
(FPCore (a b angle) :precision binary64 (let* ((t_0 (* PI (/ angle 180.0)))) (+ (pow (* a (cos t_0)) 2.0) (pow (* b (sin t_0)) 2.0))))
double code(double a, double b, double angle) {
double t_0 = ((double) M_PI) * (angle / 180.0);
return pow((a * cos(t_0)), 2.0) + pow((b * sin(t_0)), 2.0);
}
public static double code(double a, double b, double angle) {
double t_0 = Math.PI * (angle / 180.0);
return Math.pow((a * Math.cos(t_0)), 2.0) + Math.pow((b * Math.sin(t_0)), 2.0);
}
def code(a, b, angle): t_0 = math.pi * (angle / 180.0) return math.pow((a * math.cos(t_0)), 2.0) + math.pow((b * math.sin(t_0)), 2.0)
function code(a, b, angle) t_0 = Float64(pi * Float64(angle / 180.0)) return Float64((Float64(a * cos(t_0)) ^ 2.0) + (Float64(b * sin(t_0)) ^ 2.0)) end
function tmp = code(a, b, angle) t_0 = pi * (angle / 180.0); tmp = ((a * cos(t_0)) ^ 2.0) + ((b * sin(t_0)) ^ 2.0); end
code[a_, b_, angle_] := Block[{t$95$0 = N[(Pi * N[(angle / 180.0), $MachinePrecision]), $MachinePrecision]}, N[(N[Power[N[(a * N[Cos[t$95$0], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[(b * N[Sin[t$95$0], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \pi \cdot \frac{angle}{180}\\
{\left(a \cdot \cos t_0\right)}^{2} + {\left(b \cdot \sin t_0\right)}^{2}
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (a b angle) :precision binary64 (let* ((t_0 (* PI (/ angle 180.0)))) (+ (pow (* a (cos t_0)) 2.0) (pow (* b (sin t_0)) 2.0))))
double code(double a, double b, double angle) {
double t_0 = ((double) M_PI) * (angle / 180.0);
return pow((a * cos(t_0)), 2.0) + pow((b * sin(t_0)), 2.0);
}
public static double code(double a, double b, double angle) {
double t_0 = Math.PI * (angle / 180.0);
return Math.pow((a * Math.cos(t_0)), 2.0) + Math.pow((b * Math.sin(t_0)), 2.0);
}
def code(a, b, angle): t_0 = math.pi * (angle / 180.0) return math.pow((a * math.cos(t_0)), 2.0) + math.pow((b * math.sin(t_0)), 2.0)
function code(a, b, angle) t_0 = Float64(pi * Float64(angle / 180.0)) return Float64((Float64(a * cos(t_0)) ^ 2.0) + (Float64(b * sin(t_0)) ^ 2.0)) end
function tmp = code(a, b, angle) t_0 = pi * (angle / 180.0); tmp = ((a * cos(t_0)) ^ 2.0) + ((b * sin(t_0)) ^ 2.0); end
code[a_, b_, angle_] := Block[{t$95$0 = N[(Pi * N[(angle / 180.0), $MachinePrecision]), $MachinePrecision]}, N[(N[Power[N[(a * N[Cos[t$95$0], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[(b * N[Sin[t$95$0], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \pi \cdot \frac{angle}{180}\\
{\left(a \cdot \cos t_0\right)}^{2} + {\left(b \cdot \sin t_0\right)}^{2}
\end{array}
\end{array}
(FPCore (a b angle) :precision binary64 (+ (pow (* a (cos (/ 1.0 (/ 180.0 (* PI angle))))) 2.0) (pow (* (sin (* 0.005555555555555556 (* PI angle))) b) 2.0)))
double code(double a, double b, double angle) {
return pow((a * cos((1.0 / (180.0 / (((double) M_PI) * angle))))), 2.0) + pow((sin((0.005555555555555556 * (((double) M_PI) * angle))) * b), 2.0);
}
public static double code(double a, double b, double angle) {
return Math.pow((a * Math.cos((1.0 / (180.0 / (Math.PI * angle))))), 2.0) + Math.pow((Math.sin((0.005555555555555556 * (Math.PI * angle))) * b), 2.0);
}
def code(a, b, angle): return math.pow((a * math.cos((1.0 / (180.0 / (math.pi * angle))))), 2.0) + math.pow((math.sin((0.005555555555555556 * (math.pi * angle))) * b), 2.0)
