The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I [E-Book] : Overcoming the Curse of Dimensionality: Linear Systems / by Dan Gabriel Cacuci.
The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to imprecisions, the results predi...
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Full text |
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Personal Name(s): | Cacuci, Dan Gabriel, author |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
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Physical Description: |
XII, 362 pages (online resource) |
Note: |
englisch |
ISBN: |
9783030963644 |
DOI: |
10.1007/978-3-030-96364-4 |
Subject (LOC): |
- Chapter 1. Introduction and Motivation: Breaking the Curse of Dimensionality in Sensitivity and Uncertainty Analysis. Part A: Function-Valued Responses
- Chapter 2. Part A: Function-Valued Responses-The First- and Second-Order Comprehensive Adjoint Sensitivity Analysis Methodologies for Linear Systems with Function-Valued Responses
- Chapter 3. The Third-Order Comprehensive Adjoint Sensitivity Analysis Methodology (C-ASAM-3) for Linear Systems with Function-Valued Responses
- Chapter 4. The Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology (C-ASAM-4) for Linear Systems with Function-Valued Responses
- Chapter 5. The Nth-Order Adjoint Sensitivity Analysis Methodology (C-ASAM-N) for Linear Systems with Function-Valued Responses
- Chapter 6. Part B: Scalar-Valued Responses-The Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology (C-ASAM-4) for Linear Systems with Scalar-Valued Responses
- Chapter 7. The Nth-Order Adjoint Sensitivity Analysis Methodology (C-ASAM-N) for Linear Systems with Scalar-Valued Responses.