Introduction to Monte Carlo methods

作者: Stefan Weinzierl

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摘要: These lectures given to graduate students in high energy physics, provide an introduction Monte Carlo methods. After overview of classical numerical quadrature rules, integration together with variance-reducing techniques is introduced. A short description on the generation pseudo-random numbers and quasi-random given. Finally, methods generate samples according a specified distribution are discussed. Among others, we outline Metropolis algorithm give existing algorithms for phase space final state particles collisions.

参考文章(3)
Philip J. Davis, Methods of Numerical Integration ,(1967)
William H. Press, Saul A. Teukolsky, Numerical recipes Computers in Physics. ,vol. 4, pp. 669- 672 ,(1990) , 10.1063/1.4822961