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-\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}