Electronic Resource
Springer
Journal of optimization theory and applications
26 (1978), S. 253-264
ISSN:
1573-2878
Keywords:
Geometric programs
;
optimization
;
generalized reduced gradient method
;
nonlinear programming
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract This paper describes the performance of a general-purpose GRG code for nonlinear programming in solving geometric programs. The main conclusions drawn from the experiments reported are: (i) GRG competes well with special-purpose geometric programming codes in solving geometric programs; and (ii) standard time, as defined by Colville, is an inadequate means of compensating for different computing environments while comparing optimization algorithms.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00933406
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