The Handbook of Nuclear Engineering is an authoritative compilation of information regarding methods and data used in all phases of nuclear engineering.  Meer

The Second-Order Adjoint Sensitivity Analysis Methodology generalizes the First-Order Theory presented in the author’s previous books published by CRC Press.  Meer

The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to imprecisions, the results predicted by these models are also imprecise, being affected by the uncertainties underlying the respective model.  Meer

The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to imprecisions, the results predicted by these models are also imprecise, being affected by the uncertainties underlying the respective model.  Meer

This text describes a comprehensive adjoint sensitivity analysis methodology (C-ASAM), developed by the author, enabling the efficient and exact computation of arbitrarily high-order functional derivatives of model responses to model parameters in large-scale systems.  Meer

This text describes a comprehensive adjoint sensitivity analysis methodology (C-ASAM), developed by the author, enabling the efficient and exact computation of arbitrarily high-order functional derivatives of model responses to model parameters in large-scale systems.  Meer

This book addresses the experimental calibration of best-estimate numerical simulation models. The results of measurements and computations are never exact.  Meer

This book follows the “adjoint method” of sensitivity analysis conceived by the author as the most efficient method for computing exactly first-order sensitivities.  Meer

This book follows the “adjoint method” of sensitivity analysis conceived by the author as the most efficient method for computing exactly first-order sensitivities.  Meer

Continuing the author’s previous work on modeling, this book presents the most recent advances in high-order predictive modeling.  Meer