Shortest Subarray with Sum at Least K
<p>Given an integer array <code>nums</code> and an integer <code>k</code>, return <em>the length of the shortest non-empty <strong>subarray</strong> of </em><code>nums</code><em> with a sum of at least </em><code>k</code>. If there is no such <strong>subarray</strong>, return <code>-1</code>.</p>

<p>A <strong>subarray</strong> is a <strong>contiguous</strong> part of an array.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<pre><strong>Input:</strong> nums = [1], k = 1
<strong>Output:</strong> 1
</pre><p><strong class="example">Example 2:</strong></p>
<pre><strong>Input:</strong> nums = [1,2], k = 4
<strong>Output:</strong> -1
</pre><p><strong class="example">Example 3:</strong></p>
<pre><strong>Input:</strong> nums = [2,-1,2], k = 3
<strong>Output:</strong> 3
</pre>
<p>&nbsp;</p>
<p><strong>Constraints:</strong></p>

<ul>
	<li><code>1 &lt;= nums.length &lt;= 10<sup>5</sup></code></li>
	<li><code>-10<sup>5</sup> &lt;= nums[i] &lt;= 10<sup>5</sup></code></li>
	<li><code>1 &lt;= k &lt;= 10<sup>9</sup></code></li>
</ul>
Queue; Array; Binary Search; Prefix Sum; Sliding Window; Monotonic Queue; Heap (Priority Queue)
function shortestSubarray(nums, k) {
    const [n, MAX] = [nums.length, Number.POSITIVE_INFINITY];
    const s = Array(n + 1).fill(0);
    const q = [];
    let ans = MAX;

    for (let i = 0; i < n; i++) {
        s[i + 1] = s[i] + nums[i];
    }

    for (let i = 0; i < n + 1; i++) {
        while (q.length && s[i] - s[q[0]] >= k) {
            ans = Math.min(ans, i - q.shift());
        }

        while (q.length && s[i] <= s[q.at(-1)]) {
            q.pop();
        }

        q.push(i);
    }

    return ans === MAX ? -1 : ans;
}
