Math FPCore C Java Python Julia MATLAB Wolfram TeX \[x + \left(y - x\right) \cdot \frac{z}{t}
\]
↓
\[\begin{array}{l}
\mathbf{if}\;\frac{z}{t} \leq -\infty:\\
\;\;\;\;z \cdot \left(\frac{y}{t} - \frac{x}{t}\right)\\
\mathbf{else}:\\
\;\;\;\;x + \left(y - x\right) \cdot \frac{z}{t}\\
\end{array}
\]
(FPCore (x y z t) :precision binary64 (+ x (* (- y x) (/ z t)))) ↓
(FPCore (x y z t)
:precision binary64
(if (<= (/ z t) (- INFINITY))
(* z (- (/ y t) (/ x t)))
(+ x (* (- y x) (/ z t))))) double code(double x, double y, double z, double t) {
return x + ((y - x) * (z / t));
}
↓
double code(double x, double y, double z, double t) {
double tmp;
if ((z / t) <= -((double) INFINITY)) {
tmp = z * ((y / t) - (x / t));
} else {
tmp = x + ((y - x) * (z / t));
}
return tmp;
}
public static double code(double x, double y, double z, double t) {
return x + ((y - x) * (z / t));
}
↓
public static double code(double x, double y, double z, double t) {
double tmp;
if ((z / t) <= -Double.POSITIVE_INFINITY) {
tmp = z * ((y / t) - (x / t));
} else {
tmp = x + ((y - x) * (z / t));
}
return tmp;
}
def code(x, y, z, t):
return x + ((y - x) * (z / t))
↓
def code(x, y, z, t):
tmp = 0
if (z / t) <= -math.inf:
tmp = z * ((y / t) - (x / t))
else:
tmp = x + ((y - x) * (z / t))
return tmp
function code(x, y, z, t)
return Float64(x + Float64(Float64(y - x) * Float64(z / t)))
end
↓
function code(x, y, z, t)
tmp = 0.0
if (Float64(z / t) <= Float64(-Inf))
tmp = Float64(z * Float64(Float64(y / t) - Float64(x / t)));
else
tmp = Float64(x + Float64(Float64(y - x) * Float64(z / t)));
end
return tmp
end
function tmp = code(x, y, z, t)
tmp = x + ((y - x) * (z / t));
end
↓
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if ((z / t) <= -Inf)
tmp = z * ((y / t) - (x / t));
else
tmp = x + ((y - x) * (z / t));
end
tmp_2 = tmp;
end
code[x_, y_, z_, t_] := N[(x + N[(N[(y - x), $MachinePrecision] * N[(z / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_] := If[LessEqual[N[(z / t), $MachinePrecision], (-Infinity)], N[(z * N[(N[(y / t), $MachinePrecision] - N[(x / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(x + N[(N[(y - x), $MachinePrecision] * N[(z / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
x + \left(y - x\right) \cdot \frac{z}{t}
↓
\begin{array}{l}
\mathbf{if}\;\frac{z}{t} \leq -\infty:\\
\;\;\;\;z \cdot \left(\frac{y}{t} - \frac{x}{t}\right)\\
\mathbf{else}:\\
\;\;\;\;x + \left(y - x\right) \cdot \frac{z}{t}\\
\end{array}
Alternatives Alternative 1 Error 23.5 Cost 1944
\[\begin{array}{l}
t_1 := y \cdot \frac{z}{t}\\
t_2 := -\frac{z}{\frac{t}{x}}\\
\mathbf{if}\;\frac{z}{t} \leq -5 \cdot 10^{+14}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;\frac{z}{t} \leq -2 \cdot 10^{-25}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;\frac{z}{t} \leq 6 \cdot 10^{-104}:\\
\;\;\;\;x\\
\mathbf{elif}\;\frac{z}{t} \leq 10^{-43}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;\frac{z}{t} \leq 5 \cdot 10^{-25}:\\
\;\;\;\;x\\
