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Monte Carlo Methods Utilizing Mathematica®
Details
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.
Demonstrates how to carry out definite integrals with Monte Carlo methods using Mathematica and random variates Shows readers how to apply the Variational Quantum Monte Carlo method to a simple harmonic oscillator Includes thorough background and examples for each topic covered in order to help readers understand the subject
Autorentext
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 and Monte Carlo Methods Utilizing Mathematica®: Applications in Inverse Transform and Acceptance-Rejection Sampling, which are also in the Synthesis Lectures on Mathematics & Statistics series published by Springer Nature. His research interests include nanoelectronics, magnetotransport in semiconductor nanostructures, and nanostructure physics. Abdullah Al Sakib is an M.S. student in the Department of Physics at Shahjalal University of Science and Technology.
Inhalt
Introduction for Part I.- Evaluation of Definite Integrals Using Inverse Transform Sampling Utilizing Mathematica.- Introduction for Part II.- Evaluation of Definite Integrals Using Acceptance-rejection Sampling Utilizing Matematica.- Variational Monte Carlo Method Applied to Ground State of Simple Harmonic Oscillator Using Acceptance-rejection Sampling Utilizing Mathematica. <p
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031232961
- Genre Maths
- Sprache Englisch
- Lesemotiv Verstehen
- Anzahl Seiten 149
- Herausgeber Springer
- Größe H8mm x B168mm x T240mm
- Jahr 2024
- EAN 9783031232961
- Format Kartonierter Einband
- ISBN 978-3-031-23296-1
- Titel Monte Carlo Methods Utilizing Mathematica®
- Autor Sujaul Chowdhury
- Untertitel Applications in Inverse Transform and Acceptance-Rejection Sampling
- Gewicht 281g