Tag: Processes

Stochastic Processes General Theory


Free Download Stochastic Processes: General Theory By M. M. Rao (auth.)
1995 | 628 Pages | ISBN: 1441947493 | PDF | 22 MB
Stochastic Processes: General Theory starts with the fundamental existence theorem of Kolmogorov, together with several of its extensions to stochastic processes. It treats the function theoretical aspects of processes and includes an extended account of martingales and their generalizations. Various compositions of (quasi- or semi-)martingales and their integrals are given. Here the Bochner boundedness principle plays a unifying role: a unique feature of the book. Applications to higher order stochastic differential equations and their special features are presented in detail. Stochastic processes in a manifold and multiparameter stochastic analysis are also discussed. Each of the seven chapters includes complements, exercises and extensive references: many avenues of research are suggested. The book is a completely revised and enlarged version of the author’s Stochastic Processes and Integration (Noordhoff, 1979). The new title reflects the content and generality of the extensive amount of new material. Audience: Suitable as a text/reference for second year graduate classes and seminars. A knowledge of real analysis, including Lebesgue integration, is a prerequisite.

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Radiative Processes in High Energy Astrophysics


Free Download Radiative Processes in High Energy Astrophysics By Gabriele Ghisellini (auth.)
2013 | 147 Pages | ISBN: 3319006118 | PDF | 3 MB
This book grew out of the author’s notes from his course on Radiative Processes in High Energy Astrophysics. The course provides fundamental definitions of radiative processes and serves as a brief introduction to Bremsstrahlung and black body emission, relativistic beaming, synchrotron emission and absorption, Compton scattering, synchrotron self-compton emission, pair creation and emission. The final chapter discusses the observed features of Active Galactic Nuclei and their interpretation based on the radiative processes presented in the book. Written in an informal style, this book will guide students through their first encounter with high-energy astrophysics.

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Probability Theory, Random Processes and Mathematical Statistics


Free Download Probability Theory, Random Processes and Mathematical Statistics By Yu. A. Rozanov (auth.)
1995 | 259 Pages | ISBN: 9401042012 | PDF | 5 MB
Probability Theory, Theory of Random Processes and Mathematical Statistics are important areas of modern mathematics and its applications. They develop rigorous models for a proper treatment for various ‘random’ phenomena which we encounter in the real world. They provide us with numerous tools for an analysis, prediction and, ultimately, control of random phenomena. Statistics itself helps with choice of a proper mathematical model (e.g., by estimation of unknown parameters) on the basis of statistical data collected by observations. This volume is intended to be a concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern Probability, Random Processes and Statistics. The first part (Ch. 1-3) can serve as a self-contained, elementary introduction to Probability, Random Processes and Statistics. It contains a number of relatively sim ple and typical examples of random phenomena which allow a natural introduction of general structures and methods. Only knowledge of elements of real/complex analysis, linear algebra and ordinary differential equations is required here. The second part (Ch. 4-6) provides a foundation of Stochastic Analysis, gives information on basic models of random processes and tools to study them. Here a familiarity with elements of functional analysis is necessary. Our intention to make this course fast-moving made it necessary to present important material in a form of examples.

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Discrete-Time Markov Control Processes Basic Optimality Criteria


Free Download Discrete-Time Markov Control Processes: Basic Optimality Criteria By Onésimo Hernández-Lerma, Jean Bernard Lasserre (auth.)
1996 | 216 Pages | ISBN: 1461268842 | PDF | 6 MB
This book presents the first part of a planned two-volume series devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes (MCPs). Interest is mainly confined to MCPs with Borel state and control (or action) spaces, and possibly unbounded costs and noncompact control constraint sets. MCPs are a class of stochastic control problems, also known as Markov decision processes, controlled Markov processes, or stochastic dynamic pro grams; sometimes, particularly when the state space is a countable set, they are also called Markov decision (or controlled Markov) chains. Regardless of the name used, MCPs appear in many fields, for example, engineering, economics, operations research, statistics, renewable and nonrenewable re source management, (control of) epidemics, etc. However, most of the lit erature (say, at least 90%) is concentrated on MCPs for which (a) the state space is a countable set, and/or (b) the costs-per-stage are bounded, and/or (c) the control constraint sets are compact. But curiously enough, the most widely used control model in engineering and economics–namely the LQ (Linear system/Quadratic cost) model-satisfies none of these conditions. Moreover, when dealing with "partially observable" systems) a standard approach is to transform them into equivalent "completely observable" sys tems in a larger state space (in fact, a space of probability measures), which is uncountable even if the original state process is finite-valued.

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Branching Processes Proceedings of the First World Congress


Free Download Branching Processes: Proceedings of the First World Congress By Harry Cohn (auth.), C. C. Heyde (eds.)
1995 | 179 Pages | ISBN: 0387979891 | PDF | 5 MB
This volume presents the edited proceedings of the First World Congress on Branching Processes. The contributions present new research and surveys of the current research activity in this field. As a result, all those undertaking research in the subject will find this a timely and high-quality volume to have on their shelves.

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Random Sums and Branching Stochastic Processes


Free Download Random Sums and Branching Stochastic Processes By Ibrahim Rahimov (auth.)
1995 | 195 Pages | ISBN: 038794446X | PDF | 5 MB
The aim of this monograph is to show how random sums (that is, the summation of a random number of dependent random variables) may be used to analyse the behaviour of branching stochastic processes. The author shows how these techniques may yield insight and new results when applied to a wide range of branching processes. In particular, processes with reproduction-dependent and non-stationary immigration may be analysed quite simply from this perspective. On the other hand some new characterizations of the branching process without immigration dealing with its genealogical tree can be studied. Readers are assumed to have a firm grounding in probability and stochastic processes, but otherwise this account is self-contained. As a result, researchers and graduate students tackling problems in this area will find this makes a useful contribution to their work.

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Weathering Types, Processes and Effects


Free Download Matthew J. Colon, "Weathering: Types, Processes and Effects "
English | ISBN: 1613242808 | 2011 | 215 pages | PDF | 6 MB
Weathering is an important phenomenon of the geochemical cycle as it contributes to the relief formation. It corresponds to a general term applied to physical and chemical changes suffered by rocks as a consequence of their exposition to different conditions of humidity and temperature. In this book, the authors present topical research in the study of the types, processes and effects of weathering. It discusses topics that include the use of weathering indices in rock research; geomorphic processes in the last glacial age; understanding chemical weathering in affecting the Earth’s surface; weathering of dimensional granite stones used as cladding; and, the weathering process and desert pavement development.

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Systems and Decision Processes in Management, Innovation and Sustainability


Free Download Systems and Decision Processes in Management, Innovation and Sustainability
English | 2024 | ISBN: 3031693817 | 419 Pages | PDF EPUB (True) | 41 MB
The book presents a series of papers with different methodologies that allow us to visualize how the systems support decision-making in areas such as the tourism sector, entrepreneurship, quality of work life, gender, motivation, circular economy, innovation, law, finance, and bibliometrics. The book also finds a series of cases applied in different countries, where through the information collected and the data analyzed, new improvement processes can be generated at the business level and the local, regional, and national levels within Ibero-America. The book presents new methods and systems to create better decision-making processes in the changing and uncertain environments in which people, companies, and governments interact.

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