Average Error: 0.0 → 0.0
Time: 5.4s
Precision: binary64
\[\frac{-\left(f + n\right)}{f - n} \]
\[\frac{f + n}{n - f} \]
(FPCore (f n) :precision binary64 (/ (- (+ f n)) (- f n)))
(FPCore (f n) :precision binary64 (/ (+ f n) (- n f)))
double code(double f, double n) {
	return -(f + n) / (f - n);
}
double code(double f, double n) {
	return (f + n) / (n - f);
}
real(8) function code(f, n)
    real(8), intent (in) :: f
    real(8), intent (in) :: n
    code = -(f + n) / (f - n)
end function
real(8) function code(f, n)
    real(8), intent (in) :: f
    real(8), intent (in) :: n
    code = (f + n) / (n - f)
end function
public static double code(double f, double n) {
	return -(f + n) / (f - n);
}
public static double code(double f, double n) {
	return (f + n) / (n - f);
}
def code(f, n):
	return -(f + n) / (f - n)
def code(f, n):
	return (f + n) / (n - f)
function code(f, n)
	return Float64(Float64(-Float64(f + n)) / Float64(f - n))
end
function code(f, n)
	return Float64(Float64(f + n) / Float64(n - f))
end
function tmp = code(f, n)
	tmp = -(f + n) / (f - n);
end
function tmp = code(f, n)
	tmp = (f + n) / (n - f);
end
code[f_, n_] := N[((-N[(f + n), $MachinePrecision]) / N[(f - n), $MachinePrecision]), $MachinePrecision]
code[f_, n_] := N[(N[(f + n), $MachinePrecision] / N[(n - f), $MachinePrecision]), $MachinePrecision]
\frac{-\left(f + n\right)}{f - n}
\frac{f + n}{n - f}

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{-\left(f + n\right)}{f - n} \]
  2. Simplified0.0

    \[\leadsto \color{blue}{\frac{f + n}{n - f}} \]
  3. Applied egg-rr0.1

    \[\leadsto \color{blue}{{\left(\sqrt[3]{\frac{f + n}{n - f}}\right)}^{3}} \]
  4. Applied egg-rr0.0

    \[\leadsto \color{blue}{\frac{f + n}{n - f}} \]
  5. Final simplification0.0

    \[\leadsto \frac{f + n}{n - f} \]

Reproduce

herbie shell --seed 2022209 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))