SKU/Artículo: AMZ-1718500807
Algorithmic Thinking: A Problem-Based Introduction
Format:
Paperback
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Disponibilidad:
En stock
En stock
Peso con empaque:
0.78 kg
0.78 kg
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Sí
Sí
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- 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 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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AR$171.412
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AR$87.904
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