In a very recent paper (Hu et al., The lower bounds for eigenvalues of elliptic operators by nonconforming finite element methods, Preprint, 2010), we prove that the eigenvalues by the nonconforming finite element methods are smaller than the exact ones for the elliptic operators. It is well-known that the conforming finite element methods produce the eigenvalues above to the exact ones. In this paper, we combine these two aspects and derive a new post-processing algorithm to approximate the eigenvalues of elliptic operators. We implement this algorithm and find that it actually yields very high accuracy approximation on very coarser mesh. The numerical results demonstrate that the high accuracy herein is of two fold: the much higher accura...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of par...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of par...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
This paper introduces a method of constructing nonconforming finite elements which can produce lower...
This paper is a complement of the work (Hu et al. in arXiv:1112.1145v1[math.NA], 2011), where a gene...
The paper is to introduce a new systematic method that can produce lower bounds for eigenvalues. The...
summary:This article presents an idea in the finite element methods (FEMs) for obtaining two-sided b...
summary:This article presents an idea in the finite element methods (FEMs) for obtaining two-sided b...
summary:This article presents an idea in the finite element methods (FEMs) for obtaining two-sided b...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
To solve an elliptic PDE eigenvalue problem in practice, typically the finite element discretisation...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of par...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of par...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
This paper introduces a method of constructing nonconforming finite elements which can produce lower...
This paper is a complement of the work (Hu et al. in arXiv:1112.1145v1[math.NA], 2011), where a gene...
The paper is to introduce a new systematic method that can produce lower bounds for eigenvalues. The...
summary:This article presents an idea in the finite element methods (FEMs) for obtaining two-sided b...
summary:This article presents an idea in the finite element methods (FEMs) for obtaining two-sided b...
summary:This article presents an idea in the finite element methods (FEMs) for obtaining two-sided b...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
To solve an elliptic PDE eigenvalue problem in practice, typically the finite element discretisation...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of par...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of par...
We develop a new reduced basis (RB) method for the rapid and reliable approximation of parametrized ...