AbstractIn this paper we formulate the most general Extrapolated (E). A.D.I. scheme for the numerical solution of an elliptic partial differential equation. We then consider the problem of minimization of the spectral radius of the iterative matrix arising and after a brief reference to previous works in this area we solve the problem theoretically in a special, though still a quite, general case. Thus we are able to prove that all the well known monoparametric or biparametric E.A.D.I. schemes can be accelerated straightforward. Finally we give a list of problems, whose rates of convergence can be improved on by the new general method we propose, as well as appropriate references
AbstractThe Cayley Transform, F:=(I+A)-1(I-A), with A∈Cn,n and -1∉σ(A), where σ(·) denotes spectrum,...
Additive iterative methods of complete approximation for stationary problems of mathematical physics...
An alternating direction implicit (ADI) scheme was constructed by the method of approximate factoriz...
AbstractIn this paper we formulate the most general Extrapolated (E). A.D.I. scheme for the numerica...
AbstractIn this paper an analysis of a second order Chebyshev semi-iterative method for the p-parame...
AbstractWe consider an extrapolation method, based on a linear stationary iterative method of first ...
AbstractThis paper extends the theory concerning the three-level E.A.D.I. schemes to cover the numer...
AbstractIn this paper, the application of preconditioning to improve the convergence rates of iterat...
AbstractWe give a norm estimate for the alternating direction implicit method for nonsymmetric ellip...
The numerical approximation of parametric partial differential equations D(u,y)=0 is a computational...
summary:Limits of the extrapolation coefficients are rational functions of several poles with the la...
In [8], the author discusses an iterative scheme for solving a difference analogue for the elliptic...
AbstractGiven the linear stationary first-order iterative scheme x(m+1 = Tx(m + c for the solution o...
AbstractThe problem of determining the optimal values of extrapolated iterative schemes, as they app...
AbstractThis paper describes a way of approximating the optimal extrapolation of iterative technique...
AbstractThe Cayley Transform, F:=(I+A)-1(I-A), with A∈Cn,n and -1∉σ(A), where σ(·) denotes spectrum,...
Additive iterative methods of complete approximation for stationary problems of mathematical physics...
An alternating direction implicit (ADI) scheme was constructed by the method of approximate factoriz...
AbstractIn this paper we formulate the most general Extrapolated (E). A.D.I. scheme for the numerica...
AbstractIn this paper an analysis of a second order Chebyshev semi-iterative method for the p-parame...
AbstractWe consider an extrapolation method, based on a linear stationary iterative method of first ...
AbstractThis paper extends the theory concerning the three-level E.A.D.I. schemes to cover the numer...
AbstractIn this paper, the application of preconditioning to improve the convergence rates of iterat...
AbstractWe give a norm estimate for the alternating direction implicit method for nonsymmetric ellip...
The numerical approximation of parametric partial differential equations D(u,y)=0 is a computational...
summary:Limits of the extrapolation coefficients are rational functions of several poles with the la...
In [8], the author discusses an iterative scheme for solving a difference analogue for the elliptic...
AbstractGiven the linear stationary first-order iterative scheme x(m+1 = Tx(m + c for the solution o...
AbstractThe problem of determining the optimal values of extrapolated iterative schemes, as they app...
AbstractThis paper describes a way of approximating the optimal extrapolation of iterative technique...
AbstractThe Cayley Transform, F:=(I+A)-1(I-A), with A∈Cn,n and -1∉σ(A), where σ(·) denotes spectrum,...
Additive iterative methods of complete approximation for stationary problems of mathematical physics...
An alternating direction implicit (ADI) scheme was constructed by the method of approximate factoriz...