Question: Using the Nelder - Mead algorithm solve the following optimization problem with starting points ( x , y ) = { ( - 2 ,

Using the Nelder-Mead algorithm solve the following optimization problem with starting points (x,y)=
{(-2,-2),(-2,-4),(-3,-4)}
minf(x,y)=(1-x)2+100(y-x2)2
Does the method converge? Is the solution provided by the method optimal or just a stationary point?
Compare your solution using the Matlab function "fminsearch".
Using the Nelder-Mead algorithm solve the following optimization problem with starting

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