Lecture 22: Using Graphs to Model Problems, Part 2
author: John Guttag,
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, MIT
recorded by: Massachusetts Institute of Technology, MIT
published: Oct. 29, 2012, recorded: April 2011, views: 2244
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
recorded by: Massachusetts Institute of Technology, MIT
published: Oct. 29, 2012, recorded: April 2011, views: 2244
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
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Description
This lecture returns to graph theory. It defines and gives examples of some classic graph problems: shortest path, shortest weighted path, cliques, and min-cut. It then shows how memoization can be used to speed up some algorithms.
Topics covered: Dynamic programming, optimal path, overlapping subproblems, weighted edges, specifications, restrictions, efficiency, pseudo-polynomials.
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