Pages that link to "Item:Q5887823"
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The following pages link to Randomized numerical linear algebra: Foundations and algorithms (Q5887823):
Displaying 50 items.
- Triangular \(x\)-basis decompositions and derandomization of linear algebra algorithms over \(K[x]\) (Q412209) (← links)
- Randomized block Krylov methods for approximating extreme eigenvalues (Q2068363) (← links)
- Multi-step greedy Kaczmarz algorithms with simple random sampling for solving large linear systems (Q2085033) (← links)
- T-product tensors. II: Tail bounds for sums of random T-product tensors (Q2125883) (← links)
- Learning high-dimensional parametric maps via reduced basis adaptive residual networks (Q2679335) (← links)
- On the convergence of randomized and greedy relaxation schemes for solving nonsingular linear systems of equations (Q2679678) (← links)
- Low-rank nonnegative tensor approximation via alternating projections and sketching (Q2685220) (← links)
- GMRES algorithms over 35 years (Q2698151) (← links)
- Randomized Algorithms for Matrices and Data (Q3117600) (← links)
- Efficient Algorithms for Eigensystem Realization Using Randomized SVD (Q4997845) (← links)
- <i>LU</i> and <i>CR</i> Elimination (Q5025740) (← links)
- Three matrix factorizations from the steps of elimination (Q5049157) (← links)
- Randomized Spectral Clustering in Large-Scale Stochastic Block Models (Q5057098) (← links)
- Improved Variants of the Hutch++ Algorithm for Trace Estimation (Q5094217) (← links)
- Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition (Q5099421) (← links)
- Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning (Q5161770) (← links)
- Two-Level Nyström--Schur Preconditioner for Sparse Symmetric Positive Definite Matrices (Q5165449) (← links)
- Algorithm 1022: Efficient Algorithms for Computing a Rank-Revealing UTV Factorization on Parallel Computing Architectures (Q5883714) (← links)
- Stochastic algorithms for self-consistent calculations of electronic structures (Q5886872) (← links)
- Sketching for a low-rank nonnegative matrix approximation: numerical study (Q6038456) (← links)
- Zeroth-order optimization with orthogonal random directions (Q6038668) (← links)
- A fast direct boundary element method for 3D acoustic problems based on hierarchical matrices (Q6042430) (← links)
- A hybrid probabilistic domain decomposition algorithm suited for very large-scale elliptic PDEs (Q6052340) (← links)
- Simpler is better: a comparative study of randomized pivoting algorithms for CUR and interpolative decompositions (Q6052452) (← links)
- A literature survey of matrix methods for data science (Q6068265) (← links)
- Krylov-Aware Stochastic Trace Estimation (Q6094742) (← links)
- Randomized Block Adaptive Linear System Solvers (Q6094749) (← links)
- Randomized Low-Rank Approximation for Symmetric Indefinite Matrices (Q6094751) (← links)
- An Improved Analysis and Unified Perspective on Deterministic and Randomized Low-Rank Matrix Approximation (Q6101124) (← links)
- Principled interpolation of Green's functions learned from data (Q6101898) (← links)
- Growth Factors of Random Butterfly Matrices and the Stability of Avoiding Pivoting (Q6116656) (← links)
- CECM: a continuous empirical cubature method with application to the dimensional hyperreduction of parameterized finite element models (Q6120138) (← links)
- Pass-efficient truncated UTV for low-rank approximations (Q6125416) (← links)
- HODLR\(d\)D: a new black-box fast algorithm for \(N\)-body problems in \(d\)-dimensions with guaranteed error bounds. Applications to integral equations and support vector machines (Q6126569) (← links)
- A low-rank update for relaxed Schur complement preconditioners in fluid flow problems (Q6141527) (← links)
- Fast randomized numerical rank estimation for numerically low-rank matrices (Q6154411) (← links)
- Efficient Error and Variance Estimation for Randomized Matrix Computations (Q6154964) (← links)
- The method of randomized Bregman projections for stochastic feasibility problems (Q6156125) (← links)
- A fast randomized algorithm for computing an approximate null space (Q6161581) (← links)
- Randomized Nyström Preconditioning (Q6166051) (← links)
- Learning to Forecast Dynamical Systems from Streaming Data (Q6168204) (← links)
- XT<scp>race</scp>: Making the Most of Every Sample in Stochastic Trace Estimation (Q6180350) (← links)
- Speeding Up Krylov Subspace Methods for Computing \(\boldsymbol{{f}(A){b}}\) via Randomization (Q6195017) (← links)
- Derivative-informed neural operator: an efficient framework for high-dimensional parametric derivative learning (Q6202135) (← links)
- Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition (Q6202283) (← links)
- A Fast Monte Carlo Algorithm for Evaluating Matrix Functions with Application in Complex Networks (Q6489304) (← links)
- Spectral proper orthogonal decomposition of harmonically forced turbulent flows (Q6496919) (← links)
- Point spread function approximation of high-rank Hessians with locally supported nonnegative integral kernels (Q6543105) (← links)
- RA-HOOI: rank-adaptive higher-order orthogonal iteration for the fixed-accuracy low multilinear-rank approximation of tensors (Q6549553) (← links)
- Randomized tensor wheel decomposition (Q6551213) (← links)
