Convex optimization change of variables

  • What are variables in optimization?

    An optimization variable is a symbolic object that enables you to create expressions for the objective function and the problem constraints in terms of the variable..

May 29, 2018After this transformation the objective function is convex and the constraint is convex, thus the optimization problem is convex. Is it correct?What is the correct change of variables to yield convexity in this Equivalence of optimization problems via change of variablesOptimization problem "change of variables" injectivity requirementConvex Optimization with linear shift of variablesMore results from math.stackexchange.com

What does F0(X) mean in convex optimization?

Convex Optimization Overview variations: maximize objective, multiple objectives,

x represents a design (of a circuit, device, structure,

) objective f0(x) is combination of cost, weight, power,

duality, optimality conditions, duality, optimality conditions, duality, optimality conditions,

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