sphinxstylestrong{Date:} 14 April 2021
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\sphinxstylestrong{Author:} \sphinxhref{mailto:lindon.roberts@maths.ox.ac.uk}{Lindon Roberts}
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\end{itemize}
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\section{Version 1.3 (14 Apr 2021)}
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\label{\detokenize{history:version-1-3-14-apr-2021}}\begin{itemize}
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\item {}
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Remove NumPy deprecation warnings from use of np.int and np.float
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\end{itemize}
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\chapter{Acknowledgements}
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\label{\detokenize{index:acknowledgements}}
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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}.

‎docs/build/latex/Py-BOBYQA.toc

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\contentsline {section}{\numberline {6.4}Version 1.1 (24 Dec 2018)}{23}{section.6.4}
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\contentsline {section}{\numberline {6.5}Version 1.1.1 (5 Apr 2019)}{24}{section.6.5}
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\contentsline {section}{\numberline {6.6}Version 1.2 (25 Feb 2020)}{24}{section.6.6}
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\contentsline {section}{\numberline {6.7}Version 1.3 (14 Apr 2021)}{24}{section.6.7}
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\contentsline {chapter}{\numberline {7}Acknowledgements}{25}{chapter.7}
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\contentsline {chapter}{Bibliography}{27}{chapter*.3}

‎docs/history.rst

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* Don’t adjust starting point if it is close to the bounds (as long as it is feasible).
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* Option to stop default logging behavior and/or enable per-iteration printing.
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* Bugfix: correctly handle 1-sided bounds as inputs, avoid divide-by-zero warnings when auto-detecting restarts.
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Version 1.3 (14 Apr 2021)
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-------------------------
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* Remove NumPy deprecation warnings from use of np.int and np.float

‎manual.pdf

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