Timeline for An intuition for three different types of subgradients (proximal, regular, limiting)
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Jul 28, 2019 at 18:07 | comment | added | littleO | Fantastic explanation, thanks. | |
| Jan 13, 2019 at 11:57 | comment | added | xel | short answer to the question what is needed for practical implementation: The proximal operator of the nonsmooth part of the objective function. I also updated my answer to reflect this in more detail. | |
| Jan 13, 2019 at 11:55 | history | edited | xel | CC BY-SA 4.0 |
added 1706 characters in body
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| Jan 11, 2019 at 20:15 | comment | added | R Hahn | I appreciate this perspective and it seems plausible. But what do you do when you need to implement the optimization method? Is there an explicit gap at that point between practice and theory? Or is it that when you do things purely numerically, the distinction between the definitions disappears? | |
| S Jan 11, 2019 at 18:33 | history | suggested | CommunityBot | CC BY-SA 4.0 |
Corrected some minor English typos.
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| Jan 11, 2019 at 16:30 | review | Suggested edits | |||
| S Jan 11, 2019 at 18:33 | |||||
| Jan 11, 2019 at 16:10 | review | Late answers | |||
| Jan 11, 2019 at 16:21 | |||||
| Jan 11, 2019 at 15:55 | review | First posts | |||
| Jan 11, 2019 at 16:17 | |||||
| Jan 11, 2019 at 15:51 | history | answered | xel | CC BY-SA 4.0 |