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Robust Optimization in Electric Energy Systems

This book covers robust optimization theory and applications in the electricity sector. The advantage of robust optimization with respect;

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Robust Optimization

Robust Optimization is a method to improve robustness using low-cost variations of a single, conceptual design. The benefits of Robust;

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Robust Optimization

Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so;

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Robust Data Mining

can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing;

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Modeling and Optimization of Interdependent Energy Infrastructures

application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. Four appendices provide;

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Modeling and Optimization of Interdependent Energy Infrastructures

application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. Four appendices provide;

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Robust and Constrained Optimization

decision making under uncertainty. Thus, the opening chapter of Robust and Constrained Optimization: Methods and Applications introduces different;

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Active Robust Optimization

This book presents a novel framework, known as Active Robust Optimization, which provides the tools for evaluating, comparing and;

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Uncertainty Management for Robust Industrial Design in Aeronautics

This book covers cutting-edge findings related to uncertainty quantification and optimization under uncertainties (i.e. robust and reliable;

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Introduction to Linear Organization and Extensions With MATLAB

programming with recourse and robust optimization. The author introduces both stochastic programming and robust optimization as frameworks to deal;

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Distributionally Robust Learning

Robust Optimization (DRO) under the Wasserstein metric to ensure robustness to perturbationsin the data. The authors introduce the reader to the;

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Statistical Process Monitoring and Optimization

reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model;

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Optimization and Control Methods in Industrial Engineering and Construction

engineering and project management. Topics include numerical methods in unconstrained optimization, robust optimal control problems, set splitting;

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Variational Analysis and Set Optimization

to risk theory. As uncertain multi-objective optimization, especially robust approaches, lead to set optimization, one main focus of this;

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Variational Analysis and Set Optimization

-objective optimization, especially robust approaches, lead to set optimization, one main focus of this book is uncertain optimization. Important;

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Space Engineering

-Based Sensitivity Analysis and Robust Design *Low-Thrust Multi-Revolution Orbit Transfers *Modeling and Optimization of Balance Layout;

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Robust Control Systems with Genetic Algorithms

optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust;

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Robust Control Systems with Genetic Algorithms

optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust;

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Optimization Methods and Applications: In Honor of Ivan V. Sergienko's 80th Birthday

Researchers and practitioners in computer science, optimization, operations research and mathematics will find this book useful as it;

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Robust Portfolio Optimization and Management

Praise for Robust Portfolio Optimization and Management In the half century since Harry Markowitz introduced his elegant theory for;

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Loop-shaping Robust Control

Elements on the Optimization of Robust Stabilization with Order Constraint Appendix 2. Establishment of Real LMIs for the Quasi-Convex Problem;

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Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods;

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Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods;

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Introduction to Online Convex Optimization, second edition

presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization;

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Conical Approach to Linear Programming

algorithms are also provided for vector and robust linear optimization. The advantages of parameter dependence of conical methods are fully discussed;

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Convex Optimization In Signal Processing And Communications

image processing, robust broadband beamforming, distributed multi-agent optimization for networked systems, cognitive radio systems via game;

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Robust Control Design: An Optimal Control Approach

mathematical field that is concerned with control policies that can be deduced using optimization algorithms. The optimal control approach to robust;

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