| Alternative 1 | |
|---|---|
| Accuracy | 99.6% |
| Cost | 26696 |

(FPCore (F B x) :precision binary64 (+ (- (* x (/ 1.0 (tan B)))) (* (/ F (sin B)) (pow (+ (+ (* F F) 2.0) (* 2.0 x)) (- (/ 1.0 2.0))))))
(FPCore (F B x)
:precision binary64
(let* ((t_0 (/ x (tan B))))
(if (<= F -9.5e+95)
(+ (/ -1.0 (/ (tan B) x)) (/ -1.0 (sin B)))
(if (<= F 105000000.0)
(- (* F (/ (sqrt (/ 1.0 (fma F F 2.0))) (sin B))) t_0)
(- (/ 1.0 (sin B)) t_0)))))double code(double F, double B, double x) {
return -(x * (1.0 / tan(B))) + ((F / sin(B)) * pow((((F * F) + 2.0) + (2.0 * x)), -(1.0 / 2.0)));
}
double code(double F, double B, double x) {
double t_0 = x / tan(B);
double tmp;
if (F <= -9.5e+95) {
tmp = (-1.0 / (tan(B) / x)) + (-1.0 / sin(B));
} else if (F <= 105000000.0) {
tmp = (F * (sqrt((1.0 / fma(F, F, 2.0))) / sin(B))) - t_0;
} else {
tmp = (1.0 / sin(B)) - t_0;
}
return tmp;
}
function code(F, B, x) return Float64(Float64(-Float64(x * Float64(1.0 / tan(B)))) + Float64(Float64(F / sin(B)) * (Float64(Float64(Float64(F * F) + 2.0) + Float64(2.0 * x)) ^ Float64(-Float64(1.0 / 2.0))))) end
function code(F, B, x) t_0 = Float64(x / tan(B)) tmp = 0.0 if (F <= -9.5e+95) tmp = Float64(Float64(-1.0 / Float64(tan(B) / x)) + Float64(-1.0 / sin(B))); elseif (F <= 105000000.0) tmp = Float64(Float64(F * Float64(sqrt(Float64(1.0 / fma(F, F, 2.0))) / sin(B))) - t_0); else tmp = Float64(Float64(1.0 / sin(B)) - t_0); end return tmp end
code[F_, B_, x_] := N[((-N[(x * N[(1.0 / N[Tan[B], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]) + N[(N[(F / N[Sin[B], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(N[(F * F), $MachinePrecision] + 2.0), $MachinePrecision] + N[(2.0 * x), $MachinePrecision]), $MachinePrecision], (-N[(1.0 / 2.0), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[F_, B_, x_] := Block[{t$95$0 = N[(x / N[Tan[B], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[F, -9.5e+95], N[(N[(-1.0 / N[(N[Tan[B], $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(-1.0 / N[Sin[B], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[F, 105000000.0], N[(N[(F * N[(N[Sqrt[N[(1.0 / N[(F * F + 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sin[B], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision], N[(N[(1.0 / N[Sin[B], $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]]]]
\left(-x \cdot \frac{1}{\tan B}\right) + \frac{F}{\sin B} \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}
\begin{array}{l}
t_0 := \frac{x}{\tan B}\\
\mathbf{if}\;F \leq -9.5 \cdot 10^{+95}:\\
\;\;\;\;\frac{-1}{\frac{\tan B}{x}} + \frac{-1}{\sin B}\\
\mathbf{elif}\;F \leq 105000000:\\
\;\;\;\;F \cdot \frac{\sqrt{\frac{1}{\mathsf{fma}\left(F, F, 2\right)}}}{\sin B} - t_0\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{\sin B} - t_0\\
\end{array}
Herbie found 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
if F < -9.5000000000000004e95Initial program 42.5%
Taylor expanded in F around -inf 99.8%
Applied egg-rr99.9%
[Start]99.8% | \[ \left(-x \cdot \frac{1}{\tan B}\right) + \frac{-1}{\sin B}
\] |
|---|---|
div-inv [<=]99.9% | \[ \left(-\color{blue}{\frac{x}{\tan B}}\right) + \frac{-1}{\sin B}
\] |
clear-num [=>]99.9% | \[ \left(-\color{blue}{\frac{1}{\frac{\tan B}{x}}}\right) + \frac{-1}{\sin B}
\] |
if -9.5000000000000004e95 < F < 1.05e8Initial program 99.5%
Simplified99.7%
[Start]99.5% | \[ \left(-x \cdot \frac{1}{\tan B}\right) + \frac{F}{\sin B} \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}
\] |
|---|---|
+-commutative [=>]99.5% | \[ \color{blue}{\frac{F}{\sin B} \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)} + \left(-x \cdot \frac{1}{\tan B}\right)}
\] |
unsub-neg [=>]99.5% | \[ \color{blue}{\frac{F}{\sin B} \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)} - x \cdot \frac{1}{\tan B}}
\] |
associate-*l/ [=>]99.5% | \[ \color{blue}{\frac{F \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}}{\sin B}} - x \cdot \frac{1}{\tan B}
\] |
associate-*r/ [<=]99.5% | \[ \color{blue}{F \cdot \frac{{\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}}{\sin B}} - x \cdot \frac{1}{\tan B}
\] |
