First-Order Least-Squares Method for the Obstacle Problem
classification
🧮 math.NA
keywords
caseerrorfirst-orderleast-squaresmethodobstacleproblemadaptive
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We define and analyse a least-squares finite element method for a first-order reformulation of the obstacle problem. Moreover, we derive variational inequalities that are based on similar but non-symmetric bilinear forms. A priori error estimates including the case of non-conforming convex sets are given and optimal convergence rates are shown for the lowest-order case. We provide also a posteriori bounds that can be be used as error indicators in an adaptive algorithm. Numerical studies are presented.
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