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Gonzaga, C.C. and Castillo, R.A. (2003) A Nonlinear Programming Algorithm Based on Non-Coercive Penalty Functions. Mathematical Programming, 96, 87-101.
https://doi.org/10.1007/s10107-002-0332-z

has been cited by the following article:

• TITLE: A Smoothing Penalty Function Method for the Constrained Optimization Problem

  AUTHORS: Bingzhuang Liu

  KEYWORDS: Constrained Optimization, Penalty Function, Smoothing Method, Optimal Solution

  JOURNAL NAME: Open Journal of Optimization, Vol.8 No.4, December 4, 2019

  ABSTRACT: In this paper, an approximate smoothing approach to the non-differentiable exact penalty function is proposed for the constrained optimization problem. A simple smoothed penalty algorithm is given, and its convergence is discussed. A practical algorithm to compute approximate optimal solution is given as well as computational experiments to demonstrate its efficiency.