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Mastering Algorithms with C
 
 
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Mastering Algorithms with C (Paperback)

by Kyle Loudon (Author)
3.3 out of 5 stars See all reviews (3 customer reviews)
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Mastering Algorithms with C + Practical C Programming (A Nutshell handbook) + C Pocket Reference
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Product Description

Amazon.co.uk Review
Written with the intermediate to advanced C programmer in mind, Mastering Algorithms With C delivers a no-nonsense guide to the most common algorithms needed by real-world developers.

The highlight of the book has to be its concise and readable C functions for all the algorithms presented here, including basics such as linked lists, stacks to trees, graphs and sorting/searching algorithms. The C functions that implement these algorithms are clearly printed and remarkably easy to read. You can use this sample code directly or adapt it into your C/C++ code.

Although mathematical concepts like Big-O notation are discussed, the authors don't get bogged down in the computer science theory surrounding algorithms. Instead, they present the most tried-and-true algorithms available today in an efficient format. Besides introducing each algorithm, they describe how each is used in computing today, along with a short demo application. Some of these samples are quite low-level, such as a virtual memory manager implemented with linked lists. Most examples are more general interest, such as a graphing example that counts network hops.

Each section ends with questions and answers about how the algorithms work, along with references to other algorithms (both in the book and from other sources). The authors concentrate on the most useful algorithms available today and don't try to cover every available variation. Busy readers will appreciate the intelligent selection--and efficient presentation--used here.

There are a number of books on C algorithms, but Master Algorithms With C is one of the most concise and immediately useful. It's a perfect choice for the working C/C++ programmer who's in a hurry to find just the right algorithm for writing real-world code. --Richard Dragan

Topics covered: Algorithm efficiency, pointer basics, arrays, recursion, Big-O Notation, linked lists, stacks, queues, sets, hash tables, trees and B-trees, searching, heaps and priority queues, graphs, sorting and searching algorithms, numerical methods, data compression, Huffman coding, LZ77, data encryption, DES, RSA, graph algorithms, minimum spanning trees, geometric algorithms, convex hulls.

Review
'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

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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Mastering Algorithms with C
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Mastering Algorithms with C 3.3 out of 5 stars (3)
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Customer Reviews

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Average Customer Review
3.3 out of 5 stars (3 customer reviews)
 
 
 
 
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3 of 3 people found the following review helpful:
4.0 out of 5 stars Covers the basic algorithms very well, 22 Dec 2003
This book offers a solid introduction to algorithms in the C programming language. All the key topics are covered, and the example code is well written. My only criticism would be the block commenting style the author uses, but the proportional font used makes them less distracting than they might have been. If this book whets the appetite, then Sedgewicks "Algorithms in C" offers a more in depth follow up.

I must comment on one of the other reader reviews, which has been cribbed from a similar review on the website of O'Reilly, this books publishers. Anyone who doesn't know the fundamental problems with numeric accuracy on computers should not be at a stage where they need to know algorithms in C. Any good computing course should cover the fundamentals of how numbers are stored, stressing the lack of precision and the possibility of overflow, before any in depth programming is taught.

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5 of 6 people found the following review helpful:
5.0 out of 5 stars A fantastic introduction to some advanced C., 28 Mar 2001
By A Customer
This book is fantastic. It covers a wide range of topics including sorting, data compression, trees and encryption. It also covers complexity notation and the basic maths behind various aspects.

I would recommend it to anyone.

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9 of 25 people found the following review helpful:
1.0 out of 5 stars Dangerous: doesn't deal with consequences of numerics in C., 8 Dec 1999
By A Customer
I'm just going to comment on one chapter of the book: "Numerical Methods", the thirteenth.

Incredibly, Loudon presents a chapter on numerical methods without any discussion of the effects of the limitations imposed by the finite representation of numbers in C. No mention is made of the problems that occur when one tries to represent extremely large numbers or extemely small numbers (close to 0) in C, yet these are common situations when line gradients approach vertical or horizontal. Loudon presents C as though it was capable of representing numbers, when of course C is only capable of a very limited approximation to numbers.

Novices who enter the field of numerical methods without having been warned about the problem are going to risk producing very inaccurate results (and one presumes that some of the readers of this book may simply take the implementations of algorithmspresented and apply them to the field they work in, be it analysis of biological experiment results, or investment performance analysis.)

The best Loudon does is to mention "Error Approximation" in the "Related Topics" section at the end of the chapter -- but please note, Loudon is referring to the problems of approximation in the algorithm itself, not the additional problems caused by implementing the algorithm in C where numbers are not represented exactly.

In summary, the problem here is that Loudon has written a useful chapter about some algorithms used in numerical methods, yet has completely failed to deal with the consequences of the implementation of those algorithms in C (surely the point of such a book as this?)...This part of the book is, in my opinion, extremely dangerous to the user, and must be corrected in the next edition.

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