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The Second-Order Adjoint Sensitivity Analysis Methodology

Research output: Book/Report › Book

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The Second-Order Adjoint Sensitivity Analysis Methodology. / Cacuci, Dan.
1st ed. Boca Raton: Chapman and Hall/CRC, 2018. 306 p. (Advances in Appled Mathematics).

Research output: Book/Report › Book

HarvardHarvard

Cacuci, D 2018, The Second-Order Adjoint Sensitivity Analysis Methodology. Advances in Appled Mathematics, 1st edn, Chapman and Hall/CRC, Boca Raton.

APA

Cacuci, D. (2018). The Second-Order Adjoint Sensitivity Analysis Methodology. (1st ed.) (Advances in Appled Mathematics). Chapman and Hall/CRC.

CBE

Cacuci D 2018. The Second-Order Adjoint Sensitivity Analysis Methodology. 1st ed. Boca Raton: Chapman and Hall/CRC. 306 p. (Advances in Appled Mathematics).

MLA

Cacuci, Dan The Second-Order Adjoint Sensitivity Analysis Methodology 1st udg. Advances in Appled Mathematics. Boca Raton: Chapman and Hall/CRC. 2018.

VancouverVancouver

Cacuci D. The Second-Order Adjoint Sensitivity Analysis Methodology. 1st ed. Boca Raton: Chapman and Hall/CRC, 2018. 306 p. (Advances in Appled Mathematics).

Author

Cacuci, Dan. / The Second-Order Adjoint Sensitivity Analysis Methodology. 1st ed. Boca Raton : Chapman and Hall/CRC, 2018. 306 p. (Advances in Appled Mathematics).

RIS

TY - BOOK

T1 - The Second-Order Adjoint Sensitivity Analysis Methodology

AU - Cacuci, Dan

PY - 2018/2/28

Y1 - 2018/2/28

N2 - 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.

AB - 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.

M3 - Book

SN - 978149872648

T3 - Advances in Appled Mathematics

BT - The Second-Order Adjoint Sensitivity Analysis Methodology

PB - Chapman and Hall/CRC

CY - Boca Raton

ER -