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portada Design Sensitivity Analysis. Computational Issues of Sensitivity Equation Methods
Type
Physical Book
Publisher
Author
Collection
Frontiers in Applied Mathematics
Year
2002
Language
English
Pages
160
Format
Hardcover
Dimensions
22.9x15.2 cm
ISBN13
9780898715248

Design Sensitivity Analysis. Computational Issues of Sensitivity Equation Methods

Lisa G. Stanley;Dawn L. Stewart (Author) · SIAM - Society for Industrial and Applied Mathematics · Hardcover

Design Sensitivity Analysis. Computational Issues of Sensitivity Equation Methods - Lisa G. Stanley;Dawn L. Stewart

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Synopsis "Design Sensitivity Analysis. Computational Issues of Sensitivity Equation Methods"

Provides an understandable introduction to one approach to design sensitivity computation and illustrates some of the important mathematical and computational issues inherent in using the sensitivity equation method (SEM) for partial differential equations.

Recent and ongoing improvements in computer technology have increased the need for efficient and reliable design tools; computational methods have opened the door to making sensitivity analysis a tractable design tool for industries that design and manufacture high-performance products. These industries are increasingly interested in exploiting the advantages of computer-aided design, numerical analysis, and optimal design methods. This book provides an understandable introduction to one approach to design sensitivity computation and illustrates some of the important mathematical and computational issues inherent in using the sensitivity equation method (SEM) for partial differential equations.

The authors use basic models to illustrate the computational issues that one might encounter when applying the SEM in a laboratory or research setting, while providing an overview of applications and computational issues regarding sensitivity calculations performed by way of continuous sensitivity equation methods. Here they focus on the construction and analysis of algorithms for computing sensitivities. For readers already acquainted with the concept of a sensitivity equation, the authors include mathematical background for a deeper understanding of their approach. Finally, the book explores the use of SEMs for applications in the area of computational fluid dynamics, demonstrating that the early examples readers encounter in the book can be observed in the context of a more realistic physical setting. Several color figures are included.

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