動的蚈画法Intermediate

最長共通郚分列LCS

2぀の列に同じ順序で存圚する最長の郚分列を芋぀けたす。動的蚈画法を䜿甚しお解テヌブルを構築したす。DNA配列アラむメント、ファむル差分ツヌルdiff、盗䜜怜出などの応甚がありたす。

#dynamic-programming#strings#sequences#optimization

Complexity Analysis

Time (Average)

O(m × n)

Expected case performance

Space

O(m × n)

Memory requirements

Time (Best)

O(m × n)

Best case performance

Time (Worst)

O(m × n)

Worst case performance

📚 CLRS Reference

Introduction to Algorithms•Chapter 15•Section 15.4

LCS finds the longest subsequence common to both strings

Step: 1 / 0
500ms
SlowFast
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Real-time Statistics

Algorithm Performance Metrics

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Algorithm Visualization

Step 1 of 0

Initialize array to begin

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Code Execution

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Implementation

Longest Common Subsequence (LCS) - Algorithm Vision | Algorithm Vision