| 书目名称 | Modern Numerical Nonlinear Optimization |
| 编辑 | Neculai Andrei |
| 视频video | |
| 概述 | Nonlinear optimization algorithms for solving large-scale unconstrained and constrained optimization applications.Optimization methods that are currently the most valuable for solving real-life proble |
| 丛书名称 | Springer Optimization and Its Applications |
| 图书封面 |  |
| 描述 | .This book includes a thorough theoretical and computational analysis of unconstrained and constrained optimization algorithms and combines and integrates the most recent techniques and advanced computational linear algebra methods. Nonlinear optimization methods and techniques have reached their maturity and an abundance of optimization algorithms are available for which both the convergence properties and the numerical performances are known. This clear, friendly, and rigorous exposition discusses the theory behind the nonlinear optimization algorithms for understanding their properties and their convergence, enabling the reader to prove the convergence of his/her own algorithms. It covers cases and computational performances of the most known modern nonlinear optimization algorithms that solve collections of unconstrained and constrained optimization test problems with different structures, complexities, as well as those with large-scale real applications.. The book is addressed to all those interested in developing and using new advanced techniques for solving large-scale unconstrained or constrained complex optimization problems. Mathematical programming researchers, theoretic |
| 出版日期 | Book 2022 |
| 关键词 | unconstrained optimization; stepsize computation; steepest descent method; Newton method; conjugate grad |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-08720-2 |
| isbn_softcover | 978-3-031-08722-6 |
| isbn_ebook | 978-3-031-08720-2Series ISSN 1931-6828 Series E-ISSN 1931-6836 |
| issn_series | 1931-6828 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:41:59
