Continuous System Simulation, D.J. Murray-Smith

Автор: Xue
Название: System Simulation Techniques with MATLAB and Simulink
ISBN: 1118647920 ISBN-13(EAN): 9781118647929
Издательство: Wiley
Рейтинг:
Цена: 94990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: System Simulation Techniques with MATLAB and Simulink comprehensively explains how to use MATLAB and Simulink to perform dynamic systems simulation tasks for engineering and non-engineering applications.

Автор: Brandimarte P
Название: Handbook in Monte Carlo Simulation
ISBN: 0470531118 ISBN-13(EAN): 9780470531112
Издательство: Wiley
Рейтинг:
Цена: 136170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applications of Monte Carlo methods in financial engineering and economics.

Автор: Asmussen
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 038730679X ISBN-13(EAN): 9780387306797
Издательство: Springer
Рейтинг:
Цена: 46540.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first  half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of  examples, exercises and applications students, practitioners and researchers in  probability, statistics, operations research, economics, finance, engineering  as well as biology and chemistry and physics will find the book of value.  Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of  Engineering at Stanford University. 

Автор: Mohammad S. Obaidat; Georgios I. Papadimitriou
Название: Applied System Simulation
ISBN: 1461348439 ISBN-13(EAN): 9781461348436
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Simulation and molding are efficient techniques that can aid the city and regional planners and engineers in optimizing the operation of urban systems such as traffic light control, highway toll automation, consensus building, public safety, and environmental protection.

Автор: Brailsford
Название: Discrete-Event Simulation and System Dynamics for Management Decision Making
ISBN: 1118349024 ISBN-13(EAN): 9781118349021
Издательство: Wiley
Рейтинг:
Цена: 82310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, there has been a growing debate, particularly in the UK and Europe, over the merits of using discrete-event simulation (DES) and system dynamics (SD); there are now instances where both methodologies were employed on the same problem.

Автор: Reinhold von Schwerin
Название: MultiBody System SIMulation
ISBN: 3540656626 ISBN-13(EAN): 9783540656623
Издательство: Springer
Рейтинг:
Цена: 153720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text presents innovative methods for the solution of multibody descriptor models. It emphasizes the interdependence of modelling and numerical solutions of the arising system of differential algebraic equations and stresses the importance of software development in scientific computing.

Автор: Camelia Florela Voinea
Название: Political Attitudes - Computational and Simulation Modelling
ISBN: 1118833147 ISBN-13(EAN): 9781118833148
Издательство: Wiley
Рейтинг:
Цена: 59080.00 T
Наличие на складе: Поставка под заказ.
Описание: Political Science has traditionally employed empirical research and analytical resources to understand, explain and predict political phenomena. One of the long-standing criticisms against empirical modeling targets the static perspective provided by the model-invariant paradigm.