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Open problems in optimization and data analysis
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. Curr...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2018
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-99142-9 http://cds.cern.ch/record/2650862 |