Home >Backend Development >PHP Tutorial >Numerical analysis (php implementation) 1: Lagrange interpolation_PHP tutorial
I am learning numerical analysis and try to implement it with php. Friends who are interested can stick it down and try it
Lagrange interpolation is an interpolation process that gives n known points, fits them with a polynomial function, finds the fitted function, and then estimates the function value of the unknown point
The interpolation function is f(x) = xigma (summation) lk*yk
This class implements the function of displaying function images after interpolation
/*
* Lagrange interpolation
* @wangbin
* */
class Lagrange{
private $dot = array();
Public function __construct($array){
$this->dot = $array;
}
/*
* Calculate lk
* */
private function get_lk($x,$k){
$num = count($this->dot['x']);
$omiga_xk = 1;
$omiga_x = 1;
for($i = 0;$i < $num;$i++){
If($i != $k){
$omiga_xk *= ($this->dot['x'][$k]-$this->dot['x'][$i]);
$omiga_x *= ($x - $this->dot['x'][$i]);
}
}
$lk = $omiga_x/$omiga_xk;
return $lk;
}
public function get_y($x){
$num = count($this->dot['x']);
$L = 0;
for($k = 0;$k < $num;$k++){
$lk = $this->get_lk($x,$k);
$L += ($this->dot['y'][$k]*$lk);
}
return $L;
}
Public function draw(){
$img = imagecreate(500,500);
Imagecolorallocate($img,255,255,2);
$num = count($this->dot['x']);
$max = 0;
for($i = 0;$i < $num;$i++) $max = $max < $this->dot['x'][$i] ? $this->dot['x' ][$i]:$max;
$r = 7;//Radius of point
$step = 0.1;//Step size
for($i = 0;$i < $num;$i++){
imagefilledellipse($img,$this->dot['x'][$i],$this->dot['y'][$i],$r,$r,1);
}
for($i = $this->dot['x'][0]-10;$i < $max + 10;$i += $step){
$current_x = $i;
$current_y = $this->get_y($current_x);
$next_x = $i + $step;
$next_y = $this->get_y($next_x);
imageline($img,$current_x,$current_y,$next_x,$next_y,1);
}
header("Content-type: image/png");
imagepng($img);
imagedestroy($img);
}
}
$x = new Lagrange(array('x'=>array(10,30,100,120,220),'y'=>array(20,40,240,220,340)));
$x->draw();
?>
Excerpted from pcenshao