Computational methods for data evaluation and assimilation (Q2842540)

Real experiments provide data measured with some uncertainty. Processing such data means taking into account weighted averages over the possible values. Consequently, data evaluation and combination need the use of probabilistic tools for computational purposes. This book, addressed to graduate students, post-graduate students, and inter-disciplinary scientist, focuses on computational techniques used to experimental data evaluation and assimilation. The theory is illustrated with examples belonging to many scientific and engineering domains. The book attempts to be self-contained, the mathematical concepts used throughout the book being summarized at its end.