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README.rst

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The development of DFO-LS is outlined over several publications:
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1. C. Cartis, J. Fiala, B. Marteau and L. Roberts, `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 [`preprint <https://arxiv.org/abs/1804.00154>`_] .
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2. M. Hough, and L. Roberts, `Model-Based Derivative-Free Methods for Convex-Constrained Optimization <https://doi.org/10.1137/21M1460971>`_, *SIAM Journal on Optimization*, 21:4 (2022), pp. 2552-2579 [`preprint <https://arxiv.org/abs/2111.05443>`_].
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3. Y. Liu, K. H. Lam and L. Roberts, `Black-box Optimization Algorithms for Regularized Least-squares Problems <http://arxiv.org/abs/2407.14915>`_, *arXiv preprint arXiv:arXiv:2407.14915*, 2024.
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1. C Cartis, J Fiala, B Marteau and L Roberts, `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 [`preprint <https://arxiv.org/abs/1804.00154>`_] .
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2. M Hough, and L Roberts, `Model-Based Derivative-Free Methods for Convex-Constrained Optimization <https://doi.org/10.1137/21M1460971>`_, *SIAM Journal on Optimization*, 21:4 (2022), pp. 2552-2579 [`preprint <https://arxiv.org/abs/2111.05443>`_].
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3. Y Liu, K H Lam and L Roberts, `Black-box Optimization Algorithms for Regularized Least-squares Problems <http://arxiv.org/abs/2407.14915>`_, *arXiv preprint arXiv:arXiv:2407.14915*, 2024.
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If you use DFO-LS in a paper, please cite [1].
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If your problem has constraints, including bound constraints, please cite [1,2].

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