Given an array, for each element find the value of the nearest element to the right which is having a frequency greater than as that of the current element. If there does not exist an answer for a position, then make the value ‘-1’.

**Examples: **

Input:a[] = [1, 1, 2, 3, 4, 2, 1]Output :[-1, -1, 1, 2, 2, 1, -1]Explanation:Given array a[] = [1, 1, 2, 3, 4, 2, 1] Frequency of each element is: 3, 3, 2, 1, 1, 2, 3 Lets calls Next Greater Frequency element as NGF 1. For element a[0] = 1 which has a frequency = 3, As it has frequency of 3 and no other next element has frequency more than 3 so '-1' 2. For element a[1] = 1 it will be -1 same logic like a[0] 3. For element a[2] = 2 which has frequency = 2, NGF element is 1 at position = 6 with frequency of 3 > 2 4. For element a[3] = 3 which has frequency = 1, NGF element is 2 at position = 5 with frequency of 2 > 1 5. For element a[4] = 4 which has frequency = 1, NGF element is 2 at position = 5 with frequency of 2 > 1 6. For element a[5] = 2 which has frequency = 2, NGF element is 1 at position = 6 with frequency of 3 > 2 7. For element a[6] = 1 there is no element to its right, hence -1Input :a[] = [1, 1, 1, 2, 2, 2, 2, 11, 3, 3]Output :[2, 2, 2, -1, -1, -1, -1, 3, -1, -1]

**Naive approach:**

A simple hashing technique is to use values as the index is being used to store the frequency of each element. Create a list suppose to store the frequency of each number in the array. (Single traversal is required). Now use two loops.

The outer loop picks all the elements one by one.

The inner loop looks for the first element whose frequency is greater than the frequency of the current element.

If a greater frequency element is found then that element is printed, otherwise -1 is printed. **Time complexity:** O(n*n)

**Efficient approach**:

We can use hashing and stack data structure to efficiently solve for many cases. A simple hashing technique is to use values as index and frequency of each element as value. We use the stack data structure to store the position of elements in the array.

1) Create a list to use values as index to store frequency of each element.

2) Push the position of first element to stack.

3) Pick rest of the position of elements one by one and follow following steps in loop.

…….a)Mark the position of current element as ‘i’ .

…….b)If the frequency of the element which is pointed by the top of stack isgreaterthan frequency of the current element, push the current position i to the stack

…….c)If the frequency of the element which is pointed by the top of stack islessthan frequency of the current element and the stack is not empty then follow these steps:

…….continue popping the stacki)

…….if the condition in step c fails then push the current position i to the stackii)

4) After the loop in step 3 is over, pop all the elements from stack and print -1 as next greater frequency element for them does not exist.

Below is the implementation of the above problem.

## C++

`// C++ program of Next Greater Frequency Element` `#include <iostream>` `#include <stack>` `#include <stdio.h>` `using` `namespace` `std;` `/*NFG function to find the next greater frequency` `element for each element in the array*/` `void` `NFG(` `int` `a[], ` `int` `n, ` `int` `freq[])` `{` ` ` `// stack data structure to store the position` ` ` `// of array element` ` ` `stack<` `int` `> s;` ` ` `s.push(0);` ` ` `// res to store the value of next greater` ` ` `// frequency element for each element` ` ` `int` `res[n] = { 0 };` ` ` `for` `(` `int` `i = 1; i < n; i++)` ` ` `{` ` ` `/* If the frequency of the element which is` ` ` `pointed by the top of stack is greater` ` ` `than frequency of the current element` ` ` `then push the current position i in stack*/` ` ` `if` `(freq[a[s.top()]] > freq[a[i]])` ` ` `s.push(i);` ` ` `else` `{` ` ` `/*If the frequency of the element which` ` ` `is pointed by the top of stack is less` ` ` `than frequency of the current element, then` ` ` `pop the stack and continuing popping until` ` ` `the above condition is true while the stack` ` ` `is not empty*/` ` ` `while` `( !s.empty()` ` ` `&& freq[a[s.top()]] < freq[a[i]])` ` ` `{` ` ` `res[s.top()] = a[i];` ` ` `s.pop();` ` ` `}` ` ` `// now push the current element` ` ` `s.push(i);` ` ` `}` ` ` `}` ` ` `while` `(!s.empty()) {` ` ` `res[s.top()] = -1;` ` ` `s.pop();` ` ` `}` ` ` `for` `(` `int` `i = 0; i < n; i++)` ` ` `{` ` ` `// Print the res list containing next` ` ` `// greater frequency element` ` ` `cout << res[i] << ` `" "` `;` ` ` `}` `}` `// Driver code` `int` `main()` `{` ` ` `int` `a[] = { 1, 1, 2, 3, 4, 2, 1 };` ` ` `int` `len = 7;` ` ` `int` `max = INT16_MIN;` ` ` `for` `(` `int` `i = 0; i < len; i++)` ` ` `{` ` ` `// Getting the max element of the array` ` ` `if` `(a[i] > max) {` ` ` `max = a[i];` ` ` `}` ` ` `}` ` ` `int` `freq[max + 1] = { 0 };` ` ` `// Calculating frequency of each element` ` ` `for` `(` `int` `i = 0; i < len; i++)` ` ` `{` ` ` `freq[a[i]]++;` ` ` `}` ` ` `// Function call` ` ` `NFG(a, len, freq);` ` ` `return` `0;` `}` |

