BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY

THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY

THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY
Stock photo: cover may vary

THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY Other -

by Dan Gabriel Cacuci

Add to wish list
  • New
New

Description

Taylor & Francis Group . Other. New.
Ask the seller a question Add to wish list
A$376.77
A$5.76 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)

Details

  • Title THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY
  • Author Dan Gabriel Cacuci
  • Binding Other
  • Condition New
  • Pages 306
  • Volumes 1
  • Language ENG
  • Publisher Taylor & Francis Group
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 6375752752
  • ISBN 9781498726481 / 1498726488
  • Category Mathematics
  • Library of Congress subjects Large scale systems, Nonlinear systems
  • Library of Congress Catalogue Number 2017040197
  • Dewey Decimal Code 003.71
  • Quantity available 4

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY

From the publisher

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.

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.

tracking-