@@ -1,6 +1,6 @@ discard block |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\DimensionReduction; |
| 6 | 6 | |
@@ -46,7 +46,7 @@ discard block |
||
| 46 | 46 | */ |
| 47 | 47 | public function __construct(int $kernel = self::KERNEL_RBF, $totalVariance = null, $numFeatures = null, $gamma = null) |
| 48 | 48 | { |
| 49 | - if (! in_array($kernel, [self::KERNEL_RBF, self::KERNEL_SIGMOID, self::KERNEL_LAPLACIAN])) { |
|
| 49 | + if (!in_array($kernel, [self::KERNEL_RBF, self::KERNEL_SIGMOID, self::KERNEL_LAPLACIAN])) { |
|
| 50 | 50 | throw new \Exception("KernelPCA can be initialized with the following kernels only: RBF, Sigmoid and Laplacian"); |
| 51 | 51 | } |
| 52 | 52 | |
@@ -100,8 +100,8 @@ discard block |
||
| 100 | 100 | $kernelFunc = $this->getKernel(); |
| 101 | 101 | |
| 102 | 102 | $matrix = []; |
| 103 | - for ($i=0; $i < $numRows; $i++) { |
|
| 104 | - for ($k=0; $k < $numRows; $k++) { |
|
| 103 | + for ($i = 0; $i < $numRows; $i++) { |
|
| 104 | + for ($k = 0; $k < $numRows; $k++) { |
|
| 105 | 105 | if ($i <= $k) { |
| 106 | 106 | $matrix[$i][$k] = $kernelFunc($data[$i], $data[$k]); |
| 107 | 107 | } else { |
@@ -124,7 +124,7 @@ discard block |
||
| 124 | 124 | */ |
| 125 | 125 | protected function centerMatrix(array $matrix, int $n) |
| 126 | 126 | { |
| 127 | - $N = array_fill(0, $n, array_fill(0, $n, 1.0/$n)); |
|
| 127 | + $N = array_fill(0, $n, array_fill(0, $n, 1.0 / $n)); |
|
| 128 | 128 | $N = new Matrix($N, false); |
| 129 | 129 | $K = new Matrix($matrix, false); |
| 130 | 130 | |
@@ -157,7 +157,7 @@ discard block |
||
| 157 | 157 | case self::KERNEL_RBF: |
| 158 | 158 | // k(x,y)=exp(-γ.|x-y|) where |..| is Euclidean distance |
| 159 | 159 | $dist = new Euclidean(); |
| 160 | - return function ($x, $y = null) use ($dist) { |
|
| 160 | + return function($x, $y = null) use ($dist) { |
|
| 161 | 161 | if ($y === null) { |
| 162 | 162 | foreach ($x as $i => $element) { |
| 163 | 163 | $x[$i] = exp(-$this->gamma * $element); |
@@ -166,12 +166,12 @@ discard block |
||
| 166 | 166 | return $x; |
| 167 | 167 | } |
| 168 | 168 | |
| 169 | - return exp(-$this->gamma * $dist->distance($x, $y)); |
|
| 169 | + return exp(-$this->gamma * $dist->distance($x, $y)); |
|
| 170 | 170 | }; |
| 171 | 171 | |
| 172 | 172 | case self::KERNEL_SIGMOID: |
| 173 | 173 | // k(x,y)=tanh(γ.xT.y+c0) where c0=0 |
| 174 | - return function ($x, $y = null) { |
|
| 174 | + return function($x, $y = null) { |
|
| 175 | 175 | if ($y === null) { |
| 176 | 176 | foreach ($x as $i => $element) { |
| 177 | 177 | $x[$i] = tanh($this->gamma * $element); |
@@ -190,7 +190,7 @@ discard block |
||
| 190 | 190 | case self::KERNEL_LAPLACIAN: |
| 191 | 191 | // k(x,y)=exp(-γ.|x-y|) where |..| is Manhattan distance |
| 192 | 192 | $dist = new Manhattan(); |
| 193 | - return function ($x, $y = null) use ($dist) { |
|
| 193 | + return function($x, $y = null) use ($dist) { |
|
| 194 | 194 | if ($y === null) { |
| 195 | 195 | foreach ($x as $i => $element) { |
| 196 | 196 | $x[$i] = exp(-$this->gamma * $element); |
@@ -228,7 +228,7 @@ discard block |
||
| 228 | 228 | protected function projectSample(array $pairs) |
| 229 | 229 | { |
| 230 | 230 | // Normalize eigenvectors by eig = eigVectors / eigValues |
| 231 | - $func = function ($eigVal, $eigVect) { |
|
| 231 | + $func = function($eigVal, $eigVect) { |
|
| 232 | 232 | $m = new Matrix($eigVect, false); |
| 233 | 233 | $a = $m->divideByScalar(sqrt($eigVal))->toArray(); |
| 234 | 234 | |
@@ -1,6 +1,6 @@ discard block |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\DimensionReduction; |
| 6 | 6 | |
@@ -115,7 +115,7 @@ discard block |
||
| 115 | 115 | { |
| 116 | 116 | // Calculate means for each dimension |
| 117 | 117 | $this->means = []; |
| 118 | - for ($i=0; $i < $n; $i++) { |
|
| 118 | + for ($i = 0; $i < $n; $i++) { |
|
| 119 | 119 | $column = array_column($data, $i); |
| 120 | 120 | $this->means[] = Mean::arithmetic($column); |
| 121 | 121 | } |
@@ -138,7 +138,7 @@ discard block |
||
| 138 | 138 | |
| 139 | 139 | // Normalize data |
