A straightforward and general computer program for assembling and solving (using Gauss elimination technique) widely sparsed finite element matrix equations with very large bandwidth and capable of handling different degrees-of-freedom and variable bandwidth at different nodes, is described. The program assembles any type of finite elements having arbitrary number of nodes and each node may have different degrees-of-freedom. It requires only a small core memory in the computer, although a fast random access device is also needed. The two very important features of this program are (i) it does not store any zero submatrices within the band and (ii) during the solution of equations all operations dealing with zero submatrices within the band ...
The majority of finite element models in structural engineering are composed of unstructured meshes....
This paper presents a comparative study on two different direct parallel solution strategies for the...
This paper demonstrates that scalability and competitive efficiency can be achieved for unstructured...
Large sparsely populated matrices of diagonal character are common in finite element calculations. C...
An interactive graphics software package which allows users to display the non-zero structure of lar...
A partial differential equation (PDE) is an equation relating functions of multiple variables, and t...
Abstract The finite element method (FEM) is one of the most commonly used tech-niques for the soluti...
In engineering and computing, the finite element approximation is one of the most well-known computa...
The finite element method (FEM) is one of the most commonly used techniques for the solution of part...
The purpose of this research is to investigate the potential application of new methods for solving ...
A FORTRAN 77 implementation of a Gauss algorithm with partial pivoting for banded matrices is descri...
Finite element methods (FEM), and its associated computer software have been widely accepted as one ...
[[abstract]]The finite element method is widely used to model physical systems in various engineerin...
The Finite Element Method (FEM) is a computationally intensive scientific and engineering analysis t...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
The majority of finite element models in structural engineering are composed of unstructured meshes....
This paper presents a comparative study on two different direct parallel solution strategies for the...
This paper demonstrates that scalability and competitive efficiency can be achieved for unstructured...
Large sparsely populated matrices of diagonal character are common in finite element calculations. C...
An interactive graphics software package which allows users to display the non-zero structure of lar...
A partial differential equation (PDE) is an equation relating functions of multiple variables, and t...
Abstract The finite element method (FEM) is one of the most commonly used tech-niques for the soluti...
In engineering and computing, the finite element approximation is one of the most well-known computa...
The finite element method (FEM) is one of the most commonly used techniques for the solution of part...
The purpose of this research is to investigate the potential application of new methods for solving ...
A FORTRAN 77 implementation of a Gauss algorithm with partial pivoting for banded matrices is descri...
Finite element methods (FEM), and its associated computer software have been widely accepted as one ...
[[abstract]]The finite element method is widely used to model physical systems in various engineerin...
The Finite Element Method (FEM) is a computationally intensive scientific and engineering analysis t...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
The majority of finite element models in structural engineering are composed of unstructured meshes....
This paper presents a comparative study on two different direct parallel solution strategies for the...
This paper demonstrates that scalability and competitive efficiency can be achieved for unstructured...