Next Permutation of Array in DSA Java - Time & Space Complexity

Time Complexity: Next Permutation of Array

O(n)

Understanding Time Complexity

We want to know how the time needed to find the next permutation changes as the array size grows.

How does the number of steps grow when the array gets bigger?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

public void nextPermutation(int[] nums) {
    int i = nums.length - 2;
    while (i >= 0 && nums[i] >= nums[i + 1]) {
        i--;
    }
    if (i >= 0) {
        int j = nums.length - 1;
        while (nums[j] <= nums[i]) {
            j--;
        }
        swap(nums, i, j);
    }
    reverse(nums, i + 1, nums.length - 1);
}

private void swap(int[] nums, int i, int j) {
    int temp = nums[i];
    nums[i] = nums[j];
    nums[j] = temp;
}

private void reverse(int[] nums, int start, int end) {
    while (start < end) {
        swap(nums, start, end);
        start++;
        end--;
    }
}

This code finds the next lexicographical permutation of the array in place.

Identify Repeating Operations

Look at the loops and repeated steps:

• Primary operation: Scanning the array from the end to find the first decreasing element.
• How many times: Up to n times, where n is the array length.
• Then scanning again from the end to find the element to swap, up to n times.
• Finally, reversing part of the array, which can take up to n/2 swaps.
• The dominant work is these linear scans and the reverse, each at most n steps.

How Execution Grows With Input

As the array size grows, the number of steps grows roughly in a straight line with it.

Input Size (n)	Approx. Operations
10	About 30 steps (3 scans of up to 10 each)
100	About 300 steps
1000	About 3000 steps

Pattern observation: The steps increase linearly as the array size increases.

Final Time Complexity

Time Complexity: O(n)

This means the time to find the next permutation grows in direct proportion to the array size.

Common Mistake

[X] Wrong: "The algorithm checks every possible permutation, so it must be factorial time."

[OK] Correct: The algorithm only scans the array a few times and reverses part of it, so it runs in linear time, not factorial.

Interview Connect

Understanding this linear time solution shows you can handle array manipulation and think about efficient scanning, a useful skill in many coding problems.

Self-Check

"What if we used a sorting step instead of reversing the suffix? How would the time complexity change?"

Practice

1. What does the next permutation of an array represent?

easy

A. The next lexicographically greater arrangement of the array elements

B. The array sorted in ascending order

C. The array reversed

D. The smallest element moved to the front

Solution

1. Step 1: Understand permutation order

   Permutations can be ordered lexicographically like words in a dictionary.

2. Step 2: Define next permutation

   The next permutation is the next arrangement that is just larger than the current one.

3. Final Answer:

   The next lexicographically greater arrangement of the array elements -> Option A

4. Quick Check:

   Next permutation = next bigger arrangement [OK]

Hint: Next permutation means next bigger arrangement [OK]

Common Mistakes:

• Thinking next permutation is sorting ascending
• Confusing next permutation with reversing array
• Assuming next permutation always moves smallest element front

2. Which of the following Java code snippets correctly swaps two elements arr[i] and arr[j] in an array?

easy

A. int temp = arr[i]; arr[i] = arr[j]; arr[j] = temp;

B. arr[i] = arr[j]; arr[j] = arr[i];

C. int temp = arr[j]; arr[i] = arr[j]; arr[j] = temp;

D. arr[i] = arr[j]; arr[j] = arr[i] + arr[j];

Solution

1. Step 1: Understand swapping logic

   Swapping requires a temporary variable to hold one value to avoid overwriting.

2. Step 2: Check each option

   int temp = arr[i]; arr[i] = arr[j]; arr[j] = temp; uses a temp variable correctly to swap values.

3. Final Answer:

   int temp = arr[i]; arr[i] = arr[j]; arr[j] = temp; -> Option A

4. Quick Check:

   Swap needs temp variable [OK]

Hint: Use temp variable to swap two array elements [OK]

Common Mistakes:

• Overwriting one element without temp variable
• Using incorrect order causing same values
• Trying to swap without temp variable incorrectly

3. What is the output of the following Java code snippet?

int[] arr = {1, 3, 2};
nextPermutation(arr);
System.out.println(Arrays.toString(arr));

// nextPermutation method implements the standard next permutation algorithm

medium

A. [1, 2, 3]

B. [1, 3, 2]

C. [3, 1, 2]

D. [2, 1, 3]

Solution

1. Step 1: Identify pivot from right

   From right, find first pair where arr[i] < arr[i+1]. Here, arr[0]=1 < arr[1]=3, so pivot is index 0.

