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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Numerical Methods\n",
+    "\n",
+    "Engineering\n",
+    "\n",
+    "## What is a numerical method?\n",
+    "\n",
+    "Numerical methods are techniques that transform mathematical problems\n",
+    "into forms that can be solved using arithmetic and logical operations.\n",
+    "Because digital computers excel at these computations, numerical methods\n",
+    "are often referred to as computer mathematics.\n",
+    "\n",
+    "## Numerical Differentiation\n",
+    "\n",
+    "Forwards difference Backwards difference\n",
+    "\n",
+    "[Read\n",
+    "More](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter20.00-Numerical-Differentiation.html)\n",
+    "\n",
+    "## Roots and Optimization\n",
+    "\n",
+    "Incremental Search Bisection Modified Secant Newton-Raphson\n",
+    "\n",
+    "## Numerical Integration\n",
+    "\n",
+    "Trapezoidal\n",
+    "\n",
+    "Simpson’s Rule\n",
+    "\n",
+    "[Read\n",
+    "More](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter21.00-Numerical-Integration.html)\n",
+    "\n",
+    "## Numerical Solutions of Ordinary Differential Equations\n",
+    "\n",
+    "Euler’s Method - Forward - Backwards\n",
+    "\n",
+    "Runge-Kutta Method\n",
+    "\n",
+    "[Read\n",
+    "More](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter22.00-ODE-Initial-Value-Problems.html)"
+   ],
+   "id": "47b4ca7c-5bc4-4436-9ecd-ab541d2a2bcc"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}