Solving Leetcode Interviews in Seconds with AI: Minimum Number of Increments on Subarrays to Form a Target Array
Introduction
In this blog post, we will explore how to solve the LeetCode problem "1526" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like Chatmagic, we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.
Problem Statement
You are given an integer array target. You have an integer array initial of the same size as target with all elements initially zeros. In one operation you can choose any subarray from initial and increment each value by one. Return the minimum number of operations to form a target array from initial. The test cases are generated so that the answer fits in a 32-bit integer. Example 1: Input: target = [1,2,3,2,1] Output: 3 Explanation: We need at least 3 operations to form the target array from the initial array. [0,0,0,0,0] increment 1 from index 0 to 4 (inclusive). [1,1,1,1,1] increment 1 from index 1 to 3 (inclusive). [1,2,2,2,1] increment 1 at index 2. [1,2,3,2,1] target array is formed. Example 2: Input: target = [3,1,1,2] Output: 4 Explanation: [0,0,0,0] -> [1,1,1,1] -> [1,1,1,2] -> [2,1,1,2] -> [3,1,1,2] Example 3: Input: target = [3,1,5,4,2] Output: 7 Explanation: [0,0,0,0,0] -> [1,1,1,1,1] -> [2,1,1,1,1] -> [3,1,1,1,1] -> [3,1,2,2,2] -> [3,1,3,3,2] -> [3,1,4,4,2] -> [3,1,5,4,2]. Constraints: 1 <= target.length <= 105 1 <= target[i] <= 105
Explanation
Here's the breakdown of the solution:
- Key Idea: The minimum number of operations is determined by the cumulative increase required at each index compared to the previous index. We only need to increment when the current element is greater than the previous.
- Calculate Differences: Iterate through the array and sum the positive differences between consecutive elements. This sum represents the total number of increment operations needed.
Handle the First Element: The first element always requires an initial increment from 0.
Complexity: Time: O(n), Space: O(1)
Code
def minOperations(target):
"""
Calculates the minimum number of operations to form a target array from an initial array of zeros.
Args:
target: A list of integers representing the target array.
Returns:
An integer representing the minimum number of operations.
"""
operations = target[0] # Initial increment for the first element
for i in range(1, len(target)):
diff = target[i] - target[i - 1]
if diff > 0:
operations += diff
return operations