09-Aug-2024 19:50:36

opt_gradient_descent_test():
  MATLAB/Octave version 6.4.0
  opt_gradient_descent() estimates a local minimum
  of a function f(x) near a starting point x0,
  using a stepsize factor gamma.

  f(x) = "humps_fun(x)"
  f'(x) = "humps_deriv(x)"
  x0 = 0.400000
  gamma = 0.010000
  Reached limit on the number of steps.
  f (       7.371824451369459)=       -5.95615588233429,
  f'(       7.371824451369459)=    -0.01301689514853414

  f(x) = "humps_fun(x)"
  f'(x) = "humps_deriv(x)"
  x0 = 0.400000
  gamma = 0.000500
  Reached a very small stepsize
  f (      0.6370091804100224)=        11.2527541257078,
  f'(      0.6370091804100224)=   0.0001189866127333516

  f(x) = "x/10 + cos(x) + sin(1.0) + pi"
  f'(x) = "1/10 - sin(x)"
  x0 = 1.000000
  gamma = 0.010000
  Reached a very small stepsize
  f (       3.041415304292004)=        3.29221872458293,
  f'(       3.041415304292004)=  -9.878365893820074e-06

opt_gradient_descent_test():
  Normal end of execution.
09-Aug-2024 19:50:36