The paper “A diluted version of the problem of the existence of the Hofstadter sequence“, co-authored by Jonathan Deane and Guido Gentile (Università Roma Tre), has been published in the Journal of Difference Equations and Applications. The paper is published open access (publisher link here). The screenshot below shows the front page of the published […]
Read more
Camilla Nobili was in Germany last week (28-30 April) to give an invited talk at a conference on “Machine Learning and PDEs“. The host for the conference was Friedrich-Alexander University. A link to the conference website is available (link here). Camilla spoke on “Quantification of enhanced dissipation and mixing for time-dependent shear flows“. A video […]
Read more
The annual EGU General Assembly meeting this year was held in Vienna from 27 April to 2 May. It welcomed 20,984 registered attendees, of which 18,646 made their way to Vienna from 120 countries and 2,338 joined online from 104 countries. Werner Bauer and Robert Piel attended and gave talks. In addition, Werner was the […]
Read more
Cesare Tronci is currently on a research visit to America. On 5-6 May he was visiting University of California at Santa Barbara. His host was Carlos García-Cervera. He gave a talk on “Koopmon trajectories in nonadiabatic quantum-classical dynamics” at UCSB on 6 May (link here). Cesare engaged in research discussion with Carlos and Emmanuel Lorin who […]
Read more
The paper “Monge–Ampère geometry and the Eady problem“, co-authored by Roberto D’Onofrio (former PhD student at Surrey), Giovanni Ortenzi (University of Torino), and Ian Roulstone, has been published today (7 May) in Proceedings A of the Royal Society of London. The paper formalizes the idea of a Chynoweth–Sewell front and illuminates its geometrical meaning from […]
Read more
The paper “Influence network reconstruction from discrete time-series of count data modelled by multidimensional Hawkes processes“, co-authored by Naratip Santitissadeekorn, Martin Short (Georgia Tech), and David Lloyd, has been accepted for publication in PhysicaD. The paper develops network inference methods for both batched and sequential count data, and they introduce an ensemble-based algorithm, rooted in […]
Read more
