Electronic Resource
Springer
Journal of optimization theory and applications
26 (1978), S. 243-252
ISSN:
1573-2878
Keywords:
Geometric programming
;
duality
;
subsidiary problems
;
nonlinear programming
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract The aim of this paper is not to derive new results, but rather to provide insight that will hopefully aid researchers involved in the design and coding of algorithms for geometric programs. The main contributions made here are: (i) a computationally useful interpretation of the Lagrange multipliers associated with the dual orthogonality constraints, (ii) a computationally useful interpretation of the Lagrange multiplier associated with the dual normality constraint, and (iii) an analysis of the much-avoided issue of subsidiary problems.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00933405
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