A derivative-free algorithm for spherically constrained optimization
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s10898-020-00875-2.pdf
Reference48 articles.
1. Audet, C., Hare, W.: Derivative-Free and Blackbox Optimization. Springer, Berlin (2017)
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3. Chang, J., Chen, Y., Qi, L.: Computing eigenvalues of large scale sparse tensors arising from a hypergraph. SIAM J. Sci. Comput. 38, A3618–A3643 (2016)
4. Chen, Y., Qi, L., Wang, Q.: Computing extreme eigenvalues of large scale Hankel tensors. J. Sci. Comput. 68, 716–738 (2016)
5. Chen, Y., Qi, L., Zhang, X.: The Fiedler vector of a Laplacian tensor for hypergraph partitioning. SIAM J. Sci. Comput. 39, A2508–A2537 (2017)
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