| 140 | 140 | foreach ($data as $i => $row) { |
| 141 | - for ($k=0; $k < $n; $k++) { |
|
| 141 | + for ($k = 0; $k < $n; $k++) { |
|
| 142 | 142 | $data[$i][$k] -= $this->means[$k]; |
| 143 | 143 | } |
| 144 | 144 | } |
@@ -160,13 +160,13 @@ discard block |
||
| 160 | 160 | { |
| 161 | 161 | $eig = new EigenvalueDecomposition($matrix); |
| 162 | 162 | $eigVals = $eig->getRealEigenvalues(); |
| 163 | - $eigVects= $eig->getEigenvectors(); |
|
| 163 | + $eigVects = $eig->getEigenvectors(); |
|
| 164 | 164 | $totalEigVal = array_sum($eigVals); |
| 165 | 165 | |
| 166 | 166 | $explainedVar = 0.0; |
| 167 | 167 | $vectors = []; |
| 168 | 168 | $values = []; |
| 169 | - for ($i=$n - 1; $i >= 0; $i--) { |
|
| 169 | + for ($i = $n - 1; $i >= 0; $i--) { |
|
| 170 | 170 | $explainedVar += $eigVals[$i] / $totalEigVal; |
| 171 | 171 | $vectors[] = $eigVects[$i]; |
| 172 | 172 | $values[] = $eigVals[$i]; |
@@ -214,7 +214,7 @@ discard block |
||
| 214 | 214 | throw new \Exception("PCA has not been fitted with respect to original dataset, please run PCA::fit() first"); |
| 215 | 215 | } |
| 216 | 216 | |
| 217 | - if (! is_array($sample[0])) { |
|
| 217 | + if (!is_array($sample[0])) { |
|
| 218 | 218 | $sample = [$sample]; |
| 219 | 219 | } |
| 220 | 220 | |
@@ -1,6 +1,6 @@ discard block |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\Math; |
| 6 | 6 | |
@@ -286,8 +286,8 @@ discard block |
||
| 286 | 286 | $a2 = $other->toArray(); |
| 287 | 287 | |
| 288 | 288 | $newMatrix = []; |
| 289 | - for ($i=0; $i < $this->rows; $i++) { |
|
| 290 | - for ($k=0; $k < $this->columns; $k++) { |
|
| 289 | + for ($i = 0; $i < $this->rows; $i++) { |
|
| 290 | + for ($k = 0; $k < $this->columns; $k++) { |
|
| 291 | 291 | $newMatrix[$i][$k] = $a1[$i][$k] + $sign * $a2[$i][$k]; |
| 292 | 292 | } |
| 293 | 293 | } |
@@ -428,7 +428,7 @@ discard block |
||
| 428 | 428 | */ |
| 429 | 429 | public static function map(array $array, $callable) |
| 430 | 430 | { |
| 431 | - $func = function ($row) use ($callable) { |
|
| 431 | + $func = function($row) use ($callable) { |
|
| 432 | 432 | return array_map($callable, $row); |
| 433 | 433 | }; |
| 434 | 434 | |
@@ -1,6 +1,6 @@ discard block |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\Math\Statistic; |
| 6 | 6 | |
@@ -133,14 +133,14 @@ discard block |
||
| 133 | 133 | |
| 134 | 134 | if ($means === null) { |
| 135 | 135 | $means = []; |
| 136 | - for ($i=0; $i < $n; $i++) { |
|
| 136 | + for ($i = 0; $i < $n; $i++) { |
|
| 137 | 137 | $means[] = Mean::arithmetic(array_column($data, $i)); |
| 138 | 138 | } |
| 139 | 139 | } |
| 140 | 140 | |
| 141 | 141 | $cov = []; |
| 142 | - for ($i=0; $i < $n; $i++) { |
|
| 143 | - for ($k=0; $k < $n; $k++) { |
|
| 142 | + for ($i = 0; $i < $n; $i++) { |
|
| 143 | + for ($k = 0; $k < $n; $k++) { |
|
| 144 | 144 | if ($i > $k) { |
| 145 | 145 | $cov[$i][$k] = $cov[$k][$i]; |
| 146 | 146 | } else { |
@@ -1,4 +1,4 @@ discard block |
||
| 1 | -<?php declare(strict_types=1); |
|
| 1 | +<?php declare(strict_types = 1); |
|
| 2 | 2 | /** |
| 3 | 3 | * |
| 4 | 4 | * Class to obtain eigenvalues and eigenvectors of a real matrix. |
@@ -86,10 +86,10 @@ discard block |
||
| 86 | 86 | // Bowdler, Martin, Reinsch, and Wilkinson, Handbook for |
| 87 | 87 | // Auto. Comp., Vol.ii-Linear Algebra, and the corresponding |
| 88 | 88 | // Fortran subroutine in EISPACK. |
| 89 | - $this->d = $this->V[$this->n-1]; |
|
| 89 | + $this->d = $this->V[$this->n - 1]; |
|
| 90 | 90 | // Householder reduction to tridiagonal form. |
| 91 | - for ($i = $this->n-1; $i > 0; --$i) { |
|
| 92 | - $i_ = $i -1; |
|
| 91 | + for ($i = $this->n - 1; $i > 0; --$i) { |
|
| 92 | + $i_ = $i - 1; |
|
| 93 | 93 | // Scale to avoid under/overflow. |
| 94 | 94 | $h = $scale = 0.0; |
| 95 | 95 | $scale += array_sum(array_map('abs', $this->d)); |
@@ -121,7 +121,7 @@ discard block |
||
| 121 | 121 | $f = $this->d[$j]; |
| 122 | 122 | $this->V[$j][$i] = $f; |
| 123 | 123 | $g = $this->e[$j] + $this->V[$j][$j] * $f; |
| 124 | - for ($k = $j+1; $k <= $i_; ++$k) { |
|
