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Dissipative and Non-Dissipative Evolutionary Quasi-Variational Inequalities with Gradient Constraints

机译:具有梯度约束的耗散和非耗散进化准分层不等式

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摘要

Evolutionary quasi-variational inequality (QVI) problems of dissipative and non-dissipative nature with pointwise constraints on the gradient are studied. A semi-discretization in time is employed for the study of the problems and the derivation of a numerical solution scheme. Convergence of the discretization procedure is proven and properties of the original infinite dimensional problem, such as existence, extra regularity and non-decrease in time, are derived. The proposed numerical solver reduces to a finite number of gradient-constrained convex optimization problems which can be solved rather efficiently. The paper ends with a report on numerical tests obtained by a variable splitting algorithm involving different nonlinearities and types of constraints.
机译:研究了对梯度的逐点约束的耗散和非耗散性质的进化准分层不等式(QVI)问题。 采用半离散化用于研究问题的问题和衍生数值解决方案方案。 派生了离散化程序的收敛性,得到了原始无限尺寸问题的属性,例如存在,额外规律性和在时间上的不降低。 所提出的数值求解器减少到可以在相当有效解决的有限数量的梯度受约束的凸优化问题。 纸张以涉及不同非线性和限制类型的可变分割算法而获得的关于数值测试的报告。

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