1.5, due on September 14th

I read the assigned reading. The most difficult part I had with the reading is that I haven't taken linear algebra since 2016, so a lot of the linear algebra concepts are not fresh on my mind. It took me a while to remember how to solve for the inverses of matrices and why they're important. I thought the most interesting part of this section was the part that talks about faster algorithms for calculating the multiplication of matrices. It's interesting that there isn't one "best" algorithm either. Using LU decomposition is faster, but has a trade off where numbers can become unstable. QR decomposition is about half as fast but more stable.

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