\[\left(0 < m \land 0 < v\right) \land v < 0.25\]
\[\left(\frac{m \cdot \left(1 - m\right)}{v} - 1\right) \cdot m
\]
↓
\[m \cdot \left(\frac{m}{v} \cdot \left(1 - m\right) + -1\right)
\]
(FPCore (m v) :precision binary64 (* (- (/ (* m (- 1.0 m)) v) 1.0) m))
↓
(FPCore (m v) :precision binary64 (* m (+ (* (/ m v) (- 1.0 m)) -1.0)))
double code(double m, double v) {
return (((m * (1.0 - m)) / v) - 1.0) * m;
}
↓
double code(double m, double v) {
return m * (((m / v) * (1.0 - m)) + -1.0);
}
real(8) function code(m, v)
real(8), intent (in) :: m
real(8), intent (in) :: v
code = (((m * (1.0d0 - m)) / v) - 1.0d0) * m
end function
↓
real(8) function code(m, v)
real(8), intent (in) :: m
real(8), intent (in) :: v
code = m * (((m / v) * (1.0d0 - m)) + (-1.0d0))
end function
public static double code(double m, double v) {
return (((m * (1.0 - m)) / v) - 1.0) * m;
}
↓
public static double code(double m, double v) {
return m * (((m / v) * (1.0 - m)) + -1.0);
}
def code(m, v):
return (((m * (1.0 - m)) / v) - 1.0) * m
↓
def code(m, v):
return m * (((m / v) * (1.0 - m)) + -1.0)
function code(m, v)
return Float64(Float64(Float64(Float64(m * Float64(1.0 - m)) / v) - 1.0) * m)
end
↓
function code(m, v)
return Float64(m * Float64(Float64(Float64(m / v) * Float64(1.0 - m)) + -1.0))
end
function tmp = code(m, v)
tmp = (((m * (1.0 - m)) / v) - 1.0) * m;
end
↓
function tmp = code(m, v)
tmp = m * (((m / v) * (1.0 - m)) + -1.0);
end
code[m_, v_] := N[(N[(N[(N[(m * N[(1.0 - m), $MachinePrecision]), $MachinePrecision] / v), $MachinePrecision] - 1.0), $MachinePrecision] * m), $MachinePrecision]
↓
code[m_, v_] := N[(m * N[(N[(N[(m / v), $MachinePrecision] * N[(1.0 - m), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]
\left(\frac{m \cdot \left(1 - m\right)}{v} - 1\right) \cdot m
↓
m \cdot \left(\frac{m}{v} \cdot \left(1 - m\right) + -1\right)
Alternatives
| Alternative 1 |
|---|
| Error | 24.7 |
|---|
| Cost | 717 |
|---|
\[\begin{array}{l}
\mathbf{if}\;v \leq 3.5 \cdot 10^{-160} \lor \neg \left(v \leq 6.5 \cdot 10^{-121}\right) \land v \leq 2.2 \cdot 10^{-111}:\\
\;\;\;\;m \cdot \frac{m}{v}\\
\mathbf{else}:\\
\;\;\;\;-m\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 24.7 |
|---|
| Cost | 716 |
|---|
\[\begin{array}{l}
\mathbf{if}\;v \leq 3.8 \cdot 10^{-160}:\\
\;\;\;\;m \cdot \frac{m}{v}\\
\mathbf{elif}\;v \leq 4.2 \cdot 10^{-121}:\\
\;\;\;\;-m\\
\mathbf{elif}\;v \leq 1.35 \cdot 10^{-111}:\\
\;\;\;\;\frac{m \cdot m}{v}\\
\mathbf{else}:\\
\;\;\;\;-m\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 0.3 |
|---|
| Cost | 708 |
|---|
\[\begin{array}{l}
\mathbf{if}\;m \leq 4 \cdot 10^{-19}:\\
\;\;\;\;m \cdot \frac{m}{v} - m\\
\mathbf{else}:\\
\;\;\;\;m \cdot \left(\frac{m}{v} \cdot \left(1 - m\right)\right)\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 0.3 |
|---|
| Cost | 708 |
|---|
\[\begin{array}{l}
\mathbf{if}\;m \leq 1.95 \cdot 10^{-18}:\\
\;\;\;\;m \cdot \frac{m}{v} - m\\
\mathbf{else}:\\
\;\;\;\;\frac{m \cdot m}{\frac{v}{1 - m}}\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 2.5 |
|---|
| Cost | 644 |
|---|
\[\begin{array}{l}
\mathbf{if}\;m \leq 1:\\
\;\;\;\;m \cdot \frac{m}{v} - m\\
\mathbf{else}:\\
\;\;\;\;m \cdot \left(m \cdot \frac{m}{-v}\right)\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 2.5 |
|---|
| Cost | 644 |
|---|
\[\begin{array}{l}
\mathbf{if}\;m \leq 1:\\
\;\;\;\;m \cdot \frac{m}{v} - m\\
\mathbf{else}:\\
\;\;\;\;\frac{m}{\frac{-v}{m \cdot m}}\\
\end{array}
\]
| Alternative 7 |
|---|
| Error | 10.4 |
|---|
| Cost | 448 |
|---|
\[m \cdot \left(\frac{m}{v} + -1\right)
\]
| Alternative 8 |
|---|
| Error | 10.4 |
|---|
| Cost | 448 |
|---|
\[m \cdot \frac{m}{v} - m
\]
| Alternative 9 |
|---|
| Error | 36.4 |
|---|
| Cost | 128 |
|---|
\[-m
\]