Matlab 2019b optimoptions not work on sparse jacobPattern anymore

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I have just recently update to Matlab2019b, but the optmoptions did not work as I expect.
For example I have sparse jacobian pattern matrix create by A=speye(100000) and feed to optimoption by
'options = optimoptions(@fsolve,'Display','iter','JacobPattern',J,'Algorithm','trust-region','SubproblemAlgorithm','cg');'
It just complain as follows, seems Matlab2019b tries to construct a dense matrix from the sparse. While this code will work on Matlab2018b.
bug.png
Anyone can help for that, please? Thanks

Accepted Answer

Steve Grikschat
Steve Grikschat on 22 Nov 2019
Edited: Steve Grikschat on 2 Jul 2020
This is a bug in optimoptions in R2019b. Thanks for reporting this!
As a workaround until it is fixed, you can use optimset
options = optimset('Display','iter','JacobPattern',J,'Algorithm','trust-region','SubproblemAlgorithm','cg');
======== Update ==========
Note, this bug is fixed in R2020a and later releases.
  3 Comments
Alan Weiss
Alan Weiss on 2 Jul 2020
The syntax for optimset is a little different than optimoptions. Did you try the code as Steve wrote it? This works for me:
J = speye(1e5);
options = optimset('Display','iter','JacobPattern',J,'Algorithm','trust-region','SubproblemAlgorithm','cg');
Alan Weiss
MATLAB mathematical toolbox documentation

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