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 |  |  Computational Fluid Dynamics: Principles and Applications
The history of Computational Fluid Dynamics, or CFD for short,, started in
the early 1970’s. Around that time, it became an acronym for a combination
of physics, numerical mathematics, and, to some extent, computer sciences employed
to simulate fluid flows. The beginning of CFD was triggered by the
availability of... |  |  Final Cut Pro X: Making the Transition
Final Cut Pro X was born amid controversy.
And that is a shame, because if you ignore the trauma surrounding its birth, there’s
a lot of exciting new technology, power, and ease of use hiding under the hood.
That got me thinking about writing this book.
When you decide to move to... |
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 Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent
sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer
databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing
the knowledge as to... |  |  Nonlinear Stochastic Operator Equations
A previous volume, Stochastic Systems (1983), was the first systematic
book bringing nonlinear and stochastic equations within the reach of engi
neers and physicists concerned with the difficulties of real systems and fron
tier problems in which conventional techniques such as linearization and
perturbation are not sufficient... |  |  Distortion in RF Power Amplifiers (Artech House Microwave Library)
A treatment of distortion in RF power amplifiers. It seeks to offer guidance on designing easily linearizable systems that have low memory effects. The reader is offered a detailed understanding of how the matching impedances of a power amplifier and other RF circuits can be tuned to minimize overall distortion. It also demonstrates how to... |
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 SPSS for Starters, Part 2 (SpringerBriefs in Statistics)
The small book ‘‘SPSS for Starters’’ issued in 2010 presented 20 chapters of
cookbook like step by step data-analyses of clinical research, and was written to
help clinical investigators and medical students analyze their data without the help
of a statistician. The book served its purpose well enough, since... |  |  |  |  |
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