Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis

Revision as of 12:10, 25 February 2020 by Bwday (talk | contribs)

__ NUMBEREDHEADINGS__

Citation

Paul Stapor, Fabian Fröhlich, and Jan Hasenauer, Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis, 2018, Bioinformatics, Volume 34, Issue 13, Pages i151–i159

Summary

In this paper, the performance of multiple optimization approaches for estimating parameters in the context of ODE models in systems biology are investigated.

The following combinations of local and global search strategies were investigated:

  • Local methods: Two deterministic optimization approaches (fmincon with adjoint sensitivities vs. nl2sol with forward sensitivities) vs. gradient-free dynamic hill climbing vs. none (=only global)