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@@ -33,17 +33,17 @@ If you are interested in solving least-squares minimization problems, you may wi
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Documentation
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See manual.pdf or `here<https://numericalalgorithmsgroup.github.io/pybobyqa/>`_.
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See manual.pdf or the `online manual<https://numericalalgorithmsgroup.github.io/pybobyqa/>`_.
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Citation
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--------
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If you use Py-BOBYQA in a paper, please cite:
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Cartis, C., Fiala, J., Marteau, B. and Roberts, L., `Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers<https://doi.org/10.1145/3338517>`_, *ACM Transactions on Mathematical Software*, 45:3 (2019), pp. 32:1-32:41.
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Cartis, C., Fiala, J., Marteau, B. and Roberts, L., Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers, *ACM Transactions on Mathematical Software*, 45:3 (2019), pp. 32:1-32:41.
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If you use Py-BOBYQA's global optimization heuristic, please cite the above and also
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Cartis, C., Roberts, L. and Sheridan-Methven, O., `Escaping local minima with derivative-free methods: a numerical investigation<https://arxiv.org/abs/1812.11343>`_, technical report, University of Oxford, (2018).
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Cartis, C., Roberts, L. and Sheridan-Methven, O., Escaping local minima with derivative-free methods: a numerical investigation, technical report, University of Oxford, (2018).
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Requirements
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------------
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Examples
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Examples of how to run Py-BOBYQA are given in the `documentation <https://numericalalgorithmsgroup.github.io/pybobyqa/>`_, and the `examples <https://github.com/numericalalgorithmsgroup/pybobyqa/tree/master/examples>`_ directory in Github.
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Examples of how to run Py-BOBYQA are given in the `online documentation <https://numericalalgorithmsgroup.github.io/pybobyqa/>`_, and the `examples directory <https://github.com/numericalalgorithmsgroup/pybobyqa/tree/master/examples>`_ in Github.
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