The CS Detective : An Algorithmic Tale of Crime, Conspiracy, and Computation. Cet article n’est pas disponible.
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Langue : anglais
Edité par No Starch Press, Incorporated, 2016
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A propos de cet article
Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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- Titre
- The CS Detective : An Algorithmic Tale of Crime, Conspiracy, and Computation
- Auteur
- Kubica, Jeremy
- Éditeur
- No Starch Press, Incorporated
- Année de publication
- 2016
- État de l'article
- Very Good
- Reliure
- Couverture souple
- Langue
- anglais
- ISBN à 10 chiffres
- 1593277490
- ISBN à 13 chiffres
- 9781593277499
- Édition
- 1st Edition.
- Poids de l'article
- 0,939 livre
- Dimensions
- N/A
Meet Frank Runtime. Disgraced ex-detective. Hard-boiled private eye. Search expert.
When a robbery hits police headquarters, it’s up to Frank Runtime and his extensive search skills to catch the culprits. In this detective story, you’ll learn how to use algorithmic tools to solve the case. Runtime scours smugglers’ boats with binary search, tails spies with a search tree, escapes a prison with depth-first search, and picks locks with priority queues. Joined by know-it-all rookie Officer Notation and inept tag-along Socks, he follows a series of leads in a best-first search that unravels a deep conspiracy. Each chapter introduces a thrilling twist matched with a new algorithmic concept, ending with a technical recap.
Perfect for computer science students and amateur sleuths alike, The CS Detective adds an entertaining twist to learning algorithms.
Follow Frank’s mission and learn:
–The algorithms behind best-first and depth-first search, iterative deepening, parallelizing, binary search, and more
–Basic computational concepts like strings, arrays, stacks, and queues
–How to adapt search algorithms to unusual data structures
–The most efficient algorithms to use in a given situation, and when to apply common-sense heuristic methods
When a robbery hits police headquarters, it’s up to Frank Runtime and his extensive search skills to catch the culprits. In this detective story, you’ll learn how to use algorithmic tools to solve the case. Runtime scours smugglers’ boats with binary search, tails spies with a search tree, escapes a prison with depth-first search, and picks locks with priority queues. Joined by know-it-all rookie Officer Notation and inept tag-along Socks, he follows a series of leads in a best-first search that unravels a deep conspiracy. Each chapter introduces a thrilling twist matched with a new algorithmic concept, ending with a technical recap.
Perfect for computer science students and amateur sleuths alike, The CS Detective adds an entertaining twist to learning algorithms.
Follow Frank’s mission and learn:
–The algorithms behind best-first and depth-first search, iterative deepening, parallelizing, binary search, and more
–Basic computational concepts like strings, arrays, stacks, and queues
–How to adapt search algorithms to unusual data structures
–The most efficient algorithms to use in a given situation, and when to apply common-sense heuristic methods
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
Jeremy Kubica is a principal engineer at Google working on machine learning and algorithms. He has a PhD in robotics from Carnegie Mellon University and a BS in computer science from Cornell University. Kubica is the author of the popular Computational Fairy Tales blog.
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