| 124 | + for ($k = $j + 1; $k <= $i_; ++$k) { |
|
| 125 | 125 | $g += $this->V[$k][$j] * $this->d[$k]; |
| 126 | 126 | $this->e[$k] += $this->V[$k][$j] * $f; |
| 127 | 127 | } |
@@ -136,7 +136,7 @@ discard block |
||
| 136 | 136 | $f += $this->e[$j] * $this->d[$j]; |
| 137 | 137 | } |
| 138 | 138 | $hh = $f / (2 * $h); |
| 139 | - for ($j=0; $j < $i; ++$j) { |
|
| 139 | + for ($j = 0; $j < $i; ++$j) { |
|
| 140 | 140 | $this->e[$j] -= $hh * $this->d[$j]; |
| 141 | 141 | } |
| 142 | 142 | for ($j = 0; $j < $i; ++$j) { |
@@ -145,7 +145,7 @@ discard block |
||
| 145 | 145 | for ($k = $j; $k <= $i_; ++$k) { |
| 146 | 146 | $this->V[$k][$j] -= ($f * $this->e[$k] + $g * $this->d[$k]); |
| 147 | 147 | } |
| 148 | - $this->d[$j] = $this->V[$i-1][$j]; |
|
| 148 | + $this->d[$j] = $this->V[$i - 1][$j]; |
|
| 149 | 149 | $this->V[$i][$j] = 0.0; |
| 150 | 150 | } |
| 151 | 151 | } |
@@ -153,18 +153,18 @@ discard block |
||
| 153 | 153 | } |
| 154 | 154 | |
| 155 | 155 | // Accumulate transformations. |
| 156 | - for ($i = 0; $i < $this->n-1; ++$i) { |
|
| 157 | - $this->V[$this->n-1][$i] = $this->V[$i][$i]; |
|
| 156 | + for ($i = 0; $i < $this->n - 1; ++$i) { |
|
| 157 | + $this->V[$this->n - 1][$i] = $this->V[$i][$i]; |
|
| 158 | 158 | $this->V[$i][$i] = 1.0; |
| 159 | - $h = $this->d[$i+1]; |
|
| 159 | + $h = $this->d[$i + 1]; |
|
| 160 | 160 | if ($h != 0.0) { |
| 161 | 161 | for ($k = 0; $k <= $i; ++$k) { |
| 162 | - $this->d[$k] = $this->V[$k][$i+1] / $h; |
|
| 162 | + $this->d[$k] = $this->V[$k][$i + 1] / $h; |
|
| 163 | 163 | } |
| 164 | 164 | for ($j = 0; $j <= $i; ++$j) { |
| 165 | 165 | $g = 0.0; |
| 166 | 166 | for ($k = 0; $k <= $i; ++$k) { |
| 167 | - $g += $this->V[$k][$i+1] * $this->V[$k][$j]; |
|
| 167 | + $g += $this->V[$k][$i + 1] * $this->V[$k][$j]; |
|
| 168 | 168 | } |
| 169 | 169 | for ($k = 0; $k <= $i; ++$k) { |
| 170 | 170 | $this->V[$k][$j] -= $g * $this->d[$k]; |
@@ -172,13 +172,13 @@ discard block |
||
| 172 | 172 | } |
| 173 | 173 | } |
| 174 | 174 | for ($k = 0; $k <= $i; ++$k) { |
| 175 | - $this->V[$k][$i+1] = 0.0; |
|
| 175 | + $this->V[$k][$i + 1] = 0.0; |
|
| 176 | 176 | } |
| 177 | 177 | } |
| 178 | 178 | |
| 179 | - $this->d = $this->V[$this->n-1]; |
|
| 180 | - $this->V[$this->n-1] = array_fill(0, $j, 0.0); |
|
| 181 | - $this->V[$this->n-1][$this->n-1] = 1.0; |
|
| 179 | + $this->d = $this->V[$this->n - 1]; |
|
| 180 | + $this->V[$this->n - 1] = array_fill(0, $j, 0.0); |
|
| 181 | + $this->V[$this->n - 1][$this->n - 1] = 1.0; |
|
| 182 | 182 | $this->e[0] = 0.0; |
| 183 | 183 | } |
| 184 | 184 | |
@@ -194,9 +194,9 @@ discard block |
||
| 194 | 194 | private function tql2() |
| 195 | 195 | { |
| 196 | 196 | for ($i = 1; $i < $this->n; ++$i) { |
| 197 | - $this->e[$i-1] = $this->e[$i]; |
|
| 197 | + $this->e[$i - 1] = $this->e[$i]; |
|
| 198 | 198 | } |
| 199 | - $this->e[$this->n-1] = 0.0; |
|
| 199 | + $this->e[$this->n - 1] = 0.0; |
|
| 200 | 200 | $f = 0.0; |
| 201 | 201 | $tst1 = 0.0; |
| 202 | 202 | $eps = pow(2.0, -52.0); |
@@ -220,14 +220,14 @@ discard block |
||
| 220 | 220 | $iter += 1; |
| 221 | 221 | // Compute implicit shift |
| 222 | 222 | $g = $this->d[$l]; |
| 223 | - $p = ($this->d[$l+1] - $g) / (2.0 * $this->e[$l]); |
|
| 223 | + $p = ($this->d[$l + 1] - $g) / (2.0 * $this->e[$l]); |
|
| 224 | 224 | $r = hypot($p, 1.0); |
| 225 | 225 | if ($p < 0) { |
| 226 | 226 | $r *= -1; |
| 227 | 227 | } |
| 228 | 228 | $this->d[$l] = $this->e[$l] / ($p + $r); |
| 229 | - $this->d[$l+1] = $this->e[$l] * ($p + $r); |
|
| 230 | - $dl1 = $this->d[$l+1]; |
|
| 229 | + $this->d[$l + 1] = $this->e[$l] * ($p + $r); |
|
| 230 | + $dl1 = $this->d[$l + 1]; |
|
| 231 | 231 | $h = $g - $this->d[$l]; |
| 232 | 232 | for ($i = $l + 2; $i < $this->n; ++$i) { |
| 233 | 233 | $this->d[$i] -= $h; |
@@ -239,22 +239,22 @@ discard block |
||
| 239 | 239 | $c2 = $c3 = $c; |
| 240 | 240 | $el1 = $this->e[$l + 1]; |
| 241 | 241 | $s = $s2 = 0.0; |
| 242 | - for ($i = $m-1; $i >= $l; --$i) { |
|
| 242 | + for ($i = $m - 1; $i >= $l; --$i) { |
|
| 243 | 243 | $c3 = $c2; |
