The set [1,2,3,…,n] contains a total of n! unique permutations.
By listing and labeling all of the permutations in order, We get the following sequence (ie, for n = 3 ) :
For example, given n = 3, k = 4, ans = "231".
There are multiple solutions out there. But all of them uses either factorial or there complexity is larger than O(n) such as O(n!). If you use factorial and find the number at the position by k/(n-1)!, the problem comes when n is large(n = 100). Here as n is large, (n-1)! overflows and becomes 0. In result, I am getting a divide by zero error...any solution or algorithm for that?
Here is my code:
public class KthPermutation { public String getPermutation(int n, int k) { // initialize all numbers ArrayList<Integer> numberList = new ArrayList<Integer>(); for (int i = 1; i <= n; i++) { numberList.add(i); } int fact = 1; // set factorial of n-1 for (int i = 1; i <= n-1; i++) { fact = fact * i; } if ((long) k > (long) fact * n) { k = (int) ((long) k - (long) (fact * n)); } k--; // set k to base 0 StringBuilder result = new StringBuilder(); result = getP(result, numberList, n, k, fact); return result.toString(); } public static StringBuilder getP(StringBuilder result, ArrayList<Integer> numberList, int n, int k, int fact) { if (numberList.size() == 1 || n == 1) { result.append(numberList.get(0)); return result; // return condition } int number = (k / fact) + 1 ; result.append(numberList.get(number - 1)); numberList.remove(number - 1); k = k % fact; // update k fact = fact / (n - 1); n--; return getP(result, numberList, n, k, fact); } }
The first position of an n length sequence is occupied by each of the numbers from 1 to n exactly n! / n that is (n-1)! number of times and in ascending order. So the first position of the kth sequence will be occupied by the number present at index = k / (n-1)!
In mathematics, a permutation of a set is, loosely speaking, an arrangement of its members into a sequence or linear order, or if the set is already ordered, a rearrangement of its elements. The word "permutation" also refers to the act or process of changing the linear order of an ordered set.
The Permutation Coefficient represented by P(n, k) is used to represent the number of ways to obtain an ordered subset having k elements from a set of n elements.
Problem statement — Permutation is called stable if P[i]=i for every i. We are given Permutation we want to tell in how many moves we can make this permutation stable or print -1 if not possible to make permutation stable.
So if I'm reading the question correctly, you want to find the kth permutation, preferrably without using BigIntegers, provided k is not large enough to require a BigInteger.
If we look at the sequence
1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1
We can rewrite it so that the number in each position is an index into a list of the numbers that haven't appeared so far on the line:
0 0 0 0 1 0 1 0 0 1 1 0 2 0 0 2 1 0
So for example "2, 0, 0" means start with the list "1, 2, 3", then take the third (because we are indexing from zero), which is a 3, then take the first of the remaining digits "1, 2" which is a 1, then the first of the remaining digit, which is "2". So it produces "3, 1, 2".
To generate these indices, go from right to left and divide k by 1! for the rightmost two places, then 2! then 3! then 4! etc, and then modulo the result with the number of possible indices in that position, which is 1 for the rightmost, 2 for the second-rightmost etc. You don't have to calculate the factorial each time because you can keep a running product.
You can break out of the loop as soon as k divided by the factorial is zero, so you only have to compute factorials up until roughly the size of k multiplied by the last place in which k divided by the factorial is non-zero. If k is too large, you need to switch to BigIntegers.
Once you have the indices it's pretty straightforward to use them to generate the permutation.
Code (k starts from 0, so to find the first pass 0, not 1):
static public void findPermutation(int n, int k) { int[] numbers = new int[n]; int[] indices = new int[n]; // initialise the numbers 1, 2, 3... for (int i = 0; i < n; i++) numbers[i] = i + 1; int divisor = 1; for (int place = 1; place <= n; place++) { if((k / divisor) == 0) break; // all the remaining indices will be zero // compute the index at that place: indices[n-place] = (k / divisor) % place; divisor *= place; } // print out the indices: // System.out.println(Arrays.toString(indices)); // permute the numbers array according to the indices: for (int i = 0; i < n; i++) { int index = indices[i] + i; // take the element at index and place it at i, moving the rest up if(index != i) { int temp = numbers[index]; for(int j = index; j > i; j--) numbers[j] = numbers[j-1]; numbers[i] = temp; } } // print out the permutation: System.out.println(Arrays.toString(numbers)); }
Demo
output:
[1, 2, 3] [1, 3, 2] [2, 1, 3] [2, 3, 1] [3, 1, 2] [3, 2, 1]
10000000th permutation for n = 100:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 98, 96, 90, 91, 100, 94, 97, 95, 99, 93]
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