## Java

`// Java program of Next Greater Frequency Element` `import` `java.util.*;` `class` `GFG {` ` ` `/*NFG function to find the next greater frequency` ` ` `element for each element in the array*/` ` ` `static` `void` `NFG(` `int` `a[], ` `int` `n, ` `int` `freq[])` ` ` `{` ` ` `// stack data structure to store the position` ` ` `// of array element` ` ` `Stack<Integer> s = ` `new` `Stack<Integer>();` ` ` `s.push(` `0` `);` ` ` `// res to store the value of next greater` ` ` `// frequency element for each element` ` ` `int` `res[] = ` `new` `int` `[n];` ` ` `for` `(` `int` `i = ` `0` `; i < n; i++)` ` ` `res[i] = ` `0` `;` ` ` `for` `(` `int` `i = ` `1` `; i < n; i++)` ` ` `{` ` ` `/* If the frequency of the element which is` ` ` `pointed by the top of stack is greater` ` ` `than frequency of the current element` ` ` `then push the current position i in stack*/` ` ` `if` `(freq[a[s.peek()]] > freq[a[i]])` ` ` `s.push(i);` ` ` `else` ` ` `{` ` ` `/*If the frequency of the element which` ` ` `is pointed by the top of stack is less` ` ` `than frequency of the current element, then` ` ` `pop the stack and continuing popping until` ` ` `the above condition is true while the stack` ` ` `is not empty*/` ` ` `while` `(freq[a[s.peek()]] < freq[a[i]]` ` ` `&& s.size() > ` `0` `)` ` ` `{` ` ` `res[s.peek()] = a[i];` ` ` `s.pop();` ` ` `}` ` ` `// now push the current element` ` ` `s.push(i);` ` ` `}` ` ` `}` ` ` `while` `(s.size() > ` `0` `)` ` ` `{` ` ` `res[s.peek()] = -` `1` `;` ` ` `s.pop();` ` ` `}` ` ` `for` `(` `int` `i = ` `0` `; i < n; i++)` ` ` `{` ` ` `// Print the res list containing next` ` ` `// greater frequency element` ` ` `System.out.print(res[i] + ` `" "` `);` ` ` `}` ` ` `}` ` ` `// Driver code` ` ` `public` `static` `void` `main(String args[])` ` ` `{` ` ` `int` `a[] = { ` `1` `, ` `1` `, ` `2` `, ` `3` `, ` `4` `, ` `2` `, ` `1` `};` ` ` `int` `len = ` `7` `;` ` ` `int` `max = Integer.MIN_VALUE;` ` ` `for` `(` `int` `i = ` `0` `; i < len; i++)` ` ` `{` ` ` `// Getting the max element of the array` ` ` `if` `(a[i] > max)` ` ` `{` ` ` `max = a[i];` ` ` `}` ` ` `}` ` ` `int` `freq[] = ` `new` `int` `[max + ` `1` `];` ` ` `for` `(` `int` `i = ` `0` `; i < max + ` `1` `; i++)` ` ` `freq[i] = ` `0` `;` ` ` `// Calculating frequency of each element` ` ` `for` `(` `int` `i = ` `0` `; i < len; i++)` ` ` `{` ` ` `freq[a[i]]++;` ` ` `}` ` ` `// Function call` ` ` `NFG(a, len, freq);` ` ` `}` `}` `// This code is contributed by Arnab Kundu` |

