Modeling with Data: Tools and Techniques for Scientific Computing
by Ben Klemens
Publisher: Princeton University Press 2009
Number of pages: 470
The book fully explains how to execute computationally intensive analysis on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. Modeling with Data will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics.
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by Norm Matloff - University of California, Davis
The materials here form a textbook for a course in mathematical probability and statistics for computer science students. Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security...
by N. I. Badler, C. B. Phillips, B. L. Webber - Oxford University Press, USA
This volume presents the problem of providing a surrogate or synthetic human for designers and engineers. The book is intended for engineers interested in understanding how a computer surrogate human can augment their analyses of designed environments.
by Giuseppe Petrone, Giuliano Cammarata - InTech
This book collects research studies concerning modeling and simulation of physical systems in a very wide range of applications: micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, etc.
by A.I. Zhmakin - arXiv
Simulation of human motion is the subject of study in a number of disciplines: Biomechanics, Robotics, Control Theory, Neurophysiology, Ergonomics. Since the author has never visited any of these fields, this review is a passer-by's impression.