Electronic Resource
Springer
Journal of optimization theory and applications
75 (1992), S. 345-354
ISSN:
1573-2878
Keywords:
Unconstrained optimization
;
generalized Polak-Ribière algorithms
;
inexact line searches
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract A new generalized Polak-Ribière conjugate gradient algorithm is proposed for unconstrained optimization, and its numerical and theoretical properties are discussed. The new method is, in fact, a particular type of two-dimensional Newton method and is based on a finite-difference approximation to the product of a Hessian and a vector.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00941472
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