How do you revise / understand Maths & CompSci at University level? Computer Science |
- How do you revise / understand Maths & CompSci at University level?
- Will Asymptotic Notation (Big O, Big Theta, Big Omega) ever differ?
- How do you differentiate between tree search vs graph search algorithms?
- Why is reducibility important in the context of control-flow graphs?
| How do you revise / understand Maths & CompSci at University level? Posted: 19 Oct 2020 03:08 AM PDT Computer science is a very practical subject. My brain has me convinced that notes should always be a priority when studying, and I know this isn't true for practical subjects like computer science & Maths. Can anyone advise me on how they revise / understand programming & Maths? [link] [comments] |
| Will Asymptotic Notation (Big O, Big Theta, Big Omega) ever differ? Posted: 18 Oct 2020 09:10 PM PDT |
| How do you differentiate between tree search vs graph search algorithms? Posted: 19 Oct 2020 03:54 AM PDT I am posting the link as I don't want to be count as spammer posting same images everywhere!!! [link] [comments] |
| Why is reducibility important in the context of control-flow graphs? Posted: 18 Oct 2020 01:57 PM PDT I'm reading the WebAssembly specification, which mentions its use of structured control flow as a pro because it ensures "control flow cannot form irreducible loops" (p. 4). I don't have a strong background in PL. Why are irreducible loops bad? I get the formal definition of reducible loops but still don't know the advantage of them. Do they provide concrete security or performance benefits? [link] [comments] |
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