rm WeaveSupport

quarto/differentiable_vector_calculus/vector_fields.qmd

@@ -14,19 +14,6 @@ using ForwardDiff
 using LinearAlgebra
 ```
 
-```{julia}
-#| echo: false
-#| results: "hidden"
-using CalculusWithJulia.WeaveSupport
-
-const frontmatter = (
-        title = "Functions ``R^n \\rightarrow R^m``",
-        description = "Calculus with Julia: Functions ``R^n \\rightarrow R^m``",
-        tags = ["CalculusWithJulia", "differentiable_vector_calculus", "functions ``R^n \\rightarrow R^m``"],
-);
-
-nothing
-```
 
 For a scalar function $f: R^n \rightarrow R$, the gradient of $f$, $\nabla{f}$, is a function from $R^n \rightarrow R^n$. Specializing to $n=2$, a function that for each point, $(x,y)$, assigns a vector $\vec{v}$. This is an example of vector field. More generally, we  could have a [function](https://en.wikipedia.org/wiki/Multivariable_calculus) $f: R^n \rightarrow R^m$, of which we have discussed many already:
 
@@ -1123,5 +1110,3 @@ radioq(choices, answ)
 ```
 
 (The latter is of interest, as only when the expression is $0$ will the vector field be the gradient of a scalar function.)
-
-