Matlab 2019b optimoptions not work on sparse jacobPattern anymore

조회 수: 1(최근 30일)
DIZHONG ZHU 2019년 11월 21일
편집: Steve Grikschat 2020년 7월 2일
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

채택된 답변

Steve Grikschat
Steve Grikschat 2019년 11월 22일
편집: Steve Grikschat 2020년 7월 2일
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.
  댓글 수: 3
Alan Weiss
Alan Weiss 2020년 7월 2일
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

댓글을 달려면 로그인하십시오.

추가 답변(0개)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by