Initially, I spent about 20 minutes trying to implement the algorithm in Elixir before I gave up. I really despise admitting to this because it makes me feel like there is a ceiling which I have reached with functional programming as a paradigm in general and by extension Elixir but when designing or implementing an algorithm, my brain thinks in OOP, and its nearly impossible for me to translate that to functional programming in practice.
However, the fact remains that when I theorize about programming and especially algorithms , it is much more intuitive, natural, and easy for me to do so in an OOP paradigm. Does anyone else feel this way?
Also, does anyone have any resources that they recommend for trying to get into the mindset of thinking functionally in particular in reference to algorithms? Thanks for reading.
Yes, this is true. And if you do, its often highly inefficient. For FP there are more specialised algorithms for equivalent problems available.
Often at least. Someone else has to do that, as I have a full schedule today. But the un -learning can feel like a slow and painful process - but all you can really do is chip away at it one day at a time. The important thing is to strive to understand more today than you did yesterday. As a general tip for problems like this, I would say start very very simple with the data representation.
Try to use lots of small functions e. Then later you can refine the representation and get fancier with maps or records. McCarthy J A basis for a mathematical theory of computation.
North-Holland, Amsterdam Google Scholar. Morgan C Programming from Specifications, 2nd edn. Bird 1 Email author 1.
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Bornat R Proving pointer programs in Hoare logic. Find File. A Look Inside About the Author. All rights reserved. I'm in a grad school-level algorithms class that just started using the former which is language agnostic, but we are doing our implementations in Java and it looks pretty good to me.
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