{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Chapter 8 - Linear Programming and Game Theory" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ex:8.2.2 Pg: 238" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "New corner: [ 0. 0. 0. 0.33333333 3. ]\n", "Minimum cost: -9.33333333333\n" ] } ], "source": [ "from scipy.optimize import linprog\n", "from numpy import array, transpose\n", "A=array([[1, 0 ,1 ,6, 2],[0, 1, 1, 0, 3]])\n", "b=transpose(array([8, 9]))\n", "c=transpose(array([0, 0, 7 ,-1, -3]))\n", "lb=transpose(array([0, 0 ,0 ,0 ,0]))\n", "ub=[]\n", "ans=linprog(c,A,b)\n", "x=ans.x\n", "f=ans.fun\n", "print 'New corner:',x\n", "print 'Minimum cost:',f" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.9" } }, "nbformat": 4, "nbformat_minor": 0 }