|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "# Linear Search" |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "code", |
| 12 | + "execution_count": null, |
| 13 | + "metadata": {}, |
| 14 | + "outputs": [], |
| 15 | + "source": [ |
| 16 | + "list_ = [2, 13, 6, 5, 125]" |
| 17 | + ] |
| 18 | + }, |
| 19 | + { |
| 20 | + "cell_type": "code", |
| 21 | + "execution_count": null, |
| 22 | + "metadata": {}, |
| 23 | + "outputs": [], |
| 24 | + "source": [ |
| 25 | + "def linear_search(list_, k):\n", |
| 26 | + " \n", |
| 27 | + " for i in list_:\n", |
| 28 | + " if k == i:\n", |
| 29 | + " return \"Found\"\n", |
| 30 | + " else:\n", |
| 31 | + " return \"Not Found\"" |
| 32 | + ] |
| 33 | + }, |
| 34 | + { |
| 35 | + "cell_type": "code", |
| 36 | + "execution_count": null, |
| 37 | + "metadata": {}, |
| 38 | + "outputs": [], |
| 39 | + "source": [ |
| 40 | + "linear_search(list_, 2)" |
| 41 | + ] |
| 42 | + }, |
| 43 | + { |
| 44 | + "cell_type": "markdown", |
| 45 | + "metadata": {}, |
| 46 | + "source": [ |
| 47 | + "# Binary Search" |
| 48 | + ] |
| 49 | + }, |
| 50 | + { |
| 51 | + "cell_type": "code", |
| 52 | + "execution_count": 2, |
| 53 | + "metadata": {}, |
| 54 | + "outputs": [], |
| 55 | + "source": [ |
| 56 | + "list_ = [2, 4, 6, 8, 10]" |
| 57 | + ] |
| 58 | + }, |
| 59 | + { |
| 60 | + "cell_type": "code", |
| 61 | + "execution_count": 3, |
| 62 | + "metadata": {}, |
| 63 | + "outputs": [], |
| 64 | + "source": [ |
| 65 | + "def binary_search(sorted_list, k):\n", |
| 66 | + " if len(sorted_list) < 2:\n", |
| 67 | + " \n", |
| 68 | + " if sorted_list[0] == k:\n", |
| 69 | + " return \"Found\"\n", |
| 70 | + " else:\n", |
| 71 | + " return \"Not Found\"\n", |
| 72 | + " else:\n", |
| 73 | + " mid = len(sorted_list) // 2\n", |
| 74 | + " if mid == k:\n", |
| 75 | + " return \"Found\"\n", |
| 76 | + " else:\n", |
| 77 | + " if k < sorted_list[mid]:\n", |
| 78 | + " return binary_search(sorted_list[:mid], k)\n", |
| 79 | + " else:\n", |
| 80 | + " return binary_search(sorted_list[mid:], k)" |
| 81 | + ] |
| 82 | + }, |
| 83 | + { |
| 84 | + "cell_type": "code", |
| 85 | + "execution_count": 5, |
| 86 | + "metadata": {}, |
| 87 | + "outputs": [ |
| 88 | + { |
| 89 | + "data": { |
| 90 | + "text/plain": [ |
| 91 | + "'Not Found'" |
| 92 | + ] |
| 93 | + }, |
| 94 | + "execution_count": 5, |
| 95 | + "metadata": {}, |
| 96 | + "output_type": "execute_result" |
| 97 | + } |
| 98 | + ], |
| 99 | + "source": [ |
| 100 | + "binary_search(list_, 16)" |
| 101 | + ] |
| 102 | + }, |
| 103 | + { |
| 104 | + "cell_type": "code", |
| 105 | + "execution_count": null, |
| 106 | + "metadata": {}, |
| 107 | + "outputs": [], |
| 108 | + "source": [] |
| 109 | + } |
| 110 | + ], |
| 111 | + "metadata": { |
| 112 | + "kernelspec": { |
| 113 | + "display_name": "ml_env", |
| 114 | + "language": "python", |
| 115 | + "name": "python3" |
| 116 | + }, |
| 117 | + "language_info": { |
| 118 | + "codemirror_mode": { |
| 119 | + "name": "ipython", |
| 120 | + "version": 3 |
| 121 | + }, |
| 122 | + "file_extension": ".py", |
| 123 | + "mimetype": "text/x-python", |
| 124 | + "name": "python", |
| 125 | + "nbconvert_exporter": "python", |
| 126 | + "pygments_lexer": "ipython3", |
| 127 | + "version": "3.9.18" |
| 128 | + } |
| 129 | + }, |
| 130 | + "nbformat": 4, |
| 131 | + "nbformat_minor": 2 |
| 132 | +} |
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