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Browsing MACSI - Mathematics Application Consortium for Science & Industry by Title

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  • Faqeeh, Ali (University of Limerick, 2016)
    Many of the systems we observe in nature, in societies, or in infrastructures are in the form of a network of interacting units. This underlying network structure shapes the behavior of such systems and is an indispensable ...
  • Cellai, Davide; López, Eduardo; Zhou, Jie; Gleeson, James P.; Bianconi, Ginestra (American Physical Society, 2013)
    From transportation networks to complex infrastructures, and to social and communication networks, a large variety of systems can be described in terms of multiplexes formed by a set of nodes interacting through different ...
  • Dassios, Ioannis K. (Elsevier, 2018)
    In this article, we focus on a generalized problem of linear non-autonomous fractional nabla difference equations. Firstly, we define the equations and describe how this family of problems covers other linear fractional ...
  • Dassios, Ioannis K.; Fountoulakis, Kimon; Gondzio, Jacek (Society for Industrial and Applied Mathematics, 2016)
    In this paper we are concerned with the solution of Compressed Sensing (CS) problems where the signals to be recovered are sparse in coherent and redundant dictionaries. We extend the primal-dual Newton Conjugate Gradients ...
  • Vynnycky, Michael; Masuda, Y (American Institute of Physics, 2013)
    The problem of fast viscous steady Rayleigh-Bénard convection in a rectangular enclosure is revisited using asymptotic and numerical methods. There are two generic cases: in the first, there is zero shear stress at all ...
  • Cregan, Vincent; Lee, William T.; Clune, Louise (SpringerOpen, 2017)
    A soft sensor for measuring product quality in the Bayer process has been developed. The soft sensor uses a combination of historical process data recorded from online sensors and laboratory measurements to predict a key ...
  • Kartun-Giles, Alexander P.; Krioukov, Dmitri; Gleeson, James P.; Moreno, Yamir; Bianconi, Ginestra (MDPI, 2018)
    A projective network model is a model that enables predictions to be made based on a subsample of the network data, with the predictions remaining unchanged if a larger sample is taken into consideration. An exchangeable ...
  • Kyrke-Smith, T.M; Katz, R.F; Fowler, Andrew C. (International Glaciological Society, 2013)
    One challenge in improving our understanding of ice-stream dynamics is to develop models of the spatial and temporal transition from ice-sheet to ice-stream flow. We address this with a new, vertically integrated, higher-order ...
  • Kyrke-Smith, T.M; Katz, R.F; Fowler, Andrew C. (American Geophysical Union, 2015)
    Observations have long associated ice streams with the presence of meltwater at the bed. More recently, theoretical models have been able to reproduce ice stream behavior as a consequence of the coupled dynamics of ice and ...
  • Gleeson, James P.; Durrett, Rick (Nature Publishing Group, 2017)
    An avalanche or cascade occurs when one event causes one or more subsequent events, which in turn may cause further events in a chain reaction. Avalanching dynamics are studied in many disciplines, with a recent focus on ...
  • Gleeson, James P. (2009)
    The motion of overdamped particles in a one-dimensional spatially-periodic potential is considered. The potential is also randomly-fluctuating in time, due to multiplicative colored noise terms, and has a deterministic ...
  • Melnik, Sergey; Hackett, Adam W.; Porter, Mason A; Mucha, Peter J; Gleeson, James P. (American Physical Society, 2011)
    We demonstrate that a tree-based theory for various dynamical processes operating on static, undirected networks yields extremely accurate results for several networks with high levels of clustering. We find that such a ...
  • Robinson, Marguerite; Fowler, Andrew C.; Alexander, A.J.; O'Brien, Stephen B.G. (American Institute of Physics, 2008)
    We describe a simple model of a bubbly two-phase flow which is able to explain why waves propagate downward when a pint of Guinness is poured, and also how the waves are generated. Our theory involves a physically based ...
  • Baxter, Gareth J.; Dorogovtsev, Sergey N.; Mendes, José F.F.; Cellai, Davide (Americann Physical Society, 2014)
    Bootstrap percolation is a simple but nontrivial model. It has applications in many areas of science and has been explored on random networks for several decades. In single-layer (simplex) networks, it has been recently ...

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