| 244 | 244 | $c2 = $c; |
| 245 | 245 | $s2 = $s; |
| 246 | 246 | $g = $c * $this->e[$i]; |
| 247 | 247 | $h = $c * $p; |
| 248 | 248 | $r = hypot($p, $this->e[$i]); |
| 249 | - $this->e[$i+1] = $s * $r; |
|
| 249 | + $this->e[$i + 1] = $s * $r; |
|
| 250 | 250 | $s = $this->e[$i] / $r; |
| 251 | 251 | $c = $p / $r; |
| 252 | 252 | $p = $c * $this->d[$i] - $s * $g; |
| 253 | - $this->d[$i+1] = $h + $s * ($c * $g + $s * $this->d[$i]); |
|
| 253 | + $this->d[$i + 1] = $h + $s * ($c * $g + $s * $this->d[$i]); |
|
| 254 | 254 | // Accumulate transformation. |
| 255 | 255 | for ($k = 0; $k < $this->n; ++$k) { |
| 256 | - $h = $this->V[$k][$i+1]; |
|
| 257 | - $this->V[$k][$i+1] = $s * $this->V[$k][$i] + $c * $h; |
|
| 256 | + $h = $this->V[$k][$i + 1]; |
|
| 257 | + $this->V[$k][$i + 1] = $s * $this->V[$k][$i] + $c * $h; |
|
| 258 | 258 | $this->V[$k][$i] = $c * $this->V[$k][$i] - $s * $h; |
| 259 | 259 | } |
| 260 | 260 | } |
@@ -272,7 +272,7 @@ discard block |
||
| 272 | 272 | for ($i = 0; $i < $this->n - 1; ++$i) { |
| 273 | 273 | $k = $i; |
| 274 | 274 | $p = $this->d[$i]; |
| 275 | - for ($j = $i+1; $j < $this->n; ++$j) { |
|
| 275 | + for ($j = $i + 1; $j < $this->n; ++$j) { |
|
| 276 | 276 | if ($this->d[$j] < $p) { |
| 277 | 277 | $k = $j; |
| 278 | 278 | $p = $this->d[$j]; |
@@ -302,19 +302,19 @@ discard block |
||
| 302 | 302 | private function orthes() |
| 303 | 303 | { |
| 304 | 304 | $low = 0; |
| 305 | - $high = $this->n-1; |
|
| 305 | + $high = $this->n - 1; |
|
| 306 | 306 | |
| 307 | - for ($m = $low+1; $m <= $high-1; ++$m) { |
|
| 307 | + for ($m = $low + 1; $m <= $high - 1; ++$m) { |
|
| 308 | 308 | // Scale column. |
| 309 | 309 | $scale = 0.0; |
| 310 | 310 | for ($i = $m; $i <= $high; ++$i) { |
| 311 | - $scale = $scale + abs($this->H[$i][$m-1]); |
|
| 311 | + $scale = $scale + abs($this->H[$i][$m - 1]); |
|
| 312 | 312 | } |
| 313 | 313 | if ($scale != 0.0) { |
| 314 | 314 | // Compute Householder transformation. |
| 315 | 315 | $h = 0.0; |
| 316 | 316 | for ($i = $high; $i >= $m; --$i) { |
| 317 | - $this->ort[$i] = $this->H[$i][$m-1] / $scale; |
|
| 317 | + $this->ort[$i] = $this->H[$i][$m - 1] / $scale; |
|
| 318 | 318 | $h += $this->ort[$i] * $this->ort[$i]; |
| 319 | 319 | } |
| 320 | 320 | $g = sqrt($h); |
@@ -346,7 +346,7 @@ discard block |
||
| 346 | 346 | } |
| 347 | 347 | } |
| 348 | 348 | $this->ort[$m] = $scale * $this->ort[$m]; |
| 349 | - $this->H[$m][$m-1] = $scale * $g; |
|
| 349 | + $this->H[$m][$m - 1] = $scale * $g; |
|
| 350 | 350 | } |
| 351 | 351 | } |
| 352 | 352 | |
@@ -356,10 +356,10 @@ discard block |
||
| 356 | 356 | $this->V[$i][$j] = ($i == $j ? 1.0 : 0.0); |
| 357 | 357 | } |
| 358 | 358 | } |
| 359 | - for ($m = $high-1; $m >= $low+1; --$m) { |
|
| 360 | - if ($this->H[$m][$m-1] != 0.0) { |
|
| 361 | - for ($i = $m+1; $i <= $high; ++$i) { |
|
| 362 | - $this->ort[$i] = $this->H[$i][$m-1]; |
|
| 359 | + for ($m = $high - 1; $m >= $low + 1; --$m) { |
|
| 360 | + if ($this->H[$m][$m - 1] != 0.0) { |
|
| 361 | + for ($i = $m + 1; $i <= $high; ++$i) { |
|
| 362 | + $this->ort[$i] = $this->H[$i][$m - 1]; |
|
| 363 | 363 | } |
| 364 | 364 | for ($j = $m; $j <= $high; ++$j) { |
| 365 | 365 | $g = 0.0; |
@@ -367,7 +367,7 @@ discard block |
||
| 367 | 367 | $g += $this->ort[$i] * $this->V[$i][$j]; |
| 368 | 368 | } |
| 369 | 369 | // Double division avoids possible underflow |
| 370 | - $g = ($g / $this->ort[$m]) / $this->H[$m][$m-1]; |
|
| 370 | + $g = ($g / $this->ort[$m]) / $this->H[$m][$m - 1]; |
|
| 371 | 371 | for ($i = $m; $i <= $high; ++$i) { |
| 372 | 372 | $this->V[$i][$j] += $g * $this->ort[$i]; |
| 373 | 373 | } |
@@ -422,7 +422,7 @@ discard block |
||
| 422 | 422 | $this->d[$i] = $this->H[$i][$i]; |
| 423 | 423 | $this->e[$i] = 0.0; |
| 424 | 424 | } |
| 425 | - for ($j = max($i-1, 0); $j < $nn; ++$j) { |
|
| 425 | + for ($j = max($i - 1, 0); $j < $nn; ++$j) { |
|
| 426 | 426 | $norm = $norm + abs($this->H[$i][$j]); |
| 427 | 427 | } |
| 428 | 428 | } |
@@ -433,11 +433,11 @@ discard block |
||
| 433 | 433 | // Look for single small sub-diagonal element |
