Monte Carlo Methods Utilizing Mathematica®

Sujaul Chowdhury

ISBN 10: 3031232968 / ISBN 13: 9783031232961

Published by Springer Nature Switzerland, Springer Nature Switzerland Feb 2024, 2024

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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. A chapter on the application of the Variational Quantum Monte Carlo method to a simple harmonic oscillator is included. 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 methods can be applied.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch.

Seller Inventory # 9783031232961

Bibliographic Details

• Title: Monte Carlo Methods Utilizing Mathematica®
• Publisher: Springer Nature Switzerland, Springer Nature Switzerland Feb 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 3031232968
• ISBN 13: 9783031232961
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 168H x 9D millimeters 240 millimeters width by 168 millimeters height by 9 millimeters depth
• Weight: 281 grams

About this title

Synopsis

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.  A chapter on the application of the Variational Quantum Monte Carlo method to a simple harmonic oscillator is included. 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 methods can be applied.  

About the Author

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.