Dijkstra's shortest path algorithm
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Description
In Lecture 10, students learn about Dijkstra's algorithm for shortest paths in a graph with non-negative edge weights.
More Episodes
Lecture 28: Gusfield recaps NP-completeness.
The professor discusses coping with NP-complete problems: approximation algorithms and lowering the exponent of exponential-time algorithms.
Published 12/03/10
Lecture 27 covers the major theorems of NP-completeness, P = NP question, and how to prove a new problem in NP-complete.
Published 12/01/10
In Lecture 26, Gusfield gives correct, formal definitions of P and NP, ending with a brief definition of NP-complete problems (languages).
Published 11/29/10
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