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Objective function

With the definition in Equation (17), we can write the optimization function J as:
\begin{displaymath}
J\left(s\right)
:= \frac{1}{2}\sum_{z,\vec{m},\vec{h}} \left...
 ...- {\bf B}_z\left[\mathcal T_{z } \right] \right] \right\vert^2,\end{displaymath} (18)
where s is the slowness function, and $z,\vec{m},\vec{h}$ stand respectively for depth, and the midpoint and offset vectors. In compact matrix form, we can write the objective function as:  
 \begin{displaymath}
J\left(s\right):= \frac{1}{2} \left\vert{\bf I}\left(\AA \u - {\bf B}\mathcal T\right)\right\vert^2,\end{displaymath} (19)
which takes special forms depending on our choice of the operators $\AA$ and ${\bf B}$:
WEMVA by TIF WEMVA by DSO
$J\left(s\right)= \frac{1}{2} \left\vert{\bf I}\left(\u - \mathcal T\right)\right\vert^2$ $J\left(s\right)= \frac{1}{2} \left\vert{\bf I}\left({\bf D}\u \right)\right\vert^2$

next up previous print clean
Next: Gradient Up: Theory of wave-equation MVA Previous: Image transformation
Stanford Exploration Project
11/11/2002