finmod

Merge with #1459 for MTK handling of DAE systems. I would add: - symbolic arithmetic of parameters. At present, just numeric arithmetic is allowed; - numeric evaluation of jacobian corresponding...

@xtalax Submitted a demo DAE problem specified in MTK at https://github.com/SciML/MethodOfLines.jl/issues/50 . I agree with @rschiemann1 that a tutorial on DAE problems should remain in MTK where it is likely...

@rschiemann1 I have submitted a model DAE/ODE Problem specified in MTK with domains and BCs #50 to MethodOfLines as a prototype for a tutorial

`I just checked your model problem. To be honest, I don't see the connection to MethodOfLines (the code models a DAE problem, what is there to discretize?),` @rschiemann1 Method of...

I confirm that `full_equations()` should be renamed as `reduced_form()` of a ODAE system. The defining characteristic of `reduced_form()` is that its Jacobian is invertible whereas the Jacobian of the structural...

An update on deep backward multistep schemes for nonlinear PDEs from the team mentioned above: https://arxiv.org/pdf/2006.01496.pdf

Solutions with two algorithms using NN and DGM from https://arxiv.org/abs/1907.05980 and 7 test problems. This should be standard NeuralPDE

@KirillZubov Correct. There is this one line difference: ts = [domain.domain.lower:dt/5:domain.domain.upper for domain in domains][1] Let me run the test version to confirm

With 101 observations, there are no kinks in the trajectories. The plots should be presented as scatter to immediately perceive the number of observations that is being used in the...

I have run the example with dt varying from 0.01 to 0.05. As it is now dt= 0.01 produces 101 observations per trajectory in the interval {0,1]. The breakdown of...