# Iterative program to generate distinct Permutations of a String

Given a string **str**, the task is to generate all the distinct permutations of the given string iteratively.

**Examples:**

Input:str = “bba”

Output:

abb

bab

bba

Input:str = “abc”

Output:

abc

acb

bac

bca

cab

cba

**Approach:** The number of permutations for a string of length n are n!. The following algorithm can be extended to arrays of arbitrary objects too. Here only the case of generating permutations of strings are covered.

The algorithm generates them in an iterative fashion and is as follows:

We will go through the steps using the example input string “abca”.

The first step of the algorithm maps each letter to a number and stores the number of occurrences of each letter. For that, the string is first sorted.

Modified input string: “aabc”

Now the letters would be mapped as follows:

(first: mapped Number, second: Count) a : 0, 2 b : 1, 1 c : 2, 0

The base of the number system we use would be 3 (equal to the number of distinct characters in the input string)

Now an array would hold the mapped values of each letter. The basic idea is to increment the array as a combined number in the number system with base equal to the number of distinct characters.

So initially the array would be [0, 0, 1, 2]

We add 1 to this and the new array is [0, 0, 2, 0] (Number system is 3: we simply added 0012 and 1 in base 3 system)

We check the number of occurrences of each number in the array and check it with the occurrences of each letter in the original reference array. In this case [0, 0, 2, 0] is an invalid sequence as count(0) > number of zeros (or ‘a’, the character mapped to 0) in the original string

We repeat the process until our array equals [2, 1, 0, 0], i.e. the largest valid number that can be generated and therefore exhausting all permutations.

This approach runs with a complexity of **O(n ^{(n + 1)})**.

**Optimizing the algorithm**

The basic premise still remains the same. Now, however, the algorithm tries to avoid many irrelevant and useless states or permutations.

The function generatePermutation(string) prepares the reference table (ref vector in code) which stores the mapped character for each index and its occurrences. It also prepares the word of mapped integers. (array of integers to permute).

The function calls the function getNext(args…) which alters the array to the next permutation. When there is overflow (all permutations generated) then the function returns END. Else it returns VALID.

To get the next state therefore, we first increment the array by 1 as done in the previous approach. We keep track of the range of indices that were changed due to the addition.

**Example:**

Incrementing [0, 2, 2, 2] gives [1, 0, 0, 0] with the range of changed indices {1, 2, 3} or [1, 3]. After that, we start from the leftmost index and check if it is a valid number.

The number is valid if the substring before left i.e. [0, left) has instances of the value a[left] strictly lesser than n, where n is the number of occurrences of a[left] in the original array.

- Check Validity for left.
- If there is no conflict, increment left go to step 1. Break if left == last index of array.
- Else increment a[left], if a[left] < base (number of distinct elements), go to step 1.
- Else add 1 to the subarray [0, left] and get the new left index which starts the range of changed parts. Go to step 1.

The function returns VALID if the permutation generated is valid, END if overflow occurs.

The validity checking is done by helper function hasConflict(args…) which simply checks the subarray [0, left) for occurrences of a[left].

If the number of occurrences is strictly less than the occurrences of a[left] in the original array then it returns true else false.

By checking and adding to indices to the left first, we skip many states that would otherwise have crept up in the algorithm.

The algorithm goes through a maximum of O(n) states for each state.

Therefore, **Time complexity:** O(n * n!)

**Space complexity:** O(n)

Below is the implementation of the above approach:

