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Learn DSA

Master Data Structures and Algorithms with interactive theory, visualizations, and hands-on simulations. Build your coding skills with comprehensive learning resources.

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Data Structures

Arrays
Linked Lists
Stacks
Queues
Trees
Graphs

Algorithms

Sorting
Searching
Graph Algorithms
Dynamic Programming
Greedy
Divide & Conquer

Interactive Theory

Comprehensive explanations with examples

Visual Learning

Dynamic visualizations and animations

Hands-on Practice

Interactive simulations and exercises

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Learn DSA is an educational platform designed to help students and professionals master data structures and algorithms. All content is provided for educational purposes only. We are not affiliated with any specific company or institution.

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Longest Increasing Subsequence (LIS)

Two paradigms: quadratic DP for clarity and O(n log n) patience sorting for performance. Shows evolution of optimization.

Time

O(n log n)

or O(n²)

Space

O(n)

piles/parents

Pattern

Sequence DP

State

dp[i] / piles

Variants

Non‑decreasing
2D Envelopes
Circular

Interactive Simulation

Patience sorting piles evolution and placement positions per element.

Theory & Approaches

Compare O(n²) dp with O(n log n) method, reconstruction notes and variants.

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