diff options
| -rw-r--r-- | day1/session5.tex | 1 | ||||
| -rw-r--r-- | day1/session6.tex | 10 |
2 files changed, 5 insertions, 6 deletions
diff --git a/day1/session5.tex b/day1/session5.tex index a8f56b2..70c02f8 100644 --- a/day1/session5.tex +++ b/day1/session5.tex @@ -129,7 +129,6 @@ \begin{frame}[fragile] \frametitle{Interpolation} \begin{itemize} -\item Let us begin with interpolation \item Let's use the L and T arrays and interpolate this data to obtain data at new points \end{itemize} \begin{lstlisting} 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} |