Pages that link to "Item:Q93618"
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The following pages link to Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions (Q93618):
Displaying 50 items.
- Dimension-independent likelihood-informed MCMC (Q2374891) (← links)
- A fast block low-rank dense solver with applications to finite-element matrices (Q2374895) (← links)
- Numerical methods for high-dimensional probability density function equations (Q2374964) (← links)
- Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction (Q2375191) (← links)
- Far-field compression for fast kernel summation methods in high dimensions (Q2397164) (← links)
- Randomized matrix-free trace and log-determinant estimators (Q2408935) (← links)
- Nyström-based approximate kernel subspace learning (Q2416980) (← links)
- Error-controlled model approximation for Gaussian process morphable models (Q2417934) (← links)
- A fast SVD-hidden-nodes based extreme learning machine for large-scale data analytics (Q2418132) (← links)
- Structural conditions for projection-cost preservation via randomized matrix multiplication (Q2419040) (← links)
- A singular value \(p\)-shrinkage thresholding algorithm for low rank matrix recovery (Q2419553) (← links)
- Quasi-Toeplitz matrix arithmetic: a MATLAB toolbox (Q2420167) (← links)
- Cluster-based generalized multiscale finite element method for elliptic PDEs with random coefficients (Q2425289) (← links)
- Paved with good intentions: analysis of a randomized block Kaczmarz method (Q2437339) (← links)
- Fast structured LU factorization for nonsymmetric matrices (Q2450863) (← links)
- Estimating the norms of random circulant and Toeplitz matrices and their inverses (Q2512809) (← links)
- An \(O(N)\) direct solver for integral equations on the plane (Q2512836) (← links)
- Stochastic boundary methods of fundamental solutions for solving PDEs (Q2520343) (← links)
- Randomized algorithms for the approximations of Tucker and the tensor train decompositions (Q2631991) (← links)
- Structure-preserving reduced-order modeling of Korteweg-de Vries equation (Q2664789) (← links)
- Golub-Kahan vs. Monte Carlo: a comparison of bidiagonlization and a randomized SVD method for the solution of linear discrete ill-posed problems (Q2665542) (← links)
- Randomized generalized singular value decomposition (Q2667344) (← links)
- MERACLE: constructive layer-wise conversion of a tensor train into a MERA (Q2667352) (← links)
- Coupled and uncoupled dynamic mode decomposition in multi-compartmental systems with applications to epidemiological and additive manufacturing problems (Q2670383) (← links)
- Exploring the common principal subspace of deep features in neural networks (Q2673330) (← links)
- H2Opus: a distributed-memory multi-GPU software package for non-local operators (Q2673500) (← links)
- Efficient algorithm for proper orthogonal decomposition of block-structured adaptively refined numerical simulations (Q2675596) (← links)
- A kernel-independent sum-of-exponentials method (Q2676808) (← links)
- On convergence rates of adaptive ensemble Kalman inversion for linear ill-posed problems (Q2676869) (← links)
- Bayesian operator inference for data-driven reduced-order modeling (Q2679294) (← links)
- Low-rank nonnegative tensor approximation via alternating projections and sketching (Q2685220) (← links)
- DeepCyto: a hybrid framework for cervical cancer classification by using deep feature fusion of cytology images (Q2686787) (← links)
- A fast direct solver for non-intrusive reduced order modeling of vibroacoustic problems (Q2691965) (← links)
- A GPU parallel randomized CUR compression method for the method of moments (Q2692476) (← links)
- A randomized singular value decomposition for third-order oriented tensors (Q2697009) (← links)
- Learning elliptic partial differential equations with randomized linear algebra (Q2697403) (← links)
- Parallelization of the inverse fast multipole method with an application to boundary element method (Q2698816) (← links)
- TeNeS: tensor network solver for quantum lattice systems (Q2700750) (← links)
- Random Projections for Low Multilinear Rank Tensors (Q2806290) (← links)
- Randomized oversampling for generalized multiscale finite element methods (Q2806415) (← links)
- A DEIM induced CUR factorization (Q2810324) (← links)
- Hierarchical interpolative factorization for elliptic operators: integral equations (Q2812291) (← links)
- Tikhonov regularization and randomized GSVD (Q2813331) (← links)
- Randomized alternating least squares for canonical tensor decompositions: application to a PDE with random data (Q2818256) (← links)
- HOID: higher order interpolatory decomposition for tensors based on Tucker representation (Q2818274) (← links)
- On the stability of some hierarchical rank structured matrix algorithms (Q2827062) (← links)
- An efficient multicore implementation of a novel HSS-structured multifrontal solver using randomized sampling (Q2830621) (← links)
- A randomized blocked algorithm for efficiently computing rank-revealing factorizations of matrices (Q2830627) (← links)
- Parallel randomized and matrix-free direct solvers for large structured dense linear systems (Q2830628) (← links)
- ASKIT: an efficient, parallel library for high-dimensional kernel summations (Q2830640) (← links)
