Organizing things is an important human activity. Whether it is a child organizing toys in some way (by size, color, favorites, and so forth) or an adult piecing together a thousand-piece jigsaw puzzle, the desire to “make order out of chaos” (as one inveterate puzzler put it) reflects a sense that somehow if...

When I was 10 years old, I purchased an introductory electronics book at a local pharmacy. I cherished this book because I knew it contained marvelous and fascinating knowledge about electronics—an awesome, mysterious, and exciting field that was to become the literal foundation of the next step in human progress. Unfortunately, after...

This text offers an in-depth treatment of integrated and fiber optics, providing graduate students, engineers, and scientists with a solid foundation of the principles, capabilities, uses, and limitations of guided-wave optic devices and systems. In addition to...

iOS 6 Recipes: A Problem-Solution Approach is your code reference and guide to developing solutions on iPad, iPhone, and other iOS 6 SDK devices and platforms. This book provides in-depth code samples and discussions for scenarios that developers face every day. You'll find numerous examples of real-world cases...

Design flow and circuit techniques of contemporary transceivers for multigigahertz mobile radio-frequency (RF) wireless applications are typically quite analog intensive and utilize process technologies that are incompatible with a digital baseband (DBB) and application processor (AP). Nowadays, the DBB and AP designs constantly migrate to...

This is a comprehensive handbook on all aspects of adverse effects by drugs, chemical substances and radiation on the kidneys. The book consists of a general part dealing with themes such as clinical relevance, renal handling and cellular mechanisms of nephrotoxicity, as well as animal and cell culture models. The second part includes the...

Machine Learning: Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines. However, unlike previous books that only discuss these rather different approaches in isolation, it bridges the two...