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- 304 pages
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About This Book
As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispensable investigative scientific tools in their own right. While most techniques used for these analyses are well documented, there has yet to appear a systematic treatment of the method based on adjoint operators, which is applicable to a much wider variety of problems than methods traditionally used in control theory. This book fills that gap, focusing on the mathematical underpinnings of the Adjoint Sensitivity Analysis Procedure (ASAP) and the use of deterministically obtained sensitivities for subsequent uncertainty analysis.
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Yes, you can access Sensitivity & Uncertainty Analysis, Volume 1 by Dan G. Cacuci in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Cover
- Title Page
- Copyright Page
- Introduction
- Table of Contents
- I. Concepts of Matrix and Operator Theory for Sensitivity and Uncertainty Analysis
- II. Concepts of Probability Theory for Sensitivity and Uncertainty Analysis
- III. Measurement Errors and Uncertainties: Basic Concepts
- IV. Local Sensitivity and Uncertainty Analysis of Linear Systems
- V. Local Sensitivity and Uncertainty Analysis of Nonlinear Systems
- VI. Global Optimization and Sensitivity Analysis
- References
- Index