On 2/27/2013 10:24 AM, Carlos Alejandro Perez Lasso wrote: > Alan_Weiss <firstname.lastname@example.org> wrote in message > <email@example.com>... >> On 11/22/2012 2:16 PM, Matt J wrote: >> > "Carlos Alejandro Perez Lasso" <firstname.lastname@example.org> wrote >> in > message <email@example.com>... >> >> >> >> I will try lsqcurvefit and see what happens. Regarding the >> objective >> function, it doesn't have quantizing operations like the >> once you >> described above. It does contain operations that write >> python scripts >> to produce input files for running Abaqus >> simulation and retrieve >> information once the simulation is done. >> > ================= >> > >> > It seems like it would be hard to know in advance whether such a > >> function was even differentiable. As for local flatness, an easy test >> > you can do is >> > >> > small=1e-6; >> > >> > for i=1:N >> > f(x)-f(x+small*rand(size(x))) end >> > >> > If this returns N zeros, it's a strong sign know your objective > >> function f() is locally flat. >> >> You might want to consult the documentation on optimizing simulations >> for suggestions: >> http://www.mathworks.com/help/optim/ug/optimizing-a-simulation-or-ordinary-differential-equation.html >> >> >> Alan Weiss >> MATLAB mathematical toolbox documentation > > Hi Alan and Matt, > > I'm nearly done with my master thesis and I wanted to thank you both > because the information you provided was really helpful. I found the > answer in the section 'Set Larger Finite Differences'. > Thanks a lot. > > Carlos Alejandro Perez
Thanks for letting us know. I'm always happy when my documentation helps someone.
Alan Weiss MATLAB mathematical toolbox documentation