Results

**1 - 2**of**2**### Global Optimization with Non-Analytical Constraints

"... This paper presents an approach for the global optimization of constrained nonlinear programming problems in which some of the constraints are non-analytical (non-factorable), defined by a computational model for which no explicit analytical representation is available. ..."

Abstract
- Add to MetaCart

This paper presents an approach for the global optimization of constrained nonlinear programming problems in which some of the constraints are non-analytical (non-factorable), defined by a computational model for which no explicit analytical representation is available.

### Self-Organizing Multivariate Constrained Meta-Modeling Techniques for Passive Microwave and RF Components

, 2005

"... A self-organizing algorithm is developed for multivariate constrained modeling of general passive components. The algorithm builds compact, analytical circuit models and represents the scattering parameters of the passive components as a function of its geometrical parameters and as a function of th ..."

Abstract
- Add to MetaCart

A self-organizing algorithm is developed for multivariate constrained modeling of general passive components. The algorithm builds compact, analytical circuit models and represents the scattering parameters of the passive components as a function of its geometrical parameters and as a function of the frequency. Multiple constraints, or relationships between the geometrical parameters, may exist. The model generation algorithm combines iterative sampling and modeling techniques. It groups a number of full-wave electromagnetic simulations in one multivariate analytic model. The modeling accuracy level is user-defined. The analytical circuit models can easily be implemented and used in commercial circuit simulators. The model extraction provides EM-accuracy and generality at traditional circuit simulation speed.