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Optimization of Logistics

optimization problems and techniques, such as system design, layout, stock management, quality management, lot-sizing or scheduling. It summarizes the;

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Stochastic Programming

, asset management with benchmarks, dynamic portfolio management, fixed income immunization and racetrack betting. The production and logistics;

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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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Integrated Production, Control Systems

, aggregate planning, material requirements planning, lot sizing and inventory control, and limited--resource scheduling. The chapters on scheduling;

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Stochastic Optimization with Simulation Based Optimization

in stochastic dynamic risk optimization problems, where several important modification of the classical Bellman equation for stochastic dynamic problems;

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Time Series Analysis

With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear;

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Controlled Markov Processes and Viscosity Solutions

solutions. The authors approach stochastic control problems by the method of dynamic programming. The text provides an introduction to dynamic;

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Advances in Linear Stochastic Programming

book addresses two important production planning challenges namely, stochastic capacity planning; and stochastic in-house production and;

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Discrete Time Stochastic Control and Dynamic Potential Games

-contained presentation of stochastic dynamic potential games.;

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Input-Output Economics

, dynamic models, stochastic analysis, and performance analysis. The research is driven by the task to analyze national economies. The final part;

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Dynamic and Stochastic Multi-Project Planning

This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the;

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Problems In Portfolio Theory And The Fundamentals Of Financial Decision Making

asset pricing, utility theory, stochastic dominance, risk aversion and static portfolio theory, risk measures, dynamic portfolio theory and;

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Stochastic Frontier Analysis

Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

of stochastic time-delay uncertain systems with Markovian switching and nonlinear disturbances Explores the H state estimator and H output;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Approximate Dynamic Programming for Dynamic Vehicle Routing

This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The;

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Descent Directions and Efficient Solutions in Discretely Distributed Stochastic Programs

expected costs arising from the deviation between the output of a stochastic linear system and a desired stochastic target vector are minimal;

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Stochastic Equations Theory and Applications in Acoustics Hydrodynamics Magne

This monograph set presents a consistent and self-contained framework of stochastic dynamic systems with maximal possible completeness;

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Stochastic Equations Theory and Applications in Acoustics Hydrodynamics Magne

In some cases, certain coherent structures can exist in stochastic dynamic systems almost in every particular realization of random;

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Control and System Theory of Discrete-Time Stochastic Systems

of observability and controllability of a stochastic control system are defined and characterized. Each output process considered is, with respect to;

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Decision Theory

utilities, directed networks, shortest paths, critical path analysis, scheduling and convexity Coverage of stochastic models: stochastic dynamic;

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Selected Aspects of Theoretical Physics and Organic Chemistry

of many objects; dynamic and stochastic systems; the generalised model of Matsubara; conductivity in polymers; research of non-equilibrium dynamic;

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Operational Research

-integer programming, data envelopment analysis, clustering techniques, hybrid heuristics, supply chain management and lot sizing, as well as job;

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Applied Stochastic Control of Jump Diffusions

new section on optimal stopping with delayed information. Basic knowledge of stochastic analysis, measure theory and partial differential;

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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems

nominal and uncertain stochastic systems, via the input-output approach. It presents solutions to the problems of state-feedback, filtering, and;

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