Symbolic-Numerics: how compiler smarts can help improve the performance of numerical methods (nonlinear solvers in Julia) – Beragampengetahuan
By: Christopher Rackauckas Re-posted from: Many problems can be reduced down to solving f(x)=0, maybe even more than you think! Solving a stiff differential equation? Finding out where the ball hits the ground? Solving an inverse problem to find the parameters to fit a model? In this talk we’ll showcase how SciML’s NonlinearSolve.jl is a […]