6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005
Cover of 6.046J textbook,
Introduction to Algorithms, Second Edition, by Cormen, Leiserson, Rivest, and Stein. (Image courtesy of MIT Press.)
Highlights of this Course
This course features a complete set of lecture notes and videos in the
lecture notes section. 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.
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.
This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5503 (Analysis and Design of Algorithms).
Technical Requirements
Special software is required to use some of the files in this course: .c, .java, .mp3, .rm.
本课程教授高效算法的设计与分析技巧,重点介绍实用的方法。内容涵盖排序、搜索树、堆、哈希、分治法、动态规划等核心主题。此外还涉及图算法、最短路径、网络流等领域。
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