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Book
General sensitivity theory.
Authors: ---
ISBN: 0444001085 9780444001085 Year: 1972 Volume: 35

Models and sensitivity of control systems
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ISBN: 0444996206 Year: 1984 Publisher: Amsterdam ; New York : New York, N.Y. : Elsevier ; Distribution for the U.S.A. and Canada, Elsevier Science Pub. Co.,

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Sensitivity and uncertainty analysis.
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ISBN: 1584881151 158488116X 9781584881162 9780203483572 9781135442910 9781135442866 9781135442903 Year: 2003 Publisher: Boca Raton : Chapman & Hall / CRC,

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Book
Estimands, estimators and sensitivity analysis in clinical trials
Authors: --- --- ---
ISBN: 9781138592506 1138592501 1032242620 9781032242620 Year: 2020 Publisher: Boca Raton (Fla.) : CRC press,

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"The concepts of estimands, analyses (estimators) and sensitivity are interrelated. Therefore, great need exists for an integrated approach to these topics. This book acts a practical guide to developing and implementing statistical analysis plans by explaining fundamental concepts using accessible language; providing technical details; providing real world examples and providing SAS and R code to implement analyses"--

Numerical methods in sensitivity analysis and shape optimization
Authors: ---
ISBN: 0817643222 3764343222 Year: 2002 Publisher: Basel : Birkhäuser,

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Book
Theory of sensitivity in dynamic systems : an introduction
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ISBN: 3540547614 Year: 1994 Publisher: Berlin Springer

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Book
The Second-Order Adjoint Sensitivity Analysis Methodology
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ISBN: 1351646583 1315120275 1498726496 9781315120270 9781498726481 1498726488 9781138105294 9781498726498 9781351646581 Year: 2018 Publisher: Boca Raton, FL : Chapman and Hall/CRC,

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The Second-Order Adjoint Sensitivity Analysis Methodology generalizes the First-Order Theory presented in the author’s previous books published by CRC Press. This breakthrough has many applications in sensitivity and uncertainty analysis, optimization, data assimilation, model calibration, and reducing uncertainties in model predictions. The book has many illustrative examples that will help readers understand the complexity of the subject and will enable them to apply this methodology to problems in their own fields. Highlights: • Covers a wide range of needs, from graduate students to advanced researchers • Provides a text positioned to be the primary reference for high-order sensitivity and uncertainty analysis • Applies to all fields involving numerical modeling, optimization, quantification of sensitivities in direct and inverse problems in the presence of uncertainties. About the Author: Dan Gabriel Cacuci is a South Carolina SmartState Endowed Chair Professor and the Director of the Center for Nuclear Science and Energy, Department of Mechanical Engineering at the University of South Carolina. He has a Ph.D. in Applied Physics, Mechanical and Nuclear Engineering from Columbia University. He is also the recipient of many awards including four honorary doctorates, the Ernest Orlando Lawrence Memorial award from the U.S. Dept. of Energy and the Arthur Holly Compton, Eugene P. Wigner and the Glenn Seaborg Awards from the American Nuclear Society.

Parameter sensivity in nonlinear mechanics : theory and finite element computations
Authors: --- --- ---
ISBN: 0471968544 Year: 1997 Publisher: New York, NY : John Wiley,

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Book
The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I
Authors: ---
ISBN: 9783030963644 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
The art of differentiating computer programs : an introduction to algorithmic differentiation
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ISBN: 9781611972061 Year: 2012 Publisher: Philadelphia : Society for Industrial and Applied Mathematics,

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