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											2010-08-26 19:14:53 +00:00
										 |  |  | <?php | 
					
						
							|  |  |  | /** | 
					
						
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										 |  |  |  *    @package JAMA | 
					
						
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											2010-08-26 19:14:53 +00:00
										 |  |  |  * | 
					
						
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										 |  |  |  *    Cholesky decomposition class | 
					
						
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										 |  |  |  * | 
					
						
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										 |  |  |  *    For a symmetric, positive definite matrix A, the Cholesky decomposition | 
					
						
							|  |  |  |  *    is an lower triangular matrix L so that A = L*L'. | 
					
						
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										 |  |  |  * | 
					
						
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										 |  |  |  *    If the matrix is not symmetric or positive definite, the constructor | 
					
						
							|  |  |  |  *    returns a partial decomposition and sets an internal flag that may | 
					
						
							|  |  |  |  *    be queried by the isSPD() method. | 
					
						
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										 |  |  |  * | 
					
						
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										 |  |  |  *    @author Paul Meagher | 
					
						
							|  |  |  |  *    @author Michael Bommarito | 
					
						
							|  |  |  |  *    @version 1.2 | 
					
						
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										 |  |  |  */ | 
					
						
							|  |  |  | class CholeskyDecomposition { | 
					
						
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										 |  |  |     /** | 
					
						
							|  |  |  |      *    Decomposition storage | 
					
						
							|  |  |  |      *    @var array | 
					
						
							|  |  |  |      *    @access private | 
					
						
							|  |  |  |      */ | 
					
						
							|  |  |  |     private $L = array(); | 
					
						
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							|  |  |  |     /** | 
					
						
							|  |  |  |      *    Matrix row and column dimension | 
					
						
							|  |  |  |      *    @var int | 
					
						
							|  |  |  |      *    @access private | 
					
						
							|  |  |  |      */ | 
					
						
							|  |  |  |     private $m; | 
					
						
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							|  |  |  |     /** | 
					
						
							|  |  |  |      *    Symmetric positive definite flag | 
					
						
							|  |  |  |      *    @var boolean | 
					
						
							|  |  |  |      *    @access private | 
					
						
							|  |  |  |      */ | 
					
						
							|  |  |  |     private $isspd = true; | 
					
						
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							|  |  |  |     /** | 
					
						
							|  |  |  |      *    CholeskyDecomposition | 
					
						
							|  |  |  |      * | 
					
						
							|  |  |  |      *    Class constructor - decomposes symmetric positive definite matrix | 
					
						
							|  |  |  |      *    @param mixed Matrix square symmetric positive definite matrix | 
					
						
							|  |  |  |      */ | 
					
						
							|  |  |  |     public function __construct($A = null) { | 
					
						
							|  |  |  |         if ($A instanceof Matrix) { | 
					
						
							|  |  |  |             $this->L = $A->getArray(); | 
					
						
							|  |  |  |             $this->m = $A->getRowDimension(); | 
					
						
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							|  |  |  |             for($i = 0; $i < $this->m; ++$i) { | 
					
						
							|  |  |  |                 for($j = $i; $j < $this->m; ++$j) { | 
					
						
							|  |  |  |                     for($sum = $this->L[$i][$j], $k = $i - 1; $k >= 0; --$k) { | 
					
						
							|  |  |  |                         $sum -= $this->L[$i][$k] * $this->L[$j][$k]; | 
					
						
							|  |  |  |                     } | 
					
						
							|  |  |  |                     if ($i == $j) { | 
					
						
							|  |  |  |                         if ($sum >= 0) { | 
					
						
							|  |  |  |                             $this->L[$i][$i] = sqrt($sum); | 
					
						
							|  |  |  |                         } else { | 
					
						
							|  |  |  |                             $this->isspd = false; | 
					
						
							|  |  |  |                         } | 
					
						
							|  |  |  |                     } else { | 
					
						
							|  |  |  |                         if ($this->L[$i][$i] != 0) { | 
					
						
							|  |  |  |                             $this->L[$j][$i] = $sum / $this->L[$i][$i]; | 
					
						
							|  |  |  |                         } | 
					
						
							|  |  |  |                     } | 
					
						
							|  |  |  |                 } | 
					
						
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							|  |  |  |                 for ($k = $i+1; $k < $this->m; ++$k) { | 
					
						
							|  |  |  |                     $this->L[$i][$k] = 0.0; | 
					
						
							|  |  |  |                 } | 
					
						
							|  |  |  |             } | 
					
						
							|  |  |  |         } else { | 
					
						
							|  |  |  |             throw new PHPExcel_Calculation_Exception(JAMAError(ArgumentTypeException)); | 
					
