Feasibility convex optimization

  • Can a feasible set be convex or concave?

    Convex feasible sets arise in many types of problems, including linear programming problems, and they are of particular interest because, if the problem has a convex objective function that is to be maximized, it will generally be easier to solve in the presence of a convex feasible set and any local optimum will also .

  • What is the feasibility problem of optimization?

    Feasibility problem
    This can be regarded as the special case of mathematical optimization where the objective value is the same for every solution, and thus any solution is optimal.
    Many optimization algorithms need to start from a feasible point..

  • Convex feasible sets arise in many types of problems, including linear programming problems, and they are of particular interest because, if the problem has a convex objective function that is to be maximized, it will generally be easier to solve in the presence of a convex feasible set and any local optimum will also
The feasible set of the optimization problem consists of all points satisfying the constraints. This set is convex because is convex, the sublevel sets of convex functions are convex, affine sets are convex, and the intersection of convex sets is convex.

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