{ "data": { "question": { "questionId": "1000062", "questionFrontendId": "LCP 10", "categoryTitle": "Algorithms", "boundTopicId": 208501, "title": "二叉树任务调度", "titleSlug": "er-cha-shu-ren-wu-diao-du", "content": "", "translatedTitle": "二叉树任务调度", "translatedContent": "

任务调度优化是计算机性能优化的关键任务之一。在任务众多时，不同的调度策略可能会得到不同的总体执行时间，因此寻求一个最优的调度方案是非常有必要的。

\n\n

通常任务之间是存在依赖关系的，即对于某个任务，你需要先完成他的前导任务（如果非空），才能开始执行该任务。我们保证任务的依赖关系是一棵二叉树，其中 root 为根任务，root.left 和 root.right 为他的两个前导任务（可能为空），root.val 为其自身的执行时间。

\n\n

在一个 CPU 核执行某个任务时，我们可以在任何时刻暂停当前任务的执行，并保留当前执行进度。在下次继续执行该任务时，会从之前停留的进度开始继续执行。暂停的时间可以不是整数。

\n\n

现在，系统有两个 CPU 核，即我们可以同时执行两个任务，但是同一个任务不能同时在两个核上执行。给定这颗任务树，请求出所有任务执行完毕的最小时间。

\n\n

示例 1：

\n\n
\n

\"image.png\"

\n\n

输入：root = [47, 74, 31]

\n\n

输出：121

\n\n

解释：根节点的左右节点可以并行执行31分钟，剩下的43+47分钟只能串行执行，因此总体执行时间是121分钟。

\n
\n\n

示例 2：

\n\n
\n

\"image.png\"

\n\n

输入：root = [15, 21, null, 24, null, 27, 26]

\n\n

输出：87

\n
\n\n

示例 3：

\n\n
\n

\"image.png\"

\n\n

输入：root = [1,3,2,null,null,4,4]

\n\n

输出：7.5

\n
\n\n

限制：

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