Modified gradient sampling algorithm for nonsmooth semi-infinite programming-Reference-Cited by-同舟云学术

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Modified gradient sampling algorithm for nonsmooth semi-infinite programming

Published:2023-11-22 Issue:6 Volume:69 Page:4425-4450
ISSN:1598-5865
Container-title:Journal of Applied Mathematics and Computing
language:en
Short-container-title:J. Appl. Math. Comput.

Author:

Shang Tianyou,Su Ke,Zhao Bing,Wei Yanshu

Funder

Natural Science Foundation of Hebei Province

Hebei Province Graduate Innovation Funding Project

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s12190-023-01928-x.pdf

Reference30 articles.

1. Charnes, A., Cooper, W.W., Kortanek, K.: Duality in semi-infinite programs and some works of Haar and Carathéodory. Manag. Sci. 9, 209–228 (1963)

2. Charnes, A., Cooper, W.W., Kortanek, K.O.: On the theory of semi-infinite programming and a generalization of the Kuhn–Tucker saddle point theorem for arbitrary convex functions. Nav. Res. Log. 16, 41–52 (1969)

3. Charnes, A., Cooper, W.W., Kortanek, K.: Duality, Haar programs, and finite sequence spaces. Proc. Natl. Acad. Sci. USA 48, 783–786 (1962)

4. Dam, H.H., Teo, K.L., Nordebo, S.: The dual parameterization approach to optimal least square FIR filter design subject to maximum error constraints. IEEE Trans. Signal Process. 48, 2314–2320 (2000)

5. Liu, Z., Gong, Y.H.: Semi-infinite quadratic optimisation method for the design of robust adaptive array processors. IEE Proc. F Radar Signal Process. IET Digit. Library 137, 177–182 (1990)

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