Zobrazeno 1 - 10
of 289
pro vyhledávání: '"P. A. Lotito"'
Publikováno v:
Trends in Computational and Applied Mathematics, Vol 24, Iss 1 (2023)
This work introduces a methodology to determine an optimal vaccination strategy for the COVID-19 disease with limited vaccination capacity, considering the delays between vaccine doses in order to minimize the number of deaths. The evolution of the p
Externí odkaz:
https://doaj.org/article/9f650864a28a46809e05987483927c32
The effective design and management of public transport systems are essential to ensure the best service for users. The performance of a transport system will depend heavily on user behaviour. In the common-lines problem approach, users choose which
Externí odkaz:
http://arxiv.org/abs/2405.15631
The Influence Maximization (IM) problem is a well-known NP-hard combinatorial problem over graphs whose goal is to find the set of nodes in a network that spreads influence at most. Among the various methods for solving the IM problem, evolutionary a
Externí odkaz:
http://arxiv.org/abs/2405.10187
We develop the theory of ``conformal twists'' of superconformal field theories in dimensions 3 to 6, extending the well-known analysis of twists for supersymmetric theories. The conformal twists describe all possible inequivalent choices of a nilpote
Externí odkaz:
http://arxiv.org/abs/2403.19753
Autor:
Arregui-García, Beatriz, Longa, Antonio, Lotito, Quintino Francesco, Meloni, Sandro, Cencetti, Giulia
The analysis of complex and time-evolving interactions like social dynamics represents a current challenge for the science of complex systems. Temporal networks stand as a suitable tool to schematise such systems, encoding all the appearing interacti
Externí odkaz:
http://arxiv.org/abs/2402.03866
Autor:
Heidenreich, Ben, Lotito, Matteo
We present a complete proof of the Weak Gravity Conjecture in any perturbative bosonic string theory in spacetime dimension $D\ge6$. Our proof works by relating the black hole extremality bound to long range forces, which are more easily calculated o
Externí odkaz:
http://arxiv.org/abs/2401.14449
Autor:
Agliari, Elena, Alemanno, Francesco, Barra, Adriano, Castellana, Michele, Lotito, Daniele, Piel, Matthieu
Although instantaneous interactions are unphysical, a large variety of maximum entropy statistical inference methods match the model-inferred and the empirically-measured equal-time correlation functions. Focusing on collective motion of active units
Externí odkaz:
http://arxiv.org/abs/2309.01229
We present a new Progressive Hedging Algorithm to solve Stochastic Variational Inequalities in the formulation introduced by Rockafellar and Wets in 2017, allowing the generated subproblems to be approximately solved with an implementable tolerance c
Externí odkaz:
http://arxiv.org/abs/2301.10214
Autor:
Agliari, Elena, Albanese, Linda, Alemanno, Francesco, Alessandrelli, Andrea, Barra, Adriano, Giannotti, Fosca, Lotito, Daniele, Pedreschi, Dino
We consider dense, associative neural-networks trained by a teacher (i.e., with supervision) and we investigate their computational capabilities analytically, via statistical-mechanics of spin glasses, and numerically, via Monte Carlo simulations. In
Externí odkaz:
http://arxiv.org/abs/2212.00606
Autor:
Agliari, Elena, Albanese, Linda, Alemanno, Francesco, Alessandrelli, Andrea, Barra, Adriano, Giannotti, Fosca, Lotito, Daniele, Pedreschi, Dino
We consider dense, associative neural-networks trained with no supervision and we investigate their computational capabilities analytically, via a statistical-mechanics approach, and numerically, via Monte Carlo simulations. In particular, we obtain
Externí odkaz:
http://arxiv.org/abs/2211.14067