Elementary Linear Programming with Applications
Bernard Kolman, Robert E. Beck
Language: English
Published by Elsevier Science Publishing Co Inc, US, 1995
Series: Book 2 of 3 - Computer Science and Scientific Computing
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 160.45
Quantity: 1 available
Add to basketItem description from seller
Linear programming finds the least expensive way to meet given needs with available resources. Its results are used in every area of engineering and commerce: agriculture, oil refining, banking, and air transport. Authors Kolman and Beck present the basic notions of linear programming and illustrate how they are used to solve important common problems. The software on the included disk leads students step-by-step through the calculations. The Second Edition is completely revised and provides additional review material on linear algebra as well as complete coverage of elementary linear programming. Other topics covered include: the Duality Theorem; transportation problems; the assignment problem; and the maximal flow problem. New figures and exercises are provided and the authors have updated all computer applications.
Seller Inventory # LU-9780124179103
- Title
- Elementary Linear Programming with Applications
- Author
- Bernard Kolman, Robert E. Beck
- Publisher
- Elsevier Science Publishing Co Inc, US
- Publication year
- 1995
- Condition
- New
- Binding
- Mixed Media Product
- Language
- English
- ISBN 10
- 012417910X
- ISBN 13
- 9780124179103
- Edition
- 2nd Edition
- Item weight
- 840 grams
- Series
- Book 2 of 3: Computer Science and Scientific Computing
Linear programming finds the least expensive way to meet given needs with available resources. Its results are used in every area of engineering and commerce: agriculture, oil refining, banking, and air transport. Authors Kolman and Beck present the basic notions of linear programming and illustrate how they are used to solve important common problems. The software on the included disk leads students step-by-step through the calculations.
The Second Edition is completely revised and provides additional review material on linear algebra as well as complete coverage of elementary linear programming. Other topics covered include: the Duality Theorem; transportation problems; the assignment problem; and the maximal flow problem. New figures and exercises are provided and the authors have updated all computer applications.
- More review material on linear algebra
- Elementary linear programming covered more efficiently
- Presentation improved, especially for the duality theorem, transportation problems, the assignment problem, and the maximal flow problem
- New figures and exercises
- Computer applications updated
- New guide to inexpensive linear programming software for personal computers
"Synopsis" may belong to another edition of this title.
From the Back Cover
Linear programming finds the least expensive way to meet given needs with available resources. Its results are used in every area of engineering and commerce; including agriculture, oil refining, banking, and air transport. Authors Kolman and Beck present the basic notions of linear programming and illustrate how they are used to solve important common problems. The software on the included disk leads students through the calculations.Students in quantitative fields, or students in business who want a quantitative approach, will find that the Second Edition has been completely revised to give an orderly introduction to the basic ideas in linear programming. Appropriate review material on linear algebra is included. Other topics covered include the Duality Theorem, the transportation problem, the assignment problem, and the maximal flow problem. New figures and exercises are provided and the authors have updated all computer applications. An appendix, new to this edition, provides a brief introduction to the Kamarkar algorithm.
"About the title" may belong to another edition of this title.
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