Cellular Probabilistic Automata---A Novel Method for Uncertainty Propagation

DOI10.1137/120897183zbMath1306.65004arXiv1302.1184OpenAlexW2168237502MaRDI QIDQ2938433

Johannes Müller, Utz Wever, D. Kohler

Publication date: 14 January 2015

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1302.1184

zbMATH Keywords

cellular automataset oriented numericsMonte Carlo computationsuncertainty propagation for partial differential equations

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Cellular automata (computational aspects) (68Q80) Dynamical aspects of cellular automata (37B15) Simulation of dynamical systems (37M05)

Related Items (3)

Cellular non-deterministic automata and partial differential equations ⋮ A new network approach to Bayesian inference in partial differential equations ⋮ Overlapping Clustering Based Technique for Scalable Uncertainty Quantification in Physical Systems

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