Timeline for Finding gradient of an optimization
Current License: CC BY-SA 3.0
4 events
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| Aug 1, 2014 at 22:42 | comment | added | Royeh | @Dirk you're right. the relaxed variable $w$ would be better. I have modified my question, now. well because in each step $w$ would be changed to a new one then from the equation the heat $T(t_i, w)$ would change, too. Maybe if I say that $T(t_i, w)$ is updating in each step, rather would be better. | |
| Aug 1, 2014 at 22:34 | history | edited | Royeh | CC BY-SA 3.0 |
deleted 2 characters in body
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| Aug 1, 2014 at 20:51 | comment | added | Dirk | You optimize over a binary variable (which seems to be a binary matrix, right?)? And you want the gradient of the objective with respect to this binary variable $w$? Better relax to $w_{ij}\in[0,1]$ or so. Also: What do you mean by "but for $T(t_i,w)$ is changing in each time step"? | |
| Aug 1, 2014 at 16:38 | history | asked | Royeh | CC BY-SA 3.0 |