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Algorithmic Principles of Mathematical Programming
Hardback

Algorithmic Principles of Mathematical Programming

$276.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

This title investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. Aiming to provide an introduction to the topic, the text requires only basic pre-requisites. Rather than attempting to be encyclopedic, it illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature.

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MORE INFO
Format
Hardback
Publisher
Springer-Verlag New York Inc.
Country
United States
Date
31 August 2002
Pages
339
ISBN
9781402008528

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

This title investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. Aiming to provide an introduction to the topic, the text requires only basic pre-requisites. Rather than attempting to be encyclopedic, it illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature.

Read More
Format
Hardback
Publisher
Springer-Verlag New York Inc.
Country
United States
Date
31 August 2002
Pages
339
ISBN
9781402008528