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You searched for subject:(Anisotropic adaptivity). Showing records 1 – 4 of 4 total matches.

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Université Catholique de Louvain

1. Quan, Dieu Linh. A mesh-based technique for solving CFD problems with embedded geometries : anisotropic adaptive "nearly" body-fitted mesh approach.

Degree: 2014, Université Catholique de Louvain

Embedded geometry is a family of techniques dedicated to engineering problems involving remeshing on the fly during the simulation, or mesh generation in complex geometries.… (more)

Subjects/Keywords: Level-set; Anisotropic adaptivity; Mesh-based technique; Embedded geometries; Immersed interfaces

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Quan, D. L. (2014). A mesh-based technique for solving CFD problems with embedded geometries : anisotropic adaptive "nearly" body-fitted mesh approach. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/154134

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Quan, Dieu Linh. “A mesh-based technique for solving CFD problems with embedded geometries : anisotropic adaptive "nearly" body-fitted mesh approach.” 2014. Thesis, Université Catholique de Louvain. Accessed October 18, 2019. http://hdl.handle.net/2078.1/154134.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Quan, Dieu Linh. “A mesh-based technique for solving CFD problems with embedded geometries : anisotropic adaptive "nearly" body-fitted mesh approach.” 2014. Web. 18 Oct 2019.

Vancouver:

Quan DL. A mesh-based technique for solving CFD problems with embedded geometries : anisotropic adaptive "nearly" body-fitted mesh approach. [Internet] [Thesis]. Université Catholique de Louvain; 2014. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2078.1/154134.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Quan DL. A mesh-based technique for solving CFD problems with embedded geometries : anisotropic adaptive "nearly" body-fitted mesh approach. [Thesis]. Université Catholique de Louvain; 2014. Available from: http://hdl.handle.net/2078.1/154134

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

2. Compère, Gaëtan. Mesh adaptation with large deformations : theory, algorithms and implementation.

Degree: 2009, Université Catholique de Louvain

Today, one of the major limitations of the finite element method remains its high computational cost. For that reason, mesh adaptivity has an important role… (more)

Subjects/Keywords: Mesh; Adaptation; CAD model; Mesh smoothing; Mesh optimization; Error control; Anisotropic; Multiphase; Fluid mechanics; Navier-stokes; Deformation; Finite element; MAdLib; Adaptivity; Mesh adaptivity; Fluid-structure interaction; FSI; Boundary layer

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Compère, G. (2009). Mesh adaptation with large deformations : theory, algorithms and implementation. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/28990

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Compère, Gaëtan. “Mesh adaptation with large deformations : theory, algorithms and implementation.” 2009. Thesis, Université Catholique de Louvain. Accessed October 18, 2019. http://hdl.handle.net/2078.1/28990.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Compère, Gaëtan. “Mesh adaptation with large deformations : theory, algorithms and implementation.” 2009. Web. 18 Oct 2019.

Vancouver:

Compère G. Mesh adaptation with large deformations : theory, algorithms and implementation. [Internet] [Thesis]. Université Catholique de Louvain; 2009. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2078.1/28990.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Compère G. Mesh adaptation with large deformations : theory, algorithms and implementation. [Thesis]. Université Catholique de Louvain; 2009. Available from: http://hdl.handle.net/2078.1/28990

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Colorado

3. Chitale, Kedar C. Anisotropic Mesh Adaptivity for Turbulent Flows with Boundary Layers.

Degree: PhD, Aerospace Engineering Sciences, 2013, University of Colorado

  Turbulent flows are found everywhere in nature and are studied, analyzed and simulated using various experimental and numerical tools. For computational analysis, a variety… (more)

Subjects/Keywords: Adaptive mesh generation; Anisotropic adaptivity; Boundary layers; Computational fluid dynamics; Multi element wings; Turbulent flows; Aerospace Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chitale, K. C. (2013). Anisotropic Mesh Adaptivity for Turbulent Flows with Boundary Layers. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/asen_gradetds/68

Chicago Manual of Style (16th Edition):

Chitale, Kedar C. “Anisotropic Mesh Adaptivity for Turbulent Flows with Boundary Layers.” 2013. Doctoral Dissertation, University of Colorado. Accessed October 18, 2019. http://scholar.colorado.edu/asen_gradetds/68.

MLA Handbook (7th Edition):

Chitale, Kedar C. “Anisotropic Mesh Adaptivity for Turbulent Flows with Boundary Layers.” 2013. Web. 18 Oct 2019.

Vancouver:

Chitale KC. Anisotropic Mesh Adaptivity for Turbulent Flows with Boundary Layers. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2019 Oct 18]. Available from: http://scholar.colorado.edu/asen_gradetds/68.

Council of Science Editors:

Chitale KC. Anisotropic Mesh Adaptivity for Turbulent Flows with Boundary Layers. [Doctoral Dissertation]. University of Colorado; 2013. Available from: http://scholar.colorado.edu/asen_gradetds/68


Ohio University

4. Liu, Qing. On Anisotropic Functional Fourier Deconvolution Problem with Unknown Kernel.

Degree: PhD, Mathematics (Arts and Sciences), 2019, Ohio University

 We consider the estimation of a periodic bivariate function ƒ(⋅,⋅) based on observations from a noisy convolution model, when the kernel (blurring) function 혨(⋅,⋅) is… (more)

Subjects/Keywords: Mathematics; Statistics; Anisotropic functional data; blind deconvolution; Besov space; minimax convergence rates; hard-thresholding; adaptivity; wavelets

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, Q. (2019). On Anisotropic Functional Fourier Deconvolution Problem with Unknown Kernel. (Doctoral Dissertation). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1553711028518802

Chicago Manual of Style (16th Edition):

Liu, Qing. “On Anisotropic Functional Fourier Deconvolution Problem with Unknown Kernel.” 2019. Doctoral Dissertation, Ohio University. Accessed October 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1553711028518802.

MLA Handbook (7th Edition):

Liu, Qing. “On Anisotropic Functional Fourier Deconvolution Problem with Unknown Kernel.” 2019. Web. 18 Oct 2019.

Vancouver:

Liu Q. On Anisotropic Functional Fourier Deconvolution Problem with Unknown Kernel. [Internet] [Doctoral dissertation]. Ohio University; 2019. [cited 2019 Oct 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1553711028518802.

Council of Science Editors:

Liu Q. On Anisotropic Functional Fourier Deconvolution Problem with Unknown Kernel. [Doctoral Dissertation]. Ohio University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1553711028518802

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