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Dec 26, 2024
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MATH 303 - Theory of Computational Complexity 2020-2021 Catalog Year
Credit(s): 3 Lecture: 3 Non-Lecture: 0 A survey of the mathematical analysis of the time and space resources required to execute algorithms. Starting with the asymptotic analysis of resource needs of specific algorithms, the course builds to a study of lower bounds associated with problems, and culminates in an in-depth study of abstract resource-complexity classes such as P, NP, and PSPACE.
Prerequisite(s): MATH 239 . Offered: Spring Semester - Even Years
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