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Margherita Porcelli

  • 50 Citations
  • 4 h-Index
20102017
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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

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Projects 2010 2012

LARGO: LARGO - Méthodes de résolution de problèmes d'optimisation de grande taille pour les structures en matériaux composites.

Toint, P. & Porcelli, M.

22/03/10 → 31/08/12

Project: Research

Research Output 2012 2017

  • 50 Citations
  • 4 h-Index
  • 3 Article
  • 1 Commissioned report
  • 1 Other report
7 Downloads (Pure)

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

7 Downloads (Pure)

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