Quadratic roots, medium range

Average Error: 43.9 → 2.8

Time: 2.0min

Precision: binary64

Cost: 38016

\[\left(\left(1.1102230246251565 \cdot 10^{-16} < a \land a < 9007199254740992\right) \land \left(1.1102230246251565 \cdot 10^{-16} < b \land b < 9007199254740992\right)\right) \land \left(1.1102230246251565 \cdot 10^{-16} < c \land c < 9007199254740992\right)\]

Math

\[\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \]

↓

\[\begin{array}{l} t_0 := -2 \cdot \left(c \cdot a\right)\\ t_1 := \left(t_0 \cdot a\right) \cdot c\\ t_2 := \left(t_0 \cdot -0.5\right) \cdot \left(2 \cdot \left(c \cdot a\right)\right)\\ t_3 := {t_0}^{2}\\ -1 \cdot \frac{c}{b} + \left(-0.25 \cdot \frac{{\left(\frac{1}{b}\right)}^{7} \cdot \left(4 \cdot \left(t_1 \cdot t_1\right) + t_2 \cdot t_2\right)}{a} + \left(-0.5 \cdot \left(c \cdot \left({\left(\frac{1}{b}\right)}^{5} \cdot t_3\right)\right) + -0.25 \cdot \frac{{b}^{-3} \cdot t_3}{a}\right)\right) \end{array} \]

FPCore

(FPCore (a b c)
 :precision binary64
 (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))

↓

(FPCore (a b c)
 :precision binary64
 (let* ((t_0 (* -2.0 (* c a)))
        (t_1 (* (* t_0 a) c))
        (t_2 (* (* t_0 -0.5) (* 2.0 (* c a))))
        (t_3 (pow t_0 2.0)))
   (+
    (* -1.0 (/ c b))
    (+
     (*
      -0.25
      (/ (* (pow (/ 1.0 b) 7.0) (+ (* 4.0 (* t_1 t_1)) (* t_2 t_2))) a))
     (+
      (* -0.5 (* c (* (pow (/ 1.0 b) 5.0) t_3)))
      (* -0.25 (/ (* (pow b -3.0) t_3) a)))))))

C

double code(double a, double b, double c) {
	return (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}

↓

double code(double a, double b, double c) {
	double t_0 = -2.0 * (c * a);
	double t_1 = (t_0 * a) * c;
	double t_2 = (t_0 * -0.5) * (2.0 * (c * a));
	double t_3 = pow(t_0, 2.0);
	return (-1.0 * (c / b)) + ((-0.25 * ((pow((1.0 / b), 7.0) * ((4.0 * (t_1 * t_1)) + (t_2 * t_2))) / a)) + ((-0.5 * (c * (pow((1.0 / b), 5.0) * t_3))) + (-0.25 * ((pow(b, -3.0) * t_3) / a))));
}

Fortran

real(8) function code(a, b, c)
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    real(8), intent (in) :: c
    code = (-b + sqrt(((b * b) - ((4.0d0 * a) * c)))) / (2.0d0 * a)
end function

↓

real(8) function code(a, b, c)
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    real(8), intent (in) :: c
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: t_3
    t_0 = (-2.0d0) * (c * a)
    t_1 = (t_0 * a) * c
    t_2 = (t_0 * (-0.5d0)) * (2.0d0 * (c * a))
    t_3 = t_0 ** 2.0d0
    code = ((-1.0d0) * (c / b)) + (((-0.25d0) * ((((1.0d0 / b) ** 7.0d0) * ((4.0d0 * (t_1 * t_1)) + (t_2 * t_2))) / a)) + (((-0.5d0) * (c * (((1.0d0 / b) ** 5.0d0) * t_3))) + ((-0.25d0) * (((b ** (-3.0d0)) * t_3) / a))))
end function

Java

public static double code(double a, double b, double c) {
	return (-b + Math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}

↓

public static double code(double a, double b, double c) {
	double t_0 = -2.0 * (c * a);
	double t_1 = (t_0 * a) * c;
	double t_2 = (t_0 * -0.5) * (2.0 * (c * a));
	double t_3 = Math.pow(t_0, 2.0);
	return (-1.0 * (c / b)) + ((-0.25 * ((Math.pow((1.0 / b), 7.0) * ((4.0 * (t_1 * t_1)) + (t_2 * t_2))) / a)) + ((-0.5 * (c * (Math.pow((1.0 / b), 5.0) * t_3))) + (-0.25 * ((Math.pow(b, -3.0) * t_3) / a))));
}

