Generalized sensitivity functions for size-structured population models

  title={Generalized sensitivity functions for size-structured population models},
  author={Dustin D. Keck and David M. Bortz},
  journal={Journal of Inverse and Ill-posed Problems},
  pages={309 - 321}
Abstract Size-structured population models provide a popular means to mathematically describe phenomena such as bacterial aggregation, schooling fish, and planetesimal evolution. For parameter estimation, a generalized sensitivity function (GSF) provides a tool that quantifies the impact of data from specific regions of the experimental domain. This function helps to identify the most relevant data subdomains, which enhances the optimization of experimental design. To our knowledge, GSFs have… 

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