Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Monte Carlo Methods Utilizing Mathematica®

Applications in Inverse Transform and Acceptance-Rejection Sampling
BuchKartoniert, Paperback
149 Seiten
Englisch
Springererschienen am26.02.20242023
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.mehr
Verfügbare Formate
BuchGebunden
EUR42,79
BuchKartoniert, Paperback
EUR42,79
E-BookPDF1 - PDF WatermarkE-Book
EUR42,79

Produkt

KlappentextThis 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.
Details
ISBN/GTIN978-3-031-23296-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum26.02.2024
Auflage2023
Seiten149 Seiten
SpracheEnglisch
Gewicht281 g
IllustrationenVIII, 149 p. 46 illus., 25 illus. in color.
Artikel-Nr.55869080

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Schlagworte

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.