View Single Post
  #3  
Old 10-13-2012, 07:17 PM
rpistu rpistu is offline
Member
 
Join Date: Oct 2012
Posts: 10
Default Re: About the Problem 3.17b

Yes, E1 is a function of ∆u, ∆v, but it is also a function of u, v. Then, what is the u, v in this function? Still use (0, 0) as part (a) said? Also, what is the ininital value of ∆u, ∆v? In the textbook, it sets w to w(0) at step 0.

Further, does the norm ||(∆u,∆v)||=0.5 means that for each iteration we should ensure that the values of ∆u,∆v meet this resuirements? Another point is that in textbook, we need specify the step size ɧ. However, we could not see any information about the step size.

I don't quite understand the description of the question (Problem 3.17b), so I have so many questions. Could you probably clarify it for me?

Quote:
Originally Posted by magdon View Post
\hat E_1 is a function of \Delta u,\Delta v. You want to choose math]\Delta u,\Delta v[/math] (the vector to move in) to minimize \hat E_1. The negative gradient direction is going to be the direction to move (this is shown in the chapter) and you have to rescale that so the step size is 0.5.
Reply With Quote