File:RandomSearchExample2.png
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Summary
| Description |
English: Scheme of random search using a non-linear regression problem as an example. The goal is to minimize the value of the penalty function. The right bottom shows a few example methods: 1. Non-structured random search, 2. structured random search, 3. Gauss-Newton algorithm, and 4. Levenberg-Marquardt algorithm. 1,2 do not need to know the gradient and 3,4 have to calculate the gradient. |
| Date | |
| Source | Own work |
| Author | Nkchenjx |
Licensing
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 20:52, 30 November 2021 | | 3,381 × 2,070 (715 KB) | Nkchenjx | Cross-wiki upload from en.wikipedia.org |
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