| 434 | 434 | $l = $n; |
| 435 | 435 | while ($l > $low) { |
| 436 | - $s = abs($this->H[$l-1][$l-1]) + abs($this->H[$l][$l]); |
|
| 436 | + $s = abs($this->H[$l - 1][$l - 1]) + abs($this->H[$l][$l]); |
|
| 437 | 437 | if ($s == 0.0) { |
| 438 | 438 | $s = $norm; |
| 439 | 439 | } |
| 440 | - if (abs($this->H[$l][$l-1]) < $eps * $s) { |
|
| 440 | + if (abs($this->H[$l][$l - 1]) < $eps * $s) { |
|
| 441 | 441 | break; |
| 442 | 442 | } |
| 443 | 443 | --$l; |
@@ -451,13 +451,13 @@ discard block |
||
| 451 | 451 | --$n; |
| 452 | 452 | $iter = 0; |
| 453 | 453 | // Two roots found |
| 454 | - } elseif ($l == $n-1) { |
|
| 455 | - $w = $this->H[$n][$n-1] * $this->H[$n-1][$n]; |
|
| 456 | - $p = ($this->H[$n-1][$n-1] - $this->H[$n][$n]) / 2.0; |
|
| 454 | + } elseif ($l == $n - 1) { |
|
| 455 | + $w = $this->H[$n][$n - 1] * $this->H[$n - 1][$n]; |
|
| 456 | + $p = ($this->H[$n - 1][$n - 1] - $this->H[$n][$n]) / 2.0; |
|
| 457 | 457 | $q = $p * $p + $w; |
| 458 | 458 | $z = sqrt(abs($q)); |
| 459 | 459 | $this->H[$n][$n] = $this->H[$n][$n] + $exshift; |
| 460 | - $this->H[$n-1][$n-1] = $this->H[$n-1][$n-1] + $exshift; |
|
| 460 | + $this->H[$n - 1][$n - 1] = $this->H[$n - 1][$n - 1] + $exshift; |
|
| 461 | 461 | $x = $this->H[$n][$n]; |
| 462 | 462 | // Real pair |
| 463 | 463 | if ($q >= 0) { |
@@ -466,14 +466,14 @@ discard block |
||
| 466 | 466 | } else { |
| 467 | 467 | $z = $p - $z; |
| 468 | 468 | } |
| 469 | - $this->d[$n-1] = $x + $z; |
|
| 470 | - $this->d[$n] = $this->d[$n-1]; |
|
| 469 | + $this->d[$n - 1] = $x + $z; |
|
| 470 | + $this->d[$n] = $this->d[$n - 1]; |
|
| 471 | 471 | if ($z != 0.0) { |
| 472 | 472 | $this->d[$n] = $x - $w / $z; |
| 473 | 473 | } |
| 474 | - $this->e[$n-1] = 0.0; |
|
| 474 | + $this->e[$n - 1] = 0.0; |
|
| 475 | 475 | $this->e[$n] = 0.0; |
| 476 | - $x = $this->H[$n][$n-1]; |
|
| 476 | + $x = $this->H[$n][$n - 1]; |
|
| 477 | 477 | $s = abs($x) + abs($z); |
| 478 | 478 | $p = $x / $s; |
| 479 | 479 | $q = $z / $s; |
@@ -481,28 +481,28 @@ discard block |
||
| 481 | 481 | $p = $p / $r; |
| 482 | 482 | $q = $q / $r; |
| 483 | 483 | // Row modification |
| 484 | - for ($j = $n-1; $j < $nn; ++$j) { |
|
| 485 | - $z = $this->H[$n-1][$j]; |
|
| 486 | - $this->H[$n-1][$j] = $q * $z + $p * $this->H[$n][$j]; |
|
| 484 | + for ($j = $n - 1; $j < $nn; ++$j) { |
|
| 485 | + $z = $this->H[$n - 1][$j]; |
|
| 486 | + $this->H[$n - 1][$j] = $q * $z + $p * $this->H[$n][$j]; |
|
| 487 | 487 | $this->H[$n][$j] = $q * $this->H[$n][$j] - $p * $z; |
| 488 | 488 | } |
| 489 | 489 | // Column modification |
| 490 | 490 | for ($i = 0; $i <= $n; ++$i) { |
| 491 | - $z = $this->H[$i][$n-1]; |
|
| 492 | - $this->H[$i][$n-1] = $q * $z + $p * $this->H[$i][$n]; |
|
| 491 | + $z = $this->H[$i][$n - 1]; |
|
| 492 | + $this->H[$i][$n - 1] = $q * $z + $p * $this->H[$i][$n]; |
|
| 493 | 493 | $this->H[$i][$n] = $q * $this->H[$i][$n] - $p * $z; |
| 494 | 494 | } |
| 495 | 495 | // Accumulate transformations |
| 496 | 496 | for ($i = $low; $i <= $high; ++$i) { |
| 497 | - $z = $this->V[$i][$n-1]; |
|
| 498 | - $this->V[$i][$n-1] = $q * $z + $p * $this->V[$i][$n]; |
|
| 497 | + $z = $this->V[$i][$n - 1]; |
|
| 498 | + $this->V[$i][$n - 1] = $q * $z + $p * $this->V[$i][$n]; |
|
| 499 | 499 | $this->V[$i][$n] = $q * $this->V[$i][$n] - $p * $z; |
| 500 | 500 | } |
| 501 | 501 | // Complex pair |
| 502 | 502 | } else { |
| 503 | - $this->d[$n-1] = $x + $p; |
|
| 503 | + $this->d[$n - 1] = $x + $p; |
|
| 504 | 504 | $this->d[$n] = $x + $p; |
| 505 | - $this->e[$n-1] = $z; |
|
| 505 | + $this->e[$n - 1] = $z; |
|
| 506 | 506 | $this->e[$n] = -$z; |
| 507 | 507 | } |
| 508 | 508 | $n = $n - 2; |
@@ -514,8 +514,8 @@ discard block |
||
| 514 | 514 | $y = 0.0; |
| 515 | 515 | $w = 0.0; |
| 516 | 516 | if ($l < $n) { |
| 517 | - $y = $this->H[$n-1][$n-1]; |
|
| 518 | - $w = $this->H[$n][$n-1] * $this->H[$n-1][$n]; |
|
| 517 | + $y = $this->H[$n - 1][$n - 1]; |
|
| 518 | + $w = $this->H[$n][$n - 1] * $this->H[$n - 1][$n]; |
|
| 519 | 519 | } |
| 520 | 520 | // Wilkinson's original ad hoc shift |
