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The Algorithm Design Manual

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By using the Web site, you confirm that you have read, understood, and agreed to be bound by the Terms and Conditions. Unlike other algorithm books that I have the algorithms are written independent of any programming language. The second half of the book is collection of short essays on various kinds of problems and sketches of techniques to handle them. probably a better book to carry around in one's professional life than CLR, though it lacks some of the theoretical intensity of the Big White Book.

If I were to go back in time, I'd probably pick either a 100% practical Algo book or something like CLRS for very rigorous understanding. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. The list of implementations [and] extensive bibliography make the book an invaluable resource for everyone interested in the subject. A must read for any computer scientist, student or educator, who likes to invest more in ideas than the actual details. and so one should probably have a more rigorous book at hand to fill in some details when necessary.This is very useful for gaining a broad overview of what tools are available, though the coverage can be somewhat brief (e. Every programmer should read this book, and anyone working in the field should keep it close to hand. This second edition has updated the bibliography to include recent works, making it an extensive bibliography.

If you want to use it as a course textbook then there are lots of exercises at the end of every chapter. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms.

The book’s unique structure makes it more likely to be immediately useful to the practitioner who has problem to solve and wants to quickly make progress … . I found the "Hitchhiker's Guide to Algorithms" in the back to be extremely useful if you really find yourself tackling an algorithmic problem in practice. Every programmer should read this book, and anyone working in the field should keep it close to hand - The Algorithm Design Manual is not just for use on university courses. 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.

Each of the topics is treated in a readable informal style with lots of asides and accounts of personal experiences - ‘war stories’ in implementing algorithms. While computers have speeded up enormously in the past ten years - and expensive supercomputers can speed things even more - a bit of thought might speed up a program by much higher factors (or you can avoid thinking altogether by stealing one of the tried-and-trusted algorithms in the guide). I read the first edition of this book back in University and bought a new copy for my girlfriend who's learning programming, it's as good as I remembered. The main part (maybe skipping/skimming down a few chapters) is a very good preparation for algorithm-heavy job interviews (e.In a mature ecosystem like Python, a lot of the time the right answer is just "pip install magiclib. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms.

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