株式会社極東書店トップ > 商品一覧 > Numerical Optimization Techniques. Softcover reprint of the original 1st ed. 1985
商品詳細
Numerical Optimization Techniques. Softcover reprint of the original 1st ed. 1985
・ISBN 978-1-4612-9530-3 paper EUR 49.99
¥13,361.- (税込) ※(※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
お気に入り
★★★
| 著者・編者 | Evtushenko, Yurij G. / Stoer, J. (ed.), |
|---|---|
| シリーズ | (Translations Series in Mathematics and Engineering) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2012 |
| ページ数 | 562 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-51306> |
解説
The book of Professor Evtushenko describes both the theoretical foundations and the range of applications of many important methods for solving nonlinear programs. Particularly emphasized is their use for the solution of optimal control problems for ordinary differential equations. These methods were instrumented in a library of programs for an interactive system (DISO) at the Computing Center of the USSR Academy of Sciences, which can be used to solve a given complicated problem by a combination of appropriate methods in the interactive mode. Many examples show the strong as well the weak points of particular methods and illustrate the advantages gained by their combination. In fact, it is the central aim of the author to pOint out the necessity of using many techniques interactively, in order to solve more dif- ficult problems. A noteworthy feature of the book for the Western reader is the frequently unorthodox analysis of many known methods in the great tradition of Russian mathematics. J. Stoer PREFACE Optimization methods are finding ever broader application in sci- ence and engineering. Design engineers, automation and control systems specialists, physicists processing experimental data, eco- nomists, as well as operations research specialists are beginning to employ them routinely in their work. The applications have in turn furthered vigorous development of computational techniques and engendered new directions of research. Practical implementa- tion of many numerical methods of high computational complexity is now possible with the availability of high-speed large-memory digital computers.