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Uncertainty-aware Integration of Control with Process Operations and Multi-parametric Programming Under Global Uncertainty

problems such as process scheduling and design under global uncertainty. It also proposes a systematic framework for the uncertainty-aware;

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Multiparametric Optimization and Control

Recent developments in multi-parametric optimization and control Multi-Parametric Optimization and Control provides comprehensive;

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Uncertainty Modelling and Quality Control for Spatial Data

in GIS, and investigates the uncertainty modelling and quality control in multi-dimensional data integration, multi-scale data representation;

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Uncertainty Modelling and Quality Control for Spatial Data

in GIS, and investigates the uncertainty modelling and quality control in multi-dimensional data integration, multi-scale data representation;

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Explicit Nonlinear Model Predictive Control

implementation and the possibility to design embedded control systems with low software and hardware complexity. This book considers the multi;

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Introduction to Applied Optimization

optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;

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Introduction to Applied Optimization

optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;

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Economic-Mathematical Methods and Models under Uncertainty

of multivariate prediction of economic process and their control at uncertainty conditions in a finite-dimensional vector space was suggested. A;

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Economic-Mathematical Methods and Models under Uncertainty

of multivariate prediction of economic process and their control at uncertainty conditions in a finite-dimensional vector space was suggested. A;

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Multi-Parametric Programming

theoretical developments and algorithms in multi-parametric programming with applications from the manufacturing sector and energy and environment;

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Robust Model Predictive Control

predictive control can be extended to handle uncertainty in the problem data while maintaining stability, feasibility and low- complexity. The;

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Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty

Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty discusses core concepts, advanced modeling and key operation;

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Uncertain Schema Matching

been proposed to deal with uncertainty in schema matching, namely ensembles, and top-K matchings, and analyze them in this context. We conclude;

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Approximate Dynamic Programming

problems that involve making decisions in the presence of uncertainty. With a focus on modeling and algorithms in conjunction with the language;

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Aerospace System Analysis and Optimization in Uncertainty

modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range;

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Aerospace System Analysis and Optimization in Uncertainty

modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range;

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Introduction to Stochastic Programming

developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now;

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Introduction to Stochastic Programming

developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now;

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Vehicle Routing and Resource Allocation under Uncertainty

In this book, we study optimization models for health care under uncertainty and resource constraints. In particular, we study two problems;

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Flexible and Generalized Uncertainty Optimization

of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization;

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Flexible and Generalized Uncertainty Optimization

of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization;

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Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Relations

uncertainty, chiefly intended for researchers and practitioners working in operations research, multi-attribute decision making, preference analysis;

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Programming Multi-Agent-Systems

2006, held in Hakodate, Japan, May 2006. Coverage includes uncertainty of agents; lightweight devices for business and e-commerce applications;

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Strategic Choice Under Uncertainty

Strategic Choice Under Uncertainty provides an inside perspective of how multinational corporations dealt with the pressure to withdraw;

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Strategic Choice Under Uncertainty

Strategic Choice Under Uncertainty provides an inside perspective of how multinational corporations dealt with the pressure to withdraw;

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Model Predictive Control

For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic;

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Operations Research

optimization techniques such as linear and non-linear programming, dynamic programming, goal programming, parametric programming, integer programming;

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