This mathematics paper broadens the old definition of “a shotgun approach” to solving a problem: “A Ballistic Monte Carlo Approximation of π,” Vincent Dumoulin [pictured here], Félix Thouin, arXiv 1404.1499v2, April 8, 2014. (Thanks to investigator Marcus Sprenkel for bringing this to our attention.) The authors, at the University of Montreal, report: “We compute a […]
Tag: Monte Carlo
Explaining the Tootsie Pop Algorithm
Mark Huber and Sarah Schott prepared a lecture called “Using TPA [the Tootsie Pop Algorithm] for Monte Carlo integration.” The authors are at Claremont McKenna College and Duke University, respectively. You can see their presentation online, if you want to. The algorithm can be used to try to answer the [somewhat ill-defined] question: How many licks […]