131 lines
3.6 KiB
Plaintext
131 lines
3.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "google",
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"metadata": {},
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"source": [
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"##### Copyright 2022 Google LLC."
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]
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},
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{
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"cell_type": "markdown",
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"id": "apache",
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"metadata": {},
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"source": [
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"Licensed under the Apache License, Version 2.0 (the \"License\");\n",
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"you may not use this file except in compliance with the License.\n",
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"You may obtain a copy of the License at\n",
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"\n",
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" http://www.apache.org/licenses/LICENSE-2.0\n",
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"\n",
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"Unless required by applicable law or agreed to in writing, software\n",
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"distributed under the License is distributed on an \"AS IS\" BASIS,\n",
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"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
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"See the License for the specific language governing permissions and\n",
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"limitations under the License.\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "basename",
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"metadata": {},
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"source": [
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"# basic_example"
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]
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},
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{
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"cell_type": "markdown",
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"id": "link",
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"metadata": {},
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"source": [
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"<table align=\"left\">\n",
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"<td>\n",
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"<a href=\"https://colab.research.google.com/github/google/or-tools/blob/main/examples/notebook/linear_solver/basic_example.ipynb\"><img src=\"https://raw.githubusercontent.com/google/or-tools/main/tools/colab_32px.png\"/>Run in Google Colab</a>\n",
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"</td>\n",
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"<td>\n",
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"<a href=\"https://github.com/google/or-tools/blob/main/ortools/linear_solver/samples/basic_example.py\"><img src=\"https://raw.githubusercontent.com/google/or-tools/main/tools/github_32px.png\"/>View source on GitHub</a>\n",
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"</td>\n",
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"</table>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "doc",
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"metadata": {},
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"source": [
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"First, you must install [ortools](https://pypi.org/project/ortools/) package in this colab."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "install",
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install ortools"
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]
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},
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{
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"cell_type": "markdown",
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"id": "description",
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"metadata": {},
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"source": [
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"\n",
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"Minimal example to call the GLOP solver."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "code",
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"metadata": {},
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"outputs": [],
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"source": [
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"from ortools.linear_solver import pywraplp\n",
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"\n",
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"\n",
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"def main():\n",
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" # Create the linear solver with the GLOP backend.\n",
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" solver = pywraplp.Solver.CreateSolver(\"GLOP\")\n",
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" if not solver:\n",
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" return\n",
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"\n",
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" # Create the variables x and y.\n",
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" x = solver.NumVar(0, 1, \"x\")\n",
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" y = solver.NumVar(0, 2, \"y\")\n",
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"\n",
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" print(\"Number of variables =\", solver.NumVariables())\n",
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"\n",
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" # Create a linear constraint, 0 <= x + y <= 2.\n",
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" ct = solver.Constraint(0, 2, \"ct\")\n",
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" ct.SetCoefficient(x, 1)\n",
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" ct.SetCoefficient(y, 1)\n",
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"\n",
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" print(\"Number of constraints =\", solver.NumConstraints())\n",
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"\n",
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" # Create the objective function, 3 * x + y.\n",
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" objective = solver.Objective()\n",
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" objective.SetCoefficient(x, 3)\n",
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" objective.SetCoefficient(y, 1)\n",
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" objective.SetMaximization()\n",
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"\n",
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" solver.Solve()\n",
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"\n",
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" print(\"Solution:\")\n",
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" print(\"Objective value =\", objective.Value())\n",
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" print(\"x =\", x.solution_value())\n",
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" print(\"y =\", y.solution_value())\n",
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"\n",
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"\n",
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"main()\n",
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"\n"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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