Reconstructing high-dimensional Hilbert-valued functions via compressed sensing

Nick Dexter, Hoang Tran, Clayton Webster

Type: Preprint

Publication Date: 2019-05-14

Citations: 0

Locations

arXiv (Cornell University) - View

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+	Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence	2008	Elaine Hale Wotao Yin Yin Zhang
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2017	Heinz H. Bauschke Patrick L. Combettes
+	A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data	2008	Fabio Nobile Raúl Tempone Clayton Webster
+	Polynomial approximation via compressed sensing of high-dimensional functions on lower sets	2017	Abdellah Chkifa Nick Dexter Hoang Tran Clayton Webster
+	On the Strong Convergence of Forward-Backward Splitting in Reconstructing Jointly Sparse Signals	2017	Nick Dexter Hoang Tran Clayton Webster
+	Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficients	2016	Nick Dexter Clayton Webster Guannan Zhang
+ PDF Chat	Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients	2017	Hoang Tran Clayton Webster Guannan Zhang
+ PDF Chat	Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies	2014	Jerrad Hampton Alireza Doostan
+ PDF Chat	A non-adapted sparse approximation of PDEs with stochastic inputs	2011	Alireza Doostan Houman Owhadi
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