Algorithms

I have quite a few algorithms books. This certainly is one of my favourites. The current edition starts out with a gentle introduction to motivation and basics, but soon ramps up to be a solid algorithms book. I recommend this as a first-read before moving on to the book by Cormen (which is much more theoretical and heavy going at first).

Overall I'd say its detailed and has a lot of content which is nice, as is the real code examples. Unfortunately I found some of the descriptions in the book bizarrely poor. For algorithms I already knew, many of which are not complicated to explain if proper care is taken, I paid particular attention to the explanations provided. In particular I was thinking about whether I'd have picked up the gist of the algorithm from the content. The answer is probably yes but with far more pain than should be necessary. In some cases this was because of very poor descriptions, in others it was because the choice of examples weren't great, and in other its because of the code (variable names i, j, k, v etc). The content was all technically correct but I just thought it often made a meal of explaining things. Anyway its definitely a good book but it definitely wasn't always an enjoyable read.

Good algorithm book. and the book will look much better if you take his free online course. Very very well formatted that will actually help you to visualize the process/steps of a given algorithm. Coverage was good and you can really get the classic algorithms.

This is one of the best books for learning algorithms

This book provides good introduction to about 40 most popular algorithms, good Java code example, use lots of graphs, coloured charts/graphs, easy to understand most of the times, question and answer section, exercises both in the book and online. There are more learning materials (slides, video, Java code, etc.) on the authors' website. Chapters 1.4 and 1.5 show analysis of algorithms. The focus of the book is on understanding and the ability to code algorithms. It's designed to skip maths if you choose to do so (High school math is required to understand basics). Last chapter touches topics of advanced level. Downsides 1. The downside is that the erratum for the 2012 printing version considering its 4th edition. 2. The book is easy to understand to some extent. But on some topics, the book is a bit bloated, and doesn't make it easy to see the main points. For example, I have to look up the internet for topic like Prim's algorithm. The link below provides explanation as to why for each step and summary at the end with three steps, which is easy to understand, and not available on the book. The video takes a few minutes to make you understand. Whereas, the book spend pages over pages that is hard to get the point for reader. The trace for each algorithm in the book should have added explanation for each step as to why to do that, so it would be easy to understand. [...] This is just one example the book lacks clear explanation for many algorithms. All in all, this is an excellent introductory book (Considering no other better at the moment). For the next level (e.g. analysis and design), consider Introduction to Algorithms when you have first/second year uni level math.

The best book in java algorithms. Brand new arrived on time

Book arrived in perfect condition.

Excellent!

If you want to digest different algorithms used in practice, then Sir Robert Sedgewick will help you out through this book. This book is a "must" if you are willing to learn and master over algorithms (focuses on Java implementations). I had referred this book when I was in college and was very much impressed by the way in which Sir Sedgewick explains. Paperback copy of this book is slightly expensive and moreover if you own a kindle, why go for a paperback edition?? Hence went ahead and purchased this kindle edition.

The book teaches algorithms with a scientific approach and there is no magic everything is proved. The code is simple and elegant. The author has also online course explaining the book content. There is also community driven GitHub repo containing answers to all book’s exercises. The only thing that I didn’t like is the absence of unit tests.

Le livre est excellent ! Une bonne ressource

The authors provide an clear and concise set of criterion for the use of algorithms in general, and then go about developing the basic set to use in daily development of your own. I got this book as a reference to assist newcomers and interns in their progress, but find myself referring to its contents frequently to remind myself of some foundational elements that have floated merrily away over the years. I would heartily recommend this book to everyone. For the student to learn the basic set of algorithms, for the entry and mid level software engineers (or programmers) to inspire new ideas from a solid foundation, and for us veterans as a reminder to a solid way for development of our own algorithms. It is well written, and easy to understand (even for the interns I've had read through it). The examples are developed around Java, and so the book starts with a section on Java and basic programming techniques. It contains a large set of the basic algorithms that are frequently necessary on a day to day basis, but also shows HOW and WHY they were developed. It also provides a section on several advanced topics, again with an eye to the HOWs and WHYs. All along the way, there are references to "Good" development foundations, and reminders the development philosophies.

Es un libro muy cuidado con un gran cantidad de ejercicios y sus soluciones. Todo informático debería conocer. La web es extraordinaria. Lo recomiendo encarecidamente, vale la pena.