Mojoð¥ â¤ï¸ Pi ð¥§: Approximating Pi with Mojoð¥ using Monte Carlo methods
Blog post from Modular
March 14th, known as Pi Day, celebrates the mathematical constant π, and the blog post explores the beauty of mathematics by implementing a fast vectorized Monte Carlo method to approximate π using the Mojo programming language. The Monte Carlo method relies on random sampling within a unit square and calculating the proportion of points falling within an inscribed circle to estimate π. The post details the process of generating random coordinates, using SIMD operations to efficiently determine points within the circle, and employing a vectorized sum reduction to calculate the approximation. The implementation leverages Mojo's features, such as the MojoArray data structure and vectorization functions, to enhance computational speed and accuracy, with the full code available on GitHub. The author aims to engage readers with both the mathematical and programming aspects of approximating π while celebrating Pi Day.