Text edit.

pct/modules/04/linear-equations.ipynb

@@ -188,7 +188,7 @@
    "source": [
     "### LU Decomposition\n",
     "\n",
-    "LU decomposition is a way to turn a square matrix $A$ into a lower triangular matrix $L$ and an upper triangular matrix $U$, so that $A = PLU$, where `P` is a permutation matrix, and `L` and `U` are lower and upper triangular matrices.\n",
+    "LU decomposition (also called LU factorization) is a way to turn a square matrix $A$ into a lower triangular matrix $L$ and an upper triangular matrix $U$, so that $A = PLU$, where `P` is a permutation matrix, and `L` and `U` are lower and upper triangular matrices.\n",
     "\n",
     "SciPy allows one to decompose a matrix into LU with `scipy.linalg.lu` and reapply the decomposition to solve different right-hand side vectors.\n"
    ]