Algorithm Design and Applications 1st Edition by Michael T. Goodrich (PDF)

Description

Introducing a NEW addition to our growing library of computer science titles, Algorithm Design and Applications, by Michael T. Goodrich & Roberto Tamassia! Algorithms is a course required for all computer science majors, with a strong focus on theoretical topics. Students enter the course after gaining hands-on experience with computers, and are expected to learn how algorithms can be applied to a variety of contexts. This new book integrates application with theory.Goodrich & Tamassia believe that the best way to teach algorithmic topics is to present them in a context that is motivated from applications to uses in society, computer games, computing industry, science, engineering, and the internet. The text teaches students about designing and using algorithms, illustrating connections between topics being taught and their potential applications, increasing engagement.

User’s Reviews

Editorial Reviews: From the Back Cover “This is a wonderful book, covering both classical and contemporary topics in algorithms. I look forward to trying it out in my algorithms class. I especially like the diversity in topics and difficulty of the problems.”ROBERT TARJAN, PRINCETON UNIVERSITY “The clarity of explanation is excellent. I like the inclusion of the three types of exercises very much.”MING-YANG KAO, NORTHWESTERN UNIVERSITY “Goodrich and Tamassia have designed a book that is both remarkably comprehensive in its coverage and innovative in its approach. Their emphasis on motivation and applications, throughout the text as well as in the many exercises, provides a book well-designed for the boom in students from all areas of study who want to learn about computing. The book contains more than one could hope to cover in a semester course, giving instructors a great deal of flexibility and students a reference that they will turn to well after their class is over.”MICHAEL MITZENMACHER, HARVARD UNIVERSITY “I highly recommend this accessible roadmap to the world of algorithm design. The authors provide motivating examples of problems faced in the real world and guide the reader to develop workable solutions, with a number of challenging exercises to promote deeper understanding.” JEFFREY S. VITTER, UNIVERSITY OF KANSAS DidYouKnow?This book is available as a Wiley E-Text. The Wiley E-Text is a complete digital version of the text that makes time spent studying more efficient. Course materials can be accessed on a desktop, laptop, or mobile device―so that learning can take place anytime, anywhere. A more affordable alternative to traditional print, the Wiley E-Text creates a flexible user experience: Access on-the-go Search across content Highlight and take notesSave money!The Wiley E-Text can be purchased in the following ways: Via your campus bookstore:Wiley E-Text: Powered by VitalSource®ISBN 9781119028796 *Instructors: This ISBN is needed when placing an order. Directly from: www.wiley.com/college/goodrich About the Author Michael T. Goodrich received his B.A. in Mathematics and Computer Science from Calvin College in 1983 and his PhD in Computer Sciences from Purdue University in 1987. Dr. Goodrich’s research is directed at the design of high performance algorithms and data structures for solving large-scale problems motivated from information assurance and security, the Internet, Bioinformatics, and geometric computing. He has pioneered and led research on efficient solutions to a number of fundamental problems, including sorting, convex hull construction, linear programming, privacy-preserving data access, network traceback, and data authentication.

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

⭐The seller of this product is just fine and if you need this book for a class I recommend buying here. It arrived in perfect condition and was considerably cheaper than buying from school or elsewhere. I get all of my college textbooks here, aside from math classes since they never include a working code for the online material. My big issue with this and many other math-related textbooks is the way that is written. I often feel like I have a solid understanding of the material but after reading at least the first few chapters, I feel like I know less than I did before I started. This was even reiterated by the professor who said that this was simply a supplement to the course and can be referenced for further help. Definitely a terrible read for me but it does go quite in-depth in the concepts. That being read my girlfriend with a masters in math didn’t have as much difficulty as I did but still felt some concepts were overcomplicated.

⭐I’ve got many books on my bookshelf on Algorithms, their design and applications – some of them are excellent, others I regret buying. I’ve not finished working through this text yet, but I firmly believe Goodrich and Tamassia have done a great job with this new book – its a welcome addition to my collection. What differentiates this book from the many others books on this subject matter? In my opinion; the flow of the text is simply well above average – this is hugely important because the subject matter is non trivial – the main ideas are clearly presented with excellent figures helping to illustrate points, examples are great – essentially learning becomes a pleasure. For the serious student, the exercises are engaging and rewarding, to get the most out of the text try as many of the exercises as you can – this investment in time in the subject matter will be time well spent. I’m stilling working through them at the time of writing.No doubt students of computer science will be the target audience for this book – its a great choice of book, and definitely on a par with classic texts from Kleinberg&Tardos, Cormen(et al) and Sedgwick. For professional software engineers who love the subject matter, like myself, it is a wonderful engaging book, well worth a look.Thanks

⭐Like other readers, the explanations could definitely be more open. For a book to assume a reader will know what they are talking about, would mean that the reader would obviously be familiar with the material in the book. This makes any Computer Science majors who may not have seen these concepts before wondering where everything is coming from. Proofs aren’t really well structured and could be made more clear and concise as to what is happening.When reading about the Red-Black Trees the red-black property could be explained better to say that the root of a RB tree is black, red nodes can not be adjacent, and every path from the NULL node to the root have the same number of black nodes. Rather than the confusing jargon that the authors have made it seem to be.Another thing about the book discussing Trees is that they put the NULL nodes there which can make the tree look more confusing and intimidating than it needs to be. AVL tree rotations could probably be seen better if the NULL nodes were omitted from the example to show what’s happening instead of cluttering up the example itself.The lack of a student companion website doesn’t help much as the book says homework hints are available there, yet the website says coming soon. So if you wanted help on a question you’re better Googling the question to see if someone is stuck like you. Rather than wait for whenever the website for students will finally be available.

⭐Explanations in Chapter 1 lack any real depth. Proofs are written without any formal structure and huge assumptions are made about the reader magically understanding them. Poor execution at Chapter 1. Explanation of Big O is unnecessarily complex, while the proofs are sparse. A prime example of educators misunderstanding what is obvious and what isn’t. I gave it a star because there are some interesting problems in the book, but the booksite doesn’t even load. You go to the page, it says “coming soon” WHEN EXACTLY? The books been long published. A lot of issues at chapter one, and confusing language in the explanations lead me to give it a 2 star review.

⭐Vague concepts and problems with no solutions online. Meaning you can’t check your work. I wouldn’t use this book for learning algorithms personally, though it is required for some classes

⭐The book had a different isbn number than advertised. It was a different print. That should have ben disclosed.

⭐Explanations aren’t clear as they could be. Overall it’s an okay book, but you cannot check your answers for correctness if you’re trying the problems on your own. This is a major pitfall for myself, I like to practice the material, check my understanding through the practice questions. If solutions are only available to “instructors”, this is not suitable for use outside of academia.

⭐Quite good book.Mathematically inclined folks will relish the preciseness the book offers.If you have good time to sit and read with PATIENCE, this book is VERY GOOD.Of course, many things could have been presented better by the authors to make the book a more lucid read. Can’t help..

⭐More accessible than the Cormen book (which is still fantastic). I found this really useful for understanding key algorithms and their paradigms.

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