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178272481
Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems
85% of respondents would recommend this to a friend
товар №:
178272481
KZT 15598
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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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What Stands Out
Comprehensive Coverage
Offers detailed insights into NP-hard problems, making complex algorithms accessible to learners and professionals aiming to deepen their understanding of computational challenges.
Practical Applications
Presents real-world scenarios and applications, providing readers with practical knowledge on how to approach and solve NP-hard problems effectively.
Enhanced Learning
Utilizes clear explanations and illustrative examples, fostering an engaging learning environment for self-studying readers and enhancing algorithmic skills.
Информация о продукте
- 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 |
Who Should Buy?
-
Computer Science Students
Ideal for students studying algorithms, especially those focusing on NP-hard problems and seeking deeper insights into complexities.
-
Data Scientists
Great for data scientists interested in optimization problems, helping them understand algorithms that solve complex real-world issues.
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Software Developers
Beneficial for developers needing efficient algorithm strategies, especially when working on projects involving computationally intensive tasks.
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Beginners
Not suitable for absolute beginners without a foundational understanding of algorithms, as it dives into advanced topics.
ОПИСАНИЕ ТОВАРА
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Вопросы и ответы клиентов
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вопрос:
What concepts are covered in Algorithms Illuminated Part 4?
отвечать: 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. -
вопрос:
Is Algorithms Illuminated Part 4 suitable for beginners?
отвечать: 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. -
вопрос:
How can Algorithms Illuminated Part 4 help programmers?
отвечать: 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. -
вопрос:
What prior knowledge do I need to understand this book?
отвечать: 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. -
вопрос:
Are there practical applications discussed in this volume?
отвечать: 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. -
вопрос:
Can I find problem sets or exercises in this book?
отвечать: 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. -
вопрос:
Who is the author of Algorithms Illuminated Part 4?
отвечать: 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. -
вопрос:
What is the target audience for this book?
отвечать: 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. -
вопрос:
How does this book compare to similar titles?
отвечать: 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. -
вопрос:
Where can I buy Algorithms Illuminated Part 4: Algorithms for NP-Hard Problems?
отвечать: You can purchase Algorithms Illuminated Part 4: Algorithms for NP-Hard Problems through Ubuy in Kazakhstan. 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" has garnered positive attention from readers seeking a comprehensive understanding of complex computational challenges. The book is praised for its clarity and logical structure, providing clear insights into NP-hard problems through well-crafted explanations. Readers appreciate the depth of content and the authors’ ability to present complex topics in an accessible manner, making it a valuable resource for both novices and experienced practitioners in the field. The inclusion of industry-specific case studies particularly resonates with readers, enhancing the relevance of theoretical concepts to real-world applications. However, some reviewers express a desire for more practical examples that illustrate the frequency of these problems in everyday scenarios. Despite this minor critique, the overall reception is highly favorable, with many asserting that the book successfully covers a broad range of possibilities concerning NP-hard problems. Overall, "Algorithms Illuminated (Part 4)" stands out as a well-regarded text, balancing technical rigor with clear, engaging writing. Those interested in algorithmic challenges will find this book a thoughtful and enriching read. **Pros and Cons:** **
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Плюсы
- Clear and logical structure, making complex topics accessible.
- Well-explained content suitable for both beginners and experienced readers.
- Includes relevant industry-specific case studies.
- Highly praised for its thorough coverage of NP-hard problems.
Минусы
- Some readers wish for more real-life examples to further illustrate concepts.
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Особенности и преимущества
- 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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