Recently, I tried to rewrite a MATLAB program in Julia. The program solves a PDE derived from a continuous-time economic model. I got the same result as the MATLAB program, but it was much slower. Then, I reviewed the Performance Tips of Julia and realized that the problem lied in using global variables. Typically, there are a lot of parameters in an economic model and they are typically directly defined as global variables. Then, for convenience, I wrote several functions to calculate some formulae which use these parameters. Since those functions were frequently called in a long loop, the performance is low.
To guide future programming practice, here I experiment several ways to avoid this problem.
Before digging into various ways to avoid this problem, let's first check how slow using global variables can be. To compare the computational time of di
