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T. Booth

4 papers hereh-index 223.7k citations112 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech3
  • physics.comp-ph1
same name
  • T. Booth — 14 papers, h 30
  • T. Booth — 11 papers, h 26
  • T. Booth — 3 papers, h 1
  • T. Booth — 1 paper, h 2
  • T. Booth — 1 paper, h 1
  • T. Booth — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedMultiple Extremal Eigenpairs by the Power Method

29 citations · 59 across the 4 of their papers we have counts for

collaborators

4 papers

physics.comp-ph2008★ 22 cited

Monte Carlo Determination of Multiple Extremal Eigenpairs

T. E. Booth, J. E. Gubernatis

We present a Monte Carlo algorithm that allows the simultaneous determination of a few extremal eigenpairs of a very large matrix without the need to compute the inner product of t…

cond-mat.stat-mech2008★ 1 cited

Sewing Algorithm

T. E. Booth, J. E. Gubernatis

We present a procedure that in many cases enables the Monte Carlo sampling of states of a large system from the sampling of states of a smaller system. We illustrate this procedure…

cond-mat.stat-mech2008★ 7 cited

Multiple Extremal Eigenpairs of Very Large Matrices by Monte Carlo Simulation

T. E. Booth, J. E. Gubernatis

We present a new Monte Carlo algorithm that allows the simultaneous determination of a few extremal eigenpairs of a very large matrix. It extends the power method and uses a new sa…

cond-mat.stat-mech2008★ 29 cited

Multiple Extremal Eigenpairs by the Power Method

J. E. Gubernatis, T. E. Booth

We report the production and benchmarking of several refinements of the power method that enable the computation of multiple extremal eigenpairs of very large matrices. In these re…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.