Jump to content

Talk:Derivation of the conjugate gradient method

Page contents not supported in other languages.
From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Leftynm (talk | contribs) at 16:52, 31 January 2011 (Created page with '==Conjugate Gradient method is not derived here== This is not a derivation at all. This just lists what to do to do this method. Where does the quadratic equation f...'). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

Conjugate Gradient method is not derived here

This is not a derivation at all. This just lists what to do to do this method. Where does the quadratic equation f(x)=(b-x)^T A (b-x) come from? You can't call this a derivation and start with a function. The derivation should lead to this equation, and also lead to the expressions for alpha and p. Also, why is it that you want to minimize this function? What does this function represent that the entire method is based on minimizing this function? After reading a derivation, it should be clear where all this comes from. This is like saying, 'this is what works, therefore it is derived.'