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首页> 外文期刊>SIAM Journal on Numerical Analysis >MULTIGRID METHODS FOR NEARLY SINGULAR LINEAR EQUATIONS AND EIGENVALUE PROBLEMS
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MULTIGRID METHODS FOR NEARLY SINGULAR LINEAR EQUATIONS AND EIGENVALUE PROBLEMS

机译:近似奇异线性方程的多重网格法和特征值问题

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The purpose of this paper is to develop a convergence theory for multigrid methods applied to nearly singular linear elliptic partial differential equations of the type produced from a positive definite system by a shift with the identity. One of the important aspects of this this theory is that it allows such shifts to vary anywhere in the multigrid scheme, enabling its application to a wider class of eigenproblem solvers. The theory is first applied to a method for computing eigenvalues and eigenvectors that consists of multigrid iterations with zero right-hand side and updating the shift from the Rayleigh quotient before every cycle. It is then applied to the Rayleigh quotient multigrid (RQMG) method. which is a more direct multigrid procedure for solving eigenproblems. Local convergence of the multigrid V-cycle and global convergence for a full multigrid version of both methods is obtained. [References: 9]
机译:本文的目的是为多网格方法开发一种收敛理论,该方法适用于由正定系统通过移位而产生的近似奇异线性椭圆偏微分方程。该理论的重要方面之一是,它允许这种转换在多重网格方案中的任何地方变化,从而使其能够应用于更广泛的本征问题求解器。该理论首先应用于计算特征值和特征向量的方法,该方法由右侧为零的多网格迭代组成,并在每个循环之前更新与瑞利商的偏移。然后将其应用于瑞利商多重网格(RQMG)方法。这是解决特征问题的更直接的多网格程序。获得了两种方法的完整多网格版本的多网格V周期的局部收敛和全局收敛。 [参考:9]

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