This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, i

This volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at

AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI provides readers with solutions and a foundational understanding of the methods that can be

This book examines ongoing research and practice in using visualization to represent optimization models, explore optimum solutions, and summarize the results o