A continuation multilevel Monte Carlo algorithm
Gespeichert in:
Verfasser / Beitragende:
[Nathan Collier, Abdul-Lateef Haji-Ali, Fabio Nobile, Erik von Schwerin, Raúl Tempone]
Ort, Verlag, Jahr:
2015
Enthalten in:
BIT Numerical Mathematics, 55/2(2015-06-01), 399-432
Format:
Artikel (online)
Online Zugang:
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| 024 | 7 | 0 | |a 10.1007/s10543-014-0511-3 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10543-014-0511-3 | ||
| 245 | 0 | 2 | |a A continuation multilevel Monte Carlo algorithm |h [Elektronische Daten] |c [Nathan Collier, Abdul-Lateef Haji-Ali, Fabio Nobile, Erik von Schwerin, Raúl Tempone] |
| 520 | 3 | |a We propose a novel Continuation Multi Level Monte Carlo (CMLMC) algorithm for weak approximation of stochastic models. The CMLMC algorithm solves the given approximation problem for a sequence of decreasing tolerances, ending when the required error tolerance is satisfied. CMLMC assumes discretization hierarchies that are defined a priori for each level and are geometrically refined across levels. The actual choice of computational work across levels is based on parametric models for the average cost per sample and the corresponding variance and weak error. These parameters are calibrated using Bayesian estimation, taking particular notice of the deepest levels of the discretization hierarchy, where only few realizations are available to produce the estimates. The resulting CMLMC estimator exhibits a non-trivial splitting between bias and statistical contributions. We also show the asymptotic normality of the statistical error in the MLMC estimator and justify in this way our error estimate that allows prescribing both required accuracy and confidence in the final result. Numerical results substantiate the above results and illustrate the corresponding computational savings in examples that are described in terms of differential equations either driven by random measures or with random coefficients. | |
| 540 | |a Springer Science+Business Media Dordrecht, 2014 | ||
| 690 | 7 | |a Multilevel Monte Carlo |2 nationallicence | |
| 690 | 7 | |a Monte Carlo |2 nationallicence | |
| 690 | 7 | |a Partial differential equations with random data |2 nationallicence | |
| 690 | 7 | |a Stochastic differential equations |2 nationallicence | |
| 690 | 7 | |a Bayesian inference |2 nationallicence | |
| 700 | 1 | |a Collier |D Nathan |u Environmental Sciences Division, Oak Ridge National Lab, Climate Change Science Institute (CCSI), Oak Ridge, USA |4 aut | |
| 700 | 1 | |a Haji-Ali |D Abdul-Lateef |u Applied Mathematics and Computational Sciences, KAUST, Thuwal, Saudi Arabia |4 aut | |
| 700 | 1 | |a Nobile |D Fabio |u MATHICSE-CSQI, EPF de Lausanne, Lausanne, Switzerland |4 aut | |
| 700 | 1 | |a von Schwerin |D Erik |u Department of Mathematics, Kungliga Tekniska Högskolan, 100 44, Stockholm, Sweden |4 aut | |
| 700 | 1 | |a Tempone |D Raúl |u Applied Mathematics and Computational Sciences, KAUST, Thuwal, Saudi Arabia |4 aut | |
| 773 | 0 | |t BIT Numerical Mathematics |d Springer Netherlands |g 55/2(2015-06-01), 399-432 |x 0006-3835 |q 55:2<399 |1 2015 |2 55 |o 10543 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10543-014-0511-3 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10543-014-0511-3 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Collier |D Nathan |u Environmental Sciences Division, Oak Ridge National Lab, Climate Change Science Institute (CCSI), Oak Ridge, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Haji-Ali |D Abdul-Lateef |u Applied Mathematics and Computational Sciences, KAUST, Thuwal, Saudi Arabia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Nobile |D Fabio |u MATHICSE-CSQI, EPF de Lausanne, Lausanne, Switzerland |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a von Schwerin |D Erik |u Department of Mathematics, Kungliga Tekniska Högskolan, 100 44, Stockholm, Sweden |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Tempone |D Raúl |u Applied Mathematics and Computational Sciences, KAUST, Thuwal, Saudi Arabia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t BIT Numerical Mathematics |d Springer Netherlands |g 55/2(2015-06-01), 399-432 |x 0006-3835 |q 55:2<399 |1 2015 |2 55 |o 10543 | ||