Download or read book Control of Spatially Structured Random Processes and Random Fields with Applications written by Ruslan K. Chornei and published by Springer Science & Business Media. This book was released on 2006-09-03 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the study and optimization of spatiotemporal stochastic processes - processes which develop simultaneously in space and time under random influences. These processes are seen to occur almost everywhere when studying the global behavior of complex systems. The book presents problems and content not considered in other books on controlled Markov processes, especially regarding controlled Markov fields on graphs.
Download or read book Recent Developments in Data Science and Intelligent Analysis of Information written by Oleg Chertov and published by Springer. This book was released on 2018-08-04 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis of Information, was renamed in 2008 to reflect the broadening of its scope and the composition of its organizers and participants. ICDSIAI'2018 brought together a large number of participants from numerous countries in Europe, Asia and the USA. The papers presented addressed novel theoretical developments in methods, algorithms and implementations for the broadly perceived areas of big data mining and intelligent analysis of data and information, representation and processing of uncertainty and fuzziness, including contributions on a range of applications in the fields of decision-making and decision support, economics, education, ecology, law, and various areas of technology. The book is dedicated to the memory of the conference founder, the late Professor Tetiana Taran, an outstanding scientist in the field of artificial intelligence whose research record, vision and personality have greatly contributed to the development of Ukrainian artificial intelligence and computer science.
Download or read book Intelligent Control and Smart Energy Management written by Maude Josée Blondin and published by Springer Nature. This book was released on 2022-05-28 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow’s scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.
Download or read book Topical Directions of Informatics written by Ivan V. Sergienko and published by Springer Science & Business Media. This book was released on 2014-04-01 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work is devoted to the late Ukrainian computer scientist V. M. Glushkov on the 90th anniversary of his birthday. Dr. Glushkov is known for his contribution to the world computer science and technology and this volume analyzes the ideas and paths of development of informatics formulated by him and demonstrate their important role in constructing computer technologies of basic research in the fields of applied mathematics, theories of computer programming and computing systems. A significant portion of the monograph is devoted to the elucidation of new results obtained in the field of mathematical modeling of complicated processes, creation of new methods for solving and investigating optimization problems in different statements and development of computer technologies for investigations in the field of economy, biology, medicine and information security in systems. The monograph will be of particular interest to informatics specialists and experts using methods of informatics and computer technologies to investigate complicated processes of different natures and developing new information technologies. It may also be useful for both graduate students and postgraduates specializing in Computer Science.
Download or read book Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity written by Ivan V. Sergienko and published by Springer Science & Business Media. This book was released on 2012-07-27 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents lines of investigation and scientific achievements of the Ukrainian school of optimization theory and adjacent disciplines. These include the development of approaches to mathematical theories, methodologies, methods, and application systems for the solution of applied problems in economy, finances, energy saving, agriculture, biology, genetics, environmental protection, hardware and software engineering, information protection, decision making, pattern recognition, self-adapting control of complicated objects, personnel training, etc. The methods developed include sequential analysis of variants, nondifferential optimization, stochastic optimization, discrete optimization, mathematical modeling, econometric modeling, solution of extremum problems on graphs, construction of discrete images and combinatorial recognition, etc. Some of these methods became well known in the world's mathematical community and are now known as classic methods.
Download or read book Random Fields on a Network written by Xavier Guyon and published by Springer Science & Business Media. This book was released on 1995-06-23 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of spatial models over lattices, or random fields as they are known, has developed significantly over recent years. This book provides a graduate-level introduction to the subject which assumes only a basic knowledge of probability and statistics, finite Markov chains, and the spectral theory of second-order processes. A particular strength of this book is its emphasis on examples - both to motivate the theory which is being developed, and to demonstrate the applications which range from statistical mechanics to image analysis and from statistics to stochastic algorithms.
Download or read book Random Fields written by Erik Vanmarcke and published by World Scientific. This book was released on 2010 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random variation is a fact of life that provides substance to a wide range of problems in the sciences, engineering, and economics. There is a growing need in diverse disciplines to model complex patterns of variation and interdependence using random fields, as both deterministic treatment and conventional statistics are often insufficient. An ideal random field model will capture key features of complex random phenomena in terms of a minimum number of physically meaningful and experimentally accessible parameters. This volume, a revised and expanded edition of an acclaimed book first published by the M I T Press, offers a synthesis of methods to describe and analyze and, where appropriate, predict and control random fields. There is much new material, covering both theory and applications, notably on a class of probability distributions derived from quantum mechanics, relevant to stochastic modeling in fields such as cosmology, biology and system reliability, and on discrete-unit or agent-based random processes.Random Fields is self-contained and unified in presentation. The first edition was found, in a review in EOS (American Geophysical Union) to be ?both technically interesting and a pleasure to read ? the presentation is clear and the book should be useful to almost anyone who uses random processes to solve problems in engineering or science ? and (there is) continued emphasis on describing the mathematics in physical terms.?
