MIT Introduction To Algorithms | 3.6 GB

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. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5503 (Analysis and Design of Algorithms).

Course Features

Video lectures
Audio lectures
Subtitles/Transcript
Selected lecture notes
Assignments and solutions
Exams and Solutions

Course Highlights

This course features a complete set of lecture notes and videos. Homework assignments with solutions are also available in the assignments section. In addition, an extensive bibliography of assigned and recommended readings is provided in the readings section. The course textbook was co-written by Prof. Leiserson.

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