Find the Pivot Integer | 5 Approaches | Easy Explanation | Leetcode 2485

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This is the 20th Video of our Playlist "Maths : Popular Interview Problems".
In this video we will try to solve a very good Maths problem : Find the Pivot Integer | 5 Approaches | Easy Explanation | Leetcode 2485

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Problem Name : Find the Pivot Integer | 5 Approaches | Easy Explanation | Leetcode 2485
Company Tags : Apple
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Mathematical/Find%20the%20Pivot%20Integer.cpp
Leetcode Link : https://leetcode.com/problems/find-the-pivot-integer/


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Approach Summary :
Sure, here's a short summary of each approach:

1. Brute Force (Approach-1):
- Time Complexity: O(n^2)
- Space Complexity: O(1)
- The algorithm iterates through all possible pivot points and checks if the sum of elements on the left and right sides is equal.

2. Optimizing with Maths (Approach-2):
- Time Complexity: O(n)
- Space Complexity: O(1)
- Optimizes the brute force approach by calculating the total sum and using mathematical formulas to compute the left and right sums, reducing the time complexity.

3. Two Pointer (Approach-3):
- Time Complexity: O(n)
- Space Complexity: O(1)
- Uses two pointers starting from the beginning and end of the sequence, incrementing/decrementing them based on the comparison of the sums of elements on the left and right sides.

4. Binary Search (Approach-4):
- Time Complexity: O(log(n))
- Space Complexity: O(1)
- Applies binary search to find the pivot point by comparing the square of the potential pivot with the total sum, reducing the time complexity significantly.

5. Quick Math (Approach-5):
- Time Complexity: O(1)
- Space Complexity: O(1)
- Utilizes quick math by calculating the square root of the total sum and checking if the square of the result equals the total sum, providing a constant time solution.

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✨ Timelines✨
00:00 - Introduction
01:17 - Approach : 1
03:47 - Approach : 2
08:14 - Approach : 3
13:21 - Approach : 4 (Maths Proof)
18:31 - Approach : 5
21:28 - Coding them up

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