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@@ -553,7 +553,7 @@ <h1>Releases <span class="docs-time d-none d-md-flex">Last update: April 26, 202
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<!-- Issues -->
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<article class="docs-article" id="issues">
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<header class="docs-header">
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<h1>Issues <span class="docs-time d-none d-md-flex">Last update: August 23, 2021</span></h1>
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<h1>Issues <span class="docs-time d-none d-md-flex">Last update: June 15, 2023</span></h1>
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</header>
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<p>
@@ -585,8 +585,8 @@ <h1>Issues <span class="docs-time d-none d-md-flex">Last update: August 23, 2021
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Python users of version 1.0 and below needed to install manually some dependencies, e.g., Python headers and a Fortran compiler.
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</td>
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<td class="p-3">
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Wheel distributions are now available on <a class="theme-link" href="https://pypi.org/project/pdfo/#files" target="_blank">PyPI</a>
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for Windows, Linux, and macOS. The wheel distributions are generated automatically using <a class="theme-link"
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Starting from version 1.1, wheel distributions are available on <a class="theme-link" href="https://pypi.org/project/pdfo/#files" target="_blank">PyPI</a> for Windows, Linux, and macOS.
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The wheel distributions are generated automatically using <a class="theme-link"
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href="https://github.com/pdfo/pdfo/actions" target="_blank">GitHub Actions</a>. Users do not need to handle the dependencies anymore as long as
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they install PDFO via <a class="theme-link" href="https://pypi.org/project/pdfo/#files" target="_blank">PyPI</a> with Python 3.7 or above.
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@@ -657,6 +657,7 @@ <h1>Citation <span class="docs-time d-none d-md-flex">Last update: June 15, 2023
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</p>
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<p>
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<a class="theme-link" href="https://arxiv.org/abs/2302.13246" target="_blank">[1]</a>
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T. M. Ragonneau and Z. Zhang, <a class="theme-link" href="https://arxiv.org/pdf/2302.13246.pdf" target="_blank">PDFO: a cross-platform package for
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Powell's derivative-free optimization solvers</a>, <a class="theme-link" href="https://arxiv.org/abs/2302.13246" target="_blank">arXiv:2302.13246</a>, 2023.
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</p>
@@ -673,51 +674,51 @@ <h1>Citation <span class="docs-time d-none d-md-flex">Last update: June 15, 2023
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</p>
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<p>
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<a class="theme-link" href="https://link.springer.com/chapter/10.1007/978-94-015-8330-5_4" target="_blank">[1]</a>
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<a class="theme-link" href="https://link.springer.com/chapter/10.1007/978-94-015-8330-5_4" target="_blank">[2]</a>
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M. J. D. Powell, A direct search optimization method that models the objective and constraint functions by linear interpolation, In Advances in Optimization and Numerical Analysis, eds. S. Gomez and J. P. Hennart, pages 51&ndash;67, Springer Verlag, Dordrecht, Netherlands, 1994
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</p>
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<p>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2000_14.ps.gz" target="_blank">[2]</a>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2000_14.ps.gz" target="_blank">[3]</a>
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M. J. D. Powell, UOBYQA: unconstrained optimization by quadratic approximation, <i>Math. Program.</i>, 92(B):555&ndash;582, 2002
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</p>
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<p>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2002_08.ps.gz" target="_blank">[3]</a>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2002_08.ps.gz" target="_blank">[4]</a>
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M. J. D. Powell, Least Frobenius norm updating of quadratic models that satisfy interpolation conditions. <i>Math. Program.</i>, 100:183&ndash;215, 2004
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</p>
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<p>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2003_03.ps.gz" target="_blank">[4]</a>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2003_03.ps.gz" target="_blank">[5]</a>
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M. J. D. Powell, On the use of quadratic models in unconstrained minimization without derivatives, <i>Optim. Methods Softw.</i>, 19:399&ndash;411, 2004
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</p>
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<p>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2004_01.pdf" target="_blank">[5]</a>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2004_01.pdf" target="_blank">[6]</a>
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M. J. D. Powell, On updating the inverse of a KKT matrix, in <i>Numerical Linear Algebra and Optimization</i>, ed. Ya-xiang Yuan, Science Press (Beijing), pp. 56&ndash;78, 2004
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</p>
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<p>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2004_08.pdf" target="_blank">[6]</a>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2004_08.pdf" target="_blank">[7]</a>
