You are given two integers red and blue representing the count of red and blue colored balls. You have to arrange these balls to form a triangle such that the 1st row will have 1 ball, the 2nd row will have 2 balls, the 3rd row will have 3 balls, and so on.
All the balls in a particular row should be the same color, and adjacent rows should have different colors.
Return the maximum height of the triangle that can be achieved.
Example 1:
Input: red = 2, blue = 4
Output: 3
Explanation:

The only possible arrangement is shown above.
Example 2:
Input: red = 2, blue = 1
Output: 2
Explanation:

The only possible arrangement is shown above.
Example 3:
Input: red = 1, blue = 1
Output: 1
Example 4:
Input: red = 10, blue = 1
Output: 2
Explanation:

The only possible arrangement is shown above.
Constraints:
1 <= red, blue <= 100When you get asked this question in a real-life environment, it will often be ambiguous (especially at FAANG). Make sure to ask these questions in that case:
The brute force approach to finding the maximum height of a triangle, given the side lengths and area, involves trying out different possible heights. We systematically check heights until we find the largest one that produces a valid triangle with the given area.
Here's how the algorithm would work step-by-step:
def maximum_height_of_triangle(sticks, area_limit):
max_height = 0
sticks_length = len(sticks)
for i in range(sticks_length):
for j in range(i + 1, sticks_length):
for k in range(j + 1, sticks_length):
side_a = sticks[i]
side_b = sticks[j]
side_c = sticks[k]
# Check if the sides form a valid triangle
if (side_a + side_b > side_c) and \
(side_a + side_c > side_b) and \
(side_b + side_c > side_a):
# Calculate the semi-perimeter
semi_perimeter = (side_a + side_b + side_c) / 2
# Calculate the area using Heron's formula
area = (semi_perimeter * (semi_perimeter - side_a) * \
(semi_perimeter - side_b) * (semi_perimeter - side_c))**0.5
# Proceed only if area is within limit
if area <= area_limit:
# Calculate height using side_a as base
height_a = (2 * area) / side_a
max_height = max(max_height, height_a)
height_b = (2 * area) / side_b
max_height = max(max_height, height_b)
height_c = (2 * area) / side_c
max_height = max(max_height, height_c)
return max_heightThe optimal strategy focuses on maximizing the base of the triangle formed by the given lengths. By strategically arranging the lengths to form the widest possible base, we implicitly maximize the height. This avoids complex calculations and provides an efficient solution.
Here's how the algorithm would work step-by-step:
def maximum_height_of_triangle(triangle_area, triangle_base):
# Height equals two times area divided by base.
height = (2 * triangle_area) / triangle_base
# Prevents returning negative or zero height, invalid cases.
if triangle_area <= 0 or triangle_base <= 0:
return 0
# Return the calculated maximum possible height.
return height| Case | How to Handle |
|---|---|
| Area is zero | Return 0 as the maximum height, as any positive height will result in a positive area. |
| Base is zero | Return 0, as any non-zero height would result in a zero area which does not meet the given condition. |
| Area is negative | Return 0, as the area of a triangle cannot be negative, implying an invalid input. |
| Base is negative | Return 0, as the base of a triangle cannot be negative, implying an invalid input. |
| Area is a very large number | Ensure the calculation of height (2 * area / base) doesn't cause integer overflow; using long or double could be necessary. |
| Base is a very large number | Ensure that when dividing a large number by the base it is handled accurately, especially if integer division truncates. |
| Area is a floating point number but is cast as int | Check for significant data loss upon conversion from float to int by rounding or casting. |
| Base is a floating point number but is cast as int | Check for significant data loss upon conversion from float to int by rounding or casting. |