a lcs space lcs空间
To compute the LCS efficiently using dynamic programming, you start by constructing a table in which you build up partial results.
为了用动态编程有效地计算lcs,首先需要构建一个表格,用它保存部分结果。
In this case, the LCS of S1 and S2 is clearly a zero-length string.
在这种情况下,S1和S2的LCS显然是长度为零的字符串。
You'll first see how to use dynamic programming to find a longest common subsequence (LCS) of two DNA sequences.
首先将要看到如何运用动态编程查找两个 DNA 序列的 最长公共子序列(longest common subsequence,LCS)。
应用推荐