Research Article

A Decomposition Algorithm for Convex Nondifferentiable Minimization with Errors

Table 1

Problem data.

Problem dim dim- dim-

F2d 2 1 1 (0 0) 0 (0.9, 1.9)
F3d- 3 3 0 3 (0 1 10) 0 (100, 34, −90)
F3d- 2 3 1 2 (0 0 10) 0 (100, 33, −90)
F3d- 1 3 2 1(0 −1.741657 10)1.741657 (100, 33, −100)
F3d- 0 3 3 0(1.5 −0.442695 9.962006)−0.25 (101, 33, −100)

The italic data in Table 1 is calculated by our algorithms.