Newton-type methods for optimization and variational problems [electronic resource]
- 作者： Izmailov, Alexey F.
- 其他作者：
- 其他題名：
- Springer series in operations research and financial engineering
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Springer series in operations research and financial engineering
- 主題： Calculus of variations , Mathematical optimization , Iterative methods (Mathematics) , Mathematics , Operations Research, Management Science. , Continuous Optimization. , Optimization.
- ISBN： 9783319042473 (electronic bk.) 、 9783319042466 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
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讀者標籤：
- 系統號： 005114007 | 機讀編目格式
館藏資訊
This book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and variational problems. A central focus is the relationship between the basic Newton scheme for a given problem and algorithms that also enjoy fast local convergence. The authors develop general perturbed Newtonian frameworks that preserve fast convergence and consider specific algorithms as particular cases within those frameworks, i.e., as perturbations of the associated basic Newton iterations. This approach yields a set of tools for the unified treatment of various algorithms, including some not of the Newton type per se. Among the new subjects addressed is the class of degenerate problems. In particular, the phenomenon of attraction of Newton iterates to critical Lagrange multipliers and its consequences as well as stabilized Newton methods for variational problems and stabilized sequential quadratic programming for optimization. This volume will be useful to researchers and graduate students in the fields of optimization and variational analysis.