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  • Articles  (23)
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  • AMS(MOS): 65F10  (23)
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  • Mathematics  (23)
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  • Articles  (23)
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  • Mathematics  (23)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    BIT 29 (1989), S. 311-320 
    ISSN: 1572-9125
    Keywords: AMS(MOS): 65F10 ; CR: 5.14
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract We apply Rouché's theorem to the functional equation relating the eigenvalues of theblock symmetric successive overrelaxation (SSOR) matrix with those of the block Jacobi iteration matrix found by Varga, Niethammer, and Cai, in order to obtain precise domains of convergence for the block SSOR iteration method associated withp-cyclic matricesA, p≥3. The intersection of these domains, taken over all suchp's, is shown to coincide with the exact domain of convergence of thepoint SSOR iteration method associated withH-matricesA. The latter domain was essentially discovered by Neumaier and Varga, but was recently sharpened by Hadjidimos and Neumann.
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 50 (1986), S. 263-271 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary We study semi-iterative (two step interative) methods of the form $$x_{n + 1} = T^* T(\alpha x_n + \gamma x_{n - 1} ) + \beta x_n + (1 - \beta )x_{n - 1} - (\alpha + \gamma )T^* y$$ for the approximate solution of ill-posed or ill-conditioned linear equationsTx=y in (infinite or finite dimensional) Hilbert spaces. We present results on convergence, convergence rates, the influence of perturbed data, and on the comparison of different methods.
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 52 (1988), S. 427-458 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; 65F35 ; 65N20 ; 65N30 ; CR:G1.8
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary We derive and analyze the hierarchical basis-multigrid method for solving discretizations of self-adjoint, elliptic boundary value problems using piecewise linear triangular finite elements. The method is analyzed as a block symmetric Gauß-Seidel iteration with inner iterations, but it is strongly related to 2-level methods, to the standard multigridV-cycle, and to earlier Jacobi-like hierarchical basis methods. The method is very robust, and has a nearly optimal convergence rate and work estimate. It is especially well suited to difficult problems with rough solutions, discretized using highly nonuniform, adaptively refined meshes.
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 51 (1987), S. 517-530 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G.1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary A number of iterative methods for the solution of the singular linear systemAx=b (det(A)=0 andb in the range ofA) is analyzed and studied. Among them are the Stationaryk-Step, the Accelerated Overrelaxation (AOR) and the Nonstationary Second Order Chebyshev Semi-Iterative ones. It is proved that, under certain assumptions, the corresponding optimum semiconvergent schemes, which present a great resemblance with their analogs for the nonsingular case, can be determined. Finally, a number of numerical examples shows how one can use the theory to obtain the optimum parameters for each applicable semiconvergent method.
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 53 (1988), S. 571-593 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary The Chebyshev and second-order Richardson methods are classical iterative schemes for solving linear systems. We consider the convergence analysis of these methods when each step of the iteration is carried out inexactly. This has many applications, since a preconditioned iteration requires, at each step, the solution of a linear system which may be solved inexactly using an “inner” iteration. We derive an error bound which applies to the general nonsymmetric inexact Chebyshev iteration. We show how this simplifies slightly in the case of a symmetric or skew-symmetric iteration, and we consider both the cases of underestimating and overestimating the spectrum. We show that in the symmetric case, it is actually advantageous to underestimate the spectrum when the spectral radius and the degree of inexactness are both large. This is not true in the case of the skew-symmetric iteration. We show how similar results apply to the Richardson iteration. Finally, we describe numerical experiments which illustrate the results and suggest that the Chebyshev and Richardson methods, with reasonable parameter choices, may be more effective than the conjugate gradient method in the presence of inexactness.
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 56 (1989), S. 721-734 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary The acceleration by Tchebychev iteration for solving nonsymmetric eigenvalue problems is dicussed. A simple algorithm is derived to obtain the optimal ellipse which passes through two eigenvalues in a complex plane relative to a reference complex eigenvalue. New criteria are established to identify the optimal ellipse of the eigenspectrum. The algorithm is fast, reliable and does not require a search for all possible ellipses which enclose the spectrum. The procedure is applicable to nonsymmetric linear systems as well.
