Chapman & Hall/CRC, Boca Raton, London, New York, 2005. – 359 pp. - ISBN 1-58488-116 Sensitivity and uncertainty analysis are becoming increasingly widespread in many fields of engineering and sciences, encompassing practically all of the experimental data processing activities as well as many computational modeling and process simulation activities. There are many methods, based either on deterministic or statistical concepts, for performing sensitivity and uncertainty analysis. Two of the modern deterministic methods, namely the Adjoint Sensitivity Analysis Procedure (ASAP) and the Global Adjoint Sensitivity Analysis Procedure (GASAP) were presented, in detail, in Volume I of this book. However, despite of this variety of methods, or perhaps because of it, a precise, unified terminology, across all methods, does not seem to exist yet, even though many of the same words are used by the practitioners of the various methods. For example, even the word sensitivity as used by analysts employing statistical methods may not necessarily mean or refer to the same quantity as would be described by the same word, sensitivity, when used by analysts employing deterministic methods. Care must be therefore exercised, since identical words may not necessarily describe identical quantities, particularly when comparing deterministic to statistical methods. Furthermore, conflicting and contradictory claims are often made about the relative strengths and weaknesses of the various methods.Contents. A comparative review of sensitivity and uncertainty analysis methods for large-scale systems. Applications of the adjoint sensitivity analysis procedure (asap) to two-phase flow systems. Forward and adjoint sensitivity analysis procedures for augmented systems. Forward and adjoint sensitivity analysis procedures for responses defined at critical points. Using the asap to gain new insights into paradigm atmospheric sciences problems. Adjoint sensitivity analysis procedure for operational meteorological applications. References.
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