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Mastering Algorithms with C
 
 
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Mastering Algorithms with C [Paperback]

Kyle Loudon (Author)
3.5 out of 5 stars  See all reviews (11 customer reviews)
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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 like 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 of 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, and convex hulls.

From Library Journal

Although older than some of the current languages, C still is one of the best general purpose programming languages around. Loudon's book discusses C pointers, recursion, data structures from lists and stacks to trees and graphs, sorting and searching, and encryption. This is not a beginner's manual but will work well for programmers wanting to refresh their C techniques and for those moving from another language to C.
Copyright 1999 Reed Business Information, Inc.
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews

11 Reviews
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3.5 out of 5 stars (11 customer reviews)
 
 
 
 
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3.0 out of 5 stars An affordable introduction to Data Structures, May 29 2007
This review is from: Mastering Algorithms with C (Paperback)
It's easy to recommend this book based solely on it's price, and I personally feel it has more value than some of the other data structures and analysis books I've collected over the years.

While its examples are written in C and not a newer language,the author goes through great pains to ensure the reader 'gets' pointers, devoting a lot of pages and graphics to get the concepts. Furthermore, he comments a lot and in a very noticeable format that commands attention through out the examples[which depending on your programming experience may annoy] to ensure the reader can understand with even basic C knowledge.

Also it bears mentioning, that data structures and algorithms are the same concepts regardless of what language they are written in. So if you want to pay more for a book that discusses the same topics but in a different language, I suppose at the end of the day that's your choice.
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1.0 out of 5 stars Not worth your time or money, April 16 2003
By 
Roger C. Walkup (Maple, WI United States) - See all my reviews
This review is from: Mastering Algorithms with C (Paperback)
To be fair and honest, I have not read this entire book and that is because I've read far better ones. If you are interested in this topic (and if you're a programmer or computer scientist, you should be), look to Robert Sedgewick's excellent "Algorithms in C" in two volumes, or "Mastering Algoritms" by Cormen, Leiserson, Rivest, and Stein. While the algorithms in Cormen, etc.'s book are not in C, they are in a pseudo language that easy to convert to C. I'm really, really glad I looked this book over before flushing my (limited) money away.
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4.0 out of 5 stars pretty concise and covers enough ground, July 26 2002
By 
almosthappy (San Diego, CA, California) - See all my reviews
This review is from: Mastering Algorithms with C (Paperback)
Sure, we all have learnt algorithms back in school. We know the fundamentals, we can talk about them, no sweat. But when it comes the time to actually write out an algorithm in C, we all struggle like George W writing SAT. That's why an algorithm book with real useable sample codes is very useful. O'Reilly has a good reputation for pumping out reference books, but there are, inevitably, hits and misses in the series. This volume is a hit. It covers most frequently used everyday algorithms without going into some obscure and generally useless NP-class problems. Full example codes are given on a floopy for easy porting.
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