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.
- Literature survey on low rank approximation of matrices (Q4603753) (← links)
- A Robust Multilevel Approximate Inverse Preconditioner for Symmetric Positive Definite Matrices (Q4604560) (← links)
- Variational Gaussian approximation for Poisson data (Q4607825) (← links)
- Variable Projection Methods for an Optimized Dynamic Mode Decomposition (Q4608086) (← links)
- Low Rank Approximation of a Sparse Matrix Based on LU Factorization with Column and Row Tournament Pivoting (Q4610132) (← links)
- Randomized Subspace Iteration: Analysis of Canonical Angles and Unitarily Invariant Norms (Q4615298) (← links)
- Concentration of the Frobenius Norm of Generalized Matrix Inverses (Q4615303) (← links)
- On the Best Approximation of the Hierarchical Matrix Product (Q4615305) (← links)
- Sparse Solutions in Optimal Control of PDEs with Uncertain Parameters: The Linear Case (Q4625000) (← links)
- Spatio-temporal proper orthogonal decomposition of turbulent channel flow (Q4625974) (← links)
- Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators (Q4627445) (← links)
- Randomized Approach to Nonlinear Inversion Combining Random and Optimized Simultaneous Sources and Detectors (Q4631407) (← links)
- Randomized Residual-Based Error Estimators for Parametrized Equations (Q4631415) (← links)
- (Q4633019) (← links)
- (Q4633029) (← links)
- (Q4633051) (← links)
- (Q4633059) (← links)
- (Q4637072) (← links)
- Preserving Positive Definiteness in Hierarchically Semiseparable Matrix Approximations (Q4643332) (← links)
- On the Numerical Rank of Radial Basis Function Kernels in High Dimensions (Q4644416) (← links)
- Singular Value Decomposition Approximation via Kronecker Summations for Imaging Applications (Q4644418) (← links)
- A New Preconditioner that Exploits Low-Rank Approximations to Factorization Error (Q4646451) (← links)
- Adapting Regularized Low-Rank Models for Parallel Architectures (Q4646456) (← links)
- Distributed Robust Subspace Recovery (Q4685332) (← links)
- Hierarchical Approximate Proper Orthogonal Decomposition (Q4685341) (← links)
- Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems (Q4689166) (← links)
- Sharp error bounds for Ritz vectors and approximate singular vectors (Q4960077) (← links)
- Randomized singular spectrum analysis for long time series (Q4960655) (← links)
- Efficient Construction of an HSS Preconditioner for Symmetric Positive Definite $\mathcal{H}^2$ Matrices (Q4986834) (← links)
- Data-driven resolvent analysis (Q4989070) (← links)
- Randomized Sketching Algorithms for Low-Memory Dynamic Optimization (Q4989933) (← links)
- A Low-Rank Schwarz Method for Radiative Transfer Equation With Heterogeneous Scattering Coefficient (Q4992259) (← links)
- Hierarchical algorithms on hierarchical architectures (Q4993506) (← links)
- Numerical algorithms for high-performance computational science (Q4993515) (← links)
- Efficient Algorithms for Eigensystem Realization Using Randomized SVD (Q4997845) (← links)
- (Q4998966) (← links)
- Scalable Semidefinite Programming (Q4999352) (← links)
- Sampled limited memory methods for massive linear inverse problems (Q5000590) (← links)
- Fast and Accurate Gaussian Kernel Ridge Regression Using Matrix Decompositions for Preconditioning (Q5006445) (← links)
- Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization (Q5006447) (← links)
- Sublinear Cost Low Rank Approximation via Subspace Sampling (Q5014667) (← links)
- Matrix Rigidity and the Ill-Posedness of Robust PCA and Matrix Completion (Q5025789) (← links)
- Randomized Algorithms for Low-Rank Tensor Decompositions in the Tucker Format (Q5027024) (← links)
- A Hierarchical Preconditioner for Wave Problems in Quasilinear Complexity (Q5028410) (← links)
- Efficiency of randomised dynamic mode decomposition for reduced order modelling (Q5031486) (← links)
- Exploiting low-rank structure in semidefinite programming by approximate operator splitting (Q5034932) (← links)
- Data-Driven Balancing of Linear Dynamical Systems (Q5037546) (← links)
- Active Subspace of Neural Networks: Structural Analysis and Universal Attacks (Q5037556) (← links)
- Low-Rank Tucker Approximation of a Tensor from Streaming Data (Q5037558) (← links)
- Approximating Matrix Eigenvalues by Subspace Iteration with Repeated Random Sparsification (Q5038410) (← links)