
(FPCore (u1 u2) :precision binary64 (+ (* (* (/ 1.0 6.0) (pow (* -2.0 (log u1)) 0.5)) (cos (* (* 2.0 PI) u2))) 0.5))
double code(double u1, double u2) {
return (((1.0 / 6.0) * pow((-2.0 * log(u1)), 0.5)) * cos(((2.0 * ((double) M_PI)) * u2))) + 0.5;
}
public static double code(double u1, double u2) {
return (((1.0 / 6.0) * Math.pow((-2.0 * Math.log(u1)), 0.5)) * Math.cos(((2.0 * Math.PI) * u2))) + 0.5;
}
def code(u1, u2): return (((1.0 / 6.0) * math.pow((-2.0 * math.log(u1)), 0.5)) * math.cos(((2.0 * math.pi) * u2))) + 0.5
function code(u1, u2) return Float64(Float64(Float64(Float64(1.0 / 6.0) * (Float64(-2.0 * log(u1)) ^ 0.5)) * cos(Float64(Float64(2.0 * pi) * u2))) + 0.5) end
function tmp = code(u1, u2) tmp = (((1.0 / 6.0) * ((-2.0 * log(u1)) ^ 0.5)) * cos(((2.0 * pi) * u2))) + 0.5; end
code[u1_, u2_] := N[(N[(N[(N[(1.0 / 6.0), $MachinePrecision] * N[Power[N[(-2.0 * N[Log[u1], $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(N[(2.0 * Pi), $MachinePrecision] * u2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) + 0.5
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 7 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (u1 u2) :precision binary64 (+ (* (* (/ 1.0 6.0) (pow (* -2.0 (log u1)) 0.5)) (cos (* (* 2.0 PI) u2))) 0.5))
double code(double u1, double u2) {
return (((1.0 / 6.0) * pow((-2.0 * log(u1)), 0.5)) * cos(((2.0 * ((double) M_PI)) * u2))) + 0.5;
}
public static double code(double u1, double u2) {
return (((1.0 / 6.0) * Math.pow((-2.0 * Math.log(u1)), 0.5)) * Math.cos(((2.0 * Math.PI) * u2))) + 0.5;
}
def code(u1, u2): return (((1.0 / 6.0) * math.pow((-2.0 * math.log(u1)), 0.5)) * math.cos(((2.0 * math.pi) * u2))) + 0.5
function code(u1, u2) return Float64(Float64(Float64(Float64(1.0 / 6.0) * (Float64(-2.0 * log(u1)) ^ 0.5)) * cos(Float64(Float64(2.0 * pi) * u2))) + 0.5) end
function tmp = code(u1, u2) tmp = (((1.0 / 6.0) * ((-2.0 * log(u1)) ^ 0.5)) * cos(((2.0 * pi) * u2))) + 0.5; end
code[u1_, u2_] := N[(N[(N[(N[(1.0 / 6.0), $MachinePrecision] * N[Power[N[(-2.0 * N[Log[u1], $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(N[(2.0 * Pi), $MachinePrecision] * u2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) + 0.5
\end{array}
(FPCore (u1 u2) :precision binary64 (fma (* (* 0.16666666666666666 (sqrt 2.0)) (cos (* u2 (* 2.0 PI)))) (sqrt (- 0.0 (log u1))) 0.5))
double code(double u1, double u2) {
return fma(((0.16666666666666666 * sqrt(2.0)) * cos((u2 * (2.0 * ((double) M_PI))))), sqrt((0.0 - log(u1))), 0.5);
}
function code(u1, u2) return fma(Float64(Float64(0.16666666666666666 * sqrt(2.0)) * cos(Float64(u2 * Float64(2.0 * pi)))), sqrt(Float64(0.0 - log(u1))), 0.5) end
code[u1_, u2_] := N[(N[(N[(0.16666666666666666 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(u2 * N[(2.0 * Pi), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(0.0 - N[Log[u1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(\left(0.16666666666666666 \cdot \sqrt{2}\right) \cdot \cos \left(u2 \cdot \left(2 \cdot \pi\right)\right), \sqrt{0 - \log u1}, 0.5\right)
\end{array}
Initial program 99.5%
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f6499.5%
Simplified99.5%
pow1/2N/A
pow-to-expN/A
*-commutativeN/A
exp-prodN/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64N/A
rem-exp-logN/A
log-lowering-log.f64N/A
rem-exp-logN/A
*-lowering-*.f64N/A
log-lowering-log.f6498.8%
Applied egg-rr98.8%
Taylor expanded in u1 around inf
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
log-lowering-log.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6499.7%
