Data Structures and Algorithm Analysis in C++ - Fourth Edition

Sep 3, 2026

This document is the fourth edition of the textbook "Data Structures and Algorithm Analysis in C++" by Mark Allen Weiss. It provides a comprehensive treatment of data structures and algorithm analysis, focusing on their implementation and theoretical underpinnings in the C++ programming language. The book aims to equip readers with the knowledge and skills to design efficient algorithms and choose appropriate data structures for various computational problems. It covers fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs, along with their associated algorithms. A significant portion of the book is dedicated to algorithm analysis, including the study of time and space complexity, recurrence relations, and various algorithmic paradigms like divide and conquer, dynamic programming, and greedy algorithms. The text emphasizes practical application through C++ code examples and exercises, enabling students and professionals to develop a strong foundation in computer science principles and their application in software development. The content is structured to provide a clear understanding of how data structures and algorithms are fundamental to creating efficient and scalable software solutions.

LanguageEnglish

CategoryGeneral

FormatPDF

Pages654

Reading Time3 h 49 min

AccessFree to download

Data Structures & Algorithm Analysis in C++

Introduction to Data Structures and Algorithms

Analysis of Algorithms

Elementary Data Structures

More Advanced Data Structures

Sorting

Hashing

Graphs

FAQs

What is the primary focus of this book?

The book's primary focus is on data structures and algorithm analysis, specifically within the context of the C++ programming language.

What fundamental data structures are covered?

The book covers fundamental data structures including arrays, linked lists, stacks, queues, trees (such as binary search trees, AVL trees, and B-trees), and graphs.

What are the key topics in algorithm analysis discussed in the book?

Key topics in algorithm analysis include time and space complexity, recurrence relations, and asymptotic notation, as well as various algorithmic paradigms like divide and conquer, dynamic programming, and greedy algorithms.

Sep 3, 2026

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