Computational and theoretical open problems in optimization computational geometry data
science logistics statistics supply chain modeling and data analysis are examined in this
book. Each contribution provides the fundamentals needed to fully comprehend the impact of
individual problems. Current theoretical algorithmic and practical methods used to circumvent
each problem are provided to stimulate a new effort towards innovative and efficient solutions.
Aimed towards graduate students and researchers in mathematics optimization operations
research quantitative logistics data analysis and statistics this book provides a broad
comprehensive approach to understanding the significance of specific challenging or open
problems within each discipline. The contributions contained in this book are based on lectures
focused on ¿Challenges and Open Problems in Optimization and Data Science¿ presented at the
Deucalion Summer Institute for Advanced Studies in Optimization Mathematics and Data Science
in August 2016.
