Book (Practical) Mathematics Network Flow Algorithm / D. P. Williamson / Takao Asano

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Mathematics
[Introduction to Contents]
[Introduction to Contents]
[Introduction to Contents]
[Introduction to Contents]
[Introduction]
[Introduction]
[Introduction]
[Introduction]
[Introduction]
[Introduction]
[Introduction]
[Introduction]
[Introduction]
[Introduction]
Appreciation
Introduction to the Japanese version
Introduction to the Japanese version
List of Algorithms
Introduction to the Japanese Version
Introduction to the Japanese Version
List of Algorithms
Introduction to the Japanese Version
Overview of the Shortest Path Algorithm
1.1 All edges are non-negative cost : Dijkstra's algorithm
1.2 Some edges are negative cost : Bellman? Ford algorithm
1.3 Detection of a negative cost closure
Exercise questions
2.1 Optimality condition
2.2 Application 1 : Ride-sharing allocation problem
<> End-of-Chapter Notes
Chapter 5 Minimum Cost Circular Flow Algorithm
5.1 OptimalIty Condition
5.2 Wallacher Algorithm
5.3 Minimum Average Length Closed-Loop Erasure Algorithm
5.4 Capacity Scaling Algorithm
5.5 Successive Approximation Algorithm
5.6 Network Simplex Method
5.7 Applications : Maximum Time-Varying Flow
6.1 OptimalIty Condition
6.2 Wallacher Form GAP-Erasure Algorithm
6.3 Negative Cost Cost GAP Detection
6.4 Loss Graph and Truemper Algorithm and Gain Scaling
6.5 Error Scaling
7.3 End-of-Chapter Notes
Chapter 8 Multi-Variety Flow Algorithm
7.1 OptimalIty Condition
8.2 Undirected Maximum Flow
8.3 Graph Sparsity
8.4 Simple Lapla Shea Solver
Exercise Questions
End-of-Chapter Notes
nemann 2.7 2.8 3.1 3.2 3.3 3.4 4.1 4.2 4.3 7.2 7.4 7.5 8.1 2.3 2.4 2.5 2.6 Gomory Awerbuch