function code(a, b, angle) return Float64((Float64(a * cos(Float64(1.0 / Float64(180.0 / Float64(pi * angle))))) ^ 2.0) + (Float64(sin(Float64(0.005555555555555556 * Float64(pi * angle))) * b) ^ 2.0)) end
function tmp = code(a, b, angle) tmp = ((a * cos((1.0 / (180.0 / (pi * angle))))) ^ 2.0) + ((sin((0.005555555555555556 * (pi * angle))) * b) ^ 2.0); end
code[a_, b_, angle_] := N[(N[Power[N[(a * N[Cos[N[(1.0 / N[(180.0 / N[(Pi * angle), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[(N[Sin[N[(0.005555555555555556 * N[(Pi * angle), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * b), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{\left(a \cdot \cos \left(\frac{1}{\frac{180}{\pi \cdot angle}}\right)\right)}^{2} + {\left(\sin \left(0.005555555555555556 \cdot \left(\pi \cdot angle\right)\right) \cdot b\right)}^{2}
\end{array}
Initial program 74.3%
Taylor expanded in b around 0 74.4%
*-commutative74.4%
Simplified74.4%
associate-*r/74.4%
clear-num74.5%
Applied egg-rr74.5%
Final simplification74.5%
(FPCore (a b angle) :precision binary64 (+ (pow a 2.0) (pow (* b (sin (* angle (* PI -0.005555555555555556)))) 2.0)))
double code(double a, double b, double angle) {
return pow(a, 2.0) + pow((b * sin((angle * (((double) M_PI) * -0.005555555555555556)))), 2.0);
}
public static double code(double a, double b, double angle) {
return Math.pow(a, 2.0) + Math.pow((b * Math.sin((angle * (Math.PI * -0.005555555555555556)))), 2.0);
}
def code(a, b, angle): return math.pow(a, 2.0) + math.pow((b * math.sin((angle * (math.pi * -0.005555555555555556)))), 2.0)
function code(a, b, angle) return Float64((a ^ 2.0) + (Float64(b * sin(Float64(angle * Float64(pi * -0.005555555555555556)))) ^ 2.0)) end
function tmp = code(a, b, angle) tmp = (a ^ 2.0) + ((b * sin((angle * (pi * -0.005555555555555556)))) ^ 2.0); end
code[a_, b_, angle_] := N[(N[Power[a, 2.0], $MachinePrecision] + N[Power[N[(b * N[Sin[N[(angle * N[(Pi * -0.005555555555555556), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{a}^{2} + {\left(b \cdot \sin \left(angle \cdot \left(\pi \cdot -0.005555555555555556\right)\right)\right)}^{2}
\end{array}
Initial program 74.3%
unpow274.3%
swap-sqr66.1%
sqr-neg66.1%
swap-sqr74.3%
unpow274.3%
distribute-lft-neg-out74.3%
distribute-rgt-neg-in74.3%
sin-neg74.3%
distribute-rgt-neg-out74.3%
distribute-frac-neg74.3%
unpow274.3%
associate-*l*72.6%
Simplified74.4%
Taylor expanded in angle around 0 74.4%
Taylor expanded in angle around 0 74.4%
*-commutative74.4%
associate-*r*74.4%
Simplified74.4%
Final simplification74.4%
(FPCore (a b angle) :precision binary64 (+ (pow (* (sin (* 0.005555555555555556 (* PI angle))) b) 2.0) (pow a 2.0)))
double code(double a, double b, double angle) {
return pow((sin((0.005555555555555556 * (((double) M_PI) * angle))) * b), 2.0) + pow(a, 2.0);
}
public static double code(double a, double b, double angle) {
return Math.pow((Math.sin((0.005555555555555556 * (Math.PI * angle))) * b), 2.0) + Math.pow(a, 2.0);
}
def code(a, b, angle): return math.pow((math.sin((0.005555555555555556 * (math.pi * angle))) * b), 2.0) + math.pow(a, 2.0)
function code(a, b, angle) return Float64((Float64(sin(Float64(0.005555555555555556 * Float64(pi * angle))) * b) ^ 2.0) + (a ^ 2.0)) end
function tmp = code(a, b, angle) tmp = ((sin((0.005555555555555556 * (pi * angle))) * b) ^ 2.0) + (a ^ 2.0); end
