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  • Mathematics Subject Classification (1991): 65F10, 65G99, 65L10, 65L12, 65N22  (1)
  • Mathematics Subject Classification (1991):65N22  (1)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 76 (1997), S. 209-230 
    ISSN: 0945-3245
    Keywords: Mathematics Subject Classification (1991): 65F10, 65G99, 65L10, 65L12, 65N22
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary. The one-dimensional discrete Poisson equation on a uniform grid with $n$ points produces a linear system of equations with a symmetric, positive-definite coefficient matrix. Hence, the conjugate gradient method can be used, and standard analysis gives an upper bound of $O(n$ ) on the number of iterations required for convergence. This paper introduces a systematically defined set of solutions dependent on a parameter $\beta$ , and for several values of $\beta$ , presents exact analytic expressions for the number of steps $k(\beta,\tau,n$ ) needed to achieve accuracy $\tau$ . The asymptotic behavior of these expressions has the form $O(n^{\alpha$ )} as $n \rightarrow \infty$ and $O(\tau^{\gamma$ )} as $\tau \rightarrow 0$ . In particular, two choices of $\beta$ corresponding to nonsmooth solutions give $\alpha = 0$ , i.e., iteration counts independent of $n$ ; this is in contrast to the standard bounds. The standard asymptotic convergence behavior, $\alpha = 1$ , is seen for a relatively smooth solution. Numerical examples illustrate and supplement the analysis.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 83 (1999), S. 231-257 
    ISSN: 0945-3245
    Keywords: Mathematics Subject Classification (1991):65N22
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary. In this work we calculate the eigenvalues obtained by preconditioning the discrete Helmholtz operator with Sommerfeld-like boundary conditions on a rectilinear domain, by a related operator with boundary conditions that permit the use of fast solvers. The main innovation is that the eigenvalues for two and three-dimensional domains can be calculated exactly by solving a set of one-dimensional eigenvalue problems. This permits analysis of quite large problems. For grids fine enough to resolve the solution for a given wave number, preconditioning using Neumann boundary conditions yields eigenvalues that are uniformly bounded, located in the first quadrant, and outside the unit circle. In contrast, Dirichlet boundary conditions yield eigenvalues that approach zero as the product of wave number with the mesh size is decreased. These eigenvalue properties yield the first insight into the behavior of iterative methods such as GMRES applied to these preconditioned problems.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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