<p>You are given an array of integers <code>nums</code> of length <code>n</code>.</p>

<p>The <strong>cost</strong> of an array is the value of its <strong>first</strong> element. For example, the cost of <code>[1,2,3]</code> is <code>1</code> while the cost of <code>[3,4,1]</code> is <code>3</code>.</p>

<p>You need to divide <code>nums</code> into <code>3</code> <strong>disjoint contiguous </strong><span data-keyword="subarray-nonempty">subarrays</span>.</p>

<p>Return <em>the <strong>minimum</strong> possible <strong>sum</strong> of the cost of these subarrays</em>.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<pre>
<strong>Input:</strong> nums = [1,2,3,12]
<strong>Output:</strong> 6
<strong>Explanation:</strong> The best possible way to form 3 subarrays is: [1], [2], and [3,12] at a total cost of 1 + 2 + 3 = 6.
The other possible ways to form 3 subarrays are:
- [1], [2,3], and [12] at a total cost of 1 + 2 + 12 = 15.
- [1,2], [3], and [12] at a total cost of 1 + 3 + 12 = 16.
</pre>

<p><strong class="example">Example 2:</strong></p>

<pre>
<strong>Input:</strong> nums = [5,4,3]
<strong>Output:</strong> 12
<strong>Explanation:</strong> The best possible way to form 3 subarrays is: [5], [4], and [3] at a total cost of 5 + 4 + 3 = 12.
It can be shown that 12 is the minimum cost achievable.
</pre>

<p><strong class="example">Example 3:</strong></p>

<pre>
<strong>Input:</strong> nums = [10,3,1,1]
<strong>Output:</strong> 12
<strong>Explanation:</strong> The best possible way to form 3 subarrays is: [10,3], [1], and [1] at a total cost of 10 + 1 + 1 = 12.
It can be shown that 12 is the minimum cost achievable.
</pre>

<p>&nbsp;</p>
<p><strong>Constraints:</strong></p>

<ul>
	<li><code>3 &lt;= n &lt;= 50</code></li>
	<li><code>1 &lt;= nums[i] &lt;= 50</code></li>
</ul>

class Solution:
    def minimumCost(self, nums: List[int]) -> int:
        result = float("inf")
        for i in range(1, len(nums)):
            for j in range(i + 1, len(nums)):
                result = min(result, nums[0] + nums[i] + nums[j])

        return result
93