Monte Carlo Methods Utilizing Mathematica®: Applications in Inverse Transform and Acceptance-Rejection Sampling (Synthesis Lectures on Mathematics & Statistics) - Hardcover

Chowdhury, Sujaul

 
9783031232930: Monte Carlo Methods Utilizing Mathematica®: Applications in Inverse Transform and Acceptance-Rejection Sampling (Synthesis Lectures on Mathematics & Statistics)
Hardcover
ISBN 10: 3031232933 ISBN 13: 9783031232930
Verlag: Springer-Verlag GmbH, 2023

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

This book provides practical demonstrations of how to carry out definite integrals with Monte Carlo methods using Mathematica and using random variates sampled by the inverse transform method. The author covers the acceptance-rejection method using uniform, linear, Gaussian, and exponential probability distribution functions. This book also contains a chapter applying the Variational Quantum Monte Carlo method to a simple harmonic oscillator. These topics are all essential for students of mathematics and physics. The author includes thorough background on each topic covered within the book in order to help readers understand the subject. The book also contains many examples to show how the information can be applied. 

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Verlag
Springer-Verlag GmbH
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
3031232933
ISBN 13 
9783031232930
Einband
Tapa dura
Anzahl der Seiten
157
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Deutschland

Weitere beliebte Ausgaben desselben Titels

9783031232961: Monte Carlo Methods Utilizing Mathematica®: Applications in Inverse Transform and Acceptance-Rejection Sampling (Synthesis Lectures on Mathematics & Statistics)

Vorgestellte Ausgabe

ISBN 10:  3031232968 ISBN 13:  9783031232961
Verlag: Springer, 2024
Softcover