\[\left(\frac{1}{8} \cdot x - \frac{y \cdot z}{2}\right) + t
\]
↓
\[\mathsf{fma}\left(z, -0.5 \cdot y, \mathsf{fma}\left(0.125, x, t\right)\right)
\]
(FPCore (x y z t)
:precision binary64
(+ (- (* (/ 1.0 8.0) x) (/ (* y z) 2.0)) t))
↓
(FPCore (x y z t) :precision binary64 (fma z (* -0.5 y) (fma 0.125 x t)))
double code(double x, double y, double z, double t) {
return (((1.0 / 8.0) * x) - ((y * z) / 2.0)) + t;
}
↓
double code(double x, double y, double z, double t) {
return fma(z, (-0.5 * y), fma(0.125, x, t));
}
function code(x, y, z, t)
return Float64(Float64(Float64(Float64(1.0 / 8.0) * x) - Float64(Float64(y * z) / 2.0)) + t)
end
↓
function code(x, y, z, t)
return fma(z, Float64(-0.5 * y), fma(0.125, x, t))
end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / 8.0), $MachinePrecision] * x), $MachinePrecision] - N[(N[(y * z), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + t), $MachinePrecision]
↓
code[x_, y_, z_, t_] := N[(z * N[(-0.5 * y), $MachinePrecision] + N[(0.125 * x + t), $MachinePrecision]), $MachinePrecision]
\left(\frac{1}{8} \cdot x - \frac{y \cdot z}{2}\right) + t
↓
\mathsf{fma}\left(z, -0.5 \cdot y, \mathsf{fma}\left(0.125, x, t\right)\right)
Alternatives
| Alternative 1 |
|---|
| Error | 29.4 |
|---|
| Cost | 1380 |
|---|
\[\begin{array}{l}
t_1 := z \cdot \left(-0.5 \cdot y\right)\\
\mathbf{if}\;t \leq -7.5 \cdot 10^{+82}:\\
\;\;\;\;t\\
\mathbf{elif}\;t \leq -3.7 \cdot 10^{-34}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t \leq -2.9 \cdot 10^{-131}:\\
\;\;\;\;0.125 \cdot x\\
\mathbf{elif}\;t \leq -3.1 \cdot 10^{-172}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t \leq -1.7 \cdot 10^{-185}:\\
\;\;\;\;0.125 \cdot x\\
\mathbf{elif}\;t \leq 1.95 \cdot 10^{-205}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t \leq 2 \cdot 10^{-135}:\\
\;\;\;\;0.125 \cdot x\\
\mathbf{elif}\;t \leq 3 \cdot 10^{-119}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t \leq 2.02 \cdot 10^{+71}:\\
\;\;\;\;0.125 \cdot x\\
\mathbf{else}:\\
\;\;\;\;t\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 19.4 |
|---|
| Cost | 1113 |
|---|
\[\begin{array}{l}
t_1 := t + 0.125 \cdot x\\
t_2 := z \cdot \left(-0.5 \cdot y\right)\\
\mathbf{if}\;t \leq -3.8 \cdot 10^{-131}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t \leq -3.8 \cdot 10^{-172}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;t \leq -1.32 \cdot 10^{-186}:\\
\;\;\;\;0.125 \cdot x\\
\mathbf{elif}\;t \leq 1.35 \cdot 10^{-216} \lor \neg \left(t \leq 4.8 \cdot 10^{-136}\right) \land t \leq 1.7 \cdot 10^{-118}:\\
\;\;\;\;t_2\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 8.7 |
|---|
| Cost | 969 |
|---|
\[\begin{array}{l}
\mathbf{if}\;z \cdot y \leq -5 \cdot 10^{+23} \lor \neg \left(z \cdot y \leq 10^{+30}\right):\\
\;\;\;\;t + -0.5 \cdot \left(z \cdot y\right)\\
\mathbf{else}:\\
\;\;\;\;t + 0.125 \cdot x\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 8.6 |
|---|
| Cost | 841 |
|---|
\[\begin{array}{l}
\mathbf{if}\;t \leq -8 \cdot 10^{+82} \lor \neg \left(t \leq 3 \cdot 10^{-40}\right):\\
\;\;\;\;t + 0.125 \cdot x\\
\mathbf{else}:\\
\;\;\;\;0.125 \cdot x + -0.5 \cdot \left(z \cdot y\right)\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 0.0 |
|---|
| Cost | 704 |
|---|
\[t + \left(0.125 \cdot x - z \cdot \frac{y}{2}\right)
\]
| Alternative 6 |
|---|
| Error | 28.2 |
|---|
| Cost | 456 |
|---|
\[\begin{array}{l}
\mathbf{if}\;x \leq -2.8 \cdot 10^{+64}:\\
\;\;\;\;0.125 \cdot x\\
\mathbf{elif}\;x \leq 1.6 \cdot 10^{+77}:\\
\;\;\;\;t\\
\mathbf{else}:\\
\;\;\;\;0.125 \cdot x\\
\end{array}
\]
| Alternative 7 |
|---|
| Error | 40.1 |
|---|
| Cost | 64 |
|---|
\[t
\]