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MHD Flows in Compact Astrophysical Objects: Accretion, Winds and Jets (Astronomy and Astrophysics Library)
MHD Flows in Compact Astrophysical Objects: Accretion, Winds and Jets (Astronomy and Astrophysics Library)

Accretion flows, winds and jets of compact astrophysical objects and stars are generally described within the framework of hydrodynamical and magnetohydrodynamical (MHD) flows. Analytical analysis of the problem provides profound physical insights, which are essential for interpreting and understanding the results of numerical simulations....

Electromagnetic Field Theory for Engineers and Physicists
Electromagnetic Field Theory for Engineers and Physicists

This established textbook is didactically excellent and it unifies intuitiveness with extraordinary precision of its terminology and their derivation. It was developed as manuscript to teach students in electrical engineering, and has served to do so for thousands of students over 2 decades.

Discussed is the electromagnetic field theory...

Patent Law for Computer Scientists: Steps to Protect Computer-Implemented Inventions
Patent Law for Computer Scientists: Steps to Protect Computer-Implemented Inventions

Patent laws are different in many countries, and inventors are sometimes at a loss to understand which basic requirements should be satisfied if an invention is to be granted a patent. This is particularly true for inventions implemented on a computer. While roughly a third of all applications (and granted patents) relate, in one way or another,...

A Peek at Computer Electronics: Things you Should Know
A Peek at Computer Electronics: Things you Should Know

A lot of people are into Making their own technology these days, from 3D printers to home-made robots, Digital Video Records (DVRs), Media Centers, and more. But if you’re a computer programmer you might not know the ins and outs of the hardware side of these projects.

Caleb Tennis explains it all. From a quick look at basic...

Four Short Courses on Harmonic Analysis: Wavelets, Frames, Time-Frequency Methods, and Applications to Signal and Image Analysis
Four Short Courses on Harmonic Analysis: Wavelets, Frames, Time-Frequency Methods, and Applications to Signal and Image Analysis

This state-of-the-art textbook examines four research directions in harmonic analysis and features some of the latest applications in the field, including cosmic microwave background analysis, human cortex image denoising, and wireless communication. The work is the first one that combines spline theory (from a numerical or...

Computer Animation: Algorithms and Techniques (The Morgan Kaufmann Series in Computer Graphics)
Computer Animation: Algorithms and Techniques (The Morgan Kaufmann Series in Computer Graphics)

Whether you're a programmer developing new animation functionality or an animator trying to get the most out of your current animation software, Computer Animation: Algorithms and Techniques will help work more efficiently and achieve better results. For programmers, this book provides a solid theoretical orientation and extensive...

Printed Biomaterials: Novel Processing and Modeling Techniques for Medicine and Surgery (Biological and Medical Physics, Biomedical Engineering)
Printed Biomaterials: Novel Processing and Modeling Techniques for Medicine and Surgery (Biological and Medical Physics, Biomedical Engineering)

Recent studies have shown that novel processing and modeling techniques may be used to create patient-specific prostheses, artificial tissues, and other implants using data obtained from magnetic resonance imaging, computed tomography, or other imaging techniques. For example, customized prostheses may be fabricated that possess suitable...

Software Performance and Scalability: A Quantitative Approach
Software Performance and Scalability: A Quantitative Approach

Praise from the Reviewers:

"The practicality of the subject in a real-world situation distinguishes this book from others available on the market."
Professor Behrouz Far, University of Calgary

"This book could replace the computer organization texts now in use that every CS and CpE...

Advances in Intelligent Web Mastering - 2: Proceedings of the 6th Atlantic Web Intelligence Conference
Advances in Intelligent Web Mastering - 2: Proceedings of the 6th Atlantic Web Intelligence Conference

Welcome to the 6th Atlantic Web Intelligence Conference (AWIC 2009), to be held during September 9-11, 2009 in Prague, Czech Republic. The conference will be held at the Faculty of Mathematics and Physics of the Charles University, Prague. This building has a convenient location in the historical city center, in the area called Lesser Town close...

Coherent Behavior in Neuronal Networks (Springer Series in Computational Neuroscience)
Coherent Behavior in Neuronal Networks (Springer Series in Computational Neuroscience)

Recent experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information. With these developments, it has become clear that dynamic network behaviors underlie information processing, and that the observed activity patterns cannot be fully explained by simple concepts such as...

Explanation and Proof in Mathematics: Philosophical and Educational Perspectives
Explanation and Proof in Mathematics: Philosophical and Educational Perspectives

In the four decades since Imre Lakatos declared mathematics a "quasi-empirical science," increasing attention has been paid to the process of proof and argumentation in the field -- a development paralleled by the rise of computer technology and the mounting interest in the logical underpinnings of mathematics.  Explanantion...

Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
Machine learning is a major subfield in computational intelligence (also called artificial intelligence). Its main objective is to use computational methods to extract information from data. Neural network methods, generally regarded as forming the first wave of breakthrough in machine learning, became popular in the late 1980s, while kernel...
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