mirror of
https://github.com/Karaka-Management/phpOMS.git
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216 lines
4.9 KiB
PHP
216 lines
4.9 KiB
PHP
<?php
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/**
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* Orange Management
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*
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* PHP Version 7.4
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*
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* @package tests
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* @copyright Dennis Eichhorn
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* @license OMS License 1.0
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* @version 1.0.0
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* @link https://orange-management.org
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*/
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declare(strict_types=1);
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namespace phpOMS\tests\Math\Matrix;
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use phpOMS\Math\Matrix\LUDecomposition;
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use phpOMS\Math\Matrix\Matrix;
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use phpOMS\Math\Matrix\Vector;
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/**
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* @testdox phpOMS\tests\Math\Matrix\LUDecompositionTest: LU decomposition
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*
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* @internal
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*/
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class LUDecompositionTest extends \PHPUnit\Framework\TestCase
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{
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/**
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* @testdox The L matrix of the decomposition can be calculated
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* @covers phpOMS\Math\Matrix\LUDecomposition
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* @group framework
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*/
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public function testL() : void
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{
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$B = new Matrix();
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$B->setMatrix([
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[25, 15, -5],
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[15, 17, 0],
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[-5, 0, 11],
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]);
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$lu = new LUDecomposition($B);
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self::assertEqualsWithDelta([
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[1, 0, 0],
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[0.6, 1, 0],
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[-0.2, 0.375, 1],
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], $lu->getL()->toArray(), 0.2);
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}
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/**
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* @testdox The U matrix of the decomposition can be calculated
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* @covers phpOMS\Math\Matrix\LUDecomposition
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* @group framework
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*/
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public function testU() : void
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{
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$B = new Matrix();
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$B->setMatrix([
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[25, 15, -5],
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[15, 17, 0],
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[-5, 0, 11],
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]);
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$lu = new LUDecomposition($B);
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self::assertEqualsWithDelta([
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[25, 15, -5],
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[0, 8, 3],
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[0, 0, 8.875],
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], $lu->getU()->toArray(), 0.2);
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}
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/**
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* @testdox The matrix can be checked for singularity
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* @covers phpOMS\Math\Matrix\LUDecomposition
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* @group framework
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*/
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public function testSingularity() : void
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{
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$A = new Matrix();
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$A->setMatrix([
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[25, 15, -5],
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[15, 17, 0],
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[-5, 0, 11],
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]);
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$lu = new LUDecomposition($A);
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self::assertTrue($lu->isNonSingular());
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$B = new Matrix();
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$B->setMatrix([
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[25, 15, -5],
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[0, 0, 1],
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[0, 0, 2],
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]);
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$luB = new LUDecomposition($B);
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self::assertFalse($luB->isNonSingular());
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}
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/**
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* @testdox The equation Ax = b can be solved for a none-singular matrix
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* @covers phpOMS\Math\Matrix\LUDecomposition
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* @group framework
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*/
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public function testSolve() : void
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{
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$B = new Matrix();
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$B->setMatrix([
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[25, 15, -5],
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[15, 17, 0],
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[-5, 0, 11],
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]);
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$lu = new LUDecomposition($B);
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$vec = new Vector();
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$vec->setMatrix([[40], [49], [28]]);
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self::assertEqualsWithDelta([[1], [2], [3]], $lu->solve($vec)->toArray(), 0.2);
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}
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/**
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* @testdox The pivots of the decomposition can be calculated
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* @covers phpOMS\Math\Matrix\LUDecomposition
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* @group framework
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*/
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public function testPivot() : void
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{
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$B = new Matrix();
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$B->setMatrix([
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[25, 15, -5],
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[15, 17, 0],
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[-5, 0, 11],
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]);
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$lu = new LUDecomposition($B);
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self::assertEquals([0, 1, 2], $lu->getPivot());
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}
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/**
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* @testdox The equation Ax = b can be solved for a singular matrix
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* @covers phpOMS\Math\Matrix\LUDecomposition
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* @group framework
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*/
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public function testSolveOfSingularMatrix() : void
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{
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self::expectException(\Exception::class);
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$B = new Matrix();
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$B->setMatrix([
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[25, 15, -5],
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[0, 0, 1],
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[0, 0, 2],
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]);
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$lu = new LUDecomposition($B);
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$vec = new Vector();
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$vec->setMatrix([[40], [49], [28]]);
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$lu->solve($vec);
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}
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/**
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* @testdox The decomposition can be created and the original matrix can be computed
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* @covers phpOMS\Math\Matrix\LUDecomposition
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* @group framework
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*/
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public function testComposition() : void
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{
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$A = new Matrix();
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$A->setMatrix([
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[25, 15, -5],
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[15, 17, 0],
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[-5, 0, 11],
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]);
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$lu = new LUDecomposition($A);
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self::assertEqualsWithDelta(
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$A->toArray(),
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$lu->getL()
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->mult($lu->getU())
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->toArray(),
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0.2
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);
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}
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/**
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* @testdox A invalid vector throws a InvalidDimensionException
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* @covers phpOMS\Math\Matrix\LUDecomposition
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* @group framework
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*/
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public function testInvalidDimension() : void
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{
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self::expectException(\phpOMS\Math\Matrix\Exception\InvalidDimensionException::class);
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$B = new Matrix();
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$B->setMatrix([
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[25, 15, -5],
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[15, 17, 0],
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[-5, 0, 11],
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]);
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$lu = new LUDecomposition($B);
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$vec = new Vector();
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$vec->setMatrix([[40], [49]]);
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$lu->solve($vec);
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}
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}
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