| 521 | 521 | if ($iter == 10) { |
@@ -523,7 +523,7 @@ discard block |
||
| 523 | 523 | for ($i = $low; $i <= $n; ++$i) { |
| 524 | 524 | $this->H[$i][$i] -= $x; |
| 525 | 525 | } |
| 526 | - $s = abs($this->H[$n][$n-1]) + abs($this->H[$n-1][$n-2]); |
|
| 526 | + $s = abs($this->H[$n][$n - 1]) + abs($this->H[$n - 1][$n - 2]); |
|
| 527 | 527 | $x = $y = 0.75 * $s; |
| 528 | 528 | $w = -0.4375 * $s * $s; |
| 529 | 529 | } |
@@ -552,9 +552,9 @@ discard block |
||
| 552 | 552 | $z = $this->H[$m][$m]; |
| 553 | 553 | $r = $x - $z; |
| 554 | 554 | $s = $y - $z; |
| 555 | - $p = ($r * $s - $w) / $this->H[$m+1][$m] + $this->H[$m][$m+1]; |
|
| 556 | - $q = $this->H[$m+1][$m+1] - $z - $r - $s; |
|
| 557 | - $r = $this->H[$m+2][$m+1]; |
|
| 555 | + $p = ($r * $s - $w) / $this->H[$m + 1][$m] + $this->H[$m][$m + 1]; |
|
| 556 | + $q = $this->H[$m + 1][$m + 1] - $z - $r - $s; |
|
| 557 | + $r = $this->H[$m + 2][$m + 1]; |
|
| 558 | 558 | $s = abs($p) + abs($q) + abs($r); |
| 559 | 559 | $p = $p / $s; |
| 560 | 560 | $q = $q / $s; |
@@ -562,25 +562,25 @@ discard block |
||
| 562 | 562 | if ($m == $l) { |
| 563 | 563 | break; |
| 564 | 564 | } |
| 565 | - if (abs($this->H[$m][$m-1]) * (abs($q) + abs($r)) < |
|
| 566 | - $eps * (abs($p) * (abs($this->H[$m-1][$m-1]) + abs($z) + abs($this->H[$m+1][$m+1])))) { |
|
| 565 | + if (abs($this->H[$m][$m - 1]) * (abs($q) + abs($r)) < |
|
| 566 | + $eps * (abs($p) * (abs($this->H[$m - 1][$m - 1]) + abs($z) + abs($this->H[$m + 1][$m + 1])))) { |
|
| 567 | 567 | break; |
| 568 | 568 | } |
| 569 | 569 | --$m; |
| 570 | 570 | } |
| 571 | 571 | for ($i = $m + 2; $i <= $n; ++$i) { |
| 572 | - $this->H[$i][$i-2] = 0.0; |
|
| 573 | - if ($i > $m+2) { |
|
| 574 | - $this->H[$i][$i-3] = 0.0; |
|
| 572 | + $this->H[$i][$i - 2] = 0.0; |
|
| 573 | + if ($i > $m + 2) { |
|
| 574 | + $this->H[$i][$i - 3] = 0.0; |
|
| 575 | 575 | } |
| 576 | 576 | } |
| 577 | 577 | // Double QR step involving rows l:n and columns m:n |
| 578 | - for ($k = $m; $k <= $n-1; ++$k) { |
|
| 579 | - $notlast = ($k != $n-1); |
|
| 578 | + for ($k = $m; $k <= $n - 1; ++$k) { |
|
| 579 | + $notlast = ($k != $n - 1); |
|
| 580 | 580 | if ($k != $m) { |
| 581 | - $p = $this->H[$k][$k-1]; |
|
| 582 | - $q = $this->H[$k+1][$k-1]; |
|
| 583 | - $r = ($notlast ? $this->H[$k+2][$k-1] : 0.0); |
|
| 581 | + $p = $this->H[$k][$k - 1]; |
|
| 582 | + $q = $this->H[$k + 1][$k - 1]; |
|
| 583 | + $r = ($notlast ? $this->H[$k + 2][$k - 1] : 0.0); |
|
| 584 | 584 | $x = abs($p) + abs($q) + abs($r); |
| 585 | 585 | if ($x != 0.0) { |
| 586 | 586 | $p = $p / $x; |
@@ -597,9 +597,9 @@ discard block |
||
| 597 | 597 | } |
| 598 | 598 | if ($s != 0) { |
| 599 | 599 | if ($k != $m) { |
| 600 | - $this->H[$k][$k-1] = -$s * $x; |
|
| 600 | + $this->H[$k][$k - 1] = -$s * $x; |
|
| 601 | 601 | } elseif ($l != $m) { |
| 602 | - $this->H[$k][$k-1] = -$this->H[$k][$k-1]; |
|
| 602 | + $this->H[$k][$k - 1] = -$this->H[$k][$k - 1]; |
|
| 603 | 603 | } |
| 604 | 604 | $p = $p + $s; |
| 605 | 605 | $x = $p / $s; |
@@ -609,33 +609,33 @@ discard block |
||
| 609 | 609 | $r = $r / $p; |
| 610 | 610 | // Row modification |
| 611 | 611 | for ($j = $k; $j < $nn; ++$j) { |
| 612 | - $p = $this->H[$k][$j] + $q * $this->H[$k+1][$j]; |
|
| 612 | + $p = $this->H[$k][$j] + $q * $this->H[$k + 1][$j]; |
|
| 613 | 613 | if ($notlast) { |
| 614 | - $p = $p + $r * $this->H[$k+2][$j]; |
|
| 615 | - $this->H[$k+2][$j] = $this->H[$k+2][$j] - $p * $z; |
|
| 614 | + $p = $p + $r * $this->H[$k + 2][$j]; |
|
| 615 | + $this->H[$k + 2][$j] = $this->H[$k + 2][$j] - $p * $z; |
|
| 616 | 616 | } |
| 617 | 617 | $this->H[$k][$j] = $this->H[$k][$j] - $p * $x; |
| 618 | - $this->H[$k+1][$j] = $this->H[$k+1][$j] - $p * $y; |
|
| 618 | + $this->H[$k + 1][$j] = $this->H[$k + 1][$j] - $p * $y; |
|
| 619 | 619 | } |
| 620 | 620 | // Column modification |
| 621 | - for ($i = 0; $i <= min($n, $k+3); ++$i) { |
|
| 622 | - $p = $x * $this->H[$i][$k] + $y * $this->H[$i][$k+1]; |
|
| 621 | + for ($i = 0; $i <= min($n, $k + 3); ++$i) { |
|
