In this work we propose a method for obtaining fine-scale eigensolution based on the coarse-scale eigensolution in elliptic eigenvalue problems with oscillating coefficient. This is achieved by introducing a 2-scale asymptotic expansion predictor in conjunction with an iterative corrector. The eigensolution predictor equation is formulated using the weak form of an auxiliary problem. It is shown that large errors exist in the higher eigenmodes when the 2-scale asymptotic expansion is used. The predictor solution is then corrected by the combined inverse iteration and Rayleigh quotient iteration. The numerical examples demonstrate the effectiveness of this approach
International audienceThis note presents the derivation of the second-order asymptotic expansion of ...
International audienceThis note presents the derivation of the second-order asymptotic expansion of ...
In a very recent paper (Hu et al., The lower bounds for eigenvalues of elliptic operators by nonconf...
In this work we propose a method for obtaining fine-scale eigensolution based on the coarse-scale ei...
AbstractIn this paper, on basis of [O.A. Oleinik, A.S. Shamaev, G.A. Yosifian, Mathematical Problems...
We present numerical upscaling techniques for a class of linear second-order self-adjoint elliptic p...
We present numerical upscaling techniques for a class of linear second-order self-adjoint elliptic p...
We present an algorithm which, based on certain properties of analytic dependence, constructs bounda...
AbstractIn many practical problems coefficients of PDEs are changing across many spatial or temporal...
We present an algorithm which, based on certain properties of analytic dependence, constructs bounda...
Abstract. This paper is concerned with the homogenization of the Dirichlet eigenvalue problem, posed...
AbstractA basic problem is that of solving nonlinear elliptic eigenvalue problems in the plane. Prob...
The focus is on a model reduction framework for parameterized elliptic eigenvalue problems by a redu...
The focus is on a model reduction framework for parameterized elliptic eigenvalue problems by a redu...
The focus is on a model reduction framework for parameterized elliptic eigenvalue problems by a redu...
International audienceThis note presents the derivation of the second-order asymptotic expansion of ...
International audienceThis note presents the derivation of the second-order asymptotic expansion of ...
In a very recent paper (Hu et al., The lower bounds for eigenvalues of elliptic operators by nonconf...
In this work we propose a method for obtaining fine-scale eigensolution based on the coarse-scale ei...
AbstractIn this paper, on basis of [O.A. Oleinik, A.S. Shamaev, G.A. Yosifian, Mathematical Problems...
We present numerical upscaling techniques for a class of linear second-order self-adjoint elliptic p...
We present numerical upscaling techniques for a class of linear second-order self-adjoint elliptic p...
We present an algorithm which, based on certain properties of analytic dependence, constructs bounda...
AbstractIn many practical problems coefficients of PDEs are changing across many spatial or temporal...
We present an algorithm which, based on certain properties of analytic dependence, constructs bounda...
Abstract. This paper is concerned with the homogenization of the Dirichlet eigenvalue problem, posed...
AbstractA basic problem is that of solving nonlinear elliptic eigenvalue problems in the plane. Prob...
The focus is on a model reduction framework for parameterized elliptic eigenvalue problems by a redu...
The focus is on a model reduction framework for parameterized elliptic eigenvalue problems by a redu...
The focus is on a model reduction framework for parameterized elliptic eigenvalue problems by a redu...
International audienceThis note presents the derivation of the second-order asymptotic expansion of ...
International audienceThis note presents the derivation of the second-order asymptotic expansion of ...
In a very recent paper (Hu et al., The lower bounds for eigenvalues of elliptic operators by nonconf...