From 44a14037e259abe11647e8b7bb74f2e422a39d3e Mon Sep 17 00:00:00 2001
From: Stelios Christodoulou <stelios.christodoulou@inmarsat.com>
Date: Tue, 26 Mar 2024 12:20:00 +0000
Subject: [PATCH] Fix typo in README (#488)

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 2d032cb76..b4b862c3b 100644
--- a/README.md
+++ b/README.md
@@ -23,7 +23,7 @@ provides functionality to perform statistical inference on estimated parameters.
 
 - estimagic wraps algorithms from *scipy.optimize*, *nlopt*, *pygmo* and more.
 - estimagic implements constraints efficiently via reparametrization, so you can solve
-  constrained problems with any optimzer that supports bounds.
+  constrained problems with any optimizer that supports bounds.
 - The parameters of an optimization problem can be arbitrary pytrees
 - The complete history of parameters and function evaluations can be saved in a database
   for maximum reproducibility.