Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems
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Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems
Algorithms Illuminated (Part 4) provides an accessible, no-nonsense introduction to algorithmic tools for tackling NP-hard problems.
Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems
Numéro d'article: 39881346

Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems

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Numéro d'article: 39881346

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Algorithms Illuminated (Part 4) provides an accessible, no-nonsense introduction to algorithmic tools for tackling NP-hard problems.
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Ce qui se démarque

NP-Hard Focus
Provides deep insights into algorithms specifically designed to tackle NP-Hard problems, essential for advanced computer science students and professionals seeking to enhance their problem-solving skills.
Comprehensive Approach
Covers a variety of algorithms in detail, helping users understand the nuances and applications of each, setting it apart from other textbooks that may provide surface-level information.
Real-World Applications
Illustrates how NP-Hard algorithms are applicable to real-life scenarios, enabling learners to appreciate their importance in diverse fields such as optimization, logistics, and artificial intelligence.

Détails du produit

Get the best deals on Algorithms Illuminated Part 4: Algorithms for NP-Hard Problems Paperback at Ubuy Martinique. Shop now and enjoy fast shipping!
  • Part 4 of the Algorithms Illuminated series
  • Accessible and programming language-agnostic introduction to algorithms
  • Includes hints or solutions to all quizzes and problems
  • Accompanied by a series of YouTube videos by the author
  • Covers algorithmic tools for tackling NP-hard problems
  • Techniques for quickly recognizing NP-hard problems in the wild
Publisher Soundlikeyourself Publishing, LLC
Publication date July 16, 2020
Language English
Print length 273 pages
ISBN-10 0999282964
ISBN-13 978-0999282960
Item Weight 13.9 ounces (394.07 grams)
Dimensions 6 x 0.62 x 9 inches (15.2 x 1.6 x 22.9 cm)
Book 4 of 4 Algorithms Illuminated

À qui est-ce destiné ?

Suitable For
  • Computer Science Students

    Ideal for students seeking a comprehensive understanding of NP-hard problems and algorithms in computer science.

  • Software Developers

    Beneficial for developers needing to optimize algorithms and tackle complex computational problems in development projects.

  • Researchers in AI

    Useful for those in artificial intelligence fields requiring insights into algorithmic complexities and problem-solving techniques.

Not Suitable For
  • Casual Learners

    Not suitable for casual learners due to its advanced content on complex algorithmic challenges requiring prior knowledge.

DESCRIPTION DU PRODUIT

Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems

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Questions et réponses des clients

  • question: What concepts are covered in Algorithms Illuminated Part 4?

    répondre: Algorithms Illuminated Part 4 delves into the complexity of NP-Hard problems, including various strategies for tackling these challenges. The book discusses approximation algorithms, heuristic methods, and advanced techniques such as integer programming and graph theory applications. By understanding these concepts, readers can apply the lessons to solve complex problems in fields like computer science and operations research, enhancing their ability to analyze and optimize difficult scenarios effectively.
  • question: Is Algorithms Illuminated Part 4 suitable for beginners?

    répondre: While Algorithms Illuminated Part 4 assumes a foundational knowledge of algorithms and complexity theory, it presents concepts in an approachable manner. Beginners may find value by first reviewing previous installments in the series, which lay the groundwork for the advanced topics covered here. This resource is particularly useful for computer science students or enthusiasts eager to deepen their understanding, providing a comprehensive introduction to challenging algorithms in intuitive, digestible segments.
  • question: How can Algorithms Illuminated Part 4 help programmers?

    répondre: For programmers, Algorithms Illuminated Part 4 offers invaluable insights into NP-Hard problems and their practical solutions. By learning about approximation techniques and heuristics, programmers can effectively tackle real-world problems that are otherwise computationally intensive. This knowledge can lead to improved algorithm design, optimizing code for performance in applications ranging from AI to data analysis, thus enhancing their software development skills and problem-solving capabilities.
  • question: What prior knowledge do I need to understand this book?

