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Fitting piecewise linear continuous functions
Authors:Alejandro Toriello  Juan Pablo Vielma
Institution:a Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California, 3715 McClintock Avenue, GER 240, Los Angeles, CA 90089, United States
b Department of Industrial Engineering, 1048 Benedum Hall, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15261, United States
Abstract:We consider the problem of fitting a continuous piecewise linear function to a finite set of data points, modeled as a mathematical program with convex objective. We review some fitting problems that can be modeled as convex programs, and then introduce mixed-binary generalizations that allow variability in the regions defining the best-fit function’s domain. We also study the additional constraints required to impose convexity on the best-fit function.
Keywords:Integer programming  Quadratic programming  Data fitting/regression  Piecewise linear function
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