
The authors consider the following constrained optimization problem: \[ \min_x f(x)\text{ s.t. }g_i(x)\leq 0,\quad i= 1,2,\dots, m. \] For this problem, the authors introduce a penalty function method based on smoothing lower order penalty function. Some numerical examples are presented.
Applied Mathematics, penalty function, smoothing technique, Programming involving graphs or networks, Penalty function, constrained optimization, Computational Mathematics, Numerical mathematical programming methods, Nonlinear programming, Constrained optimization, Smoothing technique
Applied Mathematics, penalty function, smoothing technique, Programming involving graphs or networks, Penalty function, constrained optimization, Computational Mathematics, Numerical mathematical programming methods, Nonlinear programming, Constrained optimization, Smoothing technique
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