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The Algorithm Design Manual

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It is really intended as a set of pointers to get you started on where to look up details for approaches to a particular problem, and in that respect succeeds quite well (and has a lot of up-to-date references). this book is suitable as a text for an undergraduate algorithms class, but also as an invaluable reference for the practicing programmer. Unlike other algorithm books that I have the algorithms are written independent of any programming language. I used the "introductory" adjective earlier as this is supposed to be an introductory book on the topic. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference.

With its aid, most programmers could go from writing code that merely works to writing code that is thousands of times more efficient and reliable: this book will earn some people fortunes. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. In short, this is a book every decent programmer should read at least once, besides it works also as a algorithms/data structures encyclopedia that always comes handy. Data Structures: Repeatedly extracts the smallest remaining element from the unsorted part of the set but will take a total of O(n 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 second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. The fact that this book focuses on working source code in examples (as opposed to just pseudo-code) makes it extremely useful for drilling for programming interviews.

I've found that a lot of computer programming is easy if you just know the name of thing you need to Google. It has all the right ingredients: rich contents, friendly, personal language, subtle humor, the right references, and a plethora of pointers to resources. One of Skiena's "war stories" tells of making a program run 30,000 times faster by using a better-designed algorithm. This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Skiena covers this varied field with a mix of humour and wisdom, and he provides an excellent array of references, online code and other resources for everything he touches on.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.

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