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Optimization Under Uncertainty with Applications to Aerospace Engineering

In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex;

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Aerospace System Analysis and Optimization in Uncertainty

optimization techniques. Part III is dedicated to the uncertainty-based MDO and related issues. Part IV deals with three MDO related issues: the;

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Aerospace System Analysis and Optimization in Uncertainty

, and optimization techniques. Part III is dedicated to the uncertainty-based MDO and related issues. Part IV deals with three MDO related;

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Modern Trends in Structural and Solid Mechanics 3 - Non-deterministic Mechanics

and Solid Mechanics 3 has broad scope, covering topics such: design optimization under uncertainty, interval field approaches, convex analysis;

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Uncertainty in Engineering

This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian;

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Algorithms for Optimization

surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation;

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Large-Scale Optimization with Applications: Part II

With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid;

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Robust Optimization in Electric Energy Systems

to other methodologies for decision making under uncertainty are first discussed. Then, the robust optimization theory is covered in a;

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Topology Optimization in Engineering Structure Design

in engineering structures design, with a particular focus on aircraft and aerospace structural systems. To meet the increasingly complex engineering;

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Computational Approaches for Aerospace Design

methods such as evolutionary and response surface based optimization, adjoint and numerically differentiated sensitivity codes, uncertainty;

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Mathematical Optimization and Modeling

mathematical optimization have been included in this text which will provide useful insights to the readers. Mathematical theory of uncertainty;

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Optimization for Chemical and Biochemical Engineering

. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer;

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Decision Making Under Uncertainty

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from;

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Reliability-based Structural Design

method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions;

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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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Robust Optimization

comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected;

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Engineering Design Optimization

, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also;

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Aerospace Engineering

Aerospace engineering is the discipline of engineering that deals with the development of aircraft and spacecraft. Aeronautical engineering;

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Introduction to Optimum Design

Introduction to Optimum Design, Fourth Edition, carries on the tradition of the most widely used textbook in engineering optimization;

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Modern Aerospace Engineering

& evaluation software has resulted in the advancement of this field. This book attempts to understand the multiple branches that fall under the;

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Optimization And Anti-optimization Of Structures Under Uncertainty

is first demonstrated, then the anti-optimization techniques are applied to static, dynamic and buckling problems, thus covering the broadest;

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Probabilistic Design for Optimization and Robustness for Engineers

Probabilistic Design for Optimization and Robustness: * Presents the theory of modeling with variation using physical models and methods;

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Reliability Management and Engineering

methodologies of coping with uncertainty in reliability optimization through the usage of various techniques such as soft computing, fuzzy optimization;

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Reliability Management and Engineering

of coping with uncertainty in reliability optimization through the usage of various techniques such as soft computing, fuzzy optimization;

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Design Optimization of Fluid Machinery

machines and their components. Readers are then introduced to single and multi-objective optimization methods, automated optimization, surrogate;

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Real Time Optimization by Extremum-seeking Control

potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control: Develops optimization theory from;

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Stochastic Optimization Methods: Applications in Engineering and Operations Research

solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic substitute;

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