Python

def code(a, b, c):
	return (-b + math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)

↓

def code(a, b, c):
	t_0 = -2.0 * (c * a)
	t_1 = (t_0 * a) * c
	t_2 = (t_0 * -0.5) * (2.0 * (c * a))
	t_3 = math.pow(t_0, 2.0)
	return (-1.0 * (c / b)) + ((-0.25 * ((math.pow((1.0 / b), 7.0) * ((4.0 * (t_1 * t_1)) + (t_2 * t_2))) / a)) + ((-0.5 * (c * (math.pow((1.0 / b), 5.0) * t_3))) + (-0.25 * ((math.pow(b, -3.0) * t_3) / a))))

Julia

function code(a, b, c)
	return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a))
end

↓

function code(a, b, c)
	t_0 = Float64(-2.0 * Float64(c * a))
	t_1 = Float64(Float64(t_0 * a) * c)
	t_2 = Float64(Float64(t_0 * -0.5) * Float64(2.0 * Float64(c * a)))
	t_3 = t_0 ^ 2.0
	return Float64(Float64(-1.0 * Float64(c / b)) + Float64(Float64(-0.25 * Float64(Float64((Float64(1.0 / b) ^ 7.0) * Float64(Float64(4.0 * Float64(t_1 * t_1)) + Float64(t_2 * t_2))) / a)) + Float64(Float64(-0.5 * Float64(c * Float64((Float64(1.0 / b) ^ 5.0) * t_3))) + Float64(-0.25 * Float64(Float64((b ^ -3.0) * t_3) / a)))))
end

MATLAB

function tmp = code(a, b, c)
	tmp = (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
end

↓

function tmp = code(a, b, c)
	t_0 = -2.0 * (c * a);
	t_1 = (t_0 * a) * c;
	t_2 = (t_0 * -0.5) * (2.0 * (c * a));
	t_3 = t_0 ^ 2.0;
	tmp = (-1.0 * (c / b)) + ((-0.25 * ((((1.0 / b) ^ 7.0) * ((4.0 * (t_1 * t_1)) + (t_2 * t_2))) / a)) + ((-0.5 * (c * (((1.0 / b) ^ 5.0) * t_3))) + (-0.25 * (((b ^ -3.0) * t_3) / a))));
end

Wolfram

code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(4.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]

↓

code[a_, b_, c_] := Block[{t$95$0 = N[(-2.0 * N[(c * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * a), $MachinePrecision] * c), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$0 * -0.5), $MachinePrecision] * N[(2.0 * N[(c * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[t$95$0, 2.0], $MachinePrecision]}, N[(N[(-1.0 * N[(c / b), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.25 * N[(N[(N[Power[N[(1.0 / b), $MachinePrecision], 7.0], $MachinePrecision] * N[(N[(4.0 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.5 * N[(c * N[(N[Power[N[(1.0 / b), $MachinePrecision], 5.0], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.25 * N[(N[(N[Power[b, -3.0], $MachinePrecision] * t$95$3), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]

Derivation

1. Initial program 43.9

   \[\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \]

2. Taylor expanded in b around inf 2.8

   \[\leadsto \color{blue}{-1 \cdot \frac{c}{b} + \left(-0.25 \cdot \frac{{\left(\frac{1}{b}\right)}^{7} \cdot \left(4 \cdot \left({\left(-2 \cdot \left(c \cdot a\right)\right)}^{2} \cdot \left({a}^{2} \cdot {c}^{2}\right)\right) + {\left(-0.5 \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}\right)}^{2}\right)}{a} + \left(-0.5 \cdot \left(c \cdot \left({\left(\frac{1}{b}\right)}^{5} \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}\right)\right) + -0.25 \cdot \frac{{\left(\frac{1}{b}\right)}^{3} \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}}{a}\right)\right)} \]

