'Flow augmenting path' presentation slideshows

Dinitz Algorithm: The Original Version & Even's Version

Dinitz Algorithm: The Original Version & Even's Version. Presentation By: Ilan Orlov. The max-flow problem Defined on a capacitated directed graph G=(V,E,c). The capacities are non-negative. 1. 1. 1. 1. 1. s. t. 2. 1. 1. 1. G.

683 views • 53 slides

Dinitz Algorithm: The Original Version & Even's Version

Dinitz Algorithm: The Original Version & Even's Version. Presentation By: Ilan Orlov. The max-flow problem Defined on a capacitated directed graph G=(V,E,c). The capacities are non-negative. 1. 1. 1. 1. 1. s. t. 2. 1. 1. 1. G.

537 views • 53 slides

Chapter 10: Iterative Improvement

The Design and Analysis of Algorithms. Chapter 10: Iterative Improvement. The Maximum Flow Problem. The Maximum Flow Problem. Introduction Definition of a Flow The Ford-Fulkerson Method Residual networks Augmenting Paths Shortest-Augmenting-Path Algorithm Definition of a Cut

378 views • 25 slides

The diagram below shows water flowing through a pipework system.

171 views • 10 slides

Network Flow Labelling Procedure

Network Flow Labelling Procedure. The diagram above shows water flowing through a pipework system. The values on the edges are the capacities of water that they can carry. We can find the maximum flow through these pipes using the labelling procedure. 2. A. C. 4. 5. 3. 2. S. 4. T.

225 views • 7 slides