Modelling and optimization for analysis of big data  

Main target of the course is on providing precise and powerful tools strongly required in the study of optimization models. Namely, a solid introduction to multidimensional calculus of variations and multidimensional control theory will be given, coupled with elementary modern linear geometry, basics of functional analysis, basics of discrete harmonic analysis and basics of discrete differential geometry needed in the modern Big Data Analysis. As an application, many optimization problems are illustrated by examples arising from Big Data science, like CCA, generalized CCA, Kernel and Nonlinear CCA. Outcome: Not Provided
Presential
English
Modelling and optimization for analysis of big data
English

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