3. Applied egg-rr 2.8

   \[\leadsto -1 \cdot \frac{c}{b} + \left(-0.25 \cdot \frac{{\left(\frac{1}{b}\right)}^{7} \cdot \left(4 \cdot \color{blue}{\left(\left(\left(\left(-2 \cdot \left(c \cdot a\right)\right) \cdot a\right) \cdot c\right) \cdot \left(\left(\left(-2 \cdot \left(c \cdot a\right)\right) \cdot a\right) \cdot c\right)\right)} + {\left(-0.5 \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}\right)}^{2}\right)}{a} + \left(-0.5 \cdot \left(c \cdot \left({\left(\frac{1}{b}\right)}^{5} \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}\right)\right) + -0.25 \cdot \frac{{\left(\frac{1}{b}\right)}^{3} \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}}{a}\right)\right) \]

4. Taylor expanded in b around 0 2.8

   \[\leadsto -1 \cdot \frac{c}{b} + \left(-0.25 \cdot \frac{{\left(\frac{1}{b}\right)}^{7} \cdot \left(4 \cdot \left(\left(\left(\left(-2 \cdot \left(c \cdot a\right)\right) \cdot a\right) \cdot c\right) \cdot \left(\left(\left(-2 \cdot \left(c \cdot a\right)\right) \cdot a\right) \cdot c\right)\right) + {\left(-0.5 \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}\right)}^{2}\right)}{a} + \left(-0.5 \cdot \left(c \cdot \left({\left(\frac{1}{b}\right)}^{5} \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}\right)\right) + -0.25 \cdot \frac{\color{blue}{{b}^{-3}} \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}}{a}\right)\right) \]

5. Applied egg-rr 2.8

   \[\leadsto -1 \cdot \frac{c}{b} + \left(-0.25 \cdot \frac{{\left(\frac{1}{b}\right)}^{7} \cdot \left(4 \cdot \left(\left(\left(\left(-2 \cdot \left(c \cdot a\right)\right) \cdot a\right) \cdot c\right) \cdot \left(\left(\left(-2 \cdot \left(c \cdot a\right)\right) \cdot a\right) \cdot c\right)\right) + \color{blue}{\left(\left(\left(-2 \cdot \left(c \cdot a\right)\right) \cdot -0.5\right) \cdot \left(2 \cdot \left(c \cdot a\right)\right)\right) \cdot \left(\left(\left(-2 \cdot \left(c \cdot a\right)\right) \cdot -0.5\right) \cdot \left(2 \cdot \left(c \cdot a\right)\right)\right)}\right)}{a} + \left(-0.5 \cdot \left(c \cdot \left({\left(\frac{1}{b}\right)}^{5} \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}\right)\right) + -0.25 \cdot \frac{{b}^{-3} \cdot {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}}{a}\right)\right) \]

Alternatives

Alternative 1
Error	3.7
Cost	27968

\[\begin{array}{l} t_0 := {\left(-2 \cdot \left(c \cdot a\right)\right)}^{2}\\ -1 \cdot \frac{c}{b} + \left(-0.5 \cdot \left(c \cdot \left({\left(\frac{1}{b}\right)}^{5} \cdot t_0\right)\right) + -0.25 \cdot \frac{{\left(\frac{1}{b}\right)}^{3} \cdot t_0}{a}\right) \end{array} \]

Alternative 2
Error	5.8
Cost	19968

\[-\frac{\frac{a \cdot {c}^{2}}{{b}^{2}} + c}{\left|b\right|} \]

Alternative 3
Error	10.1
Cost	14916

\[\begin{array}{l} t_0 := \frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}\\ \mathbf{if}\;t_0 \leq -0.0005:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;\frac{-c}{b}\\ \end{array} \]

Alternative 4
Error	5.8
Cost	13568

\[\frac{-c}{b} - \frac{a \cdot {c}^{2}}{{b}^{3}} \]

Alternative 5
Error	6.0
Cost	7936

\[\frac{-0.5 \cdot \frac{{\left(\frac{\left(a \cdot 2\right) \cdot c}{b}\right)}^{2}}{b} + -2 \cdot \frac{c \cdot a}{b}}{2 \cdot a} \]

Alternative 6
Error	11.9
Cost	256

\[\frac{-c}{b} \]

Reproduce

herbie shell --seed 2023033 
(FPCore (a b c)
  :name "Quadratic roots, medium range"
  :precision binary64
  :pre (and (and (and (< 1.1102230246251565e-16 a) (< a 9007199254740992.0)) (and (< 1.1102230246251565e-16 b) (< b 9007199254740992.0))) (and (< 1.1102230246251565e-16 c) (< c 9007199254740992.0)))
  (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))