I'm aware of prime decomposition and parallel approaches to calculating one factorial; however, if I want the factorials of all numbers up to $n$, is there anything more efficient than the naive approach? As far as I can tell, at least the prime decomposition algorithms aren't any more useful here than the naive approach. Karatsuba multiplication may be useful, but that's something that would have to be dealt with in the data structure that handles arbitrarily large integers, if I'm not mistaken.
Generating all factorials up to $n$: faster than naive approach?
complexity theory;enumeration;factorial
Just make a big table once and for all. The function grows so fast that you never really need to have random access to arbitrary values.Running [factorial(n) for n in range(101)] produces the following output after a few seconds. Do you really need anything more?[1, 1, 2, 6, 24, 120, 720, 5040, 40320, 362880, 3628800, 39916800, 479001600, 6227020800, 87178291200, 1307674368000, 20922789888000, 355687428096000, 6402373705728000, 121645100408832000, 2432902008176640000, 51090942171709440000, 1124000727777607680000, 25852016738884976640000, 620448401733239439360000, 15511210043330985984000000, 403291461126605635584000000, 10888869450418352160768000000, 304888344611713860501504000000, 8841761993739701954543616000000, 265252859812191058636308480000000, 8222838654177922817725562880000000, 263130836933693530167218012160000000, 8683317618811886495518194401280000000, 295232799039604140847618609643520000000, 10333147966386144929666651337523200000000, 371993326789901217467999448150835200000000, 13763753091226345046315979581580902400000000, 523022617466601111760007224100074291200000000, 20397882081197443358640281739902897356800000000, 815915283247897734345611269596115894272000000000, 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