In this paper, we propose a novel objective penalty function for inequality constrained optimization problems. The objective penalty function differs from any existing penalty function and also has two desired features: exactness and smoothness if the constraints and objective function are different
โฆ LIBER โฆ
A combined penalty function and gradient projection method for nonlinear programming
โ Scribed by D. G. Luenberger
- Publisher
- Springer
- Year
- 1974
- Tongue
- English
- Weight
- 990 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0022-3239
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
An objective penalty function method for
โ
Zhiqing Meng; Qiying Hu; Chuangyin Dang; Xiaoqi Yang
๐
Article
๐
2004
๐
Elsevier Science
๐
English
โ 370 KB
On a Lagrangian penalty function method
โ
Le Dung Muu
๐
Article
๐
1992
๐
Springer
๐
English
โ 412 KB
A penalty-function-free line search SQP
โ
Wenjuan Xue; Chungen Shen; Dingguo Pu
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 705 KB
On penalty function methods for nonlinea
โ
M.R Osborne; D.M Ryan
๐
Article
๐
1970
๐
Elsevier Science
๐
English
โ 804 KB
A hybrid variable penalty method for non
โ
B. Prasad
๐
Article
๐
1982
๐
Elsevier Science
๐
English
โ 835 KB
The paper describes a hybrid variable penalty method (in which the penalty functions are finite on the boundary of the constrained set) for solving a general nonlinear programming problem. The method combines two types of variable penalty functions to obtain a hybrid formulation in such a way that t
Weakened nonlinear programming problem a
โ
ร. I. Volynskii
๐
Article
๐
1978
๐
Springer US
๐
English
โ 523 KB