I have a function which needs to be minimize, I know the basic idea of derivation and minimization but this expression killed me!
$min \sum_{j=1}^n\sum_{i=1}^n(x_{ij}w_j-w_i)^2$ s.t. $\sum_{i=1}^n w_i=1$ where $w_i \ge 0, i=1,2,...,n$
I proceed like this
$\partial L/\partial w_i = \partial (\sum_{j=1}^n\sum_{i=1}^n(x_{ij}w_j-w_i)^2)/\partial w_i +\partial \lambda (\sum_{i=1}^n w_i- 1 )]/\partial w_i$
I know partial derivative of last part is
$\partial \lambda (\sum_{i=1}^n w_i- 1 )]/\partial w_i =n\lambda $
but derivative of first part is really hard for me and I could not move even a little Thank you in advance
Thank you Micheal, using your suggestion here is what I got. $\frac{\partial\sum_j\sum_i (x_{ij}w_j-w_i)^2}{\partial w_k} =\frac{ \partial(\sum_{i,j : i \neq k, j\neq k} (x_{ij}w_j-w_i)^2 + \sum_{j: j \neq k} (x_{kj}w_j-w_k)^2 + \sum_{i:i\neq k} (x_{ik}w_k-w_i)^2 + (x_{kk}w_k-w_k)^2)}{\partial w_k}$
$= 0 -2 \sum_{j:j\neq k}(x_{kj}w_j-w_k)+0-2(x_{kk}w_j-w_k)$
$= -2 \sum_{j}(x_{kj}w_j-w_k)$
and from other way I got this solution
$ \frac {\partial \sum_{j=1}^n\sum_{i=1}^n(x_{ij}w_j-w_i)^2}{\partial w_i} = \frac { \sum_{j=1}^n \partial\sum_{i=1}^n(x_{ij}w_j-w_i)^2}{\partial w_i}$
$= -2 \sum_{j=1}^n \sum_{i=1}^n(x_{ij}w_j-w_i)$
I got two different result, did i make any mistake? in previous result, where my $w_i$ gone or can i simply change subsrcipt k to i? or later one has issue?