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1000 tulosta hakusanalla Carlo Gozzi

Monte Carlo and Quasi-Monte Carlo Methods 2002

Monte Carlo and Quasi-Monte Carlo Methods 2002

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2004
nidottu
This volume contains the refereed proceedings of the Fifth International Con- ference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Com- puting (MCQMC 2002) which was held at the National University of Sin- gapore from 25-28 November 2002. The programme of this conference was arranged by a committee consisting of Kai-Tai Fang (Hong Kong Baptist University), Paul Glasserman (Columbia University), Stefan Heinrich (Uni- versitat Kaiserslautern), Fred J. Hickernell (Hong Kong Baptist University), Pierre L'Ecuyer (Universite de Montreal), Harald Niederreiter (National Uni- versity of Singapore, chair), Erich Novak (Universitat Jena), Art B. Owen (Stanford University), Ian H. Sloan (University of New South Wales), Jerome Spanier (Claremont Graduate University), Denis Talay (INRIA Sophia An- tipolis), Simon Tavare (University of Southern California), Jian-Sheng Wang (National University of Singapore) and Henryk Wozniakowski (Columbia Uni- versity and University of Warsaw). MCQMC 2002 continued the tradition of biennial MCQMC conferences which was begun at the University of Nevada in Las Vegas, Nevada, USA, in June 1994 and followed by conferences at the University of Salzburg, Austria, in July 1996, the Claremont Colleges in Claremont, California, USA, in June 1998 and Hong Kong Baptist University in Hong Kong, China, in November 2000. The proceedings of these previous conferences were all published by Springer-Verlag, under the titles Monte Carlo and Quasi-Monte Carlo Meth- ods in Scientific Computing (H. Niederreiter and P. J. -S. Shiue, eds. ), Monte Carlo and Quasi-Monte Carlo Methods 1996 (H. Niederreiter, P.
Monte Carlo and Quasi-Monte Carlo Methods 2004

Monte Carlo and Quasi-Monte Carlo Methods 2004

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2005
nidottu
This volume represents the refereed proceedings of the Sixth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scienti?c Computing which was held in conjunction with the Second International C- ference on Monte Carlo and Probabilistic Methods for Partial Di?erential Equations at Juan-les-Pins, France, from 7-10 June 2004. The programme of this conference was arranged by a committee consisting of Henri Faure (U- versit' edeMarseille),PaulGlasserman(ColumbiaUniversity),StefanHeinrich (Universit. at Kaiserslautern), Fred J. Hickernell (Hong Kong Baptist Univ- sity), Damien Lamberton (Universit' e de Marne la Vall' ee), Bernard Lapeyre (ENPC-CERMICS), Pierre L'Ecuyer (Universit'edeMontr' eal), Pierre-Louis Lions (Coll' ege de France), Harald Niederreiter (National University of S- gapore, co-chair), Erich Novak (Universit. at Jena), Art B. Owen (Stanford University), Gilles Pag' es (Universit' e Paris 6), Philip Protter (Cornell U- versity), Ian H. Sloan (University of New South Wales), Denis Talay (INRIA Sophia Antipolis, co-chair), Simon Tavar' e (University of Southern California) and Henryk Wo' zniakowski (Columbia University and University of Warsaw). The organization of the conference was arranged by a committee consisting of Mireille Bossy and Etienne Tanr' e (INRIA Sophia Antipolis), and Madalina Deaconu(INRIALorraine). LocalarrangementswereinthehandsofMonique Simonetti and Marie-Line Ramfos (INRIA Sophia Antipolis).
Monte Carlo and Quasi-Monte Carlo Methods 2000

Monte Carlo and Quasi-Monte Carlo Methods 2000

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2002
nidottu
This volume represents the refereed proceedings of the Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC 2000) which was held at Hong Kong Baptist Uni- versity from November 27 to December 1, 2000. The program of this con- ference was arranged by a committee consisting of Kurt Binder (Univer- sitat Mainz), Kai-Tai Fang (Hong Kong Baptist University, co-chair), Rus- sel Caflisch (University of California at Los Angeles), George S. Fishman (University of North Carolina), Masanori Fushimi (Nanzan University), Paul Glasserman (Columbia University), Fred J. Hickernell (Hong Kong Baptist University), Pierre L'Ecuyer (Universite de Montreal), Harald Niederreiter (National University of Singapore, co-chair), Art B. Owen (Stanford Univer- sity), Ian H. Sloan (University of New South Wales), Jerome Spanier (Clare- mont Graduate University), Yuan Wang (Chinese Academy of Sciences), and Henryk Wozniakowski (Columbia University and University of Warsaw). The local arrangements were in the hands of an organizing committee compris- ing Wai-Yan Cheng (City University of Hong Kong), Kai-Tai Fang (Hong Kong Baptist University, co-chair), Minggao Gu (Chinese University of Hong Kong), Fred J. Hickernell (Hong Kong Baptist University, co-chair) , Irwin King (Chinese University of Hong Kong), Yue-Kuen Kwok (Hong Kong Uni- versity of Science and Technology), Li-Zhi Liao (Hong Kong Baptist Univer- sity), and Lei-Han Tang (Hong Kong Baptist University).
Monte-Carlo and Quasi-Monte Carlo Methods 1998

