python最长递增子序列

Python中实现最长递增子序列的代码如下所示：

def LIS(arr):
    n = len(arr)
    dp = [1 * n
    for i in range(n):
        for j in range(i):
            if arr[j < arr[i]:
                dp[i = max(dp[i], dp[j + 1)
    return max(dp)

这段代码使用了动态规划的思想来解决最长递增子序列的问题。对于给定的数组arr，首先创建一个长度为n的dp数组，其中dp[i]表示以arr[i]为结尾的最长递增子序列的长度。然后，使用两个循环遍历arr中的每个元素，并通过比较前面的元素与当前元素的大小关系来更新dp数组。最后，返回dp数组中的最大值，即为最长递增子序列的长度。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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