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Monte Carlo Methods Utilizing Mathematica®

Applications in Inverse Transform and Acceptance-Rejection Sampling

Sujaul Chowdhury

Monte Carlo Methods Utilizing Mathematica®
Monte Carlo Methods Utilizing Mathematica®

Monte Carlo Methods Utilizing Mathematica®

Applications in Inverse Transform and Acceptance-Rejection Sampling

Sujaul Chowdhury

Paperback | English
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Description

This book provides practical demonstrations of how to carry out definite integrals with Monte Carlo methods using Mathematica. Random variates are sampled by the inverse transform method and the acceptance-rejection method using uniform, linear, Gaussian, and exponential probability distribution functions.



Sujaul Chowdhury, Ph.D., is a Professor in Department of Physics at Shahjalal University of Science and Technology. He also received his B.Sc. and M.Sc. in Physics from Shahjalal University of Science and Technology, before earning his Ph.D. at The University of Glasgow. After completing his Ph.D., Dr. Chowdhury was a Humboldt Research Fellow for one year at The Max Planck Institute. He is the author of many books, including Monte Carlo Methods: A Hands-On Computational Introduction Utilizing Excel, which is also in the Synthesis Lectures on Mathematics & Statistics series published by SpringerNature. His research interests include nanoelectronics, magnetotransport in semiconductor nanostructures, and nanostructure physics.

Specifications

  • Publisher
    Springer International Publishing AG
  • Pub date
    Feb 2024
  • Theme
    Probability and statistics
  • Dimensions
    240 x 168 mm
  • EAN
    9783031232961
  • Paperback
    Paperback
  • Language
    English

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