Abstract
Geometric programming (GP) is a new technique that appears to have significant potential in marketing. Researchers have avoided optimization models in marketing, partially because empirical estimates of typical marketing response functions suggest nonconvex maximization problems not easily handled by conventional nonlinear programming. GP now offers a convenient structure for modeling and optimizing the realistic complexity of many important marketing problems.
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