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Design and Analysis of Algorithm
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Design and Analysis of Algorithm
Comprehensive coverage of algorithm design techniques and optimization.
Design and Analysis of Algorithm
Item #: 67185037

Design and Analysis of Algorithm

99% of respondents would recommend this to a friend

Item #: 67185037

DOP 4921

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Comprehensive coverage of algorithm design techniques and optimization.
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What Stands Out

Comprehensive Coverage
Includes in-depth exploration of various algorithms, ensuring a thorough understanding for students and professionals, making complex concepts accessible and applicable in real-world scenarios.
Practical Applications
Focuses on real-life use cases and problem-solving strategies, helping users apply theoretical knowledge effectively, enhancing their skills in algorithm design and analysis for competitive programming.
User-Friendly Format
Structured layout with clear explanations and visual aids, facilitating ease of learning for beginners and advanced learners alike, providing a seamless educational experience in algorithms.

Product Details

Find a wide selection of Design and Analysis of Algorithm books at Ubuy Dominican Republic. Shop now for the best deals and discounts on algorithm books.
  • Comprehensive taxonomy of algorithm design techniques
  • Covers topics such as red-black tree, graph algorithms, and binary search and sort algorithms
  • Includes techniques for optimization
  • Chapters on advanced data structures and design techniques
  • Discusses NP completeness and approximation algorithms
  • Provides thorough coverage of algorithm performance analysis
Publisher Alpha Science
Publication date January 30, 2017
Language English
Print length 428 pages
ISBN-10 1842658980
ISBN-13 978-1842658987
Item Weight 1.65 pounds (750 grams)
Dimensions 6.5 x 1.25 x 9.75 inches (16.5 x 3.2 x 24.8 cm)

Who Should Buy?

Suitable For
  • Computer Science Students

    Ideal for students seeking a deep understanding of algorithms to excel in academic courses and coding interviews.

  • Software Developers

    Beneficial for developers wanting to enhance problem-solving skills and learn efficient algorithms for software optimization.

  • Data Scientists

    Useful for data scientists needing to implement algorithms for data processing and machine learning model optimization.

Not Suitable For
  • Casual Learners

    Not suitable for those seeking a light introduction; requires serious commitment to understand complex concepts.

Product Description

Design and Analysis of Algorithm

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Customer Questions & Answers

  • Question: What is the main focus of this textbook?

    Answer: The main focus of this textbook is to provide an introduction to the field of algorithms and comprehensive coverage of algorithm design techniques.
  • Question: What topics are covered in this textbook?

    Answer: This textbook covers algorithm performance, red-black tree, graph algorithms, binary search, and sort algorithms.
  • Question: Are there any optimization techniques discussed in this textbook?

    Answer: Yes, this textbook provides techniques for optimization.
  • Question: Is this book suitable for beginners?

    Answer: Yes, this book is suitable for beginners as well as experienced programmers.
  • Question: Is the content up-to-date?

    Answer: Yes, the book covers modern algorithms and is up-to-date in its information.
  • Question: Does the book provide exercises for practice?

    Answer: Yes, the book includes exercises at the end of each chapter for practice and reinforcement.

Algorithms Editorial Review

Design and Analysis of Algorithm offers an in-depth exploration of algorithms, enhancing readers' understanding through comprehensive examples and applications. Published by Alpha Science, the book spans 428 pages and covers essential topics with clarity. It is in English and made accessible with dimensions of 6.5 x 1.25 x 9.75 inches, making it a suitable reference for students and professionals. Many readers appreciate its thorough approach, making complex concepts understandable. Additionally, its publication date of January 30, 2017, ensures the content is relatively recent within the field, reflecting current trends and methodologies in algorithmic design and analysis.

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Pros

  • Comprehensive coverage of algorithmic concepts
  • Well-structured with clear examples
  • Suitable for students and professionals
  • Recent publication reflects current trends
  • Accessible format and dimensions

Cons

  • Some readers may find it slightly dense for beginners

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DOP 4921

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Features & Benefits

  • Introduction to the field of algorithms
  • Powerful and intuitive taxonomy of algorithm design techniques
  • Discussion on algorithm performance
  • Coverage of red-black tree, graph algorithms, binary search, and sort algorithms
  • Techniques for optimization

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