Modeling with Data: Tools and Techniques for Scientific Computing
by Ben Klemens
Publisher: Princeton University Press 2009
ISBN/ASIN: 069113314X
ISBN-13: 9780691133140
Number of pages: 470
Description:
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.
Download or read it online for free here:
Download link
(4.3MB, PDF)
Similar books
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.
(8722 views)
- Wikibooks
This book helps you to start modeling with AnyLogic -- a multi-method simulation modeling tool that supports different modeling techniques. Topics covered: Agent-Based Modeling; System Dynamics; Discrete Event Simulation; Pedestrian Simulation.
(10986 views)
by Roger McHaney - BookBoon
Contents: Introduction to Computer Simulation; Simulation Languages; Applications of Simulation; Starting a Simulation the Right Way; Simulation Quality and Development; Developing a Simulation-Implementation; Case Study: DePorres Tours.
(14318 views)
by Daniel Shiffman - The Nature of Code
This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results.
(11156 views)