[AMR] Many learnings from exercises

electives/amr/parts/03_multi-sensor-estimation/01_least-squares.tex

@@ -8,3 +8,4 @@
     \item \bi{Likelihood} $\P(\vec{x} | \vec{z}) \propto \P(\vec{z} | \vec{x}) = \prod_{i = 1}^N \P(\vec{z}_i | \vec{x})$
     \item \bi{a Post} $\P(\vec{x} | \vec{z}) \propto \P(\vec{z} | \vec{x}) \P(\vec{x}) = \P(\vec{x}) \prod_{i = 1}^N \P(\vec{z}_i | \vec{x})$
 \end{itemize}
+{\scriptsize Gauss-Dist (non)-lineaer meas. processed in batches, MLE is weighted non-linear Least Squares}