Difference between revisions of "Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis"
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Paul Stapor, Fabian Fröhlich, and Jan Hasenauer, [https://doi.org/10.1093/bioinformatics/bty230 Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis], 2018, Bioinformatics, Volume 34, Issue 13, Pages i151–i159 | Paul Stapor, Fabian Fröhlich, and Jan Hasenauer, [https://doi.org/10.1093/bioinformatics/bty230 Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis], 2018, Bioinformatics, Volume 34, Issue 13, Pages i151–i159 | ||
Revision as of 12:10, 25 February 2020
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)