Wednesday, October 9, 2024
Google search engine
HomeData Modelling & AICount subarrays with elements in alternate increasing-decreasing order or vice-versa

Count subarrays with elements in alternate increasing-decreasing order or vice-versa

Given an array arr[] of size N, the task is to find the count of subarrays with elements in alternate increasing-decreasing order or vice-versa. A subarray {a, b, c} will be valid if and only if either (a < b > c) or (a > b < c) is satisfied.

Examples:

Input: arr[] = {9, 8, 7, 6, 5}
Output: 4
Explanation: As each element is lesser than the other,  
only consider the sequence of length 2, four times: [9, 8], [8, 7], [7, 6], [6, 5]

Input: arr[] = {1, 2, 1, 2, 1}
Output: 10
Explanation: All possible sequences are: [1, 2, 1, 2, 1], [1, 2, 1, 2], [2, 1, 2, 1], [1, 2, 1],  
[2, 1, 2], [1, 2, 1], [1, 2], [2, 1], [1, 2], [2, 1]

 

Approach: The task can be solved using a sliding window approach and mathematical concepts. The solution is built using the following steps:

  • Find the longest current valid subarray.
  • When the current longest valid subarray breaks, take the length of the subarray which was longest and store it in an array.
  • Restart the window from the point where the previous longest subarray ended and find the next longest window and repeat till the array finishes.
  • The array will have the length of contiguous subarrays in it which are non-overlapping.
  • For each window of size k, which is a valid subarray, all possible windows of any size are also valid subsequences.
  • To find all possible subsequences in a window, if one window is k, then count of  all subarrays of all sizes = k x (k-1) /2
  • Do this for each window size in the array and add it to count.
  • Return count as final answer.

Below is the implementation of the above approach:

C++




// C++ program for the above approach
#include <bits/stdc++.h>
using namespace std;
 
// Function to find the count
// of valid subarrays
int getSubsequenceCount(vector<int>& nums)
{
 
  bool flag = false;
  vector<int> arr;
  int i = 0, j = 1;
  while (j < nums.size()) {
    if ((nums[j] > nums[j - 1] && flag != true)
        || (nums[j] < nums[j - 1] && flag != false)) {
      if (nums[j] > nums[j - 1])
        flag = true;
      else if (nums[j] < nums[j - 1])
        flag = false;
      j += 1;
    }
 
    else {
      if (j - i != 1) {
        arr.push_back(j - i);
        flag = false;
        i = j - 1;
      }
      else {
        i = j;
        j += 1;
      }
    }
  }
  if (j - i != 1)
    arr.push_back(j - i);
  int count = 0;
 
  // Number of valid subsequences
  for (int itm : arr)
    count += itm * (itm - 1) / 2;
  return count;
}
 
int main()
{
  // Driver code
  vector<int> nums = { 1, 2, 1, 2, 1 };
  cout << getSubsequenceCount(nums) << "\n";
}
 
// This code is contributed by Taranpreet


Java




// Java program for the above approach
import java.util.ArrayList;
 
class GFG
{
 
  // Function to find the count
  // of valid subarrays
  static int getSubsequenceCount(int[] nums) {
 
    boolean flag = false;
    ArrayList<Integer> arr = new ArrayList<Integer>();
    int i = 0, j = 1;
    while (j < nums.length) {
      if ((nums[j] > nums[j - 1] && flag != true) ||
          (nums[j] < nums[j - 1] && flag != false)) {
        if (nums[j] > nums[j - 1])
          flag = true;
        else if (nums[j] < nums[j - 1])
          flag = false;
        j += 1;
      }
 
      else {
        if (j - i != 1) {
          arr.add(j - i);
          flag = false;
          i = j - 1;
        } else {
          i = j;
          j += 1;
        }
      }
    }
    if (j - i != 1)
      arr.add(j - i);
    int count = 0;
 
