MathPHP\NumericalAnalysis\Interpolation\NewtonPolynomialForwardTest::testSolve PHP Метод

testSolve() публичный Метод

public testSolve ( )
    public function testSolve()
    {
        // f(x) = x⁴ + 8x³ -13x² -92x + 96
        $f = function ($x) {
            return $x ** 4 + 8 * $x ** 3 - 13 * $x ** 2 - 92 * $x + 96;
        };
        // Given n points, the error in the Newton Polynomials is proportional
        // to the max value of the nth derivative. Thus, if we if interpolate n at
        // 6 points, the 5th derivative of our original function f(x) = 0, and so
        // our resulting polynomial will have no error.
        $a = 0;
        $b = 10;
        $n = 5;
        $p = NewtonPolynomialForward::interpolate($f, $a, $b, $n);
        // Check that p(x) agrees with f(x) at x = 0
        $expected = $f(0);
        $actual = $p(0);
        $this->assertEquals($expected, $actual);
        // Check that p(x) agrees with f(x) at x = 2
        $expected = $f(2);
        $actual = $p(2);
        $this->assertEquals($expected, $actual);
        // Check that p(x) agrees with f(x) at x = 4
        $expected = $f(4);
        $actual = $p(4);
        $this->assertEquals($expected, $actual);
        // Check that p(x) agrees with f(x) at x = 6
        $expected = $f(6);
        $actual = $p(6);
        $this->assertEquals($expected, $actual);
        // Check that p(x) agrees with f(x) at x = 8
        $expected = $f(8);
        $actual = $p(8);
        $this->assertEquals($expected, $actual);
        // Check that p(x) agrees with f(x) at x = 10
        $expected = $f(10);
        $actual = $p(10);
        $this->assertEquals($expected, $actual);
        // Check that p(x) agrees with f(x) at x = -99
        $expected = $f(-99);
        $actual = $p(-99);
        $this->assertEquals($expected, $actual);
    }