recenter coords so that starting guess is utilized by global routines

[nlopt.git] / api / nlopt_minimize.3

diff --git a/api/nlopt_minimize.3 b/api/nlopt_minimize.3
index 312b658fe14a742029542e3d9c37a86c32729ff2..a217805ebcca80cb56fed18cc9715764b55e2f22 100644 (file)
--- a/api/nlopt_minimize.3
+++ b/api/nlopt_minimize.3
@@ -42,10 +42,13 @@ design variables using the specified
 .IR algorithm .
 The minimum function value found is returned in
 .IR fmin ,
-with the corresponding design variable values stored in the array
+with the corresponding design variable values returned in the array
 .I x
 of length
 .IR n .
+The input values in
+.I x
+should be a starting guess for the optimum.
 The inputs
 .I lb
 and
@@ -67,9 +70,7 @@ require the gradient (derivatives) of the function to be supplied via
 .IR f ,
 and other algorithms do not require derivatives.  Some of the
 algorithms attempt to find a global minimum within the given bounds,
-and others find only a local minimum (with the initial value of
-.I x
-as a starting guess).
+and others find only a local minimum.
 .PP
 The
 .B nlopt_minimize