5. Bibliography

[1]

Kamil A. Khan, Jeffrey Larson, and Stefan 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. URL: https://doi.org/10.1137/17M114741X, doi:10.1137/17M114741X.

[2]

M. Kortelainen, T. Lesinski, J. J. More, W. Nazarewicz, J. Sarich, N. Schunck, M. V. Stoitsov, and S. M. Wild. Nuclear energy density optimization. Phys. Rev. C, 82(2):024313, 2010. URL: https://link.aps.org/doi/10.1103/PhysRevC.82.024313, doi:10.1103/PhysRevC.82.024313.

[3]

Jeffrey Larson and Matt Menickelly. Structure-aware methods for expensive derivative-free nonsmooth composite optimization. Mathematical Programming Computation, 16:1–36, 2024. URL: https://doi.org/10.1007/s12532-023-00245-5, arXiv:2207.08264, doi:10.1007/s12532-023-00245-5.

[4]

Jeffrey Larson, Matt Menickelly, and Stefan M. Wild. Manifold sampling for $\ell _1$ nonconvex optimization. SIAM Journal on Optimization, 26(4):2540–2563, 2016. URL: https://doi.org/10.1137/15M1042097, doi:10.1137/15M1042097.

[5]

Jeffrey Larson, Matt Menickelly, and Baoyu Zhou. Manifold sampling for optimizing nonsmooth nonconvex compositions. SIAM Journal on Optimization, 31(4):2638–2664, 2021. URL: https://doi.org/10.1137/20M1378089, doi:10.1137/20M1378089.

[6]

Stefan M. Wild. POUNDERS in TAO: Solving Derivative-Free Nonlinear Least-Squares Problems with POUNDERS, chapter 40, pages 529–539. Society for Industrial and Applied Mathematics, Philadelphia, PA, 2017. URL: https://epubs.siam.org/doi/abs/10.1137/1.9781611974683.ch40, doi:10.1137/1.9781611974683.ch40.

[7]

R. S. Womersley. Censored discrete linear $l_1$ approximation. SIAM Journal on Scientific and Statistical Computing, 7(1):105–122, 1986. URL: https://doi.org/10.1137/0907008, doi:10.1137/0907008.