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- Title
一个新的对于无约束非凸优化问题渐近的算法.
- Authors
陈汝栋; 吴成玉
- Abstract
For the optimization of nonconvex functions in mathematical programming, according to the known convex function optimization results and the corresponding algorithm, a new improved asymptotic algorithmis constructed, and by using Kurdyka-Lojasiewicz property, the convergence analysis of unconstrained nonconvex optimization problems for real lower semicontinuous nonconvex functions is considered. The sequence generated by the improved asymptotic algorithm has finite length and converges to a critical point of the function are obtained. Meanwhile, the result representation of the convergence rate of the sequence is given.
- Publication
Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao, 2018, Vol 31, Issue 1, p55
- ISSN
1006-8341
- Publication type
Article
- DOI
10.13338/j.issn.1006-8341.2018.01.010