Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sebastian Moraga"'
Sparse polynomial approximation is an important tool for approximating high-dimensional functions from limited samples – a task commonly arising in computational science and engineering. Yet, it lacks a complete theory. There is a well-develop
A Banach spaces-based analysis of a new fully-mixed finite element method for the Boussinesq problem
Publikováno v:
ESAIM: Mathematical Modelling and Numerical Analysis. 54:1525-1568
In this paper we propose and analyze, utilizing mainly tools and abstract results from Banach spaces rather than from Hilbert ones, a new fully-mixed finite element method for the stationary Boussinesq problem with temperature-dependent viscosity. Mo
Publikováno v:
The SMAI journal of computational mathematics. 6:125-157
Modelling the response of hydrological processes to the changing climate requires the use of a chain of numerical models, each of which contributes some degree of uncertainty to the final outputs. As a result, hydrological projections, despite the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ada244352bdcf2749901538eb7d0aae7
https://doi.org/10.22541/au.164330650.04764772/v1
https://doi.org/10.22541/au.164330650.04764772/v1
Publikováno v:
High-Dimensional Optimization and Probability ISBN: 9783031008313
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ea4dcc8a190453279ad97c3e5901136
https://doi.org/10.1007/978-3-031-00832-0_2
https://doi.org/10.1007/978-3-031-00832-0_2
Publikováno v:
IAHS Scientific Assembly 2022
Hydrological projections in the context of a changing climate may display high levels of uncertainty, particularly when examining small temporal and spatial scales. To project the response of hydrological processes to the increasing global temperatur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::974580b17aea01a459e6b5fda9f68da4
https://hdl.handle.net/20.500.11850/594584
https://hdl.handle.net/20.500.11850/594584
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.