On random embeddings and their application to optimisation
<p>Random embeddings project high-dimensional spaces to low-dimensional ones; they are careful constructions which allow the approximate preservation of key properties, such as the pair-wise distances between points. Often in the field of optimisation, one needs to explore high-dimensional spa...
Hoofdauteur: | Shao, Z |
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Andere auteurs: | Cartis, C |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
2021
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Onderwerpen: |
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