An empirical interpolation approach to reduced basis approximations for variational inequalities
DOI10.1080/13873954.2016.1198388zbMath1351.49034OpenAlexW2410300054WikidataQ118178334 ScholiaQ118178334MaRDI QIDQ2831101
Eduard Bader, Karen Veroy, Zhenying Zhang
Publication date: 2 November 2016
Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/13873954.2016.1198388
variational inequalitiesbarrier methodreduced basis methodobstacle problempenalty methodempirical interpolation method
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Cites Work
- Reduced basis approximation and a posteriori error estimation for affinely parametrized elliptic coercive partial differential equations. Application to transport and continuum mechanics.
- Stable exponential-penalty algorithm with superlinear convergence
- A slack approach to reduced-basis approximation and error estimation for variational inequalities
- An `empirical interpolation' method: Application to efficient reduced-basis discretization of partial differential equations
- CONVERGENCE OF A GREEDY ALGORITHM FOR HIGH-DIMENSIONAL CONVEX NONLINEAR PROBLEMS
- The influence of elasticity on analysis: Modern developments
- Efficient reduced-basis treatment of nonaffine and nonlinear partial differential equations
- A Reduced Basis Method for Parametrized Variational Inequalities
- On Noncoercive Variational Inequalities
- A posteriorierror bounds for reduced-basis approximations of parametrized parabolic partial differential equations
- Reduced basis method for finite volume approximations of parametrized linear evolution equations
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