Pierre L'Ecuyer – författare

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.

​This book presents the refereed proceedings of the 13th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Rennes, France, and organized by Inria, in July 2018. 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 and computer graphics.

​This book presents the refereed proceedings of the 13th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Rennes, France, and organized by Inria, in July 2018. 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 and computer graphics.

​This book presents the refereed proceedings of the 13th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Rennes, France, and organized by Inria, in July 2018. 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 and computer graphics.

Computational Science is becoming a vital part of many scienti?c investi- tions, impacting researchers and practitioners in areas ranging from aerospace andautomotiveto chemistry,electronics,geosciences,?nance,mathematics,and physics. Due to the sheer size of many challenges in computational science, the use of supercomputing, parallel processing, and sophisticated algorithms is - evitable. This volume contains the proceedings of The 2003 International Conference on Computational Science and Its Applications (ICCSA 2003), held in M- treal, Canada in May 2003. The papers presented here re?ect the aim of the programcommittee to bring together researchersand scientists from mathem- ics and computer science, the basic computing disciplines, and researchers from various application areas who are pioneering advanced application of compu- tional methods to sciences such as physics, chemistry, life sciences, engineering, arts, and the humanities, along with software developers and vendors, to d- cuss problems and solutions in the area, identify new issues, and shape future directions for research, as well as help industrial users apply various advanced computational techniques.Our outstanding invited speakers outlined the theme for the Conference, consideringsophisticatednumericalcomputationalmethods,emergingcompu- tional solutions, and problems and applications pushing the bounds of advanced computing techniques and hardware. This Conference was held as the ?rst in its series, with an emphasis on C- putational Science and the application of computational science. Interest from researchers and practitioners in this interdisciplinary area has been overwhe- ing, and we are looking forward to future events in this Conference series.

Computational Science is becoming a vital part of many scienti?c investi- tions, impacting researchers and practitioners in areas ranging from aerospace andautomotiveto chemistry,electronics,geosciences,?nance,mathematics,and physics. Due to the sheer size of many challenges in computational science, the use of supercomputing, parallel processing, and sophisticated algorithms is - evitable. This volume contains the proceedings of The 2003 International Conference on Computational Science and Its Applications (ICCSA 2003), held in M- treal, Canada in May 2003. The papers presented here re?ect the aim of the programcommittee to bring together researchersand scientists from mathem- ics and computer science, the basic computing disciplines, and researchers from various application areas who are pioneering advanced application of compu- tional methods to sciences such as physics, chemistry, life sciences, engineering, arts, and the humanities, along with software developers and vendors, to d- cuss problems and solutions in the area, identify new issues, and shape future directions for research, as well as help industrial users apply various advanced computational techniques.Our outstanding invited speakers outlined the theme for the Conference, consideringsophisticatednumericalcomputationalmethods,emergingcompu- tional solutions, and problems and applications pushing the bounds of advanced computing techniques and hardware. This Conference was held as the ?rst in its series, with an emphasis on C- putational Science and the application of computational science. Interest from researchers and practitioners in this interdisciplinary area has been overwhe- ing, and we are looking forward to future events in this Conference series.

Computational Science is becoming a vital part of many scienti?c investi- tions, impacting researchers and practitioners in areas ranging from aerospace andautomotiveto chemistry,electronics,geosciences,?nance,mathematics,and physics. Due to the sheer size of many challenges in computational science, the use of supercomputing, parallel processing, and sophisticated algorithms is - evitable. This volume contains the proceedings of The 2003 International Conference on Computational Science and Its Applications (ICCSA 2003), held in M- treal, Canada in May 2003. The papers presented here re?ect the aim of the programcommittee to bring together researchersand scientists from mathem- ics and computer science, the basic computing disciplines, and researchers from various application areas who are pioneering advanced application of compu- tional methods to sciences such as physics, chemistry, life sciences, engineering, arts, and the humanities, along with software developers and vendors, to d- cuss problems and solutions in the area, identify new issues, and shape future directions for research, as well as help industrial users apply various advanced computational techniques.Our outstanding invited speakers outlined the theme for the Conference, consideringsophisticatednumericalcomputationalmethods,emergingcompu- tional solutions, and problems and applications pushing the bounds of advanced computing techniques and hardware. This Conference was held as the ?rst in its series, with an emphasis on C- putational Science and the application of computational science. Interest from researchers and practitioners in this interdisciplinary area has been overwhe- ing, and we are looking forward to future events in this Conference series.