\[\left(1 - \frac{1}{x \cdot 9}\right) - \frac{y}{3 \cdot \sqrt{x}}
\]
↓
\[1 + \left(\frac{-1}{x \cdot 9} - \sqrt{\frac{0.1111111111111111}{x}} \cdot y\right)
\]
(FPCore (x y)
:precision binary64
(- (- 1.0 (/ 1.0 (* x 9.0))) (/ y (* 3.0 (sqrt x)))))
↓
(FPCore (x y)
:precision binary64
(+ 1.0 (- (/ -1.0 (* x 9.0)) (* (sqrt (/ 0.1111111111111111 x)) y))))
double code(double x, double y) {
return (1.0 - (1.0 / (x * 9.0))) - (y / (3.0 * sqrt(x)));
}
↓
double code(double x, double y) {
return 1.0 + ((-1.0 / (x * 9.0)) - (sqrt((0.1111111111111111 / x)) * y));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (1.0d0 - (1.0d0 / (x * 9.0d0))) - (y / (3.0d0 * sqrt(x)))
end function
↓
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 1.0d0 + (((-1.0d0) / (x * 9.0d0)) - (sqrt((0.1111111111111111d0 / x)) * y))
end function
public static double code(double x, double y) {
return (1.0 - (1.0 / (x * 9.0))) - (y / (3.0 * Math.sqrt(x)));
}
↓
public static double code(double x, double y) {
return 1.0 + ((-1.0 / (x * 9.0)) - (Math.sqrt((0.1111111111111111 / x)) * y));
}
def code(x, y):
return (1.0 - (1.0 / (x * 9.0))) - (y / (3.0 * math.sqrt(x)))
↓
def code(x, y):
return 1.0 + ((-1.0 / (x * 9.0)) - (math.sqrt((0.1111111111111111 / x)) * y))
function code(x, y)
return Float64(Float64(1.0 - Float64(1.0 / Float64(x * 9.0))) - Float64(y / Float64(3.0 * sqrt(x))))
end
↓
function code(x, y)
return Float64(1.0 + Float64(Float64(-1.0 / Float64(x * 9.0)) - Float64(sqrt(Float64(0.1111111111111111 / x)) * y)))
end
function tmp = code(x, y)
tmp = (1.0 - (1.0 / (x * 9.0))) - (y / (3.0 * sqrt(x)));
end
↓
function tmp = code(x, y)
tmp = 1.0 + ((-1.0 / (x * 9.0)) - (sqrt((0.1111111111111111 / x)) * y));
end
code[x_, y_] := N[(N[(1.0 - N[(1.0 / N[(x * 9.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(y / N[(3.0 * N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(1.0 + N[(N[(-1.0 / N[(x * 9.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[N[(0.1111111111111111 / x), $MachinePrecision]], $MachinePrecision] * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\left(1 - \frac{1}{x \cdot 9}\right) - \frac{y}{3 \cdot \sqrt{x}}
↓
1 + \left(\frac{-1}{x \cdot 9} - \sqrt{\frac{0.1111111111111111}{x}} \cdot y\right)
Alternatives
| Alternative 1 |
|---|
| Error | 3.8 |
|---|
| Cost | 7113 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.7 \cdot 10^{+93} \lor \neg \left(y \leq 4 \cdot 10^{+32}\right):\\
\;\;\;\;1 - \sqrt{\frac{0.1111111111111111}{x}} \cdot y\\
\mathbf{else}:\\
\;\;\;\;1 - {\left(x \cdot 9\right)}^{-1}\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 5.0 |
|---|
| Cost | 7112 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.7 \cdot 10^{+93}:\\
\;\;\;\;\frac{y}{\sqrt{x} \cdot -3}\\
\mathbf{elif}\;y \leq 7.5 \cdot 10^{+98}:\\
\;\;\;\;1 - {\left(x \cdot 9\right)}^{-1}\\
\mathbf{else}:\\
