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diff --git a/book/module2/intro_to_numerical_methods.tex b/book/module2/intro_to_numerical_methods.tex deleted file mode 100644 index 737d69d..0000000 --- a/book/module2/intro_to_numerical_methods.tex +++ /dev/null @@ -1,41 +0,0 @@ -\section{Numerical Methods}\label{numerical-methods} - -Engineering - -\subsection{What is a numerical -method?}\label{what-is-a-numerical-method} - -Numerical methods are techniques that transform mathematical problems -into forms that can be solved using arithmetic and logical operations. -Because digital computers excel at these computations, numerical methods -are often referred to as computer mathematics. - -\subsection{Numerical Differentiation}\label{numerical-differentiation} - -Forwards difference Backwards difference - -\href{https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter20.00-Numerical-Differentiation.html}{Read -More} - -\subsection{Roots and Optimization}\label{roots-and-optimization} - -Incremental Search Bisection Modified Secant Newton-Raphson - -\subsection{Numerical Integration}\label{numerical-integration} - -Trapezoidal - -Simpson's Rule - -\href{https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter21.00-Numerical-Integration.html}{Read -More} - -\subsection{Numerical Solutions of Ordinary Differential -Equations}\label{numerical-solutions-of-ordinary-differential-equations} - -Euler's Method - Forward - Backwards - -Runge-Kutta Method - -\href{https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter22.00-ODE-Initial-Value-Problems.html}{Read -More} |