Data Structures and Algorithms in C++, Second Edition 2nd Edition by Adam Drozdek (PDF)

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    Ebook Info

    • Published:
    • Number of pages:
    • Format: PDF
    • File Size: 27.02 MB
    • Authors: Adam Drozdek

    Description

    Building on widespread use of the C++ programming language in industry and education, this book provides a broad-based and case-driven study of data structures — and the algorithms associated with them — using C++ as the language of implementation. This book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms’ complexity. It presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. The book also closely examines data structure implementation and its implications on the selection of programming languages.

    User’s Reviews

    Reviews from Amazon users which were colected at the time this book was published on the website:

    ⭐This book was used in my Junior-level Advanced Data Structures and Algorithms course. This was the first semester that we used this book and people seemed to like it. Apparently, the old textbook for my class had too much code and not enough explaination. The author presents most of the algorithms in pseudo-code as apposed to a full implementation, but the code exaples are plentiful.This book will get you learning advanced topics in data structures and algorithms in no time. I learned a lot from this book, and read the first 10 chapters. The scope of topics discussed is large and is presented in top-down fashion. There were even several topic areas that we didn’t have time to spend on, like self-organizing lists, networks, self-balancing trees, data compression, and garbage collection.I was tempted to only give 4 stars in this review because there are a painful number of typos/errors in this text. I was usually able to see beyond the errors, but it made it more difficult than it should have been. A new edition should seriously address this.A full grasp of C++ is necessary to read through this book, but that should be given when studying general data structures and algorithms. A C++ reference will be very helpful when doing programming assignments because this is not a book on the language.This book will probably always be on my shelf. Even though all of the code is in C++, which is not eternal, it does not rely heavily on the language. Most of the algorithms are given in pseudo-code, and the data structures are developed independent of the laugage choice. I still plan on reading the sections that we skipped in class. I would recommend this text to any computer science student.

    ⭐This book spells out concepts pretty well. Makes c++ slightly less painful

    ⭐I had Weiss’s book on dsa in c++, and this book surpasses it in terms of clarity and accuracy (both books are comparable in breadth and depth). The previous reviewer fails to notice that this book is about data structures and algorithms, and not C++ (although having a C++ book next to this one couldn’t hurt either). So think of this book as a much better version of Weiss’s book.

    ⭐Best book on data structure algorithms. Even helpful for Java developers who worked on C++ long time ago(like me!). – examples are to the point – not complex – detailed description based on examples of how the alg works -the format of presenting examples are good.Altogether one of the best books for data structures and algorithms.

    ⭐As I’m teaching myself everything, I really needed a good book, that could both teach me everything and also be a reference later. The internet got me started but there wasn’t anywhere that provided a complete, expert and thorough coverage of the topic.I’m not sure why I picked this book, and now that I’m over half way through I can confirm it fits the criteria above. In it is all the essential structures and algorithms, but also lots of extras and bits of knowledge which have really got me interested. When transforming the data structure into code implementation, sometimes this can be difficult, especially with something like a B-tree or AVL-tree. However, Drozdek gives many coded examples, which are invaluable alongside psuedocode for understanding the concept. The diagrams are clear and useful, and the mathematical and complexity proofs mostly followable (although sometimes need a lot of thinking about!)This is not covering an easy subject, so often I’ll read through a chapter, thinking I’ve understood something but maybe not have got the whole picture. This is why the exercises and assignments are really important – many of them are hard and require thinking outside the box, but by doing them, you really know if you’ve understood something. They’re not just questions with answers in the chapter, they’re questions that require applying your knowledge and being inventive. So often, I actually learn more by answering the exercises and doing all the assignments than anything else.

    ⭐Wow what a nice book.

    ⭐:)

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