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Memoise

21 Apr memoise: Memoisation of Functions. Cache the results of a function so that when you call it again with the same arguments it returns the pre-computed value. 21 Apr Package 'memoise'. April 21, Encoding UTF Title Memoisation of Functions. Version Description Cache the results of a function so that when you call it again with the same arguments it returns the pre-computed value. URL BugReports. memoise. Travis-CI Build Status Coverage Status CRAN_Status_Badge. Memoization. If a function is called multiple times with the same input, you can often speed things up by keeping a cache of known answers that it can retrieve. This is called memoisation Memoization.

mf memoise(f) creates mf, a memoised copy of f. A memoised copy is basically a lazier version of the same function: it saves the answers of new invocations, and re-uses the answers of old ones. Under the right circumstances, this can provide a very nice speedup indeed. Verb[edit]. memoise (third-person singular simple present memoises, present participle memoising, simple past and past participle memoised). Alternative spelling of memoize. memoise definition: Verb (third-person singular simple present memoises, present participle memoising, simple past and past participle memoised) 1. Alternative spelling of memoize.

In computing, memoization or memoisation is an optimization technique used primarily to speed up computer programs by storing the results of expensive function calls and returning the cached result when the same inputs occur again. Memoization has also been used in other contexts (and for purposes other than speed. 2 Feb We are pleased to announce version of the memoise package is now available on CRAN. Memoization stores the value of function call and returns the cached result when the function is called again with the same arguments. The following function computes Fibonacci numbers and illustrates the. 12 Apr Introduction The memoise package can be very handy for caching the results of slow calculations. In interactive work, the slowest calculations can be reading.

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