Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables (Q6657194)

scientific article; zbMATH DE number 7962056

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English	Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables	scientific article; zbMATH DE number 7962056

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title

Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables (English)

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Mathematics of Computation

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publication date

6 January 2025

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Publication

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cites work

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\textit{A priori} convergence of the greedy algorithm for the parametrized reduced basis method

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Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces

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Certified Reduced Basis Methods for Parametrized Partial Differential Equations

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Worst-case recovery guarantees for least squares approximation using random samples

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Function values are enough for \(L_2\)-approximation

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Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization

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Reduced Basis Methods for Partial Differential Equations

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Randomized residual-based error estimators for the proper generalized decomposition approximation of parametrized problems

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Randomized Residual-Based Error Estimators for Parametrized Equations

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Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis <i>a posteriori</i> error bounds

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A model and variance reduction method for computing statistical outputs of stochastic elliptic partial differential equations

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mardi Publication:6657194