Integer and mixed programming theory and applications
Integer and mixed programming : theory and applications
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Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
New York
Academic Press
1977, 1977
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Series: | Mathematics in science and engineering
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Online Access: | |
Collection: | Elsevier eBook collection Mathematics - Collection details see MPG.ReNa |
Table of Contents:
- Front Cover; Integer and Mixed Programming: Theory and Applications; Copyright Page; Contents; Preface; Part I: METHODS AND MODELS; Chapter I. PROGRAMS WITH INTEGER AND MIXED VALUES; Section 1. Introduction; Section 2. Some Examples of Problems with Integer Solutions; Section 3. Boole's Binary Algebra; Section 4. Methods of Solving Programs with Integer Values; Section 5. Some More Complicated Examples of Problems with Integer Values; Section 6. Arborescent and Cut Methods for Solving Programs with Integer Values; Section 7. Programs with Mixed Numbers; Section 8. Practical Cases
- Includes bibliographical references (pages 370-373) and index
- Section 18. Solving Linear Equations with IntegersSection 19. Gomory's Method for Solving Integer Programs; Supplement. MIXED PROGRAMMING AND RECENT METHODS OF INTEGER PROGRAMMING; Section 20. Asymptotic Programming in Integers; Section 21. Partition of Linear Programs into Mixed Numbers; Section 22. Mixed Programming on a Cone; Section 23. Trubin's Algorithm; Conclusion; Appendix: OPERATIONS ON MODULO 1 EQUATIONS; Bibliography; Index
- Part 2: MATHEMATICAL THEORYChapter II. ALGORITHMS AND HEURISTICS FOR INTEGER OR MIXED PROGRAMS; Section 9. Introduction; Section 10. Mathematical Properties of Boole's Binary Algebra; Section 11. Lattice Theory; Section 12. Other Important Properties of Boole's Binary Algebra; Section 13. Solutions for Boolean Equations and Inequations; Section 14. Mathematical Properties of Programming with Integers; Section 15. Properties of the Optimums of Convex and Concave Functions; Section 16. Complements on the Theory of Linear Programming; Section 17. Programming Method of Dantzig and Manne