TY - CHAP

T1 - Data science applications

AU - Vanderbei, Robert J.

N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85090000383&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85090000383&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-39415-8_12

DO - 10.1007/978-3-030-39415-8_12

M3 - Chapter

AN - SCOPUS:85090000383

T3 - International Series in Operations Research and Management Science

SP - 187

EP - 213

BT - International Series in Operations Research and Management Science

PB - Springer

ER -