书目名称 | Introduction to Methods for Nonlinear Optimization |
编辑 | Luigi Grippo,Marco Sciandrone |
视频video | |
概述 | Can be used at both the undergraduate and graduate level.Organizes several key topics into teaching units.Offers novel topics in nonlinear optimization |
丛书名称 | UNITEXT |
图书封面 |  |
描述 | .This book has two main objectives:. • to provide a concise introduction to nonlinear optimization methods, which can be used as a textbook at a graduate or upper undergraduate level;. • to collect and organize selected important topics on optimization algorithms, not easily found in textbooks, which can provide material for advanced courses or can serve as a reference text for self-study and research.. The basic material on unconstrained and constrained optimization is organized into two blocks of chapters: . • basic theory and optimality conditions. • unconstrained and constrained algorithms.. These topics are treated in short chapters that contain the most important results in theory and algorithms, in a way that, in the authors’ experience, is suitable for introductory courses. . A third block of chapters addresses methods that are of increasing interest for solving difficult optimization problems. Difficulty can be typically due to the high nonlinearity of the objective function, ill-conditioning of the Hessian matrix, lack of information on first-order derivatives, the need to solve large-scale problems. . In the book various key subjects are addressed, including: exa |
出版日期 | Textbook 2023 |
关键词 | Optimization; Nonlinear Programming; Operations Research; Computational methods; Nonlinear equations |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-26790-1 |
isbn_softcover | 978-3-031-26789-5 |
isbn_ebook | 978-3-031-26790-1Series ISSN 2038-5714 Series E-ISSN 2532-3318 |
issn_series | 2038-5714 |
copyright | Springer Nature Switzerland AG 2023 |