Algorithmic Thinking: A Problem-based Introduction
Zingaro, Daniel
ISBN 10: 1718500807 ISBN 13: 9781718500808
Published by No Starch Pr, 2020
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Revaluation Books, Exeter, United Kingdom
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About this Item
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373 pages. 9.25x7.00x1.00 inches. In Stock. Seller Inventory # zk1718500807
Synopsis:
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:
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?
About the Author: Dr. Daniel Zingaro is an award-winning Assistant Professor of Mathematical and Computational Sciences at the University of Toronto Mississauga, where he is well known for his uniquely interactive approach to teaching, and internationally recognized for his expertise in Active Learning.
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Bibliographic Details
Title: Algorithmic Thinking: A Problem-based ...
Publisher: No Starch Pr
Publication Date: 2020
Binding: Paperback
Condition: Brand New
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