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EbookBell Team
4.4
22 reviews 
ISBN 10: 1906574049
ISBN 13: 978-1906574048
Author: R. Pahuja
The aim of the book is to serve as a text for students learning programming in 'C' on Data Structures such as array, linked list, stack, queue, trees, graph and sorting and searching methodology.
The book illustrates in detail the methods, algorithms, functions and implementation of each and every concept of data structures. Algorithms are written in pseudo syntax i.e., near to 'C' language for easy understanding. It contains worked examples to amplify the material, and enhance the pedagogy.
The content is not overburdened with math, and instead pays attention to the key components of the subject, especially link listing. By discussing the practical applications of the subject, the author has lessened the dry theory involved, and made the book more approachable.
1.1 Introduction to data representation
1.2 Review of data structures—Array, Pointer, Structure, Lists, Trees and Graphs
1.3 What is an Algorithm?
1.4 Designing Algorithms
1.5 Analyzing Algorithms
1.6 Mathematical Notation and Functions
1.7 Asymptotic Notation (O,θ,Ω)
1.8 Performance Measurement
2.3 Functions
2.4 Structures and Unions
2.5 Pointers
2.6 Memory Management in 'C'
3.1 One Dimensional Arrays
3.2 Two-Dimensional Arrays
3.3 Multidimensional Arrays
3.4 Ordered Arrays
3.5 Sparse Matrix
4.1 Linear Linked List and Operations
4.2 Circular Linked Linear Lists and Operations
4.3 Doubly Linear Linked Lists and Operations
4.4.1 Polynomial Manipulation
4.4.2 Multiple–Precision Arithmetic
4.5 Set Operation on Linked List
5.1 Representation: Using Array and Linked List
5.2 Push and Pop Operations
5.3 Representation of expression: Infix, Postfix and Prefix
5.4 Evaluation of the Postfix expression
5.5 Transforming Infix Expression into Postfix Expression
5.6 Recursion
6.1 Representation: Using Array and Linked List
6.2 Insertion and Deletion Operations
6.3 Circular Queue
6.4 Double Ended Queues (DEQues)
6.5 Priority Queue
6.6 Multiple Queues
7.1 General Concept
7.2 Binary Tree
7.3 Sequential and Linked List Representation of Binary Tree
7.4 Binary Tree Traversal Algorithm: Recursive and Non-recursive
7.5 Threaded Binary Tree Traversal
7.6 General Tree and Its Conversion
7.7 Binary Search Tree (BST)
7.8 Height Balanced Trees: AVL
7.9 B-Trees
7.10 Applications of Trees
8.1 Properties of Graphs
8.2 Representation of Graphs
8.3 Traversal Algorithms—Depth First Search, Breadth First Search
8.4 Minimum Cost Spanning Tree
8.5 Biconnectivity
8.6 Strong Connectivity
8.7 Transitive Closure Algorithm
8.8 Shortest Path Algorithms
8.9 Applications of Graph
9.1 Internal and External Sorting
9.2 Sorting Problem
9.2.1 Bubble Sort
9.2.2 Selection Sort
9.2.3 Insertion Sort
9.2.4 Shell Sort
9.2.6 Radix Sort
9.2.7 Merge Sort
9.2.8 Quick Sort
9.2.9 Heap Sort
10.2 Binary Search
10.3 Hashing
10.3.1 Hash Functions
10.3.2 Collision Resolution Techniques
10.4 Dynamic Memory Allocation
11.1 Definition and Concept
11.2 File Organization
11.3 Files in 'C'
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Tags: R Pahuja, Practical, Approach, Data Structures, Algorithms