| 622 | + $p = $x * $this->H[$i][$k] + $y * $this->H[$i][$k + 1]; |
|
| 623 | 623 | if ($notlast) { |
| 624 | - $p = $p + $z * $this->H[$i][$k+2]; |
|
| 625 | - $this->H[$i][$k+2] = $this->H[$i][$k+2] - $p * $r; |
|
| 624 | + $p = $p + $z * $this->H[$i][$k + 2]; |
|
| 625 | + $this->H[$i][$k + 2] = $this->H[$i][$k + 2] - $p * $r; |
|
| 626 | 626 | } |
| 627 | 627 | $this->H[$i][$k] = $this->H[$i][$k] - $p; |
| 628 | - $this->H[$i][$k+1] = $this->H[$i][$k+1] - $p * $q; |
|
| 628 | + $this->H[$i][$k + 1] = $this->H[$i][$k + 1] - $p * $q; |
|
| 629 | 629 | } |
| 630 | 630 | // Accumulate transformations |
| 631 | 631 | for ($i = $low; $i <= $high; ++$i) { |
| 632 | - $p = $x * $this->V[$i][$k] + $y * $this->V[$i][$k+1]; |
|
| 632 | + $p = $x * $this->V[$i][$k] + $y * $this->V[$i][$k + 1]; |
|
| 633 | 633 | if ($notlast) { |
| 634 | - $p = $p + $z * $this->V[$i][$k+2]; |
|
| 635 | - $this->V[$i][$k+2] = $this->V[$i][$k+2] - $p * $r; |
|
| 634 | + $p = $p + $z * $this->V[$i][$k + 2]; |
|
| 635 | + $this->V[$i][$k + 2] = $this->V[$i][$k + 2] - $p * $r; |
|
| 636 | 636 | } |
| 637 | 637 | $this->V[$i][$k] = $this->V[$i][$k] - $p; |
| 638 | - $this->V[$i][$k+1] = $this->V[$i][$k+1] - $p * $q; |
|
| 638 | + $this->V[$i][$k + 1] = $this->V[$i][$k + 1] - $p * $q; |
|
| 639 | 639 | } |
| 640 | 640 | } // ($s != 0) |
| 641 | 641 | } // k loop |
@@ -647,14 +647,14 @@ discard block |
||
| 647 | 647 | return; |
| 648 | 648 | } |
| 649 | 649 | |
| 650 | - for ($n = $nn-1; $n >= 0; --$n) { |
|
| 650 | + for ($n = $nn - 1; $n >= 0; --$n) { |
|
| 651 | 651 | $p = $this->d[$n]; |
| 652 | 652 | $q = $this->e[$n]; |
| 653 | 653 | // Real vector |
| 654 | 654 | if ($q == 0) { |
| 655 | 655 | $l = $n; |
| 656 | 656 | $this->H[$n][$n] = 1.0; |
| 657 | - for ($i = $n-1; $i >= 0; --$i) { |
|
| 657 | + for ($i = $n - 1; $i >= 0; --$i) { |
|
| 658 | 658 | $w = $this->H[$i][$i] - $p; |
| 659 | 659 | $r = 0.0; |
| 660 | 660 | for ($j = $l; $j <= $n; ++$j) { |
@@ -673,15 +673,15 @@ discard block |
||
| 673 | 673 | } |
| 674 | 674 | // Solve real equations |
| 675 | 675 | } else { |
| 676 | - $x = $this->H[$i][$i+1]; |
|
| 677 | - $y = $this->H[$i+1][$i]; |
|
| 676 | + $x = $this->H[$i][$i + 1]; |
|
| 677 | + $y = $this->H[$i + 1][$i]; |
|
| 678 | 678 | $q = ($this->d[$i] - $p) * ($this->d[$i] - $p) + $this->e[$i] * $this->e[$i]; |
| 679 | 679 | $t = ($x * $s - $z * $r) / $q; |
| 680 | 680 | $this->H[$i][$n] = $t; |
| 681 | 681 | if (abs($x) > abs($z)) { |
| 682 | - $this->H[$i+1][$n] = (-$r - $w * $t) / $x; |
|
| 682 | + $this->H[$i + 1][$n] = (-$r - $w * $t) / $x; |
|
| 683 | 683 | } else { |
| 684 | - $this->H[$i+1][$n] = (-$s - $y * $t) / $z; |
|
| 684 | + $this->H[$i + 1][$n] = (-$s - $y * $t) / $z; |
|
| 685 | 685 | } |
| 686 | 686 | } |
| 687 | 687 | // Overflow control |
@@ -695,24 +695,24 @@ discard block |
||
| 695 | 695 | } |
| 696 | 696 | // Complex vector |
| 697 | 697 | } elseif ($q < 0) { |
| 698 | - $l = $n-1; |
|
| 698 | + $l = $n - 1; |
|
| 699 | 699 | // Last vector component imaginary so matrix is triangular |
| 700 | - if (abs($this->H[$n][$n-1]) > abs($this->H[$n-1][$n])) { |
|
| 701 | - $this->H[$n-1][$n-1] = $q / $this->H[$n][$n-1]; |
|
| 702 | - $this->H[$n-1][$n] = -($this->H[$n][$n] - $p) / $this->H[$n][$n-1]; |
|
| 700 | + if (abs($this->H[$n][$n - 1]) > abs($this->H[$n - 1][$n])) { |
|
| 701 | + $this->H[$n - 1][$n - 1] = $q / $this->H[$n][$n - 1]; |
|
| 702 | + $this->H[$n - 1][$n] = -($this->H[$n][$n] - $p) / $this->H[$n][$n - 1]; |
|
| 703 | 703 | } else { |
| 704 | - $this->cdiv(0.0, -$this->H[$n-1][$n], $this->H[$n-1][$n-1] - $p, $q); |
|
| 705 | - $this->H[$n-1][$n-1] = $this->cdivr; |
|
| 706 | - $this->H[$n-1][$n] = $this->cdivi; |
|
| 704 | + $this->cdiv(0.0, -$this->H[$n - 1][$n], $this->H[$n - 1][$n - 1] - $p, $q); |
|
| 705 | + $this->H[$n - 1][$n - 1] = $this->cdivr; |
|
| 706 | + $this->H[$n - 1][$n] = $this->cdivi; |
|
| 707 | 707 | } |
| 708 | - $this->H[$n][$n-1] = 0.0; |
|
| 708 | + $this->H[$n][$n - 1] = 0.0; |
|
| 709 | 709 | $this->H[$n][$n] = 1.0; |
| 710 | - for ($i = $n-2; $i >= 0; --$i) { |
