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I was thinking that adding the option to use a PyTorch learning rate scheduler could improve results and wont be hard to implement. I guess one could do it like that: parameters = [p for net in nets ...
  • dreivmeister
  • Opened 
    on Aug 2, 2024
  • #223

Hello everyone, I am curious about how could I access the differential equations inside the system after calling a function like Solver1D? and how could I know the total of equations that have been implemented ...
  • HuynhTran0301
  • Opened 
    on May 27, 2024
  • #220

Hello everyone, I am trying to solve the differential equations by using neurodiffeq. I need to implement a large system for example a system with 78 equations in total. I think expressing the equations ...
  • HuynhTran0301
  • 3
  • Opened 
    on May 23, 2024
  • #219

When calling BundleSolution1D.load() the new instance is initialized without an eq_param_index argument. Since the _diff_eqs_wrapper function uses the local variable eq_param_index there is no way of recovering ...
  • ptflores1
  • 4
  • Opened 
    on Dec 30, 2023
  • #211

Hello, I was wondering if the code currently supports solving a BVP of the form $L(u) = v,$ where $L$ is some differential operator, $u(x,y), v(x,y) \in \mathbb{R}^2$ and $x$ and $y$ are scalar coordinates. ...
  • ni-sha-c
  • 1
  • Opened 
    on Sep 16, 2023
  • #208

We should have the legacy examples at last and not in the beginning. Also we can try to have better examples as well
  • sathvikbhagavan
  • Opened 
    on Sep 13, 2023
  • #207

Currently, there is a bundle solution available for ODEs. https://colab.research.google.com/drive/1L9NGeLoDONWmCr_tZkjIJziF3yo1OJHE?usp=sharing Is it possible to make a bundle solution for PDEs such as ...
  • oruen321
  • Opened 
    on Jun 10, 2023
  • #203

I have a system with one input (t), two outputs (x and y) and two parameters (a and w): def ode_system(x, y, t): return [diff(x,t)-(a*x - w*y - x*(x**2 + y**2)), diff(y,t)-(a*y + w*x - y*(x**2 + ...
  • FacuRoffet99
  • 1
  • Opened 
    on May 14, 2023
  • #201

Hi, Thanks for developing this awesome package! Here is the problems occured after i used the package to train the examples in https://neurodiffeq.readthedocs.io/en/latest/getstart.html#ODE-Example-1:-Exponential-Decay-(using-the-legacy-solve-function): ...
  • LeonShe
  • 2
  • Opened 
    on May 5, 2023
  • #200

Hi, Thanks for developing this awesome package! I want to solve an inverse problem modelled as a system of ODE evolving through time. I want to calculate several parameters that also depend on time. My ...
  • pabloacera
  • 4
  • Opened 
    on Mar 8, 2023
  • #196
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