Results 1 to 10 of about 52,493 (230)
Nonlinear Correlation of POD and DMD Modal Coefficients in Reduced-Order Modeling of Flow Around a Cylinder in a Microchannel. [PDF]
Zuo B, Yang X, Wang H, Xiao Q.
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One-dimensional computational circulatory models: a scoping review. [PDF]
Nóbrega GACL +3 more
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Volume conductor models for magnetospinography. [PDF]
O'Neill GC +5 more
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Correction: Abderrahmane et al. 2D MHD Mixed Convection in a Zigzag Trapezoidal Thermal Energy Storage System Using NEPCM. <i>Nanomaterials</i> 2022, <i>12</i>, 3270. [PDF]
Abderrahmane A +6 more
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Some of the next articles are maybe not open access.
Discontinuous Galerkin Galerkin Differences for the Wave Equation in Second-Order Form
SIAM Journal on Scientific Computing, 2021Discontinuous Galerkin difference (GD) methods for the wave equation with variable wave speeds in 1D and 2D are introduced and analyzed. Contrary to prior GD methods, the proposed schemes are based on the use of interpolants on a dual grid leading to discontinuous basis functions.
Jeffrey W. Banks +3 more
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Galerkin and discontinuous Galerkin spectral/hp methods
Computer Methods in Applied Mechanics and Engineering, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Warburton, T. C. +4 more
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Journal of Optimization Theory and Applications, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Randy Boucher, Wei Kang 0001, Qi Gong
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Randy Boucher, Wei Kang 0001, Qi Gong
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Galerkin and collocation‐Galerkin methods with superconvergence and optimal fluxes
International Journal for Numerical Methods in Engineering, 1981AbstractFinite element methods are formulated and investigated for the effectiveness factor problem for heat and mass transfer with chemical reactions in catalyst pellet models. A Galerkin finite element method is compared with a previous C1 collocation method7.
Carey, G. F. +2 more
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SIAM Journal on Matrix Analysis and Applications, 2010
We investigate the structural, spectral, and sparsity properties of Stochastic Galerkin matrices as they arise in the discretization of linear differential equations with random coefficient functions. These matrices are characterized as the Galerkin representation of polynomial multiplication operators.
Oliver G. Ernst, Elisabeth Ullmann
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We investigate the structural, spectral, and sparsity properties of Stochastic Galerkin matrices as they arise in the discretization of linear differential equations with random coefficient functions. These matrices are characterized as the Galerkin representation of polynomial multiplication operators.
Oliver G. Ernst, Elisabeth Ullmann
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