Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse
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Publication:1674709
DOI10.1016/j.jcp.2016.09.001zbMath1422.65069arXiv1507.07227OpenAlexW985544890MaRDI QIDQ1674709
Efstratios Gallopoulos, Jesse Laeuchli, Lingfei Wu, Vassilis Kalantzis, Andreas Stathopoulos
Publication date: 26 October 2017
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1507.07227
Computational methods for sparse matrices (65F50) Monte Carlo methods (65C05) Theory of matrix inversion and generalized inverses (15A09) Determinants, permanents, traces, other special matrix functions (15A15) Preconditioners for iterative methods (65F08)
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Improved Variants of the Hutch++ Algorithm for Trace Estimation, Fast Estimation of $tr(f(A))$ via Stochastic Lanczos Quadrature, Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations, Krylov-Aware Stochastic Trace Estimation, TRPL+K: Thick-Restart Preconditioned Lanczos+K Method for Large Symmetric Eigenvalue Problems, Deflation as a Method of Variance Reduction for Estimating the Trace of a Matrix Inverse, PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations, How Accurately Should I Compute Implicit Matrix-Vector Products When Applying the Hutchinson Trace Estimator?, Multigrid deflation for lattice QCD, Unnamed Item, Interpolating log-determinant and trace of the powers of matrix \(\mathbf{A}+ t\mathbf{B}\), Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure
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Cites Work
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- A survey of cross-validation procedures for model selection
- Estimates of the trace of the inverse of a symmetric matrix using the modified Chebyshev algorithm
- The concept of sequential optimality for problems in numerical analysis
- Certifying smoothness of discrete functions and measuring legitimacy of images
- Accelerating data uncertainty quantification by solving linear systems with multiple right-hand sides
- An estimator for the diagonal of a matrix
- Some large-scale matrix computation problems
- How Accurately Should I Compute Implicit Matrix-Vector Products When Applying the Hutchinson Trace Estimator?
- Moments of a linear operator, with applications to the trace of the inverse of matrices and the solution of equations
- Hierarchical Probing for Estimating the Trace of the Matrix Inverse on Toroidal Lattices
- Fast Sparse Selected Inversion
- SelInv---An Algorithm for Selected Inversion of a Sparse Symmetric Matrix
- The university of Florida sparse matrix collection
- Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix
- Computing and Deflating Eigenvalues While Solving Multiple Right-Hand Side Linear Systems with an Application to Quantum Chromodynamics
- Domain-Decomposition-Type Methods for Computing the Diagonal of a Matrix Inverse
- Optimum Sequential Search and Approximation Methods Under Minimum Regularity Assumptions
- A Preconditioned Hybrid SVD Method for Accurately Computing Singular Triplets of Large Matrices
- Monotone Piecewise Cubic Interpolation
- Quadrature Formulas for Monotone Functions
- Variational bounds on the entries of the inverse of a matrix
- On computing certain elements of the inverse of a sparse matrix
- Statistical Condition Estimation for Linear Systems
- Error Bounds for Interpolating Cubic Splines Under Various End Conditions
- Small-Sample Statistical Estimates for Matrix Norms
- A probing method for computing the diagonal of a matrix inverse
- PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations
- Extending the eigCG algorithm to nonsymmetric Lanczos for linear systems with multiple right-hand sides
- A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
- Regression modeling strategies. With applications to linear models, logistic regression and survival analysis