Computational Mathematical Programming / edited by Klaus Schittkowski
(NATO ASI Series, Series F: Computer and Systems Sciences ; 15)
| データ種別 | 電子ブック |
|---|---|
| 出版情報 | Berlin, Heidelberg : Springer Berlin Heidelberg , 1985 |
| 本文言語 | 英語 |
| 大きさ | VIII, 451 p : online resource |
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| 別書名 | 異なりアクセスタイトル:Proceedings of the NATO Advanced Study Institute on Computational Mathematical Programming, Held at Bad Windsheim, Federal Republic of Germany, July 23 - August 2, 1984 |
|---|---|
| 内容注記 | Integer Programming Model Building in Linear and Integer Programming LP-Based Combinatorial Problem Solving Network Optimization Reflections on Geometric Programming Principles of Sequential Quadratic Programming Methods for Solving Nonlinear Programs Model Building and Practical Aspects of Nonlinear Programming Comparative Performance Evaluation, Experimental Design, and Generation of Test Problems in Nonlinear Optimization On Converting Optimal Control Problems into Nonlinear Programming Problems A Stochastic Approach to Global Optimization Algorithmic Procedures for Stochastic Optimization Nondifferentiable Optimization Parallel Computing in Optimization Software for Mathematical Programming |
| 一般注記 | This book contains the written versions of main lectures presented at the Advanced Study Institute (ASI) on Computational Mathematical Programming, which was held in Bad Windsheim, Germany F. R., from July 23 to August 2, 1984, under the sponsorship of NATO. The ASI was organized by the Committee on Algorithms (COAL) of the Mathematical Programming Society. Co-directors were Karla Hoffmann (National Bureau of Standards, Washington, U.S.A.) and Jan Teigen (Rabobank Nederland, Zeist, The Netherlands). Ninety participants coming from about 20 different countries attended the ASI and contributed their efforts to achieve a highly interesting and stimulating meeting. Since 1947 when the first linear programming technique was developed, the importance of optimization models and their mathematical solution methods has steadily increased, and now plays a leading role in applied research areas. The basic idea of optimization theory is to minimize (or maximize) a function of several variables subject to certain restrictions. This general mathematical concept covers a broad class of possible practical applications arising in mechanical, electrical, or chemical engineering, physics, economics, medicine, biology, etc. There are both industrial applications (e.g. design of mechanical structures, production plans) and applications in the natural, engineering, and social sciences (e.g. chemical equilibrium problems, christollography problems) |
| 著者標目 | Schittkowski, Klaus editor SpringerLink (Online service) |
| 件 名 | LCSH:Mathematics LCSH:Operations research LCSH:Decision making LCSH:Numerical analysis FREE:Mathematics FREE:Numerical Analysis FREE:Operation Research/Decision Theory |
| 分 類 | DC23:518 |
| 巻冊次 | ISBN:9783642824500 
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| ISBN | 9783642824500 |
| URL | http://dx.doi.org/10.1007/978-3-642-82450-0 |
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