Unlike general nonlinear optimization methods, geometric programming optimization is computationally efficient, and requires no initial guesses or hyperparameter tuning. Perhaps most importantly, all ...

Abstract:We describe the global optimization of phase-locked loop (PLL) circuits using geometric programming (GP). Equations for the jitter, frequency range, and power of the PLL are presented in GP ...

He has served five 3-year terms as associate editor of the SIAM Journal on Optimization, two 3-year terms as associate editor of the INFORMS Journal Operations Research, and has been guest editor of ...

Geometric optimisation and approximation algorithms form a vibrant research area that intersects computational geometry, combinatorial optimisation and algorithm design. Researchers are dedicated ...

Geometry of optimisation problems Daniel Dadush's research focuses on harnessing the geometric structure of optimization problems. To cope with the need to solve ever more complex optimization ...

This paper investigates the optimal allocation of the marketing budget within the marketing-mix decision variables so that sales (or profit) is maximized in a planning horizon. Since the influence of ...

Article citations More>> Rao, V.R., Kartik, S. and Kumar, V. (2016) Optimization of Marketing Mix Using Geometric Programming: A Case Study of a Beverage Company. Journal of Business Research, 69, ...

This project optimizes gate sizing for digital circuits using geometric programming (GP) to minimize delay while ensuring practical transistor sizes. The optimization process starts with solving ...

Regression analysis was employed to assess the relationship between the 4Ps and revenue, while geometric programming optimized the marketing mix for profit maximization. Results indicate that Product ...

In this paper, we give an applications-oriented survey of geometric programming. This important class of nonlinear programming problems has been intensively studied over the past decade and has played ...

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