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dkaschek
dMod:Dynamic Modeling and Parameter Estimation in ODE Models
The framework provides functions to generate ODEs of reaction networks, parameter transformations, observation functions, residual functions, etc. The framework follows the paradigm that derivative information should be used for optimization whenever possible. Therefore, all major functions produce and can handle expressions for symbolic derivatives.
Maintained by Daniel Kaschek. Last updated 28 days ago.
20 stars 8.35 score 251 scripts
cjgeyer
trust:Trust Region Optimization
Does local optimization using two derivatives and trust regions. Guaranteed to converge to local minimum of objective function.
Maintained by Charles J. Geyer. Last updated 5 years ago.
6.03 score 61 scripts 71 dependents