Article ID: | iaor1993344 |
Country: | Netherlands |
Volume: | 53 |
Issue: | 2 |
Start Page Number: | 213 |
End Page Number: | 235 |
Publication Date: | Jan 1992 |
Journal: | Mathematical Programming (Series A) |
Authors: | Fourer Robert |
The first two parts of this paper have developed a simplex algorithm for minimizing convex separable piecewise-linear functions subject to linear constraints. This concluding part argues that a direct piecewise-linear simplex implementation has inherent advantages over an indirect approach that relies on transformation to a linear program. The advantages are shown to be implicit in relationships between the linear and piecewise-linear algorithms, and to be independent of many details of implementation. Two sets of computational results serve to illustrate these arguments; the piecewise-linear simplex algorithm is observed to run 2-6 times faster than a comparable linear algorithm, not including any additional expense that might be incurred in setting up the equivalent linear program. Further support for the practical value of a good piecewise-linear programming algorithm is provided by a survey of many varied applications.