Nonlinear integer programming problems with bounded feasible sets are considered. It is shown how the number of constraints in such problems can be reduced with the aid of an exact penalty function approach. This approach can be used to construct an equivalent unconstrained problem, or a problem wit
โฆ LIBER โฆ
SICOpt: Solution Approach for Nonlinear Integer Stochastic Programming Problems
โ Scribed by P. Beraldi; D. Conforti; A. Violi
- Publisher
- Springer
- Year
- 2009
- Tongue
- English
- Weight
- 372 KB
- Volume
- 143
- Category
- Article
- ISSN
- 0022-3239
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
An exact penalty function approach for n
โ
Marius Sinclair
๐
Article
๐
1986
๐
Elsevier Science
๐
English
โ 344 KB
A decomposition-based solution method fo
โ
Maria Elena Bruni
๐
Article
๐
2006
๐
Springer
๐
English
โ 59 KB
An optimal control approach to nonlinear
โ
H.W.J. Lee; K.L. Teo; X.Q. Cai
๐
Article
๐
1998
๐
Elsevier Science
๐
English
โ 984 KB
Motivated by the recent developments of the Control Parametrization Enhancing Technique (CPET), a novel method for solving a general cleee of nonlinear mixed integer prcgramming problems is introduced in thii paper. By imposing appropriate dynamice as well ee a set of statistical variance type of fu
Exact Penalty Functions for Nonlinear In
โ
S. Lucidi; F. Rinaldi
๐
Article
๐
2010
๐
Springer
๐
English
โ 306 KB
An approach for solving nonlinear progra
โ
Basirzadeh, H. ;Kamyad, A. V. ;Effati, S.
๐
Article
๐
2002
๐
Springer-Verlag
๐
English
โ 153 KB
Solution approaches for highly primal- a
โ
Parviz Ghandforoush; Larry M. Austin
๐
Article
๐
1985
๐
Elsevier Science
๐
English
โ 541 KB