Jason K. Moore
Jason K. Moore
One more thing: all unknown inputs to this system can be discontinuous with respect to time. We have many problems with such solutions in the examples.
No, that creates a discontinuous constraint function.
> Question: what is the advantage of the slack variable method over the smooth step method? In this case, its advantage is that it can find the correct solution for...
The only stipulation is that the NLP objective and constraint functions are continuous. This says nothing about the differential algebraic equations. Opty converts the description of the optimal control of...
I was wondering what it would do if given the initial guess as the smooth solution. Interesting. Note that psi = abs(v) makes the NLP problem discontinuous. SymPy will produce...
In the NLP formulation there are the unknown variables x that are subject to `c_l < c(x) < c_u` and `x_l < x < x_u`. So, in that view all...
I think I must have something wrong in the formulation that causes the difficulty to converge.
It is the formulation shown in the paper, but I don't know if that is what is in the code.
Simpler example from SymPy: ```python import sympy as sm from sympy.utilities.autowrap import ufuncify import numpy as np I, J, K = sm.symbols('I, J, K') f = ufuncify([I, J, K], I...
Yes, this was failing on Windows, OSX, and Linux, see: https://github.com/csu-hmc/opty/actions/runs/9623455533