MINLP formulations for continuous piecewise linear function fitting

We consider a nonconvex mixed-integer nonlinear programming (MINLP) model proposed by Goldberg et al. (Comput Optim Appl 58:523–541, 2014. https://doi.org/10.1007/s10589-014-9647-y) for piecewise linear function fitting. We show that this MINLP model is incomplete and can result in a piecewise linea...

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Veröffentlicht in:	Computational optimization and applications Jg. 79; H. 1; S. 223 - 233
Hauptverfasser:	Goldberg, Noam, Rebennack, Steffen, Kim, Youngdae, Krasko, Vitaliy, Leyffer, Sven
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Springer US 01.05.2021 Springer Nature B.V
Schlagworte:	Branch-and-bound Continuity (mathematics) Convex and Discrete Geometry Linear functions Linear spline regression Management Science Mathematics Mathematics and Statistics Mixed integer Mixed-integer nonlinear program Nonlinear programming Operations Research Operations Research/Decision Theory Optimization Reformulation Statistics Linear spline regression Branch-and-bound Mixed-integer nonlinear program Reformulation
ISSN:	1573-2894, 0926-6003, 1573-2894
Online-Zugang:	Volltext
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