--- /dev/null
+
+Quasi-Newton Method with Limited-Memory BFGS
+Line Search: Cubic Interpolation satisfying Strong Wolfe Conditions
+ iter value gnorm snorm #fval #grad ls_#fval ls_#grad
+ 0 1.040000e+02 2.039608e+01
+ 1 0.000000e+00 0.000000e+00 1.019804e+01 3 2 2 0
+Optimization Terminated with Status: Converged
+The solution to minimization problem is: 0 0
+
+Quasi-Newton Method with Limited-Memory BFGS
+Line Search: Cubic Interpolation satisfying Strong Wolfe Conditions
+ iter value gnorm snorm #fval #grad ls_#fval ls_#grad
+ 0 2.000000e-02 2.828427e-01
+ 1 0.000000e+00 0.000000e+00 1.414214e-01 3 2 2 0
+Optimization Terminated with Status: Converged
+The solution to minimization problem is: 0 0
+
+Quasi-Newton Method with Limited-Memory BFGS
+Line Search: Cubic Interpolation satisfying Strong Wolfe Conditions
+ iter value gnorm snorm #fval #grad ls_#fval ls_#grad
+ 0 1.200200e+02 2.191073e+01
+ 1 0.000000e+00 0.000000e+00 1.095536e+01 3 2 2 0
+Optimization Terminated with Status: Converged
+The solution to minimization problem is: 0 0