add vendoring with go dep

vendor/github.com/influxdata/influxdb/influxql/neldermead/neldermead_test.go

@@ -0,0 +1,64 @@
+package neldermead_test
+
+import (
+	"math"
+	"testing"
+
+	"github.com/influxdata/influxdb/influxql/neldermead"
+)
+
+func round(num float64, precision float64) float64 {
+	rnum := num * math.Pow(10, precision)
+	var tnum float64
+	if rnum < 0 {
+		tnum = math.Floor(rnum - 0.5)
+	} else {
+		tnum = math.Floor(rnum + 0.5)
+	}
+	rnum = tnum / math.Pow(10, precision)
+	return rnum
+}
+
+func almostEqual(a, b, e float64) bool {
+	return math.Abs(a-b) < e
+}
+
+func Test_Optimize(t *testing.T) {
+
+	constraints := func(x []float64) {
+		for i := range x {
+			x[i] = round(x[i], 5)
+		}
+	}
+	// 100*(b-a^2)^2 + (1-a)^2
+	//
+	// Obvious global minimum at (a,b) = (1,1)
+	//
+	// Useful visualization:
+	// https://www.wolframalpha.com/input/?i=minimize(100*(b-a%5E2)%5E2+%2B+(1-a)%5E2)
+	f := func(x []float64) float64 {
+		constraints(x)
+		// a = x[0]
+		// b = x[1]
+		return 100*(x[1]-x[0]*x[0])*(x[1]-x[0]*x[0]) + (1.0-x[0])*(1.0-x[0])
+	}
+
+	start := []float64{-1.2, 1.0}
+
+	opt := neldermead.New()
+	epsilon := 1e-5
+	min, parameters := opt.Optimize(f, start, epsilon, 1)
+
+	if !almostEqual(min, 0, epsilon) {
+		t.Errorf("unexpected min: got %f exp 0", min)
+	}
+
+	if !almostEqual(parameters[0], 1, 1e-2) {
+		t.Errorf("unexpected parameters[0]: got %f exp 1", parameters[0])
+	}
+
+	if !almostEqual(parameters[1], 1, 1e-2) {
+		t.Errorf("unexpected parameters[1]: got %f exp 1", parameters[1])
+	}
+
+}