Average Error: 12.5 → 0.4
Time: 22.9s
Precision: binary64
Cost: 26112
\[\left(\left(cosTheta_i > 0.9999 \land cosTheta_i \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u2 \land u2 \leq 1\right)\]
\[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
\[\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \cos \left(\left(u2 + u2\right) \cdot \pi\right) \]
(FPCore (cosTheta_i u1 u2)
 :precision binary64
 (* (sqrt (- (log (- 1.0 u1)))) (cos (* (* 2.0 PI) u2))))
(FPCore (cosTheta_i u1 u2)
 :precision binary64
 (* (sqrt (- (log1p (- u1)))) (cos (* (+ u2 u2) PI))))
double code(double cosTheta_i, double u1, double u2) {
	return sqrt(-log((1.0 - u1))) * cos(((2.0 * ((double) M_PI)) * u2));
}
double code(double cosTheta_i, double u1, double u2) {
	return sqrt(-log1p(-u1)) * cos(((u2 + u2) * ((double) M_PI)));
}
public static double code(double cosTheta_i, double u1, double u2) {
	return Math.sqrt(-Math.log((1.0 - u1))) * Math.cos(((2.0 * Math.PI) * u2));
}
public static double code(double cosTheta_i, double u1, double u2) {
	return Math.sqrt(-Math.log1p(-u1)) * Math.cos(((u2 + u2) * Math.PI));
}
def code(cosTheta_i, u1, u2):
	return math.sqrt(-math.log((1.0 - u1))) * math.cos(((2.0 * math.pi) * u2))
def code(cosTheta_i, u1, u2):
	return math.sqrt(-math.log1p(-u1)) * math.cos(((u2 + u2) * math.pi))
function code(cosTheta_i, u1, u2)
	return Float64(sqrt(Float64(-log(Float64(1.0 - u1)))) * cos(Float64(Float64(2.0 * pi) * u2)))
end
function code(cosTheta_i, u1, u2)
	return Float64(sqrt(Float64(-log1p(Float64(-u1)))) * cos(Float64(Float64(u2 + u2) * pi)))
end
code[cosTheta$95$i_, u1_, u2_] := N[(N[Sqrt[(-N[Log[N[(1.0 - u1), $MachinePrecision]], $MachinePrecision])], $MachinePrecision] * N[Cos[N[(N[(2.0 * Pi), $MachinePrecision] * u2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
code[cosTheta$95$i_, u1_, u2_] := N[(N[Sqrt[(-N[Log[1 + (-u1)], $MachinePrecision])], $MachinePrecision] * N[Cos[N[(N[(u2 + u2), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)
\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \cos \left(\left(u2 + u2\right) \cdot \pi\right)

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 12.5

    \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  2. Simplified0.4

    \[\leadsto \color{blue}{\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)} \]
    Proof
  3. Applied egg-rr0.4

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \cos \color{blue}{\left(\left(u2 + u2\right) \cdot \pi\right)} \]

Alternatives

Alternative 1
Error21.6
Cost32968
\[\begin{array}{l} t_0 := \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ t_1 := \mathsf{log1p}\left(-u1\right)\\ \mathbf{if}\;t_0 \leq 0.999994:\\ \;\;\;\;\sqrt{-\left(-u1\right)} \cdot t_0\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\begin{array}{l} \mathbf{if}\;t_1 \ne 0:\\ \;\;\;\;\frac{-1}{\frac{-1}{t_1}}\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array}}\\ \end{array} \]
Alternative 2
Error21.6
Cost32836
\[\begin{array}{l} t_0 := \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \mathbf{if}\;t_0 \leq 0.999994:\\ \;\;\;\;\sqrt{-\left(-u1\right)} \cdot t_0\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)}\\ \end{array} \]
Alternative 3
Error26.0
Cost12992
\[\sqrt{-\mathsf{log1p}\left(-u1\right)} \]
Alternative 4
Error30.6
Cost7296
\[\sqrt{-\left(u1 \cdot \left(-0.3333333333333333 \cdot \left(u1 \cdot u1\right) + -0.5 \cdot u1\right) - u1\right)} \]
Alternative 5
Error30.6
Cost7104
\[\sqrt{u1 - \left(u1 \cdot u1\right) \cdot \left(-0.3333333333333333 \cdot u1 + -0.5\right)} \]
Alternative 6
Error33.0
Cost6912
\[\sqrt{-\left(-0.5 \cdot \left(u1 \cdot u1\right) - u1\right)} \]
Alternative 7
Error39.5
Cost6592
\[\sqrt{-\left(-u1\right)} \]

Error

Reproduce

herbie shell --seed 2023010 
(FPCore (cosTheta_i u1 u2)
  :name "Beckmann Sample, near normal, slope_x"
  :precision binary64
  :pre (and (and (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 1.0))) (and (<= 2.328306437e-10 u2) (<= u2 1.0)))
  (* (sqrt (- (log (- 1.0 u1)))) (cos (* (* 2.0 PI) u2))))