@article{857606,
      author = {Pardalos, Panos M. and Migdalas, Athanasios.},
      url = {http://library.usi.edu/record/857606},
      title = {Open Problems in Optimization and Data Analysis /},
      abstract = {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. },
      doi = {https://doi.org/10.1007/978-3-319-99142-9},
      recid = {857606},
      pages = {1 online resource (xix, 330 pages) :},
}