?

Average Error: 9.86% → 0.15%
Time: 6.5s
Precision: binary64
Cost: 448

?

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

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original9.86%
Target0.15%
Herbie0.15%
\[x + y \cdot \frac{y}{z} \]

Derivation?

  1. Initial program 9.86

    \[x + \frac{y \cdot y}{z} \]
  2. Simplified0.15

    \[\leadsto \color{blue}{x + \frac{y}{z} \cdot y} \]
    Proof

    [Start]9.86

    \[ x + \frac{y \cdot y}{z} \]

    associate-*l/ [<=]0.15

    \[ x + \color{blue}{\frac{y}{z} \cdot y} \]
  3. Final simplification0.15

    \[\leadsto x + y \cdot \frac{y}{z} \]

Alternatives

Alternative 1
Error33.07%
Cost64
\[x \]

Error

Reproduce?

herbie shell --seed 2023088 
(FPCore (x y z)
  :name "Crypto.Random.Test:calculate from crypto-random-0.0.9"
  :precision binary64

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

  (+ x (/ (* y y) z)))