|
| | example2.A = np.array([ 1.0, 1.0 ]).reshape((2,1)) |
| |
| | example2.A_new = np.array([ 1.0, 5.0 ]).reshape((2,1)) |
| |
| | example2.analyser = SolutionAnalysis() |
| |
| | example2.example = SQProblem(2, 1) |
| |
| | example2.g = np.array([ 1.5, 1.0 ]) |
| |
| | example2.g_new = np.array([ 1.0, 1.5 ]) |
| |
| | example2.H = np.array([ 1.0, 0.0, 0.0, 0.5 ]).reshape((2,2)) |
| |
| | example2.H_new = np.array([ 1.0, 0.5, 0.5, 0.5 ]).reshape((2,2)) |
| |
| | example2.lb = np.array([ 0.5, -2.0 ]) |
| |
| | example2.lb_new = np.array([ 0.0, -1.0 ]) |
| |
| | example2.lbA = np.array([ -1.0 ]) |
| |
| | example2.lbA_new = np.array([ -2.0 ]) |
| |
| | example2.maxCmpl = np.zeros(1) |
| |
| | example2.maxFeas = np.zeros(1) |
| |
| | example2.maxStat = np.zeros(1) |
| |
| | example2.nWSR = np.array([10]) |
| |
| | example2.Primal_Dual_Var = np.zeros(5*5) |
| |
| | example2.ub = np.array([ 5.0, 2.0 ]) |
| |
| | example2.ub_new = np.array([ 5.0, -0.5 ]) |
| |
| | example2.ubA = np.array([ 2.0 ]) |
| |
| | example2.ubA_new = np.array([ 1.0 ]) |
| |
| | example2.Var = np.zeros(5*5) |
| |