Pages that link to "Item:Q3016255"
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The following pages link to Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix (Q3016255):
Displaying 50 items.
- Algorithms that satisfy a stopping criterion, probably (Q269806) (← links)
- Randomized estimation of spectral densities of large matrices made accurate (Q527821) (← links)
- Robust inversion, dimensionality reduction, and randomized sampling (Q715245) (← links)
- Improved bounds on sample size for implicit matrix trace estimators (Q887152) (← links)
- Schur properties of convolutions of gamma random variables (Q889154) (← links)
- Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse (Q1674709) (← links)
- GCV for Tikhonov regularization by partial SVD (Q1689313) (← links)
- Conditional gradient method for double-convex fractional programming matrix problems (Q1706413) (← links)
- Accelerating data uncertainty quantification by solving linear systems with multiple right-hand sides (Q1947188) (← links)
- Randomized block Krylov subspace methods for trace and log-determinant estimators (Q2045172) (← links)
- Interpolating log-determinant and trace of the powers of matrix \(\mathbf{A}+ t\mathbf{B}\) (Q2103995) (← links)
- Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems (Q2129320) (← links)
- A multigrid preconditioner for tensor product spline smoothing (Q2135908) (← links)
- The extended global Lanczos method, Gauss-Radau quadrature, and matrix function approximation (Q2195917) (← links)
- Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty (Q2214671) (← links)
- Solving large-scale interior eigenvalue problems to investigate the vibrational properties of the boson peak regime in amorphous materials (Q2234044) (← links)
- Direct optimization of BPX preconditioners (Q2237923) (← links)
- Error bounds for computed least squares estimators (Q2282771) (← links)
- Black-box learning of multigrid parameters (Q2291999) (← links)
- Stochastic sampling for deterministic structural topology optimization with many load cases: density-based and ground structure approaches (Q2310028) (← links)
- Bounding matrix functionals via partial global block Lanczos decomposition (Q2347487) (← links)
- A randomized algorithm for approximating the log determinant of a symmetric positive definite matrix (Q2404966) (← links)
- Randomized matrix-free trace and log-determinant estimators (Q2408935) (← links)
- Stochastic approximation of score functions for Gaussian processes (Q2443174) (← links)
- On randomized trace estimates for indefinite matrices with an application to determinants (Q2671299) (← links)
- Monte Carlo estimators for the Schatten \(p\)-norm of symmetric positive semidefinite matrices (Q2672173) (← links)
- Estimating the trace of matrix functions with application to complex networks (Q2679672) (← links)
- Hypercontractivity via tensor calculus (Q2695312) (← links)
- Interpolation of inverse operators for preconditioning parameter-dependent equations (Q2800437) (← links)
- Approximating spectral densities of large matrices (Q2808266) (← links)
- GCV for Tikhonov regularization via global Golub-Kahan decomposition. (Q2829107) (← links)
- How accurately should I compute implicit matrix-vector products when applying the Hutchinson trace estimator? (Q2831087) (← links)
- Efficient estimation of eigenvalue counts in an interval (Q2955976) (← links)
- Experimental Design for Nonparametric Correction of Misspecified Dynamical Models (Q3176250) (← links)
- Full Waveform Inversion Using Extended and Simultaneous Sources (Q3382796) (← links)
- Going Off the Grid: Iterative Model Selection for Biclustered Matrix Completion (Q3391180) (← links)
- Updating and Downdating Techniques for Optimizing Network Communicability (Q3460271) (← links)
- A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems (Q3464430) (← links)
- Improved Bounds for Small-Sample Estimation (Q4569574) (← links)
- Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems (Q4582677) (← links)
- Fast Estimation of $tr(f(A))$ via Stochastic Lanczos Quadrature (Q4588935) (← links)
- (Q4633029) (← links)
- Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations (Q4636356) (← links)
- Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems (Q4683935) (← links)
- Sampled Tikhonov regularization for large linear inverse problems (Q4973539) (← links)
- Stochastic estimates for the trace of functions of matrices via Hadamard matrices (Q4976541) (← links)
- Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness (Q4993271) (← links)
- Sequentially optimized projections in x-ray imaging <sup>*</sup> (Q4995176) (← links)
- A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations (Q5065464) (← links)
- Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments (Q5071443) (← links)
