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Testing and Validation of Computer Simulation Models, David J. Murray-Smith


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Автор: David J. Murray-Smith
Название:  Testing and Validation of Computer Simulation Models
ISBN: 9783319150987
Издательство: Springer
Классификация:


ISBN-10: 3319150987
Обложка/Формат: Hardcover
Страницы: 252
Вес: 0.55 кг.
Дата издания: 28.10.2015
Серия: Simulation Foundations, Methods and Applications
Язык: English
Издание: 1st ed. 2015
Иллюстрации: Xiv, 252 p.
Размер: 234 x 156 x 16
Читательская аудитория: General (us: trade)
Основная тема: Computer Science
Подзаголовок: Principles, Methods and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This must-read text/reference provides a practical guide to processes involved in the development and application of dynamic simulation models, covering a wide range of issues relating to testing, verification and validation.


Handbook of Mathematical Models in Computer Vision

Автор: Paragios Nikos, Chen Yunmei, Faugeras Olivier
Название: Handbook of Mathematical Models in Computer Vision
ISBN: 0387263713 ISBN-13(EAN): 9780387263717
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This comprehensive volume is an essential reference tool for professional and academic researchers in the filed of computer vision, image processing, and applied mathematics.  Continuing rapid advances in image processing have been enhanced by the theoretical efforts of mathematicians and engineers. This marriage of mathematics and computer vision - computational vision - has resulted in a discrete approach to image processing that is more reliable when leveraging in practical tasks. This comprehensive volume provides a detailed discourse on the mathematical models used in computational vision from leading educators and active research experts in this field. Topical areas include: image reconstruction, segmentation and object extraction, shape modeling and registration, motion analysis and tracking, and 3D from images, geometry and reconstruction. The book also includes a study of applications in medical image analysis.Handbook of Mathematical Models in Computer Vision provides a graduate-level treatment of this subject as well as serving as a complete reference work for professionals.

Introduction to Modeling and Simulation with MATLAB and Python

Автор: Gordon
Название: Introduction to Modeling and Simulation with MATLAB and Python
ISBN: 1498773877 ISBN-13(EAN): 9781498773874
Издательство: Taylor&Francis
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Цена: 13473.00 р.
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Описание: The book introduces the principles of mathematical modeling in science, engineering, and social science as well as basic skills of computer programming. The book is aimed at majors in STEM disciplines that need to understand how to create, analyze, and test mathematical models.

Computer Simulation

Автор: Osais
Название: Computer Simulation
ISBN: 1498726828 ISBN-13(EAN): 9781498726825
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание: This book introduces the fundamentals of computer simulation using Python. Monte Carlo methods and applications are covered extensively, along with advanced topics, such as event graphs and the design of experiments.

Performance Evaluation by Simulation and Analysis with Applications to Computer Networks

Автор: Chen
Название: Performance Evaluation by Simulation and Analysis with Applications to Computer Networks
ISBN: 1848217471 ISBN-13(EAN): 9781848217478
Издательство: Wiley
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Цена: 22010.00 р.
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Описание: This book is devoted to the most used methodologies for performance evaluation: simulation using specialized software and mathematical modeling. An important part is dedicated to the simulation, particularly in its theoretical framework and the precautions to be taken in the implementation of the experimental procedure.

Computer Simulation Validation

Автор: Claus Beisbart; Nicole J. Saam
Название: Computer Simulation Validation
ISBN: 3319707655 ISBN-13(EAN): 9783319707655
Издательство: Springer
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Цена: 23757.00 р.
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Описание:

Computer simulation is a new method that has become a standard technique in many natural and social sciences. Validation comprises the efforts to show that computer simulations provide faithful representations of their target systems. Thus far, validation has much been neglected in the literature, and working scientists have expressed uncertainty about how they should build trust their simulation results. In practice, validation is often neglected completely or only done in a sloppy way. As a consequence, some purported results from computer simulations have later turned out to rest on numerical artefacts. In the absence of clear guidelines, the method of computer simulation, successful as it might seem, is not yet fully developed.

