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Algorithms and Programming Techniques Assignments
Topics covered include: Algorithmic accuracy and efficiency; Complexity of computations within space and time limits; Strategies used in space-time analysis of best-case, average-case and worst-case scenarios. Formulating algorithms through techniques such as greedy, divide-and-conquer, and induction; Algorithm matrices, trees, statistics and graphs; Intractability: algorithms related to P, NP-completeness, NP and approximation.
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