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Optimal Stochastic Scheduling

to provide a useful reference for researchers and practitioners in this area. Optimal Stochastic Scheduling is organized into two parts;

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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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Optimization Models and Concepts in Production Management

hierarchical production planning and large scale scheduling, optimal production control, exact and heuristic algorithms for production scheduling and;

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Principles of Sequencing and Scheduling

field. The text offers balanced coverage of deterministic models and stochastic models and includes new developments in safe scheduling and;

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Optimal Networked Control Systems with MATLAB

begins by providing background on NCS, networked imperfections, dynamical systems, stability theory, and stochastic optimal adaptive controllers;

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Optimal Networked Control Systems With MATLAB

by providing background on NCS, networked imperfections, dynamical systems, stability theory, and stochastic optimal adaptive controllers;

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Stochastic Scheduling

Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a;

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Stochastic Scheduling

Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a;

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Methods of Optimal Statistical Decisions, Optimal Control, and Stochastic Differential Equations

Methods of Optimal Statistical Decisions, Optimal Control, and Stochastic Differential Equations is een boek van Ellida M Khazen;

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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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Sequencing & Scheduling with Inaccurate Data

major approaches for dealing with such problems: a stochastic approach, a fuzzy approach, a robust approach and a stability approach. Each;

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Principles of Sequencing and Scheduling

with earliness and tardiness penalties. The most current material on stochastic scheduling, including correct scheduling of safety time and the;

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Optimal Control of Stochastic Difference Volterra Equations

their past history; it is an introduction to the mathematical theory of optimal control for stochastic difference Volterra equations of neutral;

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Markov Models & Optimization

, stochastic scheduling, inventory control, resource allocation problems, optimal planning of production or exploitation of renewable or non-renewable;

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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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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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Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming

This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on;

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Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling

Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling helps readers develop their skills in modeling;

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Modeling and Analysis for Optimal Scheduling of Biodiesel Batch-Plants

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Sequential Stochastic Optimization

presents a unified theory of optimal stopping and optimal sequential control of stochastic processes. This book has been carefully organized so;

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Scheduling and Congestion Control for Wireless and Processing Networks

unavoidable, we establish a general analytical model and extend the above algorithms to that case. Stochastic Processing Networks (SPNs) model;

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Stochastic Optimal Control of Structures

stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically;

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Stochastic Optimal Control of Structures

stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically;

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Applications of Stochastic Optimal Control to Economics and Finance

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Portfolio Optimization with Different Information Flow

stochastic calculus and convex analysis, optimal stochastic control and backward stochastic differential equations. This theoretical and numerical;

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Stochastic Control & Mathematical Modeli

include the basics of analysis and probability, the theory of stochastic differential equations, variational problems, problems in optimal;

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Scheduling Theory and Its Applications

Covering deterministic scheduling, stochastic scheduling, and the probabilistic analysis of algorithms, this unusually broad view of the;

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