Data Structures – Complete GATE CS Study Guide | EngineeringHulk


Data Structures — GATE CS Complete Study Guide

The highest-weighted topic in GATE CS (combined with Algorithms: 10–14 marks). Arrays to advanced trees — master every structure with time complexity, GATE examples, and worked problems.

Last updated: April 2026  |  GATE CS 2024–2026 syllabus

What You Will Learn

  • Arrays and strings — memory layout, 2D addressing, string operations and pattern matching (KMP, Rabin-Karp).
  • Linked lists — singly, doubly, circular; insertion/deletion/reversal; Floyd’s cycle detection.
  • Stacks and queues — array and linked-list implementations; applications: expression evaluation, BFS.
  • Trees — binary trees, traversals, BST operations, AVL rotations, height/node GATE formulae.
  • Heaps and priority queues — max/min-heap, heapify, heap sort, time complexity proofs.
  • Hashing — hash functions, collision resolution (chaining, open addressing), load factor analysis.
  • Graph representations — adjacency matrix vs list, BFS, DFS, complexity comparison.
  • Advanced trees — B-trees, B+ trees, Red-Black trees, Segment trees — used in DBMS and OS questions.
  • Formula sheet — all key complexity results in one page for last-minute revision.

Topics in This Cluster

01

Arrays & Strings

1D/2D array memory addressing, row-major vs column-major, string operations, KMP pattern matching, Rabin-Karp algorithm.

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02

Linked Lists

Singly, doubly, circular linked lists; insertion, deletion, reversal; Floyd’s cycle detection; merge of sorted lists.

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03

Stacks & Queues

Stack/queue implementations; infix-postfix-prefix conversion; expression evaluation; circular queue; deque.

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04

Trees & BST

Binary trees, traversals (in/pre/post/level), BST insert/delete/search, AVL trees and rotations, height/node formulae.

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05

Heaps & Priority Queues

Max/min-heap properties, heapify O(n) proof, heap sort, priority queue operations, d-ary heaps.

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06

Hashing

Hash functions, chaining, open addressing (linear, quadratic, double hashing), load factor, expected search time analysis.

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07

Graph Representation & Traversals

Adjacency matrix vs adjacency list, BFS, DFS, time/space complexity, topological sort, connected components.

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08

Advanced Trees

B-trees and B+ trees (DBMS context), Red-Black trees, Segment trees, Fenwick (BIT) trees — properties and GATE applications.

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09

Data Structures Formula Sheet

All time/space complexities, formulae, and key properties consolidated for rapid GATE revision.

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GATE CS Weightage — Data Structures

TopicAvg. MarksCommon Question Types
Trees & BST / AVL2–4 marksHeight, rotations, traversal output, node count
Hashing1–2 marksCollision, probe sequence, expected search time
Stacks & Queues1–2 marksExpression conversion, queue simulation
Graphs (DS part)1–2 marksBFS/DFS trace, adjacency structure
Heaps1 markHeapify, heap sort steps
Arrays & Linked Lists1 markAddress calculation, pointer manipulation
Total5–8 marks