Data Structures in Java

1. Auflage 2023
ISBN: 978-1-68392-955-0
Verlag: De Gruyter

Buch, Englisch, 232 Seiten

This book is a fast-paced introduction to using data structures with Java. Numerous code samples and listings are included to support myriad topics. The first chapter contains a quick introduction to Java, along with Java code samples to check for leap years, find divisors of a number, and work with arrays of strings. The second chapter introduces recursion and uses code samples to check if a positive number is prime, to find the prime divisors of a positive integer, to calculate the GCD (greatest common divisor) and LCM (lowest common multiple) of a pair of positive integers. The third chapter contains Java code samples involving strings and arrays, such as finding binary substrings of a number, checking if strings contain unique characters, counting bits in a range of numbers, and how to compute XOR without using the XOR function. Chapters 4 through 6 include Java code samples involving search algorithms, concepts in linked lists, and tasks involving linked lists. Finally, Chapter 7 discusses data structures called queues and stacks, along with additional Java code samples. Features: - Extensive topics, code samples, and scripts related to data structures
- Covers strings, arrays, queues, and stacks, linked lists, computing the XOR function, checking for unique characters, and more
- Includes companion files with code samples from the book (available for downloading from the publisher)

Autoren/Hrsg.

Campesato, Oswald

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Objektorientierte Programmierung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

1: Introduction to Java2: Recursion and Combinatorics3: Strings and Arrays4: Search and Sort Algorithms5: Linked Lists (1)6: Linked Lists (2)7: Queues and StacksIndex

Über Autor(innen)

Campesato Oswald:
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python. He is the author/co-author of over forty-five books including Data Science Fundamentals Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning and Information).