code[a_, b_, angle_] := N[(N[Power[N[(N[Sin[N[(0.005555555555555556 * N[(Pi * angle), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * b), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[a, 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{\left(\sin \left(0.005555555555555556 \cdot \left(\pi \cdot angle\right)\right) \cdot b\right)}^{2} + {a}^{2}
\end{array}
Initial program 74.3%
Taylor expanded in b around 0 74.4%
*-commutative74.4%
Simplified74.4%
Taylor expanded in angle around 0 74.4%
Final simplification74.4%
(FPCore (a b angle) :precision binary64 (+ (pow a 2.0) (* (* -0.005555555555555556 (* PI (* b (* angle -0.005555555555555556)))) (* angle (* PI b)))))
double code(double a, double b, double angle) {
return pow(a, 2.0) + ((-0.005555555555555556 * (((double) M_PI) * (b * (angle * -0.005555555555555556)))) * (angle * (((double) M_PI) * b)));
}
public static double code(double a, double b, double angle) {
return Math.pow(a, 2.0) + ((-0.005555555555555556 * (Math.PI * (b * (angle * -0.005555555555555556)))) * (angle * (Math.PI * b)));
}
def code(a, b, angle): return math.pow(a, 2.0) + ((-0.005555555555555556 * (math.pi * (b * (angle * -0.005555555555555556)))) * (angle * (math.pi * b)))
function code(a, b, angle) return Float64((a ^ 2.0) + Float64(Float64(-0.005555555555555556 * Float64(pi * Float64(b * Float64(angle * -0.005555555555555556)))) * Float64(angle * Float64(pi * b)))) end
function tmp = code(a, b, angle) tmp = (a ^ 2.0) + ((-0.005555555555555556 * (pi * (b * (angle * -0.005555555555555556)))) * (angle * (pi * b))); end
code[a_, b_, angle_] := N[(N[Power[a, 2.0], $MachinePrecision] + N[(N[(-0.005555555555555556 * N[(Pi * N[(b * N[(angle * -0.005555555555555556), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(angle * N[(Pi * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{a}^{2} + \left(-0.005555555555555556 \cdot \left(\pi \cdot \left(b \cdot \left(angle \cdot -0.005555555555555556\right)\right)\right)\right) \cdot \left(angle \cdot \left(\pi \cdot b\right)\right)
\end{array}
Initial program 74.3%
unpow274.3%
swap-sqr66.1%
sqr-neg66.1%
swap-sqr74.3%
unpow274.3%
distribute-lft-neg-out74.3%
distribute-rgt-neg-in74.3%
sin-neg74.3%
distribute-rgt-neg-out74.3%
distribute-frac-neg74.3%
unpow274.3%
associate-*l*72.6%
Simplified74.4%
Taylor expanded in angle around 0 74.4%
Taylor expanded in angle around 0 70.2%
Taylor expanded in b around 0 70.2%
associate-*r*70.2%
Simplified70.2%
unpow270.2%
associate-*r*70.1%
associate-*r*70.2%
*-commutative70.2%
associate-*r*70.2%
*-commutative70.2%
associate-*l*70.2%
*-commutative70.2%
Applied egg-rr70.2%
Final simplification70.2%
(FPCore (a b angle) :precision binary64 (+ (pow a 2.0) (* 3.08641975308642e-5 (pow (* PI (* angle b)) 2.0))))
double code(double a, double b, double angle) {
return pow(a, 2.0) + (3.08641975308642e-5 * pow((((double) M_PI) * (angle * b)), 2.0));
}
public static double code(double a, double b, double angle) {
return Math.pow(a, 2.0) + (3.08641975308642e-5 * Math.pow((Math.PI * (angle * b)), 2.0));
}
def code(a, b, angle): return math.pow(a, 2.0) + (3.08641975308642e-5 * math.pow((math.pi * (angle * b)), 2.0))
function code(a, b, angle) return Float64((a ^ 2.0) + Float64(3.08641975308642e-5 * (Float64(pi * Float64(angle * b)) ^ 2.0))) end
function tmp = code(a, b, angle) tmp = (a ^ 2.0) + (3.08641975308642e-5 * ((pi * (angle * b)) ^ 2.0)); end
code[a_, b_, angle_] := N[(N[Power[a, 2.0], $MachinePrecision] + N[(3.08641975308642e-5 * N[Power[N[(Pi * N[(angle * b), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{a}^{2} + 3.08641975308642 \cdot 10^{-5} \cdot {\left(\pi \cdot \left(angle \cdot b\right)\right)}^{2}
