| 書目名稱 | Numerical Optimization | | 編輯 | Jorge Nocedal,Stephen J. Wright | | 視頻video | http://file.papertrans.cn/670/669147/669147.mp4 | | 概述 | A comprehensive and up-to-date description of the most effective methods in continuous optimization.Responds to the growing interest in optimization in engineering, science, and business.Updated throu | | 叢書名稱 | Springer Series in Operations Research and Financial Engineering | | 圖書封面 |  | | 描述 | This is a book for people interested in solving optimization problems. Because of the wide (and growing) use of optimization in science, engineering, economics, and industry, it is essential for students and practitioners alike to develop an understanding of optimization algorithms. Knowledge of the capabilities and limitations of these algorithms leads to a better understanding of their impact on various applications, and points the way to future research on improving and extending optimization algorithms and software. Our goal in this book is to give a comprehensive description of the most powerful, state-of-the-art, techniques for solving continuous optimization problems. By presenting the motivating ideas for each algorithm, we try to stimulate the reader’s intuition and make the technical details easier to follow. Formal mathematical requirements are kept to a minimum. Because of our focus on continuous problems, we have omitted discussion of important optimization topics such as discrete and stochastic optimization. | | 出版日期 | Textbook 19991st edition | | 關(guān)鍵詞 | Quasi-Newton method; algorithms; linear optimization; nonlinear optimization; optimization; quadratic pro | | 版次 | 1 | | doi | https://doi.org/10.1007/b98874 | | isbn_ebook | 978-0-387-22742-9Series ISSN 1431-8598 Series E-ISSN 2197-1773 | | issn_series | 1431-8598 | | copyright | Springer Science+Business Media New York 1999 |
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