The finite element computing methods and the error estimations based on twoscale asymptotic analysis method (see [1]) are presented. Finally, numerical results are given for a typical model. A variety of numerical exp...
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The finite element computing methods and the error estimations based on twoscale asymptotic analysis method (see [1]) are presented. Finally, numerical results are given for a typical model. A variety of numerical experiments show the capabilities and reliablity of the proposed method.
SLMQN is a subspace limited memory quasi-Newton algorithm for solving largescale bound constrained nonlinear programming problems. The algorithm is suitable to these large problems in which the Hessian matrix is diffi...
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SLMQN is a subspace limited memory quasi-Newton algorithm for solving largescale bound constrained nonlinear programming problems. The algorithm is suitable to these large problems in which the Hessian matrix is difficult to compute or is dense,or the number of variables is too large to store and compute an n x n matris. Due to less storage requirement, this algorithm can be used in PCs for solving medium-sized and large problems. The algorithm is implemented in Fortran 77.
in this paper, for the mixed finite element methods of Stokes problem, such as the mini element and the scecon cider scheme, we present the numerical quadratures, which are independent of the bubble term. The effect a...
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in this paper, for the mixed finite element methods of Stokes problem, such as the mini element and the scecon cider scheme, we present the numerical quadratures, which are independent of the bubble term. The effect and a posteriori error estimate under the numerical quadrature are considered.
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