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  • Articles  (23)
  • AMS(MOS): 65F10  (23)
  • 1985-1989  (23)
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  • Mathematics  (23)
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  • Mathematics  (23)
  • 1
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    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
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    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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  • 3
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    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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  • 4
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    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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  • 5
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    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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  • 6
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    Numerische Mathematik 56 (1989), S. 529-546 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G1.8
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary Various iterative methods for solving the linear systems associated with finite element approximations to self-adjoint elliptic differential operators are compared based on their performance on serial and parallel machines. The methods studied are all preconditioned conjugate gradient methods, differing only in the choice of preconditioner. The preconditioners considered arise from diagonal scaling, incomplete Cholesky decomposition, hierarchical basis functions, and a Neumann-Dirichlet domain decomposition technique. The hierarchical basis function idea is shown to be especially effective on both serial and parallel architectures.
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  • 7
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    Numerische Mathematik 54 (1989), S. 225-242 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G13
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary The Richardson iteration method is conceptually simple, as well as easy to program and parallelize. This makes the method attractive for the solution of large linear systems of algebraic equations with matrices with complex eigenvalues. We change the ordering of the relaxation parameters of a Richardson iteration method proposed by Eiermann, Niethammer and Varga for the solution of such problems. The new method obtained is shown to be stable and to have better convergence properties.
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  • 8
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    Numerische Mathematik 56 (1989), S. 157-177 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; 65N20 ; 65N30 ; CR: G1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary A recursive way of constructing preconditioning matrices for the stiffness matrix in the discretization of selfadjoint second order elliptic boundary value problems is proposed. It is based on a sequence of nested finite element spaces with the usual nodal basis functions. Using a nodeordering corresponding to the nested meshes, the finite element stiffness matrix is recursively split up into two-level block structures and is factored approximately in such a way that any successive Schur complement is replaced (approximated) by a matrix defined recursively and thereform only implicitely given. To solve a system with this matrix we need to perform a fixed number (v) of iterations on the preceding level using as an iteration matrix the preconditioning matrix already defined on that level. It is shown that by a proper choice of iteration parameters it suffices to use $$v 〉 \left( {1 - \gamma ^2 } \right)^{ - \tfrac{1}{2}} $$ iterations for the so constructedv-foldV-cycle (wherev=2 corresponds to aW-cycle) preconditioning matrices to be spectrally equivalent to the stiffness matrix. The conditions involve only the constant λ in the strengthened C.-B.-S. inequality for the corresponding two-level hierarchical basis function spaces and are therefore independent of the regularity of the solution for instance. If we use successive uniform refinements of the meshes the method is of optimal order of computational complexity, if $$\gamma ^2〈 \tfrac{8}{9}$$ . Under reasonable assumptions of the finite element mesh, the condition numbers turn out to be so small that there are in practice few reasons to use an accelerated iterative method like the conjugate gradient method, for instance.
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  • 9
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    Numerische Mathematik 56 (1989), S. 247-254 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; 68B20 ; CR: G.4 ; F.2.1
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary The Jacobi Overrelaxation (JOR) method is usually cited as a “perfect” parallel algorithm, whereas the Successive Overrelaxation (SOR) method is considered as quite the opposite. For linear systems with dense matrices, an algorithm for the SOR method is presented which is suited for parallelization nearly in the same way as JOR. For systems with band matrices, an algorithm is described which, using a pipeline principle, yields a speedupS=p(1+(p−1)p/m) −1, wherep denotes the number of processors andm the number of SOR iterations. Thus form=p, there is no speedup whereas the speedup tends to its maximal valuep ifm tends to infinity.
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  • 10
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    Numerische Mathematik 56 (1989), S. 283-289 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary Comparison results for weak regular splittings of monotone matrices are derived. As an application we get upper and lower bounds for the convergence rate of iterative procedures based on multisplittings. This yields a very simple proof of results of Neumann-Plemmons on upper bounds, and establishes lower bounds, which has in special cases been conjectured by these authors.
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  • 11
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    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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  • 12
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    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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  • 13
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    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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  • 14
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    Numerische Mathematik 53 (1988), S. 255-264 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; 90C25 ; CR: G 1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary A parallel projection algorithm is proposed to solve the generalized linear least-squares problem: find a vector to minimize the 2-norm distance from its image under an affine mapping to a closed convex cone. In each iteration of the algorithm the problem is decomposed into several independent small problems of finding projections onto subspaces, which are simple and can be tackled parallelly. The algorithm can be viewed as a dual version of the algorithm proposed by Han and Lou [8]. For the special problem under consideration, stronger convergence results are established. The algorithm is also related to the block iterative methods of Elfving [6], Dennis and Steihaug [5], and the primal-dual method of Springarn [14].
