Projects per year
Fingerprint Dive into the research topics where Margherita Porcelli is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 11 Similar Profiles
Nonlinear Least Squares Problem
Mathematics
Derivative-free
Mathematics
Trust Region Subproblem
Mathematics
Gauss-Newton Method
Mathematics
Direct Search
Mathematics
Constrained Least Squares
Mathematics
Trust Region Method
Mathematics
Descent Method
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2010 2012
- 1 Finished
LARGO: LARGO - Méthodes de résolution de problèmes d'optimisation de grande taille pour les structures en matériaux composites.
22/03/10 → 31/08/12
Project: Research
Research Output 2012 2017
BFO, a trainable derivative-free Brute Force Optimizer for nonlinear bound-constrained optimization and equilibrium computations with continuous and discrete variables
Porcelli, M. & Toint, P., 30 Jun 2017, In : Transactions of the American Methematical Society on Mathematical Software. 44, 1, 28 p., 6.Research output: Contribution to journal › Article
File
Direct Search
Derivative-free
Discrete Variables
Constrained optimization
Continuous Variables
Aircraft fuselage sizing with multilevel optimization
Colson, B., Porcelli, M. & Toint, P., 3 May 2013, Namur center for complex systems.Research output: Book/Report/Journal › Commissioned report
File
Belgium
aircraft
mathematics
On the convergence of an inexact Gauss-Newton trust-region method for nonlinear least-squares problems with simple bounds
Porcelli, M., 1 Jan 2013, In : Optimization Letters. 7, 3, p. 447-465 19 p.Research output: Contribution to journal › Article
Trust Region Subproblem
Nonlinear Least Squares Problem
Gauss-Newton Method
Constrained Least Squares
Trust Region Method
New updates of incomplete LU factorizations and applications to large nonlinear systems
Bellavia, S., Morini, B. & Porcelli, M., 2012, Namur: FUNDP. Namur center for complex systems.Research output: Book/Report/Journal › Other report
Updating the regularization parameter in the adaptive cubic regularization algorithm
Gould, N., Porcelli, M. & Toint, P., 1 Sep 2012, In : Computational Optimization and Applications. 53, 1, p. 1-22 22 p.Research output: Contribution to journal › Article
File
Regularization Parameter
Updating
Regularization
Interpolation
Nonlinear Least Squares Problem