"Data Structures and Algorithm Analysis in C++" is a comprehensive and highly informative guide that delves into the world of data structures, methods of
... [Show More] organizing large amounts of data, and algorithm analysis. In today's fast-paced technological landscape, the need for efficient programs capable of handling massive data inputs has become more crucial than ever. This book addresses this demand by providing a thorough exploration of programming efficiency and algorithm design.
Written with clarity and precision, the book takes a language-independent approach, but focuses on the utilization of C++ programming language. C++ has emerged as a leading systems programming language, offering powerful constructs like classes and templates for implementing generic data structures as abstract data types.
The material is presented in an object-based approach, emphasizing class templates to describe generic data structures. The book carefully balances the inclusion of essential C++ features without overwhelming readers with unnecessary complexity. It utilizes the vector and string classes, which are now standard in C++, and provides complete versions of data structures in both C++ and Java to highlight the similarities between the two languages.
The fourth edition incorporates numerous updates, bug fixes, and revisions to enhance the clarity of presentation. Notable additions include implementation of the AVL tree deletion algorithm, coverage of newer algorithms such as cuckoo hashing and hopscotch hashing, discussion of universal hashing and unordered_set and unordered_map class templates in C++11, introduction of radix sort and lower-bound proofs in sorting algorithms, and an updated analysis of the disjoint set algorithm.
Each chapter covers a specific topic, starting with a review of discrete math and recursion, followed by algorithm analysis, lists, stacks, queues, trees, hash tables, priority queues, sorting, graph algorithms, algorithm design techniques, amortized analysis, and search tree algorithms. The book concludes with a detailed exploration of suffix trees and arrays, k-d trees, and the pairing heap.
The inclusion of exercises at the end of each chapter provides ample opportunities for readers to reinforce their understanding and test their knowledge. The book also includes references for further reading, supplements such as source code and solutions to selected exercises, and acknowledgments to those who contributed to its creation.
With its comprehensive coverage, clear explanations, and practical examples, "Data Structures and Algorithm Analysis in C++" is suitable for advanced data structures courses, first-year graduate courses in algorithm analysis, and self-study by individuals seeking to enhance their programming and algorithm analysis skills. Whether you are a student, programmer, or educator, this book equips you with the necessary tools to develop efficient programs and analyze algorithms effectively. [Show Less]