Hello Stéphane, Sorry for the lag but I tried to investigate a little bit !
Did you try to reproduce on a reduced test case which does not depends on fsqp ? For the 5.5.2 release, I did not notice anything that might impact the behavior of fsqp. -- Clément Le lundi 22 juin 2015 à 14:35 +0200, Stéphane Mottelet a écrit : > Hello Scilab devmasters ! > > I have noticed subtle (but real) differences between successive > versions > of Scilab, here's the whole story: > > I use fsqp to solve an optimization problem where the computation of > the > cost function and its gradient uses a lot of sparse/full matrix > products, and I noticed different convergence behaviour of the same > code > depending on the Scilab version. > > E.g. with Scilab 5.5.0 and 5.5.1 fsqp converges within the prescribed > > tolerance (norm of the gradient), but with 5.5.2 fsqp stops its > iterations without reaching it. When relaxing the tolerance > successful > convergence is obtained but I got slightly different results at the > end. > > I am wondering about which pathway I should follow to identify the > problem, so my questions are the following : > > -is it possible that the scilab version which has been used to > compile > fsqp could produce such a behaviour ? > -did the sparse/sparse and sparse/full product routines change > recently ? > > Best regards, > > S. > > _______________________________________________ dev mailing list [email protected] http://lists.scilab.org/mailman/listinfo/dev
