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Stochastic processes --- Stochastic systems --- Systèmes stochastiques --- 10.01.a --- Verzekeringswiskunde ; Waarschijnlijkheidsrekening --- Systèmes stochastiques --- Systems, Stochastic --- System analysis
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Stochastic systems
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Signal processing --- Stochastic processes --- Stochastic systems --- Signalen --- Systems, Stochastic --- System analysis --- Random processes --- Probabilities --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Signal processing. --- Stochastic processes. --- Stochastic systems.
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Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical description, where random processes and fields express the input parameters and solutions. The fundamental problem of stochastic dynamics is to identify the essential characteristics of the system (its state and evolution), and relate those to the input parameters of the system and initial data. This book i
Stochastic systems. --- Differentiable dynamical systems. --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Systems, Stochastic --- Stochastic processes --- System analysis
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This volume is a collection of solicited and refereed articles from distinguished researchers across the field of stochastic analysis and its application to finance. The articles represent new directions and newest developments in this exciting and fast growing area. The covered topics range from Markov processes, backward stochastic differential equations, stochastic partial differential equations, stochastic control, potential theory, functional inequalities, optimal stopping, portfolio selection, to risk measure and risk theory. It will be a very useful book for young researchers who want t
Stochastic analysis. --- Stochastic processes. --- Stochastic systems. --- Systems, Stochastic --- Stochastic processes --- System analysis --- Random processes --- Probabilities --- Analysis, Stochastic --- Mathematical analysis --- Stochastic analysis --- Stochastic systems --- E-books
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Numerical approximation theory --- 519.25 --- 519.7 --- Numerical analysis --- -Stochastic systems --- -Systems, Stochastic --- Stochastic processes --- System analysis --- Mathematical analysis --- Statistical data handling --- Mathematical cybernetics --- Addresses, essays, lectures --- Numerical analysis. --- Stochastic systems. --- -Statistical data handling --- 519.7 Mathematical cybernetics --- 519.25 Statistical data handling --- -519.7 Mathematical cybernetics --- Systems, Stochastic --- Stochastic systems
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Equilibrium --- Stochastic systems --- Equilibre --- Systèmes stochastiques --- 519.217 --- Systems, Stochastic --- Stochastic processes --- System analysis --- Balance --- Balance (Physics) --- Balancing (Physics) --- Stability --- Statics --- Markov processes --- 519.217 Markov processes --- Systèmes stochastiques
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The book is devoted to studies of quasi-stationary phenomena in nonlinearly perturbed stochastic systems. New methods of asymptotic analysis for nonlinearly perturbed stochastic processes based on new types of asymptotic expansions for perturbed renewal equation and recurrence algorithms for construction of asymptotic expansions for Markov type processes with absorption are presented. Asymptotic expansions are given in mixed ergodic (for processes) and large deviation theorems (for absorption times) for nonlinearly perturbed regenerative processes, semi-Markov processes, and Markov chains. Applications to analysis of quasi-stationary phenomena in nonlinearly perturbed queueing systems, population dynamics and epidemic models, and for risk processes are presented. The book also contains an extended bibliography of works in the area. It is an essential reference for theoretical and applied researchers in the field of stochastic processes and their applications and may be also useful for doctoral and advanced undergraduate students.
Quasistationarer Zustand --- Stochastisches System --- Storungstheorie --- Stochastic systems. --- Stochastic processes. --- Random processes --- Systems, Stochastic --- Probabilities --- Stochastic processes --- System analysis --- Markov Chains. --- Nonlinearly Perturbed Regenerative Processes. --- Renewal Equation. --- Semi-Markov Processes.
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Reliability modeling has been a major concern for engineers and managers engaged in high quality system designs. This book presents the recent advancement in reliability theory and reliability engineering. Starting from maintenance policies, the book introduces reliability analysis to systems using stochastic processes to study their optimization problems. In this book, the authors will illustrate how these techniques of reliability are applied to solve optimization problems in computer, information and network systems.
Reliability (Engineering) --- Stochastic systems. --- Reliability of equipment --- Systems reliability --- Engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Systems, Stochastic --- Stochastic processes --- System analysis
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