Data Science Applications

Robert J. Vanderbei
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Robert J. Vanderbei: Princeton University

Chapter Chapter 12 in Linear Programming, 2020, pp 187-213 from Springer

Abstract: Abstract In this chapter, we shall study a few applications of linear programming to an area of statistics called regression and to an area of machine learning called support vector machines. As a specific example for our study of regression, we shall use size and iteration-count data collected from a standard suite of linear programming problems to derive a regression estimate of the number of iterations needed to solve problems of a given size.

Date: 2020
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DOI: 10.1007/978-3-030-39415-8_12

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