Abstract
This is a textbook about linear and integer linear optimization. The major goal is to develop the theory of linear and integer linear optimization in a unified manner and then demonstrate how to use this theory to solve very large real world problems. No prior knowledge of these topics is assumed, although this text is written for a mathematically mature audience. Our target audience is upper level undergraduate students and graduate students in computer science, applied mathematics, industrial engineering and operations research/management science. Coursework in linear algebra and analysis is sufficient background. Researchers wishing to brush up on recent developments in large scale linear and integer linear optimization will also find this text useful.
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© 1999 Springer Science+Business Media New York
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Martin, R.K. (1999). Linear and Integer Linear Optimization. In: Large Scale Linear and Integer Optimization: A Unified Approach. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4975-8_1
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DOI: https://doi.org/10.1007/978-1-4615-4975-8_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7258-5
Online ISBN: 978-1-4615-4975-8
eBook Packages: Springer Book Archive