The φ-divergence proximal method is an extension of the proximal minimization algorithm, where the usual quadratic proximal term is substituted by a class of convex statistical distances, called ...

x2=6 Shade the region above this line, since the second inequality isn't satisfied there. Lastly, plot the line 3x1+2x2 = 18 Shade the region where inequality 3 is not satisfied. You should now have a ...

The minimization of a convex function of variables subject to linear inequalities is discussed briefly in general terms. Dantzig's Simplex Method is extended to yield finite algorithms for minimizing ...

Theorem 2: Let R be the feasible region for a linear programming problem, and let Z = ax + by be the objective function. If R is bounded **, then the objective function Z has both a maximum and a ...