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991.
992.
大型稀疏线性方程组新的ICCG方法 总被引:2,自引:0,他引:2
有限元线性方程组的系数矩阵一般具有稀疏性和对称性的特点,全稀疏存贮方法就是利用这些特点,只存贮对称部分的非零元素,采用链表式管理,即节省存贮空间,又便于动态更改.在完全Cholesky分解的基础上,构造出了新的预处理方法,应用适当的对角元修正策略,得到了一种新的ICCG方法,能够确保方程组高效准确的分解和求解.数值算例证明该算法在时间和存贮上都较为占优,可靠高效,能够应用于有限元线性方程组的求解. 相似文献
993.
广义预测控制中 Diophantine矩阵多项式方程的显式解 总被引:1,自引:0,他引:1
直接利用被控对象的离散差分方程推导出多变量广义预测控制中Diophantine矩阵多项式方程的显式解,从而避免了其递推求解或迭代求解,使广义预测控制的应用更加方便. 相似文献
994.
995.
Ming‐Jiu Ni Mohamed A. Abdou 《International journal for numerical methods in engineering》2007,72(12):1490-1512
A bridge is built between projection methods and SIMPLE type methods (Semi‐Implicit Method for Pressure‐Linked Equation). A general second‐order accurate projection method is developed for the simulation of incompressible unsteady flows by employing a non‐linear update of pressure term as Θn?pn+1+(I?Θn)?pn, where Θn is a coefficient matrix, which may depend on the grid size, time step and even velocity. It includes three‐ and four‐step projection methods. The standard SIMPLE method is written in a concise formula for steady and unsteady flows. It is proven that SIMPLE type methods have second‐order temporal accuracy for unsteady flows. The classical second‐order projection method and SIMPLE type methods are united within the framework of the general second‐order projection formula. Two iteration algorithms of SIMPLE type methods for unsteady flows are described and discussed. In addition, detailed formulae are provided for general projection methods by using the Runge–Kutta technique to update the convective term and Crank–Nicholson scheme for the diffusion term. Copyright © 2007 John Wiley & Sons, Ltd. 相似文献
996.
997.
998.
In this paper, we develop both semi-discrete and fully-discrete mixed finite element methods for modeling wave propagation
in three-dimensional double negative metamaterials. Here the model is formed as a time-dependent linear system involving four
dependent vector variables: the electric and magnetic fields, and the induced electric and magnetic currents. Optimal error
estimates for all four variables are proved for Nédélec tetrahedral elements. To our best knowledge, this is the first error
analysis obtained for Maxwell’s equations when metamaterials are involved.
相似文献
999.
Eugeniusz Zieniuk 《Engineering with Computers》2007,23(1):39-48
To create curves in computer graphics, we use, among others, B-splines since they make it possible to effectively produce
curves in a continuous way using a small number of de Boor’s control points. The properties of these curves have also been
used to define and create boundary geometry in boundary problems solving using parametric integral equations system (PIES).
PIES was applied for resolution 2D boundary-value problems described by Laplace’s equation. In this PIES, boundary geometry
is theoretically defined in its mathematical formalism, hence the numerical solution of the PIES requires no boundary discretization
(such as in BEM) and is simply reduced to the approximation of boundary functions. To solve this PIES a pseudospectral method
has been proposed and the results obtained were compared with both exact and numerical solutions. 相似文献
1000.
Determination of an unknown time-dependent function in parabolic partial differential equations, plays a very important role in many branches of science and engineering. In the current investigation, the Adomian decomposition method is used for finding a control parameter p(t) in the quasilinear parabolic equation ut=uxx+p(t)u+, in [0,1]×(0,T] with known initial and boundary conditions and subject to an additional condition in the form of which is called the boundary integral overspecification. The main approach is to change this inverse problem to a direct problem and then solve the resulting equation using the well known Adomian decomposition method. The decomposition procedure of Adomian provides the solution in a rapidly convergent series where the series may lead to the solution in a closed form. Furthermore due to the rapid convergence of Adomian’s method, a truncation of the series solution with sufficiently large number of implemented components can be considered as an accurate approximation of the exact solution. This method provides a reliable algorithm that requires less work if compared with the traditional techniques. Some illustrative examples are presented to show the efficiency of the presented method. 相似文献