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instance Monad M where
m >>= k = ...
Also is there a name for functions which are used as this second argument to bind?
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I'd guess that k stands for something like "kontinue with the kontinuation k
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I have seen this a lot that someone is criticized for thinking imperatively regarding their algorithm/solution, even though they seem to be experienced with functional programming.
So I want to know what 'imperative thinking' means, and how one can avoid thinking imperatively?
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Given the list of lists duplicates = [[1,1,1],[2],[1,1,1]]
How to remove the duplicates so that the result is [[2]]?
Like this:
Data.MultiSet> [a | (a, 1) <- toOccurList (fromList [[1,1,1],[2],[1,1,1]])]
[[2]]
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Given a function
f :: Vector a => a -> b
we would call a a type (or type variable), and Vector a constraint. But what do we call the collection of all types that satisfy Vector a => a? I've been informally calling it "the set of Vector spaces" and I call any member type a "Vector space". Are there more accurate type-theoretic names I should be using? In particular, are the words "set" and "space" used correctly?
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The search algorithm I'm implementing (a simple partial order planner) just has a few choices to make at each invocation. Ideally I would like it to backtrack over the possibilities and return the first found solution.
Take a look at the list ([]) monad instance. It's commonly used for non-determinism.
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I notice in Haskell that a lot of modules start with the same names, like Control or Data or System. Is there any convention for this sort of thing? Or do you just go off current modules and what it sounds like?