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.
Download or read it online for free here:
by Ahmad Taher Azar - InTech
This book is intended to present fuzzy logic systems and useful applications with a simple approach. It is written at a level suitable for use in a graduate course on applications of fuzzy systems in decision support, nonlinear modeling and control.
by Shkelzen Cakaj - InTech
Topics covered: parametric representation of shapes, modeling of dynamic continuous fluid flow process, plant layout optimal plot plan, atmospheric modeling, cellular automata simulations, thyristor switching characteristics simulation, etc.
by Cher Ming Tan - IN-TECH
This book provides the readers with the knowledge of Simulated Annealing and its applications in the various branches of engineering. We encourage readers to explore the application of Simulated Annealing in their work for the task of optimization.
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.