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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
artikal br.: 39881346

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

artikal br.: 39881346

RSD 3396

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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

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.

Детаљи о производу

Get the best deals on Algorithms Illuminated Part 4: Algorithms for NP-Hard Problems Paperback at Ubuy Serbia. 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

Who Should Buy?

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.

OPIS PROIZVODA

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

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  • Pitanje: Како купити Algorithms Illuminated (Part 4): Algorithms for на мрежи од Убуи-а?

    Odgovor: Лако је куповати Algorithms Illuminated (Part 4): Algorithms for на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију.
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    Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Algorithms Illuminated (Part 4): Algorithms for није доступан локално, али можете нам веровати у наше услуге експресне испоруке.
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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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Прос

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

Цонс

  • Lack of real-life examples, specifically with frequencies

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