Order Analysis, Deep Learning, and Connections to Optimization

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English | 2024 | ISBN: 3031674219 | 308 Pages | PDF EPUB (True) | 24 MB
The first main part focuses on the introduction of order analysis as an application-driven theory, which allows to treat order structures with an analytical approach. Applications of order analysis to nonlinear optimization, as well as vector and set optimization with fixed and variable order structures, are discussed in detail. This means there are close ties to finance, operations research, and multicriteria decision making.


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