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  • 15-point difference methods  (1)
  • AMS(MOS): 65F10  (1)
  • Approximate inverses  (1)
  • Mathematics Subject Classification (1991): 65H10; 65F10  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Computing 46 (1991), S. 233-252 
    ISSN: 1436-5057
    Keywords: Preconditioned iterative methods ; generalized SSOR methods ; wavefront methods ; 15-point difference methods ; mesh-connected computer architectures
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Description / Table of Contents: Zusammenfassung Klassische Wellenfront-vorkonditionierte iterative Methoden für Differenzmatrizen verwenden Wellenfronten, die auf diagonalen (Linien- oder Flächen-) Ordnungen der Gitterpunkte basieren. Da solche Wellenfronten keine konstante Breite haben, ist es nicht möglich, sie effizient auf Parallelrechner-Architekturen auszuführen. Wir diskutieren verschiedene Methoden, wie man Wellenfronten mit konstanter Breite für elliptische Probleme zweiter Ordnung erhalten kann. Insbesondere diskutieren wir die Anwendung dieser Methoden für neun- (2D) und fünfzehnpunktige (3D) Differenzapproximationen des Laplaceoperators, die für geeignete Wahl der Koeffizienten von vierter Ordnung sind. Wir erhalten vorkonditionierte Methoden mit Wellenfronten als vertikale oder horizontale Linien sowohl in 2D als auch in 3D, die die KonditionszahlO(h −1) haben. Die Methoden benutzen nur Verbindungen zu benachbarten Knoten. Infolgedessen können sie nicht nur auf Rechner-Architekturen mit geteiltem Speicher, sondern auch auf verteilten Systemen, Z.B. vernetzten Parallelrechner-Architekturen, effizient ausgeführt werden.
    Notes: Abstract Classical wavefront preconditioned iteration methods for difference matrices on a rectangular or on a rectangular parallelepipedal domain use wavefronts based on diagonal (line or plane, respectively) orderings of the meshpoint. Since such wavefronts do not have constant widths, they cannot be implemented efficiently on parallel computers. We discuss various methods to get wavefronts with constant width for difference matrices for second order elliptic problems. In particular, we discuss their applications for the nine-point (2D) and 15-point (3D) difference approximations for the Laplacian, which are fourth order accurate for proper choices of the coefficients. It turns out that we can easily get preconditioning methods with wavefronts in the form of vertical or horizontal lines both in 2D and 3D, which have condition numberO(h −1), but for general three space dimensional problems no simple ordering leading to constant plane wavefronts seems to exist in general, for which the corresponding preconditioner has such a small condition number. A crucial property we make use of in the methods is the spectral equivalence between the nine-point and the standard five-point difference matrices and between the 15-point and the standard seven-point difference matrices in two and three space dimensions, respectively. The methods use only nearest neighbor connections and can therefore be implemented efficiently not only on shared memory computers but also on distributed memory computer architectures, such as mesh-connected computer architectures.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 69 (1994), S. 1-15 
    ISSN: 0945-3245
    Keywords: Mathematics Subject Classification (1991): 65H10; 65F10
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary. The Generalized Conjugate Gradient method (see [1]) is an iterative method for nonsymmetric linear systems. We obtain generalizations of this method for nonlinear systems with nonsymmetric Jacobians. We prove global convergence results.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 51 (1987), S. 209-227 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR:G1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary A generalizeds-term truncated conjugate gradient method of least square type, proposed in [1a, b], is extended to a form more suitable for proving when the truncated version is identical to the full-term version. Advantages with keeping a control term in the truncated version is pointed out. A computationally efficient new algorithm, based on a special inner product with a small demand of storage is also presented. We also give simplified and slightly extended proofs of termination of the iterative sequence and of existence of ans-term recursion, identical to the full-term version. Important earlier results on this latter topic are found in [15, 16, 8 and 11].
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Numerical Linear Algebra with Applications 1 (1994), S. 213-236 
    ISSN: 1070-5325
    Keywords: Optimal order preconditioners ; Algebraic multilevel ; Chebyshev polynomial approximation ; Diagonal compensation ; Approximate inverses ; Engineering ; Engineering General
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Mathematics
    Notes: The numerical solution of elliptic selfadjoint second-order boundary value problems leads to a class of linear systems of equations with symmetric, positive definite, large and sparse matrices which can be solved iteratively using a preconditioned version of some algorithm. Such differential equations originate from various applications such as heat conducting and electromagnetics. Systems of equations of similar type can also arise in the finite element analysis of structures.We discuss a recursive method constructing preconditioners to a symmetric, positive definite matrix. An algebraic multilevel technique based on partitioning of the matrix in two by two matrix block form, approximating some of these by other matrices with more simple sparsity structure and using the corresponding Schur complement as a matrix on the lower level, is considered.The quality of the preconditioners is improved by special matrix polynomials which recursively connect the preconditioners on every two adjoining levels. Upper and lower bounds for the degree of the polynomials are derived as conditions for a computational complexity of optimal order for each level and for an optimal rate of convergence, respectively.The method is an extended and more accurate algebraic formulation of a method for nine-point and mixed five- and nine-point difference matrices, presented in some previous papers.
    Additional Material: 9 Tab.
    Type of Medium: Electronic Resource
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