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CMSC 451

Design and Analysis of Computer Algorithms

3 Credits

Fundamental techniques for designing efficient computer algorithms, proving their correctness, and analyzing their complexity. General topics include graph algorithms, basic algorithm design paradigms (such as greedy algorithms, divide-and-conquer, and dynamic programming), network flows, NP-completeness, and other selected topics in algorithms.

Topics

Topics explicitly listed in official catalogue description

Prerequisites & course information

Prerequisite: Minimum grade of C- in CMSC351 ; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.

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