\;\;\;\;\left(y \cdot -0.3333333333333333\right) \cdot \sqrt{\frac{1}{x}}\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 3.8 |
|---|
| Cost | 7112 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.7 \cdot 10^{+93}:\\
\;\;\;\;1 - \frac{y}{\sqrt{x \cdot 9}}\\
\mathbf{elif}\;y \leq 6.2 \cdot 10^{+31}:\\
\;\;\;\;1 - {\left(x \cdot 9\right)}^{-1}\\
\mathbf{else}:\\
\;\;\;\;1 - \sqrt{\frac{0.1111111111111111}{x}} \cdot y\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 0.2 |
|---|
| Cost | 7104 |
|---|
\[1 + \left(\frac{-0.1111111111111111}{x} - \frac{\frac{y}{3}}{\sqrt{x}}\right)
\]
| Alternative 5 |
|---|
| Error | 0.2 |
|---|
| Cost | 7104 |
|---|
\[\left(1 + \frac{-0.1111111111111111}{x}\right) - \frac{y}{\sqrt{x \cdot 9}}
\]
| Alternative 6 |
|---|
| Error | 5.0 |
|---|
| Cost | 7048 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.7 \cdot 10^{+93}:\\
\;\;\;\;\frac{y}{\sqrt{x} \cdot -3}\\
\mathbf{elif}\;y \leq 10^{+99}:\\
\;\;\;\;1 + \frac{-0.1111111111111111}{x}\\
\mathbf{else}:\\
\;\;\;\;\left(y \cdot -0.3333333333333333\right) \cdot {x}^{-0.5}\\
\end{array}
\]
| Alternative 7 |
|---|
| Error | 5.0 |
|---|
| Cost | 7048 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.7 \cdot 10^{+93}:\\
\;\;\;\;\frac{y}{\sqrt{x} \cdot -3}\\
\mathbf{elif}\;y \leq 6 \cdot 10^{+98}:\\
\;\;\;\;1 - {\left(x \cdot 9\right)}^{-1}\\
\mathbf{else}:\\
\;\;\;\;\left(y \cdot -0.3333333333333333\right) \cdot {x}^{-0.5}\\
\end{array}
\]
| Alternative 8 |
|---|
| Error | 5.1 |
|---|
| Cost | 6985 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.85 \cdot 10^{+93} \lor \neg \left(y \leq 1.9 \cdot 10^{+99}\right):\\
\;\;\;\;y \cdot \frac{-0.3333333333333333}{\sqrt{x}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-0.1111111111111111}{x}\\
\end{array}
\]
| Alternative 9 |
|---|
| Error | 5.0 |
|---|
| Cost | 6985 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.7 \cdot 10^{+93} \lor \neg \left(y \leq 6.2 \cdot 10^{+98}\right):\\
\;\;\;\;\frac{y}{\sqrt{x} \cdot -3}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-0.1111111111111111}{x}\\
\end{array}
\]
| Alternative 10 |
|---|
| Error | 5.0 |
|---|
| Cost | 6984 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.9 \cdot 10^{+93}:\\
\;\;\;\;\frac{y}{\sqrt{x} \cdot -3}\\
\mathbf{elif}\;y \leq 10^{+99}:\\
\;\;\;\;1 + \frac{-0.1111111111111111}{x}\\
\mathbf{else}:\\
\;\;\;\;\frac{y \cdot -0.3333333333333333}{\sqrt{x}}\\
\end{array}
\]
| Alternative 11 |
|---|
| Error | 22.1 |
|---|
| Cost | 324 |
|---|
\[\begin{array}{l}
\mathbf{if}\;x \leq 17200000000000:\\
\;\;\;\;\frac{-0.1111111111111111}{x}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
| Alternative 12 |
|---|
| Error | 21.1 |
|---|
| Cost | 320 |
|---|
\[1 + \frac{-0.1111111111111111}{x}
\]
| Alternative 13 |
|---|
| Error | 42.2 |
|---|
| Cost | 64 |
|---|
\[1
\]