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.
- A randomized algorithm for tensor singular value decomposition using an arbitrary number of passes (Q6143819) (← links)
- Randomized singular value decomposition for integrative subtype analysis of `omics data' using non-negative matrix factorization (Q6144031) (← links)
- Admissible subspaces and the subspace iteration method (Q6149879) (← links)
- Fast randomized numerical rank estimation for numerically low-rank matrices (Q6154411) (← links)
- Stable Rank-Adaptive Dynamically Orthogonal Runge–Kutta Schemes (Q6154958) (← links)
- Efficient Error and Variance Estimation for Randomized Matrix Computations (Q6154964) (← links)
- PyAlbany: a Python interface to the C++ multiphysics solver Albany (Q6157922) (← links)
- Spectral deviation of concentration operators for the short-time Fourier transform (Q6160438) (← links)
- A fast randomized algorithm for computing an approximate null space (Q6161581) (← links)
- Explicit deflation in Golub-Kahan-Lanczos bidiagonalization methods (Q6163324) (← links)
- On randomized sketching algorithms and the Tracy-Widom law (Q6163409) (← links)
- Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initialization (Q6166000) (← links)
- Randomized Nyström Preconditioning (Q6166051) (← links)
- A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization (Q6166053) (← links)
- Randomized Low-Rank Approximation of Monotone Matrix Functions (Q6166056) (← links)
- Learning to Forecast Dynamical Systems from Streaming Data (Q6168204) (← links)
- A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems (Q6172145) (← links)
- Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems (Q6173517) (← links)
- Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems (Q6175123) (← links)
- PCA Sparsified (Q6176425) (← links)
- Scalable Physics-Based Maximum Likelihood Estimation Using Hierarchical Matrices (Q6177922) (← links)
- Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions (Q6177925) (← links)
- XT<scp>race</scp>: Making the Most of Every Sample in Stochastic Trace Estimation (Q6180350) (← links)
- UTV decomposition of dual matrices and its applications (Q6192338) (← links)
- Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations (Q6194969) (← links)
- Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics (Q6195566) (← links)
- Fast macroscopic forcing method (Q6196620) (← 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)
- Piecewise DMD for oscillatory and Turing spatio-temporal dynamics (Q6202634) (← links)
- Randomized low rank approximation for nonnegative pure quaternion matrices (Q6202721) (← links)
- Adaptive symplectic model order reduction of parametric particle-based Vlasov–Poisson equation (Q6203459) (← links)
- Constructing low-rank Tucker tensor approximations using generalized completion (Q6489425) (← links)
- Sparse POD modal subsets for reduced-order nonlinear explicit dynamics (Q6497683) (← links)
- Solving PDEs on unknown manifolds with machine learning (Q6499004) (← links)
- Subspace Acceleration for a Sequence of Linear Systems and Application to Plasma Simulation (Q6500187) (← links)
- Reduced-order models for array structures mounted on platforms with parameters variations (Q6539880) (← links)
- Randomized estimation of functional covariance operator via subsampling (Q6541611) (← links)
- Point spread function approximation of high-rank Hessians with locally supported nonnegative integral kernels (Q6543105) (← links)
- Randomized block Krylov subspace algorithms for low-rank quaternion matrix approximations (Q6543331) (← links)
- Efficient truncated randomized SVD for mesh-free kernel methods (Q6543637) (← links)
- A noninvasive system-level model order reduction scheme for flexible multibody simulation (Q6553471) (← links)
- Fixed-precision randomized low-rank approximation methods for nonlinear model order reduction of large systems (Q6554164) (← links)
- Randomized low-rank approximation methods for projection-based model order reduction of large nonlinear dynamical problems (Q6555374) (← links)
- Recent advancements in preconditioning techniques for large size linear systems suited for high performance computing (Q6557259) (← links)
- Randomized dynamic mode decomposition for nonintrusive reduced order modelling (Q6557432) (← links)
- Estimation of binary time-frequency masks from ambient noise (Q6561296) (← links)
- Preconditioner design via Bregman divergences (Q6561642) (← links)
- Fast and accurate randomized algorithms for linear systems and eigenvalue problems (Q6561643) (← links)
- SVD-based algorithms for fully-connected tensor network decomposition (Q6563146) (← links)
