typo in p1

doc/Projects/2021/Project1/html/._Project1-bs000.html

@@ -274,7 +274,7 @@ We will generate our own dataset for a function
 \( \mathrm{FrankeFunction}(x,y) \) with \( x,y \in [0,1] \). The function
 \( f(x,y) \) is the Franke function. You should explore also the addition
 of an added stochastic noise to this function using the normal
-distribution \( \cal{N}(0,1) \).
+distribution \( N(0,1) \).
 
 <p>
 <em>Write your own code</em> (using either a matrix inversion or a singular

doc/Projects/2021/Project1/html/Project1-bs.html

@@ -274,7 +274,7 @@ We will generate our own dataset for a function
 \( \mathrm{FrankeFunction}(x,y) \) with \( x,y \in [0,1] \). The function
 \( f(x,y) \) is the Franke function. You should explore also the addition
 of an added stochastic noise to this function using the normal
-distribution \( \cal{N}(0,1) \).
+distribution \( N(0,1) \).
 
 <p>
 <em>Write your own code</em> (using either a matrix inversion or a singular

doc/Projects/2021/Project1/html/Project1.html

@@ -230,7 +230,7 @@ We will generate our own dataset for a function
 \( \mathrm{FrankeFunction}(x,y) \) with \( x,y \in [0,1] \). The function
 \( f(x,y) \) is the Franke function. You should explore also the addition
 of an added stochastic noise to this function using the normal
-distribution \( \cal{N}(0,1) \).
+distribution \( N(0,1) \).
 
 <p>
 <em>Write your own code</em> (using either a matrix inversion or a singular

doc/Projects/2021/Project1/ipynb/Project1.ipynb

@@ -134,7 +134,7 @@
     "$\\mathrm{FrankeFunction}(x,y)$ with $x,y \\in [0,1]$. The function\n",
     "$f(x,y)$ is the Franke function. You should explore also the addition\n",
     "of an added stochastic noise to this function using the normal\n",
-    "distribution $\\cal{N}(0,1)$.\n",
+    "distribution $N(0,1)$.\n",
     "\n",
     "*Write your own code* (using either a matrix inversion or a singular\n",
     "value decomposition from e.g., **numpy** ) or use your code from\n",

doc/Projects/2021/Project1/pdf/Project1.p.tex

@@ -233,7 +233,7 @@ We will generate our own dataset for a function
 $\mathrm{FrankeFunction}(x,y)$ with $x,y \in [0,1]$. The function
 $f(x,y)$ is the Franke function. You should explore also the addition
 of an added stochastic noise to this function using the normal
-distribution $\cal{N}(0,1)$.
+distribution $N(0,1)$.
 
 \emph{Write your own code} (using either a matrix inversion or a singular
 value decomposition from e.g., \textbf{numpy} ) or use your code from

doc/Projects/2021/Project1/pdf/Project1.tex

@@ -203,7 +203,7 @@ We will generate our own dataset for a function
 $\mathrm{FrankeFunction}(x,y)$ with $x,y \in [0,1]$. The function
 $f(x,y)$ is the Franke function. You should explore also the addition
 of an added stochastic noise to this function using the normal
-distribution $\cal{N}(0,1)$.
+distribution $N(0,1)$.
 
 \emph{Write your own code} (using either a matrix inversion or a singular
 value decomposition from e.g., \textbf{numpy} ) or use your code from

doc/src/Projects/2021/Project1/Project1.do.txt

@@ -101,7 +101,7 @@ We will generate our own dataset for a function
 $\mathrm{FrankeFunction}(x,y)$ with $x,y \in [0,1]$. The function
 $f(x,y)$ is the Franke function. You should explore also the addition
 of an added stochastic noise to this function using the normal
-distribution $\cal{N}(0,1)$.
+distribution $N(0,1)$.
 
 *Write your own code* (using either a matrix inversion or a singular
 value decomposition from e.g., _numpy_ ) or use your code from