Electronic Resource
Springer
Journal of optimization theory and applications
43 (1984), S. 371-381
ISSN:
1573-2878
Keywords:
Unconstrained optimization
;
conjugate-direction methods
;
numerical algorithms
;
rational models
;
quadratic models
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract A conjugate-gradient method for unconstrained optimization, which is based on a nonquadratic model, is proposed. The technique has the same properties as the Fletcher-Reeves algorithm when applied to a quadratic function. It is shown to be efficient when tried on general functions of different dimensionality.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00934461
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