Math FPCore C Julia Wolfram TeX \[\frac{60 \cdot \left(x - y\right)}{z - t} + a \cdot 120
\]
↓
\[\mathsf{fma}\left(60, \frac{x - y}{z - t}, a \cdot 120\right)
\]
(FPCore (x y z t a)
:precision binary64
(+ (/ (* 60.0 (- x y)) (- z t)) (* a 120.0))) ↓
(FPCore (x y z t a)
:precision binary64
(fma 60.0 (/ (- x y) (- z t)) (* a 120.0))) double code(double x, double y, double z, double t, double a) {
return ((60.0 * (x - y)) / (z - t)) + (a * 120.0);
}
↓
double code(double x, double y, double z, double t, double a) {
return fma(60.0, ((x - y) / (z - t)), (a * 120.0));
}
function code(x, y, z, t, a)
return Float64(Float64(Float64(60.0 * Float64(x - y)) / Float64(z - t)) + Float64(a * 120.0))
end
↓
function code(x, y, z, t, a)
return fma(60.0, Float64(Float64(x - y) / Float64(z - t)), Float64(a * 120.0))
end
code[x_, y_, z_, t_, a_] := N[(N[(N[(60.0 * N[(x - y), $MachinePrecision]), $MachinePrecision] / N[(z - t), $MachinePrecision]), $MachinePrecision] + N[(a * 120.0), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_] := N[(60.0 * N[(N[(x - y), $MachinePrecision] / N[(z - t), $MachinePrecision]), $MachinePrecision] + N[(a * 120.0), $MachinePrecision]), $MachinePrecision]
\frac{60 \cdot \left(x - y\right)}{z - t} + a \cdot 120
↓
\mathsf{fma}\left(60, \frac{x - y}{z - t}, a \cdot 120\right)
Alternatives Alternative 1 Accuracy 70.0% Cost 2136
\[\begin{array}{l}
t_1 := 60 \cdot \frac{x - y}{z - t}\\
\mathbf{if}\;a \cdot 120 \leq -5 \cdot 10^{+83}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \cdot 120 \leq -5 \cdot 10^{+18}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;a \cdot 120 \leq -1 \cdot 10^{-50}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \cdot 120 \leq 5 \cdot 10^{-179}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;a \cdot 120 \leq 4 \cdot 10^{-154}:\\
\;\;\;\;a \cdot 120 + -60 \cdot \frac{y}{z}\\
\mathbf{elif}\;a \cdot 120 \leq 2 \cdot 10^{+84}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120 + 60 \cdot \frac{y}{t}\\
\end{array}
\]
Alternative 2 Accuracy 70.0% Cost 2136
\[\begin{array}{l}
t_1 := 60 \cdot \frac{x - y}{z - t}\\
\mathbf{if}\;a \cdot 120 \leq -5 \cdot 10^{+83}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \cdot 120 \leq -5 \cdot 10^{+18}:\\
\;\;\;\;\frac{60 \cdot \left(x - y\right)}{z - t}\\
\mathbf{elif}\;a \cdot 120 \leq -1 \cdot 10^{-50}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \cdot 120 \leq 5 \cdot 10^{-179}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;a \cdot 120 \leq 4 \cdot 10^{-154}:\\
\;\;\;\;a \cdot 120 + -60 \cdot \frac{y}{z}\\
\mathbf{elif}\;a \cdot 120 \leq 2 \cdot 10^{+84}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120 + 60 \cdot \frac{y}{t}\\
\end{array}
\]
Alternative 3 Accuracy 53.7% Cost 1504
\[\begin{array}{l}
t_1 := -60 \cdot \frac{y}{z - t}\\
t_2 := 60 \cdot \frac{x}{z - t}\\
\mathbf{if}\;x \leq -3 \cdot 10^{+88}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;x \leq -1.6 \cdot 10^{-109}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;x \leq -3.2 \cdot 10^{-147}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq -1.42 \cdot 10^{-239}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;x \leq -2.15 \cdot 10^{-272}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 8.4 \cdot 10^{-83}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;x \leq 5.4 \cdot 10^{-17}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 5.5 \cdot 10^{+231}:\\