To validate the results of simulations is to make a case for them, to argue that they are realistic, or to enhance their plausibility. Put this way, validation seems fairly straightforward, but, as a matter of fact, it is not well-understood and even controversial from a theoretical point of view. Already the very term "validation" is a matter of debate, as the term is misleading because a simulation cannot be shown to be true or valid except in trivial cases. It is further discussed how validation is related to what people call verification, i.e. the attempt to show that a simulation reliably traces the predictions of a model. Another key question is how one can determine the overall confidence of simulation results if a number of tests have been carried out.

Addressing this dissatisfying understanding of validation, this book presents a methodological and philosophical discussion about the validation of computer simulation and of its techniques. The work covers the basic notions and ideas underlying validation (e.g. the notions of validation, verification and error, are clarified), conceptualizes the concept of validation in frameworks from the philosophy of science (e.g. in Bayesian epistemology), and presents practical guidelines and important techniques for validation (e.g. introducing the quantification of uncertainties). The volume also reviews the challenges of validation (e.g. considering the sparseness of data) and offers examples of best practice. This is achieved through an interdisciplinary collection of authors that includes computer scientists (who discuss the most important approaches to validation), mathematicians and statisticians (who present mathematical techniques for validation), and working scientists from various fields (who present best practice examples of validation and reflect about related challenges).
Fluid Simulation for Computer Graphics, Second Edition

Автор: Bridson
Название: Fluid Simulation for Computer Graphics, Second Edition
ISBN: 1482232839 ISBN-13(EAN): 9781482232837
Издательство: Taylor&Francis
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Цена: 12554.00 р.
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Описание:

A practical introduction, the second edition of Fluid Simulation for Computer Graphics shows you how to animate fully three-dimensional incompressible flow. It covers all the aspects of fluid simulation, from the mathematics and algorithms to implementation, while making revisions and updates to reflect changes in the field since the first edition.

Highlights of the Second Edition

  • New chapters on level sets and vortex methods
  • Emphasizes hybrid particle-voxel methods, now the industry standard approach
  • Covers the latest algorithms and techniques, including: fluid surface reconstruction from particles; accurate, viscous free surfaces for buckling, coiling, and rotating liquids; and enhanced turbulence for smoke animation
  • Adds new discussions on meshing, particles, and vortex methods

The book changes the order of topics as they appeared in the first edition to make more sense when reading the first time through. It also contains several updates by distilling author Robert Bridson's experience in the visual effects industry to highlight the most important points in fluid simulation. It gives you an understanding of how the components of fluid simulation work as well as the tools for creating your own animations.

Computer Modeling for Injection Molding - Simulation, Optimization, and Control

Автор: Zhou
Название: Computer Modeling for Injection Molding - Simulation, Optimization, and Control
ISBN: 0470602996 ISBN-13(EAN): 9780470602997
Издательство: Wiley
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Цена: 20742.00 р.
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Описание: This book covers a wide range of applications and uses of simulation and modeling techniques in polymer injection molding, filling a noticeable gap in the literature of design, manufacturing, and the use of plastics injection molding.

Analysis and Simulation of Electrical and Computer Systems

Автор: Damian Mazur; Marek Go??biowski; Mariusz Korkosz
Название: Analysis and Simulation of Electrical and Computer Systems
ISBN: 331963948X ISBN-13(EAN): 9783319639482
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book addresses selected topics in electrical engineering, electronics and mechatronics that have posed serious challenges for both the scientific and engineering communities in recent years.

Agent-Based Computer Simulation of Dichotomous Economic Growth

Автор: Roger A. McCain
Название: Agent-Based Computer Simulation of Dichotomous Economic Growth
ISBN: 0792386884 ISBN-13(EAN): 9780792386889
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Agent-Based Computer Simulation of Dichotomous Economic Growth reports a project in agent-based computer stimulation of processes of economic growth in a population of boundedly rational learning agents.

Computer Simulation and Computer Algebra

Автор: Dietrich Stauffer; Friedrich W Hehl; Nobuyasu Ito;
Название: Computer Simulation and Computer Algebra
ISBN: 3540565302 ISBN-13(EAN): 9783540565307
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Beginning with simple examples in classical mechanics, this textbook discusses simulations in statistical physics using FORTRAN and proceeds to explain in detail the use of computer algebra. The edition has been expanded to include an introduction to both vector and parallel computing.


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