Beginning Data Structures Using C

The data structure is a set of specially organized data elements and functions, which are defined to store, retrieve, remove and search for individual data elements. Data Structures using C: A Practical Approach for Beginners covers all issues related to the amount of storage needed, the amount of time required to process the data, data representation of the primary memory and operations carried out with such data. Data Structures using C: A Practical Approach for Beginners book will help students learn data structure and algorithms in a focused way. Resolves linear and nonlinear data structures in C language using the algorithm, diagrammatically and its time and space complexity analysis Covers interview questions and MCQs on all topics of campus readiness Identifies possible solutions to each problem Includes real-life and computational applications of linear and nonlinear data structures This book is primarily aimed at undergraduates and graduates of computer science and information technology. Students of all engineering disciplines will also find this book useful.

Intended for those students who want to learn Data Structure programs in C language, this resource has a proper step-by-step explanation of each line of code. It contains the practical implementation of stacks, queues, linked lists, trees, graphs, and searching and sorting techniques.

This book is the second edition of a text designed for undergraduate engineering courses in Data Structures. The treatment of the subject matter in this second edition maintains the same general philosophy as in the first edition but with significant additions. These changes are designed to improve the readability and understandability of all algorithms so that the students acquire a firm grasp of the key concepts. This book is recommended in Assam Engineering College, Assam, Girijananda Chowdhury Institute of Management and Technology, Assam, Supreme Knowledge Foundation Group, West Bengal, West Bengal University of Technology (WBUT) for B.Tech. The book provides a complete picture of all important data structures used in modern programming practice. It shows :  various ways of representing a data structure  different operations to manage a data structure  several applications of a data structure The algorithms are presented in English-like constructs for ease of comprehension by students, though all of them have been implemented separately in C language to test their correctness. Key Features :  Red-black tree and spray tree are discussed in detail  Includes a new chapter on Sorting  Includes a new chapter on Searching  Includes a new appendix on Analysis of Algorithms for those who may be unfamiliar with the concepts of algorithms  Provides numerous section-wise assignments in each chapter  Also included are exercises—Problems to Ponder—in each chapter to enhance learning The book is suitable for students of : (i) computer science (ii) computer applications (iii) information and communication technology (ICT) (iv) computer science and engineering.

Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.

Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.

This second edition of Data Structures Using C has been developed to provide a comprehensive and consistent coverage of both the abstract concepts of data structures as well as the implementation of these concepts using C language. It begins with a thorough overview of the concepts of C programming followed by introduction of different data structures and methods to analyse the complexity of different algorithms. It then connects these concepts and applies them to the study of various data structures such as arrays, strings, linked lists, stacks, queues, trees, heaps, and graphs. The book utilizes a systematic approach wherein the design of each of the data structures is followed by algorithms of different operations that can be performed on them, and the analysis of these algorithms in terms of their running times. Each chapter includes a variety of end-chapter exercises in the form of MCQs with answers, review questions, and programming exercises to help readers test their knowledge.

The latest book from Cengage Learning on Data Structures Using C++, International Edition

About the Book: Principles of DATA STRUCTURES using C and C++ covers all the fundamental topics to give a better understanding about the subject. The study of data structures is essential to every one who comes across with computer science. This book is written in accordance with the revised syllabus for B. Tech./B.E. (both Computer Science and Electronics branches) and MCA. students of Kerala University, MG University, Calicut University, CUSAT Cochin (deemed) University. NIT Calicut (deemed) University, Anna University, UP Technical University, Amritha Viswa (deemed) Vidyapeeth, Karunya (dee.

Beginning Data Structures in C++ begins with a short analysis of functional abstraction which serves as a review of basic C++ programming operations especially array and structure processing actions. This includes Top-down design, stub testing and testing oracles. In fact, every example in Beginning Data Structures in C++ has an associated testing oracle to solidify how programs can be fully tested. User header files and multi-source files are used throughout the book. Next, Beginning Data Structures in C++ presents pointers and dynamic memory allocation in depth, since these operations form the foundation of data structure implementations. Recursive functions are also discussed, but adds a powerful sample program that illustrates a superb use for recursion. Beginning Data Structures in C++ presents the concepts of data abstraction along with with many illustrations of the different types. Key emphasis is on growable arrays or vectors, abstract data types (classes), linked lists, stacks and queues. The idea of a growable array is illustrated using structures as a "record" type data structure. Variant record implemented using unions are illustrated with solid examples. Two chapters of Beginning Data Structures in C++ present classes and their construction and use (abstract data types). However, the emphasis of class design is upon those elements that are required for data structure implementation and simple ADTs. No attempt has been made to turn this into an OOP primer. With an understanding of classes, the next series of chapters explore single and double linked lists, stacks and queues in great detail with many examples. A key principle is making reusable containers classes using only basic C++ OOP facilities. (Templates are considered an advanced data structures topic covered in CSIII.) Next, Beginning Data Structures in C++ discusses in depth binary file processing techniques including Inquiry and Update programs, relative record method, remainder method and ISAM methods. Hashing techniques are covered as they relate to direct file processing. Trees are covered including binary trees and binary searchable trees. The programming example illustrates how to construct a binary search tree for an ISAM data base. The last chapter of Beginning Data Structures in C++ discusses the broad topic of sorting algorithms including straight selection, bubble, Quicksort, Heapsort and Shellsort. A benchmark program is also presented along with methods for timing and random number generation.