?

Average Error: 0.0 → 0.0
Time: 5.5s
Precision: binary64
Cost: 448

?

\[\frac{x - y}{z - y} \]
\[\frac{x - y}{z - y} \]
(FPCore (x y z) :precision binary64 (/ (- x y) (- z y)))
(FPCore (x y z) :precision binary64 (/ (- x y) (- z y)))
double code(double x, double y, double z) {
	return (x - y) / (z - y);
}
double code(double x, double y, double z) {
	return (x - y) / (z - y);
}
real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = (x - y) / (z - y)
end function
real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = (x - y) / (z - y)
end function
public static double code(double x, double y, double z) {
	return (x - y) / (z - y);
}
public static double code(double x, double y, double z) {
	return (x - y) / (z - y);
}
def code(x, y, z):
	return (x - y) / (z - y)
def code(x, y, z):
	return (x - y) / (z - y)
function code(x, y, z)
	return Float64(Float64(x - y) / Float64(z - y))
end
function code(x, y, z)
	return Float64(Float64(x - y) / Float64(z - y))
end
function tmp = code(x, y, z)
	tmp = (x - y) / (z - y);
end
function tmp = code(x, y, z)
	tmp = (x - y) / (z - y);
end
code[x_, y_, z_] := N[(N[(x - y), $MachinePrecision] / N[(z - y), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := N[(N[(x - y), $MachinePrecision] / N[(z - y), $MachinePrecision]), $MachinePrecision]
\frac{x - y}{z - y}
\frac{x - y}{z - y}

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.0
Target0.0
Herbie0.0
\[\frac{x}{z - y} - \frac{y}{z - y} \]

Derivation?

  1. Initial program 0.0

    \[\frac{x - y}{z - y} \]
  2. Final simplification0.0

    \[\leadsto \frac{x - y}{z - y} \]

Alternatives

Alternative 1
Error15.9
Cost849
\[\begin{array}{l} \mathbf{if}\;y \leq -1.7 \cdot 10^{+34}:\\ \;\;\;\;1 - \frac{x}{y}\\ \mathbf{elif}\;y \leq -7000000000:\\ \;\;\;\;\frac{x - y}{z}\\ \mathbf{elif}\;y \leq -190 \lor \neg \left(y \leq 2.2 \cdot 10^{-38}\right):\\ \;\;\;\;\frac{y}{y - z}\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{z - y}\\ \end{array} \]
Alternative 2
Error18.9
Cost585
\[\begin{array}{l} \mathbf{if}\;y \leq -1.95 \cdot 10^{-36} \lor \neg \left(y \leq 1.22 \cdot 10^{-31}\right):\\ \;\;\;\;1 - \frac{x}{y}\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{z}\\ \end{array} \]
Alternative 3
Error15.5
Cost585
\[\begin{array}{l} \mathbf{if}\;y \leq -5.8 \cdot 10^{+29} \lor \neg \left(y \leq 6.8 \cdot 10^{-18}\right):\\ \;\;\;\;1 - \frac{x}{y}\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{z - y}\\ \end{array} \]
Alternative 4
Error15.8
Cost585
\[\begin{array}{l} \mathbf{if}\;y \leq -76000 \lor \neg \left(y \leq 4.5 \cdot 10^{-39}\right):\\ \;\;\;\;\frac{y}{y - z}\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{z - y}\\ \end{array} \]
Alternative 5
Error25.5
Cost456
\[\begin{array}{l} \mathbf{if}\;y \leq -4.4 \cdot 10^{+43}:\\ \;\;\;\;1\\ \mathbf{elif}\;y \leq 2.6 \cdot 10^{-14}:\\ \;\;\;\;\frac{x}{z}\\ \mathbf{else}:\\ \;\;\;\;1\\ \end{array} \]
Alternative 6
Error41.2
Cost64
\[1 \]

Error

Reproduce?

herbie shell --seed 2023039 
(FPCore (x y z)
  :name "Graphics.Rasterific.Shading:$sgradientColorAt from Rasterific-0.6.1"
  :precision binary64

  :herbie-target
  (- (/ x (- z y)) (/ y (- z y)))

  (/ (- x y) (- z y)))