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, by John MacCormick
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Product details
File Size: 4210 KB
Print Length: 232 pages
Publisher: Princeton University Press (December 27, 2011)
Publication Date: December 27, 2011
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B005Z67EI0
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I nearly finish reading the John MacCornick book and I must say it is an excellent written book. Everyone could recommends or excludes some of the algorithms that he describes --values are choices, they aren't properties of the algorithm themselves-- but no one could say that any of them are worthless or with no impact in actual computational systems. The author style approach readers with a moderate level of understanding in computation. That said to remark my astonishing look reading to some Computer Science professional reviewers alleging difficulties understand it. Even to an experience programmer as myself, this book is an enjoyable journey through one of the most fascinating and essential areas of Computer Science: algorithms.(Let me qualify myself. I'm an IT consultant with over 15 years of experience. I have two Microsoft certifications (MCDBA and MCSD, both VB6 and .NET), and a Master degree in Information Science. The discovery, invention and application of algorithms in Object-oriented programs with a dense use of design patterns is one of my lines of investigations.)
An algorithm is a well defined procedure for performing a task. A household example of an algorithm is a recipe -- for example, the list of ingredients together with the sequence of instructions needed to bake a pie. In order for a computer to perform a task, it needs ingredients -- the data -- and instructions -- the algorithm.Author John MacCormick, currently Professor of Computer Science at Dickinson College, has chosen nine important tasks performed by computers and explained the algorithms that are used. In a chapter devoted to each, he explains:* The development of search engines -- how to find information on the internet.* The PageRank process used by Google to produce highly relevant search results.* Public-key cryptography, enabling secure transmission of secret messages -- such as your credit card number -- over open communication channels.* Methods for detecting errors in data transmission and automatically correcting them.* Several pattern recognition techniques, illustrated by classifying handwritten numbers, facial recognition, and decision trees.* Data compression. Storing text, music, and images efficiently.* Databases. Storing and retrieving information efficiently. Techniques for modifying databases reliably, even when computers crash while the modification is in progress.* Digital signatures. How to be certain data is trustworthy.* Deciding what is computable.Even though the techniques that enable these algorithms are complex, Dr. MacCormick explains them in a clear and interesting manner using well constructed examples.I highly recommend this book for a fascinating and easily accessible look at the core of computer science and its application to everyday lives.
If you are already an Expert in any of the 9 Areas explored here. then this is probably not for you. For those who complain that more interesting algorithms are not discussed - the Author does an excellent job explaining his rationale for what he includes and excludes (and I agree with his thesis - it would be hard for me to explain how recursion or shell short changed the world, But public key encryption - not a problem). This explains the fundamental concepts and it does it in a clear way requiring no advanced mathematics etc. and for that I appreciate and applaud this book. I Have read Other explanations of these topic sand have not come aware with a clear an understanding as I obtained from reading this slim Volume. Many authors seem to be obsessed with showing you how clever they are and how well they understand a topic - rather than help you reach the same level of understanding. For this reason I would rate this Volume as Excellent.
I'm a computational biologist and a self-taught programmer, meaning that I'm always looking to improve my knowledge and understanding of computer science (CS) and how to apply it to my research. This book is a great introduction to general algorithms, although I've already encountered most of them in my studies, and the language is a bit too simple for my background.With that being said, I think it's really good for those who are either complete CS newbies, or those who are marginally interested in how the world of computers works without wanting to delve into technical language. I certainly would have gotten interested in CS long before I did if I had read this before college!
An excellent choice of algorithm that made great part of the word that we now live in. The book tries to present these ideas without assuming any programming or mathematical knowledge on part of the reader. As is to be expected, this becomes a bit awkward in the case of asymetric criptography but succeeds amazingly well in other cases. I am using this book for developing an introductory class for computer science and I am very satisfied with the book, because it gives me the material to explain what computer science really is instead of having me dig through the papers myself. The author chose to concentrate just on the algorithms and not on the economiceco-system in which software lives, so there is no real explanation why Altavista did not survive in the top three search engines, forexample. Considering on your view, this is a feature, not a bug. For the general reader, this book suffers from all the advantages and shortcomings of books that try to explain a feature of a science to people without the necessary aparatus. I remember reading a book by - I think - Dirac on quantum physics in high school and not making to much out of it, but as far as the genre goes, this is a really good book.
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