Methods for Acceleration of Convergence (Extrapolation) of Vector Sequences
نویسنده
چکیده
An important problem that arises in different areas of science and engineering is that of computing limits of sequences of vectors fxmg, where xm 2C, and the dimension N is very large in many applications. Such vector sequences arise, for example, in the numerical solution of very large systems of linear or nonlinear equations by fixedpoint iterative methods, and limm!1xm are simply the required solutions to these systems. One common source of such systems is the finite-difference or finite-element discretization of continuum problems. In most cases, however, the sequences fxmg converge to their limits extremely slowly. That is, s 1⁄4 limm!1xm can be approximated with a prescribed level of accuracy by xm with very large m. Clearly, this way of approximating s via the xm becomes very expensive computationally. One practical way of tackling this problem effectively is by applying to the sequence fxmg a suitable convergence acceleration method (or extrapolation method). More specifically, let us consider the (linear or nonlinear) system of equations
منابع مشابه
Convergence Acceleration for Some Root nding Methods
{Zusammenfassung Convergence Acceleration for Some Roottnding Methods. We present simple, eecient extrapolation formulas to accelerate the convergence of super-linearly convergent sequences. Applications are given for some roottnding methods such as Newton's method and the secant method. Numerical examples are given showing the eeectiveness of the extrapolation formulas. die EEektivitt at der E...
متن کاملIterative Solution of the Ornstein-zernike Equation with Various Closures Using Vector Extrapolation
The solution of the Ornstein-Zernike equation with various closure approximations is studied. This problem is rewritten as an integral equation that can be solved iteratively on a grid. The convergence of the xed point iterations is relatively slow. We consider transformations of the sequence of solution vectors using non-linear sequence transformations, so-called vector extrapolation processes...
متن کاملAcceleration methods for numeric CSPs
This paper introduces a new way of accelerating the convergence of numeric CSP filtering algorithms, through the use of extrapolation methotis. Extrapolation methods are used in numerical analysis to accelerate the convergence of real number sequences. We will show how to use them for solving numeric csPs, leading to drastic improvement in efficiency.
متن کاملExtrapolation vs. projection methods for linear systems of equations
It is shown that the four vector extrapolation methods, minimal polynomial extrapolation, reduced rank extrapolation, modified minimal polynomial extrapolation, and topological epsilon algorithm, when applied to linearly generated vector sequences, are Krylov subspace methods, and are equivalent to some well known conjugate gradient type methods. A unified recursive method that includes the con...
متن کاملNonlinear Schwarz iterations with Reduced Rank Extrapolation
Extrapolation methods can be a very effective technique used for accelerating the convergence of vector sequences. In this paper, these methods are used to accelerate the convergence of Schwarz iterative methods for nonlinear problems. Some convergence analysis is presented, and it is shown numerically that certain extrapolation methods can indeed be very effective in accelerating the convergen...
متن کامل