Have you been looking for a C++ book that not only talks about some of the most popular algorithms of today, but also implements them? Then look no further. This book presents algorithms from a practical point of view, clearly explaining how the algorithms work, as well as fully implementing them in C++. Written to the intermediate C++ programmer, this book covers a wide range of subjects, from sorting and searching algorithms, to graph traversal algorithms, hashing algorithms, priority queues, finite state machines, and "algorithmic generators," a unique, object-oriented way of implementing algorithms.

The long-awaited seventh (and final book) of the Harry Potter series. Given that the proud owner has actually lovingly photographed it page by page, we can safely conclude that it's definitely the real thing (unless it's a *very* elaborate hoax… the kind it would take entire governments to pull off, *cough* 9-11 *cough*). Anyway, the dunderhead who created this "release" had obviously never heard of a scanner… or at least couldn't be bothered. Still, it's pretty readable (zoomed in at ~200% on Adobe Acrobat Reader). Of course, in a few days the book will be officially released and someone will upload a proper copy; you could wait that long… couldn't you? Your choice.

To succeed in the practice of microelectronics in industry, students must develop the ability to think intuitively about circuits. They need to move beyond simply plugging and chugging numbers in equations and be prepared to face real design trade-offs.
Fundamentals of Microelectronics, Preview Edition helps students develop intuitive techniques so they can design and implement circuits not just analyze them. Using many real-word examples and applications, the text motivates the student to understand the importance of today's microelectronics.

Image Processing The Fundamentals Maria Petrou, University of Surrey, Guildford, UK Panagiota Bosdogianni, Technical University of Crete, Chania, Greece Image processing has been one of the most active areas of research in recent years. The techniques involved have found significant applications in areas as diverse as video-conferencing, image communication, robotics, geoscience and medicine. From intelligent cars that drive themselves to key-hole surgery, this enormous impact on society is expected to change our lives radically. Providing a step by step guide to the basic principles underlying all image processing tasks, this volume is the result of 11 years teaching experience.

A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.

Mechanical systems such as vehicles, robots, space structures, biomechanical systems, mechanisms and machines can be modeled as sets of rigid bodies interconnected by joints and force elements such as springs, dampers, and actuators. The dynamic behavior of such multibody systems is described using ordinary differential equations (ODEs) or sets of differential-algebraic equations (DAEs).
This course presents systematic approaches for formulating and solving these equations using matrix, numerical, and computer methods with the goal of predicting the motion of relatively realistic models of mechanical systems. Applications are explored using modeling and simulation projects.