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Fixed typo in documentation
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docs/_build/doctrees/index.doctree

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docs/_build/html/_sources/index.rst.txt

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\min_{x\in\mathbb{R}^n} &\quad f(x) := \sum_{i=1}^{m}r_{i}(x)^2 \\
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\text{s.t.} &\quad a \leq x \leq b
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Full details of the DFO-LS algorithm are given in 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, (2017).
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Full details of the DFO-LS algorithm are given in 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).
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DFO-LS is released under the GNU General Public License. Please `contact NAG <http://www.nag.com/content/worldwide-contact-information>`_ for alternative licensing.
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docs/_build/html/index.html

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@@ -50,7 +50,7 @@ <h1>DFO-LS: Derivative-Free Optimizer for Least-Squares Minimization<a class="he
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<div class="math">
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\[\begin{split}\min_{x\in\mathbb{R}^n} &amp;\quad f(x) := \sum_{i=1}^{m}r_{i}(x)^2 \\
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\text{s.t.} &amp;\quad a \leq x \leq b\end{split}\]</div>
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<p>Full details of the DFO-LS algorithm are given in 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, (2017).</p>
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<p>Full details of the DFO-LS algorithm are given in 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).</p>
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<p>DFO-LS is released under the GNU General Public License. Please <a class="reference external" href="http://www.nag.com/content/worldwide-contact-information">contact NAG</a> for alternative licensing.</p>
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<div class="toctree-wrapper compound">
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<p class="caption"><span class="caption-text">Contents:</span></p>

docs/_build/latex/DFOLS.aux

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\@writefile{toc}{\contentsline {section}{\numberline {2.1}When to use DFO-LS}{5}{section.2.1}}
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\@writefile{toc}{\contentsline {section}{\numberline {3.1}Nonlinear Least-Squares Minimization}{9}{section.3.1}}
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docs/_build/latex/DFOLS.tex

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\begin{split}\min_{x\in\mathbb{R}^n} &\quad f(x) := \sum_{i=1}^{m}r_{i}(x)^2 \\
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\text{s.t.} &\quad a \leq x \leq b\end{split}
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\end{equation*}
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Full details of the DFO-LS algorithm are given in 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, (2017).
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Full details of the DFO-LS algorithm are given in 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).
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DFO-LS is released under the GNU General Public License. Please \sphinxhref{http://www.nag.com/content/worldwide-contact-information}{contact NAG} for alternative licensing.
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\chapter{Installing DFO-LS}
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\label{\detokenize{install:installing-dfo-ls}}\label{\detokenize{install:dfo-ls-derivative-free-optimizer-for-least-squares-minimization}}\label{\detokenize{install::doc}}
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\label{\detokenize{install::doc}}\label{\detokenize{install:installing-dfo-ls}}\label{\detokenize{install:dfo-ls-derivative-free-optimizer-for-least-squares-minimization}}
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\label{\detokenize{userguide::doc}}\label{\detokenize{userguide:using-dfo-ls}}
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This section describes the main interface to DFO-LS and how to use it.
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This section describes different optional user parameters available in DFO-LS.
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In the last section ({\hyperref[\detokenize{userguide::doc}]{\sphinxcrossref{\DUrole{doc}{Using DFO-LS}}}}), we introduced \sphinxcode{dfols.solve()}, which has the optional input \sphinxcode{user\_params}. This is a Python dictionary of user parameters. We will now go through the settings which can be changed in this way. More details are available in the paper \phantomsection\label{\detokenize{advanced:id1}}{\hyperref[\detokenize{userguide:cfmr2018}]{\sphinxcrossref{{[}CFMR2018{]}}}}.
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In {\hyperref[\detokenize{userguide::doc}]{\sphinxcrossref{\DUrole{doc}{Using DFO-LS}}}}, we saw that the output of DFO-LS returns a container which includes diagnostic information about the progress of the algorithm (\sphinxcode{soln.diagnostic\_info}). This object is a \sphinxhref{http://pandas.pydata.org/}{Pandas} DataFrame, with one row per iteration of the algorithm. In this section, we explain the meaning of each type of output (the columns of the DataFrame).
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