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Learn Advanced Data Structures with C++: Anuradha A. Puntambekar's Book Review and Free PDF


Advanced Data Structures by Puntambekar PDF Free: A Comprehensive Review




If you are a computer science student or a professional who wants to learn more about advanced data structures, you might be interested in reading the book Advanced Data Structures by Anuradha A. Puntambekar. This book is a comprehensive and up-to-date guide to various types of data structures and their applications, using C++ syntax and structure in the design and implementation. In this article, we will review the book and show you how to get it for free in PDF format.




advanced data structures by puntambekar pdf free



What are advanced data structures?




Data structures are ways of organizing and storing data in a computer memory, so that they can be accessed and manipulated efficiently. Data structures can be classified into two categories: linear and non-linear. Linear data structures are those that store data in a sequential manner, such as arrays, lists, stacks, and queues. Non-linear data structures are those that store data in a hierarchical or networked manner, such as trees, graphs, heaps, and hash tables.


Advanced data structures are those that are more complex and sophisticated than the basic ones, and that can handle more specialized problems and operations. They are usually based on some modifications or extensions of the basic data structures, or on some combinations of them. Advanced data structures can offer better performance, functionality, or flexibility than the basic ones, depending on the context and requirements of the problem.


Why are they important for computer science students and professionals?




Advanced data structures are important for computer science students and professionals because they can help them solve more challenging and realistic problems in various domains of computer science, such as algorithm design, computational geometry, database systems, artificial intelligence, machine learning, natural language processing, cryptography, and more. By learning advanced data structures, students and professionals can improve their analytical and problem-solving skills, as well as their coding proficiency and efficiency.


What are some examples of advanced data structures?




There are many examples of advanced data structures, each with its own advantages and disadvantages. Here are some of the most common ones:


Search trees




Search trees are tree-based data structures that allow fast searching, insertion, deletion, and traversal of ordered data. They can be used to implement dictionaries, sets, maps, priority queues, and more. Some examples of search trees are binary search trees (BSTs), balanced search trees (such as AVL trees, red-black trees, splay trees), optimal binary search trees (OBSTs), B-trees, B+-trees, trie trees, kd-trees, etc.


Interval trees




Interval trees are tree-based data structures that store intervals (or segments) of data, and support efficient queries on them, such as finding all intervals that overlap with a given point or interval, finding the interval that contains a given point, finding the minimum or maximum interval, etc. They can be used to solve problems involving scheduling, geometry, bioinformatics, and more. Some examples of interval trees are segment trees, range trees, interval skip lists, etc.


Heaps




Heaps are tree-based data structures that store data in a partially ordered manner, such that the root node has the minimum or maximum value among all the nodes, and each child node has a value smaller or larger than its parent node. They can be used to implement priority queues, sorting algorithms, selection algorithms, median finding algorithms, and more. Some examples of heaps are binary heaps, binomial heaps, Fibonacci heaps, pairing heaps, etc.


Union-find structures




Union-find structures are data structures that maintain a collection of disjoint sets, and support two main operations: union (merging two sets into one) and find (finding the representative or identifier of a set). They can be used to implement graph algorithms, such as finding connected components, minimum spanning trees, etc. Some examples of union-find structures are disjoint-set forests (with path compression and union by rank heuristics), dynamic trees (such as link-cut trees), etc.


Data structure transformations




Data structure transformations are techniques that modify or transform one data structure into another one, to achieve better performance or functionality. They can be used to optimize or adapt data structures for different scenarios or applications. Some examples of data structure transformations are dynamization (making a static data structure dynamic), persistence (making a data structure immutable or versioned), retroactivity (making a data structure reversible or undoable), etc.


Data structures for strings




Data structures for strings are data structures that store strings (or sequences of characters) and support various operations on them, such as searching, matching, indexing, compression, encryption, etc. They can be used to solve problems involving text processing, pattern matching, information retrieval, natural language processing, cryptography, and more. Some examples of data structures for strings are suffix trees, suffix arrays, compressed suffix arrays, prefix trees (or tries), Patricia trees (or radix trees), Bloom filters, Ziv-Lempel compression schemes (such as LZ77 and LZ78), etc.


Hash tables




Hash tables are data structures that store key-value pairs in an array-like structure, and use a hash function to map each key to an index in the array. They can be used to implement dictionaries, sets, caches, counters, and more. Some examples of hash tables are open addressing schemes (such as linear probing, quadratic probing, double hashing), chaining schemes (such as separate chaining with linked lists or arrays), cuckoo hashing schemes (such as cuckoo hashing with two or more hash functions), perfect hashing schemes (such as FKS scheme or Cuckoo filter), etc.


What is the book Advanced Data Structures by Puntambekar about?




The book Advanced Data Structures by Anuradha A. Puntambekar is a textbook that covers most of the advanced data structures mentioned above in detail. It is intended for undergraduate and postgraduate students of computer science and engineering who want to learn the theory and practice of advanced data structures. It is also useful for professionals who want to refresh their knowledge or learn new concepts and techniques in this field.


Who is the author?




The author of the book is Prof. Anuradha A. Puntambekar. She is an assistant professor in Vishwakarma Institute of Technology (VIT) and PES Modern College of Engineering in Pune. She has over 20 years of teaching experience and has authored several books on computer science topics such as data structures, algorithms, compiler design, automata theory, operating systems, etc. She is also an active member in framing the university syllabus for computer science courses.


