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Reading this section of the OSPQ paper helped my understanding.
Opinion
Personally, I dislike having an adaptive value. It probably makes sense as a default, general-purpose setting when the problem is unknown. However, for known applications (like MPC), it sounds like I should be able to set the Adaptive rho to False.
It also sounds like it'd be less buggy:
Note that the convergence of the ADMM algorithm is hard to prove in general if the ρ updates happen at each iteration.
The text was updated successfully, but these errors were encountered:
Play with parameter selection
Previously, I didn't understand the meaning of the parameter selections.
Interface
Solver Settings API
Paper
Reading this section of the OSPQ paper helped my understanding.
Opinion
Personally, I dislike having an adaptive value. It probably makes sense as a default, general-purpose setting when the problem is unknown. However, for known applications (like MPC), it sounds like I should be able to set the
Adaptive rho
toFalse
.It also sounds like it'd be less buggy:
The text was updated successfully, but these errors were encountered: