| Alternative 1 | |
|---|---|
| Error | 0.3 |
| Cost | 8000 |
\[\left(\left(3 + \frac{2}{r \cdot r}\right) - \left(r \cdot w\right) \cdot \left(\frac{\mathsf{fma}\left(v, -0.25, 0.375\right)}{1 - v} \cdot \left(r \cdot w\right)\right)\right) + -4.5
\]
(FPCore (v w r) :precision binary64 (- (- (+ 3.0 (/ 2.0 (* r r))) (/ (* (* 0.125 (- 3.0 (* 2.0 v))) (* (* (* w w) r) r)) (- 1.0 v))) 4.5))
(FPCore (v w r)
:precision binary64
(let* ((t_0 (* r (* w (* r w))))
(t_1 (* (* r w) (/ r (/ (- 1.0 v) w))))
(t_2 (/ 2.0 (* r r)))
(t_3 (+ 3.0 t_2)))
(if (<= r -1e+54)
(+ -4.5 (+ t_3 (* t_0 (/ (- -0.375 (* v -0.25)) (- 1.0 v)))))
(if (<= r 1.26e+129)
(+ t_2 (- -1.5 (+ (* 0.375 t_1) (* (* v -0.25) t_1))))
(+ -4.5 (+ t_3 (/ (* 0.125 (+ -3.0 (* 2.0 v))) (/ (- 1.0 v) t_0))))))))double code(double v, double w, double r) {
return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5;
}
double code(double v, double w, double r) {
double t_0 = r * (w * (r * w));
double t_1 = (r * w) * (r / ((1.0 - v) / w));
double t_2 = 2.0 / (r * r);
double t_3 = 3.0 + t_2;
double tmp;
if (r <= -1e+54) {
tmp = -4.5 + (t_3 + (t_0 * ((-0.375 - (v * -0.25)) / (1.0 - v))));
} else if (r <= 1.26e+129) {
tmp = t_2 + (-1.5 - ((0.375 * t_1) + ((v * -0.25) * t_1)));
} else {
tmp = -4.5 + (t_3 + ((0.125 * (-3.0 + (2.0 * v))) / ((1.0 - v) / t_0)));
}
return tmp;
}
real(8) function code(v, w, r)
real(8), intent (in) :: v
real(8), intent (in) :: w
real(8), intent (in) :: r
code = ((3.0d0 + (2.0d0 / (r * r))) - (((0.125d0 * (3.0d0 - (2.0d0 * v))) * (((w * w) * r) * r)) / (1.0d0 - v))) - 4.5d0
end function
real(8) function code(v, w, r)
real(8), intent (in) :: v
real(8), intent (in) :: w
real(8), intent (in) :: r
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = r * (w * (r * w))
t_1 = (r * w) * (r / ((1.0d0 - v) / w))
t_2 = 2.0d0 / (r * r)
t_3 = 3.0d0 + t_2
if (r <= (-1d+54)) then
tmp = (-4.5d0) + (t_3 + (t_0 * (((-0.375d0) - (v * (-0.25d0))) / (1.0d0 - v))))
else if (r <= 1.26d+129) then
tmp = t_2 + ((-1.5d0) - ((0.375d0 * t_1) + ((v * (-0.25d0)) * t_1)))
else
tmp = (-4.5d0) + (t_3 + ((0.125d0 * ((-3.0d0) + (2.0d0 * v))) / ((1.0d0 - v) / t_0)))
end if
code = tmp
end function
public static double code(double v, double w, double r) {
return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5;
}
public static double code(double v, double w, double r) {
double t_0 = r * (w * (r * w));
double t_1 = (r * w) * (r / ((1.0 - v) / w));
double t_2 = 2.0 / (r * r);
double t_3 = 3.0 + t_2;
double tmp;
if (r <= -1e+54) {
tmp = -4.5 + (t_3 + (t_0 * ((-0.375 - (v * -0.25)) / (1.0 - v))));
} else if (r <= 1.26e+129) {
tmp = t_2 + (-1.5 - ((0.375 * t_1) + ((v * -0.25) * t_1)));
} else {
tmp = -4.5 + (t_3 + ((0.125 * (-3.0 + (2.0 * v))) / ((1.0 - v) / t_0)));
}
return tmp;
}
def code(v, w, r): return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5
def code(v, w, r): t_0 = r * (w * (r * w)) t_1 = (r * w) * (r / ((1.0 - v) / w)) t_2 = 2.0 / (r * r) t_3 = 3.0 + t_2 tmp = 0 if r <= -1e+54: tmp = -4.5 + (t_3 + (t_0 * ((-0.375 - (v * -0.25)) / (1.0 - v)))) elif r <= 1.26e+129: tmp = t_2 + (-1.5 - ((0.375 * t_1) + ((v * -0.25) * t_1))) else: tmp = -4.5 + (t_3 + ((0.125 * (-3.0 + (2.0 * v))) / ((1.0 - v) / t_0))) return tmp
function code(v, w, r) return Float64(Float64(Float64(3.0 + Float64(2.0 / Float64(r * r))) - Float64(Float64(Float64(0.125 * Float64(3.0 - Float64(2.0 * v))) * Float64(Float64(Float64(w * w) * r) * r)) / Float64(1.0 - v))) - 4.5) end
function code(v, w, r) t_0 = Float64(r * Float64(w * Float64(r * w))) t_1 = Float64(Float64(r * w) * Float64(r / Float64(Float64(1.0 - v) / w))) t_2 = Float64(2.0 / Float64(r * r)) t_3 = Float64(3.0 + t_2) tmp = 0.0 if (r <= -1e+54) tmp = Float64(-4.5 + Float64(t_3 + Float64(t_0 * Float64(Float64(-0.375 - Float64(v * -0.25)) / Float64(1.0 - v))))); elseif (r <= 1.26e+129) tmp = Float64(t_2 + Float64(-1.5 - Float64(Float64(0.375 * t_1) + Float64(Float64(v * -0.25) * t_1)))); else tmp = Float64(-4.5 + Float64(t_3 + Float64(Float64(0.125 * Float64(-3.0 + Float64(2.0 * v))) / Float64(Float64(1.0 - v) / t_0)))); end return tmp end
function tmp = code(v, w, r) tmp = ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5; end
function tmp_2 = code(v, w, r) t_0 = r * (w * (r * w)); t_1 = (r * w) * (r / ((1.0 - v) / w)); t_2 = 2.0 / (r * r); t_3 = 3.0 + t_2; tmp = 0.0; if (r <= -1e+54) tmp = -4.5 + (t_3 + (t_0 * ((-0.375 - (v * -0.25)) / (1.0 - v)))); elseif (r <= 1.26e+129) tmp = t_2 + (-1.5 - ((0.375 * t_1) + ((v * -0.25) * t_1))); else tmp = -4.5 + (t_3 + ((0.125 * (-3.0 + (2.0 * v))) / ((1.0 - v) / t_0))); end tmp_2 = tmp; end
code[v_, w_, r_] := N[(N[(N[(3.0 + N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(0.125 * N[(3.0 - N[(2.0 * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(w * w), $MachinePrecision] * r), $MachinePrecision] * r), $MachinePrecision]), $MachinePrecision] / N[(1.0 - v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 4.5), $MachinePrecision]
code[v_, w_, r_] := Block[{t$95$0 = N[(r * N[(w * N[(r * w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(r * w), $MachinePrecision] * N[(r / N[(N[(1.0 - v), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(3.0 + t$95$2), $MachinePrecision]}, If[LessEqual[r, -1e+54], N[(-4.5 + N[(t$95$3 + N[(t$95$0 * N[(N[(-0.375 - N[(v * -0.25), $MachinePrecision]), $MachinePrecision] / N[(1.0 - v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[r, 1.26e+129], N[(t$95$2 + N[(-1.5 - N[(N[(0.375 * t$95$1), $MachinePrecision] + N[(N[(v * -0.25), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-4.5 + N[(t$95$3 + N[(N[(0.125 * N[(-3.0 + N[(2.0 * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 - v), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5
\begin{array}{l}
t_0 := r \cdot \left(w \cdot \left(r \cdot w\right)\right)\\
t_1 := \left(r \cdot w\right) \cdot \frac{r}{\frac{1 - v}{w}}\\
t_2 := \frac{2}{r \cdot r}\\
t_3 := 3 + t_2\\
\mathbf{if}\;r \leq -1 \cdot 10^{+54}:\\
\;\;\;\;-4.5 + \left(t_3 + t_0 \cdot \frac{-0.375 - v \cdot -0.25}{1 - v}\right)\\
\mathbf{elif}\;r \leq 1.26 \cdot 10^{+129}:\\
\;\;\;\;t_2 + \left(-1.5 - \left(0.375 \cdot t_1 + \left(v \cdot -0.25\right) \cdot t_1\right)\right)\\
\mathbf{else}:\\
\;\;\;\;-4.5 + \left(t_3 + \frac{0.125 \cdot \left(-3 + 2 \cdot v\right)}{\frac{1 - v}{t_0}}\right)\\
\end{array}
Results
if r < -1.0000000000000001e54Initial program 16.2
Simplified9.6
Taylor expanded in v around 0 9.6
Taylor expanded in r around 0 9.6
Simplified0.3
if -1.0000000000000001e54 < r < 1.26e129Initial program 9.0
Simplified6.6
Applied egg-rr0.3
Applied egg-rr0.5
if 1.26e129 < r Initial program 23.9
Simplified16.2
Taylor expanded in r around 0 16.2
Simplified0.6
Final simplification0.4
| Alternative 1 | |
|---|---|
| Error | 0.3 |
| Cost | 8000 |
| Alternative 2 | |
|---|---|
| Error | 0.3 |
| Cost | 2368 |
| Alternative 3 | |
|---|---|
| Error | 0.5 |
| Cost | 1992 |
| Alternative 4 | |
|---|---|
| Error | 1.3 |
| Cost | 1736 |
| Alternative 5 | |
|---|---|
| Error | 0.8 |
| Cost | 1736 |
| Alternative 6 | |
|---|---|
| Error | 2.3 |
| Cost | 1728 |
| Alternative 7 | |
|---|---|
| Error | 15.8 |
| Cost | 1616 |
| Alternative 8 | |
|---|---|
| Error | 15.8 |
| Cost | 1616 |
| Alternative 9 | |
|---|---|
| Error | 8.9 |
| Cost | 1616 |
| Alternative 10 | |
|---|---|
| Error | 18.2 |
| Cost | 1480 |
| Alternative 11 | |
|---|---|
| Error | 1.3 |
| Cost | 1480 |
| Alternative 12 | |
|---|---|
| Error | 1.3 |
| Cost | 1352 |
| Alternative 13 | |
|---|---|
| Error | 20.8 |
| Cost | 448 |
| Alternative 14 | |
|---|---|
| Error | 20.8 |
| Cost | 448 |
herbie shell --seed 2022329
(FPCore (v w r)
:name "Rosa's TurbineBenchmark"
:precision binary64
(- (- (+ 3.0 (/ 2.0 (* r r))) (/ (* (* 0.125 (- 3.0 (* 2.0 v))) (* (* (* w w) r) r)) (- 1.0 v))) 4.5))