This volume includes a selection of papers presented at the GAMM/ IFIPWorkshop on IIStochastic Optimization: Numerical Methods and ll Technical Applications, held at the Federal...
This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It...
Stochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study of structural properties of complex...
The present volume analyzes mathematical models of timedependent physical p nomena on three levels: microscopic, mesoscopic, and macroscopic. We provide a rigorous derivation of each...
The present volume analyzes mathematical models of timedependent physical p nomena on three levels: microscopic, mesoscopic, and macroscopic. We provide a rigorous derivation of each...
Stochastic petri nets have proven to be a useful tool for modelling and performance analysis of complex discreteevent stochastic systems such as those in telecommunications,...
This book contains all invited contributions of an interdisciplinary workshop of the UNESCO working group on systems analysis of the European and North American region...
Stochastic portfolio theory is a mathematical methodology for constructing stock portfolios and for analyzing the effects induced on the behavior of these portfolios by changes...
It has been known for a long time that there is a close connection between stochastic processes and orthogonal polynomials. For example, N. Wiener [112]...
Basic concepts and techniques in the theory of stochastic processes introduction to Markov processes. Gaussian stochastic processes. FokkerPlanck equations for stochastic processes. Stochastic differential equations....
This accessible introduction to the theory of stochastic processes emphasizes Levy processes and Markov processes. It gives a thorough treatment of the decomposition of paths...
Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the...
Samplingbased computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and...
This volume contains eighteen selected papers presented at the Second International Conference on Stochastic Structural Dynamics, which are related to new practical applications in the...
This workshop on stochastic theory and adaptive control assembled many of the leading researchers on stochastic control and stochastic adaptive control to increase scientific exchange...
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This volume includes a selection of papers presented at the GAMM/ IFIPWorkshop on IIStochastic Optimization: Numerical Methods and ll Technical Applications, held at the Federal...
This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It...
Stochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study of structural properties of complex...
The present volume analyzes mathematical models of timedependent physical p nomena on three levels: microscopic, mesoscopic, and macroscopic. We provide a rigorous derivation of each...
The present volume analyzes mathematical models of timedependent physical p nomena on three levels: microscopic, mesoscopic, and macroscopic. We provide a rigorous derivation of each...
Stochastic petri nets have proven to be a useful tool for modelling and performance analysis of complex discreteevent stochastic systems such as those in telecommunications,...
This book contains all invited contributions of an interdisciplinary workshop of the UNESCO working group on systems analysis of the European and North American region...
Stochastic portfolio theory is a mathematical methodology for constructing stock portfolios and for analyzing the effects induced on the behavior of these portfolios by changes...
It has been known for a long time that there is a close connection between stochastic processes and orthogonal polynomials. For example, N. Wiener [112]...
Basic concepts and techniques in the theory of stochastic processes introduction to Markov processes. Gaussian stochastic processes. FokkerPlanck equations for stochastic processes. Stochastic differential equations....
This accessible introduction to the theory of stochastic processes emphasizes Levy processes and Markov processes. It gives a thorough treatment of the decomposition of paths...
Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the...
Samplingbased computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and...
This volume contains eighteen selected papers presented at the Second International Conference on Stochastic Structural Dynamics, which are related to new practical applications in the...
This workshop on stochastic theory and adaptive control assembled many of the leading researchers on stochastic control and stochastic adaptive control to increase scientific exchange...
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