2. Step 2: Find element to swap with pivot

   From right, find element > arr[0]=1, which is arr[2]=2.

3. Step 3: Swap and reverse suffix

   Swap arr[0] and arr[2]: [2,3,1]. Reverse suffix after pivot index 0: reverse [3,1] to [1,3]. Final array: [2,1,3].

4. Final Answer:

   [2, 1, 3] -> Option D

5. Quick Check:

   Next permutation of [1,3,2] = [2,1,3] [OK]

Hint: Find pivot, swap with next bigger, reverse suffix [OK]

Common Mistakes:

• Not reversing suffix after swap
• Swapping with wrong element
• Confusing pivot selection

4. The following Java method attempts to implement next permutation but has a bug. What is the bug?

void nextPermutation(int[] arr) {
  int i = arr.length - 2;
  while (i >= 0 && arr[i] <= arr[i + 1]) {
    i--;
  }
  if (i >= 0) {
    int j = arr.length - 1;
    while (arr[j] <= arr[i]) {
      j--;
    }
    swap(arr, i, j);
  }
  reverse(arr, i + 1, arr.length - 1);
}

medium

A. The swap method is missing

B. The first while condition should be arr[i] >= arr[i + 1]

C. The first while loop condition is reversed; should be arr[i] > arr[i + 1]

D. The first while loop condition should be arr[i] > arr[i + 1] to find pivot correctly

Solution

1. Step 1: Analyze pivot search condition

   The pivot is found by moving left while arr[i] >= arr[i+1]. The code uses arr[i] <= arr[i+1], which is incorrect.

2. Step 2: Correct condition for pivot

   The condition should be arr[i] >= arr[i+1] to find the first decreasing element from right.

3. Final Answer:

   The first while condition should be arr[i] >= arr[i + 1] -> Option B

4. Quick Check:

   Pivot search needs arr[i] >= arr[i+1] [OK]

Hint: Pivot search uses arr[i] >= arr[i+1] condition [OK]

Common Mistakes:

• Using wrong comparison operator in pivot search
• Forgetting to reverse suffix after swap
• Missing swap or reverse method implementations

5. Given the array int[] arr = {5, 4, 7, 5, 3, 2}, what will be the array after applying the next permutation algorithm twice?

hard

A. [5, 5, 2, 3, 4, 7]

B. [5, 4, 7, 5, 3, 2]

C. [5, 5, 2, 3, 7, 4]

D. [5, 7, 2, 3, 4, 5]

Solution

1. Step 1: Find first next permutation

   Array: [5,4,7,5,3,2]
   Pivot: from right, arr[1]=4 < arr[3]=5? No, arr[1]=4 < arr[2]=7 yes, pivot=1
   Swap arr[1]=4 with next bigger from right: arr[3]=5 (since 5 > 4 and closest from right)
   Swap: [5,5,7,4,3,2]
   Reverse suffix after index 1: reverse [7,4,3,2] to [2,3,4,7]
   Result: [5,5,2,3,4,7]

2. Step 2: Find second next permutation

   Array: [5,5,2,3,4,7]
   Pivot: arr[4]=4 < arr[5]=7 yes, pivot=4
   Swap arr[4]=4 with next bigger from right: arr[5]=7
   Swap: [5,5,2,3,7,4]
   Reverse suffix after index 4: reverse [4] (single element, no change)
   Result: [5,5,2,3,7,4]

3. Final Answer:

   [5, 5, 2, 3, 7, 4] -> Option C

4. Quick Check:

   Two next permutations applied correctly = [5,5,2,3,7,4] [OK]

Hint: Apply next permutation twice step-by-step carefully [OK]

Common Mistakes:

• Incorrect pivot selection
• Not reversing suffix after swap
• Swapping with wrong element