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after looking at the long list of scipy.optimize issues I thought it was a good idea to generate a separate tracking issue for the slsqp optimizer. Why? There is almost a dozen related issues and slsqp is currently being rewritten in Python in #19121. So we could see if the new implementation potentially closes some of them.
#3816 list for the args argument needs to be coerced into tuple #6689 : proposes to use nlopt's implememtation. Can definitely be closed once #19121 is merged. #7519 #15179 #14915 #14394 asks to return Lagrange multipliers #10416slsqp does not work for more than 32bit decision variables #8065slsqp converges to maximum, not minimum #19362 The warning emitted is not helpful
Hi all,
after looking at the long list of
scipy.optimize
issues I thought it was a good idea to generate a separate tracking issue for theslsqp
optimizer. Why? There is almost a dozen related issues andslsqp
is currently being rewritten in Python in #19121. So we could see if the new implementation potentially closes some of them.CC @ilayn
#3816 list for the
args
argument needs to be coerced into tuple#6689 : proposes to use nlopt's implememtation. Can definitely be closed once #19121 is merged.
#7519
#15179
#14915
#14394 asks to return Lagrange multipliers
#10416
slsqp
does not work for more than 32bit decision variables#8065
slsqp
converges to maximum, not minimum#19362 The warning emitted is not helpful
Undocumented parameter
acc
#3824
#7518
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