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Analyzing Singleton Sort Through Computer Experiments for Normal Inputs

DOI: 10.5923/j.algorithms.20120103.01

Keywords: Singleton Sort, Parameterized Complexity, Factorial Experiments, Computer Experiments, Average Complexity

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Abstract:

The present work aims to study the behavior of singleton sort algorithm for normal distribution inputs with a focus on parameterized complexity. Statistical bound estimates are obtained by running computer experiments working directly on time. It is found, using factorial experiments, that the parameters of normal distribution ( mean and standard deviation) along with the input size are all significant statistically both individually as well as interactively.

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