Sensitivity and Uncertainty Analysis, Volume II: Applications to Large-Scale Systems

There are many methods for performing sensitivity and uncertainty analysis. Two of the modern--and most useful--deterministic methods, the Adjoint Sensitivity Analysis Procedure (ASAP) and the Global Adjoint Sensitivity Analysis (GASAP), received detailed theoretical treatment in Volume I of this book. This volume extends the underlying theory of these methods into practice with a focus on their application to large-scale systems.Sensitivity and Uncertainty Analysis Volume II: Applications to Large-Scale Systems begins with a review of the most prominent screening design, statistical, and deterministic methods. The authors then explore applications of the ASAP to transient one-dimensional two-phase flow problems, in particular its implementation into a large-scale code that simulates the thermal-hydraulic characteristics of light water nuclear reactors. They go on to build the theoretical foundation for the modular implementation of the ASAP for complex simulations systems and present the general sensitivity theory for the response functional of a physical system defined at critical points. The remaining chapters are devoted to applications of the ASAP to sensitivity analyses of large-scale models used for numerical weather prediction and climatic research and simulation.The examples presented clearly demonstrate the advantages of using the ASAP for large-scale systems characterized by many variables and parameters, particularly its exceptional computational efficiency. Rigorous but accessible, this book will build a thorough familiarity with ASAP and its advantages and make ASAP a valuable addition to your analytical toolbox.

Dan Gabriel Cacuci is Ordinarius Chair Professor and Director of the Institute for Nuclear Technology and Reactor Safety, University of Karlsruhe, Germany, and Adjunct Professor in the Department of Nuclear Engineering, University of California at Berkeley, USA Mihaela Ionescu-Bujor is a Task Force Leader in the Fusion Program of the Research Center Karlsruhe, Germany Ionel Michael Navon is a professor in the School of Computational Science and Department of Mathematics, Florida State University, Tallahassee, USA