Download or read book Spatial Field Reconstruction of Non Gaussian Random Fields written by Sai Ganesh Nagarajan and published by . This book was released on 2018 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new class of models for non-Gaussian spatial random fields is developed for spatial field reconstruction in environmental and sensory network monitoring. The developed family of models utilises a class of transformation functions known as the Tukey g-and-h transformation to create a new class of warped spatial Gaussian process model which can support various desirable features such as flexible marginal distributions, which can be skewed and/or heavy-tailed. The resulting model is widely applicable for a wide range of spatial field reconstruction applications. To utilise the model for such applications in practice, we first need to derive the statistical properties of the new family of Tukey g-and-h random fields. We are then able to derive five different objectives to perform spatial field reconstruction. These include the Minimum Mean Squared Error (MMSE), Maximum A-Posteirori (MAP) and the Spatial-Best Linear Unbiased (S-BLUE) estimators as well as the Spatial Regional and Level Exceedance estimators. Extensive simulation results and real data examples show the benefits of using the Tukey g-and-h transformation as opposed to standard Gaussian spatial random fields as is classically utilised.
Download or read book Application of Big Data Blockchain and Internet of Things for Education Informatization written by Yinjun Zhang and published by Springer Nature. This book was released on with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Applications of Stochastic Programming written by Stein W. Wallace and published by SIAM. This book was released on 2005-06-01 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consisting of two parts, this book presents papers describing publicly available stochastic programming systems that are operational. It presents a diverse collection of application papers in areas such as production, supply chain and scheduling, gaming, environmental and pollution control, financial modeling, telecommunications, and electricity.
Download or read book Gaussian Markov Random Fields written by Håvard Rue and published by Chapman & Hall/CRC Monographs on Statistics and Applied Probability. This book was released on 2023-01-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.
Download or read book Mathematical Reviews written by and published by . This book was released on 2007 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Spatial Applications of Markov Random Fields and Neural Networks for Spatio temporal Denoising Causal Inference and Reinforcement Learning written by Mauricio Benjamín García Tec and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete spatial structures are ubiquitous in statistical analysis. They can take the form of images, grids, and more generally, graphs. This work develops novel methodology leading to broadly applicable algorithms of graph smoothing and neural newtorks to improve statistical learning in a variety of tasks and spatially-structured domains, including temporal and sequential decision-making processes. Thus, each chapter corresponds to a case study with applications in spatio-temporal denoising, causal inference, and reinforcement learning. Graph smoothing methods are used in all of them and their effectiveness is evaluated. In addition, some chapters develop more specialized methods that further exploit the spatial and statistical structure of the data. One of the objectives sustained throughout the work will be developing scalable algorithms to handle high-resolution spatial data or other computationally demanding scenarios
Download or read book Invariant Random Fields on Spaces with a Group Action written by Anatoliy Malyarenko and published by Springer Science & Business Media. This book was released on 2012-10-26 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author describes the current state of the art in the theory of invariant random fields. This theory is based on several different areas of mathematics, including probability theory, differential geometry, harmonic analysis, and special functions. The present volume unifies many results scattered throughout the mathematical, physical, and engineering literature, as well as it introduces new results from this area first proved by the author. The book also presents many practical applications, in particular in such highly interesting areas as approximation theory, cosmology and earthquake engineering. It is intended for researchers and specialists working in the fields of stochastic processes, statistics, functional analysis, astronomy, and engineering.
Download or read book Numerical Modelling of Random Processes and Fields written by V. A. Ogorodnikov and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-11-05 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Numerical Modelling of Random Processes and Fields".
Download or read book Introduction to Random Processes written by William A. Gardner and published by . This book was released on 1986 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book 1st International Conference on Advances in Mineral Resources Management and Environmental Geotechnology written by Zacharias Agioutantis and published by HELIOTOPOS CONFERENCES. This book was released on 2004 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt:
