MINLP formulations for continuous piecewise linear function fitting
type: Item
instance of: scholarly article
title: MINLP formulations for continuous piecewise linear function fitting
zbMATH Open document ID: 1469.90093
author: Noam Goldberg
author: Steffen Rebennack
author: Youngdae Kim
author: Vitaliy Krasko
author: Sven Leyffer
published in: Computational Optimization and Applications
publication date: 2021-06-01T00:00:00Z
Mathematics Subject Classification ID: 90C11
Mathematics Subject Classification ID: 90C26
zbMATH DE Number: 7353219
zbMATH Keywords: mixed-integer nonlinear program
zbMATH Keywords: linear spline regression
zbMATH Keywords: branch-and-bound
zbMATH Keywords: reformulation
describes a project that uses: JuMP
MaRDI profile type: Publication
full work available at URL: s10589-021-00268-5
OpenAlex ID: W3133974804
cites work: Curve Fitting by Segmented Straight Lines
cites work: Branching and bounds tighteningtechniques for non-convex MINLP
cites work: JuMP: A Modeling Language for Mathematical Optimization
cites work: Adaptively refined dynamic program for linear spline regression
cites work: Approximation to Data by Splines with Free Knots
cites work: Continuous piecewise linear delta-approximations for univariate functions: computing minimal breakpoint systems
cites work: Piecewise Linear Function Fitting via Mixed-Integer Linear Programming
cites work: Fitting piecewise linear continuous functions
DOI: 10.1007/S10589-021-00268-5
description: scientific article; zbMATH DE number 7353219