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3. Circulation theorem

  • Lester Randolph Ford and D. R. Fulkerson
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Flows in Networks
This chapter is in the book Flows in Networks
© 2024 Princeton University Press, Princeton

© 2024 Princeton University Press, Princeton

Chapters in this book

  1. Frontmatter i
  2. CONTENTS vii
  3. Foreword to the 2010 edition ix
  4. PREFACE xvii
  5. ACKNOWLEDGMENTS xix
  6. CHAPTER I STATIC MAXIMAL FLOW
  7. Introduction 1
  8. 1. Networks 2
  9. 2. Flows in networks 4
  10. 3. Notation 9
  11. 4. Cuts 10
  12. 5. Maximal flow 11
  13. 6. Disconnecting sets and cuts 14
  14. 7. Multiple sources and sinks 15
  15. 8. The labeling method for solving maximal flow problems 17
  16. 9. Lower bounds on arc flows 22
  17. 10. Flows in undirected and mixed networks 23
  18. 11. Node capacities and other extensions 23
  19. 12. Linear programming and duality principles 26
  20. 13. Maximal flow value as a function of two arc capacities 30
  21. References 35
  22. CHAPTER II FEASIBILITY THEOREMS AND COMBINATORIAL APPLICATIONS
  23. Introduction 36
  24. 1. A supply-demand theorem 36
  25. 2. A symmetric supply-demand theorem 42
  26. 3. Circulation theorem 50
  27. 4. The König-Egerváry and Menger graph theorems 53
  28. 5. Construction of a maximal independent set of admissible cells 55
  29. 6. A bottleneck assignment problem 57
  30. 7. Unicursal graphs 59
  31. 8. Dilworth's chain decomposition theorem for partially ordered sets 61
  32. 9. Minimal number of individuals to meet a fixed schedule of tasks 64
  33. 10. Set representatives 67
  34. 11. The subgraph problem for directed graphs 75
  35. 12. Matrices composed of O's and l's 79
  36. References 91
  37. CHAPTER III MINIMAL COST FLOW PROBLEMS
  38. Introduction 93
  39. 1. The Hitchcock problem 95
  40. 2. The optimal assignment problem [56, 57, 60, 61, 68, 69] 111
  41. 3. The general minimal cost flow problem 113
  42. 4. Equivalence of Hitchcock and minimal cost flow problems 127
  43. 5. A shortest chain algorithm 130
  44. 6. The minimal cost supply-demand problem: non-negative directed cycle costs 134
  45. 7. The warehousing problem 137
  46. 8. The caterer problem 140
  47. 9. Maximal dynamic flow 142
  48. 10. Project cost curves 151
  49. 11. Constructing minimal cost circulations [28] 162
  50. References 169
  51. CHAPTER IV MULTI-TERMINAL MAXIMAL FLOWS
  52. Introduction 173
  53. 1. Forests, trees, and spanning subtrees 173
  54. 2. Realization conditions 176
  55. 3. Equivalent networks 177
  56. 4. Network synthesis 187
  57. References 191
  58. INDEX 193
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