Optimal Control of Evolution Mixed Variational Inclusions

被引：0
|
作者：
Gonzalo Alduncin
机构：
[1] Universidad Nacional Autónoma de México,Departamento de Recursos Naturales, Instituto de Geofísica
来源：
Applied Mathematics & Optimization | 2013年 / 68卷
关键词：
Constrained optimal control; Evolution mixed variational inclusions; Duality principles; Composition duality methods; Perturbation conjugate duality methods; Proximation penalty-duality algorithms; Set-valued variational analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Optimal control problems of primal and dual evolution mixed variational inclusions, in reflexive Banach spaces, are studied. The solvability analysis of the mixed state systems is established via duality principles. The optimality analysis is performed in terms of perturbation conjugate duality methods, and proximation penalty-duality algorithms to mixed optimality conditions are further presented. Applications to nonlinear diffusion constrained problems as well as quasistatic elastoviscoplastic bilateral contact problems exemplify the theory.
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页码：445 / 473
页数：28
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