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{ "item_title" : "Algorithmic Thinking", "item_author" : [" "], "item_description" : "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 bookDijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locationsThe union-find data structure to answer questions about connections in a social network or determine who are friends or enemiesThe heap data structure to determine the amount of money given away in a promotionThe hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionaryNOTE: 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?", "item_img_path" : "https://covers4.booksamillion.com/covers2/ebook/15/08/9781718500815_b.jpg", "price_data" : { "retail_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "discount_pct" : "10", "club_savings_amt" : "0", "club_savings_pct" : "0" } }
Algorithmic Thinking|Daniel Zingaro
Algorithmic Thinking : A Problem-Based Introduction
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Language: eng

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Overview

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?

    This item is Non-Returnable

    Details

    • ISBN: 9781718500815
    • Publisher: No Starch Press
    • Imprint: No Starch Press
    • Date: Dec 2020
    • Seller Statement: Sold by Random House WHS

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