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A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.
Open Problems in Optimization and Data Analysis
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Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain modeling, and data analys
Bayesian Optimization and Data Science
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Big Data Optimization: Recent Developments and Challenges
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The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable
Combinatorial Data Analysis
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Combinatorial data analysis (CDA) refers to a wide class of methods for the study of relevant data sets in which the arrangement of a collection of objects is a