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ortools-clone/examples/notebook/linear_solver/simple_lp_program.ipynb
Corentin Le Molgat 27121a1068 Update examples/notebook
generated using ./tools/gen_all_notebook.sh
2020-03-04 14:34:33 +01:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Copyright 2010-2018 Google LLC\n",
"# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
"# you may not use this file except in compliance with the License.\n",
"# You may obtain a copy of the License at\n",
"#\n",
"# http://www.apache.org/licenses/LICENSE-2.0\n",
"#\n",
"# Unless required by applicable law or agreed to in writing, software\n",
"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
"# See the License for the specific language governing permissions and\n",
"# limitations under the License.\n",
"\"\"\"Minimal example to call the GLOP solver.\"\"\"\n",
"# [START program]\n",
"# [START import]\n",
"from __future__ import print_function\n",
"from ortools.linear_solver import pywraplp\n",
"# [END import]\n",
"\n",
"\n",
"# [START solver]\n",
"# Create the linear solver with the GLOP backend.\n",
"solver = pywraplp.Solver('simple_lp_program',\n",
" pywraplp.Solver.GLOP_LINEAR_PROGRAMMING)\n",
"# [END solver]\n",
"\n",
"# [START variables]\n",
"# Create the variables x and y.\n",
"x = solver.NumVar(0, 1, 'x')\n",
"y = solver.NumVar(0, 2, 'y')\n",
"\n",
"print('Number of variables =', solver.NumVariables())\n",
"# [END variables]\n",
"\n",
"# [START constraints]\n",
"# Create a linear constraint, 0 <= x + y <= 2.\n",
"ct = solver.Constraint(0, 2, 'ct')\n",
"ct.SetCoefficient(x, 1)\n",
"ct.SetCoefficient(y, 1)\n",
"\n",
"print('Number of constraints =', solver.NumConstraints())\n",
"# [END constraints]\n",
"\n",
"# [START objective]\n",
"# Create the objective function, 3 * x + y.\n",
"objective = solver.Objective()\n",
"objective.SetCoefficient(x, 3)\n",
"objective.SetCoefficient(y, 1)\n",
"objective.SetMaximization()\n",
"# [END objective]\n",
"\n",
"# [START solve]\n",
"solver.Solve()\n",
"# [END solve]\n",
"\n",
"# [START print_solution]\n",
"print('Solution:')\n",
"print('Objective value =', objective.Value())\n",
"print('x =', x.solution_value())\n",
"print('y =', y.solution_value())\n",
"# [END print_solution]\n",
"\n"
]
}
],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 4
}