Bubble sort, Selection sort, Insertion sort, Merge sort, Quick sort, and Heap sort. Why Choose "Through C" over "Through C++" or Java?
: It includes numerous examples, exercises, and frequently asked placement interview questions. Publication Details G.S. Baluja Dhanpat Rai & Co. (P) Limited Page Count ~651 pages Availability Available at major retailers like Amazon India Versions & Related Books ''C'' Programming and Data Structure - UPRTOU
| | Key Concepts Covered | | :--- | :--- | | Fundamentals | Introduction to Data Structures, classification (primitive & non-primitive), data types, and Abstract Data Types (ADTs). | | Algorithm Analysis | Introduction to algorithms, Performance analysis, Space & Time Complexity, Big O Notation , and recursion. | | Arrays | One-dimensional and multi-dimensional arrays, memory representation, pointer arithmetic, operations (insertion, deletion, merging), and sparse matrices. | | Stacks | LIFO (Last In, First Out) principle, implementation using arrays and pointers, applications like reversing strings, expression conversion (infix to postfix), and evaluation. | | Queues | FIFO (First In, First Out) principle, implementation, circular queues, double-ended queues (Deque), and priority queues. | | Linked Lists | Dynamic memory allocation, advantages over arrays, implementation of Singly, Doubly, and Circular Linked Lists, and operations (insertion, deletion, traversal). | | Trees | Terminology (root, leaf, parent, child), Binary Trees, Binary Search Trees (BST), tree traversal (Inorder, Preorder, Postorder), Threaded Binary Trees, and B-Trees. | | Sorting & Searching | Sorting (Bubble, Selection, Insertion, Quick, Merge, Heap, Radix) and Searching (Linear, Binary) algorithms. | | Hashing | Hash functions, collision resolution techniques (open addressing, chaining). |
Push, pop, and peek operations. The book heavily emphasizes practical applications like infix-to-postfix expression conversion and recursion management. gs baluja data structure pdf
The key strength of this book is its focus on practical implementation rather than just theoretical understanding. It is designed to help readers understand the and why behind data structure algorithms. Key Features of the Book
: Generally receives high praise, with a from over 70 reviewers on Amazon.in . Data Structures Through C++
Excellent for practicing interview-specific problems on Arrays, Stacks, and Trees. Bubble sort, Selection sort, Insertion sort, Merge sort,
Contains review questions and problems similar to those found in technical interviews and university exams. Syllabus & Topics Covered
(if needed)
Graph representations (Adjacency Matrix and Adjacency List) and traversal algorithms like Breadth-First Search (BFS) and Depth-First Search (DFS). 4. Searching and Sorting Algorithms Publication Details G
The book systematically covers the syllabus required for most university exams. It starts with the basics of arrays and pointers and progresses to complex topics such as:
Binary Tree traversals (Inorder, Preorder, Postorder) using both recursive and iterative methods.
Do not copy-paste code from a PDF. Manually typing the C++ classes for a linked list or a BST forces your brain to process pointer assignments and memory logic.
G.S. Baluja's book, " Data Structures Through C++: A Practical Approach " (often published by Dhanpat Rai & Co.), is a textbook tailored for computer science students and engineering professionals. As the title suggests, the book uses C++ to implement and explain various data structures.