In computing, memoization is an optimization technique used primarily to speed up computer programs by having function calls avoid repeating the calculation of results for previously-processed inputs.
I have an expensive (time-consuming) external request to another web service I need to make, and I'd like to cache …
ruby-on-rails ruby caching idioms memoizationSo in Rails 3.2, ActiveSupport::Memoizable has been deprecated. The message reads: DEPRECATION WARNING: ActiveSupport::Memoizable is deprecated and will be …
ruby ruby-on-rails-3 activesupport memoizationI am trying to find a simple way to use something like Perl's hash functions in R (essentially caching), as …
r caching hash memoization memoiseI can't figure out why m1 is apparently memoized while m2 is not in the following: m1 = ((filter odd [1..]) !!) m2 …
haskell ghc memoizationEach time a function is called, if it's result for a given set of argument values is not yet memoized …
scala data-structures memoization scala-collectionsOk, here is the real world scenario: I'm writing an application, and I have a class that represents a certain …
python caching singleton unique memoizationI'm using @functools.lru_cache in Python 3.3. I would like to save the cache to a file, in order to …
python python-3.x memoizationBy what mechanism is this fibonacci-function memoized? fib = (map fib' [0..] !!) where fib' 1 = 1 fib' 2 = 1 fib' n = fib (n-2) + fib (n-1) And …
haskell lazy-evaluation fibonacci memoization pointfreeI'm trying to create a memoization interface for functions with arbitrary number of arguments, but I'm failing miserably I feel …
c# performance function memoizationI'm writing a function to find triangle numbers and the natural way to write it is recursively: function triangle (x) …
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