Frameworks for High Dimensional Convex Optimization
<p>We present novel, efficient algorithms for solving extremely large optimization problems. A significant bottleneck today is that as the size of datasets grow, researchers across disciplines desire to solve prohibitively massive optimization problems. In this thesis, we present methods to co...
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| Format: | Others |
| Language: | en |
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2021
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| Online Access: | https://thesis.library.caltech.edu/13856/1/london_palma_2020.pdf London, Palma Alise den Nijs (2021) Frameworks for High Dimensional Convex Optimization. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/db29-am33. https://resolver.caltech.edu/CaltechTHESIS:08162020-233437139 <https://resolver.caltech.edu/CaltechTHESIS:08162020-233437139> |
Internet
https://thesis.library.caltech.edu/13856/1/london_palma_2020.pdfLondon, Palma Alise den Nijs (2021) Frameworks for High Dimensional Convex Optimization. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/db29-am33. https://resolver.caltech.edu/CaltechTHESIS:08162020-233437139 <https://resolver.caltech.edu/CaltechTHESIS:08162020-233437139>