parabolic_minimizer_test

parabolic_minimizer_test
  parabolic_minimizer seeks a point x which minimizes
  a function f(x).

  Search begins with:
  a: f(0) = -0
  b: f(5) = -22.35
  c: f(10) = 14.331
it=1  dx=10  x=     4.393071959  f(x)=  -18.36219159531186
it=2  dx=5.60693  x=     6.021086214  f(x)=  -27.25859975151059
it=3  dx=5.60693  x=     6.169550648  f(x)=  -27.66850875323199
it=4  dx=1.77648  x=     7.002418071  f(x)=  -27.91238836170857
it=5  dx=0.981332  x=     6.644196034  f(x)=   -28.2749659619705
it=6  dx=0.832867  x=     6.639236328  f(x)=  -28.27472017052361
it=7  dx=0.363182  x=     6.650192284  f(x)=  -28.27507952402734
it=8  dx=0.010956  x=     6.650582487  f(x)=  -28.27507993909627
it=9  dx=0.0113462  x=     6.650577535  f(x)=  -28.27507993917287
it=10  dx=0.000390203  x=      6.65057725  f(x)=  -28.27507993917308
it=11  dx=5.23685e-06  x=     6.650577264  f(x)=  -28.27507993917309
it=12  dx=2.84806e-07  x=     6.650577327  f(x)=  -28.27507993917307
parabolic_minimizer: Success!

  parabolic_minimizer returns estimated minimizer x:

  x: f(   6.650577326975672) =   -28.27507993917307
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