Zobrazeno 1 - 10
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pro vyhledávání: '"Steven Mattis"'
Dynamical systems arise in a wide variety of mathematical models from science and engineering. A common challenge is to quantify uncertainties on model inputs (parameters) that correspond to a quantitative characterization of uncertainties on observa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856676de2c438475882adee28a2e1127
Publikováno v:
Computational Geosciences, 23 (2). pp. 355-372.
Methane gas hydrates have increasingly become a topic of interest because of their potential as a future energy resource. There are significant economical and environmental risks associated with extraction from hydrate reservoirs, so a variety of mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f94842ccbdd952ba1148e6864c9fd181
https://doi.org/10.1007/s10596-018-9769-x
https://doi.org/10.1007/s10596-018-9769-x
Publikováno v:
Computational Geosciences. 23:631-645
Specification of hydraulic conductivity as a model parameter in groundwater flow and transport equations is an essential step in predictive simulations. It is often infeasible in practice to characterize this model parameter at all points in space du
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa2c90f84d0a6ce2e53fa7751a4c2461
https://doi.org/10.1007/s10596-018-9762-4
https://doi.org/10.1007/s10596-018-9762-4
Publikováno v:
SIAM Journal on Scientific Computing. 39:A2072-A2098
The integration of functions over measurable sets is a fundamental problem in computational science. When the measurable sets belong to high-dimensional spaces or the function is computationally complex, it may only be practical to estimate integrals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a34e6273855d24896b880e69e20d8af4
https://doi.org/10.1137/16m1063289
https://doi.org/10.1137/16m1063289
Publikováno v:
Journal of Waterway, Port, Coastal, and Ocean Engineering. 145
Coastal vegetation has a well-known effect of attenuating waves; however, quantifiable measures of attenuation for general wave and vegetation scenarios are not well known, so field and laboratory studies must be performed for individual setups. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6177be6f251b2e73a1699da4254f0781
https://doi.org/10.1061/(asce)ww.1943-5460.0000487
https://doi.org/10.1061/(asce)ww.1943-5460.0000487
Publikováno v:
Journal of Psychiatry and Brain Science (2019)
Among aggressive youths with severe mood lability who frequently fail to benefit from mood stabilizers and antipsychotics there is a discrete subtype called ‘Thermoregulatory Fear of Harm Mood Disorder’ (FOH). This disorder is characterized by an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be7f44fb43a43c02129b34274360cae5
https://doi.org/10.20900/jpbs.20190004
https://doi.org/10.20900/jpbs.20190004
Publikováno v:
Computational Geosciences. 21:187-204
The problem of multiphase phase flow in heterogeneous subsurface porous media is one involving many uncertainties. In particular, the permeability of the medium is an important aspect of the model that is inherently uncertain. Properly quantifying th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d305c4f53dc85ce615a55e0690da3569
https://doi.org/10.1007/s10596-016-9603-2
https://doi.org/10.1007/s10596-016-9603-2
Publikováno v:
Advances in Water Resources. 135:103472
The use of the active subspace method was recently proposed to reduce the dimension of complex hydrological models, perform sensitivity analysis of model parameters and quantify the uncertainty affecting model parameters. Although this inversion meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f81137be01b5f199fa02bb61e082df9
https://doi.org/10.1016/j.advwatres.2019.103472
https://doi.org/10.1016/j.advwatres.2019.103472
In this article, we perform a parameter study for a recently developed karst hydrological model. The study consists of a high-dimensional Bayesian inverse problem and a global sensitivity analysis. For the first time in karst hydrology, we use the ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35ec52c7fb435705e1a845420c534782
https://mediatum.ub.tum.de/1542154
https://mediatum.ub.tum.de/1542154
Autor:
Steven Mattis, Barbara Wohlmuth
Stochastic inverse problems are generally solved by some form of finite sampling of a space of uncertain parameters. For computationally expensive models, surrogate response surfaces are often employed to increase the number of samples used in approx
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e116afce8fdf40bcb5845cb029fbf664