Some progress on BACH, added pseudocode for better understanding

pseudocode/bach_find_best_appr.typ

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+#import "@preview/lovelace:0.3.0": *
+
+#pseudocode-list(booktabs: true, numbered-title: [Find best approximation])[
+  + *inputs*:
+    + $bold(y)$ input values for linear combinations
+    + $bold(cal(o))$ list of optimal points
+  + *output*: $(bold(h), z_"opt")$
+    //+ n number of summands in linear combination
+  + *calculate* all possible linear combinations $bold(z)$ with @eq:z_eq
+  + *calculate* matrix $bold(cal(A))$ with $a_"ij" = abs(z_i - cal(o)_j)$
+  + *return* weights $bold(h)$ for $z_"opt" = op("argmin")(bold(cal(A)))$ and $z_"opt"$
+]