a bit more edits to unit 10

berkeley-stat243 · Nov 2, 2023 · e71d847 · e71d847
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diff --git a/_freeze/units/unit10-linalg/execute-results/html.json b/_freeze/units/unit10-linalg/execute-results/html.json
diff --git a/_freeze/units/unit10-linalg/execute-results/tex.json b/_freeze/units/unit10-linalg/execute-results/tex.json
diff --git a/units/unit10-linalg.qmd b/units/unit10-linalg.qmd
@@ -1009,14 +1009,14 @@ diagonals to be positive). One algorithm for computing $U$ is:
 
 We can then solve a system of equations as: $U^{-1}(U^{\top-1}b)$.
 
-Confusingly, while numpy's `cholesky` gives $L = U^\top$, scipy 
-can return either $L$ or $U$ but defaults to $U$.
+Confusingly, while numpy's `cholesky` gives $L = U^\top$, scipy's
+`choleskey` can return either $L$ or $U$ but defaults to $U$.
 
 Here are two ways we can use the Cholesky to solve a system of equations:
 
 ```{python, eval=FALSE}
 U = sp.linalg.cholesky(A)
-sp.linalg.solve_triangular(L.T, 
+sp.linalg.solve_triangular(U, 
           sp.linalg.solve_triangular(U, b, lower=False, trans='T'),
           lower=False)