Average Error: 38.0 → 0.5
Time: 2.2s
Precision: binary64
Cost: 6528
\[ \begin{array}{c}[x, y, z] = \mathsf{sort}([x, y, z])\\ \end{array} \]
\[\sqrt{x \cdot x + \left(y \cdot y + z \cdot z\right)} \]
\[\mathsf{hypot}\left(z, x\right) \]
(FPCore (x y z) :precision binary64 (sqrt (+ (* x x) (+ (* y y) (* z z)))))
(FPCore (x y z) :precision binary64 (hypot z x))
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(z, x);
}
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(z, x);
}
def code(x, y, z):
	return math.sqrt(((x * x) + ((y * y) + (z * z))))
def code(x, y, z):
	return math.hypot(z, x)
function code(x, y, z)
	return sqrt(Float64(Float64(x * x) + Float64(Float64(y * y) + Float64(z * z))))
end
function code(x, y, z)
	return hypot(z, x)
end
function tmp = code(x, y, z)
	tmp = sqrt(((x * x) + ((y * y) + (z * z))));
end
function tmp = code(x, y, z)
	tmp = hypot(z, x);
end
code[x_, y_, z_] := N[Sqrt[N[(N[(x * x), $MachinePrecision] + N[(N[(y * y), $MachinePrecision] + N[(z * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
code[x_, y_, z_] := N[Sqrt[z ^ 2 + x ^ 2], $MachinePrecision]
\sqrt{x \cdot x + \left(y \cdot y + z \cdot z\right)}
\mathsf{hypot}\left(z, x\right)

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original38.0
Target0.0
Herbie0.5
\[\mathsf{hypot}\left(x, \mathsf{hypot}\left(y, z\right)\right) \]

Derivation

  1. Initial program 38.0

    \[\sqrt{x \cdot x + \left(y \cdot y + z \cdot z\right)} \]
  2. Taylor expanded in y around 0 38.2

    \[\leadsto \color{blue}{\sqrt{{z}^{2} + {x}^{2}}} \]
  3. Simplified0.5

    \[\leadsto \color{blue}{\mathsf{hypot}\left(z, x\right)} \]
    Proof
    (hypot.f64 z x): 0 points increase in error, 0 points decrease in error
    (Rewrite<= hypot-def_binary64 (sqrt.f64 (+.f64 (*.f64 z z) (*.f64 x x)))): 148 points increase in error, 0 points decrease in error
    (sqrt.f64 (+.f64 (Rewrite<= unpow2_binary64 (pow.f64 z 2)) (*.f64 x x))): 0 points increase in error, 0 points decrease in error
    (sqrt.f64 (+.f64 (pow.f64 z 2) (Rewrite<= unpow2_binary64 (pow.f64 x 2)))): 0 points increase in error, 0 points decrease in error
  4. Final simplification0.5

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

Alternatives

Alternative 1
Error12.6
Cost6660
\[\begin{array}{l} \mathbf{if}\;z \leq 3600:\\ \;\;\;\;\mathsf{hypot}\left(y, x\right)\\ \mathbf{else}:\\ \;\;\;\;z\\ \end{array} \]
Alternative 2
Error12.9
Cost260
\[\begin{array}{l} \mathbf{if}\;z \leq 1850:\\ \;\;\;\;-x\\ \mathbf{else}:\\ \;\;\;\;z\\ \end{array} \]
Alternative 3
Error30.7
Cost64
\[z \]

Error

Reproduce

herbie shell --seed 2022337 
(FPCore (x y z)
  :name "bug366 (missed optimization)"
  :precision binary64

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

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