`// C++ implementation of the approach ` `#include <bits/stdc++.h> ` `using` `namespace` `std; ` ` ` `// No more permutations can be generated ` `#define END -1 ` ` ` `// Permutation is valid ` `#define VALID 1 ` ` ` `// Utility function to print the ` `// generated permutation ` `void` `printString(vector<` `int` `>& word, ` ` ` `vector<pair<` `char` `, ` `int` `> >& ref) ` `{ ` ` ` ` ` `for` `(` `int` `i = 0; i < word.size(); i++) { ` ` ` `cout << ref[word[i]].first; ` ` ` `} ` ` ` `cout << ` `"\n"` `; ` `} ` ` ` `// Function that checks for any conflict present ` `// in the word/string for the index ` `bool` `hasConflict(vector<` `int` `>& word, ` ` ` `vector<pair<` `char` `, ` `int` `> >& ref, ` `int` `index) ` `{ ` ` ` ` ` `// Check number of instances where value of ` ` ` `// the character is equal to the ` ` ` `// value at checking index ` ` ` `int` `conflictCount = 0; ` ` ` `for` `(` `int` `i = 0; i < index; i++) { ` ` ` `if` `(word[i] == word[index]) ` ` ` `conflictCount++; ` ` ` `} ` ` ` ` ` `// If the number of instances are greater ` ` ` `// than the number of occurrences of the ` ` ` `// character then conflict is present ` ` ` `if` `(conflictCount < ref[word[index]].second) { ` ` ` `return` `false` `; ` ` ` `} ` ` ` ` ` `return` `true` `; ` `} ` ` ` `// Function that returns the validity of the ` `// next permutation generated and makes ` `// changes to the word array ` `int` `getNext(vector<` `int` `>& word, ` ` ` `vector<pair<` `char` `, ` `int` `> >& ref, ` `int` `mod) ` `{ ` ` ` ` ` `int` `left, right, carry; ` ` ` ` ` `right = word.size() - 1; ` ` ` ` ` `carry = 1; ` ` ` ` ` `// Simply add 1 to the array word following ` ` ` `// the number system with base mod ` ` ` `// generates a new permutation ` ` ` `for` `(left = right; left >= 0; left--) { ` ` ` `if` `(left == 0 && word[left] + carry >= mod) { ` ` ` `return` `END; ` `// overflown ` ` ` `} ` ` ` ` ` `if` `(word[left] + carry >= mod) { ` ` ` `word[left] = (word[left] + carry) % mod; ` ` ` `} ` ` ` `else` `{ ` ` ` `word[left] = word[left] + carry; ` ` ` `break` `; ` ` ` `} ` ` ` `} ` ` ` ` ` `// All the values between left and right (inclusive) ` ` ` `// were changed and therefore need to be ` ` ` `// adjusted to get a valid permutation ` ` ` `while` `(left <= right) { ` ` ` `while` `(hasConflict(word, ref, left) && word[left] < mod) { ` ` ` ` ` `// Increment till conflict between substring [0, i) ` ` ` `// is resolved or word[left] goes above mod ` ` ` `word[left]++; ` ` ` `} ` ` ` `if` `(word[left] >= mod) { ` ` ` ` ` `// The value for left has crossed mod therefore ` ` ` `// all the values for word with [0, left) ` ` ` `// constant have been convered therefore add 1 ` ` ` `// to the substring [0, left) to get a new value ` ` ` `// of left which represents all affected parts. ` ` ` `// Repeat the process of conflict resolvation ` ` ` `// and validity checking from this new left ` ` ` `word[left] %= mod; ` ` ` `int` `carry = 1; ` ` ` `left--; ` ` ` `while` `(left >= 0) { ` ` ` `if` `(left == 0 && word[left] + carry >= mod) { ` ` ` ` ` `// Overflow ` ` ` `return` `END; ` ` ` `} ` ` ` ` ` `if` `(word[left] + carry >= mod) { ` ` ` `word[left] = (word[left] + carry) % mod; ` ` ` `left--; ` ` ` `} ` ` ` `else` `{ ` ` ` `word[left] = (word[left] + carry); ` ` ` `break` `; ` ` ` `} ` ` ` `} ` ` ` `} ` ` ` `else` `{ ` ` ` ` ` `// Increment left if conflict is resolved ` ` ` `// for current index and do conflict ` ` ` `// resolution for the next index ` ` ` `left++; ` ` ` `} ` ` ` `} ` ` ` ` ` `return` `VALID; ` `} ` ` ` `// Iterative function to generate all the ` `// distinct permutations of str ` `void` `generatePermutations(string str) ` `{ ` ` ` `if` `(str.size() == 0) ` ` ` `return` `; ` ` ` ` ` `// First sort the string to assign mapped values ` ` ` `// and occurrences to each letter ` ` ` `// Sorting needs to handle letters ` ` ` `// with multiple occurrences ` ` ` `sort(str.begin(), str.end()); ` ` ` ` ` `// Reference vector to store the mapping of ` ` ` `// its index to its corresponding char ` ` ` `// and the number of occurrences of the character ` ` ` `// as the second element of the pair ` ` ` `vector<pair<` `char` `, ` `int` `> > ref(str.size()); ` ` ` ` ` `// Assign each character its index and the ` ` ` `// number of occurrences ` ` ` `int` `count = 0; ` ` ` `ref[count] = make_pair(str[0], 1); ` ` ` ` ` `for` `(` `int` `i = 1; i < str.size(); i++) { ` ` ` ` ` `// Increment occurrences if character is repeated ` ` ` `// Else create new mapping for the next character ` ` ` `if` `(str[i] == str[i - 1]) { ` ` ` `ref[count].second++; ` ` ` `} ` ` ` `else` `{ ` ` ` `count++; ` ` ` `ref[count] = make_pair(str[i], 1); ` ` ` `} ` ` ` `} ` ` ` ` ` `// Size may differ in case of multiple ` ` ` `// occurrences of characters ` ` ` `ref.resize(count + 1); ` ` ` ` ` `// Construct the word ` ` ` `// Word stores the mapped values for every letter ` ` ` `// in a permuted sequence i.e. say for "abc" ` ` ` `// word would be initially [0, 1, 2] or "aba", [0, 1, 0] ` ` ` `vector<` `int` `> word; ` ` ` `for` `(` `int` `i = 0; i < ref.size(); i++) { ` ` ` `for` `(` `int` `j = 0; j < ref[i].second; j++) ` ` ` `word.push_back(i); ` ` ` `} ` ` ` ` ` `// mod is the number of distinct letters in string ` ` ` `int` `mod = ref.size(); ` ` ` `int` `flag = VALID; ` ` ` ` ` `while` `(flag != END) { ` ` ` ` ` `// If the permutation sent by getNext ` ` ` `// is valid then print it ` ` ` `printString(word, ref); ` ` ` ` ` `// Get the next permutation, validity ` ` ` `// stored in flag ` ` ` `flag = getNext(word, ref, mod); ` ` ` `} ` `} ` ` ` `// Driver code ` `int` `main() ` `{ ` ` ` `string str = ` `"abc"` `; ` ` ` ` ` `generatePermutations(str); ` ` ` ` ` `return` `0; ` `} ` |

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*filter_none*

**Output:**

abc acb bac bca cab cba

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