Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix ODE tutorial link #771

Merged
merged 1 commit into from
Nov 8, 2023
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/src/tutorials/ode.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
!!! note

It is highly recommended you first read the [solving ordinary differential
equations with DifferentialEquations.jl tutorial](https://docs.sciml.ai/DiffEqDocs/stable/tutorials/ode_example/)
equations with DifferentialEquations.jl tutorial](https://docs.sciml.ai/DiffEqDocs/stable/getting_started/)
before reading this tutorial.

This tutorial is an introduction to using physics-informed neural networks (PINNs) for solving ordinary differential equations (ODEs). In contrast to the later parts of this documentation which use the symbolic interface, here we will focus on the simplified [`NNODE`](@ref) which uses the `ODEProblem` specification for the ODE.
Expand Down
Loading