Abstract: The Multiple Longest Common Subsequence (MLCS) Problem is to find one or more longest common subsequences from multiple (≥ 3) strings. However, as the scale of the sequences increases, the ...

Overview The longest common substring algorithm is presented elsewhere in this book. The longest common subsequence algorithm is similar. Unlike a substring, a subsequence need not be continuous. Ex: ...

When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.

Start by setting the counter to the middle position in the list. If the value held there is a match, the search ends. If the value at the midpoint is less than the value to be found, the list is ...