Optimization Algorithms, Optimization Techniques, Machine Learning, Deep Learning, Convex Optimization.
and is supposed to be CONSTANT! The subscript “j” represents the jth model coefficient/weight/parameter. (B) Constrained Optimization: for example A typical constrained optimization problem with constraints [Image by author] says “minimize (x1–2)^2 + (x2–1)^2, subject to the constraints…” as given