solvers
23 mins read
Implicit ODE Solvers Are Not Universally More Robust than Explicit ODE Solvers, Or Why No ODE Solver is Best – Beragampengetahuan
By: Christopher Rackauckas Re-posted from: A very common adage in ODE solvers is that if you run into trouble with an explicit method, usually some explicit Runge-Kutta method like RK4, then you should try an implicit method. Implicit methods, because they are doing more work, solving an implicit system via a Newton method having “better” […]
1 min read
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 […]