2010Unpublished venueRequires access

The Monte Carlo Methods and Quasi Monte Carlo Methods for Systems of Linear Algebraic Equations

LU Xiu-yu

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Abstract

The Monte Carlo methods,Quasi-Monte Carlo methods for solving Systems of Linear Algebraic Equations(SLAE),and the error,the convergence rate of each method were analyzed.The error was caused by three aspects:the truncation error,the methods per se,the pseudo-random number and low-discrepancy sequences not uniform.In respect of convergence rate,Monte Carlo methods did not depend on the scale of problems and the number of walks.Quasi-Monte Carlo methods did not depend on the scale of problems either,but depended on the number of walks.In addition,the conditions of using the Monte Carlo methods,Quasi-Monte Carlo methods and the numerical experiments discussed,Quasi-Monte Carlo methods were chosen to solve Linear Algebraic Equations(LAE) in general condition.

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What this paper is about

The Monte Carlo methods,Quasi-Monte Carlo methods for solving Systems of Linear Algebraic Equations(SLAE),and the error,the convergence rate of each method were analyzed.The error was caused by three aspects:the truncation error,the methods per se,the pseudo-random number and low-discrepancy sequences not uniform.In respect of convergence rate,Monte Carlo methods did not depend on the scale of problems and the number of walks.Quasi-Monte Carlo methods did not depend on the scale of problems either,but depended on the number of walks.In addition,the conditions of using the Monte Carlo methods,Quasi-Monte Carlo methods and the numerical experiments discussed,Quasi-Monte Carlo methods were chosen to solve Linear Algebraic Equations(LAE) in general condition.

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Available abstract

The Monte Carlo methods,Quasi-Monte Carlo methods for solving Systems of Linear Algebraic Equations(SLAE),and the error,the convergence rate of each method were analyzed.The error was caused by three aspects:the truncation error,the methods per se,the pseudo-random number and low-discrepancy sequences not uniform.In respect of convergence rate,Monte Carlo methods did not depend on the scale of problems and the number of walks.Quasi-Monte Carlo methods did not depend on the scale of problems either,but depended on the number of walks.In addition,the conditions of using the Monte Carlo methods,Quasi-Monte Carlo methods and the numerical experiments discussed,Quasi-Monte Carlo methods were chosen to solve Linear Algebraic Equations(LAE) in general condition.

Key concepts: Monte Carlo method, Quasi-Monte Carlo method, Monte Carlo molecular modeling, Monte Carlo method in statistical physics, Dynamic Monte Carlo method, Monte Carlo integration, Hybrid Monte Carlo, Mathematics

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