Matlab 2019b optimoptions not work on sparse jacobPattern anymore
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DIZHONG ZHU
il 21 Nov 2019
Modificato: Steve Grikschat
il 2 Lug 2020
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
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Steve Grikschat
il 22 Nov 2019
Modificato: Steve Grikschat
il 2 Lug 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 Commenti
Steve Grikschat
il 1 Lug 2020
Does the line of code above not work? What is the error?
Do you have Optimization Toolbox? If not, then the line above will not work.
Alan Weiss
il 2 Lug 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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