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  • 1
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    The @journal of physical chemistry 〈Washington, DC〉 99 (1995), S. 7028-7035 
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    The @journal of physical chemistry 〈Washington, DC〉 97 (1993), S. 7652-7659 
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Journal of Computational Physics 35 (1980), S. 284-289 
    ISSN: 0021-9991
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Computer Science , Physics
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 0022-4731
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 5
    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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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    BIT 12 (1972), S. 443-467 
    ISSN: 1572-9125
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract To solve large sparse systems of linear equations with symmetric positive definite matrixA=D+L+L*,D=diag(A), with iteration, the SSOR method with one relaxation parameter ω has been applied, yielding a spectral condition number approximately equal to the square root of that ofA, if the condition $$S(\tilde L\tilde L*) \leqq \tfrac{1}{4}$$ , where $$\tilde L = D^{ - \tfrac{1}{2}} LD^{ - \tfrac{1}{2}} $$ , is satisfied and if 0〈ω〈2 is chosen optimally. The matrix arising from the differenced Dirichlet problem satisfies in general the spectral radius condition given above, only if the coefficients of the differential equation are constant and if the mesh-width is uniform. However, using one relaxation parameter for each mesh-point, the main result for the SSOR method, that the spectral condition number varies with a parameterζ 〉 0 likeO([ζ −1 +ζ/λ 1]h −1),h → 0, whereλ 1 h 2 is the smallest eigenvalue ofD −1 A, carries over for variable smooth coefficients and even for certain kinds of discontinuities among the coefficients, if the mesh-width is adjusted properly in accordance with the discontinuity. Since the resulting matrix of iteration has positive eigenvalues, a semi-iterative technique can be used. The necessary number of iterations is thus onlyO(h −1/2).
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    BIT 14 (1974), S. 279-287 
    ISSN: 1572-9125
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The numerical solution of systems of differential equations of the formB dx/dt=σ(t)Ax(t)+f(t),x(0) given, whereB andA (withB and —(A+A T) positive definite) are supposed to be large sparse matrices, is considered.A-stable methods like the Implicit Runge-Kutta methods based on Radau quadrature are combined with iterative methods for the solution of the algebraic systems of equations.
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 1572-9125
    Keywords: 65F10 ; 65N30
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Standard Galerkin finite element methods or finite difference methods for singular perturbation problems lead to strongly unsymmetric matrices, which furthermore are in general notM-matrices. Accordingly, preconditioned iterative methods such as preconditioned (generalized) conjugate gradient methods, which have turned out to be very successful for symmetric and positive definite problems, can fail to converge or require an excessive number of iterations for singular perturbation problems. This is not so much due to the asymmetry, as it is to the fact that the spectrum can have both eigenvalues with positive and negative real parts, or eigenvalues with arbitrary small positive real parts and nonnegligible imaginary parts. This will be the case for a standard Galerkin method, unless the meshparameterh is chosen excessively small. There exist other discretization methods, however, for which the corresponding bilinear form is coercive, whence its finite element matrix has only eigenvalues with positive real parts; in fact, the real parts are positive uniformly in the singular perturbation parameter. In the present paper we examine the streamline diffusion finite element method in this respect. It is found that incomplete block-matrix factorization methods, both on classical form and on an inverse-free (vectorizable) form, coupled with a general least squares conjugate gradient method, can work exceptionally well on this type of problem. The number of iterations is sometimes significantly smaller than for the corresponding almost symmetric problem where the velocity field is close to zero or the singular perturbation parameter ε=1.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    BIT 25 (1985), S. 165-187 
    ISSN: 1572-9125
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract We survey preconditioned iterative methods with the emphasis on solving large sparse systems such as arise by discretization of boundary value problems for partial differential equations. We discuss shortly various acceleration methods but the main emphasis is on efficient preconditioning techniques. Numerical simulations on practical problems have indicated that an efficient preconditioner is the most important part of an iterative algorithm. We report in particular on the state of the art of preconditioning methods for vectorizable and/or parallel computers.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    BIT 29 (1989), S. 577-582 
    ISSN: 1572-9125
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Type of Medium: Electronic Resource
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