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   "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)"
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