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Stochastic Algorithms: Foundations and Applications

This book constitutes the refereed proceedings of the 5th International Symposium on Stochastic Algorithms, Foundations and Applications;

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A First Course in Stochastic Models

contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and;

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Stochastic Approximation and Recursive Algorithms and Applications

This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both;

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Stochastic Approximation and Recursive Algorithms and Applications

This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both;

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Restless Multi-Armed Bandit in Opportunistic Scheduling

tools necessarily in the design of computation-efficient algorithms and protocols in stochastic scheduling. The problems addressed in the book;

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Analytical and Stochastic Modelling Techniques and Applications

This book constitutes the refereed proceedings of the 23rd International Conference on Analytical and Stochastic Modelling Techniques and;

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Analytical and Stochastic Modelling Techniques and Applications

This book constitutes the refereed proceedings of the 22nd International Conference on Analytical and Stochastic Modelling Techniques and;

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Stochastic Algorithms: Foundations and Applications

This volume constitutes the proceedings of the 3rd Symposium on Stochastic Algorithms, Foundations and Applications (SAGA 2005), held;

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Analytical and Stochastic Modelling Techniques and Applications

This book constitutes the refereed proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and;

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Foundations of Computational Intelligence 03

, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures;

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Stochastic Analysis, Stochastic Systems, And Applications To Finance

with the analysis of stochastic dynamical systems, in terms of Gaussian processes, white noise theory, and diffusion processes. The second part;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics;

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Almost Periodic Stochastic Processes

This book lays the foundations for a theory on almost periodic stochastic processes and their applications to various stochastic;

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Stochastic Processes and Applications

This book highlights the latest advances in stochastic processes, probability theory, mathematical statistics, engineering mathematics and;

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Stochastic Optimization

Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic;

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Optimal Design of Control Systems: Stochastic and Deterministic Problems (Pure and Applied Mathematics

"Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical;

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Stochastic Approximation

This simple, compact toolkit for designing and analyzing stochastic approximation algorithms requires only basic literacy in probability;

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Stochastic Game Strategies and their Applications

Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making;

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Stochastic Game Strategies and their Applications

Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making;

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Applications of Stochastic Programming

Research on algorithms and applications of stochastic programming, the study of procedures for decision making under uncertainty over time;

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Bilevel Programming Problems: Theory, Algorithms and Applications to Energy Networks

This book describes recent theoretical findings relevant to bilevel programming in general, and in mixed-integer bilevel programming;

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Adaptive Stochastic Optimization Techniques with Applications

optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic;

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Stochastic Recursive Algorithms for Optimization

Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement;

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Backward Stochastic Differential Equations

This book provides a systematic and accessible approach to stochastic differential equations, backward stochastic differential equations;

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Modern Trends in Controlled Stochastic Processes:

This book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection of extended papers;

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Foundations and Methods of Stochastic Simulation

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the;

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