\mathbf{elif}\;\frac{z}{t} \leq 5 \cdot 10^{+27}:\\
\;\;\;\;\frac{y}{\frac{t}{z}}\\
\mathbf{else}:\\
\;\;\;\;t_2\\
\end{array}
\]
Alternative 2 Error 23.5 Cost 1944
\[\begin{array}{l}
t_1 := y \cdot \frac{z}{t}\\
\mathbf{if}\;\frac{z}{t} \leq -5 \cdot 10^{+14}:\\
\;\;\;\;-\frac{z}{\frac{t}{x}}\\
\mathbf{elif}\;\frac{z}{t} \leq -2 \cdot 10^{-25}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;\frac{z}{t} \leq 6 \cdot 10^{-104}:\\
\;\;\;\;x\\
\mathbf{elif}\;\frac{z}{t} \leq 10^{-43}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;\frac{z}{t} \leq 5 \cdot 10^{-25}:\\
\;\;\;\;x\\
\mathbf{elif}\;\frac{z}{t} \leq 5 \cdot 10^{+27}:\\
\;\;\;\;\frac{y}{\frac{t}{z}}\\
\mathbf{else}:\\
\;\;\;\;z \cdot \frac{-x}{t}\\
\end{array}
\]
Alternative 3 Error 13.3 Cost 1488
\[\begin{array}{l}
t_1 := \left(y - x\right) \cdot \frac{z}{t}\\
\mathbf{if}\;\frac{z}{t} \leq -2 \cdot 10^{-25}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;\frac{z}{t} \leq 6 \cdot 10^{-104}:\\
\;\;\;\;x\\
\mathbf{elif}\;\frac{z}{t} \leq 10^{-43}:\\
\;\;\;\;y \cdot \frac{z}{t}\\
\mathbf{elif}\;\frac{z}{t} \leq 5 \cdot 10^{-25}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 4 Error 23.1 Cost 1362
\[\begin{array}{l}
\mathbf{if}\;\frac{z}{t} \leq -2 \cdot 10^{-25} \lor \neg \left(\frac{z}{t} \leq 6 \cdot 10^{-104} \lor \neg \left(\frac{z}{t} \leq 10^{-43}\right) \land \frac{z}{t} \leq 5 \cdot 10^{-25}\right):\\
\;\;\;\;y \cdot \frac{z}{t}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 5 Error 23.0 Cost 1360
\[\begin{array}{l}
t_1 := \frac{y}{\frac{t}{z}}\\
\mathbf{if}\;\frac{z}{t} \leq -2 \cdot 10^{-25}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;\frac{z}{t} \leq 6 \cdot 10^{-104}:\\
\;\;\;\;x\\
\mathbf{elif}\;\frac{z}{t} \leq 10^{-43}:\\
\;\;\;\;y \cdot \frac{z}{t}\\
\mathbf{elif}\;\frac{z}{t} \leq 5 \cdot 10^{-25}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 6 Error 23.7 Cost 1360
\[\begin{array}{l}
\mathbf{if}\;\frac{z}{t} \leq -2 \cdot 10^{-25}:\\
\;\;\;\;\frac{z}{\frac{t}{y}}\\
\mathbf{elif}\;\frac{z}{t} \leq 6 \cdot 10^{-104}:\\
\;\;\;\;x\\
\mathbf{elif}\;\frac{z}{t} \leq 10^{-43}:\\
\;\;\;\;y \cdot \frac{z}{t}\\
\mathbf{elif}\;\frac{z}{t} \leq 5 \cdot 10^{-25}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;\frac{y}{\frac{t}{z}}\\
\end{array}
\]
Alternative 7 Error 2.8 Cost 969
\[\begin{array}{l}
\mathbf{if}\;\frac{z}{t} \leq -2 \lor \neg \left(\frac{z}{t} \leq 0.0005\right):\\
\;\;\;\;\left(y - x\right) \cdot \frac{z}{t}\\
\mathbf{else}:\\
\;\;\;\;x + y \cdot \frac{z}{t}\\
\end{array}
\]
Alternative 8 Error 3.7 Cost 968
\[\begin{array}{l}
\mathbf{if}\;\frac{z}{t} \leq -5000000:\\
\;\;\;\;z \cdot \left(\frac{y}{t} - \frac{x}{t}\right)\\
\mathbf{elif}\;\frac{z}{t} \leq 0.0005:\\
\;\;\;\;x + y \cdot \frac{z}{t}\\
\mathbf{else}:\\
\;\;\;\;\left(y - x\right) \cdot \frac{z}{t}\\
\end{array}
\]
Alternative 9 Error 1.9 Cost 576
\[x + \frac{y - x}{\frac{t}{z}}
\]
Alternative 10 Error 32.0 Cost 64
\[x
\]