The Julia Programming Language
Implement second-order ODEs solver using Neural Network in NeuralNetDiffEq.jl [Advanced]
NeuralNetDiffEq is for the development of neural network solvers of differential equations. There is already implemented first-order ODEs solver. It is just needed to understand the existing code in the project and the method itself and add a new feature.
- Implement second-order ODEs
- Add an example of simple second-order ODE
- Add a visualization for the second-order ODE.
This tasks needs some background in Differential Equations and Neural Networks. Please work closely with your mentor if you intend on doing this task.
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Students who completed this task
ccl, rayhan.razzak