    répondre: To fully grasp the concepts in Algorithms Illuminated Part 4, a basic understanding of algorithms, data structures, and complexity theory is recommended. Familiarity with programming concepts and mathematical foundations will further facilitate comprehension. If you have a background in computer science or have engaged with related topics previously, you will be well-equipped to tackle the in-depth discussions on NP-Hard problems and their implications in algorithmic contexts.
  • question: Are there practical applications discussed in this volume?

    répondre: Yes, Algorithms Illuminated Part 4 features numerous practical applications of the discussed algorithms. Case studies and real-world examples illustrate how tackling NP-Hard problems is vital in areas such as network design, scheduling, and resource allocation. These illustrations not only highlight theoretical concepts but also demonstrate their relevance across various industries, providing readers with insights into how these algorithms can be employed effectively in technology and business environments.
  • question: Can I find problem sets or exercises in this book?

    répondre: Algorithms Illuminated Part 4 includes problem sets and exercises designed to reinforce the concepts presented. These challenges encourage readers to apply their understanding of NP-Hard problems and explore various solution strategies. Working through these exercises is beneficial for honing problem-solving skills and ensuring you can implement theoretical knowledge in practical scenarios, ideal for students and professionals looking to deepen their expertise.
  • question: Who is the author of Algorithms Illuminated Part 4?

    répondre: Algorithms Illuminated Part 4 is authored by Tim Roughgarden, a renowned computer scientist known for his contributions to algorithm design and game theory. His expertise lends credibility to the book, ensuring it is rich in theoretical insights while remaining accessible. His approachability makes complex topics understandable, aiding readers in grasping detailed content while also inspiring them to explore further into the realm of algorithms and their applications.
  • question: What is the target audience for this book?

    répondre: The target audience for Algorithms Illuminated Part 4 includes computer science students, professionals in programming, and anyone interested in advanced algorithmic concepts. It is particularly suited for those who have a foundational understanding of algorithms and seek to explore the complexities of NP-Hard problems. Whether for academic purposes or professional development, readers looking to enhance their analytical skills and apply algorithmic techniques will find this book immensely valuable.
  • question: How does this book compare to similar titles?

    répondre: Algorithms Illuminated Part 4 stands out from similar titles by providing an in-depth exploration of NP-Hard problems with a focus on practical applicability. Unlike some academic texts that may prioritize theory over application, this book balances both aspects, making it engaging and informative. It's designed for self-study, with clear explanations and illustrative examples that set it apart, making it a favorable choice for learners interested in comprehensive algorithm education.
  • question: Where can I buy Algorithms Illuminated Part 4: Algorithms for NP-Hard Problems?

    répondre: You can purchase Algorithms Illuminated Part 4: Algorithms for NP-Hard Problems through Ubuy in Martinique. Ubuy provides a convenient platform for accessing this insightful book, ensuring you can dive into the complexities of NP-Hard problems with ease. With Ubuy's user-friendly interface, you can easily find the book, explore additional resources, and enhance your algorithm knowledge effortlessly.

Discrete Mathematics Editorial Review

Algorithms Illuminated Part 4: Algorithms for NP-Hard Problems is a paperback book that was released on July 16, 2020. The book addresses various topics in solving NP-hard problems and has received positive reviews from readers. One reader commented that the book covers 100% of possibilities to work with NP-hard problems, but suggested having more real-life examples, specifically with frequencies. Another reader referred to the book as great and accessible, indicating that they had read it from stem to stern, and every single sentence was just right for its excellent logic. Overall, Algorithms Illuminated Part 4: Algorithms for NP-Hard Problems has been widely received and praised for its comprehensive coverage of NP-hard problems.

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Avantages

  • Comprehensive coverage of NP-hard problems
  • Excellent logic and accessibility

Les inconvénients

  • Lack of real-life examples, specifically with frequencies

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Caractéristiques et avantages

  • Part 4 of a series on algorithms
  • Accessible and programming language-agnostic
  • Includes hints or solutions to quizzes and problems
  • Accompanied by a series of YouTube videos
  • Covers heuristic algorithms, local search, dynamic programming, MIP and SAT solvers
  • Teaches techniques for quickly recognizing NP-hard problems

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Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.