Zobrazeno 1 - 10
of 202
pro vyhledávání: '"Toraldo, Gerardo"'
In the era of big data, an ever-growing volume of information is recorded, either continuously over time or sporadically, at distinct time intervals. Functional Data Analysis (FDA) stands at the cutting edge of this data revolution, offering a powerf
Externí odkaz:
http://arxiv.org/abs/2407.05159
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 globalization strategy based on SD, which is applicable to any line-search meth
Externí odkaz:
http://arxiv.org/abs/2004.00968
Akademický článek
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Autor:
Mazzoleni, Stefano, Russo, Lucia, Giannino, Francesco, Toraldo, Gerardo, Siettos, Constantinos
Publikováno v:
Journal of Computational and Applied Mathematics-Volume 385, 2021, 113194
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, the interaction of several factors including policies, and behavioral
Externí odkaz:
http://arxiv.org/abs/1802.01002
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-constrained convex quadratic programming [J.J. Mor\'e and G. Toraldo, SIAM J.
Externí odkaz:
http://arxiv.org/abs/1705.01797
Autor:
Tozza, Silvia, Toraldo, Gerardo
Publikováno v:
In Applied Mathematics Letters January 2022 123
Akademický článek
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Publikováno v:
In Applied Mathematics and Computation 15 November 2021 409
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 some of the parameters of the governing equations are unknowns, it is po
Externí odkaz:
http://arxiv.org/abs/1605.05042
Autor:
Zazzaro, Gaetano, Cuomo, Salvatore, Martone, Angelo, Montaquila, R. Valentino, Toraldo, Gerardo, Pavone, Luigi
Publikováno v:
In Internet of Things June 2021 14