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A framework for applying subgradient methods Renegar, James
Description
I discuss a framework that came to mind five years ago, in trying to solve an algorithmic problem in the context of hyperbolic programming. I never solved that problem, but the framework has proved to have interesting algorithmic consequences for convex optimization generally.
Item Metadata
| Title |
A framework for applying subgradient methods
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| Creator | |
| Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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| Date Issued |
2019-05-28T11:17
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| Description |
I discuss a framework that came to mind five years ago, in trying to solve an algorithmic problem in the context of hyperbolic programming. I never solved that problem, but the framework has proved to have interesting algorithmic consequences for convex optimization generally.
|
| Extent |
40.0 minutes
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| Subject | |
| Type | |
| File Format |
video/mp4
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| Language |
eng
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| Notes |
Author affiliation: Cornell University
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| Series | |
| Date Available |
2019-11-25
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| Provider |
Vancouver : University of British Columbia Library
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| Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
| DOI |
10.14288/1.0385855
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| URI | |
| Affiliation | |
| Peer Review Status |
Unreviewed
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| Scholarly Level |
Faculty
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| Rights URI | |
| Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International