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Introduction to Algorithms (2005)

By Prof. Erik Demaine Prof. Charles Leiserson

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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.

Customer Reviews


help me alot to understand this book


What a fanastic resource, even for OCW! I love the course structure, and Erik rocks (try the skip lists lecture). The only complaint I have is that the audio is mixed horribly low. Although the board is perfectly legible on my iphone, it's nearly impossible to listen to on a bus or train.

Great supplement

If you've tried reading "Introduction to Algorithms" and felt lost at any point, this is a fantastic series to really hammer home some of the concepts.

Introduction to Algorithms (2005)
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  • Free
  • Category: Technology
  • Language: English

Customer Ratings