RosettaCodeData/Task/Monte-Carlo-methods/SequenceL/monte-carlo-methods-1.sequencel
2023-07-01 13:44:08 -04:00

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import <Utilities/Random.sl>;
import <Utilities/Conversion.sl>;
main(args(2)) := monteCarlo(stringToInt(args[1]), stringToInt(args[2]));
monteCarlo(n, seed) :=
let
totalHits := monteCarloHelper(n, seedRandom(seed), 0);
in
(totalHits / intToFloat(n))*4.0;
monteCarloHelper(n, generator, result) :=
let
xRand := getRandom(generator);
x := xRand.Value/(generator.RandomMax + 1.0);
yRand := getRandom(xRand.Generator);
y := yRand.Value/(generator.RandomMax + 1.0);
newResult := result + 1 when x^2 + y^2 < 1.0 else
result;
in
result when n < 0 else
monteCarloHelper(n - 1, yRand.Generator, newResult);