Lines Matching refs:equation
9 \begin{equation}
12 \end{equation}
16 \begin{equation}
19 \end{equation}
82 \begin{equation}
84 \end{equation}
126 \begin{equation}
128 \end{equation}
161 \begin{equation}
163 \end{equation}
239 \begin{equation}
241 \end{equation}
264 \begin{equation}
270 \end{equation}
272 \begin{equation}
286 \end{equation}
289 \begin{equation}
291 \end{equation}
293 \begin{equation}
295 \end{equation}
342 Equation~\eqref{eq:schurtrick1} is closely related to {\em Domain Decomposition methods} for solving large linear systems that arise in structural engineering and partial differential equations. In the language of Domain Decomposition, each point in a bundle adjustment problem is a domain, and the cameras form the interface between these domains. The iterative solution of the Schur complement then falls within the sub-category of techniques known as Iterative Sub-structuring~\cite{saad2003iterative,mathew2008domain}.
502 \begin{equation}
504 \end{equation}
508 \begin{equation}
510 \end{equation}
607 \begin{equation}
609 \end{equation}
