Let’s dive directly inside the second diode clipper and follow exactly the same pattern.
I work in an international company, and there are lots of people from different cultures around me, and with whom I need to interact. Out of the blue, it feels like it’s easy to work with all of them, I mean, how difficult could it be to work with them?
Actually, it’s easy, but sometimes interactions are intriguing and people do not react the way you expect them to react. And why is that? Lots of reasons, of course, but one of them is that they have a different culture and do not expect you to explicitly tell them what they did wrong (which is something I do. A lot).
Now that we have a few methods, let’s try to simulate them. For both circuits, I’ll use the forward Euler, then backward Euler and trapezoidal approximations, then I will show the results of changing the start estimate and then finish by the Newton Raphson optimization. I haven’t checked (yet?) algorithms that don’t use the derivative like the bisection or Brent algorithm.
All graphs are done with a x4 oversampling (although I also tried x8, x16 and x32).
Let’s start with the two equations we got from the last post and see what we can do with usual/academic tools to solve them (I will tackle nodal and ZDF tools later in this series).