In this Ph.D. thesis an important class of d.c. programs is studied from both a theoretical and an algorithmic point of view. This class of problems is computationally studied with a "branch and bound" and a "branch and reduce" approaches, pointing out the e ffectiveness of partitioning rules and of stack policies for managing the branches. In this light, the results appeared in the literature are extended and deepened on. This study can be virtually divided into three main steps.

"Branch and Bound" and "Branch and Reduce" approaches for a class of D.C. Programs

SALVI, FRANCESCA
2010

Abstract

In this Ph.D. thesis an important class of d.c. programs is studied from both a theoretical and an algorithmic point of view. This class of problems is computationally studied with a "branch and bound" and a "branch and reduce" approaches, pointing out the e ffectiveness of partitioning rules and of stack policies for managing the branches. In this light, the results appeared in the literature are extended and deepened on. This study can be virtually divided into three main steps.
20-mag-2010
Italiano
branch and reduce
d.c. programs
optimization
Cambini, Riccardo
File in questo prodotto:
File Dimensione Formato  
TesiFrancescaSalvi.pdf

embargo fino al 31/05/2050

Tipologia: Altro materiale allegato
Dimensione 745.43 kB
Formato Adobe PDF
745.43 kB Adobe PDF
Bibliografia.pdf

accesso aperto

Dimensione 111.49 kB
Formato Adobe PDF
111.49 kB Adobe PDF Visualizza/Apri
Conclusioni.pdf

accesso aperto

Dimensione 131.86 kB
Formato Adobe PDF
131.86 kB Adobe PDF Visualizza/Apri
Introduzione.pdf

accesso aperto

Dimensione 200.23 kB
Formato Adobe PDF
200.23 kB Adobe PDF Visualizza/Apri

I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/151590
Il codice NBN di questa tesi è URN:NBN:IT:UNIPI-151590