Carte Algorithm Design Manual Skiena

Algorithm Design Manual

Autor: Skiena, Steven S.
Limbă: engleză
Legare: Carte broșată
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
326.25 lei
"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design...

Informații despre carte

Autor
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2021
Pagini
793
EAN
9783030542580
ISBN
3030542580
Enbook ID
37260147
Greutate
1376
Dimensiuni
239 x 181 x 53

Descriere completă

"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ... graph problems are -- they should be part of every working programmer's toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. ... every 1 - pager has a simple picture, making it easy to remember. 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. ... 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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