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Algorithm Design Manual

Algorithm Design Manual "My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. graph problems are -- they should be part of every working…

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Springer Nature Switzerland AG

Specifikacia Algorithm Design Manual


Algorithm Design Manual

"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. graph problems are -- they should be part of every working programmer's toolkit. More than any other book it helped me understand just how astonishingly commonplace ...

every 1 - pager has a simple picture, making it easy to remember. The book also covers basic data structures and sorting algorithms, which is a nice bonus. ... This is a great way to learn how to identify hundreds of problem types." (Steve Yegge, Get that Job at Google) "Steven Skiena's Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. ...

Algorithm Design Manual patrí medzi produkty, ktoré ponúkajú vyvážený pomer kvality a ceny. V hornej časti stránky nájdeš hlavný prehľad, nižšie podrobné vlastnosti a technické parametre.

Every programmer should read this book, and anyone working in the field should keep it close to hand. ... This is the best investment ... a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education) "It is wonderful to open to a random spot and discover an interesting algorithm.

This is the only textbook I felt compelled to bring with me out of my student days.... The color really adds a lot of energy to the new edition of the book!" (Cory Bart, University of Delaware) "The is the most approachable book on algorithms I have." (Megan Squire, Elon University) --- This newly expanded and updated third edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.

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