| Alternative 1 | |
|---|---|
| Error | 17.2 |
| Cost | 713 |
\[\begin{array}{l}
\mathbf{if}\;n \leq -7.5 \cdot 10^{-41} \lor \neg \left(n \leq 2.2 \cdot 10^{+68}\right):\\
\;\;\;\;1 + 2 \cdot \frac{f}{n}\\
\mathbf{else}:\\
\;\;\;\;-1\\
\end{array}
\]
(FPCore (f n) :precision binary64 (/ (- (+ f n)) (- f n)))
(FPCore (f n) :precision binary64 (/ 1.0 (/ 1.0 (/ (+ n f) (- n f)))))
double code(double f, double n) {
return -(f + n) / (f - n);
}
double code(double f, double n) {
return 1.0 / (1.0 / ((n + f) / (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 = 1.0d0 / (1.0d0 / ((n + f) / (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 1.0 / (1.0 / ((n + f) / (n - f)));
}
def code(f, n): return -(f + n) / (f - n)
def code(f, n): return 1.0 / (1.0 / ((n + f) / (n - f)))
function code(f, n) return Float64(Float64(-Float64(f + n)) / Float64(f - n)) end
function code(f, n) return Float64(1.0 / Float64(1.0 / Float64(Float64(n + f) / Float64(n - f)))) end
function tmp = code(f, n) tmp = -(f + n) / (f - n); end
function tmp = code(f, n) tmp = 1.0 / (1.0 / ((n + f) / (n - f))); end
code[f_, n_] := N[((-N[(f + n), $MachinePrecision]) / N[(f - n), $MachinePrecision]), $MachinePrecision]
code[f_, n_] := N[(1.0 / N[(1.0 / N[(N[(n + f), $MachinePrecision] / N[(n - f), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{-\left(f + n\right)}{f - n}
\frac{1}{\frac{1}{\frac{n + f}{n - f}}}
Results
Initial program 0.0
Simplified0.0
[Start]0.0 | \[ \frac{-\left(f + n\right)}{f - n}
\] |
|---|---|
sub-neg [=>]0.0 | \[ \frac{-\left(f + n\right)}{\color{blue}{f + \left(-n\right)}}
\] |
+-commutative [=>]0.0 | \[ \frac{-\left(f + n\right)}{\color{blue}{\left(-n\right) + f}}
\] |
neg-sub0 [=>]0.0 | \[ \frac{-\left(f + n\right)}{\color{blue}{\left(0 - n\right)} + f}
\] |
associate-+l- [=>]0.0 | \[ \frac{-\left(f + n\right)}{\color{blue}{0 - \left(n - f\right)}}
\] |
sub0-neg [=>]0.0 | \[ \frac{-\left(f + n\right)}{\color{blue}{-\left(n - f\right)}}
\] |
neg-mul-1 [=>]0.0 | \[ \frac{-\left(f + n\right)}{\color{blue}{-1 \cdot \left(n - f\right)}}
\] |
associate-/r* [=>]0.0 | \[ \color{blue}{\frac{\frac{-\left(f + n\right)}{-1}}{n - f}}
\] |
neg-mul-1 [=>]0.0 | \[ \frac{\frac{\color{blue}{-1 \cdot \left(f + n\right)}}{-1}}{n - f}
\] |
*-commutative [=>]0.0 | \[ \frac{\frac{\color{blue}{\left(f + n\right) \cdot -1}}{-1}}{n - f}
\] |
associate-/l* [=>]0.0 | \[ \frac{\color{blue}{\frac{f + n}{\frac{-1}{-1}}}}{n - f}
\] |
metadata-eval [=>]0.0 | \[ \frac{\frac{f + n}{\color{blue}{1}}}{n - f}
\] |
/-rgt-identity [=>]0.0 | \[ \frac{\color{blue}{f + n}}{n - f}
\] |
Applied egg-rr0.2
Applied egg-rr0.0
Final simplification0.0
| Alternative 1 | |
|---|---|
| Error | 17.2 |
| Cost | 713 |
| Alternative 2 | |
|---|---|
| Error | 16.7 |
| Cost | 713 |
| Alternative 3 | |
|---|---|
| Error | 0.0 |
| Cost | 448 |
| Alternative 4 | |
|---|---|
| Error | 17.5 |
| Cost | 328 |
| Alternative 5 | |
|---|---|
| Error | 32.1 |
| Cost | 64 |
herbie shell --seed 2023066
(FPCore (f n)
:name "subtraction fraction"
:precision binary64
(/ (- (+ f n)) (- f n)))