Linear and integer optimization : theory and practice / Gerard Sierksma, Yori Zwols.
Presenting a strong and clear relationship between theory and practice, Linear and Integer Optimization: Theory and Practice is divided into two main parts. The first covers the theory of linear and integer optimization, including both basic and advanced topics. Dantzig's simplex algorithm, dua...
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Online Access: |
Full Text (via Taylor & Francis) |
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Main Authors: | , |
Format: | eBook |
Language: | English |
Published: |
Boca Raton :
Chapman & Hall/CRC,
[2015]
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Edition: | 3rd edition. |
Series: | Advances in applied mathematics.
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Subjects: |
Summary: | Presenting a strong and clear relationship between theory and practice, Linear and Integer Optimization: Theory and Practice is divided into two main parts. The first covers the theory of linear and integer optimization, including both basic and advanced topics. Dantzig's simplex algorithm, duality, sensitivity analysis, integer optimization models, and network models are introduced. |
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Physical Description: | 1 online resource : text file, PDF. |
Bibliography: | Includes bibliographical references (pages 639-644) and indexes. |
ISBN: | 9781498743129 1498743129 |