Simplified99.7%
+-commutativeN/A
associate-*l*N/A
*-commutativeN/A
fma-defineN/A
fma-lowering-fma.f64N/A
Applied egg-rr99.7%
(FPCore (u1 u2) :precision binary64 (+ 0.5 (* (* (* 0.16666666666666666 (sqrt 2.0)) (sqrt (log (/ 1.0 u1)))) (cos (* 2.0 (* u2 PI))))))
double code(double u1, double u2) {
return 0.5 + (((0.16666666666666666 * sqrt(2.0)) * sqrt(log((1.0 / u1)))) * cos((2.0 * (u2 * ((double) M_PI)))));
}
public static double code(double u1, double u2) {
return 0.5 + (((0.16666666666666666 * Math.sqrt(2.0)) * Math.sqrt(Math.log((1.0 / u1)))) * Math.cos((2.0 * (u2 * Math.PI))));
}
def code(u1, u2): return 0.5 + (((0.16666666666666666 * math.sqrt(2.0)) * math.sqrt(math.log((1.0 / u1)))) * math.cos((2.0 * (u2 * math.pi))))
function code(u1, u2) return Float64(0.5 + Float64(Float64(Float64(0.16666666666666666 * sqrt(2.0)) * sqrt(log(Float64(1.0 / u1)))) * cos(Float64(2.0 * Float64(u2 * pi))))) end
function tmp = code(u1, u2) tmp = 0.5 + (((0.16666666666666666 * sqrt(2.0)) * sqrt(log((1.0 / u1)))) * cos((2.0 * (u2 * pi)))); end
code[u1_, u2_] := N[(0.5 + N[(N[(N[(0.16666666666666666 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[Log[N[(1.0 / u1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(2.0 * N[(u2 * Pi), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.5 + \left(\left(0.16666666666666666 \cdot \sqrt{2}\right) \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right) \cdot \cos \left(2 \cdot \left(u2 \cdot \pi\right)\right)
\end{array}
Initial program 99.5%
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f6499.5%
Simplified99.5%
pow1/2N/A
pow-to-expN/A
*-commutativeN/A
exp-prodN/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64N/A
rem-exp-logN/A
log-lowering-log.f64N/A
rem-exp-logN/A
*-lowering-*.f64N/A
log-lowering-log.f6498.8%
Applied egg-rr98.8%
Taylor expanded in u1 around inf
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
log-lowering-log.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6499.7%
Simplified99.7%
Final simplification99.7%
(FPCore (u1 u2) :precision binary64 (+ 0.5 (* (cos (* 2.0 (* u2 PI))) (* 0.16666666666666666 (* (sqrt 2.0) (sqrt (log (/ 1.0 u1))))))))
double code(double u1, double u2) {
return 0.5 + (cos((2.0 * (u2 * ((double) M_PI)))) * (0.16666666666666666 * (sqrt(2.0) * sqrt(log((1.0 / u1))))));
}
public static double code(double u1, double u2) {
return 0.5 + (Math.cos((2.0 * (u2 * Math.PI))) * (0.16666666666666666 * (Math.sqrt(2.0) * Math.sqrt(Math.log((1.0 / u1))))));
}
def code(u1, u2): return 0.5 + (math.cos((2.0 * (u2 * math.pi))) * (0.16666666666666666 * (math.sqrt(2.0) * math.sqrt(math.log((1.0 / u1))))))
function code(u1, u2) return Float64(0.5 + Float64(cos(Float64(2.0 * Float64(u2 * pi))) * Float64(0.16666666666666666 * Float64(sqrt(2.0) * sqrt(log(Float64(1.0 / u1))))))) end
function tmp = code(u1, u2) tmp = 0.5 + (cos((2.0 * (u2 * pi))) * (0.16666666666666666 * (sqrt(2.0) * sqrt(log((1.0 / u1)))))); end
code[u1_, u2_] := N[(0.5 + N[(N[Cos[N[(2.0 * N[(u2 * Pi), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.16666666666666666 * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[N[Log[N[(1.0 / u1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.5 + \cos \left(2 \cdot \left(u2 \cdot \pi\right)\right) \cdot \left(0.16666666666666666 \cdot \left(\sqrt{2} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)\right)
\end{array}
Initial program 99.5%
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f6499.5%
Simplified99.5%