## Python3

`'''NFG function to find the next greater frequency` ` ` `element for each element in the array'''` `def` `NFG(a, n):` ` ` `if` `(n <` `=` `0` `):` ` ` `print` `(` `"List empty"` `)` ` ` `return` `[]` ` ` `# stack data structure to store the position` ` ` `# of array element` ` ` `stack ` `=` `[` `0` `]` `*` `n` ` ` `# freq is a dictionary which maintains the` ` ` `# frequency of each element` ` ` `freq ` `=` `{}` ` ` `for` `i ` `in` `a:` ` ` `freq[a[i]] ` `=` `0` ` ` `for` `i ` `in` `a:` ` ` `freq[a[i]] ` `+` `=` `1` ` ` `# res to store the value of next greater` ` ` `# frequency element for each element` ` ` `res ` `=` `[` `0` `]` `*` `n` ` ` `# initialize top of stack to -1` ` ` `top ` `=` `-` `1` ` ` `# push the first position of array in the stack` ` ` `top ` `+` `=` `1` ` ` `stack[top] ` `=` `0` ` ` `# now iterate for the rest of elements` ` ` `for` `i ` `in` `range` `(` `1` `, n):` ` ` `''' If the frequency of the element which is` ` ` `pointed by the top of stack is greater` ` ` `than frequency of the current element` ` ` `then push the current position i in stack'''` ` ` `if` `(freq[a[stack[top]]] > freq[a[i]]):` ` ` `top ` `+` `=` `1` ` ` `stack[top] ` `=` `i` ` ` `else` `:` ` ` `''' If the frequency of the element which` ` ` `is pointed by the top of stack is less` ` ` `than frequency of the current element, then` ` ` `pop the stack and continuing popping until` ` ` `the above condition is true while the stack` ` ` `is not empty'''` ` ` `while` `(top > ` `-` `1` `and` `freq[a[stack[top]]] < freq[a[i]]):` ` ` `res[stack[top]] ` `=` `a[i]` ` ` `top ` `-` `=` `1` ` ` `# now push the current element` ` ` `top ` `+` `=` `1` ` ` `stack[top] ` `=` `i` ` ` `'''After iterating over the loop, the remaining` ` ` `position of elements in stack do not have the` ` ` `next greater element, so print -1 for them'''` ` ` `while` `(top > ` `-` `1` `):` ` ` `res[stack[top]] ` `=` `-` `1` ` ` `top ` `-` `=` `1` ` ` `# return the res list containing next` ` ` `# greater frequency element` ` ` `return` `res` `# Driver Code` `print` `(NFG([` `1` `, ` `1` `, ` `2` `, ` `3` `, ` `4` `, ` `2` `, ` `1` `], ` `7` `))` |

## C#

`// C# program of Next Greater Frequency Element` `using` `System;` `using` `System.Collections;` `class` `GFG {` ` ` `/*NFG function to find the` ` ` `next greater frequency` ` ` `element for each element` ` ` `in the array*/` ` ` `static` `void` `NFG(` `int` `[] a, ` `int` `n, ` `int` `[] freq)` ` ` `{` ` ` `// stack data structure to store` ` ` `// the position of array element` ` ` `Stack s = ` `new` `Stack();` ` ` `s.Push(0);` ` ` `// res to store the value of next greater` ` ` `// frequency element for each element` ` ` `int` `[] res = ` `new` `int` `[n];` ` ` `for` `(` `int` `i = 0; i < n; i++)` ` ` `res[i] = 0;` ` ` `for` `(` `int` `i = 1; i < n; i++)` ` ` `{` ` ` `/* If the frequency of the element which is` ` ` `pointed by the top of stack is greater` ` ` `than frequency of the current element` ` ` `then Push the current position i in stack*/` ` ` `if` `(freq[a[(` `int` `)s.Peek()]] > freq[a[i]])` ` ` `s.Push(i);` ` ` `else` ` ` `{` ` ` `/*If the frequency of the element which` ` ` `is pointed by the top of stack is less` ` ` `than frequency of the current element, then` ` ` `Pop the stack and continuing Popping until` ` ` `the above condition is true while the stack` ` ` `is not empty*/` ` ` `while` `(freq[a[(` `int` `)(` `int` `)s.Peek()]]` ` ` `< freq[a[i]]` ` ` `&& s.Count > 0)` ` ` `{` ` ` `res[(` `int` `)s.Peek()] = a[i];` ` ` `s.Pop();` ` ` `}` ` ` `// now Push the current element` ` ` `s.Push(i);` ` ` `}` ` ` `}` ` ` `while` `(s.Count > 0)` ` ` `{` ` ` `res[(` `int` `)s.Peek()] = -1;` ` ` `s.Pop();` ` ` `}` ` ` `for` `(` `int` `i = 0; i < n; i++)` ` ` `{` ` ` `// Print the res list containing next` ` ` `// greater frequency element` ` ` `Console.Write(res[i] + ` `" "` `);` ` ` `}` ` ` `}` ` ` `// Driver code` ` ` `public` `static` `void` `Main(String[] args)` ` ` `{` ` ` `int` `[] a = { 1, 1, 2, 3, 4, 2, 1 };` ` ` `int` `len = 7;` ` ` `int` `max = ` `int` `.MinValue;` ` ` `for` `(` `int` `i = 0; i < len; i++)` ` ` `{` ` ` `// Getting the max element of the array` ` ` `if` `(a[i] > max)` ` ` `{` ` ` `max = a[i];` ` ` `}` ` ` `}` ` ` `int` `[] freq = ` `new` `int` `[max + 1];` ` ` `for` `(` `int` `i = 0; i < max + 1; i++)` ` ` `freq[i] = 0;` ` ` `// Calculating frequency of each element` ` ` `for` `(` `int` `i = 0; i < len; i++)` ` ` `{` ` ` `freq[a[i]]++;` ` ` `}` ` ` `NFG(a, len, freq);` ` ` `}` `}` `// This code is contributed by Arnab Kundu` |

