Algorithms

Spiega in modo unico davvero, ne ho letti diversi di testi di algoritmi, penso che questo sia il migliore in assoluto!

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.

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.

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).