2014
DOI: 10.1016/j.jcp.2014.04.011
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A fictitious domain method using equilibrated basis functions for harmonic and bi-harmonic problems in physics

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Cited by 27 publications
(4 citation statements)
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“…In this second approach, the complex domain is embedded into a larger, regular domain and the boundary conditions are approximated by a variety of different techniques. Examples include the adaptive fast multipole accelerated Poisson solver (e.g., [4]), which combines boundary and volume integral methods in the larger domain, fictitious domain methods (e.g., [5,6,7,8]) where Lagrange multipliers are applied in order to enforce the boundary conditions, immersed boundary (e.g., [9,10,11,12]), front-tracking (e.g., [13,14,15]) and arbitrary Lagrangian-Eulerian methods (e.g., [16,17,18,19]) utilize separate surface and volume meshes where force distributions are interpolated from the surface to the volume meshes, in a neighborhood of the domain boundary, to approximate the boundary conditions. In addition, a number of specialized methods have been designed to achieve better than first order accuracy in the L ∞ norm.…”
Section: Introductionmentioning
confidence: 99%
“…In this second approach, the complex domain is embedded into a larger, regular domain and the boundary conditions are approximated by a variety of different techniques. Examples include the adaptive fast multipole accelerated Poisson solver (e.g., [4]), which combines boundary and volume integral methods in the larger domain, fictitious domain methods (e.g., [5,6,7,8]) where Lagrange multipliers are applied in order to enforce the boundary conditions, immersed boundary (e.g., [9,10,11,12]), front-tracking (e.g., [13,14,15]) and arbitrary Lagrangian-Eulerian methods (e.g., [16,17,18,19]) utilize separate surface and volume meshes where force distributions are interpolated from the surface to the volume meshes, in a neighborhood of the domain boundary, to approximate the boundary conditions. In addition, a number of specialized methods have been designed to achieve better than first order accuracy in the L ∞ norm.…”
Section: Introductionmentioning
confidence: 99%
“…This may be performed by finding the so‐called equilibrated‐based functions, as shown in the works of Boroomand and Noormohammadi. () This is the issue on which we currently focus on.…”
Section: Discussionmentioning
confidence: 99%
“…Also Gaussian exponential functions in the normalized space are used as weight functions, W is a weighting parameter controlling the sharpness of the weight function, which we consider equal to 30. A comprehensive study on this parameter may be found in Noormohammadi and Boroomand (2014). The weight points l , k are regularly distributed in n w1 rows and n w2 columns over normalized Ω 0 so that, with n w1 and n w2 as, In the case of variable coefficients for PDE, as a result of heterogeneous materials, the coefficients should be replaced by a set of incomplete monomials selected from the Pascal triangle.…”
Section: Homogeneous Solutionmentioning
confidence: 99%