Piecewise-Linear Approximations of Multidimensional Functions
File(s)MisenerFloudas_JOTA_2010.pdf (222.68 KB)
Accepted version
Author(s)
Misener, R
Floudas, CA
Type
Journal Article
Abstract
We develop explicit, piecewise-linear formulations of functions f (x) :
Rn → R, n ≤ 3, that are defined on an orthogonal grid of vertex points. If mixedinteger
linear optimization problems (MILPs) involving multidimensional piecewiselinear
functions can be easily and efficiently solved to global optimality, then nonanalytic
functions can be used as an objective or constraint function for large optimization
problems. Linear interpolation between fixed gridpoints can also be used to
approximate generic, nonlinear functions, allowing us to approximately solve problems
using mixed-integer linear optimization methods. Toward this end, we develop
two different explicit formulations of piecewise-linear functions and discuss the consequences
of integrating the formulations into an optimization problem.
Rn → R, n ≤ 3, that are defined on an orthogonal grid of vertex points. If mixedinteger
linear optimization problems (MILPs) involving multidimensional piecewiselinear
functions can be easily and efficiently solved to global optimality, then nonanalytic
functions can be used as an objective or constraint function for large optimization
problems. Linear interpolation between fixed gridpoints can also be used to
approximate generic, nonlinear functions, allowing us to approximately solve problems
using mixed-integer linear optimization methods. Toward this end, we develop
two different explicit formulations of piecewise-linear functions and discuss the consequences
of integrating the formulations into an optimization problem.
Date Issued
2010-04-01
Date Acceptance
2009-11-05
Citation
Journal of Optimization Theory and Applications, 2010, 145, pp.120-147
ISSN
1573-2878
Publisher
Springer Verlag (Germany)
Start Page
120
End Page
147
Journal / Book Title
Journal of Optimization Theory and Applications
Volume
145
Copyright Statement
The final publication is available at Springer via http://dx.doi.org/10.1007/s10957-009-9626-0
Subjects
Operations Research
0102 Applied Mathematics
0103 Numerical And Computational Mathematics
0906 Electrical And Electronic Engineering
Publication Status
Published