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  • Mathematics Subject Classification (1991): 65F10, 65G99, 65L10, 65L12, 65N22  (1)
  • Primary: 65F10, 65N20  (1)
  • 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
    BIT 29 (1989), S. 890-915 
    ISSN: 1572-9125
    Keywords: Primary: 65F10, 65N20 ; Secondary: 15A06 ; Linear systems ; iterative methods ; preconditioners ; incomplete factorizations ; non-self-adjoint ; convection-diffusion
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Two classes of incomplete factorization preconditioners are considered for nonsymmetric linear systems arising from second order finite difference discretizations of non-self-adjoint elliptic partial differential equations. Analytic and experimental results show that relaxed incomplete factorization methods exhibit numerical instabilities of the type observed with other incomplete factorizations, and the effects of instability are characterized in terms of the relaxation parameter. Several stabilized incomplete factorizations are introduced that are designed to avoid numerically unstable computations. In experiments with two-dimensional problems with variable coefficients and on nonuniform meshes, the stabilized methods are shown to be much more robust than standard incomplete factorizations.
    Type of Medium: Electronic Resource
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