The Second-Order Adjoint Sensitivity Analysis Methodology

Nonfiction, Science & Nature, Mathematics, Arithmetic, Applied
Cover of the book The Second-Order Adjoint Sensitivity Analysis Methodology by Dan Gabriel Cacuci, CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Dan Gabriel Cacuci ISBN: 9781351646581
Publisher: CRC Press Publication: February 19, 2018
Imprint: Chapman and Hall/CRC Language: English
Author: Dan Gabriel Cacuci
ISBN: 9781351646581
Publisher: CRC Press
Publication: February 19, 2018
Imprint: Chapman and Hall/CRC
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from CRC Press

Cover of the book Surfactants in Cosmetics by Dan Gabriel Cacuci
Cover of the book Rockbursts in Coal Mines and Their Prevention by Dan Gabriel Cacuci
Cover of the book Stability Design of Steel Frames by Dan Gabriel Cacuci
Cover of the book Handbook of Microemulsion Science and Technology by Dan Gabriel Cacuci
Cover of the book IET Wiring Regulations: Electric Wiring for Domestic Installers, 16th ed by Dan Gabriel Cacuci
Cover of the book The Industrial Information Technology Handbook by Dan Gabriel Cacuci
Cover of the book Primary Child and Adolescent Mental Health by Dan Gabriel Cacuci
Cover of the book New Generation Whole-Life Costing by Dan Gabriel Cacuci
Cover of the book 3ds Max 8 Essentials by Dan Gabriel Cacuci
Cover of the book Karch's Pathology of Drug Abuse by Dan Gabriel Cacuci
Cover of the book Selective Inhibitors Of Viral Functions by Dan Gabriel Cacuci
Cover of the book The Dictionary of Electrical Installation Work by Dan Gabriel Cacuci
Cover of the book Big Data Management and Processing by Dan Gabriel Cacuci
Cover of the book Food Molecular Microbiology by Dan Gabriel Cacuci
Cover of the book Natural History of Varicella-Zoster Virus by Dan Gabriel Cacuci
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy