Indispensable for students, invaluable for researchers, this comprehensive treatment of contemporary quasi–Monte Carlo methods, digital nets and sequences, and discrepancy theory starts from scratch with detailed explanations of the basic concepts and then advances to current methods used in research. As deterministic versions of the Monte Carlo method, quasi–Monte Carlo rules have increased in popularity, with many fruitful applications in mathematical practice. These rules require nodes with good uniform distribution properties, and digital nets and sequences in the sense of Niederreiter are known to be excellent candidates. Besides the classical theory, the book contains chapters on reproducing kernel Hilbert spaces and weighted integration, duality theory for digital nets, polynomial lattice rules, the newest constructions by Niederreiter and Xing and many more. The authors present an accessible introduction to the subject based mainly on material taught in undergraduate courses with numerous examples, exercises and illustrations.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Josef Dick is a lecturer in the School of Mathematics and Statistics at the University of New South Wales, Australia.
Friedrich Pillichshammer is a Professor in the Institute for Financial Mathematics at the University of Linz, Austria.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Antiquariat Renner OHG, Albstadt, Allemagne
Hardcover. Etat : Sehr gut. Cambridge UP (2010). gr.8°. XVII, 600 p. Hardbound. With exercises.- Small annotation on flyleaf, 3 leaves with dog-ear, otherwise in very good condition. N° de réf. du vendeur 86477
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Hardcover. Etat : new. Hardcover. Indispensable for students, invaluable for researchers, this comprehensive treatment of contemporary quasiMonte Carlo methods, digital nets and sequences, and discrepancy theory starts from scratch with detailed explanations of the basic concepts and then advances to current methods used in research. As deterministic versions of the Monte Carlo method, quasiMonte Carlo rules have increased in popularity, with many fruitful applications in mathematical practice. These rules require nodes with good uniform distribution properties, and digital nets and sequences in the sense of Niederreiter are known to be excellent candidates. Besides the classical theory, the book contains chapters on reproducing kernel Hilbert spaces and weighted integration, duality theory for digital nets, polynomial lattice rules, the newest constructions by Niederreiter and Xing and many more. The authors present an accessible introduction to the subject based mainly on material taught in undergraduate courses with numerous examples, exercises and illustrations. Students will find this book indispensable as it introduces high-dimensional numerical integration and discrepancy theory from scratch with hundreds of examples and exercises. It also includes the newest results on quasiMonte Carlo, digital nets and sequences, and discrepancy, making it an invaluable reference for researchers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780521191593
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Students will find this book indispensable as it introduces high-dimensional numerical integration and discrepancy theory from scratch with hundreds of examples and exercises. It also includes the newest results on quasi-Monte Carlo, digital nets and sequen. N° de réf. du vendeur 446929473
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