Monte-Carlo and Quasi-Monte Carlo Methods 1998

Springer-Verlag Berlin and Heidelberg GmbH Co. K
1999
nidottu
This book represents the refereed proceedings of the Third International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing which was held at Claremont Graduate University in 1998. An important feature are invited surveys of the state of the art in key areas such as multidimensional numerical integration, low-discrepancy point sets, random number generation, and applications of Monte Carlo and quasi-Monte Carlo methods. These proceedings include also carefully selected contributed papers on all aspects of Monte Carlo and quasi-Monte Carlo methods. The reader will be informed about current research in this very active area.
Monte Carlo and Quasi-Monte Carlo Methods 2006

Monte Carlo and Quasi-Monte Carlo Methods 2006

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2007
nidottu
This book presents the refereed proceedings of the Seventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, held in Ulm, Germany, in August 2006. The proceedings include carefully selected papers on many aspects of Monte Carlo and quasi-Monte Carlo methods and their applications. They also provide information on current research in these very active areas.
Monte Carlo Methods in Fuzzy Optimization

Monte Carlo Methods in Fuzzy Optimization

James J. Buckley; Leonard J. Jowers

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2008
sidottu
1. 1 Introduction The objective of this book is to introduce Monte Carlo methods to ?nd good approximate solutions to fuzzy optimization problems. Many crisp (nonfuzzy) optimization problems have algorithms to determine solutions. This is not true for fuzzy optimization. There are other things to discuss in fuzzy optimization, which we will do later onin the book, like? and
Monte Carlo-Algorithmen

Monte Carlo-Algorithmen

Thomas Müller-Gronbach; Erich Novak; Klaus Ritter

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2012
nidottu
Der Text gibt eine Einführung in die Mathematik und die Anwendungsmöglichkeiten der Monte Carlo-Methoden und verwendet dazu durchgängig die Sprache der Stochastik. Der Leser lernt die Grundprinzipien und wesentlichen Eigenschaften dieser Verfahren kennen und wird dadurch in den Stand versetzt, dieses wichtige algorithmische Werkzeug kompetent einsetzen und die Ergebnisse interpretieren zu können. Anhand ausgewählter Fragestellungen wird er außerdem an aktuelle Forschungsfragen und -ergebnisse in diesem Bereich herangeführt. Behandelt werden die direkte Simulation, Methoden zur Simulation von Verteilungen und stochastischen Prozessen, Varianzreduktion, sowie Markov Chain Monte Carlo-Methoden und die hochdimensionale Integration. Es werden Anwendungsbeispiele aus der Teilchenphysik und der Finanz- und Versicherungsmathematik präsentiert, und anhand des Integrationsproblems wird gezeigt, wie sich die Frage nach optimalen Algorithmen formulieren und beantworten lässt.
Monte Carlo and Quasi-Monte Carlo Methods 2008

Monte Carlo and Quasi-Monte Carlo Methods 2008

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2009
sidottu
This volume represents the refereed proceedings of the Eighth International C- ference on Monte Carlo and Quasi-Monte Carlo Methods in Scienti c Computing, which was held at the University of Montreal, from 6-11 July, 2008. It contains a limited selection of articles based on presentations made at the conference. The program was arranged with the help of an international committee consisting of: Ronald Cools, Katholieke Universiteit Leuven Luc Devroye, McGill University Henri Faure, CNRS Marseille Paul Glasserman, Columbia University Peter W. Glynn, Stanford University Stefan Heinrich, University of Kaiserslautern Fred J. Hickernell, Illinois Institute of Technology Aneta Karaivanova, Bulgarian Academy of Science Alexander Keller, mental images GmbH, Berlin Adam Kolkiewicz, University of Waterloo Frances Y. Kuo, University of New South Wales Christian Lecot, Universite de Savoie, Chambery Pierre L'Ecuyer, Universite de Montreal (Chair and organizer) Jun Liu, Harvard University Peter Mathe, Weierstrass Institute Berlin Makoto Matsumoto, Hiroshima University Thomas Muller-Gronbach, Otto von Guericke Universitat Harald Niederreiter, National University of Singapore Art B. Owen, Stanford University Gilles Pages, Universite Pierre et Marie Curie (Paris 6) Klaus Ritter, TU Darmstadt Karl Sabelfeld, Weierstrass Institute Berlin Wolfgang Ch. Schmid, University of Salzburg Ian H. Sloan, University of New South Wales Jerome Spanier, University of California, Irvine Bruno Tuf n, IRISA-INRIA, Rennes Henryk Wozniak ' owski, Columbia University. v vi Preface The local arrangements (program production, publicity, web site, registration, social events, etc.
Monte Carlo Methods in Fuzzy Optimization

