Deflation as a Method of Variance Reduction for Estimating the Trace of a Matrix Inverse
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Publication:5738167
DOI10.1137/16M1066361zbMath1365.65111arXiv1603.05988MaRDI QIDQ5738167
Andreas Stathopoulos, Kostas Orginos, Arjun Singh Gambhir
Publication date: 31 May 2017
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1603.05988
convergenceMonte Carlodeflationsingular valuesvariance reductionlattice quantum chromodynamicsrandom unitary matriceslarge, sparse matrixHutchinsontrace of matrix inverse
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Related Items (9)
Improved Variants of the Hutch++ Algorithm for Trace Estimation ⋮ A Multilevel Approach to Variance Reduction in the Stochastic Estimation of the Trace of a Matrix ⋮ Probing for the Trace Estimation of a Permuted Matrix Inverse Corresponding to a Lattice Displacement ⋮ Krylov-Aware Stochastic Trace Estimation ⋮ XT<scp>race</scp>: Making the Most of Every Sample in Stochastic Trace Estimation ⋮ Disconnected loop subtraction methods in lattice QCD ⋮ Nuclear matrix elements from lattice QCD for electroweak and beyond-standard-model processes ⋮ A Golub--Kahan Davidson Method for Accurately Computing a Few Singular Triplets of Large Sparse Matrices ⋮ Multigrid deflation for lattice QCD
Uses Software
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