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Explorations in Monte Carlo Methods

E-BookPDF1 - PDF WatermarkE-Book
243 Seiten
Englisch
Springer New Yorkerschienen am11.08.20092009
Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered in this book include optimization, finance, statistical mechanics, birth and death processes, and gambling systems.

Explorations in Monte Carlo Methods provides a hands-on approach to learning this subject. Each new idea is carefully motivated by a realistic problem, thus leading from questions to theory via examples and numerical simulations. Programming exercises are integrated throughout the text as the primary vehicle for learning the material. Each chapter ends with a large collection of problems illustrating and directing the material. This book is suitable as a textbook for students of engineering and the sciences, as well as mathematics.mehr
Verfügbare Formate
BuchGebunden
EUR59,99
BuchKartoniert, Paperback
EUR53,45
E-BookPDF1 - PDF WatermarkE-Book
EUR58,84

Produkt

KlappentextMonte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered in this book include optimization, finance, statistical mechanics, birth and death processes, and gambling systems.

Explorations in Monte Carlo Methods provides a hands-on approach to learning this subject. Each new idea is carefully motivated by a realistic problem, thus leading from questions to theory via examples and numerical simulations. Programming exercises are integrated throughout the text as the primary vehicle for learning the material. Each chapter ends with a large collection of problems illustrating and directing the material. This book is suitable as a textbook for students of engineering and the sciences, as well as mathematics.
Details
Weitere ISBN/GTIN9780387878379
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2009
Erscheinungsdatum11.08.2009
Auflage2009
ReiheUndergraduate Texts in Mathematics
Seiten243 Seiten
SpracheEnglisch
IllustrationenXII, 243 p.
Artikel-Nr.5008790
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
to Monte Carlo Methods.- Some Probability Distributions and Their Uses.- Markov Chain Monte Carlo.- Optimization by Monte Carlo Methods.- Random Walks.mehr

Autor

Ronald Shonkwiler is also publishing Mathematical Biology: An Introduction with Maple and Matlab, that will will be available in 2008. He is professor emeritus at Georgia Institute of Technology School of Mathematics. He received his PhD in 1970. His areas of expertise include: stochastic processes, optimization, computer simulation, Monte Carlo numerical methods, mathematical biology, and reproducing Kernel Hilbert spaces.

Franklin Mendevil is a professor at Acadia University in Nova Scotia. He received his PhD in 1996 at Georgia Institute of Technology. He has co-authored numerous papers and publications, several of which were with Dr. Shonkwiler.