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 ...

This paper provides a theoretical foundation for efficient interior-point algorithms for convex programming problems expressed in conic form, when the cone and its associated barrier are self-scaled.

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 ...

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 ...