Fix note admonition

Author: klamike

docs/src/tutorials/linear.md

@@ -84,11 +84,10 @@ LinearSolve.jl specifically tests with the following cases:
 
 !!! note
 
-
-Choosing the most specific matrix structure that matches your specific system will give you the most performance.
-Thus if your matrix is symmetric, specifically building with `Symmetric(A)` will be faster than simply using `A`,
-and will generally lead to better automatic linear solver choices. Note that you can also choose the type for `b`,
-but generally a dense vector will be the fastest here and many solvers will not support a sparse `b`.
+    Choosing the most specific matrix structure that matches your specific system will give you the most performance.
+    Thus if your matrix is symmetric, specifically building with `Symmetric(A)` will be faster than simply using `A`,
+    and will generally lead to better automatic linear solver choices. Note that you can also choose the type for `b`,
+    but generally a dense vector will be the fastest here and many solvers will not support a sparse `b`.
 
 ## Using Matrix-Free Operators via SciMLOperators.jl