Linear Programming: An Introduction to Finite Improvement Algorithms

Linear Programming: An Introduction to Finite Improvement Algorithms
Author: Daniel Solow
Publisher: Courier Corporation
Total Pages: 434
Release: 2014-10-15
Genre: Mathematics
ISBN: 0486493768


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This text covers the basic theory and computation for a first course in linear programming, including substantial material on mathematical proof techniques and sophisticated computation methods. Includes Appendix on using Excel. 1984 edition.


Linear Programming: An Introduction to Finite Improvement Algorithms
Language: en
Pages: 434
Authors: Daniel Solow
Categories: Mathematics
Type: BOOK - Published: 2014-10-15 - Publisher: Courier Corporation

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This text covers the basic theory and computation for a first course in linear programming, including substantial material on mathematical proof techniques and
Linear Programming
Language: en
Pages: 392
Authors: Daniel Solow
Categories: Mathematics
Type: BOOK - Published: 1984-01-01 - Publisher: North Holland

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Linear Programming: An Introduction to Finite Improvement Algorithms
Language: en
Pages: 432
Authors: Daniel Solow
Categories: Mathematics
Type: BOOK - Published: 2014-08-11 - Publisher: Courier Corporation

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This text covers the basic theory and computation for a first course in linear programming, including substantial material on mathematical proof techniques and
Linear Programming: Mathematics, Theory and Algorithms
Language: en
Pages: 502
Authors: M.J. Panik
Categories: Mathematics
Type: BOOK - Published: 2013-12-01 - Publisher: Springer Science & Business Media

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Linear Programming provides an in-depth look at simplex based as well as the more recent interior point techniques for solving linear programming problems. Star
Understanding and Using Linear Programming
Language: en
Pages: 230
Authors: Jiri Matousek
Categories: Mathematics
Type: BOOK - Published: 2007-07-04 - Publisher: Springer Science & Business Media

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The book is an introductory textbook mainly for students of computer science and mathematics. Our guiding phrase is "what every theoretical computer scientist s