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Asymptotic Running Time of Algorithms - Cornell University
www.cs.cornell.eduAsymptotic Running Time of Algorithms Asymptotic Complexity: leading term analysis • Comparing searching and sorting algorithms so far: – Count worst-case number of comparisons as function of array size. – Drop lower-order terms, floors/ceilings, and constants to come up with asymptotic running time of algorithm.
The Running Time of Programs - Stanford University
infolab.stanford.edu1. Benchmarking 2. Analysis We shall consider each in turn, but the primary emphasis of this chapter is on the techniques for analyzing a program or an algorithm. Benchmarking When comparing two or more programs designed to do the same set of tasks, it is customary to develop a small collection of typical inputs that can serve as bench-marks.