30 citations · 38 across the 4 of their papers we have counts for
4 papers
Using gradient directions to get global convergence of Newton-type methods
Daniela di Serafino, Gerardo Toraldo, Marco Viola
The renewed interest in Steepest Descent (SD) methods following the work of Barzilai and Borwein [IMA Journal of Numerical Analysis, 8 (1988)] has driven us to consider a globaliza…
Modelling Lobbying Behaviour and Interdisciplinarity Dynamics in Academia
Stefano Mazzoleni, Lucia Russo, Francesco Giannino +2
Disciplinary diversity is being recognized today as the key to establish a vibrant academic environment with bigger potential for breakthroughs in research and technology. However,…
A two-phase gradient method for quadratic programming problems with a single linear constraint and bounds on the variables
Daniela di Serafino, Gerardo Toraldo, Marco Viola +1
We propose a gradient-based method for quadratic programming problems with a single linear constraint and bounds on the variables. Inspired by the GPCG algorithm for bound-constrai…
Computational issues and numerical experiments for Linear Multistep Method Particle Filtering
Daniela Calvetti, Salvatore Cuomo, Monica Pragliola +2
The Linear Multistep Method Particle Filter (LMM PF) is a method for predicting the evolution in time of a evolutionary system governed by a system of differential equations. If so…