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Sep 07, 2024
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CSC 206 - Analysis of Algorithms and Complexity Theory Semester Hours: 3 Periodically
Asymptotics, recurrence relations, lower bound theory including comparison trees for sorting and searching. Oracles. Lower bounds on parallel computation. Combinatorial optimization. Branch and bound: Knapsack problem, FFT and applications. Integer and polynomial arithmetic. Analysis of divide and conquer algorithms, dynamic programming, greedy algorithms, backtracking. Nondeterministic algorithms. The classes P and NP. NP completeness. Complexity hierarchy.
Prerequisite(s)/Course Notes: CSC 204 . Course open to graduate students in computer science, others need permission from computer science graduate director.
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