Large Scale Linear and Integer Optimization 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Large Scale Linear and Integer Optimization

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Martin, Richard Kipp 作者
Kluwer Academic Pub
譯者
1998-11 出版日期
757 頁數
$ 473.47 價格
HRD
叢書系列
9780792382027 圖書編碼

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Large Scale Linear and Integer Optimization 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Large Scale Linear and Integer Optimization 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Large Scale Linear and Integer Optimization 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Large Scale Linear and Integer Optimization 在線電子書 用戶評價

評分

This book provides a unified explanation for LP and IP. It's generally well written.

評分

This book provides a unified explanation for LP and IP. It's generally well written.

評分

This book provides a unified explanation for LP and IP. It's generally well written.

評分

This book provides a unified explanation for LP and IP. It's generally well written.

評分

This book provides a unified explanation for LP and IP. It's generally well written.

Large Scale Linear and Integer Optimization 在線電子書 著者簡介


Large Scale Linear and Integer Optimization 在線電子書 著者簡介


Large Scale Linear and Integer Optimization 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Large Scale Linear and Integer Optimization 在線電子書 圖書描述

There is a growing need in major industries such as airline, trucking, financial engineering, etc. to solve very large linear and integer linear optimization problems. Because of the dramatic increase in computing power, it is now possible to solve these problems. Along with the increase in computer power, the mathematical programming community has developed better and more powerful algorithms to solve very large problems. These algorithms are of interest to many researchers in the areas of operations research/management science, computer science, and engineering. In this book, Kipp Martin has systematically provided users with a unified treatment of the algorithms and the implementation of the algorithms that are important in solving large problems. Parts I and II of Large Scale Linear and Integer Programming provide an introduction to linear optimization using two simple but unifying ideas-projection and inverse projection. The ideas of projection and inverse projection are also extended to integer linear optimization. With the projection-inverse projection approach, theoretical results in integer linear optimization become much more analogous to their linear optimization counterparts. Hence, with an understanding of these two concepts, the reader is equipped to understand fundamental theorems in an intuitive way. Part III presents the most important algorithms that are used in commercial software for solving real-world problems. Part IV shows how to take advantage of the special structure in very large scale applications through decomposition. Part V describes how to take advantage of special structureby modifying and enhancing the algorithms developed in Part III. This section contains a discussion of the current research in linear and integer linear programming. The author also shows in Part V how to take different problem formulations and appropriately 'modify' them so that the algorithms from Part III are more efficient. Again, the projection and inverse projection concepts are used in Part V to present the current research in linear and integer linear optimization in a very unified way. While the book is written for a mathematically mature audience, no prior knowledge of linear or integer linear optimization is assumed. The audience is upper-level undergraduate students and graduate students in computer science, applied mathematics, industrial engineering and operations research/management science. Course work in linear algebra and analysis is sufficient background.

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