func math.Exp

22 uses

	math (current package)
		erf.go#L259: 	r := Exp(-z*z-0.5625) * Exp((z-x)*(z+x)+R/S)
		erf.go#L339: 		r := Exp(-z*z-0.5625) * Exp((z-x)*(z+x)+R/S)
		exp.go#L14: func Exp(x float64) float64 {
		gamma.go#L110: 	y1 := Exp(x)
		pow.go#L118: 		a1 = Exp(yf * Log(x))
		sinh.go#L53: 		temp = Exp(x) * 0.5
		sinh.go#L56: 		ex := Exp(x)
		sinh.go#L87: 		return Exp(x) * 0.5
		sinh.go#L89: 	ex := Exp(x)
		tanh.go#L91: 		s := Exp(2 * z)

	math/rand
		exp.go#L42: 		if fe[i]+float32(r.Float64())*(fe[i-1]-fe[i]) < float32(math.Exp(-x)) {
		normal.go#L62: 		if fn[i]+float32(r.Float64())*(fn[i-1]-fn[i]) < float32(math.Exp(-.5*x*x)) {
		zipf.go#L28: 	return math.Exp(z.oneminusQ*math.Log(z.v+x)) * z.oneminusQinv
		zipf.go#L32: 	return math.Exp(z.oneminusQinv*math.Log(z.oneminusQ*x)) - z.v
		zipf.go#L51: 	z.hx0minusHxm = z.h(0.5) - math.Exp(math.Log(z.v)*(-z.q)) - z.hxm
		zipf.go#L52: 	z.s = 1 - z.hinv(z.h(1.5)-math.Exp(-z.q*math.Log(z.v+1.0)))
		zipf.go#L72: 		if ur >= z.h(k+0.5)-math.Exp(-math.Log(k+z.v)*z.q) {

	go/printer
		nodes.go#L235: 				geomean := math.Exp(lnsum / float64(count)) // count > 0

	internal/profile
		legacy_profile.go#L677: 	scale := 1 / (1 - math.Exp(-avgSize/float64(rate)))

	runtime/pprof
		protomem.go#L90: 	scale := 1 / (1 - math.Exp(-avgSize/float64(rate)))