Introduction to Algorithms (2005)
PodcastTechnology
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.
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Publisher | Prof. Erik Demaine Prof. Charles Leiserson |
Website | http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/ |
Language(s) | English |
Images And Data Courtesy Of: Prof. Erik Demaine Prof. Charles Leiserson.
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