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Introduction to Algorithms

by MIT

This course material is only available in the iTunes U app on iPhone or iPad.

Course Description

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing. 

The textbook for this course is: Cormen, Thomas H., Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Introduction to Algorithms. 2nd ed. Cambridge, MA: MIT Press. ISBN: 0262032937.

This content is provided under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 license.

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