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- Pietro Belotti, Jon Lee, Leo Liberti, FranÃ§ois Margot, Andreas WÃ¤chter
- Optimization Methods and Software
- 2009

Many industrial problems can be naturally formulated using Mixed Integer Nonlinear Programming (MINLP) models and can be solved by spatial Branch&Bound (sBB) techniques. We study the impact of twoâ€¦ (More)

- Paolo Cavedini, Giovanna Riboldi, Arcangela D'Annucci, Pietro Belotti, M Cisima, Laura Bellodi
- Neuropsychologia
- 2002

Certain clinical aspects of patients with Obsessive-Compulsive Disorder (OCD) appear similar to those of patients with damage to the ventromedial sector of the prefrontal cortex. The hypothesis forâ€¦ (More)

- AysegÃ¼l Altin, Edoardo Amaldi, Pietro Belotti, Mustafa Ã‡. Pinar
- Networks
- 2007

We investigate a network design problem under traffic uncertainty which arises when provisioning Virtual Private Networks (VPNs): given a set of terminals that must communicate with one another, andâ€¦ (More)

- Edoardo Amaldi, Pietro Belotti, Raphael Hauser
- IPCO
- 2005

- Edoardo Amaldi, Pietro Belotti, Antonio Capone, Federico Malucelli
- Annals OR
- 2006

Radio planning and coverage optimization are critical issues when deploying and expanding third generation cellular systems. We investigate mixed integer programming models for locating andâ€¦ (More)

- Pietro Belotti
- 2011

Mixed Integer Nonlinear Programming (MINLP) problems present two main challenges: the integrality of a subset of variables and nonconvex (nonlinear) objective function and constraints. Many exactâ€¦ (More)

- Andrea Qualizza, Pietro Belotti, FranÃ§ois Margot
- ArXiv
- 2010

We investigate the use of linear programming tools for solving semidefinite programming relaxations of quadratically constrained quadratic problems. Classes of valid linear inequalities areâ€¦ (More)

- Pietro Belotti, Pierre Bonami, +4 authors Domenico Salvagnin
- Comp. Opt. and Appl.
- 2016

Mixed integer programming (MIP) is commonly used to model indicator constraints, i.e., constraints that either hold or are relaxed depending on the value of a binary variable. Unfortunately, thoseâ€¦ (More)

- Pietro Belotti
- J. Global Optimization
- 2013

We describe a procedure to reduce variable bounds in Mixed In teger Nonlinear Programming (MINLP) as well as Mixed Integer Linear Program ming (MILP) problems. The procedure works by combining pairsâ€¦ (More)

We study a special case of the problem of installing capacity on backbone networks in the presence of an uncertain traffic matrix. The uncertainty model is, in general, defined by a set of linearâ€¦ (More)