# This file is part of NIT ( http://www.nitlanguage.org ). # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Approximation of Pi using a Monte Carlo simulation. # # This is just an example of basic math and random operations. module montecarlo # Number of iterations var n = 1000 if args.not_empty then n = 2 ** args.first.to_i # Threshold for output var j = 1 # Number of hits var h = 0 for i in [1..n] do # Random position in the ([0..1[,[0..1[) square var x = 1.0.rand var y = 1.0.rand # Hit if in the circle if x*x + y*y <= 1.0 then h += 1 # Print if i >= j or i == n then print "i={i} h={h} p={(4.0*h.to_f/i.to_f).to_precision(6)}" j *= 2 end end