Sublime
An inspiration engine for ideas
Think you know curves? Despite being only one-dimensional, these creatures have surprisingly rich and beautiful structure.
This lecture is a 1st intro to curves, including the fundamental theorem & Whitney-Graustein + applications to geometry processing!
https://t.co/RIbElEPfML... See more
Keenan Cranex.com
Your butler doesn't need a PHD... but he does need to live in your house.
Why small ‘dumb’ models win, and expensive big models cost a lot, and get paid very little (just like real PHDs) https://t.co/TXBicAixrX
1. Makélélé and Linear Algebra
graphicallinearalgebra.net
A great series of lectures on linear algebra from Gilbert Strang, specialized for deep learning https://t.co/0PuPUqgqps; book here https://t.co/PqVVib6Vwn
Patrick Mineaultx.com
Last term I took linear algebra and absolutely loved it!
I took copious notes, explaining the *feel* to myslef
Publishing them now: https://t.co/i4wfpim3ES
Oldies but goldies: S. Osher and J. A. Sethian, Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations, 1988. Lays out the foundations of the level set method for curve and surface evolutions. https://t.co/ntkCUD9yUG https://t.co/NnWDwQPbXb
@avansteenweghen There is also this guy, Russian crazy math guy
Yakov Perelman https://t.co/9IazCq6JyW
Once you have told me the three functions A(x1, x2), B(x1, x2), and C(x1, x2), the formula (7.3) gives us a way to calculate the length of any curve we draw. And that information, says Riemann, is sufficient to completely determine the geometry of the manifold. Everything we ever want to know—angles, areas, curvature—is contained in just those
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