A linear code parameter search algorithm with applications to immunology

Gregory M. Constantine, John Bartels, Carson C. Chow, Gilles Clermont, Yoram Vodovotz

Research output: Contribution to journalArticlepeer-review


The immune system is modeled by way of a system of ordinary differential equations involving a large number of parameters, such as growth rates and initial conditions. Key to successful implementation of the model is the estimation of such parameters from available data. A parameter search algorithm based on linear codes is developed having as aim the identification of different regimes of behaviour of the model, the estimation of parameters in a high dimensional space, and the model calibration to data.

Original languageEnglish
Pages (from-to)155-171
Number of pages17
JournalComputational Optimization and Applications
Issue number1
StatePublished - Jan 2009
Externally publishedYes


  • Differential equations
  • Dynamical system modeling
  • Immune system
  • Optimization


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