Average Error: 37.5 → 0.0
Time: 2.9s
Precision: binary64
\[\sqrt{\left(x \cdot x + y \cdot y\right) + z \cdot z} \]
\[\mathsf{hypot}\left(x, \mathsf{hypot}\left(y, z\right)\right) \]
(FPCore (x y z) :precision binary64 (sqrt (+ (+ (* x x) (* y y)) (* z z))))
(FPCore (x y z) :precision binary64 (hypot x (hypot y z)))
double code(double x, double y, double z) {
	return sqrt((((x * x) + (y * y)) + (z * z)));
}
double code(double x, double y, double z) {
	return hypot(x, hypot(y, z));
}
public static double code(double x, double y, double z) {
	return Math.sqrt((((x * x) + (y * y)) + (z * z)));
}
public static double code(double x, double y, double z) {
	return Math.hypot(x, Math.hypot(y, z));
}
def code(x, y, z):
	return math.sqrt((((x * x) + (y * y)) + (z * z)))
def code(x, y, z):
	return math.hypot(x, math.hypot(y, z))
function code(x, y, z)
	return sqrt(Float64(Float64(Float64(x * x) + Float64(y * y)) + Float64(z * z)))
end
function code(x, y, z)
	return hypot(x, hypot(y, z))
end
function tmp = code(x, y, z)
	tmp = sqrt((((x * x) + (y * y)) + (z * z)));
end
function tmp = code(x, y, z)
	tmp = hypot(x, hypot(y, z));
end
code[x_, y_, z_] := N[Sqrt[N[(N[(N[(x * x), $MachinePrecision] + N[(y * y), $MachinePrecision]), $MachinePrecision] + N[(z * z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
code[x_, y_, z_] := N[Sqrt[x ^ 2 + N[Sqrt[y ^ 2 + z ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]
\sqrt{\left(x \cdot x + y \cdot y\right) + z \cdot z}
\mathsf{hypot}\left(x, \mathsf{hypot}\left(y, z\right)\right)

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original37.5
Target24.9
Herbie0.0
\[\begin{array}{l} \mathbf{if}\;z < -6.396479394109776 \cdot 10^{+136}:\\ \;\;\;\;-z\\ \mathbf{elif}\;z < 7.320293694404182 \cdot 10^{+117}:\\ \;\;\;\;\sqrt{\left(z \cdot z + x \cdot x\right) + y \cdot y}\\ \mathbf{else}:\\ \;\;\;\;z\\ \end{array} \]

Derivation

  1. Initial program 37.5

    \[\sqrt{\left(x \cdot x + y \cdot y\right) + z \cdot z} \]
  2. Applied egg-rr0.0

    \[\leadsto \color{blue}{\mathsf{hypot}\left(x, \mathsf{hypot}\left(y, z\right)\right)} \]
  3. Final simplification0.0

    \[\leadsto \mathsf{hypot}\left(x, \mathsf{hypot}\left(y, z\right)\right) \]

Reproduce

herbie shell --seed 2022160 
(FPCore (x y z)
  :name "FRP.Yampa.Vector3:vector3Rho from Yampa-0.10.2"
  :precision binary64

  :herbie-target
  (if (< z -6.396479394109776e+136) (- z) (if (< z 7.320293694404182e+117) (sqrt (+ (+ (* z z) (* x x)) (* y y))) z))

  (sqrt (+ (+ (* x x) (* y y)) (* z z))))