Update docs/src/examples/pglib_opf.jl

docs/src/examples/pglib_opf.jl

@@ -95,7 +95,7 @@ result = SDDP.simulate(non_convex, 1)
 
 # ## Combining convex and non-convex models
 
-# To summarizing, training with the convex model constructs cuts at points that
+# To summarize, training with the convex model constructs cuts at points that
 # may never be visited by the non-convex model, and training with the non-convex
 # model may construct arbitrarily poor cuts because a key assumption of SDDP is
 # convexity.