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M. J. D. Powell, The NEWUOA software for unconstrained optimization without derivatives, In <i>Large-Scale Nonlinear Optimization</i>, eds. G. Di Pillo and M. Roma, pages 255&ndash;297, Springer, New York, US, 2006
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</p>
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<p>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2007_03.pdf" target="_blank">[7]</a>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2007_03.pdf" target="_blank">[8]</a>
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M. J. D. Powell, A view of algorithms for optimization without derivatives, Technical Report DAMTP 2007/NA63, Department of Applied Mathematics and Theoretical Physics, Cambridge University, Cambridge, UK, 2007
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</p>
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<p>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2007_05.pdf" target="_blank">[8]</a>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2007_05.pdf" target="_blank">[9]</a>
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M. J. D. Powell, Developments of NEWUOA for minimization without derivatives, <i>IMA J. Numer. Anal.</i>, 28:649&ndash;664, 2008
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</p>
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<p>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2009_06.pdf" target="_blank">[9]</a>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2009_06.pdf" target="_blank">[10]</a>
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M. J. D. Powell, The BOBYQA algorithm for bound constrained optimization without derivatives, Technical Report DAMTP 2009/NA06, Department of Applied Mathematics and Theoretical Physics, Cambridge University, Cambridge, UK, 2009
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</p>
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<p>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2014_02.pdf" target="_blank">[10]</a>
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<a class="theme-link" href="http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2014_02.pdf" target="_blank">[11]</a>
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M. J. D. Powell, On fast trust region methods for quadratic models with linear constraints, <i>Math. Program. Comput.</i>, 7:237&ndash;267, 2015
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</p>
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<p>
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<a class="theme-link" href="https://tomragonneau.com/documents/thesis.pdf" target="_blank">[11]</a>
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<a class="theme-link" href="https://tomragonneau.com/documents/thesis.pdf" target="_blank">[12]</a>
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T. M. Ragonneau. <i>Model-Based Derivative-Free Optimization Methods and Software</i>, Chapter 3. PhD thesis, The Hong Kong Polytechnic University, Hong Kong SAR, China, 2022.
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</p>
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<a class="theme-link" href="http://www.libprima.net" target="_blank">[12]</a>
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<a class="theme-link" href="http://www.libprima.net" target="_blank">[13]</a>
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Z. Zhang, PRIMA: Reference Implementation for Powell's Methods
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with Modernization and Amelioration, available at
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<a class="theme-link" href="http://www.libprima.net" target="_blank">http://www.libprima.net</a>, 2023.
@@ -742,17 +743,9 @@ <h2>Remarks</h2>
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The paper [10] discusses how LINCOA solves its trust-region subproblems.
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</li>
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<li>
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<a class="theme-link" href="https://www.zhangzk.net" target="_blank">Zaikun Zhang</a> gave a brief introduction to PDFO in his talk "<a class="theme-link" href="https://www.zhangzk.net/docs/talks/20200513lsec.pdf" target="_blank">PDFO: Powell’s Derivative-Free Optimization Solvers with MATLAB and Python Interfaces</a>" delivered (online) at the <a class="theme-link" href="http://lsec.cc.ac.cn/" target="_blank">State Key Laboratory of Scientific and Engineering Computing</a>, Chinese Academy of Sciences on May 13, 2020.
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</li>
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<li>
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<a class="theme-link" href="https://tomragonneau.com" target="_blank">Tom M. Ragonneau</a> presented PDFO in his talk "PDFO: a Cross-Platform MATLAB/Python Interface for Powell's Derivative-Free Optimization Solvers" delivered (online) at the <a class="theme-link" href="https://www.siam.org/conferences/cm/conference/op21" target="_blank">SIAM Conference on Optimization (OP21)</a>, on July 21, 2021.
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</li>
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<li>
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If you would like to mention PDFO in your work, you may cite the following paper.
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Thank you.
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<p>
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T. M. Ragonneau and Z. Zhang. PDFO: A Cross-Platform Package for Powell's Derivative-Free Optimization Solvers. 2023. arXiv:<a class="thame-link" href="https://arxiv.org/abs/2302.13246/" target="_blank">2302.13246</a> [math.OC].
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</p>
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Different from PDFO, which provides interfaces for Powell's code,
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<a class="theme-link" href="http://www.libprima.net" target="_blank">[13]</a> provides modernized reference implementation for Powell's
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methods.
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</li>
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</ol>
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</section>

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