Abstract
In this paper we study nonmonotone globalization techniques, in connection with iterative derivative-free methods for solving a system of nonlinear equations in several variables. First we define and analyze a class of nonmonotone derivative-free linesearch techniques for unconstrained minimization of differentiable functions. Then we introduce a globalization scheme, which combines nonmonotone watchdog rules and nonmonotone linesearches, and we study the application of this scheme to some recent extensions of the Barzilai–Borwein gradient method and to hybrid stabilization algorithms employing linesearches along coordinate directions. Numerical results on a set of standard test problems show that the proposed techniques can be of value in the solution of large-dimensional systems of equations.
Similar content being viewed by others
References
Barzilai, J., Borwein, J.M.: Two point step size gradient method. IMA J. Numer. Anal. 8, 141–148 (1988)
Brown, P.N.: A local convergence theory for combined inexact-Newton/finite difference methods. SIAM J. Numer. Anal. 4, 407–434 (1987)
Brown, P.N., Saad, Y.: Convergence theory of nonlinear Newton–Krylov algorithms. SIAM J. Optim. 4, 297–330 (1994)
Chamberlain, R.M., Powell, M.J.D., Lemarechal, C., Pedersen, H.C.: The watchdog technique for forcing convergence in algorithms for constrained optimization. Math. Program. 16, 1–17 (1982)
De Leone, R., Gaudioso, M., Grippo, L.: Stopping criteria for linesearch methods without derivatives. Math. Program. 30, 285–300 (1984)
Dennis, J.E. Jr., Schnabel, R.B.: Numerical Methods for Unconstrained Optimization and Nonlinear Equations. Prentice-Hall, Englewood Cliffs (1983)
Dirkse, S.P., Ferris, M.C.: The PATH solver: a non-monotone stabilization scheme for mixed complementarity problems. Optim. Methods Softw. 5, 123–156 (1995)
Eisenstat, S.C., Walker, H.F.: Globally convergent inexact Newton methods. SIAM J. Optim. 4, 16–32 (1994)
Ferris, M.C., Lucidi, S.: Nonmonotone stabilization methods for nonlinear equations. J. Optim. Theory Appl. 81, 815–832 (1996)
Fletcher, R.: On the Barzilai–Borwein method. Technical Report NA/207, Department of Mathematics, University of Dundee, Dundee, Scotland (2001)
Gasparo, M.: A nonmonotone hybrid method for nonlinear systems. Optim. Methods Softw. 13, 79–84 (2000)
Grippo, L., Lampariello, F., Lucidi, S.: A nonmonotone line search technique for Newton’s method. SIAM J. Numer. Anal. 23, 707–716 (1986)
Grippo, L., Lampariello, F., Lucidi, S.: Global convergence and stabilization of unconstrained minimization methods without derivatives. J. Optim. Theory Appl. 56, 385–406 (1988)
Grippo, L., Lampariello, F., Lucidi, S.: A class of nonmonotone stabilization methods in unconstrained optimization. Numer. Math. 59, 779–805 (1991)
Grippo, L., Lucidi, S., Sciandrone, M.: Nonmonotone derivative-free methods for unconstrained optimization. Presented at 1th international conference on optimization methods and software, Hangzhou, China, 15–18 December 2002
Grippo, L., Sciandrone, M.: Nonmonotone globalization techniques for the Barzilai–Borwein gradient method. Comput. Optim. Appl. 23, 143–169 (2002)
Kelley, C.T.: Iterative Methods for Linear and Nonlinear Equations. SIAM, Philadelphia (1995)
Kolda, T.G., Lewis, M.R., Torczon, V.: Optimization by direct search: new perspectives on some classical and modern methods. SIAM Rev. 45, 385–482 (2003)
La Cruz, W., Martinez, J.M., Raydan, M.: Spectral residual method without gradient information for solving large-scale nonlinear systems of equations. Math. Comput. 75, 1429–1448 (2006)
La Cruz, W., Raydan, M.: Nonmonotone spectral methods for large-scale nonlinear systems. Optim. Methods Softw. 18, 583–599 (2003)
Li, D.H., Fukushima, M.: A derivative-free line search and global convergence of Broyden-like method for nonlinear equations. Optim. Methods Softw. 13, 181–201 (2000)
Lucidi, S., Sciandrone, M.: On the global convergence of derivative free methods for unconstrained optimization. SIAM J. Optim. 13, 97–116 (2002)
Ortega, J.M., Rheinboldt, W.C.: Iterative Solution of Nonlinear Equations in Several Variables. Academic, New York (1970)
Pernice, M., Walker, H.F.: NITSOL: a Newton iterative solver for nonlinear systems. SIAM J. Sci. Comput. 19, 302–318 (1998)
Raydan, M.: The Barzilai and Borwein gradient method for the large scale nconstrained minimization problem. SIAM J. Optim. 7, 26–33 (1997)
van de Rotten, B.A.: A limited memory Broyden method to solve high-dimensional systems of nonlinear equations. Ph.D. thesis, Mathematisch Instituut, Universiteit Leiden, The Netherlands (2003)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Grippo, L., Sciandrone, M. Nonmonotone derivative-free methods for nonlinear equations. Comput Optim Appl 37, 297–328 (2007). https://doi.org/10.1007/s10589-007-9028-x
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10589-007-9028-x