Julia challenge - FitzHugh–Nagumo model PDE Runge-Kutta solver
问题 I am newbie in Julia programming language, so I don't know much of how to optimize a code. I have heard that Julia should be faster in comparison to Python, but I've written a simple Julia code for solving the FitzHugh–Nagumo model , and it doesn't seems to be faster than Python. The FitzHugh–Nagumo model equations are: function FHN_equation(u,v,a0,a1,d,eps,dx) u_t = u - u.^3 - v + laplacian(u,dx) v_t = eps.*(u - a1 * v - a0) + d*laplacian(v,dx) return u_t, v_t end where u and v are the