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jump-dev · Mar 6, 2024 · 319e9ff · 319e9ff
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Showing 2 changed files with 5 additions and 6 deletions.
diff --git a/docs/make.jl b/docs/make.jl
@@ -291,9 +291,8 @@ const _PAGES = [
             "tutorials/getting_started/design_patterns_for_larger_models.md",
             "tutorials/getting_started/performance_tips.md",
         ],
-        "Transitioning" => [
-            "tutorials/transitioning/transitioning_from_matlab.md",
-        ],
+        "Transitioning" =>
+            ["tutorials/transitioning/transitioning_from_matlab.md"],
         "Linear programs" => [
             "tutorials/linear/introduction.md",
             "tutorials/linear/knapsack.md",

diff --git a/docs/src/tutorials/transitioning/transitioning_from_matlab.jl b/docs/src/tutorials/transitioning/transitioning_from_matlab.jl
@@ -28,8 +28,8 @@
 # used YALMIP or CVX by comparing and contrasting their different features.
 
 # !!! tip
-#    If you have not used Julia before, read the [Getting started with Julia](@ref)
-#    tutorial.
+#     If you have not used Julia before, read the [Getting started with Julia](@ref)
+#     tutorial.
 
 # ## Namespaces
 
@@ -144,7 +144,7 @@ m[2]
 # Like CVX, but unlike YALMIP, JuMP has a specific command for setting an
 # objective function:
 
-@objective(model, Min, sum(m[1][i, i] for i in 1:3))
+@objective(model, Min, sum(i * x[i] for i in 1:3))
 
 # Here the third argument is any expression you want to optimize, and `Min` is
 # an objective sense (the other possibility is `Max`).