[AMR] Many learnings from exercises

electives/amr/parts/00_basics/02_trigonometry.tex

@@ -6,3 +6,5 @@
 \shortdefinition[Vec Line Eq] $\vec{p} + \lambda \vec{d}$
 
 \shortdefinition[Determinant] $ad - bc$ for mat $[a, b; c, d]$
+
+\shortdefinition[Eigenvalues] Solve $\det(M - \lambda I) = 0$

electives/amr/parts/00_basics/03_error-propagation.tex

@@ -1,4 +1,4 @@
 \subsection{Error Propagation}
 \label{sec:error-propagation}
 For functions $\vec{f}(\vec{x}) = \mat{A}\vec{x}$, the \bi{linear error propagation}
-is given by $\Sigma^f = A \Sigma^x \A^\top$, with $\Sigma^x$ the uncertanty of $\vec{x}$ (covariance mat.)
+is given by $\Sigma^f = A \Sigma^x A^\top$, with $\Sigma^x$ the uncertanty of $\vec{x}$ (covariance mat.)