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 53 (1988), S. 265-283 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; 65F20 ; CR: G.1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary For a square matrixT∈ℂ n,n , where (I−T) is possibly singular, we investigate the solution of the linear fixed point problemx=T x+c by applying semiiterative methods (SIM's) to the basic iterationx 0∈ℂ n ,x k ≔T c k−1+c(k≧1). Such problems arise if one splits the coefficient matrix of a linear systemA x=b of algebraic equations according toA=M−N (M nonsingular) which leads tox=M −1 N x+M −1 b≕T x+c. Even ifx=T x+c is consistent there are cases where the basic iteration fails to converge, namely ifT possesses eigenvalues λ≠1 with |λ|≧1, or if λ=1 is an eigenvalue ofT with nonlinear elementary divisors. In these cases — and also ifx=T x+c is incompatible — we derive necessary and sufficient conditions implying that a SIM tends to a vector $$\hat x$$ which can be described in terms of the Drazin inverse of (I−T). We further give conditions under which $$\hat x$$ is a solution or a least squares solution of (I−T)x=c.
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 56 (1989), S. 179-213 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; 65H10 ; CR: G1.3 ; G1.5
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary We first discuss the solution of a fixed point equationxΦx of a Fréchet differentiable self-mapping Φ by iterative methods of the general form $$x_m : = \left[ {\Phi \left( {\sum\limits_{i = 0}^{m - 1} {x_i \gamma _{i,m - 1} } } \right) - \sum\limits_{j = 0}^{m - 1} {x_j \beta _{j,m} } } \right]\frac{1}{{\beta _{m,m} }},m = 1,2, \ldots ,$$ defined by two infinite nonsingular upper triangular matricesB=(β j, m ) andC=(γ j, m ) with column sums 1. We show that two such methods, defined byB, C and $$\tilde B,\tilde C$$ , respectively, are in a certain sense equivalent if and only if $$C^{ - 1} B = \tilde C^{ - 1} \tilde B$$ . In particular, $$\hat B: = C^{ - 1} $$ and the unit matrix (replacingC) define an equivalent so-called semiiterative method. We introduce (k, l)-step methods as those whereB andC have upper bandwidthk andl−1, respectively. They require storing max {k, l} previous iterates only. For stationary methodsB andC have Toeplitz structure except for their first row, which is chosen such that the column sum condition holds. An Euler method, which may require to store all iterates, is equivalent to a (stationary) (k, l)-step method if and only if the underlying conformal mapg is a rational function of the formg(w)=w(μ 0+...+μ k −k )/ (v 0+...+v l−1 w −+1). By choosingg withg(1)=1 such that for some ρ〈1 it maps |w|〉ρ onto the exterior of some continuumS known to contain the eigen values of the Fréchet derivative of Φ, one obtains a feasible procedure for designing a locally converging stationary (k, l)-step method custom-made for a set of problems. In the case Φx≔Tx+d, with a linear operatorT, where one wants to solve a linear system of equations, we show that the residual polynomials of a stationary semiiterative method are generalized Faber polynomials with respect to a particular weight function. Using another weight function leads to what we call almost stationary methods. (The classical Chebyshev iteration is an example of such a method.) We define equivalent almost stationary (k, l)-step methods and give a corresponding convergence result.
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 56 (1989), S. 635-643 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G 1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary The optimality question for blockp-cyclic SOR iterations discussed in Young and Varga is answered under natural conditions on the spectrum of the block Jacobi matrix. In particular, it is shown that repartitioning a blockp-cyclic matrix into a blockq-cyclic form,q〈p, results in asymptotically faster SOR convergence for the same amount of work per iteration. As a consequence block 2-cyclic SOR is optimal under these conditions.
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Numerische Mathematik 56 (1989), S. 645-666 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; 65N20 ; 65N30 ; CR: G 1.8
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary We consider the numerical solution of indefinite systems of linear equations arising in the calculation of saddle points. We are mainly concerned with sparse systems of this type resulting from certain discretizations of partial differential equations. We present an iterative method involving two levels of iteration, similar in some respects to the Uzawa algorithm. We relate the rates of convergence of the outer and inner iterations, proving that, under natural hypotheses, the outer iteration achieves the rate of convergence of the inner iteration. The technique is applied to finite element approximations of the Stokes equations.
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