Pages that link to "Item:Q93618"

The following pages link to Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions (Q93618):

Displaying 50 items.

• A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems (Q1686578) (← links)
• Application of the inverse fast multipole method as a preconditioner in a 3D Helmholtz boundary element method (Q1686597) (← links)
• Accuracy of singular vectors obtained by projection-based SVD methods (Q1689319) (← links)
• Randomized LU decomposition (Q1690696) (← links)
• A dynamical polynomial chaos approach for long-time evolution of SPDEs (Q1693454) (← links)
• A new fast direct solver for the boundary element method (Q1697117) (← links)
• The mechanism of additive composition (Q1697927) (← links)
• A fast direct solver for boundary value problems on locally perturbed geometries (Q1701079) (← links)
• Video denoising via empirical Bayesian estimation of space-time patches (Q1701995) (← links)
• Approximation of integral operators using product-convolution expansions (Q1702631) (← links)
• Demystifying the asymptotic behavior of global denoising (Q1704005) (← links)
• On computing distributions of products of non-negative independent random variables (Q1713643) (← links)
• On the exponential of semi-infinite quasi-Toeplitz matrices (Q1719557) (← links)
• Randomized recompression of \(\mathcal {H}\)-matrices for BEM (Q1734172) (← links)
• Multidimensional butterfly factorization (Q1742823) (← links)
• Matrix completion under interval uncertainty (Q1752160) (← links)
• Energy preserving model order reduction of the nonlinear Schrödinger equation (Q1756920) (← links)
• ROML: a robust feature correspondence approach for matching objects in a set of images (Q1800046) (← links)
• A boundary integral equation approach to computing eigenvalues of the Stokes operator (Q1987755) (← links)
• Layer potential approach for fast eigenvalue characterization of the Helmholtz equation with mixed boundary conditions (Q1993456) (← links)
• A novel modified TRSVD method for large-scale linear discrete ill-posed problems (Q1995939) (← links)
• A randomized exponential canonical correlation analysis method for data analysis and dimensionality reduction (Q1995941) (← links)
• Clustering in block Markov chains (Q1996780) (← links)
• Randomized model order reduction (Q2000522) (← links)
• Generalized multiscale finite element methods for space-time heterogeneous parabolic equations (Q2001686) (← links)
• Numerical evaluation of methods approximating the distribution of a large quadratic form in normal variables (Q2002719) (← links)
• Reduced basis decomposition: a certified and fast lossy data compression algorithm (Q2006533) (← links)
• An improved divide-and-conquer algorithm for the banded matrices with narrow bandwidths (Q2007234) (← links)
• Structure preserving reduced order modeling for gradient systems (Q2008502) (← links)
• Adaptive nonnegative matrix factorization and measure comparisons for recommender systems (Q2011084) (← links)
• Randomized LU decomposition using sparse projections (Q2012724) (← links)
• Fast randomized matrix and tensor interpolative decomposition using countsketch (Q2025436) (← links)
• Gaussian variant of Freivalds' algorithm for efficient and reliable matrix product verification (Q2026637) (← links)
• Randomized linear algebra for model reduction. II: Minimal residual methods and dictionary-based approximation (Q2027783) (← links)
• Fast non-convex low-rank matrix decomposition for separation of potential field data using minimal memory (Q2028934) (← links)
• An accelerated IRNN-iteratively reweighted nuclear norm algorithm for nonconvex nonsmooth low-rank minimization problems (Q2029679) (← links)
• A locally optimal rank revealing product decomposition (Q2029861) (← links)
• Geometric component analysis and its applications to data analysis (Q2036489) (← links)
• Correlations between random projections and the bivariate normal (Q2036781) (← links)
• New applications of matrix methods (Q2038478) (← links)
• On the accuracy of cross and column low-rank maxvol approximations in average (Q2038491) (← links)
• Low-rank approximation algorithms for matrix completion with random sampling (Q2038493) (← links)
• Randomized block Krylov subspace methods for trace and log-determinant estimators (Q2045172) (← links)
• An efficient randomized algorithm for computing the approximate Tucker decomposition (Q2049079) (← links)
• A model reduction approach for inverse problems with operator valued data (Q2049926) (← links)
• Fast Cadzow's algorithm and a gradient variant (Q2051041) (← links)
• Bayesian random projection-based signal detection for Gaussian scale space random fields (Q2058557) (← links)
• POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition (Q2060079) (← links)
• Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (Q2060092) (← links)
• Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis (Q2065516) (← links)