Results 41 to 50 of about 24,483 (292)

Prediction of Discretization of GMsFEM Using Deep Learning

open access: yesMathematics, 2019
In this paper, we propose a deep-learning-based approach to a class of multiscale problems. The generalized multiscale finite element method (GMsFEM) has been proven successful as a model reduction technique of flow problems in heterogeneous and high ...
Min Wang   +5 more
doaj   +1 more source

Proper general decomposition (PGD) for the resolution of Navier–Stokes equations [PDF]

open access: yes, 2011
In this work, the PGD method will be considered for solving some problems of fluid mechanics by looking for the solution as a sum of tensor product functions. In the first stage, the equations of Stokes and Burgers will be solved. Then, we will solve the
ALLERY, Cyrille   +5 more
core   +1 more source

From Domain Decomposition to Model Reduction for Large Nonlinear Structures

open access: yesComptes Rendus. Mécanique, 2023
The numerical simulation of multiscale and multiphysics problems requires efficient tools for spatial localization and model reduction. A general strategy combining Domain Decomposition and Nonuniform Transformation Field Analysis (NTFA) is proposed ...
Leturcq, Bertrand, Le Tallec, Patrick
doaj   +1 more source

A multiscale method for model order reduction in PDE parameter estimation

open access: yesJournal of Computational and Applied Mathematics, 2019
22 pages, 4 figures, 3 ...
Samy Wu Fung, Lars Ruthotto
openaire   +3 more sources

An overview of the proper generalized decomposition with applications in computational rheology [PDF]

open access: yes, 2011
We review the foundations and applications of the proper generalized decomposition (PGD), a powerful model reduction technique that computes a priori by means of successive enrichment a separated representation of the unknown field.
Leygue, A.   +11 more
core   +1 more source

Forecasting carbon dioxide emission price using a novel mode decomposition machine learning hybrid model of CEEMDAN‐LSTM

open access: yesEnergy Science & Engineering, 2023
Global carbon dioxide emissions have become a great threat to economic sustainability and human health. The carbon market is recognized as the most promising mean to curb carbon emissions, furthermore, carbon price forecasting will promote the role of ...
Po Yun   +3 more
doaj   +1 more source

Multiscale expansion and integrability properties of the lattice potential KdV equation

open access: yes, 2008
We apply the discrete multiscale expansion to the Lax pair and to the first few symmetries of the lattice potential Korteweg-de Vries equation. From these calculations we show that, like the lowest order secularity conditions give a nonlinear Schrödinger
Decio Levi   +10 more
core   +1 more source

Characterization of Aquifer Multiscale Properties by Generating Random Fractal Field with Truncated Power Variogram Model Using Karhunen–Loève Expansion

open access: yesGeofluids, 2017
The traditional geostatistics to describe the spatial variation of hydrogeological properties is based on the assumption of stationarity or statistical homogeneity.
Liang Xue   +3 more
doaj   +1 more source

A separated representation involving multiple time scales within the Proper Generalized Decomposition framework

open access: yesAdvanced Modeling and Simulation in Engineering Sciences, 2021
Solutions of partial differential equations can exhibit multiple time scales. Standard discretization techniques are constrained to capture the finest scale to accurately predict the response of the system.
Angelo Pasquale   +6 more
doaj   +1 more source

Impact of Respiratory Fluctuation on Hemodynamics in Human Cardiovascular System: A 0-1D Multiscale Model

open access: yesFluids, 2022
To explore hemodynamic interaction between the human respiratory system (RS) and cardiovascular system (CVS), here we propose an integrated computational model to predict the CVS hemodynamics with consideration of the respiratory fluctuation (RF).
Ruichen Li   +5 more
doaj   +1 more source

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