						
							|  |  |  |         } | 
					
						
							|  |  |  |     }    //    function __construct()
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							|  |  |  |     /** | 
					
						
							|  |  |  |      *    Is the matrix symmetric and positive definite? | 
					
						
							|  |  |  |      * | 
					
						
							|  |  |  |      *    @return boolean | 
					
						
							|  |  |  |      */ | 
					
						
							|  |  |  |     public function isSPD() { | 
					
						
							|  |  |  |         return $this->isspd; | 
					
						
							|  |  |  |     }    //    function isSPD()
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							|  |  |  |     /** | 
					
						
							|  |  |  |      *    getL | 
					
						
							|  |  |  |      * | 
					
						
							|  |  |  |      *    Return triangular factor. | 
					
						
							|  |  |  |      *    @return Matrix Lower triangular matrix | 
					
						
							|  |  |  |      */ | 
					
						
							|  |  |  |     public function getL() { | 
					
						
							|  |  |  |         return new Matrix($this->L); | 
					
						
							|  |  |  |     }    //    function getL()
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							|  |  |  |     /** | 
					
						
							|  |  |  |      *    Solve A*X = B | 
					
						
							|  |  |  |      * | 
					
						
							|  |  |  |      *    @param $B Row-equal matrix | 
					
						
							|  |  |  |      *    @return Matrix L * L' * X = B | 
					
						
							|  |  |  |      */ | 
					
						
							|  |  |  |     public function solve($B = null) { | 
					
						
							|  |  |  |         if ($B instanceof Matrix) { | 
					
						
							|  |  |  |             if ($B->getRowDimension() == $this->m) { | 
					
						
							|  |  |  |                 if ($this->isspd) { | 
					
						
							|  |  |  |                     $X  = $B->getArrayCopy(); | 
					
						
							|  |  |  |                     $nx = $B->getColumnDimension(); | 
					
						
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							|  |  |  |                     for ($k = 0; $k < $this->m; ++$k) { | 
					
						
							|  |  |  |                         for ($i = $k + 1; $i < $this->m; ++$i) { | 
					
						
							|  |  |  |                             for ($j = 0; $j < $nx; ++$j) { | 
					
						
							|  |  |  |                                 $X[$i][$j] -= $X[$k][$j] * $this->L[$i][$k]; | 
					
						
							|  |  |  |                             } | 
					
						
							|  |  |  |                         } | 
					
						
							|  |  |  |                         for ($j = 0; $j < $nx; ++$j) { | 
					
						
							|  |  |  |                             $X[$k][$j] /= $this->L[$k][$k]; | 
					
						
							|  |  |  |                         } | 
					
						
							|  |  |  |                     } | 
					
						
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							|  |  |  |                     for ($k = $this->m - 1; $k >= 0; --$k) { | 
					
						
							|  |  |  |                         for ($j = 0; $j < $nx; ++$j) { | 
					
						
							|  |  |  |                             $X[$k][$j] /= $this->L[$k][$k]; | 
					
						
							|  |  |  |                         } | 
					
						
							|  |  |  |                         for ($i = 0; $i < $k; ++$i) { | 
					
						
							|  |  |  |                             for ($j = 0; $j < $nx; ++$j) { | 
					
						
							|  |  |  |                                 $X[$i][$j] -= $X[$k][$j] * $this->L[$k][$i]; | 
					
						
							|  |  |  |                             } | 
					
						
							|  |  |  |                         } | 
					
						
							|  |  |  |                     } | 
					
						
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							|  |  |  |                     return new Matrix($X, $this->m, $nx); | 
					
						
							|  |  |  |                 } else { | 
					
						
							|  |  |  |                     throw new PHPExcel_Calculation_Exception(JAMAError(MatrixSPDException)); | 
					
						
							|  |  |  |                 } | 
					
						
							|  |  |  |             } else { | 
					
						
							|  |  |  |                 throw new PHPExcel_Calculation_Exception(JAMAError(MatrixDimensionException)); | 
					
						
							|  |  |  |             } | 
					
						
							|  |  |  |         } else { | 
					
						
							|  |  |  |             throw new PHPExcel_Calculation_Exception(JAMAError(ArgumentTypeException)); | 
					
						
							|  |  |  |         } | 
					
						
							|  |  |  |     }    //    function solve()
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							|  |  |  | }    //    class CholeskyDecomposition
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