## Javascript

`<script>` ` ` `// Javascript program of Next Greater Frequency Element` ` ` ` ` `/*NFG function to find the` ` ` `next greater frequency` ` ` `element for each element` ` ` `in the array*/` ` ` `function` `NFG(a, n, freq)` ` ` `{` ` ` ` ` `// stack data structure to store` ` ` `// the position of array element` ` ` `let s = [];` ` ` `s.push(0);` ` ` ` ` `// res to store the value of next greater` ` ` `// frequency element for each element` ` ` `let res = ` `new` `Array(n);` ` ` `for` `(let i = 0; i < n; i++)` ` ` `res[i] = 0;` ` ` ` ` `for` `(let i = 1; i < n; i++)` ` ` `{` ` ` ` ` `/* If the frequency of the element which is` ` ` `pointed by the top of stack is greater` ` ` `than frequency of the current element` ` ` `then Push the current position i in stack*/` ` ` ` ` `if` `(freq[a[s[s.length - 1]]] > freq[a[i]])` ` ` `s.push(i);` ` ` `else` ` ` `{` ` ` ` ` `/*If the frequency of the element which` ` ` `is pointed by the top of stack is less` ` ` `than frequency of the current element, then` ` ` `Pop the stack and continuing Popping until` ` ` `the above condition is true while the stack` ` ` `is not empty*/` ` ` ` ` `while` `(freq[a[s[s.length - 1]]]` ` ` `< freq[a[i]]` ` ` `&& s.length > 0)` ` ` `{` ` ` `res[s[s.length - 1]] = a[i];` ` ` `s.pop();` ` ` `}` ` ` ` ` `// now Push the current element` ` ` `s.push(i);` ` ` `}` ` ` `}` ` ` ` ` `while` `(s.length > 0)` ` ` `{` ` ` `res[s[s.length - 1]] = -1;` ` ` `s.pop();` ` ` `}` ` ` `document.write(` `"["` `);` ` ` `for` `(let i = 0; i < n - 1; i++)` ` ` `{` ` ` ` ` `// Print the res list containing next` ` ` `// greater frequency element` ` ` `document.write(res[i] + ` `", "` `);` ` ` `}` ` ` `document.write(res[n - 1] + ` `"]"` `);` ` ` `}` ` ` ` ` `let a = [ 1, 1, 2, 3, 4, 2, 1 ];` ` ` `let len = 7;` ` ` `let max = Number.MIN_VALUE;` ` ` `for` `(let i = 0; i < len; i++)` ` ` `{` ` ` ` ` `// Getting the max element of the array` ` ` `if` `(a[i] > max)` ` ` `{` ` ` `max = a[i];` ` ` `}` ` ` `}` ` ` `let freq = ` `new` `Array(max + 1);` ` ` `for` `(let i = 0; i < max + 1; i++)` ` ` `freq[i] = 0;` ` ` `// Calculating frequency of each element` ` ` `for` `(let i = 0; i < len; i++)` ` ` `{` ` ` `freq[a[i]]++;` ` ` `}` ` ` `NFG(a, len, freq);` ` ` ` ` `// This code is contributed by vaibhavrabadiya117.` `</script>` |

