Data Structures Using C

Thareja, Reema

ISBN 10: 0198099304 / ISBN 13: 9780198099307

Verlag: Oxford University Press, 2018

Beschreibung

Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. Bestandsnummer des Verkäufers ZEV.0198099304.VG

Bibliografische Details

Titel: Data Structures Using C

Verlag: Oxford University Press

Erscheinungsdatum: 2018

Einband: Softcover

Zustand: very_good

Auflage: 2. Auflage

Über diesen Titel

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor:

Reema Thareja is Assistant Professor at the Department of Computer Science, Shyama Prasad Mukherjee College for Women, University of Delhi. She has completed MCA (Software Engineering) and M Phil (Computer Science). She specializes in programming languages, OS, microprocessors, DBMS, multimedia, and web technologies and is currently pursuing research in Requirements Engineering approach to improve Data Warehouse Quality.