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- W4288113009 abstract "This manuscript portrays optimization as a process. In many practical applications the environment is so complex that it is infeasible to lay out a comprehensive theoretical model and use classical algorithmic theory and mathematical optimization. It is necessary as well as beneficial to take a robust approach, by applying an optimization method that learns as one goes along, learning from experience as more aspects of the problem are observed. This view of optimization as a process has become prominent in varied fields and has led to some spectacular success in modeling and systems that are now part of our daily lives." @default.
- W4288113009 created "2022-07-28" @default.
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- W4288113009 date "2019-09-07" @default.
- W4288113009 modified "2023-10-16" @default.
- W4288113009 title "Introduction to Online Convex Optimization" @default.
- W4288113009 doi "https://doi.org/10.48550/arxiv.1909.05207" @default.
- W4288113009 hasPublicationYear "2019" @default.
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