Order of Growth

May 7th, 2015
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* How do time or space requirements grow as the problem size increases. ...Worst Case Efficiency* is the maximum number of steps an algorithm can get for any collection of data values.

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Bscs: Desalgo Review PrelimOrder of Growth* How do time or space requirements grow as the problem size increases. ...Worst Case Efficiency* is the maximum number of steps an algorithm can get for any collection of data values.Best Case Efficiency* it the minimum number of steps an algorithm can get for any collection of data values.Average Case Efficiency* falls between these extremes. It is the efficiency averaged on all possible inputs and must assume a distribution of the input.Amortized Efficiency* is being applied not just in single run algorithm but to a sequence of operations performed on the same data structure.Asymptotic complexity* is a way of expressing the main component of the cost of an algorithm, using idealized units of computational work.Notations used in comparing and ranking the order of growth.1. BigO Notation (O)* Introduced in 1895

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