Largest Triangle Area - Problem
Find the Maximum Triangle Area from Points
You're given an array of points on a 2D coordinate plane, where each point is represented as
Goal: Return the area of the largest triangle
Input: Array of points
Output: Maximum triangle area as a floating-point number
The area calculation uses the mathematical formula for triangle area given three vertices. Answers within
You're given an array of points on a 2D coordinate plane, where each point is represented as
[x, y]. Your task is to find the largest possible area of a triangle that can be formed by selecting any three different points from the array.Goal: Return the area of the largest triangle
Input: Array of points
points[i] = [xi, yi]Output: Maximum triangle area as a floating-point number
The area calculation uses the mathematical formula for triangle area given three vertices. Answers within
10^-5 of the actual answer will be accepted, so you don't need to worry about extreme precision. Input & Output
example_1.py โ Basic Triangle
$
Input:
points = [[0,0],[0,1],[1,0],[0,2],[2,0]]
โบ
Output:
2.0
๐ก Note:
The largest triangle is formed by points [0,0], [0,2], and [2,0] with area = 0.5 * |0*(2-0) + 0*(0-0) + 2*(0-2)| = 0.5 * 4 = 2.0
example_2.py โ Collinear Points
$
Input:
points = [[1,0],[0,0],[2,0]]
โบ
Output:
0.0
๐ก Note:
All three points are collinear (on the same line), so they cannot form a triangle. The area is 0.
example_3.py โ Square Formation
$
Input:
points = [[0,0],[1,0],[0,1],[1,1]]
โบ
Output:
0.5
๐ก Note:
Multiple triangles can be formed, but the maximum area is 0.5 from triangles like [0,0], [1,0], [0,1]
Visualization
Tap to expand
Understanding the Visualization
1
Examine All Combinations
Check every possible set of three points
2
Calculate Areas
Use the coordinate formula to find each triangle's area
3
Track Maximum
Keep the largest area found so far
Key Takeaway
๐ฏ Key Insight: For geometric problems like finding maximum triangle area, brute force checking all combinations is often the optimal approach since geometric constraints don't allow for typical optimization shortcuts.
Time & Space Complexity
Time Complexity
O(nยณ)
Three nested loops to check all combinations of three points
โ Quadratic Growth
Space Complexity
O(1)
Only using a few variables to store coordinates and maximum area
โ Linear Space
Constraints
- 3 โค points.length โค 50
- -50 โค xi, yi โค 50
- All points are unique
- Answers within 10-5 of the actual answer will be accepted
๐ก
Explanation
AI Ready
๐ก Suggestion
Tab
to accept
Esc
to dismiss
// Output will appear here after running code