factorial

maximum recursion depth exceeded in comparison

假如想象 提交于 2019-11-30 18:14:21
问题 I wrote this piece of code to compute the number of combinations: def fact(n): return 1 if(n == 1) else n * fact(n - 1) def combinations(n,k): return fact(n)/((fact(n - k) * fact(k))) while(True): print(combinations(int(input()), int(input()))) The factorial function seems to work fine. But why does it give me a maximum recursion depth exceeded in comparison error when I try to find the combinations of two numbers? Is there something wrong with the factorial function, since that's where the

Print out all permutations of an Array [duplicate]

戏子无情 提交于 2019-11-30 12:15:23
问题 This question already has answers here : Permutation of array (11 answers) Closed 4 years ago . I am working on a program, and I have a function that swaps the positions in an Array of length that is input by a user. However, I am trying to figure out how to print out this function call N! times, which would list all the permutations in the function. My code for the permutation function is: static void nextPerm(int[] A){ for( int i = (n-1); i > 0; i-- ){ if( A[i] < A[i+1] ){ A[i] = pivot;

How can I calculate a factorial in C# using a library call?

我只是一个虾纸丫 提交于 2019-11-30 05:17:27
问题 I need to calculate the factorial of numbers up to around 100! in order to determine if a series of coin flip-style data is random, as per this Wikipedia entry on Bayesian probability. As you can see there, the necessary formula involves 3 factorial calculations (but, interestingly, two of those factorial calculations are calculated along the way to the third). I saw this question here, but I'd think that integer is going to get blown out pretty quickly. I could also make a function that is

Complexity of factorial recursive algorithm

不问归期 提交于 2019-11-30 03:17:58
Today in class my teacher wrote on the blackboard this recursive factorial algorithm: int factorial(int n) { if (n == 1) return 1; else return n * factorial(n-1); } She said that it has a cost of T(n-1) + 1 . Then with iteration method she said that T(n-1) = T(n-2) + 2 = T(n-3) + 3 ... T(n-j) + j , so the algorithm stops when n - j = 1 , so j = n - 1 . After that, she substituted j in T(n-j) + j , and obtained T(1) + n-1 . She directly said that for that n-1 = 2 (log 2 n-1) , so the cost of the algorithm is exponential. I really lost the last two steps. Can someone please explain them to me?

Complexity of recursive factorial program

纵然是瞬间 提交于 2019-11-29 21:32:41
What's the complexity of a recursive program to find factorial of a number n ? My hunch is that it might be O(n) . Alex Martelli If you take multiplication as O(1) , then yes, O(N) is correct. However, note that multiplying two numbers of arbitrary length x is not O(1) on finite hardware -- as x tends to infinity, the time needed for multiplication grows (e.g. if you use Karatsuba multiplication , it's O(x ** 1.585) ). You can theoretically do better for sufficiently huge numbers with Schönhage-Strassen , but I confess I have no real world experience with that one. x , the "length" or "number

Factorial does not work for all values

試著忘記壹切 提交于 2019-11-29 17:46:15
Hi everyone I edited my post because I have another problem with my code.I had a problem with the factorial function yesterday but I managed to solve it thanks to your answers , it was a ridiculous mistake. The problem now is that for some values that are higher than 15, the final results(not the factorials of individual numbers) are always 0 or -1 for the lesser values it works fine.Can someone tell me whats wrong with this code : #include <iostream> #include<time.h> using namespace std; int factorial(int a){ if(a==1) return 1; else if(a==0) return 1; else return factorial(a-1)*a; } int main(

Inverse factorial in Prolog

谁说胖子不能爱 提交于 2019-11-29 13:14:31
Can someone helping me to find a way to get the inverse factorial in Prolog... For example inverse_factorial(6,X) ===> X = 3 . I have been working on it a lot of time. I currently have the factorial, but i have to make it reversible. Please help me. Prolog's predicates are relations, so once you have defined factorial, you have implicitly defined the inverse too. However, regular arithmetics is moded in Prolog, that is, the entire expression in (is)/2 or (>)/2 has to be known at runtime, and if it is not, an error occurs. Constraints overcome this shortcoming: :- use_module( library(clpfd) ).

Howto compute the factorial of x

柔情痞子 提交于 2019-11-29 12:39:31
how to get the value of an integer x , indicated by x! , it is the product of the numbers 1 to x. Example: 5! 1x2x3x4x5 = 120. int a , b = 1, c = 1, d = 1; printf("geheel getal x = "); scanf("%d", &a); printf("%d! = ", a); for(b = 1; b <= a; b++) { printf("%d x ", c); c++; d = d*a; } printf(" = %d", d); how to get the som of an integer x, indicated by x!, is the product of the numbers 1 to x. Did you mean factorial of x ? Change d = d*a; to d = d*b inside the loop You can simply do: for(b = 1; b <= a; b++) { d *= b; } // d now has a! This is the optimal implementation in size and speed: int

Factorial of a large number in python

╄→尐↘猪︶ㄣ 提交于 2019-11-29 09:18:26
问题 Here's my approach to factorials: def factorial(n): '''Returns factorial of n''' r = 1 for i in range(1, n + 1): r *= i return r I think it's pretty straightforward, though I guess you could make something more efficient, because it takes ages for large numbers like 100000. My question is, is there? math.factorial() is no good either, it takes roughly the same amount of time. 回答1: Multiplying the numbers in sequence, for i in range(1, n + 1): r *= i return r creates a large number (as in tens

How would you write a non-recursive algorithm to calculate factorials?

孤街醉人 提交于 2019-11-29 05:39:56
How would you write a non-recursive algorithm to compute n! ? Since an Int32 is going to overflow on anything bigger than 12! anyway, just do: public int factorial(int n) { int[] fact = {1, 1, 2, 6, 24, 120, 720, 5040, 40320, 362880, 3628800, 39916800, 479001600}; return fact[n]; } in pseudocode ans = 1 for i = n down to 2 ans = ans * i next In the interests of science I ran some profiling on various implementations of algorithms to compute factorials. I created iterative, look up table, and recursive implementations of each in C# and C++. I limited the maximum input value to 12 or less, since