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The CS Detective by Jeremy Kubica

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The CS Detective

An Algorithmic Tale of Crime, Conspiracy, and Computation

Jeremy Kubica

No Starch Press · Print & ebook · August 16, 2016

Reading lane: Algorithms

Meet Frank Runtime.

At a Glance

Who It's For

For computer science students learning search algorithmsFor amateur sleuths who enjoy algorithmic mysteries

Book Details

Authors
Jeremy Kubica
Publisher
No Starch Press
Published
August 16, 2016
Format
Print & ebook
Theme
Algorithms · Kids Coding
Reading lane
Algorithms

Affinity

Publisher Categories

  • Computers

  • Programming

  • Software

About This Book

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 ro...

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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

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