Math FPCore C Julia Wolfram TeX \[\frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}
\]
↓
\[\begin{array}{l}
t_0 := \frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}\\
\mathbf{if}\;t_0 \leq -\infty:\\
\;\;\;\;\frac{b}{d} + \frac{a}{d} \cdot \frac{c}{d}\\
\mathbf{elif}\;t_0 \leq 10^{+287}:\\
\;\;\;\;\frac{1}{\mathsf{hypot}\left(c, d\right)} \cdot \frac{\mathsf{fma}\left(a, c, b \cdot d\right)}{\mathsf{hypot}\left(c, d\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{a}{c} + \frac{b}{c} \cdot \frac{d}{c}\\
\end{array}
\]
(FPCore (a b c d)
:precision binary64
(/ (+ (* a c) (* b d)) (+ (* c c) (* d d)))) ↓
(FPCore (a b c d)
:precision binary64
(let* ((t_0 (/ (+ (* a c) (* b d)) (+ (* c c) (* d d)))))
(if (<= t_0 (- INFINITY))
(+ (/ b d) (* (/ a d) (/ c d)))
(if (<= t_0 1e+287)
(* (/ 1.0 (hypot c d)) (/ (fma a c (* b d)) (hypot c d)))
(+ (/ a c) (* (/ b c) (/ d c))))))) double code(double a, double b, double c, double d) {
return ((a * c) + (b * d)) / ((c * c) + (d * d));
}
↓
double code(double a, double b, double c, double d) {
double t_0 = ((a * c) + (b * d)) / ((c * c) + (d * d));
double tmp;
if (t_0 <= -((double) INFINITY)) {
tmp = (b / d) + ((a / d) * (c / d));
} else if (t_0 <= 1e+287) {
tmp = (1.0 / hypot(c, d)) * (fma(a, c, (b * d)) / hypot(c, d));
} else {
tmp = (a / c) + ((b / c) * (d / c));
}
return tmp;
}
function code(a, b, c, d)
return Float64(Float64(Float64(a * c) + Float64(b * d)) / Float64(Float64(c * c) + Float64(d * d)))
end
↓
function code(a, b, c, d)
t_0 = Float64(Float64(Float64(a * c) + Float64(b * d)) / Float64(Float64(c * c) + Float64(d * d)))
tmp = 0.0
if (t_0 <= Float64(-Inf))
tmp = Float64(Float64(b / d) + Float64(Float64(a / d) * Float64(c / d)));
elseif (t_0 <= 1e+287)
tmp = Float64(Float64(1.0 / hypot(c, d)) * Float64(fma(a, c, Float64(b * d)) / hypot(c, d)));
else
tmp = Float64(Float64(a / c) + Float64(Float64(b / c) * Float64(d / c)));
end
return tmp
end
code[a_, b_, c_, d_] := N[(N[(N[(a * c), $MachinePrecision] + N[(b * d), $MachinePrecision]), $MachinePrecision] / N[(N[(c * c), $MachinePrecision] + N[(d * d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[a_, b_, c_, d_] := Block[{t$95$0 = N[(N[(N[(a * c), $MachinePrecision] + N[(b * d), $MachinePrecision]), $MachinePrecision] / N[(N[(c * c), $MachinePrecision] + N[(d * d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, (-Infinity)], N[(N[(b / d), $MachinePrecision] + N[(N[(a / d), $MachinePrecision] * N[(c / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$0, 1e+287], N[(N[(1.0 / N[Sqrt[c ^ 2 + d ^ 2], $MachinePrecision]), $MachinePrecision] * N[(N[(a * c + N[(b * d), $MachinePrecision]), $MachinePrecision] / N[Sqrt[c ^ 2 + d ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(a / c), $MachinePrecision] + N[(N[(b / c), $MachinePrecision] * N[(d / c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}
↓
\begin{array}{l}
t_0 := \frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}\\
