Math FPCore C Julia Wolfram TeX \[x + \frac{\left(y - z\right) \cdot t}{a - z}
\]
↓
\[\mathsf{fma}\left(\frac{y - z}{a - z}, t, x\right)
\]
(FPCore (x y z t a) :precision binary64 (+ x (/ (* (- y z) t) (- a z)))) ↓
(FPCore (x y z t a) :precision binary64 (fma (/ (- y z) (- a z)) t x)) double code(double x, double y, double z, double t, double a) {
return x + (((y - z) * t) / (a - z));
}
↓
double code(double x, double y, double z, double t, double a) {
return fma(((y - z) / (a - z)), t, x);
}
function code(x, y, z, t, a)
return Float64(x + Float64(Float64(Float64(y - z) * t) / Float64(a - z)))
end
↓
function code(x, y, z, t, a)
return fma(Float64(Float64(y - z) / Float64(a - z)), t, x)
end
code[x_, y_, z_, t_, a_] := N[(x + N[(N[(N[(y - z), $MachinePrecision] * t), $MachinePrecision] / N[(a - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_] := N[(N[(N[(y - z), $MachinePrecision] / N[(a - z), $MachinePrecision]), $MachinePrecision] * t + x), $MachinePrecision]
x + \frac{\left(y - z\right) \cdot t}{a - z}
↓
\mathsf{fma}\left(\frac{y - z}{a - z}, t, x\right)
Alternatives Alternative 1 Accuracy 81.3% Cost 841
\[\begin{array}{l}
\mathbf{if}\;z \leq -1550 \lor \neg \left(z \leq 6.6 \cdot 10^{-105}\right):\\
\;\;\;\;x + t \cdot \left(1 - \frac{y}{z}\right)\\
\mathbf{else}:\\
\;\;\;\;x + \frac{t}{\frac{a}{y}}\\
\end{array}
\]
Alternative 2 Accuracy 82.3% Cost 841
\[\begin{array}{l}
\mathbf{if}\;z \leq -2.25 \cdot 10^{+18} \lor \neg \left(z \leq 4.3 \cdot 10^{-105}\right):\\
\;\;\;\;x + t \cdot \left(1 - \frac{y}{z}\right)\\
\mathbf{else}:\\
\;\;\;\;x + \frac{t}{\frac{a}{y - z}}\\
\end{array}
\]
Alternative 3 Accuracy 84.5% Cost 841
\[\begin{array}{l}
\mathbf{if}\;z \leq -3.2 \cdot 10^{-69} \lor \neg \left(z \leq 3.1 \cdot 10^{-109}\right):\\
\;\;\;\;x - \frac{t}{\frac{a}{z} + -1}\\
\mathbf{else}:\\
\;\;\;\;x + \frac{t}{\frac{a}{y - z}}\\
\end{array}
\]
Alternative 4 Accuracy 76.1% Cost 712
\[\begin{array}{l}
\mathbf{if}\;z \leq -2.65 \cdot 10^{-70}:\\
\;\;\;\;t + x\\
\mathbf{elif}\;z \leq 1.35 \cdot 10^{-105}:\\
\;\;\;\;x + t \cdot \frac{y}{a}\\
\mathbf{else}:\\
\;\;\;\;t + x\\
\end{array}
\]
Alternative 5 Accuracy 76.5% Cost 712
\[\begin{array}{l}
\mathbf{if}\;z \leq -5.8 \cdot 10^{-37}:\\
\;\;\;\;t + x\\
\mathbf{elif}\;z \leq 8 \cdot 10^{-105}:\\
\;\;\;\;x + \frac{t}{\frac{a}{y}}\\
\mathbf{else}:\\
\;\;\;\;t + x\\
\end{array}
\]
Alternative 6 Accuracy 98.1% Cost 704
\[x + \frac{y - z}{a - z} \cdot t
\]
Alternative 7 Accuracy 68.2% Cost 456
\[\begin{array}{l}
\mathbf{if}\;z \leq -1.25 \cdot 10^{-47}:\\
\;\;\;\;t + x\\
\mathbf{elif}\;z \leq 2.25 \cdot 10^{-105}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;t + x\\
\end{array}
\]
Alternative 8 Accuracy 56.0% Cost 196
\[\begin{array}{l}
\mathbf{if}\;t \leq 8.5 \cdot 10^{+172}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;t\\
\end{array}
\]
Alternative 9 Accuracy 20.0% Cost 64
\[t
\]