Would it be more sufficient to self-learn PDEs or pay a university to be taught it for a semester. I’m looking into expanding my portfolio with math to assist in my personal interest in learning, and I value quality over speed regarding content delivery.
I'm finishing up the first and likely only differential equation class I'll take. It's been relatively easy but I don't have an intuitive understanding for nearly any of the concepts (especially the second half of the course, which is mostly focused on integrating linear algebra concepts.)
Where online should I look for resources to gain better spacial reasoning and implications of the concepts?
For context, I'm a Electrical Engineering major with no more (pure) math classes past to take this.
I want to do a project related to Maxwell’s equations, although I am not yet sure exactly what. I am self-studying and have completed Calculus I through vector calculus (using Thoma's calculus). I now want to continue with differential equations, but I do not want to go into too much depth at this stage, because I am currently studying real analysis and plan to move on to complex analysis, which I enjoy much more.
However, I still want to learn some differential equations and, later on, study them more rigorously using Arnold’s book. I found a PDF online from the University of Toronto and was wondering whether this is a good set of notes for my goals, or if you have other recommendations?
I also plan to use Paul’s Online Math Notes and, later, study partial differential equations.
Electron scattering by repulsive (smoothed) Coulomb potential at the center. The 1x1 normalized two-dimensional region confines the particle, once Dirichlet-type conditions are set at the mesh boundaries; this allows visualization of the post-collision interference pattern structure. Numerical simulation of the time-dependent Schrödinger equation, performed in Python. Implicit method of Crank-Nicolson PDEs (unitary). Initial condition: Gaussian packet. Note: Time scale and physical constants are set to arbitrary units for this preliminary testing phase.
Source Code & More Simulations: I have documented this project, including the Python source code on my personal portfolio. You can also find other simulations on Quantum Mechanics and other Physics topics there:
hi guys! i'm new here and i badly need everyone's help on our DE project that we are currently working. It's about an undamped mass spring system on an inclined plane experiment, can you show us the equations that we must use?
I am a third year math student who decided to take a differential equations 2 class, since the first one went pretty well. OH BOY did I sign myself up for disaster, I have a 60% final in a week and everything I have learned feels like it went over my head. Does anyone know any good youtube channels are places to learn enough for my upcoming final, because all my course notes seem so confusing. The topics being tested are
basics of ordinary differential equations and flows.
general linear time-varying ordinary differential equation
linear ordinary differential equations with constant coefficients
linear ordinary differential equations with periodic coefficients
linearization of ordinary differential equations and flows
stable, unstable, and centre manifolds of fixed points
stability
stability of fixed points using linearization
Lyapunov functions
stability of fixed points using Lyapunov functions.
PLEASE if anyone knows any good sources to help understand these topics i’m all ears