This paper presents an application of stochastic (posynomial) geometric programming to an optimal engineering design problem. A theory developed by Avriel and Wilde for calculating and bounding the ...

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

Mixed integer programming modeling for the satellite three-dimensional component assignment and layout optimization problem [J].

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 ...

Given the recent success of machine learning in solving computational tasks previously thought unsolvable, we propose to develop methods that apply Bayesian learning to perform meta-learning to speed ...

The geometry optimization requires calculations of energy derivatives with respect to nuclear coordinates of molecules. The finite difference method is one approach for energy derivative calculations.