Uncertainty Quantification and Predictive Computational Science: A Foundation for Physical Scientists and Engineers

This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences.

Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals t...