Sequential Monto Carlo techniques for the solution of linear systems
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Publication:1891301
DOI10.1007/BF01578388zbMath0844.65023MaRDI QIDQ1891301
Publication date: 8 September 1996
Published in: Journal of Scientific Computing (Search for Journal in Brave)
numerical experimentsMonte Carlo methodconjugate gradient methodMarkov processrandom walkGauss-Seidel methodJacobi methodsequential samplinglarge linear systemsMonte Carlo estimation
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Uses Software
Cites Work
- Point sets and sequences with small discrepancy
- On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
- Low-discrepancy and low-dispersion sequences
- The dispersion of the Hammersley sequence in the unit square
- On the thickness of graphs of given degree
- Random sequences in Fréchet spaces
- Random sequences in generalized Cantor sets
- Reject the rejection technique
- Pseudo-random trees: Multiple independent sequence generators for parallel and branching computations
- The extreme and \(L^2\) discrepancies of some plane sets
- On Discrete Operators Connected with the Dirichlet Problem
- Some Continuous Monte Carlo Methods for the Dirichlet Problem
- A New Pseudo-Random Number Generator
- Serial Correlation in the Generation of Pseudo-Random Numbers
- Quasi-Monte Carlo methods and pseudo-random numbers
- Deterministic Simulation of Random Processes
- A Retrospective and Prospective Survey of the Monte Carlo Method
- The Efficiency of Sequential Estimates and Wald's Equation for Sequential Processes
- Bayes Solutions of Sequential Decision Problems
- A Note on the Inversion of Matrices by Random Walks
- Monte Carlo Matrix Inversion and Recurrent Events
- On the Duration of Random Walks
- “Monte Carlo” Methods for the Iteration of Linear Operators
- On Sequential Binomial Estimation
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