Reprint of: Delaunay refinement algorithms for triangular mesh generation
Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triang...
Ausführliche Beschreibung
Autor*in: |
Shewchuk, Jonathan Richard [verfasserIn] |
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E-Artikel |
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Englisch |
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2014transfer abstract |
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Umfang: |
38 |
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Übergeordnetes Werk: |
Enthalten in: Enhancement in median nerve mobility during radioulnar wrist compression in carpal tunnel syndrome patients - Yao, Yifei ELSEVIER, 2018, theory and applications, Amsterdam |
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Übergeordnetes Werk: |
volume:47 ; year:2014 ; number:7 ; pages:741-778 ; extent:38 |
Links: |
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DOI / URN: |
10.1016/j.comgeo.2014.02.005 |
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ELV039416054 |
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520 | |a Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. | ||
520 | |a Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. | ||
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10.1016/j.comgeo.2014.02.005 doi GBVA2014015000009.pica (DE-627)ELV039416054 (ELSEVIER)S0925-7721(14)00038-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 796 VZ 31 ssgn 44.09 bkl Shewchuk, Jonathan Richard verfasserin aut Reprint of: Delaunay refinement algorithms for triangular mesh generation 2014transfer abstract 38 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. Triangular mesh generation Elsevier Computational geometry Elsevier Delaunay refinement Elsevier Delaunay triangulation Elsevier Constrained Delaunay triangulation Elsevier Enthalten in Elsevier Yao, Yifei ELSEVIER Enhancement in median nerve mobility during radioulnar wrist compression in carpal tunnel syndrome patients 2018 theory and applications Amsterdam (DE-627)ELV001116886 volume:47 year:2014 number:7 pages:741-778 extent:38 https://doi.org/10.1016/j.comgeo.2014.02.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.09 Medizintechnik VZ AR 47 2014 7 741-778 38 045F 004 |
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10.1016/j.comgeo.2014.02.005 doi GBVA2014015000009.pica (DE-627)ELV039416054 (ELSEVIER)S0925-7721(14)00038-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 796 VZ 31 ssgn 44.09 bkl Shewchuk, Jonathan Richard verfasserin aut Reprint of: Delaunay refinement algorithms for triangular mesh generation 2014transfer abstract 38 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. Triangular mesh generation Elsevier Computational geometry Elsevier Delaunay refinement Elsevier Delaunay triangulation Elsevier Constrained Delaunay triangulation Elsevier Enthalten in Elsevier Yao, Yifei ELSEVIER Enhancement in median nerve mobility during radioulnar wrist compression in carpal tunnel syndrome patients 2018 theory and applications Amsterdam (DE-627)ELV001116886 volume:47 year:2014 number:7 pages:741-778 extent:38 https://doi.org/10.1016/j.comgeo.2014.02.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.09 Medizintechnik VZ AR 47 2014 7 741-778 38 045F 004 |
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10.1016/j.comgeo.2014.02.005 doi GBVA2014015000009.pica (DE-627)ELV039416054 (ELSEVIER)S0925-7721(14)00038-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 796 VZ 31 ssgn 44.09 bkl Shewchuk, Jonathan Richard verfasserin aut Reprint of: Delaunay refinement algorithms for triangular mesh generation 2014transfer abstract 38 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. Triangular mesh generation Elsevier Computational geometry Elsevier Delaunay refinement Elsevier Delaunay triangulation Elsevier Constrained Delaunay triangulation Elsevier Enthalten in Elsevier Yao, Yifei ELSEVIER Enhancement in median nerve mobility during radioulnar wrist compression in carpal tunnel syndrome patients 2018 theory and applications Amsterdam (DE-627)ELV001116886 volume:47 year:2014 number:7 pages:741-778 extent:38 https://doi.org/10.1016/j.comgeo.2014.02.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.09 Medizintechnik VZ AR 47 2014 7 741-778 38 045F 004 |
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10.1016/j.comgeo.2014.02.005 doi GBVA2014015000009.pica (DE-627)ELV039416054 (ELSEVIER)S0925-7721(14)00038-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 796 VZ 31 ssgn 44.09 bkl Shewchuk, Jonathan Richard verfasserin aut Reprint of: Delaunay refinement algorithms for triangular mesh generation 2014transfer abstract 38 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. Triangular mesh generation Elsevier Computational geometry Elsevier Delaunay refinement Elsevier Delaunay triangulation Elsevier Constrained Delaunay triangulation Elsevier Enthalten in Elsevier Yao, Yifei ELSEVIER Enhancement in median nerve mobility during radioulnar wrist compression in carpal tunnel syndrome patients 2018 theory and applications Amsterdam (DE-627)ELV001116886 volume:47 year:2014 number:7 pages:741-778 extent:38 https://doi.org/10.1016/j.comgeo.2014.02.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.09 Medizintechnik VZ AR 47 2014 7 741-778 38 045F 004 |
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Reprint of: Delaunay refinement algorithms for triangular mesh generation |
abstract |
Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. |
abstractGer |
Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. |
abstract_unstemmed |
Delaunay refinement is a technique for generating unstructured meshes of triangles for use in interpolation, the finite element method, and the finite volume method. In theory and practice, meshes produced by Delaunay refinement satisfy guaranteed bounds on angles, edge lengths, the number of triangles, and the grading of triangles from small to large sizes. This article presents an intuitive framework for analyzing Delaunay refinement algorithms that unifies the pioneering mesh generation algorithms of L. Paul Chew and Jim Ruppert, improves the algorithms in several minor ways, and most importantly, helps to solve the difficult problem of meshing nonmanifold domains with small angles. |
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container_issue |
7 |
title_short |
Reprint of: Delaunay refinement algorithms for triangular mesh generation |
url |
https://doi.org/10.1016/j.comgeo.2014.02.005 |
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doi_str |
10.1016/j.comgeo.2014.02.005 |
up_date |
2024-07-06T20:33:39.874Z |
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