Literature DB >> 10963656

"Coarse" stability and bifurcation analysis using time-steppers: a reaction-diffusion example.

C Theodoropoulos1, Y H Qian, I G Kevrekidis.   

Abstract

Evolutionary, pattern forming partial differential equations (PDEs) are often derived as limiting descriptions of microscopic, kinetic theory-based models of molecular processes (e.g., reaction and diffusion). The PDE dynamic behavior can be probed through direct simulation (time integration) or, more systematically, through stability/bifurcation calculations; time-stepper-based approaches, like the Recursive Projection Method [Shroff, G. M. & Keller, H. B. (1993) SIAM J. Numer. Anal. 30, 1099-1120] provide an attractive framework for the latter. We demonstrate an adaptation of this approach that allows for a direct, effective ("coarse") bifurcation analysis of microscopic, kinetic-based models; this is illustrated through a comparative study of the FitzHugh-Nagumo PDE and of a corresponding Lattice-Boltzmann model.

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Year:  2000        PMID: 10963656      PMCID: PMC27601          DOI: 10.1073/pnas.97.18.9840

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  10 in total

1.  An equation-free approach to analyzing heterogeneous cell population dynamics.

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Journal:  J Math Biol       Date:  2007-04-11       Impact factor: 2.259

2.  Modeling the 2014 Ebola Virus Epidemic - Agent-Based Simulations, Temporal Analysis and Future Predictions for Liberia and Sierra Leone.

Authors:  Constantinos Siettos; Cleo Anastassopoulou; Lucia Russo; Christos Grigoras; Eleftherios Mylonakis
Journal:  PLoS Curr       Date:  2015-03-09

3.  Coarse-scale PDEs from fine-scale observations via machine learning.

Authors:  Seungjoon Lee; Mahdi Kooshkbaghi; Konstantinos Spiliotis; Constantinos I Siettos; Ioannis G Kevrekidis
Journal:  Chaos       Date:  2020-01       Impact factor: 3.642

4.  Efficient coarse simulation of a growing avascular tumor.

Authors:  Michail E Kavousanakis; Ping Liu; Andreas G Boudouvis; John Lowengrub; Ioannis G Kevrekidis
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-03-22

5.  Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities.

Authors:  Tom Bertalan; Yan Wu; Carlo Laing; C William Gear; Ioannis G Kevrekidis
Journal:  Front Comput Neurosci       Date:  2017-06-12       Impact factor: 2.380

6.  A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems.

Authors:  Liliana Angeles-Martinez; Constantinos Theodoropoulos
Journal:  BMC Bioinformatics       Date:  2015-11-03       Impact factor: 3.169

7.  Visualization of system dynamics using phasegrams.

Authors:  Christian T Herbst; Hanspeter Herzel; Jan G Svec; Megan T Wyman; W Tecumseh Fitch
Journal:  J R Soc Interface       Date:  2013-05-22       Impact factor: 4.118

8.  Forecasting and control policy assessment for the Ebola virus disease (EVD) epidemic in Sierra Leone using small-world networked model simulations.

Authors:  Constantinos I Siettos; Cleo Anastassopoulou; Lucia Russo; Christos Grigoras; Eleftherios Mylonakis
Journal:  BMJ Open       Date:  2016-01-29       Impact factor: 2.692

Review 9.  Numerical Bifurcation Theory for High-Dimensional Neural Models.

Authors:  Carlo R Laing
Journal:  J Math Neurosci       Date:  2014-07-25       Impact factor: 1.300

10.  Defining the mobility range of a hinge-type connection using molecular dynamics and metadynamics.

Authors:  Philip Horx; Armin Geyer
Journal:  PLoS One       Date:  2020-04-13       Impact factor: 3.240

  10 in total

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