Abstract
The field of Applied Algorithm Design is concerned with applying the results and techniques of Analysis of Algorithms to the real problems faced by practitioners of computing. In this paper we will study the applications of probability and statistics to that endeavor from two viewpoints. First, we will study a general methodology for building efficient programs that employs the tools of data analysis and statistical inference, probabilistic analysis of algorithms, and simulation. Second, we will see how these techniques are used in a detailed study of an application involving the Traveling Salesman Problem, and in a brief overview of several other applications.
This research was supported in part by the Office of Naval Research under Contract N0014-76-C-0370.
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Bentley, J.L. (1981). Applications of Statistics to Applied Algorithm Design. In: Eddy, W.F. (eds) Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9464-8_10
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DOI: https://doi.org/10.1007/978-1-4613-9464-8_10
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