Welcome
This section states the purpose of the guide, provides details about the author, and references any external sources utilized.
This section states the purpose of the guide, provides details about the author, and references any external sources utilized. This study helper provides solutions for exercises from the book Introduction to Analysis of Algorithms, Second Edition considering errata reported on the book's website.
This publication provides self-learners with solved items from the book. It aims to address the absence of instructor-based experience. Serving as a companion to the main book, it expands on the content by offering extra background information and complementary perspectives useful in solving exercises/problems and developing practical applications. Many dedicated competitive programming and interview preparation sites have problems similar to those in the main book. In these situations, solutions to those external problems will be also given. Exercises and problems are quintessential for successfully mastering the topic of the book. Therefore, none of them should be skipped.
Several exercises are adorned with a star highlighting their importance. They either introduce new topics not explicitly mentioned in the book and/or generalize approaches that were exemplified in the text. They should be regarded as reference material alongside theorems from the book.
Most programs are written in Python 3, which is perfectly suitable for quick prototyping, experimentation and exploratory analysis. The book Introduction to Programming in Python gives all the background information for understanding the snippets in this study helper.
About me
After many years of teaching as a university professor, I think, that flipped classrooms are invaluable for students to master a course topic. In this regard, instructors should take an active role in publishing additional learning materials for popular books, to make them truly self-contained. Leaving learners to separate the wheat from the chaff among myriad of publicly available stuff is not going to work. This is what has motivated me to embark on this book helper project. Despite all my efforts to eliminate errors from the text, I am pretty sure some has survived my scrutiny. If you find any, or would like to collaborate on this or similar project, please, don't hesitate to contact me via email at e.varga@ieee.org.
License Information
Study Helper for Introduction to Analysis of Algorithms © 2025 by Ervin Varga, Ph.D. is licensed under CC BY-NC 4.0 
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