Literature DB >> 22669299

Estimating the division rate for the growth-fragmentation equation.

M Doumic1, Léon M Tine.   

Abstract

Growth-fragmentation equations arise in many different contexts, ranging from cell division, protein polymerization, neurosciences etc. Direct observation of temporal dynamics being often difficult, it is of main interest to develop theoretical and numerical methods to recover reaction rates and parameters of the equation from indirect observation of the solution. Following the work done in Perthame and Zubelli (Inverse Probl 23:1037-1052, 2007) and Doumic et al. (2009) for the specific case of the cell division equation, we address here the general question of recovering the fragmentation rate of the equation from the observation of the time-asymptotic solution, when the fragmentation kernel and the growth rates are fully general. We give both theoretical results and numerical methods, and discuss the remaining issues.

Mesh:

Year:  2012        PMID: 22669299     DOI: 10.1007/s00285-012-0553-6

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  2 in total

1.  On the calibration of a size-structured population model from experimental data.

Authors:  Marie Doumic; Pedro Maia; Jorge P Zubelli
Journal:  Acta Biotheor       Date:  2010-07-30       Impact factor: 1.774

2.  A mathematical analysis of the dynamics of prion proliferation.

Authors:  Meredith L Greer; Laurent Pujo-Menjouet; Glenn F Webb
Journal:  J Theor Biol       Date:  2006-04-28       Impact factor: 2.691

  2 in total
  3 in total

1.  An Inverse Problem for a Class of Conditional Probability Measure-Dependent Evolution Equations.

Authors:  Inom Mirzaev; Erin C Byrne; David M Bortz
Journal:  Inverse Probl       Date:  2016-07-15       Impact factor: 2.407

2.  Optimization of an amplification protocol for misfolded proteins by using relaxed control.

Authors:  Jean-Michel Coron; Pierre Gabriel; Peipei Shang
Journal:  J Math Biol       Date:  2014-02-25       Impact factor: 2.259

3.  Numerical rate function determination in partial differential equations modeling cell population dynamics.

Authors:  Andreas Groh; Holger Kohr; Alfred K Louis
Journal:  J Math Biol       Date:  2016-06-13       Impact factor: 2.259

  3 in total

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