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Large Scale Linear and Integer Optimization: A Unified Approach | 
 enlarge | Author: Richard Kipp Martin
Publisher: Springer
Category: Book
List Price: $259.00
Buy New: $236.75
You Save: $22.25 (9%)
New (13) Used (6) from $199.95
Rating:  1 reviews
Sales Rank: 872002
Media: Hardcover
Edition: 1
Pages: 764
Number Of Items: 1
Shipping Weight (lbs): 2.6
Dimensions (in): 9.6 x 6.3 x 1.9
ISBN: 0792382021
Dewey Decimal Number: 519.72
EAN: 9780792382027
Publication Date: November 30, 1998
Availability: Usually ships in 24 hours
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Product Description
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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| Customer Reviews:
Original and highly intuitive contribution to the field November 11, 2000
Peter Cacioppi - Sr. Software Developer LogicTools Inc. (Eugene, OR USA)
1 out of 1 found this review helpful
The concepts of projection and inverse projection represent a highly original and intuitive contribution to the study of linear and mixed integer programming. These ideas allow Prof. Martin to explore a challenging subject in a manner that is clear and easy to understand. This text is usefull both to the novice looking for an introduction to mathematical optimzation and to the expert interested in exploring a novel approach to the field.I was especially impressed with the material on how degeneracy can be handled with the Simplex method. The book presents a fascinating twist on Bland's classic row selection rule.
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