2001Journal of Xiamen UniversityRequires access

Study on Initial Value of Lagrange Multipliers and Adaptation of Penalty Parameters

Jixin Qian

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Abstract

Based on Rockafellar multiplier penalty function optimization algorithms,this paper discussed the influences of initial value of Lagrange multipliers and the adaptation of penalty parameters on the algorithms by numerical experiments in Matlab language. It offers some useful references for studying large-scale optimization algorithms

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Based on Rockafellar multiplier penalty function optimization algorithms,this paper discussed the influences of initial value of Lagrange multipliers and the adaptation of penalty parameters on the algorithms by numerical experiments in Matlab language. It offers some useful references for studying large-scale optimization algorithms

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Available abstract

Based on Rockafellar multiplier penalty function optimization algorithms,this paper discussed the influences of initial value of Lagrange multipliers and the adaptation of penalty parameters on the algorithms by numerical experiments in Matlab language. It offers some useful references for studying large-scale optimization algorithms

Key concepts: Lagrange multiplier, Penalty method, Mathematical optimization, Constraint algorithm, Multiplier (economics), MATLAB, Augmented Lagrangian method, Adaptation (eye)

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