*-commutative [<=]99.5% | \[ \color{blue}{\frac{{\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}}{\sin B} \cdot F} - x \cdot \frac{1}{\tan B}
\] |
Taylor expanded in x around 0 99.6%
Simplified99.7%
[Start]99.6% | \[ F \cdot \left(\frac{1}{\sin B} \cdot \sqrt{\frac{1}{{F}^{2} + 2}}\right) - \frac{x}{\tan B}
\] |
|---|---|
associate-*l/ [=>]99.7% | \[ F \cdot \color{blue}{\frac{1 \cdot \sqrt{\frac{1}{{F}^{2} + 2}}}{\sin B}} - \frac{x}{\tan B}
\] |
*-lft-identity [=>]99.7% | \[ F \cdot \frac{\color{blue}{\sqrt{\frac{1}{{F}^{2} + 2}}}}{\sin B} - \frac{x}{\tan B}
\] |
unpow2 [=>]99.7% | \[ F \cdot \frac{\sqrt{\frac{1}{\color{blue}{F \cdot F} + 2}}}{\sin B} - \frac{x}{\tan B}
\] |
fma-udef [<=]99.7% | \[ F \cdot \frac{\sqrt{\frac{1}{\color{blue}{\mathsf{fma}\left(F, F, 2\right)}}}}{\sin B} - \frac{x}{\tan B}
\] |
if 1.05e8 < F Initial program 63.6%
Simplified75.3%
[Start]63.6% | \[ \left(-x \cdot \frac{1}{\tan B}\right) + \frac{F}{\sin B} \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}
\] |
|---|---|
+-commutative [=>]63.6% | \[ \color{blue}{\frac{F}{\sin B} \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)} + \left(-x \cdot \frac{1}{\tan B}\right)}
\] |
unsub-neg [=>]63.6% | \[ \color{blue}{\frac{F}{\sin B} \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)} - x \cdot \frac{1}{\tan B}}
\] |
associate-*l/ [=>]75.2% | \[ \color{blue}{\frac{F \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}}{\sin B}} - x \cdot \frac{1}{\tan B}
\] |
associate-*r/ [<=]75.2% | \[ \color{blue}{F \cdot \frac{{\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}}{\sin B}} - x \cdot \frac{1}{\tan B}
\] |
*-commutative [<=]75.2% | \[ \color{blue}{\frac{{\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}}{\sin B} \cdot F} - x \cdot \frac{1}{\tan B}
\] |
Taylor expanded in x around 0 75.2%
Simplified75.3%
[Start]75.2% | \[ F \cdot \left(\frac{1}{\sin B} \cdot \sqrt{\frac{1}{{F}^{2} + 2}}\right) - \frac{x}{\tan B}
\] |
|---|---|
associate-*l/ [=>]75.3% | \[ F \cdot \color{blue}{\frac{1 \cdot \sqrt{\frac{1}{{F}^{2} + 2}}}{\sin B}} - \frac{x}{\tan B}
\] |
*-lft-identity [=>]75.3% | \[ F \cdot \frac{\color{blue}{\sqrt{\frac{1}{{F}^{2} + 2}}}}{\sin B} - \frac{x}{\tan B}
\] |
unpow2 [=>]75.3% | \[ F \cdot \frac{\sqrt{\frac{1}{\color{blue}{F \cdot F} + 2}}}{\sin B} - \frac{x}{\tan B}
\] |
fma-udef [<=]75.3% | \[ F \cdot \frac{\sqrt{\frac{1}{\color{blue}{\mathsf{fma}\left(F, F, 2\right)}}}}{\sin B} - \frac{x}{\tan B}
\] |
Taylor expanded in F around inf 99.8%
Final simplification99.8%
| Alternative 1 | |
|---|---|
| Accuracy | 99.6% |
| Cost | 26696 |
| Alternative 2 | |
|---|---|
| Accuracy | 99.6% |
| Cost | 26632 |
| Alternative 3 | |
|---|---|
| Accuracy | 99.6% |
| Cost | 20744 |
| Alternative 4 | |
|---|---|
| Accuracy | 98.8% |
| Cost | 20040 |
| Alternative 5 | |
|---|---|
| Accuracy | 91.6% |
| Cost | 14284 |
| Alternative 6 | |
|---|---|
| Accuracy | 90.9% |
| Cost | 14152 |
| Alternative 7 | |
|---|---|
| Accuracy | 90.8% |
| Cost | 14024 |
| Alternative 8 | |
|---|---|
| Accuracy | 90.9% |
| Cost | 14024 |
| Alternative 9 | |
|---|---|
| Accuracy | 77.9% |
| Cost | 13644 |
| Alternative 10 | |
|---|---|
| Accuracy | 84.3% |
| Cost | 13640 |
| Alternative 11 | |
|---|---|
| Accuracy | 90.8% |
| Cost | 13640 |
| Alternative 12 | |
|---|---|
| Accuracy | 90.8% |
| Cost | 13640 |
| Alternative 13 | |
|---|---|
| Accuracy | 64.1% |
| Cost | 7244 |
| Alternative 14 | |
|---|---|
| Accuracy | 70.5% |
| Cost | 7244 |
| Alternative 15 | |
|---|---|
| Accuracy | 70.5% |
| Cost | 7244 |
| Alternative 16 | |
|---|---|
| Accuracy | 63.4% |
| Cost | 7112 |
| Alternative 17 | |
|---|---|
| Accuracy | 56.3% |
| Cost | 6788 |
| Alternative 18 | |
|---|---|
| Accuracy | 36.5% |
| Cost | 964 |
| Alternative 19 | |
|---|---|
| Accuracy | 36.5% |
| Cost | 452 |
| Alternative 20 | |
|---|---|
| Accuracy | 30.1% |
| Cost | 388 |
| Alternative 21 | |
|---|---|
| Accuracy | 10.1% |
| Cost | 192 |
herbie shell --seed 2023166
(FPCore (F B x)
:name "VandenBroeck and Keller, Equation (23)"
:precision binary64
(+ (- (* x (/ 1.0 (tan B)))) (* (/ F (sin B)) (pow (+ (+ (* F F) 2.0) (* 2.0 x)) (- (/ 1.0 2.0))))))