comparison of direct search and conjugate gradient method

direct search  (Nelder-Mead method): matlab function--fminsearch

conjugate gradient : matlab fun---fminunc

for the same questions to find the next solution:

function f=ff2(x)

f=4*x(1)^2+5*x(1)*x(2)+2*x(2)^2;

the initial value is [1,1];

result of conjugate:

Optimization terminated successfully: Search direction less than 2*options.TolX

x =

  1.0e-007 *

   -0.3723    0.4730

fval =

  1.2138e-015

exitflag =

     1

output =

       iterations: 3        funcCount: 16         stepsize: 1.9939    firstorderopt: 3.2647e-007        algorithm: 'medium-scale: Quasi-Newton line search'

result of direct :

x =

  1.0e-004 *

   -0.4945    0.5283

fval =

  2.3014e-009

exitflag =

     1

output =

    iterations: 47     funcCount: 90     algorithm: 'Nelder-Mead simplex direct search'