pow1/2N/A
pow-to-expN/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
rem-exp-logN/A
log-lowering-log.f64N/A
rem-exp-logN/A
*-lowering-*.f64N/A
log-lowering-log.f6498.9%
Applied egg-rr98.9%
Taylor expanded in u1 around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
log-lowering-log.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6499.5%
Simplified99.5%
Final simplification99.5%
(FPCore (u1 u2) :precision binary64 (+ 0.5 (* (cos (* 2.0 (* u2 PI))) (* 0.16666666666666666 (sqrt (* (log u1) -2.0))))))
double code(double u1, double u2) {
return 0.5 + (cos((2.0 * (u2 * ((double) M_PI)))) * (0.16666666666666666 * sqrt((log(u1) * -2.0))));
}
public static double code(double u1, double u2) {
return 0.5 + (Math.cos((2.0 * (u2 * Math.PI))) * (0.16666666666666666 * Math.sqrt((Math.log(u1) * -2.0))));
}
def code(u1, u2): return 0.5 + (math.cos((2.0 * (u2 * math.pi))) * (0.16666666666666666 * math.sqrt((math.log(u1) * -2.0))))
function code(u1, u2) return Float64(0.5 + Float64(cos(Float64(2.0 * Float64(u2 * pi))) * Float64(0.16666666666666666 * sqrt(Float64(log(u1) * -2.0))))) end
function tmp = code(u1, u2) tmp = 0.5 + (cos((2.0 * (u2 * pi))) * (0.16666666666666666 * sqrt((log(u1) * -2.0)))); end
code[u1_, u2_] := N[(0.5 + N[(N[Cos[N[(2.0 * N[(u2 * Pi), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.16666666666666666 * N[Sqrt[N[(N[Log[u1], $MachinePrecision] * -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.5 + \cos \left(2 \cdot \left(u2 \cdot \pi\right)\right) \cdot \left(0.16666666666666666 \cdot \sqrt{\log u1 \cdot -2}\right)
\end{array}
Initial program 99.5%
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f6499.5%
Simplified99.5%
Final simplification99.5%
(FPCore (u1 u2) :precision binary64 (+ 0.5 (* (* 0.16666666666666666 (sqrt (* (log u1) -2.0))) (+ 1.0 (* PI (* -2.0 (* PI (* u2 u2))))))))
double code(double u1, double u2) {
return 0.5 + ((0.16666666666666666 * sqrt((log(u1) * -2.0))) * (1.0 + (((double) M_PI) * (-2.0 * (((double) M_PI) * (u2 * u2))))));
}
public static double code(double u1, double u2) {
return 0.5 + ((0.16666666666666666 * Math.sqrt((Math.log(u1) * -2.0))) * (1.0 + (Math.PI * (-2.0 * (Math.PI * (u2 * u2))))));
}
def code(u1, u2): return 0.5 + ((0.16666666666666666 * math.sqrt((math.log(u1) * -2.0))) * (1.0 + (math.pi * (-2.0 * (math.pi * (u2 * u2))))))
function code(u1, u2) return Float64(0.5 + Float64(Float64(0.16666666666666666 * sqrt(Float64(log(u1) * -2.0))) * Float64(1.0 + Float64(pi * Float64(-2.0 * Float64(pi * Float64(u2 * u2))))))) end
function tmp = code(u1, u2) tmp = 0.5 + ((0.16666666666666666 * sqrt((log(u1) * -2.0))) * (1.0 + (pi * (-2.0 * (pi * (u2 * u2)))))); end
code[u1_, u2_] := N[(0.5 + N[(N[(0.16666666666666666 * N[Sqrt[N[(N[Log[u1], $MachinePrecision] * -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(Pi * N[(-2.0 * N[(Pi * N[(u2 * u2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.5 + \left(0.16666666666666666 \cdot \sqrt{\log u1 \cdot -2}\right) \cdot \left(1 + \pi \cdot \left(-2 \cdot \left(\pi \cdot \left(u2 \cdot u2\right)\right)\right)\right)
\end{array}
Initial program 99.5%
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f6499.5%
Simplified99.5%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.5%
Taylor expanded in u2 around 0
*-commutativeN/A
associate-*r*N/A
+-lowering-+.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6498.4%
Simplified98.4%
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr98.4%
Final simplification98.4%
