| Alternative 1 | |
|---|---|
| Error | 0.1 |
| Cost | 832 |
\[\left(1 - m\right) \cdot \left(\frac{m}{v} \cdot \left(1 - m\right) + -1\right)
\]
(FPCore (m v) :precision binary64 (* (- (/ (* m (- 1.0 m)) v) 1.0) (- 1.0 m)))
(FPCore (m v) :precision binary64 (if (<= m 1.648114941356343e-32) (+ (/ m v) -1.0) (/ (- (* m m) m) (/ v (+ m -1.0)))))
double code(double m, double v) {
return (((m * (1.0 - m)) / v) - 1.0) * (1.0 - m);
}
double code(double m, double v) {
double tmp;
if (m <= 1.648114941356343e-32) {
tmp = (m / v) + -1.0;
} else {
tmp = ((m * m) - m) / (v / (m + -1.0));
}
return tmp;
}
real(8) function code(m, v)
real(8), intent (in) :: m
real(8), intent (in) :: v
code = (((m * (1.0d0 - m)) / v) - 1.0d0) * (1.0d0 - m)
end function
real(8) function code(m, v)
real(8), intent (in) :: m
real(8), intent (in) :: v
real(8) :: tmp
if (m <= 1.648114941356343d-32) then
tmp = (m / v) + (-1.0d0)
else
tmp = ((m * m) - m) / (v / (m + (-1.0d0)))
end if
code = tmp
end function
public static double code(double m, double v) {
return (((m * (1.0 - m)) / v) - 1.0) * (1.0 - m);
}
public static double code(double m, double v) {
double tmp;
if (m <= 1.648114941356343e-32) {
tmp = (m / v) + -1.0;
} else {
tmp = ((m * m) - m) / (v / (m + -1.0));
}
return tmp;
}
def code(m, v): return (((m * (1.0 - m)) / v) - 1.0) * (1.0 - m)
def code(m, v): tmp = 0 if m <= 1.648114941356343e-32: tmp = (m / v) + -1.0 else: tmp = ((m * m) - m) / (v / (m + -1.0)) return tmp
function code(m, v) return Float64(Float64(Float64(Float64(m * Float64(1.0 - m)) / v) - 1.0) * Float64(1.0 - m)) end
function code(m, v) tmp = 0.0 if (m <= 1.648114941356343e-32) tmp = Float64(Float64(m / v) + -1.0); else tmp = Float64(Float64(Float64(m * m) - m) / Float64(v / Float64(m + -1.0))); end return tmp end
function tmp = code(m, v) tmp = (((m * (1.0 - m)) / v) - 1.0) * (1.0 - m); end
function tmp_2 = code(m, v) tmp = 0.0; if (m <= 1.648114941356343e-32) tmp = (m / v) + -1.0; else tmp = ((m * m) - m) / (v / (m + -1.0)); end tmp_2 = tmp; end
code[m_, v_] := N[(N[(N[(N[(m * N[(1.0 - m), $MachinePrecision]), $MachinePrecision] / v), $MachinePrecision] - 1.0), $MachinePrecision] * N[(1.0 - m), $MachinePrecision]), $MachinePrecision]
code[m_, v_] := If[LessEqual[m, 1.648114941356343e-32], N[(N[(m / v), $MachinePrecision] + -1.0), $MachinePrecision], N[(N[(N[(m * m), $MachinePrecision] - m), $MachinePrecision] / N[(v / N[(m + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\left(\frac{m \cdot \left(1 - m\right)}{v} - 1\right) \cdot \left(1 - m\right)
\begin{array}{l}
\mathbf{if}\;m \leq 1.648114941356343 \cdot 10^{-32}:\\
\;\;\;\;\frac{m}{v} + -1\\
\mathbf{else}:\\
\;\;\;\;\frac{m \cdot m - m}{\frac{v}{m + -1}}\\
\end{array}
Results
if m < 1.64811494135634304e-32Initial program 0.0
Taylor expanded in m around 0 0.1
Taylor expanded in v around 0 0.0
if 1.64811494135634304e-32 < m Initial program 0.3
Taylor expanded in m around 0 0.3
Simplified0.3
Taylor expanded in v around 0 2.3
Simplified2.4
Final simplification0.5
| Alternative 1 | |
|---|---|
| Error | 0.1 |
| Cost | 832 |
| Alternative 2 | |
|---|---|
| Error | 0.2 |
| Cost | 832 |
| Alternative 3 | |
|---|---|
| Error | 0.1 |
| Cost | 832 |
| Alternative 4 | |
|---|---|
| Error | 1.8 |
| Cost | 708 |
| Alternative 5 | |
|---|---|
| Error | 1.7 |
| Cost | 708 |
| Alternative 6 | |
|---|---|
| Error | 24.8 |
| Cost | 588 |
| Alternative 7 | |
|---|---|
| Error | 9.6 |
| Cost | 448 |
| Alternative 8 | |
|---|---|
| Error | 9.6 |
| Cost | 320 |
| Alternative 9 | |
|---|---|
| Error | 36.7 |
| Cost | 64 |

herbie shell --seed 2022297
(FPCore (m v)
:name "b parameter of renormalized beta distribution"
:precision binary64
:pre (and (and (< 0.0 m) (< 0.0 v)) (< v 0.25))
(* (- (/ (* m (- 1.0 m)) v) 1.0) (- 1.0 m)))