Optimization under uncertainty with applications to aerospace engineering / Massimiliano Vasile, editor.

Format:

Book

Contributor:

Vasile, Massimiliano, editor.

Language:

English

Subjects (All):

Mathematical optimization.

Measurement uncertainty (Statistics).

Aerospace engineering--Mathematics.

Aerospace engineering.

Mathematics.

Genre:

Electronic books.

Physical Description:

1 online resource (vi, 573 pages) : illustrations (some color)

Contained In:

Springer Nature eBook

Place of Publication:

Cham, Switzerland : Springer, [2021]

System Details:

text file PDF

Summary:

In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.

Contents:

Introduction to Spectral Methods for Uncertainty Quantification

Introduction to Imprecise Probabilities

Uncertainty Quantification in Lasso-Type Regularization Problems

Reliability Theory

An Introduction to Imprecise Markov Chains

Fundamentals of Filtering

Introduction to Optimisation

An Introduction to Many-Objective Evolutionary Optimization

Multilevel Optimisation

Sequential Parameter Optimization for Mixed-Discrete Problems

Parameter Control in Evolutionary Optimisation

Response Surface Methodology

Risk Measures in the Context of Robust and Reliability Based Optimization

Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization

In-flight Icing: Modeling, Prediction, and Uncertainty

Uncertainty Treatment Applications: High-Enthalpy Flow Ground Testing

Introduction to Evidence-Based Robust Optimisation.

Notes:

Includes bibliographical references.

Online resource; title from PDF title page (SpringerLink, viewed April 2, 2021).

Other Format:

Printed edition:

ISBN:

9783030601669

3030601668

9783030601676

3030601676

9783030601683

3030601684

OCLC:

1244120010

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