JuliaFormatter

Author: arnavk23

src/PureJuMP/variational.jl

@@ -11,25 +11,25 @@
 export variational
 
 function variational(; n::Int = default_nvar, kwargs...)
-  h = 1 // (n + 1)
-  x0 = [(i * h) * (1 - i * h) for i = 1:n]
-  model = Model()
-  @variable(model, x[i = 1:n], start = x0[i])
+	h = 1 // (n + 1)
+	x0 = [(i * h) * (1 - i * h) for i ∈ 1:n]
+	model = Model()
+	@variable(model, x[i=1:n], start = x0[i])
 
-  @objective(
-    model,
-    Min,
-    2 * (
-      (sum(x[i] * (x[i] - x[i + 1]) / h for i = 1:(n - 1)) + x[n] * x[n] / h) +
-      n *
-      (h / 2) *
-      (
-        (exp(x[1]) - exp(0)) / (x[1] - 0) +
-        sum((exp(x[j + 1]) - exp(x[j])) / (x[j + 1] - x[j]) for j = 1:(n - 1)) +
-        (exp(0) - exp(x[n])) / (0 - x[n])
-      )
-    )
-  )
+	@objective(
+		model,
+		Min,
+		2 * (
+			(sum(x[i] * (x[i] - x[i+1]) / h for i ∈ 1:(n-1)) + x[n] * x[n] / h) +
+			n *
+			(h / 2) *
+			(
+				(exp(x[1]) - exp(0)) / (x[1] - 0) +
+				sum((exp(x[j+1]) - exp(x[j])) / (x[j+1] - x[j]) for j ∈ 1:(n-1)) +
+				(exp(0) - exp(x[n])) / (0 - x[n])
+			)
+		)
+	)
 
-  return model
+	return model
 end