Tezos

(π) #14

Description

3.1415926535.... Computing Pi is deeply routed in human history. We can get an estimate for pi (π) via randomly placing coins on square containing a circle. The more iterations, the more precise the median (middle) estimate for pi will be. The greater the precision of pi; the greener the output. Technicalities and Probabilties (P()): P(Coin In Circle) ≈ Area Of Circle / Area Of Square = πr^2 / 4r^2 P(Coin In Circle) ≈ π/4 P(Coin in Circle) = extracted from number of coins in the circle vs out, by randomly placing coins: = (coins in circle/ coins out of circle) P(Coin In Circle) ≈ π/4 π ≈ 4 x (coins in circle ÷ coins out of circle)

Traits

Tag

maths

Tag

estimate

Tag

precision

Token

Contract: KT1KEa...HaCE
Token ID: 27240

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