Numerical Modelling of Random Processes and Fields

Numerical Modelling of Random Processes and Fields
Title Numerical Modelling of Random Processes and Fields PDF eBook
Author V. A. Ogorodnikov
Publisher Walter de Gruyter GmbH & Co KG
Pages 252
Release 2018-11-05
Genre Mathematics
ISBN 3110941996

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No detailed description available for "Numerical Modelling of Random Processes and Fields".

Simulation of Stochastic Processes with Given Accuracy and Reliability

Simulation of Stochastic Processes with Given Accuracy and Reliability
Title Simulation of Stochastic Processes with Given Accuracy and Reliability PDF eBook
Author Yuriy V. Kozachenko
Publisher Elsevier
Pages 348
Release 2016-11-22
Genre Mathematics
ISBN 0081020856

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Simulation has now become an integral part of research and development across many fields of study. Despite the large amounts of literature in the field of simulation and modeling, one recurring problem is the issue of accuracy and confidence level of constructed models. By outlining the new approaches and modern methods of simulation of stochastic processes, this book provides methods and tools in measuring accuracy and reliability in functional spaces. The authors explore analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random variables and processes and Cox processes. Methods of simulation of stochastic processes and fields with given accuracy and reliability in some Banach spaces are also considered. - Provides an analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random variables and processes - Contains information on the study of the issue of accuracy and confidence level of constructed models not found in other books on the topic - Provides methods and tools in measuring accuracy and reliability in functional spaces

Spectral Models of Random Fields in Monte Carlo Methods

Spectral Models of Random Fields in Monte Carlo Methods
Title Spectral Models of Random Fields in Monte Carlo Methods PDF eBook
Author Serge M. Prigarin
Publisher VSP
Pages 220
Release 2001
Genre Science
ISBN 9789067643436

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Spectral models were developed in the 1970s and have appeared to be very promising for various applications. Nowadays, spectral models are extensively used for stochastic simulation in atmosphere and ocean optics, turbulence theory, analysis of pollution transport for porous media, astrophysics, and other fields of science. The spectral models presented in this monograph represent a new class of numerical methods aimed at simulation of random processes and fields. The book is divided into four chapters, which deal with scalar spectral models and some of their applications, vector-valued spectral models, convergence of spectral models, and problems of optimisation and convergence for functional Monte Carlo methods. Furthermore, the monograph includes four appendices, in which auxiliary information is presented and additional problems are discussed. The book will be of value and interest to experts in Monte Carlo methods, as well as to those interested in the theory and applications of stochastic simulation.

Topics in Statistical Simulation

Topics in Statistical Simulation
Title Topics in Statistical Simulation PDF eBook
Author V.B. Melas
Publisher Springer
Pages 531
Release 2014-12-05
Genre Mathematics
ISBN 1493921045

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The Department of Statistical Sciences of the University of Bologna in collaboration with the Department of Management and Engineering of the University of Padova, the Department of Statistical Modelling of Saint Petersburg State University, and INFORMS Simulation Society sponsored the Seventh Workshop on Simulation. This international conference was devoted to statistical techniques in stochastic simulation, data collection, analysis of scientific experiments, and studies representing broad areas of interest. The previous workshops took place in St. Petersburg, Russia in 1994, 1996, 1998, 2001, 2005, and 2009. The Seventh Workshop took place in the Rimini Campus of the University of Bologna, which is in Rimini’s historical center.

Simulation and Modeling Methodologies, Technologies and Applications

Simulation and Modeling Methodologies, Technologies and Applications
Title Simulation and Modeling Methodologies, Technologies and Applications PDF eBook
Author Mohammad S. Obaidat
Publisher Springer
Pages 376
Release 2018-11-20
Genre Technology & Engineering
ISBN 3030014703

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This book highlights a set of selected, revised and extended papers from the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2017), held in Madrid, Spain, on July 26 to 28, 2017. The conference brought together researchers, engineers and practitioners whose work involves methodologies in and applications of modeling and simulation. The papers showcased here represent the very best papers from the Conference, and report on a broad range of new and innovative solutions.

Stochastic Systems

Stochastic Systems
Title Stochastic Systems PDF eBook
Author Mircea Grigoriu
Publisher Springer Science & Business Media
Pages 534
Release 2012-05-15
Genre Technology & Engineering
ISBN 1447123271

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Uncertainty is an inherent feature of both properties of physical systems and the inputs to these systems that needs to be quantified for cost effective and reliable designs. The states of these systems satisfy equations with random entries, referred to as stochastic equations, so that they are random functions of time and/or space. The solution of stochastic equations poses notable technical difficulties that are frequently circumvented by heuristic assumptions at the expense of accuracy and rigor. The main objective of Stochastic Systems is to promoting the development of accurate and efficient methods for solving stochastic equations and to foster interactions between engineers, scientists, and mathematicians. To achieve these objectives Stochastic Systems presents: A clear and brief review of essential concepts on probability theory, random functions, stochastic calculus, Monte Carlo simulation, and functional analysis Probabilistic models for random variables and functions needed to formulate stochastic equations describing realistic problems in engineering and applied sciences Practical methods for quantifying the uncertain parameters in the definition of stochastic equations, solving approximately these equations, and assessing the accuracy of approximate solutions Stochastic Systems provides key information for researchers, graduate students, and engineers who are interested in the formulation and solution of stochastic problems encountered in a broad range of disciplines. Numerous examples are used to clarify and illustrate theoretical concepts and methods for solving stochastic equations. The extensive bibliography and index at the end of the book constitute an ideal resource for both theoreticians and practitioners.

Frontiers in Ecology Research

Frontiers in Ecology Research
Title Frontiers in Ecology Research PDF eBook
Author Stephanie D. Antonello
Publisher Nova Publishers
Pages 314
Release 2007
Genre Nature
ISBN 9781600210600

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Ecology is the study of the interrelationships between organisms and their environment, including the biotic and abiotic components. There are at least six kinds of ecology: ecosystem, physiological, behavioural, population, and community; specific topics include: Acid Deposition, Acid Rain Revisited, Biodiversity, Biocomplexity, Carbon Sequestration in Soils, Coral Reefs, Ecosystem Services, Environmental Justice, Fire Ecology, Floods, Global Climate Change, Hypoxia, and Invasion. This book presents new research on ecology from around the world.