\mathbf{if}\;t_0 \leq -\infty:\\
\;\;\;\;\frac{b}{d} + \frac{a}{d} \cdot \frac{c}{d}\\
\mathbf{elif}\;t_0 \leq 10^{+287}:\\
\;\;\;\;\frac{1}{\mathsf{hypot}\left(c, d\right)} \cdot \frac{\mathsf{fma}\left(a, c, b \cdot d\right)}{\mathsf{hypot}\left(c, d\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{a}{c} + \frac{b}{c} \cdot \frac{d}{c}\\
\end{array}
Alternatives Alternative 1 Error 14.0 Cost 1356
\[\begin{array}{l}
t_0 := \frac{a}{c} + \frac{d \cdot \frac{b}{c}}{c}\\
\mathbf{if}\;c \leq -300000000000:\\
\;\;\;\;t_0\\
\mathbf{elif}\;c \leq 9 \cdot 10^{-225}:\\
\;\;\;\;\frac{b}{d} + \frac{a}{d \cdot \frac{d}{c}}\\
\mathbf{elif}\;c \leq 3.5 \cdot 10^{+56}:\\
\;\;\;\;\frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
Alternative 2 Error 18.9 Cost 1232
\[\begin{array}{l}
t_0 := \frac{a}{c} + \frac{d \cdot \frac{b}{c}}{c}\\
\mathbf{if}\;d \leq -4.3 \cdot 10^{+48}:\\
\;\;\;\;\frac{b}{d}\\
\mathbf{elif}\;d \leq 3.1 \cdot 10^{-9}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;d \leq 7.5 \cdot 10^{+20}:\\
\;\;\;\;a \cdot \frac{c}{c \cdot c + d \cdot d}\\
\mathbf{elif}\;d \leq 6.8 \cdot 10^{+56}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;\frac{b}{d}\\
\end{array}
\]
Alternative 3 Error 21.4 Cost 1100
\[\begin{array}{l}
\mathbf{if}\;c \leq -5.2 \cdot 10^{+47}:\\
\;\;\;\;\frac{a}{c}\\
\mathbf{elif}\;c \leq 8.8 \cdot 10^{-44}:\\
\;\;\;\;\frac{b}{d}\\
\mathbf{elif}\;c \leq 6 \cdot 10^{+117}:\\
\;\;\;\;a \cdot \frac{c}{c \cdot c + d \cdot d}\\
\mathbf{else}:\\
\;\;\;\;\frac{a}{c}\\
\end{array}
\]
Alternative 4 Error 19.0 Cost 1100
\[\begin{array}{l}
\mathbf{if}\;d \leq -6.5 \cdot 10^{+48}:\\
\;\;\;\;\frac{b}{d}\\
\mathbf{elif}\;d \leq 3.7 \cdot 10^{-6}:\\
\;\;\;\;\frac{a}{c} + \frac{b}{c} \cdot \frac{d}{c}\\
\mathbf{elif}\;d \leq 1.15 \cdot 10^{+43}:\\
\;\;\;\;a \cdot \frac{c}{c \cdot c + d \cdot d}\\
\mathbf{else}:\\
\;\;\;\;\frac{b}{d}\\
\end{array}
\]
Alternative 5 Error 15.1 Cost 969
\[\begin{array}{l}
\mathbf{if}\;c \leq -300000000000 \lor \neg \left(c \leq 8.6 \cdot 10^{-8}\right):\\
\;\;\;\;\frac{a}{c} + \frac{d \cdot \frac{b}{c}}{c}\\
\mathbf{else}:\\
\;\;\;\;\frac{b}{d} + \frac{a}{d} \cdot \frac{c}{d}\\
\end{array}
\]
Alternative 6 Error 15.1 Cost 969
\[\begin{array}{l}
\mathbf{if}\;c \leq -270000000000 \lor \neg \left(c \leq 1.2 \cdot 10^{-27}\right):\\
\;\;\;\;\frac{a}{c} + \frac{d \cdot \frac{b}{c}}{c}\\
\mathbf{else}:\\
\;\;\;\;\frac{b}{d} + \frac{a}{d \cdot \frac{d}{c}}\\
\end{array}
\]
Alternative 7 Error 36.1 Cost 456
\[\begin{array}{l}
\mathbf{if}\;d \leq -1.4 \cdot 10^{+207}:\\
\;\;\;\;\frac{a}{d}\\
\mathbf{elif}\;d \leq 2.1 \cdot 10^{+215}:\\
\;\;\;\;\frac{a}{c}\\
\mathbf{else}:\\
\;\;\;\;\frac{a}{d}\\
\end{array}
\]
Alternative 8 Error 22.4 Cost 456
\[\begin{array}{l}
\mathbf{if}\;c \leq -2.3 \cdot 10^{+49}:\\
\;\;\;\;\frac{a}{c}\\
\mathbf{elif}\;c \leq 7.5 \cdot 10^{+20}:\\
\;\;\;\;\frac{b}{d}\\
\mathbf{else}:\\
\;\;\;\;\frac{a}{c}\\
\end{array}
\]
Alternative 9 Error 37.2 Cost 192
\[\frac{a}{c}
\]