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-rw-r--r--day1/session6.tex10
1 files changed, 5 insertions, 5 deletions
diff --git a/day1/session6.tex b/day1/session6.tex
index 4b69748..6b02b9a 100644
--- a/day1/session6.tex
+++ b/day1/session6.tex
@@ -285,7 +285,7 @@ In []: pend_sol = odeint(pend_int,
%% \end{frame}
\begin{frame}[fragile]
-\frametitle{Newton Raphson Method}
+\frametitle{Newton-Raphson Method}
\begin{enumerate}
\item Start with an initial guess of x for the root
\item $\Delta x = -f(x)/f^{'}(x)$
@@ -295,7 +295,7 @@ In []: pend_sol = odeint(pend_int,
\end{frame}
%% \begin{frame}[fragile]
-%% \frametitle{Newton Raphson \dots}
+%% \frametitle{Newton-Raphson \dots}
%% \begin{lstlisting}
%% In []: def our_df(x):
%% ....: return -sin(x)-2*x
@@ -310,10 +310,10 @@ In []: pend_sol = odeint(pend_int,
%% \end{frame}
\begin{frame}[fragile]
-\frametitle{Newton Raphson \ldots}
+\frametitle{Newton-Raphson \ldots}
\begin{itemize}
\item What if $f^{'}(x) = 0$?
-\item Can you write a better version of the Newton Raphson?
+\item Can you write a better version of the Newton-Raphson?
\item What if the differential is not easy to calculate?
\item Look at Secant Method
\end{itemize}
@@ -368,7 +368,7 @@ In []: from scipy.optimize import newton
\item Finding Roots
\begin{itemize}
\item Estimating Interval
- \item Newton Raphson
+ \item Newton-Raphson
\item Scipy methods
\end{itemize}
\end{itemize}