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This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R.This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly...
This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python.This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly...
This book is issued from a 30 years’ experience on the presentation of variational methods to successive generations of students and researchers in Engineering. It gives a comprehensive, pedagogical and engineer-oriented presentation of the foundations of variational...
Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field...
This reference book gives the reader a complete but comprehensive presentation of the foundations of convex analysis and presents applications to significant situations in engineering. The presentation of the theory is self-contained and the proof of all the essential...
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