kccwing

Results 11 comments of kccwing

Hi @ngoiz @ACea15, Thank you so much for the comments! They are absolutely on point. Model generators/ routines are not required for the feature, but is utilised in the test...

Hello @ngoiz , thanks for updating the docker image and the automatic github action to generate these! We aim plan to switch over to a much simpler environment.yml file as...

Appreciate the help with the PR @ben-l-p and @wong-hl! Thank you again :) Shall I merge this one as well and then it goes in the latest (minor) version?

Brilliant! No worries, and thanks again for the help and verification 😊

Pending a discussion re #323 this is ready for review, thanks!

I'd put this on hold for until I can look into the multi platform build without the tvtk dependencies - also the "publish" test should be automatically skipped. Thanks!

Great addition to the code!! As discussed, might be worth extending this to eventually replace the `AsymptoticStability` solver - but again, low on the to do list :)

[dev_fuselage_bug](/ImperialCollegeLondon/sharpy/tree/dev_fuselage_bug)

by derivatives you mean the gradients for the trim inputs from the Newton loop?