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Stochastic Integral Equations and RainfallRunoff Models,Used Stochastic Integral Equations and RainfallRunoff Models,Used
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Stochastic Integral Equations and RainfallRunoff Models,Used
The subject of rainfallrunoff modeling involves a wide spectrum of topics. Fundamental to each topic is the problem of accurately computing runoff at a point...
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Stochastic Integration and Differential Equations,New Stochastic Integration and Differential Equations,New
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Stochastic Integration and Differential Equations,New
It has been 15 years since the first edition of Stochastic Integration and Differential Equations, A New Approach appeared, and in those years many other...
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Stochastic Integration and Differential Equations,Used Stochastic Integration and Differential Equations,Used
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Stochastic Integration and Differential Equations,Used
It has been 15 years since the first edition of Stochastic Integration and Differential Equations, A New Approach appeared, and in those years many other...
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Stochastic LinearQuadratic Optimal Control Theory: OpenLoop and ClosedLoop Solutions: Volume 1 (SpringerBriefs in Mathematics,Used Stochastic LinearQuadratic Optimal Control Theory: OpenLoop and ClosedLoop Solutions: Volume 1 (SpringerBriefs in Mathematics,Used
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Stochastic LinearQuadratic Optimal Control Theory: OpenLoop and ClosedLoop Solutions: Volume...
This book gathers the most essential results, including recent ones, on linearquadratic optimal control problems, which represent an important aspect of stochastic control. It presents...
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Stochastic Methods (Springer Series in Synergetics, 13),New Stochastic Methods (Springer Series in Synergetics, 13),New
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Stochastic Methods (Springer Series in Synergetics, 13),New
This fourth edition of Stochastic Methods is thoroughly revised and augmented, and has been completely reset. While keeping to the spirit of the book I...
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Stochastic Methods (Springer Series in Synergetics, 13),Used Stochastic Methods (Springer Series in Synergetics, 13),Used
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Stochastic Methods (Springer Series in Synergetics, 13),Used
This fourth edition of Stochastic Methods is thoroughly revised and augmented, and has been completely reset. While keeping to the spirit of the book I...
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Stochastic Methods: A Handbook for the Natural and Social Sciences (Springer Series in Synergetics, 13),Used Stochastic Methods: A Handbook for the Natural and Social Sciences (Springer Series in Synergetics, 13),Used
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Stochastic Methods: A Handbook for the Natural and Social Sciences...
The Handbook of Stochastic Methods covers systematically and in simple language the foundations of Markov systems, stochastic differential equations, FokkerPlanck equations and stochastic master equations....
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Stochastic Modeling And Optimization Of Manufacturing Systems And Supply Chains (International Series In Operations Research & M,New Stochastic Modeling And Optimization Of Manufacturing Systems And Supply Chains (International Series In Operations Research & M,New
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Stochastic Modeling And Optimization Of Manufacturing Systems And Supply Chains...
This volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at...
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Stochastic Modeling and Optimization: With Applications in Queues, Finance, and Supply Chains (Springer Series in Operations Res,Used Stochastic Modeling and Optimization: With Applications in Queues, Finance, and Supply Chains (Springer Series in Operations Res,Used
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Stochastic Modeling and Optimization: With Applications in Queues, Finance, and...
The objective of this volume is to highlight through a collection of chap ters some of the recent research works in applied prob ability, specifically...
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Stochastic Network Calculus (Computer Communications and Networks),Used Stochastic Network Calculus (Computer Communications and Networks),Used
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Stochastic Network Calculus (Computer Communications and Networks),Used
Network calculus is a theory dealing with queuing systems found in computer networks. Its focus is on performance guarantees. Central to the theory is the...
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Stochastic Ordering And Dependence In Applied Probability (Lecture Notes In Statistics, 97) Stochastic Ordering And Dependence In Applied Probability (Lecture Notes In Statistics, 97)
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Stochastic Ordering And Dependence In Applied Probability (Lecture Notes In...
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...
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Stochastic Orders (Springer Statistics) Stochastic Orders (Springer Statistics)
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Stochastic Orders (Springer Statistics)
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...
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Stochastic Ordinary And Stochastic Partial Differential Equations: Transition From Microscopic To Macroscopic Equations (Stochas,New Stochastic Ordinary And Stochastic Partial Differential Equations: Transition From Microscopic To Macroscopic Equations (Stochas,New
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Stochastic Ordinary And Stochastic Partial Differential Equations: Transition From Microscopic...
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...
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Stochastic Ordinary And Stochastic Partial Differential Equations: Transition From Microscopic To Macroscopic Equations (Stochas,Used Stochastic Ordinary And Stochastic Partial Differential Equations: Transition From Microscopic To Macroscopic Equations (Stochas,Used
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Stochastic Ordinary And Stochastic Partial Differential Equations: Transition From Microscopic...
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...
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Stochastic Petri Nets: Modelling, Stability, Simulation (Springer Series in Operations Research and Financial Engineering),Used Stochastic Petri Nets: Modelling, Stability, Simulation (Springer Series in Operations Research and Financial Engineering),Used
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Stochastic Petri Nets: Modelling, Stability, Simulation (Springer Series in Operations...
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,...
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Stochastic Portfolio Theory (Stochastic Modelling and Applied Probability, 48),New Stochastic Portfolio Theory (Stochastic Modelling and Applied Probability, 48),New
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Stochastic Portfolio Theory (Stochastic Modelling and Applied Probability, 48),New
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...
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Stochastic Processes And Orthogonal Polynomials (Lecture Notes In Statistics, 146) Stochastic Processes And Orthogonal Polynomials (Lecture Notes In Statistics, 146)
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Stochastic Processes And Orthogonal Polynomials (Lecture Notes In Statistics, 146)
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]...
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Stochastic Processes in Dynamics (Mechanics: Dynamical Systems, 6),Used Stochastic Processes in Dynamics (Mechanics: Dynamical Systems, 6),Used
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Stochastic Processes in Dynamics (Mechanics: Dynamical Systems, 6),Used
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Stochastic Processes,New Stochastic Processes,New
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Stochastic Processes,New
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...
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Stochastic Recursive Algorithms For Optimization: Simultaneous Perturbation Methods (Lecture Notes In Control And Information Sc,Used Stochastic Recursive Algorithms For Optimization: Simultaneous Perturbation Methods (Lecture Notes In Control And Information Sc,Used
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Stochastic Recursive Algorithms For Optimization: Simultaneous Perturbation Methods (Lecture Notes...
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...
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