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

Description

Book Synopsis: Fourth book in a series that provides an accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Includes hints or solutions to all quizzes and problems, and a series of YouTube videos by the author accompanies the book. Part 4 covers algorithmic tools for tackling NP-hard problems (heuristic algorithms, local search, dynamic programming, MIP and SAT solvers) and techniques for quickly recognizing NP-hard problems in the wild.

Details

Looking to expand your knowledge of algorithms and tackle the most challenging problems? Look no further than Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems. This fourth installment in the acclaimed series is your ultimate guide to understanding and solving NP-hard problems with ease.

With its accessible language and comprehensive approach, Algorithms Illuminated (Part 4) is designed to make complex algorithmic concepts easy to grasp. Whether you're a beginner or an experienced programmer, this book caters to all skill levels and provides a language-agnostic introduction to algorithms.

But this book isn't just about theory. It goes a step further by including hints and solutions to all quizzes and problems, ensuring you have a deep understanding of the content. Additionally, the author provides a series of YouTube videos that complement the book, offering a multimedia learning experience.

In Algorithms Illuminated (Part 4), you'll delve into algorithmic tools that will equip you to tackle even the toughest NP-hard problems. Discover heuristic algorithms, local search techniques, dynamic programming, MIP and SAT solvers, and learn how to quickly identify NP-hard problems in real-world scenarios.

Ready to take your algorithmic skills to the next level? Don't miss out on this invaluable resource. Grab your copy of Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems today and start conquering the world of algorithms!

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