Design Sensitivity Analysis

Description

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 (CSEM). 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 colour figures are included.








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1. Ebooks list page : 1984
2. Sensitivity Analysis for Neural Networks
3. Sensitivity Analysis in Linear Regression
4. Global Sensitivity Analysis: The Primer
5. Structural Sensitivity Analysis and Optimization 1
6. Sensitivity Analysis in Linear Regression
7. Sensitivity & Uncertainty Analysis, Volume 1: Theory
8. Sensitivity Analysis in Practice : A Guide to Assessing (Repost)
9. Sensitivity.Analysis.in.Practice.A.Guide.to.Assessing.Scientific.Models
10. Sensitivity Analysis in Practice A Guide to Assessing Scientific Models
11. Stability and Optimization of Structures: Generalized Sensitivity Analysis (Mechanical Engineering)
12. Sensitivity and Uncertainty Analysis, Volume II: Applications to Large-Scale Systems
13. [share_ebook] Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
14. Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (Monographs on Statistics and
15. Sensitivity Analysis in Practice : A Guide to Assessing Scientific Models
16. N. Edward Walker: The Design Analysis Handbook: A Practical Guide to Design Validation