\;\;\;\;a \cdot 120\\
\mathbf{else}:\\
\;\;\;\;t_2\\
\end{array}
\]
Alternative 4 Accuracy 47.9% Cost 1376
\[\begin{array}{l}
t_1 := -60 \cdot \frac{y}{z - t}\\
t_2 := x \cdot \frac{60}{z}\\
\mathbf{if}\;x \leq -3.1 \cdot 10^{+88}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;x \leq -7 \cdot 10^{-109}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;x \leq -3.5 \cdot 10^{-147}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq -1.8 \cdot 10^{-239}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;x \leq -2.1 \cdot 10^{-277}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 1.7 \cdot 10^{-81}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;x \leq 1.3 \cdot 10^{-12}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 6 \cdot 10^{+232}:\\
\;\;\;\;a \cdot 120\\
\mathbf{else}:\\
\;\;\;\;t_2\\
\end{array}
\]
Alternative 5 Accuracy 58.4% Cost 1372
\[\begin{array}{l}
t_1 := -60 \cdot \frac{y}{z - t}\\
t_2 := 60 \cdot \frac{x - y}{z}\\
\mathbf{if}\;a \leq -6.5 \cdot 10^{-54}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq -6 \cdot 10^{-117}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;a \leq -4.4 \cdot 10^{-139}:\\
\;\;\;\;60 \cdot \frac{x}{z - t}\\
\mathbf{elif}\;a \leq 10^{-161}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;a \leq 220:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq 510000000:\\
\;\;\;\;t_2\\
\mathbf{elif}\;a \leq 4.7 \cdot 10^{+79}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120\\
\end{array}
\]
Alternative 6 Accuracy 58.5% Cost 1372
\[\begin{array}{l}
t_1 := -60 \cdot \frac{y}{z - t}\\
\mathbf{if}\;a \leq -7.2 \cdot 10^{-54}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq -5.2 \cdot 10^{-117}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;a \leq -2.2 \cdot 10^{-139}:\\
\;\;\;\;60 \cdot \frac{x}{z - t}\\
\mathbf{elif}\;a \leq 3.55 \cdot 10^{-162}:\\
\;\;\;\;\left(x - y\right) \cdot \frac{60}{z}\\
\mathbf{elif}\;a \leq 230:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq 3500000:\\
\;\;\;\;60 \cdot \frac{x - y}{z}\\
\mathbf{elif}\;a \leq 4.7 \cdot 10^{+79}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120\\
\end{array}
\]
Alternative 7 Accuracy 58.4% Cost 1372
\[\begin{array}{l}
t_1 := -60 \cdot \frac{y}{z - t}\\
\mathbf{if}\;a \leq -4.6 \cdot 10^{-54}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq -4.6 \cdot 10^{-117}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;a \leq -3.1 \cdot 10^{-139}:\\
\;\;\;\;\frac{60 \cdot x}{z - t}\\
\mathbf{elif}\;a \leq 10^{-161}:\\
\;\;\;\;\left(x - y\right) \cdot \frac{60}{z}\\
\mathbf{elif}\;a \leq 230:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq 64000000:\\
\;\;\;\;60 \cdot \frac{x - y}{z}\\
\mathbf{elif}\;a \leq 4.7 \cdot 10^{+79}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120\\
\end{array}
\]
Alternative 8 Accuracy 61.4% Cost 1372
\[\begin{array}{l}
\mathbf{if}\;a \leq -3.2 \cdot 10^{-53}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq -7.5 \cdot 10^{-117}:\\
\;\;\;\;-60 \cdot \frac{y}{z - t}\\
\mathbf{elif}\;a \leq -2.9 \cdot 10^{-139}:\\
\;\;\;\;\frac{60 \cdot x}{z - t}\\
\mathbf{elif}\;a \leq 8.4 \cdot 10^{-162}:\\
\;\;\;\;\left(x - y\right) \cdot \frac{60}{z}\\
\mathbf{elif}\;a \leq 1.3 \cdot 10^{-144}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq 4.5 \cdot 10^{-137}:\\
\;\;\;\;y \cdot \frac{-60}{z}\\
