Solving Leetcode Interviews in Seconds with AI: Pascal's Triangle II
Introduction
In this blog post, we will explore how to solve the LeetCode problem "119" 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
Given an integer rowIndex, return the rowIndexth (0-indexed) row of the Pascal's triangle. In Pascal's triangle, each number is the sum of the two numbers directly above it as shown: Example 1: Input: rowIndex = 3 Output: [1,3,3,1] Example 2: Input: rowIndex = 0 Output: [1] Example 3: Input: rowIndex = 1 Output: [1,1] Constraints: 0 <= rowIndex <= 33 Follow up: Could you optimize your algorithm to use only O(rowIndex) extra space?
Explanation
Here's an efficient solution to generate the rowIndex-th row of Pascal's triangle:
- Iterative Row Generation: Build the Pascal's triangle row by row, starting from the first row
[1]. - In-place Update: Instead of storing all previous rows, update the current row in-place based on the previous row's values, significantly reducing space complexity. Specifically, generate each element based on the formula:
row[j] = row[j-1] + row[j]. Optimization: We will compute the row from right to left. If we compute it from left to right, we would overwrite the values needed in the later computations.
Runtime Complexity: O(rowIndex2), Storage Complexity: O(rowIndex)
Code
def getRow(rowIndex: int) -> list[int]:
"""
Given an integer rowIndex, return the rowIndexth (0-indexed) row of the Pascal's triangle.
"""
row = [1] * (rowIndex + 1) # Initialize the row with 1s
for i in range(1, rowIndex + 1):
for j in range(i - 1, 0, -1): # Iterate from right to left
row[j] = row[j-1] + row[j]
return row