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thank you very much for this Software publication of your findings!
I am currently trying to simulate ODE systems with the coefficient tensors recovered by MANDy.
From my understanding this would be possible using an approach as shown in the Kuramoto Example (using logic analogous to the reconstruction() method therein) or "converting" the coeffecient tensor to an operator tensor and utilizing one of the ODE solvers in "solvers/ode.py".
Unfortunately I am unable to get any coherent results using the "reconstruction()" logic and havent been able to construct a tensor operator from the coefficients. Is there a resource you could recommend to getting started in this?
Again, thank you for any hint and moreso publishing your results on here!
Enrico Uhlenberg
The text was updated successfully, but these errors were encountered:
Thank you for your message. I appreciate your interest in the Scikit-TT toolbox. Depending on the choice of basis functions, the recovery of the ODE can yield different results. If your simulations haven't produced anything meaningful so far, I would be glad if you could provide me with a piece of code (preferably via email at [email protected]).
Dear Dr. Gelß,
thank you very much for this Software publication of your findings!
I am currently trying to simulate ODE systems with the coefficient tensors recovered by MANDy.
From my understanding this would be possible using an approach as shown in the Kuramoto Example (using logic analogous to the reconstruction() method therein) or "converting" the coeffecient tensor to an operator tensor and utilizing one of the ODE solvers in "solvers/ode.py".
Unfortunately I am unable to get any coherent results using the "reconstruction()" logic and havent been able to construct a tensor operator from the coefficients. Is there a resource you could recommend to getting started in this?
Again, thank you for any hint and moreso publishing your results on here!
Enrico Uhlenberg
The text was updated successfully, but these errors were encountered: