# ?

Average Error: 27.2 → 0.3
Time: 10.8s
Precision: binary64
Cost: 960

# ?

$\left(\left(-1.79 \cdot 10^{+308} \leq x \land x \leq 1.79 \cdot 10^{+308}\right) \land \left(-1.79 \cdot 10^{+308} \leq y \land y \leq 1.79 \cdot 10^{+308}\right)\right) \land \left(-1.79 \cdot 10^{+308} \leq z \land z \leq 1.79 \cdot 10^{+308}\right)$
$\begin{array}{c}[x, y] = \mathsf{sort}([x, y])\\ \end{array}$
$\frac{x \cdot x + y \cdot y}{z \cdot z}$
$\frac{\frac{y}{z}}{\frac{z}{y}} + \frac{x}{z} \cdot \frac{x}{z}$
(FPCore (x y z) :precision binary64 (/ (+ (* x x) (* y y)) (* z z)))
(FPCore (x y z)
:precision binary64
(+ (/ (/ y z) (/ z y)) (* (/ x z) (/ x z))))
double code(double x, double y, double z) {
return ((x * x) + (y * y)) / (z * z);
}

double code(double x, double y, double z) {
return ((y / z) / (z / y)) + ((x / z) * (x / 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 * x) + (y * y)) / (z * 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 = ((y / z) / (z / y)) + ((x / z) * (x / z))
end function

public static double code(double x, double y, double z) {
return ((x * x) + (y * y)) / (z * z);
}

public static double code(double x, double y, double z) {
return ((y / z) / (z / y)) + ((x / z) * (x / z));
}

def code(x, y, z):
return ((x * x) + (y * y)) / (z * z)

def code(x, y, z):
return ((y / z) / (z / y)) + ((x / z) * (x / z))

function code(x, y, z)
return Float64(Float64(Float64(x * x) + Float64(y * y)) / Float64(z * z))
end

function code(x, y, z)
return Float64(Float64(Float64(y / z) / Float64(z / y)) + Float64(Float64(x / z) * Float64(x / z)))
end

function tmp = code(x, y, z)
tmp = ((x * x) + (y * y)) / (z * z);
end

function tmp = code(x, y, z)
tmp = ((y / z) / (z / y)) + ((x / z) * (x / z));
end

code[x_, y_, z_] := N[(N[(N[(x * x), $MachinePrecision] + N[(y * y),$MachinePrecision]), $MachinePrecision] / N[(z * z),$MachinePrecision]), $MachinePrecision]  code[x_, y_, z_] := N[(N[(N[(y / z),$MachinePrecision] / N[(z / y), $MachinePrecision]),$MachinePrecision] + N[(N[(x / z), $MachinePrecision] * N[(x / z),$MachinePrecision]), $MachinePrecision]),$MachinePrecision]

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

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


# Try it out?

Results

 In Out
Enter valid numbers for all inputs

# Derivation?

1. Initial program 27.2

$\frac{x \cdot x + y \cdot y}{z \cdot z}$
2. Taylor expanded in x around 0 27.2

$\leadsto \color{blue}{\frac{{y}^{2}}{{z}^{2}} + \frac{{x}^{2}}{{z}^{2}}}$
3. Simplified0.4

$\leadsto \color{blue}{\frac{y}{z} \cdot \frac{y}{z} + \frac{x}{z} \cdot \frac{x}{z}}$
Proof
[Start]27.2 $\frac{{y}^{2}}{{z}^{2}} + \frac{{x}^{2}}{{z}^{2}}$ $\frac{\color{blue}{y \cdot y}}{{z}^{2}} + \frac{{x}^{2}}{{z}^{2}}$ $\frac{y \cdot y}{\color{blue}{z \cdot z}} + \frac{{x}^{2}}{{z}^{2}}$ $\color{blue}{\frac{y}{z} \cdot \frac{y}{z}} + \frac{{x}^{2}}{{z}^{2}}$ $\frac{y}{z} \cdot \frac{y}{z} + \frac{\color{blue}{x \cdot x}}{{z}^{2}}$ $\frac{y}{z} \cdot \frac{y}{z} + \frac{x \cdot x}{\color{blue}{z \cdot z}}$ $\frac{y}{z} \cdot \frac{y}{z} + \color{blue}{\frac{x}{z} \cdot \frac{x}{z}}$
4. Applied egg-rr0.3

$\leadsto \color{blue}{\frac{\frac{y}{z}}{\frac{z}{y}}} + \frac{x}{z} \cdot \frac{x}{z}$
5. Final simplification0.3

$\leadsto \frac{\frac{y}{z}}{\frac{z}{y}} + \frac{x}{z} \cdot \frac{x}{z}$

# Alternatives

Alternative 1
Error3.3
Cost1224
$\begin{array}{l} \mathbf{if}\;x \leq -1.35 \cdot 10^{+154}:\\ \;\;\;\;\frac{\frac{x}{z}}{\frac{z}{x}}\\ \mathbf{elif}\;x \leq -6.4 \cdot 10^{-141}:\\ \;\;\;\;\frac{1}{z} \cdot \left(\frac{x \cdot x}{z} + y \cdot \frac{y}{z}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{y}{z} \cdot \frac{y}{z}\\ \end{array}$
Alternative 2
Error7.2
Cost968
$\begin{array}{l} \mathbf{if}\;x \leq -1.9 \cdot 10^{+33}:\\ \;\;\;\;\frac{\frac{x}{z}}{\frac{z}{x}}\\ \mathbf{elif}\;x \leq -4.8 \cdot 10^{-139}:\\ \;\;\;\;\frac{x \cdot x + y \cdot y}{z \cdot z}\\ \mathbf{else}:\\ \;\;\;\;\frac{y}{z} \cdot \frac{y}{z}\\ \end{array}$
Alternative 3
Error0.4
Cost960
$\frac{x}{z} \cdot \frac{x}{z} + \frac{y}{z} \cdot \frac{y}{z}$
Alternative 4
Error8.1
Cost580
$\begin{array}{l} \mathbf{if}\;x \leq -1.3 \cdot 10^{-80}:\\ \;\;\;\;\frac{x}{z} \cdot \frac{x}{z}\\ \mathbf{else}:\\ \;\;\;\;\frac{y}{z} \cdot \frac{y}{z}\\ \end{array}$
Alternative 5
Error8.0
Cost580
$\begin{array}{l} \mathbf{if}\;x \leq -9.2 \cdot 10^{-81}:\\ \;\;\;\;\frac{\frac{x}{z}}{\frac{z}{x}}\\ \mathbf{else}:\\ \;\;\;\;\frac{y}{z} \cdot \frac{y}{z}\\ \end{array}$
Alternative 6
Error23.5
Cost448
$\frac{x}{z} \cdot \frac{x}{z}$

# Reproduce?

herbie shell --seed 1
(FPCore (x y z)
:name "(x * x + y * y) / (z * z)"
:precision binary64
:pre (and (and (and (<= -1.79e+308 x) (<= x 1.79e+308)) (and (<= -1.79e+308 y) (<= y 1.79e+308))) (and (<= -1.79e+308 z) (<= z 1.79e+308)))
(/ (+ (* x x) (* y y)) (* z z)))