Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Yadira Hernández-Solano"'
Publikováno v:
Mathematics, Vol 11, Iss 1, p 71 (2022)
The paper studies numerical methods that preserve a Lyapunov function of a dynamical system, i.e., numerical approximations whose energy decreases, just like in the original differential equation. With this aim, a discrete gradient method is implemen
Externí odkaz:
https://doaj.org/article/c683eafcfcb545f1958df34cf4d761d1
Publikováno v:
Neurocomputing. 164:45-55
This paper presents the construction of a numerical method for implementing algorithms that are based on a gradient flow. In particular, continuous Hopfield networks for solving optimization problems are considered as a case in point. The focus is th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::907390064edcfe007f901c90c790a716
https://doi.org/10.1016/j.neucom.2014.10.091
https://doi.org/10.1016/j.neucom.2014.10.091
Autor:
Hernández-Solano, Yadira1 (AUTHOR), Atencia, Miguel1 (AUTHOR) matencia@uma.es
Publikováno v:
Mathematics (2227-7390). Jan2023, Vol. 11 Issue 1, p71. 21p.