Learning to optimize

[lmiq]

For how short it is, this example is nice to show as well:

Seven Lines of Julia (examples sought)

With 15 lines I could write a code to perform a particle simulation with periodic boundary conditions, a langevin thermostat, and a quadratic potential between the particles, and produce an animation: using Plots ; ENV["GKSwstype"]="nul" const N, τ, Δt, λ, T, k = 100, 1000, 0.01, 1e-3, 0.26, 1e-6 const x, v, f = -0.5 .+ rand(3,N), -0.01 .+ 0.02*randn(3,N), zeros(3,N) wrap(x,y) = (x-y) > 0.5 ? (x-y)-1 : ( (x-y) < -0.5 ? (x-y)+1 : (x-y) ) anim = @animate for t in 1:τ f .= 0 for i in 1:N-1, j…

I have also a simulation package written for a discipline, which may be useful: GitHub - m3g/CKP

Unfortunately the actual text of the material is in Portuguese