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  • 15
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    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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  • 16
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary Ann×n complex matrixB is calledparacontracting if ‖B‖2≦1 and 0≠x∈[N(I-B)]⊥⇒‖Bx‖2〈‖x‖2. We show that a productB=B k B k−1 ...B 1 ofk paracontracting matrices is semiconvergent and give upper bounds on the subdominant eigenvalue ofB in terms of the subdominant singular values of theB i 's and in terms of the angles between certain subspaces. Our results here extend earlier results due to Halperin and due to Smith, Solomon and Wagner. We also determine necessary and sufficient conditions forn numbers in the interval [0, 1] to form the spectrum of a product of two orthogonal projections and hence characterize the subdominant eigenvalue of such a product. In the final part of the paper we apply the upper bounds mentioned earlier to provide an estimate on the subdominant eigenvalue of the SOR iteration matrix ℒω associated with ann×n hermitian positive semidefinite matrixA none of whose diagonal entries vanish.
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  • 17
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    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].
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  • 18
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    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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  • 19
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    Numerische Mathematik 48 (1986), S. 479-498 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G1. 3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary A class of preconditioning methods depending on a relaxation parameter is presented for the solution of large linear systems of equationAx=b, whereA is a symmetric positive definite matrix. The methods are based on an incomplete factorization of the matrixA and include both pointwise and blockwise factorization. We study the dependence of the rate of convergence of the preconditioned conjugate gradient method on the distribution of eigenvalues ofC −1 A, whereC is the preconditioning matrix. We also show graphic representations of the eigenvalues and present numerical tests of the methods.
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  • 20
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    Numerische Mathematik 50 (1986), S. 17-26 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; 65G10 ; CR: G1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary In classical numerical analysis the asymptotic convergence factor (R 1-factor) of an iterative processx m+1=Axm+b coincides with the spectral radius of then×n iteration matrixA. Thus the famous Theorem of Stein and Rosenberg can at least be partly reformulated in terms of asymptotic convergence factor. Forn×n interval matricesA with irreducible upper bound and nonnegative lower bound we compare the asymptotic convergence factor (α T ) of the total step method in interval analysis with the factorα S of the corresponding single step method. We derive a result similar to that of the Theorem of Stein and Rosenberg. Furthermore we show thatα S can be less than the spectral radius of the real single step matrix corresponding to the total step matrix |A| where |A| is the absolute value ofA. This answers an old question in interval analysis.
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  • 21
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    Numerische Mathematik 48 (1986), S. 499-523 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary We derive new estimates for the rate of convergence of the conjugate gradient method by utilizing isolated eigenvalues of parts of the spectrum. We present a new generalized version of an incomplete factorization method and compare the derived estimates of the number of iterations with the number actually found for some elliptic difference equations and for a similar problem with a model empirical distribution function.
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  • 22
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    Numerische Mathematik 49 (1986), S. 461-473 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; 65F15 ; 65F40 ; CR: G.1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary A Determinantal Invariance, associated with consistently ordered weakly cyclic matrices, is given. The DI is then used to obtain a new functional equation which relates the eigenvalues of a particular block Jacobi iteration matrix to the eigenvalues of its associated Unsymmetric Successive Overrelaxation (USSOR) iteration matrix. This functional equation as well as the theory of nonnegative matrices and regular splittings are used to obtain convergence and divergence regions of the USSOR method.
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  • 23
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    Numerische Mathematik 47 (1985), S. 427-434 
    ISSN: 0945-3245
    Keywords: AMS(MOS): 65F10 ; CR: G.1.3
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary In a recent paper, [4], Csordas and Varga have unified and extended earlier theorems, of Varga in [10] and Woźnicki in [11], on the comparison of the asymptotic rates of convergence of two iteration matrices induced by two regular splittings. The main purpose of this note is to show a connection between the Csordas-Varga paper and a paper by Beauwens, [1], in which a comparison theorem is developed for the asymptotic rate of convergence of two nonnegative iteration matrices induced by two splittings which are not necessarily regular. Monotonic norms already used in [1] play an important role in our work here.
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