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Searched for: 1 subject found.
18.410[J] Design and Analysis of Algorithms
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(Same subject as 6.046[J])
Prereq: 6.006
Units: 4-0-8
https://learning-modules.mit.edu/class/index.html?uuid=/course/6/sp19/6.046#info![]()
Techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics include sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; greedy algorithms; amortized analysis; graph algorithms; and shortest paths. Advanced topics may include network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.
Fall: P. Indyk
Spring: M. Karchmer
Textbooks (Spring 2020)