Data Structures and Algorithm Analysis in Java (3rd Edition)

This book is a widely used classic textbook in the field of data structures and algorithm analysis abroad. Using Java as the unified implementation language, it runs two main threads throughout: how data is organized, and why algorithms are efficient. It opens with mathematical foundations and algorithm complexity analysis, introducing big-O notation, running-time estimation, and methods for solving recurrences. It then covers abstract data types, lists, stacks and queues, trees (binary trees, search trees, AVL trees, splay trees, B-trees), hashing, heaps and priority queues, various implementations of sets and maps, and detailed analyses of sorting algorithms and graph algorithms. While retaining the original framework, the third edition revises details such as AVL tree deletion and adds new content including cuckoo hashing, hopscotch hashing, radix sort, and suffix trees and suffix arrays. The book emphasizes analyzing an algorithm's running time before writing code, and includes numerous sample programs and exercises that explain both implementation ideas and the sources of efficiency. It is suitable as a textbook for university courses on data structures and algorithms, and also for developers with a Java background who want to systematically fill gaps in their knowledge of data structures.