2004, ISBN: 9783540311867
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 wit… Mehr…
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2004, ISBN: 9783540311867
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 wit… Mehr…
Harald Niederreiter; Harald Niederreiter; Denis Talay; Denis Talay:
Monte Carlo and Quasi-Monte Carlo Methods 2004 - Erstausgabe2006, ISBN: 9783540311867
eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2006
2004
ISBN: 9783540311867
; PDF; Business,Finance and Law > Finance & accounting, Springer Berlin Heidelberg
2006, ISBN: 9783540311867
eBooks, eBook Download (PDF), 2006, [PU: Springer Berlin], Seiten: 514, Springer Berlin, 2006
2006, ISBN: 9783540311867
eBooks, eBook Download (PDF), 2006, [PU: Springer Berlin], Springer Berlin, 2006
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Detailangaben zum Buch - Monte Carlo and Quasi-Monte Carlo Methods 2004
EAN (ISBN-13): 9783540311867
ISBN (ISBN-10): 3540311866
Erscheinungsjahr: 2006
Herausgeber: Springer-Verlag
514 Seiten
Sprache: eng/Englisch
Buch in der Datenbank seit 2007-12-26T21:24:50+01:00 (Zurich)
Detailseite zuletzt geändert am 2023-02-26T22:50:33+01:00 (Zurich)
ISBN/EAN: 9783540311867
ISBN - alternative Schreibweisen:
3-540-31186-6, 978-3-540-31186-7
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: niederreiter, harald, talay
Titel des Buches: monte, carlo carlo, quasi come
Daten vom Verlag:
Autor/in: Harald Niederreiter; Denis Talay
Titel: Monte Carlo and Quasi-Monte Carlo Methods 2004
Verlag: Springer; Springer Berlin
514 Seiten
Erscheinungsjahr: 2006-02-08
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Deutschland.
Sprache: Englisch
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
X, 514 p. 73 illus.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Monte Carlo method; Monte Carlo methods; Quasi-Monte Carlo methods; mathematical finance; partial differential equations; scientific computing; simulation methods; quantitative finance; C; Probability Theory and Stochastic Processes; Analysis; Applications of Mathematics; Partial Differential Equations; Quantitative Finance; Mathematical and Computational Engineering; Probability Theory; Analysis; Applications of Mathematics; Differential Equations; Mathematics in Business, Economics and Finance; Mathematical and Computational Engineering Applications; Mathematics and Statistics; Stochastik; Mathematische Analysis, allgemein; Angewandte Mathematik; Differentialrechnung und -gleichungen; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; Mathematik für Ingenieure; BC
Invariance Principles with Logarithmic Averaging for Ergodic Simulations.- Technical Analysis Techniques versus Mathematical Models: Boundaries of Their Validity Domains.- Weak Approximation of Stopped Dffusions.- Approximation of Stochastic Programming Problems.- The Asymptotic Distribution of Quadratic Discrepancies.- Weighted Star Discrepancy of Digital Nets in Prime Bases.- Explaining Effective Low-Dimensionality.- Selection Criteria for (Random) Generation of Digital (0,s)-Sequences.- Imaging of a Dissipative Layer in a Random Medium Using a Time Reversal Method.- A Stochastic Numerical Method for Diffusion Equations and Applications to Spatially Inhomogeneous Coagulation Processes.- Non-Uniform Low-Discrepancy Sequence Generation and Integration of Singular Integrands.- Construction of Good Rank-1 Lattice Rules Based on the Weighted Star Discrepancy.- Probabilistic Approximation via Spatial Derivation of Some Nonlinear Parabolic Evolution Equations.- Myths of Computer Graphics.- Illumination in the Presence of Weak Singularities.- Irradiance Filtering for Monte Carlo Ray Tracing.- On the Star Discrepancy of Digital Nets and Sequences in Three Dimensions.- Lattice Rules for Multivariate Approximation in the Worst Case Setting.- Randomized Quasi-Monte Carlo Simulation of Markov Chains with an Ordered State Space.- Experimental Designs Using Digital Nets with Small Numbers of Points.- Concentration Inequalities for Euler Schemes.- Fast Component-by-Component Construction, a Reprise for Different Kernels.- A Reversible Jump MCMC Sampler for Object Detection in Image Processing.- Quasi-Monte Carlo for Integrands with Point Singularities at Unknown Locations.- Infinite-Dimensional Highly-Uniform Point Sets Defined via Linear Recurrences in $$\\mathbb{F}_{2^w } $$ .- Monte Carlo Studies of Effective Diffusivities for Inertial Particles.- An Adaptive Importance Sampling Technique.- MinT: A Database for Optimal Net Parameters.- On Ergodic Measures for McKean-Vlasov Stochastic Equations.- On the Distribution of Some New Explicit Inversive Pseudorandom Numbers and Vectors.- Error Analysis of Splines for Periodic Problems Using Lattice Designs.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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