From 1342023efc8500d0ed7bf9464eeab7142dfc7bba Mon Sep 17 00:00:00 2001
From: Sathvik Bhagavan <35105271+sathvikbhagavan@users.noreply.github.com>
Date: Wed, 17 Jan 2024 18:45:19 +0530
Subject: [PATCH] docs: fix typo in plot

---
 docs/src/showcase/missing_physics.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/src/showcase/missing_physics.md b/docs/src/showcase/missing_physics.md
index 1aea434ad9f..0262e6046fd 100644
--- a/docs/src/showcase/missing_physics.md
+++ b/docs/src/showcase/missing_physics.md
@@ -284,7 +284,7 @@ How well did our neural network do? Let's take a look:
 pl_losses = plot(1:5000, losses[1:5000], yaxis = :log10, xaxis = :log10,
                  xlabel = "Iterations", ylabel = "Loss", label = "ADAM", color = :blue)
 plot!(5001:length(losses), losses[5001:end], yaxis = :log10, xaxis = :log10,
-      xlabel = "Iterations", ylabel = "Loss", label = "BFGS", color = :red)
+      xlabel = "Iterations", ylabel = "Loss", label = "LBFGS", color = :red)
 ```
 
 Next, we compare the original data to the output of the UDE predictor. Note that we can even create more samples from the underlying model by simply adjusting the time steps!