Formulate a problem as alternating convex optimization and solvers follow naturally
caglar_ee · x · 2026-11-09
A concise methodology take: once you can cast a problem into an alternating convex optimization framework (joint convexity in all variables isn't required), you naturally know how to extend it in all sorts of ways and develop numerical solvers for it — "like getting your magic sword back that transforms you into He-Man."
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