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Nov 15, 2020 at 8:55 comment added Mark L. Stone The default for CVX is SeDuMi or SDPT3, neither of which are as good as Mosek or Gurobi, which both can be used under CVX. You re probably best off not squaring any of the norms, so as not to square condition numbers.
Nov 15, 2020 at 2:46 comment added Manuel Madeira I've tried using CVX and I believe it uses one of those. However, it becomes too slow for higher K. That's why I was wondering about a first-order method @MarkL.Stone
Nov 14, 2020 at 18:58 comment added Mark L. Stone Have you tried a second order (i.e., the "usual" kind) SOCP solver, such as Mosek, Gurobi, CPLEX, or XPRESS? Is it too big to fit in memory?
Nov 13, 2020 at 23:46 comment added Manuel Madeira @cheyp: K can be arbitrarily large, in fact. But let's assume that it can be as high as 128, for example
Nov 13, 2020 at 23:46 comment added Manuel Madeira @RodrigodeAzevedo I haven't, but I'm more interested on the type of approach suggested by the next answer. Thank you for your idea anyway
Nov 13, 2020 at 19:45 comment added cheyp I doubt there can be a closed-form solution for $K \geq 3$. I would rewrite the problem in a saddle point form and then apply some first order method. But you need to give more details: what is the dimension of $\theta_k$, how big is $K$?
Nov 13, 2020 at 18:04 comment added Rodrigo de Azevedo Have you tried to rewrite in terms of the incidence matrix of the underlying graph?
Nov 13, 2020 at 18:02 history edited Rodrigo de Azevedo CC BY-SA 4.0
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S Nov 13, 2020 at 14:18 history suggested gmvh
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Nov 13, 2020 at 13:53 review Suggested edits
S Nov 13, 2020 at 14:18
Nov 13, 2020 at 13:37 comment added Manuel Madeira Thank you for your question. I've clarified it now. It's the Euclidean norm
Nov 13, 2020 at 13:36 history edited Manuel Madeira CC BY-SA 4.0
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Nov 13, 2020 at 3:36 review First posts
Nov 13, 2020 at 6:55
Nov 13, 2020 at 3:27 history asked Manuel Madeira CC BY-SA 4.0