Computational Geometry: Algorithms and Applications, Second Edition Review

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Computational Geometry: Algorithms and Applications, Second Edition ReviewPro:
(1) Each chapter begins with a practical example. For example, the chapter computing intersections of lines starts with a discussion of a map-making application that goes into enough detail to see how the algorithms they present would be useful. This is a considerable step up from the common practice in algorithms literature of motivation by way of vaguely mentioning some related field (i.e. "These string matching algorithms are useful in computational biology"). This book does a much better job of motivating the material it presents, but if you're primarily interested in the abstract problem, these sections can be skipped.
(2) Each chapter is relatively self-contained. Feel free to skip ahead to subjects that interest you.
(3) Surprisingly readable. Unlike most technical material, one can read an entire chapter in a single sitting without missing much. Generally, each chapter will develop a single algorithm for a single kind of problem.
(4) It's very up to date. This second edition is less than two years old, it includes some new results in the field.
Con:
(1) Algorithms are only given in pseudocode. The emphasis is on describing algorithms and data structures clearly and completely. If you're looking for a "cookbook" with code to copy and paste into an application, perhaps O'Rourke's "Computational Geometry in C" would be a better choice.
(2) There are many important advanced results that are not discussed in the main text. An obvious example is the first chapter, which describes a well-known convex hull algorithm that takes O(n log n) time but algorithms that are faster for most inputs are mentioned only in the "Notes and Comments" at the end of the chapter. Someone interested in lots of gory details would be well-served to combine this book with Boissonnat and Yvinec's more detailed and mathematical "Algorithmic Geometry".Computational Geometry: Algorithms and Applications, Second Edition Overview

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Privacy and Big Data Review

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Privacy and Big Data ReviewA book that is slight in pages but strong on content.
Terence Craig and Mary Ludloff take the reader on a swift but informed journey across the landscape of modern privacy issues arising from our online life. Predictably the book is full of caution and warning - it is no surprise that our private information is doing the rounds in places that we don't know, and governments are encroaching our privacy under the banner of national security. Orwell's Big Brother isn't alive and well - he has been replaced by an even more worrisome industry of data aggregators who make their living by combining our on-line information from multiple sources.
The strong points of the book are many. A cogent discussion of the issues, a review of the various approaches to legislation in the US, Europe, China and even my home nation, Australia. And what I liked most - a balanced assessment of the risks and a nod towards the upside - all that 'free' stuff we get on the web courtesy of surrendering our personal information.
The downsides of the book? Not many, although I would have liked the authors to have shared some more of their insights into what the world might look like in ten years hence. Not crystal ball gazing, just what some of the implications might be depending on how current developments play out.
If you have a couple of hours to spare (the book is under 100 pages) and you want to get your head around the hard facts of the current privacy dilemmas arising from your online life, then you could do a lot worse than cast an eye over this publication. If you want something philosophical with big picture stuff and something to send shudders up your spine, then this is probably not what you are after.Privacy and Big Data Overview

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