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Uncertainty quantification using Bayesian arbitrary polynomial chaos for computationally demanding environmental modelling: conventional, sparse and adaptive strategy

S. Oladyshkin, F. Beckers, I. Kroeker, F. Mohammadi, A. Heredia, M. Noack, B. Flemisch, S. Wieprecht, and W. Nowak. Computational Methods in Water Resources (CMWR), (2020)

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Philipp Noack University of Stuttgart

M. Nudischer

M. Kratzer

M. Liewald

M. Fittingho

Other publications of authors with the same name

A multi-parameter approach to quantify riverbed clogging and vertical hyporheic connectivityB. Medeiros Fernandes Negreiros, A. Galdos, L. Seitz, M. Noack, S. Schwindt, S. Wieprecht, and S. Haun. River research and applications, 39 (8): 1659-1666 (2023)Restoration of membrane TNF-like activity by cell surface targeting and matrix metalloproteinase-mediated processing of a TNF prodrugJ. Gerspach, D. Müller, S. Münkel, O. Selchow, J. Nemeth, M. Noack, H. Petrul, A. Menrad, H. Wajant, and K. Pfizenmaier. Cell Death and Differentiation, 13 (2): 273--284 (2006)Uncertainty quantification using Bayesian arbitrary polynomial chaos for computationally demanding environmental modelling: conventional, sparse and adaptive strategyS. Oladyshkin, F. Beckers, I. Kroeker, F. Mohammadi, A. Heredia, M. Noack, B. Flemisch, S. Wieprecht, and W. Nowak. Computational Methods in Water Resources (CMWR), (2020)Functional Verification of a Multiple-issue, Pipelined, Superscalar Alpha Processor - the Alpha 21164 CPU ChipM. Kantrowitz, and L. Noack. Digital Technical Journal, (1995)I'm Done Simulating: Now What? Verification Coverage Analysis and Correctness Checking of the DECchip 21164 Alpha Microprocessor.M. Kantrowitz, and L. Noack. DAC, page 325-330. ACM Press, (1996)

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