    // Number of valid subsequences
    for (int itm : arr)
      count += itm * (itm - 1) / 2;
    return count;
  }
 
  public static void main(String args[]) {
    // Driver code
    int[] nums = { 1, 2, 1, 2, 1 };
    System.out.println(getSubsequenceCount(nums));
  }
}
 
// This code is contributed gfgking


Python3




# Python program for the above approach
 
# Function to find the count
# of valid subarrays
def getSubsequenceCount(nums):
    flag = None
    length = 1
    arr = []
    i, j = 0, 1
    while j < len(nums):
        if(nums[j] > nums[j-1] and flag != True) \
                or (nums[j] < nums[j-1] \
                    and flag != False):
            if(nums[j] > nums[j-1]):
                flag = True
            elif(nums[j] < nums[j-1]):
                flag = False
            j += 1
        else:
            if(j-i != 1):
                arr.append(j-i)
                flag = None
                i = j-1
            else:
                i = j
                j += 1
    if(j-i != 1):
        arr.append(j-i)
    count = 0
 
    # Number of valid subsequences
    for n in arr:
        count += n*(n-1)//2
    return count
 
# Driver code
if __name__ == "__main__":
    nums = [1, 2, 1, 2, 1]
    print(getSubsequenceCount(nums))


C#




// C# program for the above approach
using System;
using System.Collections.Generic;
 
public class GFG{
 
  // Function to find the count
  // of valid subarrays
  static int getSubsequenceCount(int[] nums) {
 
    bool flag = false;
    List<int> arr = new List<int>();
    int i = 0, j = 1;
    while (j < nums.Length) {
      if ((nums[j] > nums[j - 1] && flag != true) ||
          (nums[j] < nums[j - 1] && flag != false)) {
        if (nums[j] > nums[j - 1])
          flag = true;
        else if (nums[j] < nums[j - 1])
          flag = false;
        j += 1;
      }
 
      else {
        if (j - i != 1) {
          arr.Add(j - i);
          flag = false;
          i = j - 1;
        } else {
          i = j;
          j += 1;
        }
      }
    }
    if (j - i != 1)
      arr.Add(j - i);
    int count = 0;
 
    // Number of valid subsequences
    foreach (int itm in arr)
      count += itm * (itm - 1) / 2;
    return count;
  }
 
  static public void Main ()
  {
     
    // Driver code
    int[] nums = { 1, 2, 1, 2, 1 };
    Console.WriteLine(getSubsequenceCount(nums));
  }
}
 
// This code is contributed Shubham Singh


Javascript




<script>
    // JavaScript program for the above approach
 
    // Function to find the count
    // of valid subarrays
    const getSubsequenceCount = (nums) => {
     
        let flag = 0;
        let length = 1;
        let arr = [];
        let i = 0, j = 1;
        while (j < nums.length) {
            if ((nums[j] > nums[j - 1] && flag != true) || (nums[j] < nums[j - 1] && flag != false)) {
                if (nums[j] > nums[j - 1])
                    flag = true;
                else if (nums[j] < nums[j - 1])
                    flag = false;
                j += 1;
            }
 
            else {
                if (j - i != 1) {
                    arr.push(j - i)
                    flag = false;
                    i = j - 1;
                }
                else {
                    i = j;
                    j += 1
                }
            }
        }
        if (j - i != 1)
            arr.push(j - i);
        let count = 0;
 
        // Number of valid subsequences
        for (let itm in arr)
            count += parseInt(arr[itm] * (arr[itm] - 1) / 2)
        return count;
    }
 
    // Driver code
    nums = [1, 2, 1, 2, 1];
    document.write(getSubsequenceCount(nums));
 
    // This code is contributed by rakeshsahni
 
</script>


Output

10

Time Complexity: O(N)
Auxiliary Space: O(N)

Feeling lost in the world of random DSA topics, wasting time without progress? It’s time for a change! Join our DSA course, where we’ll guide you on an exciting journey to master DSA efficiently and on schedule.
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 neveropen!

RELATED ARTICLES

Most Popular

Recent Comments