Algorithms, (Hardcover)
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Algorithms, (Hardcover)
These algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code.
Algorithms, (Hardcover)
товар №: 39564923

Algorithms, (Hardcover)

88% of respondents would recommend this to a friend

товар №: 39564923

KZT 48557

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These algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code.
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What Stands Out

Comprehensive Coverage
This hardcover edition provides an in-depth exploration of algorithms, making complex concepts accessible for students and professionals, ensuring thorough understanding and practical application.
Structured Learning
Organized into clear, concise chapters, readers can easily navigate through various topics, facilitating effective self-study and enhancing learning efficiency.
Real-World Applications
Includes practical examples and case studies that demonstrate how algorithms solve real-world problems, equipping readers with invaluable skills for their careers and academic pursuits.

Информация о продукте

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  • Leading introduction to computer algorithms by Princeton Computer Science professors Robert Sedgewick and Kevin Wayne
  • Provides a full treatment of data structures and algorithms for key areas
  • Covers basic programming models, data abstraction, sorting, graphs, strings, and data compression
  • Includes fifty important computer algorithms for various applications
  • Algorithms are expressed in just a dozen or two lines of code
  • Enables the construction of computational artifacts, solution of scientific problems, and development of commercial applications
Book formatHardcover
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateMarch, 2011
Pages976
Reading levelProfessional & Vocational
SubgenreProgramming
Series titleNo Series
Edition4th revised Edition
PublisherPearson Education
Original languagesEnglish
LanguageEnglish
Is collectibleN
Binding typeCase Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)7.40 x 1.40 x 9.10 in (18.8 x 3.6 x 23.1 cm)
Assembled product weight3 lb (1.36 kg)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • Computer Science Students

    Ideal for students looking to grasp fundamental and advanced algorithm concepts for academic and practical applications.

  • Software Developers

    Great reference for developers needing a solid understanding of algorithms to improve problem-solving skills in coding.

  • Data Scientists

    Useful for data professionals focusing on algorithmic techniques for data analysis, machine learning, and statistical modeling.

Not Suitable For
  • Casual Learners

    May be too technical for those seeking light reading or basic introductions to computer science concepts.

ОПИСАНИЕ ТОВАРА

Algorithms, (Hardcover)

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Robert Sedgewick All Books Editorial Review

Algorithms, (Hardcover) is an extensive exploration of computing principles published in March 2011. This 4th revised edition is a meticulously crafted non-fiction book that spans 976 pages, making it a comprehensive resource for professionals and vocational readers interested in programming and internet computing. Despite being a hefty volume, its case binding and reasonably sized dimensions ensure durability and usability. The book is published by Pearson Education and is written in English, targeting readers at a professional level. With its in-depth content, this book is a valuable asset for anyone looking to deepen their understanding of algorithms.

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Плюсы

  • Comprehensive resource for professionals
  • Meticulously crafted non-fiction
  • Durable case binding for longevity
  • Focused on programming and computing
  • Extensive 976 pages of content

Минусы

  • May be too lengthy for casual readers

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KZT 48557

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Особенности и преимущества

  • Leading introduction to computer algorithms
  • Includes fifty algorithms every programmer should know
  • Full treatment of data structures and algorithms
  • Enables confident implementation in any computational environment
  • Algorithms can be expressed in just a dozen or two lines of code

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