A nonlinear programming algorithm based on non-coercive penalty functions

被引：1

作者：

Clovis C. Gonzaga

Rómulo A. Castillo

机构：

[1] Department of Mathematics,

[2] Federal University of Santa Catarina,undefined

[3] Florianópolis,undefined

[4] Brazil,undefined

[5] e-mail: clovis@mtm.ufsc.br,undefined

[6] Department of Mathematics,undefined

[7] Universidad Centroccidental Lisandro Alvarado,undefined

[8] Barquisimeto,undefined

[9] Venezuela,undefined

[10] e-mail: romulo@uicm.ucla.edu.ve,undefined

来源：

Mathematical Programming | 2003年 / 96卷

关键词：

Asymptotic Behavior; Programming Problem; Finite Number; Nonlinear Programming; Qualification Condition;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

We consider first the differentiable nonlinear programming problem and study the asymptotic behavior of methods based on a family of penalty functions that approximate asymptotically the usual exact penalty function. We associate two parameters to these functions: one is used to control the slope and the other controls the deviation from the exact penalty.

引用

页码：87 / 101

页数：14