✍️ Advanced Data Structures Practice Arena
Move from complexity analysis and disjoint sets to advanced trees, hashing, files, graph algorithms and placement-level problem solving. Every challenge includes a C coding workspace, five tests, a hint, an official program and progress tracking.
🎯 Choose Your Practice Level
Begin with analysis and representation, continue through advanced trees and hashing, then finish with storage, graph and placement challenges.
Foundations & Algorithms
Analyze, represent, match, sort and search efficiently.
Performance Analysis
Operation counting, logarithms and recurrence growth.
LEVEL 09Disjoint Sets
Components, connectivity and cycle detection.
LEVEL 10Sparse Matrices
Triples, transpose and sparse row aggregation.
LEVEL 11Pattern Matching
Naive matching, prefix tables and KMP.
LEVEL 12Advanced Sorting
Merge sort, inversion counting and counting sort.
LEVEL 13Advanced Searching
Boundaries, rotation and answer-space search.
Advanced Trees & Hashing
Maintain balance, exploit prefixes and organize keys.
Balanced BST
AVL insertion, rotations and ordered queries.
LEVEL 15Digital Search Trees
Trie nodes, prefixes and maximum XOR.
LEVEL 16Multiway Search Trees
B-tree limits, node search and split promotion.
LEVEL 17Heaps
Heap construction, selection and streaming medians.
LEVEL 18Hashing
Chaining, probing and lookup cost.
Storage, Graphs & Placement
Apply advanced structures to realistic systems and interviews.
🧩 ADS Challenge Levels
Open a level, choose a challenge, write your C program and verify all five tests.
📊Level 8 — Performance Analysis3 challenges
Count operations and connect mathematical growth with actual program behavior.
🔗Level 9 — Disjoint Sets3 challenges
Use path compression and union by size to maintain dynamic components.
🧮Level 10 — Sparse Matrices3 challenges
Work with coordinate triples instead of storing unnecessary zero values.
🔤Level 11 — String Pattern Matching3 challenges
Find patterns efficiently using borders and failure information.
⚡Level 12 — Advanced Sorting3 challenges
Sort scalable inputs and extract information during the sorting process.
🎯Level 13 — Advanced Searching3 challenges
Search boundaries, rotated data and monotonic answer spaces.
🌲Level 14 — Balanced BST3 challenges
Maintain AVL balance while supporting ordered tree operations.
🔠Level 15 — Digital Search Trees3 challenges
Represent strings and bit patterns by following digital decisions.
🌳Level 16 — Multiway Search Trees3 challenges
Reason about B-tree capacity, node scans and median promotion.
⛰️Level 17 — Heaps3 challenges
Maintain priorities and solve repeated best-element problems.
#️⃣Level 18 — Hashing3 challenges
Resolve collisions and measure lookup behavior in hash tables.
📁Level 19 — File Organization3 challenges
Model records, blocks and indexes used by persistent storage.
🕸️Level 20 — Advanced Graph Algorithms3 challenges
Build spanning trees, shortest paths and valid dependency orders.
🏆Level 21 — Placement Problems3 challenges
Recognize the correct advanced structure under interview constraints.