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  • 1
    Book
    Book
    Berlin u.a. :Springer,
    Title: Matrix iterative analysis; 27
    Author: Varga, Richard S.
    Edition: 2nd rev. and exp. ed.
    Publisher: Berlin u.a. :Springer,
    Year of publication: 2000
    Pages: 358 S.
    Series Statement: Springer series in computational mathematics 27
    Type of Medium: Book
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  • 2
    ISSN: 0945-3245
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 6 (1964), S. 366-376 
    ISSN: 0945-3245
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 11 (1968), S. 320-323 
    ISSN: 0945-3245
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 11 (1968), S. 361-369 
    ISSN: 0945-3245
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 35 (1980), S. 69-79 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: 5.14
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary Sharpness is shown for three upper bounds for the spectral radii of point S.O.R. iteration matrices resulting from the splitting (i) of a nonsingularH-matrixA into the ‘usual’D−L−U, and (ii) of an hermitian positive definite matrixA intoD−L−U, whereD is hermitian positive definite andL=1/2(A−D+S) withS some skew-hermitian matrix. The first upper bound (which is related to the splitting in (i)) is due to Kahan [6], Apostolatos and Kulisch [1] and Kulisch [7], while the remaining upper bounds (which are related to the splitting in (ii)) are due to Varga [11]. The considerations regarding the first bound yield an answer to a question which, in essence, was recently posed by Professor Ridgway Scott: What is the largest interval in ω, ω≧0, for which the point S.O.R. iterative method is convergent for all strictly diagonally dominant matrices of arbitrary order? The answer is, precisely, the interval (0, 1].
    Type of Medium: Electronic Resource
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  • 7
    ISSN: 0945-3245
    Keywords: 15A57 ; 15A48
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary It was recently shown that the inverse of a strictly ultrametric matrix is a strictly diagonally dominant Stieltjes matrix. On the other hand, as it is well-known that the inverse of a strictly diagonally dominant Stieltjes matrix is a real symmetric matrix with nonnegative entries, it is natural to ask, conversely, if every strictly diagonally dominant Stieltjes matrix has a strictly ultrametric inverse. Examples show, however, that the converse is not true in general, i.e., there are strictly diagonally dominant Stieltjes matrices in ℝ n×n (for everyn≧3) whose inverses are not strictly ultrametric matrices. Then, the question naturally arises if one can determine which strictly diagonally dominant Stieltjes matrices, in ℝ n×n (n≧3), have inverses which are strictly ultrametric. Here, we develop an algorithm, based on graph theory, which determines if a given strictly diagonally dominant Stieltjes matrixA has a strictly ultrametric inverse, where the algorithm is applied toA and requires no computation of inverse. Moreover, if this given strictly diagonally dominant Stieltjes matrix has a strictly ultrametric inverse, our algorithm uniquely determines this inverse as a special sum of rank-one matrices.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 64 (1993), S. 213-240 
    ISSN: 0945-3245
    Keywords: 65F10
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary We present here a new hybrid method for the iterative solution of large sparse nonsymmetric systems of linear equations, say of the formAx=b, whereA ∈ ℝ N, N , withA nonsingular, andb ∈ ℝ N are given. This hybrid method begins with a limited number of steps of the Arnoldi method to obtain some information on the location of the spectrum ofA, and then switches to a Richardson iterative method based on Faber polynomials. For a polygonal domain, the Faber polynomials can be constructed recursively from the parameters in the Schwarz-Christoffel mapping function. In four specific numerical examples of non-normal matrices, we show that this hybrid algorithm converges quite well and is approximately as fast or faster than the hybrid GMRES or restarted versions of the GMRES algorithm. It is, however, sensitive (as other hybrid methods also are) to the amount of information on the spectrum ofA acquired during the first (Arnoldi) phase of this procedure.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 68 (1994), S. 169-185 
    ISSN: 0945-3245
    Keywords: Mathematics Subject Classification (1991): 30C15
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary. With $s_{n} (z)$ denoting the $n$ -th partial sum of ${\rm e}^{z}$, the exact rate of convergence of the zeros of the normalized partial sums, $s_{n} (nz)$ , to the Szeg\"o curve $D_{0,\infty}$ was recently studied by Carpenter et al. (1991), where $D_{0,\infty}$ is defined by \[ D_{0,\infty} := \{ z \in {\Bbb C} : | z {\rm e}^{1-z}| = 1 {\rm \ and\ } |z| \leq 1\}. \] Here, the above results are generalized to the convergence of the zeros and poles of certain sequences of normalized Pad\'{e} approximants $R_{n,\nu} ((n+\nu)z)$ to ${\rm e}^{z}$ , where $R_{n,\nu} (z)$ is the associated Pad\'{e} rational approximation to ${\rm e}^{z}$ .
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 20 (1973), S. 252-256 
    ISSN: 0945-3245
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary In this note, the minimal Gerschgorin setG is defined for a matrixA, relative to a matrixD and a familyF of norms. This minimal Gerschgorin set is shown to be an inclusion region for the eigenvalues of a related collection $$\widehat\Omega $$ of matrices, i.e., $$\sigma (\widehat\Omega ) \subseteq G.$$ The main result is a necessary and sufficient condition for equality to hold in the above inclusion. In addition, examples are given, one for which equality does not hold in the above inclusion.
    Type of Medium: Electronic Resource
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