Nonlinear elliptic partial differential equations are important to many large scale engineering and science problems. For this kind of equations, this article discusses a splitting extrapolation which possesses a high order of accuracy, a high degree of parallelism, less computational complexity and more flexibility than Richardson extrapolation. According to the problems, some domain decompositions are constructed and some independent mesh parameters are designed. Multi-parameter asymptotic expansions are proved for the errors of approximations. Based on the expansions, splitting extrapolation formulas are developed to compute approximations with high order of accuracy on a globally fine grid. Because these formulas only require us to solv...
It has been rightly predicted that parallel computing is inevitable. This thesis at-tempts to study ...
A finite difference procedure is presented for solving coupled sets of partial differential equation...
. Multilevel methods are generally based on a splitting of the solution space associated with a nest...
Nonlinear elliptic partial differential equations are important to many large scale engineering and ...
This article discusses a splitting extrapolation method for solving second-order parabolic equations...
Splitting extrapolation is an efficient technique for solving large scale scientific and engineering...
AbstractThis paper is to present a new efficient algorithm by using the finite volume element method...
This paper is to present a new efficient algorithm by using the finite volume element method and its...
Extrapolation methods for the solution of partial differential equations are commonly based on the e...
In this paper, we study the mathematical structure and numerical approximation of elliptic problems ...
. The p-version of the finite element methods requires the exact calculation of the stiffness matrix...
Numerically solving elliptic partial differential equations for a large number of degrees of freedom...
This paper presents a nonstandard local approach to Richardson extrapolation, when it is used to inc...
The accuracy of numerical solutions near singular points is crucial for numerical methods. In this p...
. Domain decomposition methods are highly parallel methods for solving elliptic partial differential...
It has been rightly predicted that parallel computing is inevitable. This thesis at-tempts to study ...
A finite difference procedure is presented for solving coupled sets of partial differential equation...
. Multilevel methods are generally based on a splitting of the solution space associated with a nest...
Nonlinear elliptic partial differential equations are important to many large scale engineering and ...
This article discusses a splitting extrapolation method for solving second-order parabolic equations...
Splitting extrapolation is an efficient technique for solving large scale scientific and engineering...
AbstractThis paper is to present a new efficient algorithm by using the finite volume element method...
This paper is to present a new efficient algorithm by using the finite volume element method and its...
Extrapolation methods for the solution of partial differential equations are commonly based on the e...
In this paper, we study the mathematical structure and numerical approximation of elliptic problems ...
. The p-version of the finite element methods requires the exact calculation of the stiffness matrix...
Numerically solving elliptic partial differential equations for a large number of degrees of freedom...
This paper presents a nonstandard local approach to Richardson extrapolation, when it is used to inc...
The accuracy of numerical solutions near singular points is crucial for numerical methods. In this p...
. Domain decomposition methods are highly parallel methods for solving elliptic partial differential...
It has been rightly predicted that parallel computing is inevitable. This thesis at-tempts to study ...
A finite difference procedure is presented for solving coupled sets of partial differential equation...
. Multilevel methods are generally based on a splitting of the solution space associated with a nest...