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

This paper is concerned with the application of geometric programming to the design of homogeneous field programmable gate array (FPGA) architectures. The paper builds on an increasing body of work ...

Pythonic Aerospace Vehicle Designer - A highly modular conceptual Aircraft designer, coupling geometric global optimization with Raymer, Roskam, Levis and other cool workflows ...

Discover an innovative approach to solving multi-objective posynomial geometric programming problems using Kuhn-Tucker Conditions. Achieve Pareto optimal solutions with this alternative method, ...

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

Geometric Optimization and Approximation Algorithms Publication Trend The graph below shows the total number of publications each year in Geometric Optimization and Approximation Algorithms.

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 ...

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 ...