Artículos relacionados a Algorithmic Thinking: A Problem-Based Introduction

Algorithmic Thinking: A Problem-Based Introduction - Tapa blanda

Zingaro, Daniel

 
9781718500808: Algorithmic Thinking: A Problem-Based Introduction
Tapa blanda
ISBN 10: 1718500807 ISBN 13: 9781718500808
Editorial: No Starch Press, 2020

Sinopsis

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?

    "Sinopsis" puede pertenecer a otra edición de este libro.

    Acerca del autor

    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.

    "Sobre este título" puede pertenecer a otra edición de este libro.

    Editorial
    No Starch Press
    Año de publicación
    2020
    Idioma
    Inglés
    ISBN 10 
    1718500807
    ISBN 13 
    9781718500808
    Encuadernación
    Tapa blanda
    Número de páginas
    408
    Contacto del fabricante
    No Starch Press
    https://nostarch.com/python-crash-course-3rd-edition

    245 8th Street
    San Francisco
    CA
    94103
    Estados Unidos de America
    Persona responsable
    no disponible