Wrightscape – added a user utility to to specify custom model types, such that some subset of the total number of regimes can share certain parameters.
- Derivation – provide clear examples of the differences and by how much it matters.
- Expected result from the biology: the jaw lever traits should show greater changes than the other traits after a release of constraint.
- Based on previous studies, expect most of the action to be around the intramandibular joint innovation.
- Set up wrightscape to run on the Anolis ecomorph data. Requires custom_Multitype() to specify separate shared and independent parameters on different regimes.
- Get wrightscape to compile on Luke’s Mac. He has gsl libraries installed, yet somehow package won’t compile by R, complains that R cannot find gcc-4.2. Solved aliased gcc to gcc-4.2, and compile worked fine. Wish that didn’t take so long to think of.
- Up and running on Luke’s Anolis data.
PDG Training Problem 1 Conference Call
1b: penalties on rate of change of control variable.
- c depend on h – not a velocity penalty.
- L_1 vs L_2 is a bigger penalty for large changes, small penalty for smaller
- Operational question: do penalties change the nature of the optimal policy?
- No cost penalties, upper bound on h
- Jake with h_max stochastic problem – lose the state independence, alter the Reed solution.
- Highlight differences from constant-escapement policy.
1a: curvature question
Focus on cases where state equation has stable node, chattering/limit cycles introduced by the control.
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