\mathbf{elif}\;a \leq 1.95 \cdot 10^{-82}:\\
\;\;\;\;\frac{x - y}{\frac{t}{-60}}\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120\\
\end{array}
\]
Alternative 9 Accuracy 72.3% Cost 1371
\[\begin{array}{l}
\mathbf{if}\;a \leq -1.4 \cdot 10^{+75} \lor \neg \left(a \leq -45000000000\right) \land \left(a \leq -8.8 \cdot 10^{-53} \lor \neg \left(a \leq 10^{-161} \lor \neg \left(a \leq 2 \cdot 10^{-150}\right) \land a \leq 1.25 \cdot 10^{+82}\right)\right):\\
\;\;\;\;a \cdot 120\\
\mathbf{else}:\\
\;\;\;\;60 \cdot \frac{x - y}{z - t}\\
\end{array}
\]
Alternative 10 Accuracy 72.1% Cost 1368
\[\begin{array}{l}
t_1 := 60 \cdot \frac{x - y}{z - t}\\
\mathbf{if}\;a \leq -3.5 \cdot 10^{+73}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq -245000000000:\\
\;\;\;\;t_1\\
\mathbf{elif}\;a \leq -6 \cdot 10^{-53}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq 3.4 \cdot 10^{-177}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;a \leq 1.75 \cdot 10^{-156}:\\
\;\;\;\;a \cdot 120 + -60 \cdot \frac{y}{z}\\
\mathbf{elif}\;a \leq 1.25 \cdot 10^{+82}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120\\
\end{array}
\]
Alternative 11 Accuracy 75.6% Cost 1236
\[\begin{array}{l}
t_1 := a \cdot 120 + 60 \cdot \frac{x}{z}\\
t_2 := 60 \cdot \frac{x - y}{z - t}\\
\mathbf{if}\;z \leq -1.56 \cdot 10^{+63}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 10^{-125}:\\
\;\;\;\;a \cdot 120 + -60 \cdot \frac{x - y}{t}\\
\mathbf{elif}\;z \leq 2.3 \cdot 10^{+38}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;z \leq 8.2 \cdot 10^{+57}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 3.6 \cdot 10^{+106}:\\
\;\;\;\;t_2\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120 + -60 \cdot \frac{y}{z}\\
\end{array}
\]
Alternative 12 Accuracy 83.8% Cost 1225
\[\begin{array}{l}
\mathbf{if}\;a \cdot 120 \leq -2 \cdot 10^{-115} \lor \neg \left(a \cdot 120 \leq 5 \cdot 10^{-191}\right):\\
\;\;\;\;a \cdot 120 + \frac{y \cdot -60}{z - t}\\
\mathbf{else}:\\
\;\;\;\;60 \cdot \frac{x - y}{z - t}\\
\end{array}
\]
Alternative 13 Accuracy 85.5% Cost 1100
\[\begin{array}{l}
t_1 := \frac{x - y}{\frac{z}{60}} + a \cdot 120\\
\mathbf{if}\;z \leq -1.7 \cdot 10^{-38}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 3.8 \cdot 10^{-135}:\\
\;\;\;\;a \cdot 120 + -60 \cdot \frac{x - y}{t}\\
\mathbf{elif}\;z \leq 1.36 \cdot 10^{+41}:\\
\;\;\;\;a \cdot 120 + \frac{y \cdot -60}{z - t}\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 14 Accuracy 99.8% Cost 832
\[\frac{60}{\frac{z - t}{x - y}} + a \cdot 120
\]
Alternative 15 Accuracy 55.4% Cost 584
\[\begin{array}{l}
\mathbf{if}\;a \leq -2.5 \cdot 10^{-64}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq 1.2 \cdot 10^{-241}:\\
\;\;\;\;-60 \cdot \frac{y}{z}\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120\\
\end{array}
\]
Alternative 16 Accuracy 56.4% Cost 584
\[\begin{array}{l}
\mathbf{if}\;a \leq -2.6 \cdot 10^{-119}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq 5.8 \cdot 10^{-228}:\\
\;\;\;\;60 \cdot \frac{x}{z}\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120\\
\end{array}
\]
Alternative 17 Accuracy 56.4% Cost 584
\[\begin{array}{l}
\mathbf{if}\;a \leq -7 \cdot 10^{-121}:\\
\;\;\;\;a \cdot 120\\
\mathbf{elif}\;a \leq 1.45 \cdot 10^{-221}:\\
\;\;\;\;x \cdot \frac{60}{z}\\
\mathbf{else}:\\
\;\;\;\;a \cdot 120\\
\end{array}
\]
Alternative 18 Accuracy 55.1% Cost 192
\[a \cdot 120
\]