Papers

1. Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels and Wim Vanroose, Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining (2019).  https://arxiv.org/abs/1905.06850

2. K. A. Khan, J. Larson, and S. M. Wild. Manifold sampling for optimization of nonconvex functions that are piecewise linear compositions of smooth components. ​SIAM Journal on Optimization​ , 28(4):3001–3024, 2018. https://doi.org/10.1137/17m114741x

3. J. Larson, M. Menickelly, and S. M. Wild. Derivative-free optimization methods. ​Acta Numerica​ , 28: 287–404, 2019. https://doi.org/10.1017/s0962492919000060

4. J. Larson and S. M. Wild. Asynchronously parallel optimization solver for finding multiple minima. ​Mathematical Programming Computation​ , 10(3):303–332, 2018.
https://doi.org/10.1007/s12532-017-0131-4

5. J. Larson, S. Leyffer, P. Palkar, and S. M. Wild. A method for convex black-box integer global optimization. Technical Report 1903.11366, ArXiv, 2019.
https://arxiv.org/abs/1903.11366

6. Mathias Jacquelin, Esmond G. Ng, and Barry W. Peyton, Fast and effective reordering of columns within supernodes using partition refinement, in 2018 ​Proceedings of the Eighth SIAM Workshop on Combinatorial Scientific Computing​ , eds. Fredrik Manne, Peter Sanders, and Sivan Toledo. SIAM (2018). https://doi.org/10.1137/1.9781611975215.8

7. N. Neveu, S. Hudson, J. Larson, and L. Spentzouris. Comparison of model-based and heuristic optimization algorithms applied to photoinjectors using libEnsemble. Proceedings of the 13th International Computational Accelerator Physics Conference​ . 2019, pp. 22–24. doi:10.18429/JACoW-ICAP2018-SAPAF03.
http://accelconf.web.cern.ch/AccelConf/icap2018/doi/JACoW-ICAP2018-SAPAF03.html

8. N. Neveu, J. Larson, J. Power, and L. Spentzouris. Photoinjector optimization studies at the AWA. ​Proceedings of the 9th International Particle Accelerator Conference​ . 2018, pp. 4169–4171. doi:10.18429/JACoW-IPAC2018-THPMF049.
http://accelconf.web.cern.ch/AccelConf/ipac2018/doi/JACoW-IPAC2018-THPMF049.html

9. N. Neveu, J. Larson, J. G. Power, and L. Spentzouris. Photoinjector optimization using a derivative-free, model-based trust-region algorithm for the Argonne Wakefield Accelerator. ​Journal of Physics: Conference Series​ 874, 2017, p. 012062.
doi:10.1088/1742-6596/874/1/012062.
https://iopscience.iop.org/article/10.1088/1742-6596/874/1/012062

10. N. Wycoff, M. Binois, and S. M. Wild. Sequential learning of active subspaces. Preprint ANL/MCS-P9196-0719, Argonne National Laboratory, 2019.
https://arxiv.org/abs/1907.11572

11. L. Hildebrand, W. An, X. L. Xu, F. Li, Y. Zhao, M. J. Hogan, V. Yakimenko, S. S. Nagaitsev, E. Adli, C. Joshi, W. B. Mori, “Mitigation Techniques for Witness Beam Hosing in Plasma-Based Acceleration”, ​Proc. IEEE 2018 Advanced Accelerator Concepts Workshop​ (2018). https://ieeexplore.ieee.org/abstract/document/8659396/