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Algorithmic Thinking - A Problem-Based Introduction Empty Algorithmic Thinking - A Problem-Based Introduction

Lun Sep 27, 2021 1:18 pm

Algorithmic Thinking - A Problem-Based Introduction BCah12W
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Algorithmic Thinking - A Problem-Based Introduction
pdf | 4.09 MB | English | Isbn:‎ B085BVJ51Z | Author: Daniel Zingaro | Year: 2020

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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 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?

Category:C Programming, Algorithm Programming, Open Source Programming




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