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首页> 外文期刊>Journal of inequalities and applications >Generalized Augmented Lagrangian Problem and Approximate Optimal Solutions in Nonlinear Programming
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Generalized Augmented Lagrangian Problem and Approximate Optimal Solutions in Nonlinear Programming

机译:非线性规划中的广义增广拉格朗日问题和近似最优解

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摘要

We introduce some approximate optimal solutions and a generalized augmented Lagrangian in nonlinear programming, establish dual function and dual problem based on the generalized augmented Lagrangian, obtain approximate KKT necessary optimality condition of the generalized augmented Lagrangian dual problem, prove that the approximate stationary points of generalized augmented Lagrangian problem converge to that of the original problem. Our results improve and generalize some known results.
机译:我们在非线性规划中引入了一些近似最优解和广义增广拉格朗日方程,在广义增广拉格朗日方程的基础上建立了对偶函数和对偶问题,获得了广义增广拉格朗日对偶问题的近似KKT必要最优条件,证明了广义广义拉格朗日方程的近似平稳点拉格朗日增广问题收敛到原始问题。我们的结果改进并归纳了一些已知结果。

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