**Output:**

[-1, -1, 1, 2, 2, 1, -1]

**Time complexity:** O(n).

** Space Efficient Approach: **using a hash map instead of a list as mentioned in the above approach.

**Steps:**

- Create a class pair to store pair<int, int> with pair<element, frequency>.
- Create a hasp map with pair as generics to store keys as the element and values as the frequency of every element.
- Iterate the array and save the element and its frequency in the hashmap.
- Create a res array that stores the resultant array.
- Initially make res[n-1] = -1 and push the element in the end along with its frequency into the stack.
- Iterate through the array in reverse order.
- If the frequency of the element which is pointed at the top of the stack is less than the frequency of the current element and the stack is not empty then pop.
- Continue till the loop fails.
- If the stack is empty, it means that there is no element with a higher frequency. So, place -1 as the next higher frequency element in the resultant array.
- If the stack is not empty, it means that the top of the stack has a higher frequency element. Put it in the resultant array as the next higher frequency.
- Push the current element along with its frequency.

## Java

`// Java program of Next Greater Frequency Element` `import` `java.util.*;` `class` `GFG {` ` ` `Stack<Pair> mystack = ` `new` `Stack<>();` ` ` `HashMap<Integer,Integer> mymap = ` `new` `HashMap<>();` ` ` ` ` `class` `Pair{` ` ` `int` `data;` ` ` `int` `freq;` ` ` `Pair(` `int` `data,` `int` `freq){` ` ` `this` `.data = data;` ` ` `this` `.freq = freq;` ` ` `}` ` ` `}` ` ` ` ` `/*NFG function to find the next greater frequency` ` ` `element for each element and for placing it in the` ` ` `resultant array */` ` ` `void` `NGF(` `int` `[] arr,` `int` `[] res) {` ` ` `int` `n = arr.length;` ` ` ` ` `//Initially store the frequencies of all elements` ` ` `//in a hashmap` ` ` `for` `(` `int` `i = ` `0` `;i<n;i++) {` ` ` `if` `(mymap.containsKey(arr[i]))` ` ` `mymap.put(arr[i], mymap.get(arr[i]) + ` `1` `);` ` ` `else` ` ` `mymap.put(arr[i], ` `1` `);` ` ` `}` ` ` ` ` `//Get the frequency of the last element` ` ` `int` `curr_freq = mymap.get(arr[n-` `1` `]);` ` ` `//push it to the stack` ` ` `mystack.push(` `new` `Pair(arr[n-` `1` `],curr_freq));` ` ` `//place -1 as next greater freq for the last` ` ` `//element as it does not have next greater.` ` ` `res[n-` `1` `] = -` `1` `;` ` ` ` ` `//iterate through array in reverse order` ` ` `for` `(` `int` `i = n-` `2` `;i>=` `0` `;i--) {` ` ` `curr_freq = mymap.get(arr[i]);` ` ` ` ` `/* If the frequency of the element which is` ` ` `pointed by the top of stack is greater` ` ` `than frequency of the current element` ` ` `then push the current position i in stack*/` ` ` `while` `(!mystack.isEmpty() && curr_freq >= mystack.peek().freq)` ` ` `mystack.pop();` ` ` ` ` `//If the stack is empty, place -1. If it is not empty` ` ` `//then we will have next higher freq element at the top of the stack.` ` ` `res[i] = (mystack.isEmpty()) ? -` `1` `: mystack.peek().data;` ` ` ` ` `//push the element at current position` ` ` `mystack.push(` `new` `Pair(arr[i],mymap.get(arr[i])));` ` ` `}` ` ` `}` ` ` ` ` `//Driver function` ` ` `public` `static` `void` `main(String args[]) {` ` ` `GFG obj = ` `new` `GFG();` ` ` `int` `[] arr = {` `1` `, ` `1` `, ` `1` `, ` `2` `, ` `2` `, ` `2` `, ` `2` `, ` `11` `, ` `3` `, ` `3` `};` ` ` ` ` `int` `res[] = ` `new` `int` `[arr.length];` ` ` `obj.NGF(arr, res);` ` ` `System.out.println(Arrays.toString(res));` ` ` `}` `}` `//This method is contributed by Likhita AVL` |

**Output**

[2, 2, 2, -1, -1, -1, -1, 3, -1, -1]

**Time Complexity: **O(n).

This article is contributed by **Sruti Rai** . Thank you Koustav for your valuable support. If you like GeeksforGeeks and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

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