Matlab The gradient method was used to find the minimum value of the function north f(x,y)=(x^2+y^2−12x−10y+71)^2 Iterat
Posted: Mon Jun 06, 2022 6:36 pm
Matlab
The gradient method was used to find the minimum value of the
function north
f(x,y)=(x^2+y^2−12x−10y+71)^2 Iterations start at the point
(x0,y0)=(2,2.6) and λ=0.002 is used. (The number λ is also known as
the size or step or learning rate.)
1)The first iteration n turns out to be (x1,y1)=(
, )
2)If the second iteration n is (x2,y2)=(
, )
3)After s of many iterations (and perhaps change the value of λ
to achieve convergence), it is obtained that the minimum is found
at the point (xopt,yopt)=(
, );
4)Being this minimum=
The gradient method was used to find the minimum value of the
function north
f(x,y)=(x^2+y^2−12x−10y+71)^2 Iterations start at the point
(x0,y0)=(2,2.6) and λ=0.002 is used. (The number λ is also known as
the size or step or learning rate.)
1)The first iteration n turns out to be (x1,y1)=(
, )
2)If the second iteration n is (x2,y2)=(
, )
3)After s of many iterations (and perhaps change the value of λ
to achieve convergence), it is obtained that the minimum is found
at the point (xopt,yopt)=(
, );
4)Being this minimum=