Algorithmic Thinking

A Problem-Based Introduction

Daniel Zingaro (Author) ... more

Edition: US - Paperback / softback
價格:
銷售價格HK$319.00 原價HK$500.00
庫存狀態:
沒有存貨
Product Info
English Age Adult - Adult
408 pages 17.91 x 23.65 x 2.36 公分
Approx. weight: 0.78 kg
Publication date: 15 Dec,2020
Barcode/ ISBN: 9781718500808 No Starch Press

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描述

By: Daniel Zingaro    
A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer.

Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems.

Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like:
  • The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book
  • Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations
  • The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies
  • The heap data structure to determine the amount of money given away in a promotion
  • The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary

  • NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?

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