3 ms·
This is "mostly" maths for "big data" (aka statistical efficiency over huge set of data or "qsort-ized" algos) but kind of taught the wrong way: first you learn
by sylware 4y ago
This is "mostly" maths for "big data" (aka statistical efficiency over huge set of data or "qsort-ized" algos) but kind of taught the wrong way: first you learn maths, then you code algos based on current hardware architecture.
I had a doubt when I did realize I could not find one of the most important topics of computer science: proof of accuracy of floating point computations.
I see this more like an index of a library of various algorithms, and that, I think it's good.
- maayank 4y agoAny good resources on floating point accuracy proofs/literature? As you say, it’s an often ignored topic while coming up again and again in software engineering
- layer8 4y agoThe general topic is called numerical analysis.
- layer8 4y agoIt’s an “algorithmic toolbox” in the sense of a set of algorithms you can use as tools, not a set of tools for building new algorithms.