Models and algorithms for optimal piecewise-linear function approximation

DOI10.1155/2015/876862zbMath1394.65011OpenAlexW1549827771WikidataQ59119750 ScholiaQ59119750MaRDI QIDQ1666822

Luiz Fernando Nazari, Eduardo Camponogara

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/876862

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Algorithms for approximation of functions (65D15)

Related Items (4)

Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications ⋮ A continuous-time formulation for optimal task scheduling and quality-of-service assurance in nanosatellites ⋮ A unified framework for bivariate clustering and regression problems via mixed-integer linear programming ⋮ Proposal of simple and accurate two-parametric approximation for the \(Q\)-function

Uses Software

• CFSQP

Cites Work

• Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing
• A fuzzy clustering based technique for piecewise affine approximation of a class of nonlinear systems
• A clustering technique for the identification of piecewise affine systems
• A computational analysis of multidimensional piecewise-linear models with applications to oil production optimization
• Chance-Constrained Programming
• Unnamed Item
• Unnamed Item

This page was built for publication: Models and algorithms for optimal piecewise-linear function approximation