49                if ($A instanceof Matrix) {
 
   50                        $this->
L = $A->getArray();
 
   51                        $this->m = $A->getRowDimension();
 
   55                                        for($sum = $this->
L[
$i][$j], $k = 
$i - 1; $k >= 0; --$k) {
 
   56                                                $sum -= $this->
L[
$i][$k] * $this->
L[$j][$k];
 
   60                                                        $this->
L[
$i][
$i] = sqrt($sum);
 
   65                                                if ($this->
L[
$i][
$i] != 0) {
 
   66                                                        $this->
L[$j][
$i] = $sum / $this->
L[
$i][
$i];
 
   72                                        $this->
L[
$i][$k] = 0.0;
 
   98                return new Matrix($this->
L);
 
  109                if ($B instanceof Matrix) {
 
  110                        if ($B->getRowDimension() == $this->m) {
 
  112                                        $X  = $B->getArrayCopy();
 
  113                                        $nx = $B->getColumnDimension();
 
  117                                                        for ($j = 0; $j < $nx; ++$j) {
 
  118                                                                $X[
$i][$j] -= $X[$k][$j] * $this->
L[
$i][$k];
 
  121                                                for ($j = 0; $j < $nx; ++$j) {
 
  122                                                        $X[$k][$j] /= $this->
L[$k][$k];
 
  126                                        for ($k = $this->m - 1; $k >= 0; --$k) {
 
  127                                                for ($j = 0; $j < $nx; ++$j) {
 
  128                                                        $X[$k][$j] /= $this->
L[$k][$k];
 
  130                                                for (
$i = 0; 
$i < $k; ++
$i) {
 
  131                                                        for ($j = 0; $j < $nx; ++$j) {
 
  132                                                                $X[
$i][$j] -= $X[$k][$j] * $this->
L[$k][
$i];
 
  137                                        return new Matrix($X, $this->m, $nx);
 
An exception for terminatinating execution or to throw for unit testing.
isSPD()
Is the matrix symmetric and positive definite?
__construct($A=null)
CholeskyDecomposition.
solve($B=null)
Solve A*X = B.
const MatrixDimensionException
const ArgumentTypeException
JAMAError($errorNumber=null)
Custom error handler.