A New Lagrangian Multiplier Method on Constrained Optimization
Youlin Shang, Sheng-Li Guo, Xiang-Yi Jiang
Abstract
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Youlin Shang, Sheng-Li Guo, Xiang-Yi Jiang
Abstract
Open-access reader
In this paper, a new augmented Lagrangian function with 4-piecewise linear NCP function is introduced for solving nonlinear programming problems with equality constrained and inequality constrained. It is proved that a solution of the original constrained problem and corresponding values of Lagrange multipliers can be found by solving an unconstrained minimization of the augmented Lagrange function. Meanwhile, a new Lagrangian multiplier method corresponding with new augmented Lagrangian function is proposed. And this method is implementable and convergent.
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In this paper, a new augmented Lagrangian function with 4-piecewise linear NCP function is introduced for solving nonlinear programming problems with equality constrained and inequality constrained. It is proved that a solution of the original constrained problem and corresponding values of Lagrange multipliers can be found by solving an unconstrained minimization of the augmented Lagrange function. Meanwhile, a new Lagrangian multiplier method corresponding with new augmented Lagrangian function is proposed. And this method is implementable and convergent.
Key concepts: Augmented Lagrangian method, Lagrange multiplier, Lagrangian relaxation, Mathematics, Lagrangian, Mathematical optimization, Nonlinear programming, Multiplier (economics)