Monte Carlo Methods in Fuzzy Optimization

James J. Buckley; Leonard J. Jowers

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2010
nidottu
1. 1 Introduction The objective of this book is to introduce Monte Carlo methods to ?nd good approximate solutions to fuzzy optimization problems. Many crisp (nonfuzzy) optimization problems have algorithms to determine solutions. This is not true for fuzzy optimization. There are other things to discuss in fuzzy optimization, which we will do later onin the book, like? and
Monte Carlo and  Quasi-Monte Carlo Methods 2010

Monte Carlo and Quasi-Monte Carlo Methods 2010

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2012
sidottu
This book represents the refereed proceedings of the Ninth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Warsaw (Poland) in August 2010. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte Carlo research. 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. The reader will be provided with information on latest developments in these very active areas. The book is an excellent reference for theoreticians and practitioners interested in solving high-dimensional computational problems arising, in particular, in finance and statistics.
Monte Carlo and Quasi-Monte Carlo Methods 2012

Monte Carlo and Quasi-Monte Carlo Methods 2012

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2013
sidottu
This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales (Australia) in February 2012. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte Carlo research. 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. The reader will be provided with information on latest developments in these very active areas. The book is an excellent reference for theoreticians and practitioners interested in solving high-dimensional computational problems arising, in particular, in finance, statistics and computer graphics.
Monte Carlo and Quasi-Monte Carlo Methods 2008

Monte Carlo and Quasi-Monte Carlo Methods 2008

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2014
nidottu
This volume represents the refereed proceedings of the Eighth International C- ference on Monte Carlo and Quasi-Monte Carlo Methods in Scienti c Computing, which was held at the University of Montreal, from 6-11 July, 2008. It contains a limited selection of articles based on presentations made at the conference. The program was arranged with the help of an international committee consisting of: Ronald Cools, Katholieke Universiteit Leuven Luc Devroye, McGill University Henri Faure, CNRS Marseille Paul Glasserman, Columbia University Peter W. Glynn, Stanford University Stefan Heinrich, University of Kaiserslautern Fred J. Hickernell, Illinois Institute of Technology Aneta Karaivanova, Bulgarian Academy of Science Alexander Keller, mental images GmbH, Berlin Adam Kolkiewicz, University of Waterloo Frances Y. Kuo, University of New South Wales Christian Lecot, Universite de Savoie, Chambery Pierre L'Ecuyer, Universite de Montreal (Chair and organizer) Jun Liu, Harvard University Peter Mathe, Weierstrass Institute Berlin Makoto Matsumoto, Hiroshima University Thomas Muller-Gronbach, Otto von Guericke Universitat Harald Niederreiter, National University of Singapore Art B. Owen, Stanford University Gilles Pages, Universite Pierre et Marie Curie (Paris 6) Klaus Ritter, TU Darmstadt Karl Sabelfeld, Weierstrass Institute Berlin Wolfgang Ch. Schmid, University of Salzburg Ian H. Sloan, University of New South Wales Jerome Spanier, University of California, Irvine Bruno Tuf n, IRISA-INRIA, Rennes Henryk Wozniak ' owski, Columbia University. v vi Preface The local arrangements (program production, publicity, web site, registration, social events, etc.
Monte Carlo Methods

Monte Carlo Methods

Karl K. Sabelfeld

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2011
nidottu
This book deals with Random Walk Methods for solving multidimensional boundary value problems. Monte Carlo algorithms are constructed for three classes of problems: (1) potential theory, (2) elasticity, and (3) diffusion. Some of the advantages of our new methods as compared to conventional numerical methods are that they cater for stochasticities in the boundary value problems and complicated shapes of the boundaries.