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A modified concave simplex algorithm for geometric programming
- Source :
- Journal of Optimization Theory and Applications. 15:189-202
- Publication Year :
- 1975
- Publisher :
- Springer Science and Business Media LLC, 1975.
-
Abstract
- An algorithm for solving posynomial geometric programs is presented. The algorithm uses a modification of the concave simplex method to solve the dual program which has a nondifferentiable objective function. The method permits simultaneous changes in certain blocks of dual variables. A convergence proof follows from the convergence proof of the concave simplex method. Some computational results on problems with up to forty degrees of difficulty are included.
- Subjects :
- Mathematical optimization
Control and Optimization
Linear programming
Applied Mathematics
MathematicsofComputing_NUMERICALANALYSIS
Management Science and Operations Research
Posynomial
Linear-fractional programming
Revised simplex method
Fractional programming
Simplex algorithm
Criss-cross algorithm
Geometric programming
Algorithm
Mathematics
Subjects
Details
- ISSN :
- 15732878 and 00223239
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Journal of Optimization Theory and Applications
- Accession number :
- edsair.doi...........9a8a3b111efa3a402d86722604acf317
- Full Text :
- https://doi.org/10.1007/bf02665292