What are the main topics covered in the book?




The book consists of six units that cover the following topics:



  • Unit 1: Non-linear data structures such as trees and graphs



  • Unit 2: Hashing methods and collision handling techniques



  • Unit 3: Search trees such as AVL trees, OBSTs, B-trees, B+-trees



  • Unit 4: Multiway trees such as trie trees, red-black trees



  • Unit 5: Advanced tree structures such as interval trees



  • Unit 6: File organization techniques such as sequential files and index files



What are the features and benefits of the book?




The book has several features and benefits that make it a valuable resource for learning advanced data structures. Some of them are:



  • It provides a solid introduction to algorithms and data structures using C++ syntax and structure.



  • It helps the students to make the transition from fundamentals of data structures to an advanced level of data structures and their applications.



  • It covers a wide range of advanced data structures with sufficient examples and programming illustrations.



  • It explains the complex concepts in a simple and lucid manner.



  • It includes review questions, exercises, and university question papers at the end of each unit for practice and revision.



  • It is updated with the latest developments and trends in the field of data structures.



How to get the book Advanced Data Structures by Puntambekar PDF free?




If you are interested in getting the book Advanced Data Structures by Puntambekar PDF free, you might be wondering how to do that legally and safely. Here are some options you can consider:


Is it legal to download the book for free?




The answer to this question depends on the copyright status of the book and the source from which you download it. Generally speaking, it is legal to download a book for free if:



  • The book is in the public domain, which means that its copyright has expired or has been waived by the author.



  • The book is licensed under a Creative Commons or similar license, which allows free distribution and use of the book with some conditions.



  • The book is offered for free by the author or publisher on their official website or platform.



However, it is illegal to download a book for free if:



  • The book is protected by copyright and has not been authorized for free distribution by the author or publisher.



  • The book is obtained from an unauthorized or pirated source that violates the rights of the author or publisher.



Therefore, before downloading any book for free, you should always check its legal status and source carefully. You should also respect the rights and wishes of the author or publisher, and support them by buying their books if you can afford them.


What are some reliable sources to get the book for free?




If you are looking for some reliable sources to get the book Advanced Data Structures by Puntambekar PDF free, here are some suggestions:



  • You can try to find the book on Google Books, which is a service that allows you to search and preview millions of books online. Some books are fully available for free, while others are partially available or require payment. You can search for the book by its title, author, ISBN, or keywords. If you find the book on Google Books, you can read it online or download it as a PDF file.



  • You can also try to find the book on Library Genesis, which is a website that provides access to millions of books and articles for free. You can search for the book by its title, author, ISBN, or keywords. If you find the book on Library Genesis, you can download it as a PDF file or view it online. However, you should be aware that Library Genesis may not be legal in some countries or regions, and may contain some pirated or unsafe content. Therefore, you should use it at your own risk and discretion.



  • Another option is to look for the book on Open Library, which is a project that aims to create a web page for every book ever published. You can search for the book by its title, author, ISBN, or keywords. If you find the book on Open Library, you can borrow it as an ebook or read it online. However, you may need to create an account and join a waiting list to access some books.



What are some alternatives to getting the book for free?




If you are unable to get the book Advanced Data Structures by Puntambekar PDF free from any of the sources mentioned above, or if you prefer not to download it for free for ethical or legal reasons, here are some alternatives you can consider:



  • You can buy the book from online platforms such as Amazon, Flipkart, or Snapdeal, where you can find new or used copies of the book at reasonable prices. You can also compare the prices and reviews of different sellers and choose the best option for you.



  • You can also rent the book from online platforms such as Chegg, BookRenter, or Campus Book Rentals, where you can find affordable and flexible rental plans for the book. You can choose the duration and delivery method of the rental, and return the book when you are done with it.



  • Another option is to borrow the book from a library near you, where you can find physical or digital copies of the book for free or for a nominal fee. You can search for the book on WorldCat, which is a catalog of libraries around the world. You can also check the availability and location of the book on the library's website or app.



Conclusion




In this article, we have reviewed the book Advanced Data Structures by Puntambekar, which is a comprehensive and up-to-date guide to various types of data structures and their applications. We have also shown you how to get the book for free in PDF format, as well as some alternatives to getting it for free. We hope that this article has been helpful and informative for you, and that you will enjoy reading and learning from the book.


FAQs




Here are some frequently asked questions about the book Advanced Data Structures by Puntambekar:



  • What is the ISBN of the book?



The ISBN of the book is 978-93-90234-94-9.


  • How many pages does the book have?



The book has 510 pages.


  • What is the publication date of the book?



The book was published on December 1, 2020 by Technical Publications.


  • Who is the target audience of the book?



The book is intended for undergraduate and postgraduate students of computer science and engineering who want to learn advanced data structures. It is also useful for professionals who want to refresh their knowledge or learn new concepts and techniques in this field.


  • What are some other books on advanced data structures?



Some other books on advanced data structures are:


  • Data Structures and Algorithms in C++ by Adam Drozdek



  • Data Structures and Algorithm Analysis in C++ by Mark Allen Weiss



  • Data Structures: A Pseudocode Approach with C++ by Richard F. Gilberg and Behrouz A. Forouzan



  • Data Structures Using C++ by D.S. Malik



  • Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles by Narasimha Karumanchi



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