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Algorithms Illuminated: Part 1: The Basics by [Roughgarden, Tim]

Algorithms Illuminated: Part 1: The Basics [Print Replica] Kindle Edition

by Tim Roughgarden (Author)

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Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and database system implementation. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject---a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. The exposition is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details.
Part 1 of the book series covers asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection.

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Algorithms Illuminated (2 Book Series)

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Product details

File Size: 12485 KB
Print Length: 218 pages
Simultaneous Device Usage: Unlimited
Publisher: Soundlikeyourself Publishing, LLC (September 25, 2017)
Publication Date: September 25, 2017
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B075YQP38X
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Amazon Best Sellers Rank: #22,461 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #2 in Kindle Store > Kindle eBooks > Computers & Technology > Programming > Algorithms
- #15 in Books > Computers & Technology > Programming > Algorithms
- #3010 in Kindle Store > Kindle eBooks > Nonfiction

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Roughgarden's teaching style changed my life!

January 26, 2018

Format: PaperbackVerified Purchase

Seriously... his algorithms courses on Coursera completely changed the way I looked at and thought about problems and concepts in computer science. The theoretical foundations he helped me establish even assisted me in landing my dream job straight out of university at one of the world's largest tech companies!

In my four years of undergrad computer science education I never once had a professor who was able to clearly distill the essence of algorithms and data structures, or even instill the motivation for why it's so important to master these concepts in the way that Roughgarden did.

What I loved the most about his teaching style was being walked through a curated list of the "greatest hits" of computer science while being shown what it was about those key insights about a certain algorithm or technique that could be exploited in a more general form to solve whole classes of similar problems. I think this is one of the things I've noticed lacking in a lot of modern education; the primitives are taught, but usually in an unimaginative format, and the mindset/ability to compose those primitives to solve more complex problems is never really cultivated.

My only advice for anyone working through this book is to have patience and be persistent. This style of analysis/thinking may be very different than what you're used to if your experience in the education system was anything like mine in North American public schools - but it will pay off. Roughgarden even recommends referring to the free lecture notes of Mathematics for Computer Science in the beginning of the book if you need a refresher. You can also find forums where you can discuss math topics all over the internet, use them!

I will be recommending this book to anyone who's looking to establish a more rigorous understanding of the foundational concepts of computer science. I'm confident that this series will eventually become known as one of the "greatest hits" in computer science literature : )

18 people found this helpful

Comment

Amazon Customer

Solutions to the problems are not provided

May 20, 2018

Format: Kindle EditionVerified Purchase

At the end of each chapter there is a comprehensive set of problems provided to help you verify that you understood the material. However unlike most books this one does not provide solutions for said problems. In investigating further on line, I found that The author purposefully omits the answers because the questions are the same as found in his coursera course.If the book was marketed as a companion to his coursea course, then that would be ok i suppose. However, the lack of solutions makes this book far less practical in my opinion. Would it have been so hard for the author to come up with the distinct problems for the book?
Because of the ommission, I have to mark it down to two stars

16 people found this helpful

Comment

Can’t wait for part 2

January 21, 2018

Format: Kindle EditionVerified Purchase

Like many people I’ve taken Tim’s algorithms course. It’s an excellent course so I bought the book sight unseen. I was a bit bummed to see no coverage of graph algorithms or dynamic programming. The book is listed in parts so that shouldn’t come as a surprise.

If you’re looking for specific material be sure to check the table of contents to see that it will be covered.

Overall, I can’t wait for more editions to be released.

8 people found this helpful

Comment

Rafael Espericueta

An excellent, clear intro to important concepts in the analysis of algorithms!

June 25, 2018

Format: PaperbackVerified Purchase

A very clear, well-written book, that I highly recommend. The author, Tim Roughgarden, has taught this material to Stanford computer science students for many years, and has been honing his exposition all the while. This has resulted in a masterful piece of writing. It is the first of what is to become a series of small texts that cover the same content as the Coursera Algorithms Specialization. Each of these texts will cover one of the courses in that specialization. I also recommend the Coursera lectures that go with this text. This book is thus ideally suited for individual study.

Comment

Superb teacher.

November 16, 2017

Format: PaperbackVerified Purchase

Tim Roughgarden pulls off the seemingly impossible. He actually teaches. The book closely follows the online course which is completely worth taking. The programming assignments are surprisingly challenging mostly because of the size of the datasets. The implementation has to be really tight, and even the language used matters. In some imaginary world every subject would have a Tim.

16 people found this helpful

Comment

Clear and effective

April 9, 2018

Format: PaperbackVerified Purchase

I took a graduate course on algorithms recently but I had not studied algorithms or data structures in years. I quickly realized that I remembered less than I thought I had. I used this book (and some of the videos from Dr. Roughgarden's class at Stanford) to get up to speed. His explanations are surprisingly clear and easy to understand. I would recommend this book and the forthcoming volumes for an introductory class or as a refresher for grad students/professionals.

One person found this helpful

Comment

Amazon Customer

No answers to end-of-chapter problems

May 28, 2018

Format: PaperbackVerified Purchase

I think that the book provides a great introduction to the topic, and I quite like how the author strikes the balance between theory and illustration of the concepts using concrete examples. That said, there is one major issue with this book -- the problems at the end of each chapter are essentially useless as there are no answers or even hints to verify that you have actually understood the topic. I find it particularly funny that the author calls these sections 'Test Your Understanding' and then does not provide the answers (what? :).

To be fair, you could ask for a hint in the discussion forum of the book, e.g. "I'm thinking that I should do x,y,z to solve the problem. Am I right?", but you will never know the final answer. The reason for such a policy is that the author also has a Coursera class and uses problems from the book there. Downside: I guess you will have to pay for the certificate version of the class to know the answers to the problems. Upside: it is helpful to watch him present the material on Coursera and then double down by reading the book.

In the end, I wish there was an explicit disclaimer about this situation. I hope that later issues of the book (and later books in the sequence) will have an independent set of problems.

5 people found this helpful

Comment

April 13, 2018

Format: PaperbackVerified Purchase

compact guide, written succinctly and straight to the point.

Comment

Most recent customer reviews

ARGTop Contributor: Pets

not accessible at least at the level the blurb lead me to expect

I won a free copy of this book from Goodreads First Reads.

This book isn't bad, but it is not accessible at least at the level the blurb lead me to expect.Read more

Published 22 hours ago

Very effective presentation of algorithmic thinking and some classical problems

This volume's slimness is deceptive: there is an amazing amount of thought that lie behind the discussion in this book.Read more

Published 3 days ago

To go with your none course

Purchased to go along with a Coursera course. The hook was good...certainly helpful. Grandson enjoyed the course.Read more

Published 4 months ago

Outstanding and an excellent reference for the content. Waiting for the next parts to be released.

Published 5 months ago

I have only started it, and I realize that I had never really though about how to multiply integers.
Lots of insights.

Published 5 months ago

Arrived on time and as promised.

Published 6 months ago

The gist and beauty of effective algorithms are communicated in easy to understand format, at the same time all the important de

Finally got this one on my book shelf next to the Knuth and Cormen. And anxiously waiting other parts from professor Roughgarden. This is a great book!Read more

Published 6 months ago

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