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Chapter 7 Network Flow Models.

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Presentation on theme: "Chapter 7 Network Flow Models."— Presentation transcript:

1 Chapter 7 Network Flow Models

2 Shortest Route Problem
Given distances between nodes, find the shortest route between any pair of nodes.

3 Example: p.282 (291)

4 Solution Methods Dijkstra algorithm: Using QM: Introduced in book.
Not required for this course Using QM: Required for this course Data input format -

5 Discussion What if the ‘cost’, instead of ‘distance’, between two nodes are given, and we want to find the ‘lowest-cost route’ from a starting node to a destination node? What if the cost from a to b is different from the cost from b to a? (QM does not handle this situation.)

6 Minimal Spanning Tree Problem
Given costs (distances) between nodes, find a network (actually a “tree”) that covers all the nodes with minimum total cost. Applications:

7 Example: p.290 (299) Solution Method: Using QM.

8 Shortest Route vs. Minimal Spanning
The minimal spanning tree problem is to identify a set of connected arcs that cover all nodes. The shortest route problem is to identify a route from a particular node to another, which typically does not pass through every node.

9 Maximal Flow Problem Given flow-capacities between nodes, find the maximum amount of flows that can go from the origin node to the destination node through the network. Applications:

10 Example: p.294 (303) Solution Method: Using QM.

11 Network Flow Problem Solving
Given a problem, we need to tell what ‘problem’ it is (shortest route, minimal spanning tree, or maximal flow); then use the corresponding module in QM to solve it.

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