My pleasure!

it's a question that i personally find easier to answer after having ma5ons crap all over my life. hth.

Hi, nice to hear that you like my work. Higher order schemes extrapolate the trajectories into the future. However, extrapolations become invalid when collisions occur.

Hi Matthias, thank you for your prompt reply. In the 2018 work "An adaptive timestepping algorithm for particle time integration in coupled CFD-DEM simulations", Hariswaran Sitaraman and Ray Grout, a Velocity Verlet second order integration scheme is used in conjunction with a variable time step approach for local domains. This puzzles me, because the answer you have given me makes perfect logical sense. Nonetheless Verlet integration schemes are often used to integrate Newton's equations of motion. From Wikipedia: "The Verlet integrator provides good numerical stability, as well as other properties that are important in physical systems such as time reversibility and preservation of the symplectic form on phase space, at no significant additional computational cost over the simple Euler method." Your answer, which I consider of utmost relevance, seems to suggest that higher order integration schemes only apply in case of hard-sphere contact model and methodology, typical of molecular dynamics or the Discrete Element Method. Could you please confirm or negate this latter assumption? Best regards, Stefano.

Have you considered using Julia? It reads a lot like Python but it's as fast as JavaScript for most applications.

@@Erik_Caballero I do very much thank you for that recommendation... it's just that I seem to have found the ultimate solution because of ChatGPT this December to instantly make awesome Javascript applications by simply converting Tkinter scripts over which it figures out how to optimize. Also... I got it to design what Tkinter version of Blockly, but looks like just a professional text editor until I click near the front of the line that expands it to become the error-resistant template even providing a long list of what it predicts could be what I want it to write. However... because of the time restraint and being new as it gets... I haven't really gotten around to testing it all out... just be gathering scripts galore, then asking the ChatGPT where to place in a skeletal structure as not to overwhelm the network.

If im not mistaking is because canvas tries to run at 60fps by default and 1 / 60 is 0.016 which is how much one frame takes. He is assuming it will run at 60fps given that the calculation is simple

@@marcosdanieltorres7253 Thanks. I understand.

From my little experience in physics simulation, SDF works really well for static objects.

I use c++ for work because its the fastest. Without the fancy stuff JavaScript looks exactly like c++ and the amazing thing is, it's almost as fast look at the demos! The JIT is a masterpiece!