\end{array}
Initial program 74.3%
Taylor expanded in b around 0 74.4%
*-commutative74.4%
Simplified74.4%
Taylor expanded in angle around 0 74.4%
Taylor expanded in angle around 0 59.8%
*-commutative59.8%
*-commutative59.8%
associate-*r*59.8%
unpow259.8%
unpow259.8%
swap-sqr69.9%
unpow269.9%
swap-sqr69.8%
associate-*r*69.9%
*-commutative69.9%
associate-*r*69.9%
*-commutative69.9%
unpow269.9%
associate-*r*69.9%
*-commutative69.9%
associate-*l*69.8%
Simplified69.8%
Final simplification69.8%
(FPCore (a b angle) :precision binary64 (+ (pow a 2.0) (* (pow (* angle (* PI b)) 2.0) 3.08641975308642e-5)))
double code(double a, double b, double angle) {
return pow(a, 2.0) + (pow((angle * (((double) M_PI) * b)), 2.0) * 3.08641975308642e-5);
}
public static double code(double a, double b, double angle) {
return Math.pow(a, 2.0) + (Math.pow((angle * (Math.PI * b)), 2.0) * 3.08641975308642e-5);
}
def code(a, b, angle): return math.pow(a, 2.0) + (math.pow((angle * (math.pi * b)), 2.0) * 3.08641975308642e-5)
function code(a, b, angle) return Float64((a ^ 2.0) + Float64((Float64(angle * Float64(pi * b)) ^ 2.0) * 3.08641975308642e-5)) end
function tmp = code(a, b, angle) tmp = (a ^ 2.0) + (((angle * (pi * b)) ^ 2.0) * 3.08641975308642e-5); end
code[a_, b_, angle_] := N[(N[Power[a, 2.0], $MachinePrecision] + N[(N[Power[N[(angle * N[(Pi * b), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * 3.08641975308642e-5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{a}^{2} + {\left(angle \cdot \left(\pi \cdot b\right)\right)}^{2} \cdot 3.08641975308642 \cdot 10^{-5}
\end{array}
Initial program 74.3%
unpow274.3%
swap-sqr66.1%
sqr-neg66.1%
swap-sqr74.3%
unpow274.3%
distribute-lft-neg-out74.3%
distribute-rgt-neg-in74.3%
sin-neg74.3%
distribute-rgt-neg-out74.3%
distribute-frac-neg74.3%
unpow274.3%
associate-*l*72.6%
Simplified74.4%
Taylor expanded in angle around 0 74.4%
Taylor expanded in angle around 0 70.2%
Taylor expanded in b around 0 70.2%
associate-*r*70.2%
Simplified70.2%
*-commutative70.2%
unpow-prod-down69.8%
associate-*l*69.9%
*-commutative69.9%
metadata-eval69.9%
Applied egg-rr69.9%
Final simplification69.9%
(FPCore (a b angle) :precision binary64 (+ (pow a 2.0) (pow (* -0.005555555555555556 (* PI (* angle b))) 2.0)))
double code(double a, double b, double angle) {
return pow(a, 2.0) + pow((-0.005555555555555556 * (((double) M_PI) * (angle * b))), 2.0);
}
public static double code(double a, double b, double angle) {
return Math.pow(a, 2.0) + Math.pow((-0.005555555555555556 * (Math.PI * (angle * b))), 2.0);
}
def code(a, b, angle): return math.pow(a, 2.0) + math.pow((-0.005555555555555556 * (math.pi * (angle * b))), 2.0)
function code(a, b, angle) return Float64((a ^ 2.0) + (Float64(-0.005555555555555556 * Float64(pi * Float64(angle * b))) ^ 2.0)) end
function tmp = code(a, b, angle) tmp = (a ^ 2.0) + ((-0.005555555555555556 * (pi * (angle * b))) ^ 2.0); end
code[a_, b_, angle_] := N[(N[Power[a, 2.0], $MachinePrecision] + N[Power[N[(-0.005555555555555556 * N[(Pi * N[(angle * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{a}^{2} + {\left(-0.005555555555555556 \cdot \left(\pi \cdot \left(angle \cdot b\right)\right)\right)}^{2}
\end{array}
Initial program 74.3%
unpow274.3%
swap-sqr66.1%
sqr-neg66.1%
swap-sqr74.3%
unpow274.3%
distribute-lft-neg-out74.3%
distribute-rgt-neg-in74.3%
