This self-contained book is designed to provide a novel insight into optimization on discrete structures and should reveal unexpected links among different disciplines. It provides the information that professionals in optimization will need to 'catch up' with new theoretical developments.
This self-contained book is designed to provide a novel insight into optimization on discrete structures and should reveal unexpected links among different disciplines. It provides the information that professionals in optimization will need to 'catch up' with new theoretical developments.
List of Figures Notation Preface 1. Introduction to the Central Concepts 2. Convex Functions with Combinatorial Structures 3. Convex Analysis, Linear Programming, and Integrality 4. M-Convex Sets and Submodular Set Functions 5. L-Convex Sets and Distance Functions 6. M-Convex Functions 7. L-Convex Functions 8. Conjugacy and Duality 9. Network Flows 10. Algorithms 11. Application to Mathematical Economics 12. Application to Systems Analysis by Mixed Matrices Bibliography Index..
List of Figures Notation Preface 1. Introduction to the Central Concepts 2. Convex Functions with Combinatorial Structures 3. Convex Analysis, Linear Programming, and Integrality 4. M-Convex Sets and Submodular Set Functions 5. L-Convex Sets and Distance Functions 6. M-Convex Functions 7. L-Convex Functions 8. Conjugacy and Duality 9. Network Flows 10. Algorithms 11. Application to Mathematical Economics 12. Application to Systems Analysis by Mixed Matrices Bibliography Index..
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