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 ...

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.

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 ...

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

Optimization without calculus; geometric programming; convex sets and convex functions; review of linear algebra; linear programming and the simplex method; convex programming; iterative ...

Integer Programming and Optimization Techniques Publication Trend The graph below shows the total number of publications each year in Integer Programming and Optimization Techniques.

Jinqing Ye, Haiyun Huang, Weicheng Liang, Hong Li, The Optimization Design of the Geometric Adaptability of the Console in the Medical Emergency Room of Ship Cabin Based on Ergonomics, Journal of ...