Randomized Residual-Based Error Estimators for Parametrized Equations
We propose a randomized a posteriori error estimator for reduced order approximations of parametrized (partial) differential equations. The error estimator has several important properties: the effectivity is close to unity with prescribed lower and upper bounds at specified high probability; the es...
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Format: | Article |
Language: | English |
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Society for Industrial & Applied Mathematics (SIAM)
2020
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Online Access: | https://hdl.handle.net/1721.1/124426 |