img Leseprobe Leseprobe

Monte Carlo and Quasi-Monte Carlo Methods

MCQMC 2016, Stanford, CA, August 14-19

Art B. Owen (Hrsg.), Peter W. Glynn (Hrsg.)

PDF
ca. 96,29
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Anwendungs-Software

Beschreibung

This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at Stanford University (California) in August 2016.  These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. 

The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising in particular, in finance, statistics, computer graphics and the solution of PDEs.

Weitere Titel von diesem Autor
Weitere Titel in dieser Kategorie
Cover The Official Raspberry Pi Handbook 2025
The Makers of The MagPi magazine
Cover Coderspeak
Guilherme Orlandini Heurich
Cover Learn C++ by Example
Frances Buontempo

Kundenbewertungen

Schlagwörter

Cubature, Quasi-Monte Carlo, Discrepancy, Probabilistic Numerics, Importance Sampling, Bayesian Computation, Quadrature, Markov Chain Monte Carlo, Multilevel Monte Carlo, Monte Carlo, Lattice Rules, Simulation, Computational Complexity, Sequential Monte Carlo, Graphical Rendering, Stochastic Computation