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Mastering Algorithms with C (Inglés) Tapa blanda – 15 ago 1999

5.0 de un máximo de 5 estrellas 1 opinión de cliente

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'This is an O'Reilly book, surely one of the best publishers of technical books areound. I love 'em, from the animal cover to the Colophon, and it is rare indeed that I come across an O'Reilly book that I regret buying....So, all in all, an enjoyable book and one I will move onto my Important Algorithm Book shelf, rather than on the floor in a pile with the also-rans. Recommended.' - Julian M Bucknall Developers Review, August 2000

Reseña del editor

There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming tasks, this book avoids the abstract style of most classic data structures and algorithms texts, but still provides all of the information you need to understand the purpose and use of common programming techniques.

Implementations, as well as interesting, real-world examples of each data structure and algorithm, are included.

Using both a programming style and a writing style that are exceptionally clean, Kyle Loudon shows you how to use such essential data structures as lists, stacks, queues, sets, trees, heaps, priority queues, and graphs. He explains how to use algorithms for sorting, searching, numerical analysis, data compression, data encryption, common graph problems, and computational geometry. And he describes the relative efficiency of all implementations. The compression and encryption chapters not only give you working code for reasonably efficient solutions, they offer explanations of concepts in an approachable manner for people who never have had the time or expertise to study them in depth.

Anyone with a basic understanding of the C language can use this book. In order to provide maintainable and extendible code, an extra level of abstraction (such as pointers to functions) is used in examples where appropriate. Understanding that these techniques may be unfamiliar to some programmers, Loudon explains them clearly in the introductory chapters.

Contents include:

  • Pointers
  • Recursion
  • Analysis of algorithms
  • Data structures (lists, stacks, queues, sets, hash tables, trees, heaps, priority queues, graphs)
  • Sorting and searching
  • Numerical methods
  • Data compression
  • Data encryption
  • Graph algorithms
  • Geometric algorithms

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18 de junio de 2015
Formato: Tapa blanda|Compra verificada
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Amazon.com: 4,0 de 5 estrellas 31 opiniones
Michael Gautier
5,0 de 5 estrellasDiverse Areas, Common Solutions
13 de octubre de 2014 - Publicado en Amazon.com
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A 4 personas les ha parecido esto útil.
Anon
5,0 de 5 estrellasGreat coverage of data structures and algorithms
23 de diciembre de 2013 - Publicado en Amazon.com
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A 4 personas les ha parecido esto útil.
Steven
3,0 de 5 estrellasGood information, but the commenting style really is as bad as people say. Very distracting.
9 de septiembre de 2016 - Publicado en Amazon.com
Formato: Tapa blanda|Compra verificada
A 2 personas les ha parecido esto útil.
bill h
5,0 de 5 estrellasGood for those inexperienced with C
9 de noviembre de 2015 - Publicado en Amazon.com
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A 8 personas les ha parecido esto útil.
Claire Jones
5,0 de 5 estrellasEvery C coder should have one
14 de abril de 2018 - Publicado en Amazon.com
Formato: Tapa blanda|Compra verificada