Timeline for Minimization problem involving the inverse of an affine matrix function
Current License: CC BY-SA 4.0
14 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 21, 2020 at 11:12 | comment | added | Rodrigo de Azevedo | @hichemhb Like I mentioned before, you can use CVXPY to solve the SDP. Take a look at this. | |
| Jan 21, 2020 at 9:43 | comment | added | hichem hb | @ Rodrigo de Azevedo i wanna to implement an algorithm to solve this problems can you give me some methods references or codes if its possible | |
| Nov 11, 2019 at 5:40 | comment | added | Rodrigo de Azevedo | @hichemhb Replace $\rm v$ with $\mathrm V \mathbb 1$, where the columns of $\rm V$ are the $\mathrm v_i$'s. I may be wrong. Please verify. | |
| Nov 11, 2019 at 0:16 | comment | added | hichem hb | is there other approach that i can use it ? @Rodrigo de Azevedo. | |
| Nov 10, 2019 at 6:26 | comment | added | Rodrigo de Azevedo | @hichemhb Similar, not same. | |
| Nov 9, 2019 at 17:07 | comment | added | hichem hb | so if the problem is to minimise sum(vi'(A+In+UXU⊤)^−1vi), can i use the same approach?? | |
| Sep 22, 2019 at 21:38 | comment | added | hichem hb | @ Rodrigo de Azevedo this is my proposition | |
| Sep 22, 2019 at 13:08 | vote | accept | hichem hb | ||
| Sep 21, 2019 at 23:37 | comment | added | Rodrigo de Azevedo | @hichemhb Why not post a question on that problem on Math SE? The more (trained) eyes looking at it, the better. | |
| Sep 21, 2019 at 23:29 | comment | added | hichem hb | it was about a problem in optimization that i find using KKT method | |
| Sep 21, 2019 at 23:20 | comment | added | hichem hb | @ Rodrigo de Azevedo can you please give me your email i wanna to contact you ? | |
| Sep 20, 2019 at 10:34 | comment | added | Rodrigo de Azevedo | @hichemhb you can use CVX or CVXPY to solve the SDP numerically. | |
| Sep 20, 2019 at 10:30 | comment | added | hichem hb | Rodrigo de Azevedo can you please give me some reference to find my matrix X | |
| Aug 23, 2019 at 9:28 | history | answered | Rodrigo de Azevedo | CC BY-SA 4.0 |