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Solving Leetcode Interviews in Seconds with AI: Largest Triangle Area

Updated
2 min read

Introduction

In this blog post, we will explore how to solve the LeetCode problem "812" 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 array of points on the X-Y plane points where points[i] = [xi, yi], return the area of the largest triangle that can be formed by any three different points. Answers within 10-5 of the actual answer will be accepted. Example 1: Input: points = [[0,0],[0,1],[1,0],[0,2],[2,0]] Output: 2.00000 Explanation: The five points are shown in the above figure. The red triangle is the largest. Example 2: Input: points = [[1,0],[0,0],[0,1]] Output: 0.50000 Constraints: 3 <= points.length <= 50 -50 <= xi, yi <= 50 All the given points are unique.

Explanation

Here's the solution to find the largest triangle area:

  • Approach: Iterate through all possible combinations of three points. Calculate the area of the triangle formed by each combination using the determinant formula (also known as the Shoelace formula). Keep track of the maximum area encountered.
  • Efficiency: The determinant formula avoids computationally expensive operations like square roots, which are needed for Heron's formula.
  • Complexity: O(n^3) time complexity due to the three nested loops, and O(1) space complexity as we only store a few variables.

Code

    def largestTriangleArea(points):
    """
    Calculates the area of the largest triangle formed by any three points.

    Args:
    points: A list of lists, where each inner list represents a point [x, y].

    Returns:
    The area of the largest triangle.
    """

    max_area = 0
    n = len(points)

    for i in range(n):
        for j in range(i + 1, n):
            for k in range(j + 1, n):
                x1, y1 = points[i]
                x2, y2 = points[j]
                x3, y3 = points[k]

                area = 0.5 * abs(x1 * (y2 - y3) + x2 * (y3 - y1) + x3 * (y1 - y2))
                max_area = max(max_area, area)

    return max_area

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