Thank you very much for your help and the examples provided. I was able to
implement the Jacobian-times-vector (Jv) approach as recommended, and it
works great!.
Art
El mar, 8 jul 2025 a las 13:36, Zhang, Hong () escribió:
> For a python example, please take a look at
> src/binding/pe
matrix-free Newton-Krylov method to approximate the
Jacobian and have adjusted the tolerances to achieve convergence, as
recommended by Barry. In that case, I obtain similar integration times
with scikits.odes CVODE without using the Jacobian times vector.
Best regards,
Art
pport
thanks
Art
El lun, 16 jun 2025 a las 20:51, Barry Smith () escribió:
>
>Can you please post the entire code so we can run it ourselves to
> reproduce the problem.
>
> I suspect the code maybe using a dense matrix to represent the
> Jacobian. This ill require
lar results to
the rk solver in PETSC. I suspect the issue might be related to the way the
Jacobian is built in PETSC, but scikits.odes.sundials.cvode works perfectly
without requiring the Jacobian. I would greatly appreciate any suggestions
or examples on how to properly set up the BDF solver with PETSc.
Thanks
Art