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COMPSCI 270

Combinatorial Algorithms and Data Structures

3 credits · Graduate

Design and analysis of efficient algorithms for combinatorial problems. Network flow theory, matching theory, matroid theory; augmenting-path algorithms; branch-and-bound algorithms; data structure techniques for efficient implementation of combinatorial algorithms; analysis of data structures; applications of data structure techniques to sorting, searching, and geometric problems.

Prerequisites & course information

{'preRequisiteCourse': '1042811', 'concurrentPrerequisit': False}

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