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Necessary Conditions of Optimality for Calculus of Variations Problems with Inequality Constraints

机译:不平等约束的变异问题差异的最优性条件

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Necessary Conditions of Optimality (NCO) play an important role in the characterization of and search for solutions of Optimization Problems. They enable us to identify a small set of candidates to local minimizers among the overall set of admissible solutions. However, in constrained optimization problems it may happen that necessary conditions of optimality are merely state a relation between the constraints and do not use the objective function to select candidates to minimizers. To avoid this phenomenon, it is necessary to strengthened the NCO. Here, we overview and describe strengthened forms NCO for calculus of variations with inequality constraints.
机译:最优性的必要条件(NCO)在对优化问题的解决方案的表征和寻找解决方案中起重要作用。他们使我们能够将一小组候选人识别到整个允许解决方案中的当地最低限度。然而,在约束的优化问题中,可能发生的是,最优性的必要条件仅仅是陈述约束之间的关系,并且不使用目标函数来为最小化器选择候选者。为了避免这种现象,有必要加强NCO。在这里,我们概述并描述了加强的NCO,用于对不等式限制的变化进行计算。

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