How to learn Longest Increasing Subsequence (LIS) for coding interviews?

Master Longest Increasing Subsequence (LIS) by understanding the core concept and practicing related problems. Key topics: longest increasing subsequence, LIS, patience sorting, binary search LIS, leetcode 300.

Back to Dynamic Programming Patterns

Dynamic Programming Patterns · 12 of 12

Longest Increasing Subsequence (LIS)

Find LIS using DP and binary search optimization. O(n log n) solution.

Topics

longest increasing subsequenceLISpatience sortingbinary search LISleetcode 300

What you'll learn

•Core concepts and intuition behind Longest Increasing Subsequence (LIS)
•Step-by-step implementation with code examples
•Time and space complexity analysis
•Common interview problems and variations

Ready to learn Longest Increasing Subsequence (LIS)?

Access the full theory, code examples, and practice problems.

Start Learning

Other subpatterns in Dynamic Programming Patterns

Edit Distance - Levenshtein Distance

Calculate minimum edit operations to transform one string to another using 2D DP.

Kadane's Algorithm - Maximum Subarray

Master Kadane's algorithm for finding maximum (or minimum) subarray sum in O(n) time.

Interval Dynamic Programming

Solve problems on intervals like burst balloons and matrix chain multiplication using interval DP.

Unique Paths on Grid - 2D DP

Count paths and find optimal paths in grids using 2D dynamic programming.

Loading Thita. Almost there...