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.
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.
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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