Monte Carlo and Quasi-Monte Carlo Methods 2012: Springer Proceedings in Mathematics & Statistics, cartea 65
Editat de Josef Dick, Frances Y. Kuo, Gareth W. Peters, Ian H. Sloanen Limba Engleză Paperback – 27 aug 2016
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 943.94 lei 43-57 zile | |
Springer Berlin, Heidelberg – 27 aug 2016 | 943.94 lei 43-57 zile | |
Hardback (1) | 949.01 lei 43-57 zile | |
Springer Berlin, Heidelberg – 27 dec 2013 | 949.01 lei 43-57 zile |
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Specificații
ISBN-13: 9783662514382
ISBN-10: 3662514389
Pagini: 698
Ilustrații: XII, 686 p. 64 illus., 6 illus. in color.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.96 kg
Ediția:Softcover reprint of the original 1st ed. 2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Proceedings in Mathematics & Statistics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3662514389
Pagini: 698
Ilustrații: XII, 686 p. 64 illus., 6 illus. in color.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.96 kg
Ediția:Softcover reprint of the original 1st ed. 2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Proceedings in Mathematics & Statistics
Locul publicării:Berlin, Heidelberg, Germany
Cuprins
Part I: Invited Articles.- Part II: Tutorial.- Part III: Contributed Articles.- Conference Participants.- Index.
Textul de pe ultima copertă
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.
Caracteristici
State-of-the-art of theoretical development on Monte Carlo (MC), quasi-Monte Carlo (QMC) and Markov chain Monte Carlo (MCMC) methods Covers a variety of applications of MC, QMC, and MCMC Survey articles on MC, QMC, and MCMC introduce contemporary knowledge and open problems in these areas Includes supplementary material: sn.pub/extras