y^=h(x)=0,xdataset{(0,0),(1,2),(2,4)}={(x(0),y(1)),(x(0),y(2)),(x(3),y(3))} Manually, cal culate the folloving gradient paramelens for iterations n=2 and 3 . The first iteration is calculated for you: x=.201=0(initialized)P=x y^=h(x)=0,xdataset{(0,0),(1,2),(2,4)}={(x(0),y(1)),(x(0),y(2)),(x(3),y(3))} Manually, cal culate the folloving gradient paramelens for iterations n=2 and 3 . The first iteration is calculated for you: x=.201=0(initialized)P=x