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The 2-Factor-Method with a Modified Lagrange Function for Degenerate Constrained Optimization Problems

机译:退化约束优化问题的修正Lagrange函数的2-因子方法

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摘要

A special modification of the Lagrange function is used to reduce a nonlinear optimization problem to a system of nonlinear equations that is singular in the general case. By applying the /p-factor transformation, this system is reduced to a new nondegenerate system with the same solution, which can be solved by Newton-type methods. Thus, the method suggested combines a version of the modified Lagrange function (MLF) method proposed by Evtushenko in [3] and Tret'yakov's 2-factor-method (its description can be found, for example, in [1]).
机译:拉格朗日函数的特殊修改用于将非线性优化问题简化为通常情况下为奇异的非线性方程组。通过应用/ p因子变换,可以将该系统简化为具有相同解决方案的新的非退化系统,可以通过牛顿型方法解决该问题。因此,建议的方法结合了Evtushenko在[3]中提出的修正Lagrange函数(MLF)方法的版本和Tret'yakov的2因子方法(例如,可以在[1]中找到其描述)。

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