A Gradient Sampling Method Based on Ideal Direction for Solving Nonsmooth Optimization Problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Link
https://link.springer.com/content/pdf/10.1007/s10957-020-01740-8.pdf
Reference22 articles.
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3. Kiwiel, K.C.: A nonderivative version of the gradient sampling algorithm for nonsmooth nonconvex optimization. SIAM J. Optim. 20(4), 1983–1994 (2010)
4. Curtis, F.E., Que, X.: An adaptive gradient sampling algorithm for nonconvex nonsmooth optimization. Optim. Methods Softw. 28(6), 1302–1324 (2013)
5. Curtis, F.E., Overton, M.L.: A sequential quadratic programming algorithm for nonconvex, nonsmooth constrained optimization. SIAM J. Optim. 22(2), 474–500 (2012)
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