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-rw-r--r--Tutorial01-Basics/Problems/Tut01.pdf (renamed from Tutorial01-Basics/Problems/Tut1.pdf)bin67566 -> 67735 bytes
-rw-r--r--Tutorial01-Basics/Problems/Tut01.tex23
-rw-r--r--Tutorial01-Basics/Scilab_code/Tutorial1_filehandling.sce (renamed from Tutorial01-Basics/Scilab_code/Tutotial1_filehandling.sce)4
3 files changed, 26 insertions, 1 deletions
diff --git a/Tutorial01-Basics/Problems/Tut1.pdf b/Tutorial01-Basics/Problems/Tut01.pdf
index 24abc4f..41890eb 100644
--- a/Tutorial01-Basics/Problems/Tut1.pdf
+++ b/Tutorial01-Basics/Problems/Tut01.pdf
Binary files differ
diff --git a/Tutorial01-Basics/Problems/Tut01.tex b/Tutorial01-Basics/Problems/Tut01.tex
new file mode 100644
index 0000000..e7318ee
--- /dev/null
+++ b/Tutorial01-Basics/Problems/Tut01.tex
@@ -0,0 +1,23 @@
+\documentclass[10pt,a4paper]{article}
+\usepackage[utf8]{inputenc}
+\usepackage{amsmath}
+\usepackage{amsfonts}
+\usepackage{amssymb}
+\begin{document}
+\title{Problems for Tutorial-01: Basics of Scilab}
+\date{}
+\maketitle
+\begin{enumerate}
+\item Write a Scilab script to compute the following:
+\begin{enumerate}
+\item $n_1 = \sqrt{(Ax - y)^T(Ax - y)}$
+\item $n_2 = $ Sum of elements of $(Ax-b)$ (Hint: Use sum command)
+\item $n_3 = $ Sum of square of the elements of $(Ax - b)$ (Hint: Use for loop)
+\end{enumerate}
+where $A = \begin{bmatrix}a & a^2 & a^3\\b & b^2 & b^3\\c & c^2 & c^3\end{bmatrix}$,
+$a = 1, b = 2, c = 3$, $x = \begin{bmatrix}1\\1\\1\end{bmatrix}$,
+$y = \begin{bmatrix}4\\12\\36\end{bmatrix}$.
+\item Write a Scilab script to save the solution of Problem $1$, i.e.,
+$\begin{bmatrix}n_1 & n_2 & n_3\end{bmatrix}$ as Problem2.csv file.
+\end{enumerate}
+\end{document} \ No newline at end of file
diff --git a/Tutorial01-Basics/Scilab_code/Tutotial1_filehandling.sce b/Tutorial01-Basics/Scilab_code/Tutorial1_filehandling.sce
index 2924f03..8942278 100644
--- a/Tutorial01-Basics/Scilab_code/Tutotial1_filehandling.sce
+++ b/Tutorial01-Basics/Scilab_code/Tutorial1_filehandling.sce
@@ -20,4 +20,6 @@ stdev_of_x= mystdev(x,mean_of_x);
//Data to be exported (It can be a scalar, vector or matrix)
data_to_write = [mean_of_x stdev_of_x];
//Export data to a csv file
-csvWrite(data_to_write,'../Data/Tut1_data3.csv')
+csvWrite(data_to_write,'../Data/Result.csv')
+
+