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Issues when working on parameter estimation using calculate_sensitivities method. #46
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Sir, thanks for your reply.
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def my_current_function(t):
return I0 * (t >= t0) where
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Thanks for you patient reply. I am working on gradient-based parameter optimization using sensitivity calculation. When It is done, I would like to upload it to this repository(maybe someone will be interested). |
Sounds good! It is amongst the features we want to implement, but not very high on our priority list at the moment. Note that issue #15 is about sensitivities, so let's have future discussions there. |
Recently I am working on parameter estimation using
calculate_sensitivities
method. But there are some issues which I have encountered.calculate_sensitivities
for experiment. Then I have to use the following method, which is not convenient. Is there a better way?The bug is:
RuntimeError: .../casadi/core/interpolant.cpp:67: Assertion "is_increasing(g)" failed: Gridpoints must be strictly increasing
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