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Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems
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KGS 2648
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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
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?
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Computer Science Students
Ideal for students studying algorithms, especially those focusing on NP-hard problems and seeking deeper insights into complexities.
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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.
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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:** **
Customer Reviews & Ratings
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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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KGS 2648
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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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