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陈艳萍
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期刊论文
ERROR ESTIMATES AND SUPERCONVERGENCE OF MIXED FINITE ELEMENT METHODS FOR CONVEX OPTIMAL CONTROL PROBLEMS
，-0001，（）：
In this paper, we investigate the full discretization of general convex optimal control problems using mixed finite element methods. The state and co-state are discretized by lowest order Raviart-Thomas element and the control is approximated by piecewise constant functions. We derive error estimates for both the control and the state approximation. Moreover, we present the superconvergence analysis for mixed finite element approximation of the optimal control problems.
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