We know that the probability that the point is inside the quarter disk is equal to π/4, so from the data that we have of the random numbers, we need to determine the number of points that satisfy the condition x 2 + y 2 <= 1, and the number of points of the dataset. The theory is quite impressive and takes a little time to understand it totally, so I really recommend you to read the article for a detailed explanation. In this case, it's possible to calculate the value of Pi using random numbers, using a Monte Carlo Simulation. Most of the developers will see this task a little bit confusing and problematic, however if you research enough, you will find the solution. Now that we understand this, we need to find a way to calculate the value of Pi. So, that's the argument that the approx function will receive, we need to work with this data. pts contains an array like the following one:
#Calculate pi code#
The exercise mentions the approx function that we need to create and receives the pts argument that is generated randomly, specifically by a code like the following one: let pts = In this article, I will share with you a possible solution for this problem using a Monte Carlo simulation with JavaScript.
We know that the probability that the point is inside the quarter disk is equal to π/4.
If x 2 + y 2 <= 1, then the point is inside the quarter disk of radius 1, otherwise the point is outside. The technique is as follows: Take a random point P at coordinate X, Y such that 0 <= x <= 1 and 0 <= y <= 1. In this exercise we will calculate an approximation of π (Pi). In this case, the exercise was new for me and is the following one. In the last days I solved another of those tedious interview assignments when you apply for a new job.
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