 IA-CCD: finding the mode
    Elapsed time 1.26 seconds
 IA-CCD: computing Hessian using multiplication
 IA-CCD: 9 points for 2 parameters
 IA-CCD: autoscaling in 4 directions
 IA-CCD: scaling minmax [0.89 1.10]
 IA-CCD: evaluating density at 9 points
 IA-CCD: Total elapsed time 2.73 seconds
 Iteration  Func-count   Grad-count         f(x)         Step-size
     0           1           1             102.113    
     1           2           2             91.7827       0.0878372
     2           4           4             89.5452        0.119397
     3           5           5             89.0605               1
     4           6           6             88.6554               1
     5           7           7              88.595               1
 Optimizer Results
  Algorithm Used: Broyden-Fletcher-Goldfarb-Shanno (BFGS)
  Exit message : Change in x was smaller than the specified tolerance TolX.
  Iterations : 6
  Function Count : 8
  Minimum found : 88.5859
  Intern Time : 0.005624 seconds
  Total Time : 1.0349 seconds
Latent function not monotonic, adding virtual observations.
Added 2 virtual observations.
 Iteration  Func-count   Grad-count         f(x)         Step-size
     0           1           1              86.248    
     1           3           3             85.0875        0.356608
     2           5           5             85.0312        0.170586
     3           7           7             84.9894         0.48102
 Optimizer Results
  Algorithm Used: Broyden-Fletcher-Goldfarb-Shanno (BFGS)
  Exit message : Change in x was smaller than the specified tolerance TolX.
  Iterations : 4
  Function Count : 8
  Minimum found : 84.9886
  Intern Time : 0.006604 seconds
  Total Time : 1.3787 seconds
 IA-CCD: finding the mode
 IA-CCD: computing Hessian using multiplication
 IA-CCD: 9 points for 2 parameters
 IA-CCD: autoscaling in 4 directions
 IA-CCD: scaling minmax [0.90 1.32]
 IA-CCD: evaluating density at 9 points
    Elapsed time 1.35 seconds
 IA-CCD: Total elapsed time 3.11 seconds
 IA-CCD: finding the mode
 IA-CCD: computing Hessian using multiplication
 IA-CCD: 9 points for 2 parameters
 IA-CCD: autoscaling in 4 directions
 IA-CCD: scaling minmax [1.02 1.44]
 IA-CCD: evaluating density at 9 points
 IA-CCD: Total elapsed time 2.41 seconds
 Iteration  Func-count   Grad-count         f(x)         Step-size
     0           1           1             85.7506    
     1           3           3             85.6078        0.146294
     2           4           4             85.5651               1
 Optimizer Results
  Algorithm Used: Broyden-Fletcher-Goldfarb-Shanno (BFGS)
  Exit message : Change in the objective function value was less than TolFun.
  Iterations : 3
  Function Count : 5
  Minimum found : 85.5549
  Intern Time : 0.003272 seconds
  Total Time : 0.63927 seconds
 IA-CCD: finding the mode
    Elapsed time 2.16 seconds
 IA-CCD: computing Hessian using multiplication
 IA-CCD: 9 points for 2 parameters
 IA-CCD: autoscaling in 4 directions
 IA-CCD: scaling minmax [1.00 1.35]
 IA-CCD: evaluating density at 9 points
 IA-CCD: Total elapsed time 4.17 seconds
Demo completed in 0.408 minutes