(FPCore (u1 u2) :precision binary64 (+ 0.5 (* 0.16666666666666666 (* (sqrt (* (log u1) -2.0)) (+ 1.0 (* -2.0 (* PI (* PI (* u2 u2)))))))))
double code(double u1, double u2) {
return 0.5 + (0.16666666666666666 * (sqrt((log(u1) * -2.0)) * (1.0 + (-2.0 * (((double) M_PI) * (((double) M_PI) * (u2 * u2)))))));
}
public static double code(double u1, double u2) {
return 0.5 + (0.16666666666666666 * (Math.sqrt((Math.log(u1) * -2.0)) * (1.0 + (-2.0 * (Math.PI * (Math.PI * (u2 * u2)))))));
}
def code(u1, u2): return 0.5 + (0.16666666666666666 * (math.sqrt((math.log(u1) * -2.0)) * (1.0 + (-2.0 * (math.pi * (math.pi * (u2 * u2)))))))
function code(u1, u2) return Float64(0.5 + Float64(0.16666666666666666 * Float64(sqrt(Float64(log(u1) * -2.0)) * Float64(1.0 + Float64(-2.0 * Float64(pi * Float64(pi * Float64(u2 * u2)))))))) end
function tmp = code(u1, u2) tmp = 0.5 + (0.16666666666666666 * (sqrt((log(u1) * -2.0)) * (1.0 + (-2.0 * (pi * (pi * (u2 * u2))))))); end
code[u1_, u2_] := N[(0.5 + N[(0.16666666666666666 * N[(N[Sqrt[N[(N[Log[u1], $MachinePrecision] * -2.0), $MachinePrecision]], $MachinePrecision] * N[(1.0 + N[(-2.0 * N[(Pi * N[(Pi * N[(u2 * u2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.5 + 0.16666666666666666 \cdot \left(\sqrt{\log u1 \cdot -2} \cdot \left(1 + -2 \cdot \left(\pi \cdot \left(\pi \cdot \left(u2 \cdot u2\right)\right)\right)\right)\right)
\end{array}
Initial program 99.5%
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f6499.5%
Simplified99.5%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.5%
Taylor expanded in u2 around 0
*-commutativeN/A
associate-*r*N/A
+-lowering-+.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6498.4%
Simplified98.4%
Final simplification98.4%
(FPCore (u1 u2) :precision binary64 (+ 0.5 (* 0.16666666666666666 (sqrt (* (log u1) -2.0)))))
double code(double u1, double u2) {
return 0.5 + (0.16666666666666666 * sqrt((log(u1) * -2.0)));
}
real(8) function code(u1, u2)
real(8), intent (in) :: u1
real(8), intent (in) :: u2
code = 0.5d0 + (0.16666666666666666d0 * sqrt((log(u1) * (-2.0d0))))
end function
public static double code(double u1, double u2) {
return 0.5 + (0.16666666666666666 * Math.sqrt((Math.log(u1) * -2.0)));
}
def code(u1, u2): return 0.5 + (0.16666666666666666 * math.sqrt((math.log(u1) * -2.0)))
function code(u1, u2) return Float64(0.5 + Float64(0.16666666666666666 * sqrt(Float64(log(u1) * -2.0)))) end
function tmp = code(u1, u2) tmp = 0.5 + (0.16666666666666666 * sqrt((log(u1) * -2.0))); end
code[u1_, u2_] := N[(0.5 + N[(0.16666666666666666 * N[Sqrt[N[(N[Log[u1], $MachinePrecision] * -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.5 + 0.16666666666666666 \cdot \sqrt{\log u1 \cdot -2}
\end{array}
Initial program 99.5%
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
cos-lowering-cos.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f6499.5%
Simplified99.5%
Taylor expanded in u2 around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
log-lowering-log.f640.0%
Simplified0.0%
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-prodN/A
*-lowering-*.f64N/A
rem-exp-logN/A
sqrt-lowering-sqrt.f64N/A
rem-exp-logN/A
rem-exp-logN/A
*-lowering-*.f64N/A
rem-exp-logN/A
log-lowering-log.f6497.2%
Applied egg-rr97.2%
Final simplification97.2%
herbie shell --seed 2024164
(FPCore (u1 u2)
:name "normal distribution"
:precision binary64
:pre (and (and (<= 0.0 u1) (<= u1 1.0)) (and (<= 0.0 u2) (<= u2 1.0)))
(+ (* (* (/ 1.0 6.0) (pow (* -2.0 (log u1)) 0.5)) (cos (* (* 2.0 PI) u2))) 0.5))