Elisa Fevola
Greedy Algorithms for Black-Box Parameterized Modeling of Electromagnetic Structures.
Rel. Stefano Grivet Talocia, Piergiorgio Uslenghi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2018
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (9MB) | Preview |
Abstract
The use of parameterized macromodels has become more and more popular in a wide range of applications, from Electromagnetic Compatibility to microwave engineering, where they can be employed for the analysis, design and optimization of microwave structures. It is quite common, in fact, that for design optimization purposes or sensitivity analysis some geometric properties and physical quantities are left undefined and become variables of the system. Usually data upon which the macromodel is built come from first-principle solvers. This implies that, in order to simulate all configurations that are necessary to build the model, an extremely large amount of full-wave analyses must be performed.
With the increase in the number of dimensions, the quantity of data samples increases exponentially, making the construction of the macromodel too expensive in terms of computational time and resources
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Ente in cotutela
URI
![]() |
Modifica (riservato agli operatori) |
