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Optimization with convex constraints and convex objectives; notions related to convex optimization such as sub-gradients, normal cones, separating hyperplanes

2 votes

Feasibility of a given set of homogenuous nonconvex quadratic inequality constraints

As mentioned in its user's guide, CVX does not distinguish between constraints in the form of $f(x) < 0$ and $f(x) \leq 0 $, which is very common in numerical optimization. Instead, you should use $ …
Shuo Han's user avatar