Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4966144 | Finite Elements in Analysis and Design | 2017 | 10 Pages |
Abstract
In this paper, we present a new ANM continuation algorithm with a predictor based on a new Padé approximant and without the use of a correction process. The ANM is a numerical method to obtain the solution of a nonlinear problem as a succession of branches [1-7]. Each branch is represented by a vectorial series which is obtained by inverting only one tangent stiffness matrix. The series representation can be replaced by a rational representation which reduces the number of branches necessary to obtain the entire branch of desired solution. In this work, we discuss the use of a new vectorial Padé approximants in the ANM algorithm. In previous works [1, 2, 4, 5], the Padé approximants have been introduced after an orthonormalization of the terms of the vectorial series. In a recent article [8], we have demonstrated that the coefficients biM of the Padé approximants can be chosen in an arbitrary manner. For this purpose, we propose a new choice of vectorial Padé approximants {UpM} at order M which minimizes the relative error between two consecutive vectorial Padé approximants {UpM} at order M and {UpMâ1} at order M â 1. This minimization has been made by a judicious choice of the coefficients biM of the Padé {UpM} at order M as a function of coefficients biMâ1 of the Padé approximants {UpMâ1} at order M â 1 obtained by the classical process of Gram-Schmidt orthonormalization. A comparison of the obtained results with those computed by the use of classical Padé approximants is presented.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Abdellah Hamdaoui, Bouazza Braikat, Noureddine Tounsi, Noureddine Damil,