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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.14308 |
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| _version_ | 1866912591968731136 |
|---|---|
| author | Young, Andrew J. |
| author_facet | Young, Andrew J. |
| contents | We identity the optimal non-infinitesimal direction of descent for a convex function. An algorithm is developed that can theoretically minimize a subset of (non-convex) functions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_14308 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Directional descent Young, Andrew J. Optimization and Control We identity the optimal non-infinitesimal direction of descent for a convex function. An algorithm is developed that can theoretically minimize a subset of (non-convex) functions. |
| title | Directional descent |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2408.14308 |