Data Structures and Algorithm Analysis (Java Edition)

Author: [USA] Shaofu
Publisher:
Publish Date: 2001-02-01
Features: As a companion to Data Structures and Algorithm Analysis in C++, this book adopts Java, a highly popular object-oriented programming language suitable for Internet environments, as the algorithm description language. It uses Java's interfaces (Interface) to define abstract data types, which is more natural than using C++ classes. The book organically integrates the principles of data structures and algorithm analysis techniques, systematically introducing various types of data structures and methods for sorting and searching. The author pays close attention to analyzing and comparing different storage methods for each data structure and related algorithms. The book also introduces some more advanced data structures and cutting-edge algorithm analysis techniques, as well as general knowledge of computability theory. The book is clear in concept, strong in logic, and innovative in content. It can serve as a textbook and reference book for students majoring in computer software and computer applications in colleges and universities, as well as a reference for computer engineering professionals. The book comprehensively covers the fundamental principles of data structures and algorithm analysis. Its focus is on teaching students the principles of selecting and designing the best data structures for solving specific problems; another focus is on including a large number of charts, examples for learning, projects, and practical exercises.
· All programming examples are written in Java, and the provided practical Java code covers all algorithms. Simple and clear examples written in Java are used to illustrate data structure concepts.
· For readers unfamiliar with Java, the book includes an appendix describing the necessary Java syntax and concepts to help readers understand the program examples.
· It covers related discussions on memory processing and disk-based processing, appropriately integrating and emphasizing both topics.
· Algorithm analysis techniques are presented throughout the book, closely tailored to the actual needs of programmers and undergraduates.
· Each data structure and algorithm is described with a cost-benefit analysis, enabling readers to thoroughly understand how to evaluate costs and benefits, including spatial comparisons, space/time costs, and the use of specialized data structures or algorithms.
This book is suitable for second or third-year students majoring in computer science-related fields.