Abstract. Maintaining good mesh quality during the generation and renement of unstructured meshes in nite-element applications is an important aspect in obtaining accurate discretizations and well-conditioned linear systems. In this article, we present a mesh-smoothing algorithm based on nonsmooth optimization techniques and a scalable implementation of this algorithm. We prove that the parallel algorithm has a provably fast runtime bound and executes correctly for a PRAM computational model. We extend the PRAM algorithm to distributed memory computers and report results for two- and three-dimensional simplicial meshes that demonstrate the eciency and scalability of this approach for a number of dierent test cases. We also examine the eect ...
Abstract To prepare images for better segmentation, we need preprocessing applications, such as smoo...
Mesh quality is a critical issue in numerical computing because it directly impacts both computation...
In this paper we describe parallel processing algorithms for optimal smoothing for discrete time lin...
. Maintaining good mesh quality during the generation and refinement of unstructured meshes in finit...
Automatic mesh generation and adaptive refinement methods have proven to be very successful tools fo...
One of the primary methods in the numerical solution of large-scale scientific and engineering appl...
Computational methods based on the use of adaptively constructed nonuniform meshes reduce the amount...
[EN]We propose a new algorithm on distributed-memory parallel computers for our simultaneous untangl...
There are numerous scientific applications which require large and complex meshes. Given the explos...
The efficient solution of many large-scale scientific calculations depends on unstructured mesh stra...
The majority of finite element models in structural engineering are composed of unstructured meshes....
Nous traitons dans cette thèse des différents aspects de la manipulation de maillages, et de la faço...
To enable the solution of large-scale applications on distributed memory architectures, we are desig...
AbstractMesh smoothing is an important algorithm for the improvement of element quality in unstructu...
International audienceSmoothing filter is the method of choice for image preprocessing and pattern r...
Abstract To prepare images for better segmentation, we need preprocessing applications, such as smoo...
Mesh quality is a critical issue in numerical computing because it directly impacts both computation...
In this paper we describe parallel processing algorithms for optimal smoothing for discrete time lin...
. Maintaining good mesh quality during the generation and refinement of unstructured meshes in finit...
Automatic mesh generation and adaptive refinement methods have proven to be very successful tools fo...
One of the primary methods in the numerical solution of large-scale scientific and engineering appl...
Computational methods based on the use of adaptively constructed nonuniform meshes reduce the amount...
[EN]We propose a new algorithm on distributed-memory parallel computers for our simultaneous untangl...
There are numerous scientific applications which require large and complex meshes. Given the explos...
The efficient solution of many large-scale scientific calculations depends on unstructured mesh stra...
The majority of finite element models in structural engineering are composed of unstructured meshes....
Nous traitons dans cette thèse des différents aspects de la manipulation de maillages, et de la faço...
To enable the solution of large-scale applications on distributed memory architectures, we are desig...
AbstractMesh smoothing is an important algorithm for the improvement of element quality in unstructu...
International audienceSmoothing filter is the method of choice for image preprocessing and pattern r...
Abstract To prepare images for better segmentation, we need preprocessing applications, such as smoo...
Mesh quality is a critical issue in numerical computing because it directly impacts both computation...
In this paper we describe parallel processing algorithms for optimal smoothing for discrete time lin...