I was reading the paper “Fitting a graph to vector data [pdf]” and I found this optimization problem: $$ \min_{w,s} ||Mw||^2 + \mu||\mathbf{1} - Aw - s|| $$ subject to $w,s\geq 0$, where $M$ is a $d\cdot n\times m$ matrix, $A$ a $n \times m$ one and $w$ and $s$ $m$-long vectors. The authors explain that they use MATLAB least square routine to solve it. Thus I asumed it could be rewritten as $\min ||Cx - d||^2$ by combining $w$ and $s$ into $x$ but I didn't manage to do it.
Am I on the right way or completly missing something?
Using the matrix C is almost correct. I think it should be this:
$$ \min || \sqrt{\mu} D - C (w,\sqrt{\mu}) || $$
with C as you gave it and D zero in the upper and left quadrants, and the identity in the bottom right:
$$ \left( \begin{array}{cc} 0 & 0 \ 0 & \mathbf{1} \ \end{array} \right) $$
Sorry for needing lots of edits to get this one right!
– Oct 30 '13 at 09:18