IJPAM: Volume 63, No. 2 (2010)



College of Natural and Social Sciences
California State University
5151, Los Angeles, State University Drive, Los Angeles, CA 90032-8103, USA


Abstract.Newton's algorithm and some of its
variations are often used to find global minima of real valued
functions. We propose another such variation and prove its
local quadratic convergence. We combine this with Armijo type
line search method to produce global convergence, which is
eventually quadratic, for the important class of strictly
convex functions. Computational performance on some standard
test problems is presented, which shows that the proposed model
may be viable.
Received: July 12, 2010
AMS Subject Classification: 90xxx, 90-08
Key Words and Phrases: Newton's method, Armijo line search, global optimization
Source: International Journal of Pure and Applied Mathematics
ISSN: 1311-8080
Year: 2010
Volume: 63
Issue: 2