|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "Simpson's Rule is a numerical method that approximates the value of a definite integral by using quadratic functions. This method is named after the English mathematician Thomas Simpson (1710−1761)." |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "markdown", |
| 12 | + "metadata": {}, |
| 13 | + "source": [ |
| 14 | + "Let's check this method for the next function: $$f(x) = ({e^x / 2})*(cos(x)-sin(x))$$ with $\\varepsilon = 0.001$" |
| 15 | + ] |
| 16 | + }, |
| 17 | + { |
| 18 | + "cell_type": "code", |
| 19 | + "execution_count": 1, |
| 20 | + "metadata": {}, |
| 21 | + "outputs": [], |
| 22 | + "source": [ |
| 23 | + "import math \n", |
| 24 | + "import numpy as np\n", |
| 25 | + "\n", |
| 26 | + "def simpsone(a, b, n, func):\n", |
| 27 | + " h = float((b-a)/n)\n", |
| 28 | + " s = (func(a) + func(b)) * 0.5\n", |
| 29 | + " for i in np.arange(0, n-1):\n", |
| 30 | + " xk = a + h*i\n", |
| 31 | + " xk1 = a + h*(i-1)\n", |
| 32 | + " s = s + func(xk) + 2*func((xk1+xk)/2)\n", |
| 33 | + " x = a + h*n\n", |
| 34 | + " x1 = a + h*(n-1)\n", |
| 35 | + " s += 2 *func((x1 + x)/2)\n", |
| 36 | + " return s*h/3.0" |
| 37 | + ] |
| 38 | + }, |
| 39 | + { |
| 40 | + "cell_type": "markdown", |
| 41 | + "metadata": {}, |
| 42 | + "source": [ |
| 43 | + "## Some input data" |
| 44 | + ] |
| 45 | + }, |
| 46 | + { |
| 47 | + "cell_type": "code", |
| 48 | + "execution_count": 2, |
| 49 | + "metadata": {}, |
| 50 | + "outputs": [ |
| 51 | + { |
| 52 | + "name": "stdout", |
| 53 | + "output_type": "stream", |
| 54 | + "text": [ |
| 55 | + "Result: -8.404153016168566\n" |
| 56 | + ] |
| 57 | + } |
| 58 | + ], |
| 59 | + "source": [ |
| 60 | + "f = lambda x: (math.e**x / 2)*(math.cos(x)-math.sin(x))\n", |
| 61 | + "\n", |
| 62 | + "n = 10000 \n", |
| 63 | + "a = 2.0\n", |
| 64 | + "b = 3.0\n", |
| 65 | + "\n", |
| 66 | + "print(\"Result: \", simpsone(a, b, n, f))" |
| 67 | + ] |
| 68 | + } |
| 69 | + ], |
| 70 | + "metadata": { |
| 71 | + "kernelspec": { |
| 72 | + "display_name": "Python 3", |
| 73 | + "language": "python", |
| 74 | + "name": "python3" |
| 75 | + }, |
| 76 | + "language_info": { |
| 77 | + "codemirror_mode": { |
| 78 | + "name": "ipython", |
| 79 | + "version": 3 |
| 80 | + }, |
| 81 | + "file_extension": ".py", |
| 82 | + "mimetype": "text/x-python", |
| 83 | + "name": "python", |
| 84 | + "nbconvert_exporter": "python", |
| 85 | + "pygments_lexer": "ipython3", |
| 86 | + "version": "3.7.6" |
| 87 | + } |
| 88 | + }, |
| 89 | + "nbformat": 4, |
| 90 | + "nbformat_minor": 4 |
| 91 | +} |
0 commit comments