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

Continuing the author's previous work on modeling, this book presents the most recent advances in high-order predictive modeling. The author begins with the mat

This text describes a comprehensive adjoint sensitivity analysis methodology (C-ASAM), developed by the author, enabling the efficient and exact computation of

This book is about predictive modeling. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this as a survey of pred

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundatio