Results 21 to 30 of about 27,402 (200)

Parametric Problems in Power System Analysis: Recent Applications of Polynomial Approximation Based on Galerkin Method

open access: yesJournal of Modern Power Systems and Clean Energy, 2021
In power systems, there are many uncertainty factors such as power outputs of distributed generations and fluctuations of loads. It is very beneficial to power system analysis to acquire an explicit function describing the relationship between these ...
Hao Wu   +5 more
doaj   +1 more source

Reduced Order Modelling of Shigesada-Kawasaki-Teramoto Cross-Diffusion Systems

open access: yesJournal of Mathematical Sciences and Modelling, 2023
Shigesada-Kawasaki-Teramoto (SKT) is the most known equation in population ecology for nonlinear cross-diffusion systems. The full order model (FOM) of the SKT system is constructed using symmetric interior penalty discontinuous Galerkin method (SIPG ...
Gülden Mülayim
doaj   +1 more source

Galerkin Projection Methods for Solving Multiple Linear Systems [PDF]

open access: yesSIAM Journal on Scientific Computing, 1999
The paper is devoted to solve multiple linear systems \(A^{(i)}x^{(i)}=b^{(i)}\), \(1 \leq i \leq s\), with different coefficient matrices and different right-hand sides. Two important practical situations are considered, namely, the eigenvectors of the coefficient matrices are the same and the coefficient matrices differ by rank-1 or rank-2 matrices ...
Chan, Tony F., Ng, Michael
openaire   +3 more sources

Equivalence Between DFR Method and DG Method for Solving Parabolic Equation and Convection-diffusion Equation

open access: yesJournal of Harbin University of Science and Technology, 2022
The equivalence between direct flux reconstruction method and discontinuous Galerkin method for solving parabolic equation and convection-diffusion equation is studied.
BI Hui, LIU Lei
doaj   +1 more source

The convergence of Galerkin–Petrov methods for Dirichlet projections

open access: yesAnnals of Functional Analysis, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li He, Yifang Li, Yiyuan Zhang
openaire   +1 more source

Non-polynomial Galerkin projection on deforming meshes [PDF]

open access: yesACM Transactions on Graphics, 2013
This paper extends Galerkin projection to a large class of non-polynomial functions typically encountered in graphics. We demonstrate the broad applicability of our approach by applying it to two strikingly different problems: fluid simulation and radiosity rendering, both using deforming meshes.
Matt Stanton   +6 more
openaire   +1 more source

Energetic Galerkin Projection of Electromagnetic Fields Between Different Meshes [PDF]

open access: yesIEEE Transactions on Magnetics, 2014
published at Compumag ...
Wang, Zifu   +4 more
openaire   +2 more sources

Interpolation, Projection and Hierarchical Bases in Discontinuous Galerkin Methods [PDF]

open access: yesNumerical Mathematics: Theory, Methods and Applications, 2015
AbstractThe paper presents results on piecewise polynomial approximations of tensor product type in Sobolev-Slobodecki spaces by various interpolation and projection techniques, on error estimates for quadrature rules and projection operators based on hierarchical bases, and on inverse inequalities.
Angermann, Lutz, Henke, Christian
openaire   +2 more sources

Stability Preservation in Stochastic Galerkin Projections of Dynamical Systems [PDF]

open access: yesSIAM/ASA Journal on Uncertainty Quantification, 2019
In uncertainty quantification, critical parameters of mathematical models are substituted by random variables. We consider dynamical systems composed of ordinary differential equations. The unknown solution is expanded into an orthogonal basis of the random space, e.g., the polynomial chaos expansions.
Pulch, Roland, Augustin, Florian
openaire   +2 more sources

A Hybrid Approach for Model Order Reduction of Barotropic Quasi-Geostrophic Turbulence

open access: yesFluids, 2018
We put forth a robust reduced-order modeling approach for near real-time prediction of mesoscale flows. In our hybrid-modeling framework, we combine physics-based projection methods with neural network closures to account for truncated modes.
Sk. Mashfiqur Rahman   +2 more
doaj   +1 more source

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