1. Specials

    Specials When To Use Use this for two-pointer problems that have a problem-specific invariant and do not fit a broad reusable template cleanly.

  2. A first brush with DAWs and LMMS

    I’ve always wanted to be able to make music, something at least, and now with LLMs venturing into such unknown territories has become so easy.

  3. Binary Lifting

    The core idea of the whole process is intuitive to me so I’ll just leave some implemeational comments on stuff and doubts while writing.

  4. Decompositions

    pre-requisites the idea of such decomposition algorithms on trees is that any “breaking” you do, for a reference pair of nodes (u,v) they will be in ONE component until some specific node c, splits them into different ones.

  5. readalong notes on the mml book

    Chapter 2 - Basics I think the initial chapters are REAAALY jargon heavy for no reason linear mappings these are the same as the scalar mappings which basically ASK something about the vector but in this case they map to a diff vector space which is fine ig, more generalised for example R^2 ⇒ Comple...

  6. fastai - computation lin algebra

    Links www.fast.ai/posts/2017-07-17-num-lin-alg.html www.youtube.com/playlist github.com/fastai/numerical-linear-algebra www.youtube.com/watch I need to know this in full end to end todo: first order linear recurrence relations vid 1 this book: www.stat.uchicago.edu/~lekheng/courses/309/books/Trefeth...

  7. matrices

    definitions a matrix is singular if it is not invertible. minor the minor.