You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This commit was created on GitHub.com and signed with GitHub’s verified signature.
The key has expired.
pyOptSparse v2.0 release notes
Features
Support for SNOPT v7.2 has been removed. From this version forward the code will not be compatible with SNOPT v7.2. The currently tested version of SNOPT is v7.7. This is due to pySNOPT switching to a different entry point for SNOPT (snkerc instead of snoptc) which allows for a user-specified snstop function. This allows us to extract optimizer information at major iterations.
(#39) Major iteration counting has been implemented for SNOPT. All callCounters will now contain the key isMajor which will be True if the point evaluated was for a major step. Note that this is only supported for SNOPT, and isMajor will be set to True for all call counters for other optimizers.
(#39) Additional information for the major iterations can now be stored when using SNOPT. The information stored can be selected via the option Save major iteration variables option. The choices are:
step
merit
feasibility
optimality
penalty
Hessian
slack
lambda
condZHZ.
The first five values are stored at every major iteration by default. Be careful with the Hessian option as the full Hessian matrix can be rather large, and unnecessarily bloat the history file size.
(#77) A new metadata entry is now stored in the history file. This encodes the following information:
optName: name of the optimization
optOptions: all the optimization options used
nprocs: number of procs used
startTime: starting time as a string
endTime: end time as a string
optTime: optimization time in seconds
optimizer: name of the optimizer
version: the pyOptSparse version
gitHash: the git hash of the code used (as discussed in #42)