sin-neg74.3%
distribute-rgt-neg-out74.3%
distribute-frac-neg74.3%
unpow274.3%
associate-*l*72.6%
Simplified74.4%
Taylor expanded in angle around 0 74.4%
Taylor expanded in angle around 0 70.2%
Taylor expanded in b around 0 70.2%
associate-*r*70.2%
Simplified70.2%
Final simplification70.2%
(FPCore (a b angle) :precision binary64 (+ (pow a 2.0) (pow (* b (* (* PI angle) -0.005555555555555556)) 2.0)))
double code(double a, double b, double angle) {
return pow(a, 2.0) + pow((b * ((((double) M_PI) * angle) * -0.005555555555555556)), 2.0);
}
public static double code(double a, double b, double angle) {
return Math.pow(a, 2.0) + Math.pow((b * ((Math.PI * angle) * -0.005555555555555556)), 2.0);
}
def code(a, b, angle): return math.pow(a, 2.0) + math.pow((b * ((math.pi * angle) * -0.005555555555555556)), 2.0)
function code(a, b, angle) return Float64((a ^ 2.0) + (Float64(b * Float64(Float64(pi * angle) * -0.005555555555555556)) ^ 2.0)) end
function tmp = code(a, b, angle) tmp = (a ^ 2.0) + ((b * ((pi * angle) * -0.005555555555555556)) ^ 2.0); end
code[a_, b_, angle_] := N[(N[Power[a, 2.0], $MachinePrecision] + N[Power[N[(b * N[(N[(Pi * angle), $MachinePrecision] * -0.005555555555555556), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{a}^{2} + {\left(b \cdot \left(\left(\pi \cdot angle\right) \cdot -0.005555555555555556\right)\right)}^{2}
\end{array}
Initial program 74.3%
unpow274.3%
swap-sqr66.1%
sqr-neg66.1%
swap-sqr74.3%
unpow274.3%
distribute-lft-neg-out74.3%
distribute-rgt-neg-in74.3%
sin-neg74.3%
distribute-rgt-neg-out74.3%
distribute-frac-neg74.3%
unpow274.3%
associate-*l*72.6%
Simplified74.4%
Taylor expanded in angle around 0 74.4%
Taylor expanded in angle around 0 70.2%
Final simplification70.2%
(FPCore (a b angle) :precision binary64 (+ (pow a 2.0) (pow (* b (* angle (* PI -0.005555555555555556))) 2.0)))
double code(double a, double b, double angle) {
return pow(a, 2.0) + pow((b * (angle * (((double) M_PI) * -0.005555555555555556))), 2.0);
}
public static double code(double a, double b, double angle) {
return Math.pow(a, 2.0) + Math.pow((b * (angle * (Math.PI * -0.005555555555555556))), 2.0);
}
def code(a, b, angle): return math.pow(a, 2.0) + math.pow((b * (angle * (math.pi * -0.005555555555555556))), 2.0)
function code(a, b, angle) return Float64((a ^ 2.0) + (Float64(b * Float64(angle * Float64(pi * -0.005555555555555556))) ^ 2.0)) end
function tmp = code(a, b, angle) tmp = (a ^ 2.0) + ((b * (angle * (pi * -0.005555555555555556))) ^ 2.0); end
code[a_, b_, angle_] := N[(N[Power[a, 2.0], $MachinePrecision] + N[Power[N[(b * N[(angle * N[(Pi * -0.005555555555555556), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{a}^{2} + {\left(b \cdot \left(angle \cdot \left(\pi \cdot -0.005555555555555556\right)\right)\right)}^{2}
\end{array}
Initial program 74.3%
unpow274.3%
swap-sqr66.1%
sqr-neg66.1%
swap-sqr74.3%
unpow274.3%
distribute-lft-neg-out74.3%
distribute-rgt-neg-in74.3%
sin-neg74.3%
distribute-rgt-neg-out74.3%
distribute-frac-neg74.3%
unpow274.3%
associate-*l*72.6%
Simplified74.4%
Taylor expanded in angle around 0 74.4%
Taylor expanded in angle around 0 70.2%
associate-*r*70.1%
*-commutative70.1%
associate-*l*70.2%
Simplified70.2%
Final simplification70.2%
herbie shell --seed 2023274
(FPCore (a b angle)
:name "ab-angle->ABCF C"
:precision binary64
(+ (pow (* a (cos (* PI (/ angle 180.0)))) 2.0) (pow (* b (sin (* PI (/ angle 180.0)))) 2.0)))