Approximation of Pi using Go

approxPi.go

package main

import (
  "fmt"
  "math"
  "math/rand"
  "time"
)

// Returns the number of successes, to approx pi use formula
// (successes / totalSimulations) * 4 
func monteCarloPi(numSimulations int, c chan <- int) {
  random := rand.New(rand.NewSource(time.Now().UnixNano()))
  successes := 0
  for i := 0; i < numSimulations; i++ {
    x := random.Float64()
    y := random.Float64()

    if math.Pow(x,2) + math.Pow(y,2) <= 1 {
      successes++
    }
  }
  c  <- successes
}

func main() {
  start := time.Now()
  c := make(chan int)
  var successes int
  numPerSimulation := 50000000
  numSimulations := 5

  for i := 0; i < numSimulations; i++ {
    go monteCarloPi(numPerSimulation, c)
  }
  
  for i:= 0; i < numSimulations; i++ {
    successes += <-c
  }
  fmt.Printf("The approximate value of pi is %v \n", float64(successes) / float64(numSimulations * numPerSimulation) * 4.0)
  fmt.Printf("%.2fs total\n", time.Since(start).Seconds())
}