PHP library for solving linear programming problems using dual simplex algorithm.
NOTE: Basis cycling detection is not implemented.
The recommended way is to use Composer:
composer require uestla/simplex-calculator
You can also download the latest release as a ZIP file.
Please name all your input variables as x<n>
where <n>
is a natural number (see example below for details).
// using Composer
require_once __DIR__ . '/vendor/autoload.php';
// using manual download
require_once __DIR__ . '/Simplex/simplex.php';
// define task: Maximize x1 + 2x2
$task = new Simplex\Task(new Simplex\Func(array(
'x1' => 1,
'x2' => 2,
)));
// add constraints
// 3x1 + 2x2 <= 24
$task->addRestriction(new Simplex\Restriction(array(
'x1' => 3,
'x2' => 2,
), Simplex\Restriction::TYPE_LOE, 24));
// -2x1 - 4x2 >= -32
$task->addRestriction(new Simplex\Restriction(array(
'x1' => -2,
'x2' => -4,
), Simplex\Restriction::TYPE_GOE, -32));
// create solver
$solver = new Simplex\Solver($task);
// get solutions
$solution = $solver->getSolution(); // array('x1' => 0, 'x2' => 8, 'x3' => 8, 'x4' => 0)
$alternativeSolutions = $solver->getAlternativeSolution(); // array(array('x1' => 4, 'x2' => 6, 'x3' => 0, 'x4' => 0))
// get optimal value
$optimum = $solver->getSolutionValue($solution); // 16
// print solutions
$printer = new Simplex\Printer;
$printer->printSolution($solver);
// or print the whole solution process
$printer->printSolver($solver);
$solver->getSolutions()
returns primary optimal solution. The value can be of 3 types:
array
- vector with optimal coefficients to each input variablefalse
- optimal solution does not existnull
- not enough steps to find solutionBy default, solver stops the calculation after 16 simplex tables. You can increase the maximum steps limit with the second parameter:
$solver = new Simplex\Solver($task, 32);
$solver->getAlternativeSolutions()
returns array of other optimal solutions if any have been found. It may return:
array
- array of vectors with alternative optimal solutionsnull
- no alternative optimal solution found