Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. Overall, I found that when confronted to real world problems, the "Algorithm Design Manual" was a better resource than other Algorithm books. Absolutely essential for a software engineer, Reviewed in the United States on April 16, 2013. What makes this books stand out is its first half. Welcome back. Reviewed in the United States on January 10, 2015. With minimal prerequisites and informal language, the book is accessible for a wide range of audience. * the source code and URLs for all cited implementations. However, the book falls short in providing a “surprise” factor as it lacks the build-up of good theoretical arguments. If you've been sentenced with the CLRS book (Introduction to Algorithms), buy this book in addition! Reviewed in the United States on January 4, 2019. Unless you already posses a solid foundation in related areas, a newbie will often find it hard to walk into this and immediately understand it. I bought Algorithm Design Manual recently and have only gone though first few chapters. I think I'd recommend this book over CLRS, although I could imagine a past version of myself being frustrated by the practical lack of detail. by Springer. Start by marking “The Algorithm Design Manual” as Want to Read: Error rating book. The book builds a way of thinking towards solving algorithms problems, instead of just stating the algorithms and data structures in a mechanical way, but in many parts it is not very clear and you have to read a passage multiple times to understand what the author meant. In fact, the author makes a point of mentioning in his preface that you will not find a single theorem in this book, and that the purpose of his book is to get working programmers up to speed quickly on both the generalities and specifics of algorithm design. Nonetheless. It is a great book but in my opinion (from what I have read so far): (1) it is no less dense than Cormen's. A. Also, all his example code is in C++. Not sure why this is listed as "abridged" but the number of pages matches the other listing for the item. The discussion on "the theory of NP-Completeness" left me behind, but I would return to that section as a reference. The second is a reference section, which incl. I have bought this book for "on the job" use and it is coming in very handy. The best of it how the Data structure themself are built and why they are built the way that it is. The Algorithm Design Manual by Steven S. Skiena provides a gentle introduction for people looking for a first course on Algorithms. I have notified Amazon of this problem and re-purchased and still received what I believe to be counterfeits due to the very poor quality of the color, binding, printing, and horrible misspellings on the back of the book in particular. Let us know what’s wrong with this preview of, Published Overall, I recommend the book as a complimentary guide for following along with an introductory algorithms course and as a reference manual given the extensive coverage of algorithms from various topics in section 2. Buyer beware! A good refresher, but with less depth than the classic CLR "Introduction to Algorithms" text.? Certainly worth a read. Prime members enjoy FREE Delivery and exclusive access to music, movies, TV shows, original audio series, and Kindle books. and fell apart rather easily. Reviewed in the United States on March 23, 2016. A unique and illuminating feature of this book is an extensive collection of "war stories" describing the author's personal experiences with applying these algorithmic tools in various circumstances (quite fascinating, and some a bit darkly humorous). This is a great book on the design of algorithms, emphasizing design over analysis. The book is a bit wordy and hard to read at times. You should have some previous knowledge of algorithms to enjoy it. Kindle version misses Answers to test questions, Reviewed in the United States on June 11, 2011, This kindled version is obsolete (refers to online materials that simply don't exist anymore). And maybe some will say that would be unrealistic, and I would be one of those. However, I actually have heard and seen others say exactly that, and again, I don't agree. For those computer science students and programmers who are put off by the style of "Introduction to Algorithms" by Cormen et al., this book is a good alternative. When you want to read a good introductory book about algorithms and data structures the choice comes down to two books: In comparison to "Introduction to Algorithms" (the other algorithm book I had significant exposure to) this one is faster to read, easier to digest and more tailored towards applications. There are many reasons I like this book more than other Algorithms books I own (e.g. Resend. Monday, January 8. This book fills a nice niche -- it is practical enough to be useful and accesible to professional programmers (rather than algorithms researchers or academics) but is build on solid theory as well. Great Content, Occasionally Out-of-Touch Author, Reviewed in the United States on April 22, 2020. Signup to submit and upvote tutorials, follow topics, and more. The first part introduces those topics we forgot as computer science majors; "The Big Oh notation"; data structures, and heuristic methods. CLRS has very firm technical descriptions, but The Algorithm Design Manual is simply much more enjoyable and provides a lot of the motivation for using some of the algorithms described in CLRS. I found it to be more of a reference book for looking up how to write an algorithm if you need one rather than learning well about a variety of algorithms. Great Content, Occasionally Out-of-Touch Author, Reviewed in the United States on April 22, 2020. I'd say it's a decent second book, as it has enough complexity, but it has a somewhat readable style. This is not an introductory book. I'd mildly recommend most of this book. This book is great! A very thorough book but I found that the explanations for most algorithms could have been better. Prime members enjoy FREE Delivery and exclusive access to music, movies, TV shows, original audio series, and Kindle books. This book is a practical, example-driven book on computer science algorithms, which is very readable and has a wealth of ready-to-use examples. The tutorial material in the first half of the book covers the essentials: data structures such as lists, arrays, stacks, queues, binary trees, etc. This combined with the availability of solutions (as a wiki) on the book website, immensely assist with self-study. However, many describe it as "introductory" algorithms, and I'm not sure I totally agree. For the matrix multiplication problem stated on p 403, it just refers to other people's work without giving anything concrete. Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. Algorithm Analysis Book Review - The Algorithm Design Manual by Steven S. Skiena 25 Feb 2020 With minimal prerequisites and informal language, the book is accessible for a wide range of audience. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. You can also ask questions or provide any information that might be helpful to the people taking this course. Sure I learned many during my B.Sc. This book is just a bit less academic and a bit more casual than the famous "Introduction to Algorithms" however it's all about applications. thereby the book does not provide a build-up to some of the great topics. What makes this books stand out is its first half. But if you've already had some exposure to CS-II/CS-III level concepts, then that is pretty helpful as well.
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