CS 145 - Combinatorial Optimization Algorithms

Institution:
University of California-Riverside
Subject:
Description:
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): CS 141; MATH 113 or MATH 131. The study of efficient algorithm design techniques for combinatorial optimization problems. Topics include shortest paths, minimum spanning trees, network flows, maximum matchings, stable matchings, linear programming, duality, two-person games, algorithmic techniques for integer programming problems, NP-completeness, and approximation algorithms.
Credits:
4.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(951) 827-1012
Regional Accreditation:
Western Association of Schools and Colleges
Calendar System:
Quarter

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