|
| 710 | + for ($i = $n - 2; $i >= 0; --$i) { |
|
| 711 | 711 | // double ra,sa,vr,vi; |
| 712 | 712 | $ra = 0.0; |
| 713 | 713 | $sa = 0.0; |
| 714 | 714 | for ($j = $l; $j <= $n; ++$j) { |
| 715 | - $ra = $ra + $this->H[$i][$j] * $this->H[$j][$n-1]; |
|
| 715 | + $ra = $ra + $this->H[$i][$j] * $this->H[$j][$n - 1]; |
|
| 716 | 716 | $sa = $sa + $this->H[$i][$j] * $this->H[$j][$n]; |
| 717 | 717 | } |
| 718 | 718 | $w = $this->H[$i][$i] - $p; |
@@ -724,34 +724,34 @@ discard block |
||
| 724 | 724 | $l = $i; |
| 725 | 725 | if ($this->e[$i] == 0) { |
| 726 | 726 | $this->cdiv(-$ra, -$sa, $w, $q); |
| 727 | - $this->H[$i][$n-1] = $this->cdivr; |
|
| 727 | + $this->H[$i][$n - 1] = $this->cdivr; |
|
| 728 | 728 | $this->H[$i][$n] = $this->cdivi; |
| 729 | 729 | } else { |
| 730 | 730 | // Solve complex equations |
| 731 | - $x = $this->H[$i][$i+1]; |
|
| 732 | - $y = $this->H[$i+1][$i]; |
|
| 731 | + $x = $this->H[$i][$i + 1]; |
|
| 732 | + $y = $this->H[$i + 1][$i]; |
|
| 733 | 733 | $vr = ($this->d[$i] - $p) * ($this->d[$i] - $p) + $this->e[$i] * $this->e[$i] - $q * $q; |
| 734 | 734 | $vi = ($this->d[$i] - $p) * 2.0 * $q; |
| 735 | 735 | if ($vr == 0.0 & $vi == 0.0) { |
| 736 | 736 | $vr = $eps * $norm * (abs($w) + abs($q) + abs($x) + abs($y) + abs($z)); |
| 737 | 737 | } |
| 738 | 738 | $this->cdiv($x * $r - $z * $ra + $q * $sa, $x * $s - $z * $sa - $q * $ra, $vr, $vi); |
| 739 | - $this->H[$i][$n-1] = $this->cdivr; |
|
| 739 | + $this->H[$i][$n - 1] = $this->cdivr; |
|
| 740 | 740 | $this->H[$i][$n] = $this->cdivi; |
| 741 | 741 | if (abs($x) > (abs($z) + abs($q))) { |
| 742 | - $this->H[$i+1][$n-1] = (-$ra - $w * $this->H[$i][$n-1] + $q * $this->H[$i][$n]) / $x; |
|
| 743 | - $this->H[$i+1][$n] = (-$sa - $w * $this->H[$i][$n] - $q * $this->H[$i][$n-1]) / $x; |
|
| 742 | + $this->H[$i + 1][$n - 1] = (-$ra - $w * $this->H[$i][$n - 1] + $q * $this->H[$i][$n]) / $x; |
|
| 743 | + $this->H[$i + 1][$n] = (-$sa - $w * $this->H[$i][$n] - $q * $this->H[$i][$n - 1]) / $x; |
|
| 744 | 744 | } else { |
| 745 | - $this->cdiv(-$r - $y * $this->H[$i][$n-1], -$s - $y * $this->H[$i][$n], $z, $q); |
|
| 746 | - $this->H[$i+1][$n-1] = $this->cdivr; |
|
| 747 | - $this->H[$i+1][$n] = $this->cdivi; |
|
| 745 | + $this->cdiv(-$r - $y * $this->H[$i][$n - 1], -$s - $y * $this->H[$i][$n], $z, $q); |
|
| 746 | + $this->H[$i + 1][$n - 1] = $this->cdivr; |
|
| 747 | + $this->H[$i + 1][$n] = $this->cdivi; |
|
| 748 | 748 | } |
| 749 | 749 | } |
| 750 | 750 | // Overflow control |
| 751 | - $t = max(abs($this->H[$i][$n-1]), abs($this->H[$i][$n])); |
|
| 751 | + $t = max(abs($this->H[$i][$n - 1]), abs($this->H[$i][$n])); |
|
| 752 | 752 | if (($eps * $t) * $t > 1) { |
| 753 | 753 | for ($j = $i; $j <= $n; ++$j) { |
| 754 | - $this->H[$j][$n-1] = $this->H[$j][$n-1] / $t; |
|
| 754 | + $this->H[$j][$n - 1] = $this->H[$j][$n - 1] / $t; |
|
| 755 | 755 | $this->H[$j][$n] = $this->H[$j][$n] / $t; |
| 756 | 756 | } |
| 757 | 757 | } |
@@ -770,7 +770,7 @@ discard block |
||
| 770 | 770 | } |
| 771 | 771 | |
| 772 | 772 | // Back transformation to get eigenvectors of original matrix |
| 773 | - for ($j = $nn-1; $j >= $low; --$j) { |
|
| 773 | + for ($j = $nn - 1; $j >= $low; --$j) { |
|
| 774 | 774 | for ($i = $low; $i <= $high; ++$i) { |
| 775 | 775 | $z = 0.0; |
| 776 | 776 | for ($k = $low; $k <= min($j, $high); ++$k) { |
@@ -827,13 +827,13 @@ discard block |
||
| 827 | 827 | |
| 828 | 828 | // Always return the eigenvectors of length 1.0 |
| 829 | 829 | $vectors = new Matrix($vectors); |
| 830 | - $vectors = array_map(function ($vect) { |
|
| 830 | + $vectors = array_map(function($vect) { |
|
| 831 | 831 | $sum = 0; |
| 832 | - for ($i=0; $i<count($vect); $i++) { |
|
| 832 | + for ($i = 0; $i < count($vect); $i++) { |
|
| 833 | 833 | $sum += $vect[$i] ** 2; |
| 834 | 834 | } |
| 835 | 835 | $sum = sqrt($sum); |
| 836 | - for ($i=0; $i<count($vect); $i++) { |
|
| 836 | + for ($i = 0; $i < count($vect); $i++) { |
|
| 837 | 837 | $vect[$i] /= $sum; |
| 838 | 838 | } |
| 839 | 839 | return $vect; |