Abstract
This work deals with the convergence acceleration of iterative nonlinear methods. Two convergence accelerating techniques are evaluated: the Modified Mininal Polynomial Extrapolation Method (MMPE) and the Padé approximants. The algorithms studied in this work are iterative correctors: Newton’s modified method, a high-order iterative corrector presented in Damil et al. (Commun Numer Methods Eng 15:701–708, 1999) and an original algorithm for vibration of viscoelastic structures. We first describe the iterative algorithms for the considered nonlinear problems. Secondly, the two accelerating techniques are presented. Finally, through several numerical tests from the thin shell theory, Navier–Stokes equations and vibration of viscoelastic shells, the advantages and drawbacks of each accelerating technique is discussed.
Similar content being viewed by others
References
Damil N, Potier-Ferry M, Najah A, Chari R, Lahmam H (1999) An iterative method based upon Padé approximants. Commun Numer Methods Eng 15: 701–708
Mallil E, Lahmam H, Damil N, Potier-Ferry M (2000) An iterative process based on homotopy and perturbation techniques. Comput Methods Appl Mech Eng 190: 1845–1858
Cadou JM, Damil N, Potier-Ferry M, Braikat B (2004) Projection technique to improve high order iterative correctors. Finite Elem Anal Des 41: 285–309
Cabay S, Jackson LW (1976) A polynomial extrapolation method for finding limits and antilimits of vector sequences. SIAM J Numer Anal 13: 734–752
Mesina M (1977) Convergence acceleration for the iterative solution of the equation X = AX + f. Comput Methods Appl Mech Engrg 10(2): 165–173
Brezinski C (1975) Généralisations de la transformation de Shanks, de la table de Padé et de l’ ϵ-algorithme. Calcolo 12: 317–360
Jbilou K, Sadok H (1991) Some results about vector extrapolation methods and related fixed point iterations. J Comput Appl Math 36: 385–398
Jbilou K, Sadok H (2000) Vector extrapolation methods, Applications and numerical comparison. J Comput Appl Math 122: 149–165
Graves-Morris PR, Roberts DE, Salam A (2000) The epsilon algorithm and related topics. J Comp Appl Math 122: 51–80
Brezinski C (2000) Convergence acceleration during the 20th century. J Comp Appl Math 122: 1–21
Najah A, Cochelin B, Damil N, Potier-Ferry M (1998) A critical review of asymptotic numerical methods. Arch Comput Methods Eng 5: 3–22
Duigou L, Daya EM, Potier-Ferry M (2003) Iterative algorithms for non-linear eigenvalue problems. Application to vibrations of viscoelastic shells. Comput Methods Appl Mech Eng 192: 1323–1335
Cochelin B (1994) A path-following technique via an asymptotic-numerical method. Comput Struct 53(5): 1181–1192
De Boer H, Van Keulen F (1997) Padé approximant applied to a non-linear finite element solution strategy. Commun Numer Methods Eng 13: 593–602
Brezinski C, Van Iseghem J (1994) Padé approximants. In: Ciarlet PG, Lions JL(eds) Handbook of numerical analysis, vol 3. North-Holland, Amsterdam
Baker GA, Graves-Morris P (1996) Padé approximants, encyclopedia of mathematics and its applications, 2nd edn. Cambridge University Press, Cambridge
Damil N, Cadou JM, Potier-Ferry M (2004) Mathematical and numerical connections between polynomial extrapolations and Padé approximants. Commun Numer Methods Eng 20(9): 699–707
Jamai R, Damil N (2003) Influence of iterated Gram-Schmidt orthonormalization in the asymptotic numerical method. Comptes Rendus Mec 331(5): 351–356
Giraud L, Langou JL, Rozloznik M (2005) The loss of orthogonality in the Gram–Schmidt orthogonalization process. Comput Math Appl 50(7): 1069–1075
Eriksson A (1991) Derivatives of tangential stiffness matrices for equilibrium path descriptions. Int J Numer Methods Eng 32: 1093–1113
Kouhia R, Mikkola M (1999) Some aspects of efficient path-following. Comput Struct 72: 509–524
Wynn P (1956) On a device for calculating the e m (S n ) transformations. Math Tables Automat Comp 10: 91–96
Wynn P (1966) On the convergence and stability of the epsilon algorithm. SIAM J Numer Anal 3: 91–122
Lahmam H, Cadou JM, Zahrouni H, Damil N, Potier-Ferry M (2002) High-order predictor-corrector algorithms. Int J Numer Method Eng 55: 685–704
Assidi M Méthode asymptotique numérique pour la plasticité, 2007. Doctoral dissertation. Université Paul Verlaine Metz
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Cadou, J.M., Duigou, L., Damil, N. et al. Convergence acceleration of iterative algorithms. Applications to thin shell analysis and Navier–Stokes equations. Comput Mech 43, 253–264 (2009). https://doi.org/10.1007/s00466-008-0303-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00466-008-0303-1