Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100102631> ?p ?o ?g. }
- W3100102631 endingPage "340" @default.
- W3100102631 startingPage "323" @default.
- W3100102631 abstract "Optimization is at the core of control theory and appears in several areas of this field, such as optimal control, distributed control, system identification, robust control, state estimation, model predictive control and dynamic programming. The recent advances in various topics of modern optimization have also been revamping the area of machine learning. Motivated by the crucial role of optimization theory in the design, analysis, control and operation of real-world systems, this tutorial paper offers a detailed overview of some major advances in this area, namely conic optimization and its emerging applications. First, we discuss the importance of conic optimization in different areas. Then, we explain seminal results on the design of hierarchies of convex relaxations for a wide range of nonconvex problems. Finally, we study different numerical algorithms for large-scale conic optimization problems." @default.
- W3100102631 created "2020-11-23" @default.
- W3100102631 creator A5011573814 @default.
- W3100102631 creator A5072786751 @default.
- W3100102631 creator A5079119611 @default.
- W3100102631 date "2019-01-01" @default.
- W3100102631 modified "2023-09-24" @default.
- W3100102631 title "Conic optimization for control, energy systems, and machine learning: Applications and algorithms" @default.
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