A new global optimization method for univariate constrained twice-differentiable NLP problems
โ Scribed by Min Ho Chang; Young Cheol Park; Tai-Yong Lee
- Publisher
- Springer US
- Year
- 2006
- Tongue
- English
- Weight
- 359 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0925-5001
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Differentiable (F , ฯ)-convex function of order 2 F -approximated vector optimization problem a b s t r a c t In this paper, a new approximation method is introduced to characterize a so-called vector strict global minimizer of order 2 for a class of nonlinear differentiable multiobjective programm
In this paper, we consider a general class of functional inequality constrained minimax optimization problems. This problem is first converted into a semi-infinite programming problem. Then, an auxiliary cost function is constructed based on a positive saturated function. The smallest zero of this a