Comparison of some methods:
1) Feasible Sequential Quadratic Programming (FSQP) methods [2]; --- maintain feasibility but centralized.
2) Parallel Variable Distribution (PVD) methods [3]-[5]; --- parallel but an amount of info exchange/knowledge & convergence only for convex or non convex but block separable constraints.
3) SCA algorithms [6]-[11].
--- [6][7][11]: centralized; [8]-[10]: distributed methods but convex and separable constraints.
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