Description

Readers tackle challenging topics like recursion, dynamic programming, graphs, greedy algorithms, heaps, hash tables, segment trees, and other data structures for efficiently handling data. The book contains no pseudocode: all code is written in C and is thoroughly explained in the text (C is a de facto programming language for programming competitions). Zingaro also shows how several problems can be reduced to algorithms on graphs.

Algorithmic Thinking: A Problem-Based Introduction

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Paperback / softback by Daniel Zingaro

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Short Description:

Readers tackle challenging topics like recursion, dynamic programming, graphs, greedy algorithms, heaps, hash tables, segment trees, and other data structures... Read more

    Publisher: No Starch Press,US
    Publication Date: 15/12/2020
    ISBN13: 9781718500808, 978-1718500808
    ISBN10: 1718500807

    Number of Pages: 408

    Non Fiction , Computing

    Description

    Readers tackle challenging topics like recursion, dynamic programming, graphs, greedy algorithms, heaps, hash tables, segment trees, and other data structures for efficiently handling data. The book contains no pseudocode: all code is written in C and is thoroughly explained in the text (C is a de facto programming language for programming competitions). Zingaro also shows how several problems can be reduced to algorithms on graphs.

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