Introduction to Convex Optimization for Machine Learning
Convex Optimization Problems Definition An optimization problem is convex if its objective is a convex function, the inequality constraints fj are convex, and the equality constraints hj are affine minimize x f0(x) (Convex function) s.t. fi(x) ≤ 0 (Convex sets) hj(x) = 0 (Affine) Duchi (UC Berkeley) Convex Optimization for Machine Learning ...
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