Aiden Grossman

@alex.forencich The point that you make about the CPU clock frequency being thermally limited is only valid to a point. If you look at liquid nitrogen overclocking, you keep the temperatures well below 273K, but you still can’t run a CPU at even double the clock frequency. You can run quite a bit faster, maybe 50% on well binned silicon, but not that much faster.

Since you are using an arudino nano, you might be able to use one of its analog pins.

The resistance might still be too high for the digital pin to register. If you can, I would try bumping up the voltage to overcome the resistance.

They would need to be pretty close for you to get a reading with 2.8v dc

How far away was the wire from the digital pin from the wire providing Vcc?

Also:electronics.stackexchange.com/a/83137

Doesn't go into a huge amount of detail but gives a decent explanation.

mouser.com/blog/dont-leave-your-pins-floating

@LucasHenrique I found the textbook understanding analysis on library genesis.libgen.pw/download/book/5a1f047f3a044650f5fdbcf8

@TedShifrin It may not be the best way to compute the $QR$ decomposition, but when I was looking into it made sense, and I was not very good at working with householder reflections.

It wasn't my TA. I just found the paper on the internet, and it was quite helpful in understanding how the QR decomposition can be computed with the Gram-Schmidt process.

@TedShifrin thanks for confirming this.

I was reading this paper:math.ucla.edu/~yanovsky/Teaching/Math151B/handouts/…, and it looks like there is a calculation error when the author calculates $u_3$. Can anyone confirm this?

Happy pi day!

@Secret Okay, I guess I did not read the part about n being finite.

@DHMO you can diverge for some specific sequences. For example alternating the signs of the recirpocals of posotive integers produces a convergent series. en.wikipedia.org/wiki/Convergent_series

@ForeverMozart that abstract is pretty funny! the paper though actually looks fairly interesting.

@ChrisD I would recommend this week in machine learning and artificial intelligence. I listen to it on a regular basis and I think it is a great podcast.

well a model that predicts the weather

We should build a model that calculates the weather in Philadelphia

Oh how hard would it be to implement it into one of my games

how many people have attempted voxel terrain in unity