Pages that link to "Item:Q1674709"
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The following pages link to Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse (Q1674709):
Displaying 19 items.
- Multigrid deflation for lattice QCD (Q778340) (← links)
- Estimates of the trace of the inverse of a symmetric matrix using the modified Chebyshev algorithm (Q1027794) (← links)
- Extrapolation methods for estimating the trace of the matrix inverse (Q1624981) (← links)
- Interpolating log-determinant and trace of the powers of matrix \(\mathbf{A}+ t\mathbf{B}\) (Q2103995) (← links)
- An estimator for the diagonal of a matrix (Q2382753) (← links)
- Fast estimates for the diagonal of the inverse of large scale matrices appearing in applications (Q2423594) (← links)
- How accurately should I compute implicit matrix-vector products when applying the Hutchinson trace estimator? (Q2831087) (← links)
- Hierarchical probing for estimating the trace of the matrix inverse on toroidal lattices (Q2870692) (← links)
- Fast Estimation of $tr(f(A))$ via Stochastic Lanczos Quadrature (Q4588935) (← links)
- TRPL+K: Thick-Restart Preconditioned Lanczos+K Method for Large Symmetric Eigenvalue Problems (Q4632005) (← links)
- (Q4633029) (← links)
- Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure (Q5028556) (← links)
- Improved Variants of the Hutch++ Algorithm for Trace Estimation (Q5094217) (← links)
- Probing for the Trace Estimation of a Permuted Matrix Inverse Corresponding to a Lattice Displacement (Q5099863) (← links)
- Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations (Q5350223) (← links)
- PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations (Q5372627) (← links)
- Deflation as a Method of Variance Reduction for Estimating the Trace of a Matrix Inverse (Q5738167) (← links)
- Krylov-Aware Stochastic Trace Estimation (Q6094742) (← links)
- Faster randomized partial trace estimation (Q6638206) (← links)