Please help! This question deals with Newton's method to find the shortest possible distance
Here is the question
What I don't get the most is part A, how do I write the formula ?? The rest seems easy enough, but I can't proceed without doing A
Do I use the distance formula \[D=\sqrt{(x _{2}-x _{1})^{2}+(y _{2}-y _{1})^{2}}\]
For part a yes I think that you just need to replace x2 with the x coordinate of the rower and x1 with the x coordinate of the point on shore then do the same with the two y coordinates y2 is the rower's y and y1 is the y coordinate on shore which happens to be x^2
For part A I've got \[D=\sqrt{(x-0.2)^2+(y-2.7)^2}\] since y = x^2 \[D=\sqrt{(x-0.2)^2+(x^2-2.7)^2}\]
then for part B i've got \[f(x)=((x-0.2)^2+(x^2-2.7)^2)^{1/2}\] \[f'(x)=1/2((x-0.2)^2+(x^2-2.7)^2)^{-1/2}\times (2(x-0.2)\times (1)+ 2(x^2-2.7) \times(2x))\] \[f'(x)=1/2((x-0.2)^2+(x^2-2.7)^2)^{-1/2}\times (2(x-0.2)+ 4x(x^2-2.7))\] \[f'(x)=1/2((x-0.2)^2+(x^2-2.7)^2)^{-1/2}\times (2x-0.4+ 4x^3-10.8x)\] \[f'(x)=1/2((x-0.2)^2+(x^2-2.7)^2)^{-1/2}\times (4x^3-8.8x-0.4)\] \[f'(x)=\frac{ 4x^3-8.8x-0.4 }{ 2((x-0.2)^2+(x^2-2.7)^2)^{1/2} }\] \[f'(x)=\frac{ 4x^3-8.8x-0.4 }{ 2\sqrt{(x-0.2)^2+(x^2-2.7)^2} }\]
aaaaannnnnnnnnnnnnd im stuck :/
college math?
senior high school ... :/
@chingmachine Here it goes my proposal. I have reviewed calculations now. Any inconsistency found or doubt you have, ask
THANK YOU
for part see what does the 0 -> mean??
and we weren't taught the Newton's method in advance they simply just gave us this task so i'll attempt to understand it through practise :)) THANK YOU SO MUCH EVERYONE
I order to find minimum distance you have to make the derivative of L(x) equal to zero
Newton´s method is a very simple method to find zeros of any function that always work,except when there are no solutions or solution is a maximum or a minimum of the function
for part (d), what does each table indicate?
It is the application of Newton's method. Each "k" is an iteration that helps you find Xk+1 from the value of Xk, applying the formula I have given
You apply the iteration until you find the function approaches zero with the desired level of accuracy
ohhh I understand that now, thank you once again
and the highlighted one is the answer because the smallest y-value(s) corresponds to the global minimum.. is this correct?
That´s correct for the last table. And for the iterations (three tables) the green shaded cells indicate where the iteration can stop
Becuase you do not see changes in Xk in first and second decimal places and the function approaches zero
this question sure is long
It is but is a very nice problem indeed
everything makes sense now
good to hear that
you're a lifesaver! we weren't given solutions for this so my friends and I have been worrying over this question all day
enjoy it then!
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