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Chapter 7 - PowerPoint PPT Presentation

Chapter 7. Network Flow Models. Shortest Route Problem. Given distances between nodes, find the shortest route between any pair of nodes. Example: p.282 (291). Solution Methods. Dijkstra algorithm: Introduced in book. Not required for this course Using QM: Required for this course

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Chapter 7

Network Flow Models

• Given distances between nodes, find the shortest route between any pair of nodes.

Example: p.282 (291)

• Dijkstra algorithm:

• Introduced in book.

• Not required for this course

• Using QM:

• Required for this course

• Data input format -

• 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.)

• Given costs (distances) between nodes, find a network (actually a “tree”) that covers all the nodes with minimum total cost.

• Applications:

Example: p.290 (299)

Solution Method: Using QM.

• 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.

• 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:

Example: p.294 (303)

Solution Method: Using QM.

• 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.