PWA methods for 2 variables

This repository contains the scripts 📜 for implementing PieceWise Approximations 📐.

• The methods are based on the paper:

D’Ambrosio, C., Lodi, A., Martello, S., 2010. "Piecewise linear approximation of functions of two variables in MILP models". Operations Research Letters 38, 39–46.

INPUTS

• I   set of discretization points
• funSlct   function selection to test % {1,2,3,4,5,6}
• varRanges   x, y ranges % {'physical','paper'}
• activeCstrX   activate constraint on x % {0,1}
• varRanges   activate constraint on y % {0,1}

METHODS 📚

1. Function of 1 variable

   • funSeperablePWA.m  

2. Function of 2 variables: One-dimensional

   • oneDimensionalPWA.m  

3. Function of 2 variables: Triangles

   • trianglesPWA.m

4. Function xy: Seperable programming

   • sprblPrgrmXY.m