Add to ORKGWe compare inexact Newton and coordinate descent optimization methods for improving the quality of a mesh by repositioning the vertices, where the overall quality is measured by the harmonic mean of the mean-ratio metric. The e#ects of problem size, element size heterogeneity, and various vertex displacement schemes on the performance of these algorithms are assessed for a series of tetrahedral meshes
This research work deals with the analysis and test of a normalized‐Jacobian metric used as a measur...
This research work deals with the analysis and test of a normalized-Jacobian metric used as a measur...
AbstractHigh-quality meshes are essential in the solution of partial differential equations (PDEs), ...
We compare inexact Newton and coordinate descent optimization methods for improving the quality of a...
We compare inexact Newton and coordinate descent methods for optimizing the quality of a mesh by rep...
The objective function based on mesh quality metric has a major impact on smoothing unstructured tet...
The objective function based on mesh quality metric has a major impact on smoothing unstructured tet...
AbstractIn the numerical solution of partial differential equations (PDEs), high-quality meshes are ...
Simplicial mesh shape-quality can be improved by optimizing an objective function based on tetrahedr...
We define quality differential coordinates (QDC) for per-vertex encoding of the quality of a tetrahe...
The authors present a new shape measure for tetrahedral elements that is optimal in that it gives th...
Smoothing or geometrical optimization is one of basic procedures to improve the quality of mesh. Thi...
Abstract. To reduce the complexity of polygonal models used in computer graphics, simplification tec...
It is well known that mesh quality aects both e-ciency and accuracy of CFD solutions. Meshes with di...
Mesh optimization is essential to enable sufficient element quality for numerical methods such as th...
This research work deals with the analysis and test of a normalized‐Jacobian metric used as a measur...
This research work deals with the analysis and test of a normalized-Jacobian metric used as a measur...
AbstractHigh-quality meshes are essential in the solution of partial differential equations (PDEs), ...
We compare inexact Newton and coordinate descent optimization methods for improving the quality of a...
We compare inexact Newton and coordinate descent methods for optimizing the quality of a mesh by rep...
The objective function based on mesh quality metric has a major impact on smoothing unstructured tet...
The objective function based on mesh quality metric has a major impact on smoothing unstructured tet...
AbstractIn the numerical solution of partial differential equations (PDEs), high-quality meshes are ...
Simplicial mesh shape-quality can be improved by optimizing an objective function based on tetrahedr...
We define quality differential coordinates (QDC) for per-vertex encoding of the quality of a tetrahe...
The authors present a new shape measure for tetrahedral elements that is optimal in that it gives th...
Smoothing or geometrical optimization is one of basic procedures to improve the quality of mesh. Thi...
Abstract. To reduce the complexity of polygonal models used in computer graphics, simplification tec...
It is well known that mesh quality aects both e-ciency and accuracy of CFD solutions. Meshes with di...
Mesh optimization is essential to enable sufficient element quality for numerical methods such as th...
This research work deals with the analysis and test of a normalized‐Jacobian metric used as a measur...
This research work deals with the analysis and test of a normalized-Jacobian metric used as a measur...
AbstractHigh-quality meshes are essential in the solution of partial differential equations (PDEs), ...