Download PDF Mastering Algorithms with C: Useful Techniques from Sorting to Encryption
Download PDF Mastering Algorithms with C: Useful Techniques from Sorting to Encryption
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Mastering Algorithms with C: Useful Techniques from Sorting to Encryption
Download PDF Mastering Algorithms with C: Useful Techniques from Sorting to Encryption
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Amazon.com 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 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.
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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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Product details
Series: Mastering
Paperback: 562 pages
Publisher: O'Reilly Media; 1 edition (August 15, 1999)
Language: English
ISBN-10: 1565924533
ISBN-13: 978-1565924536
Product Dimensions:
7 x 1.2 x 9.2 inches
Shipping Weight: 2.4 pounds (View shipping rates and policies)
Average Customer Review:
3.9 out of 5 stars
31 customer reviews
Amazon Best Sellers Rank:
#646,733 in Books (See Top 100 in Books)
Don't be put off by the publication date, this is a timeless classic that will give you practical, hands-on experience with fundamental data structures and algorithms every programmer should understand. With working, annotated implementations it is an invaluable resource whether you are preparing for an interview or just want a better familiarity with how things actually work "under the hood."Even if C is not your primary language (or a language you use at all) C is still the best language for learning data structures and algorithms IMO. Nothing is abstracted away as in a managed environment, you have to do all the heavy lifting yourself. This will give you a far richer understanding of space, performance, and functionality tradeoffs when choosing between different solutions. This low level understanding will give you a leg-up when working in higher level languages like Java and Python.
You will see how seemingly unrelated areas of technology can be approached in similar ways. The kind of thinking expressed in the book may apply to topics as diverse as social networks, databases, healthcare systems, air traffic control, video games, robots, drones and mobile apps. Kyle reveals an approach that can improve code reuse, the way code runs, and how the code is fundamentally structured. The code is example code, not real-world code. That means that the code clearly shows the approach to solving a problem so you know how the solution in code may appear. You will still have to adjust the code for style, performance, and security. Importantly, he explains various approaches very well, includes diagrams and uses the C programming language for code examples which makes the code translatable to Java, C++, and PHP. It takes patience and attention to progress through 17 chapters, but the results are well worth it. Can you read the book once? You can as an overview and to become more broadly familiar with the material, but it is definitely a worthwhile reference.
I'm new to C, but not to programming in general.First, my five stars is kind of dependent upon the audience. You shouldn't buy this to teach yourself algorithms, it isn't a textbook. Instead it's quite good as a reference book for how algorithms you know pseudo for should be properly implemented in C. It's also enormously useful for data structure implementation, which can be tricky if you come from mainly using a language without pointers.The only downside is its bigger than necessary due to comment size, but unlike others I don't think the book should really be judged on editor induced padding. It's a solid reference with excellent diagrams and clear explanations.
Text struct a good balance between practical and theoretical. All common data structures and algorithms were thoroughly covered from practical and theoretical aspects. Code samples were clean and elegant. Great refresher for a seasoned 'C' programmer.
Good clean simple code with straightforward explanations. Not much more else to say. Nothing extraordinary here.
If you know C and want to brush up on your skills, this is a great book to have. They favor clear code and sane APIs with discussions of the techniques. I found it good if you already knew some details but had perhaps forgotten specific details about the algorithm. Though it is no fault of the book, the code referenced in the book is provided on a 3.5 inch floppy disk -- which I can't really use on my modern system without buying a USB floppy drive.My criticism would be if you didn't know an algorithm at all, it can be a bit rough to get the exact details -- and given the large amount of code in the book, I suppose the author expects you to fill in the details by reading the code. This probably makes it inferior to other books for /learning/, but again, if you're just reviewing, this isn't really a problem.
I've enjoyed every O'Reilly book I've ever gotten, and this is no disappointment. I am trying to strengthen my C skills and this will definitely help. Thanks again for another awesome book!
This book is just for beginners, and there are many out there. Can not recommend as a good reference. Doesn't stand out. Not updated to the internet world. This might be a good one many years ago when it was born.
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