I am trying to create a Python Class to calculate the Kelly Criterion formula in order to determine the precise bet size for an individual sport's investment. I
I'm having a hard time wrapping my head around the issue of an ELO-score-like calculation for a large amount of users on our platform. For example. For every u
The following equations estimate the calories burned when exercising (source): Men: Calories = [(Age x 0.2017) — (Weight x 0.09036) + (Heart Rate x 0.6309
Right now im trying to figure out how to solve standard constrained optimization problems in R which would usually be solved by hand with the use of a lagrangia