
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ (PI) (sin (* (PI) z)))
(*
(* (* (sqrt (* (PI) 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t\_0 + 7\\
t_2 := t\_1 + 0.5\\
\frac{\mathsf{PI}\left(\right)}{\sin \left(\mathsf{PI}\left(\right) \cdot z\right)} \cdot \left(\left(\left(\sqrt{\mathsf{PI}\left(\right) \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 5 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ (PI) (sin (* (PI) z)))
(*
(* (* (sqrt (* (PI) 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t\_0 + 7\\
t_2 := t\_1 + 0.5\\
\frac{\mathsf{PI}\left(\right)}{\sin \left(\mathsf{PI}\left(\right) \cdot z\right)} \cdot \left(\left(\left(\sqrt{\mathsf{PI}\left(\right) \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)))
(*
(*
(+
(/ 1.5056327351493116e-7 (+ 8.0 t_0))
(+
(/ 9.984369578019572e-6 (+ 7.0 t_0))
(+
(/ -0.13857109526572012 (+ 6.0 t_0))
(+
(/ 12.507343278686905 (+ 5.0 t_0))
(fma
(fma (fma 606.656776085461 z 544.9358906000987) z 436.3997278161676)
z
260.9048120626994)))))
(*
(*
(exp (fma (- (- 1.0 z) 0.5) (log1p (- (- z) -6.5)) (+ (+ -6.5 z) -1.0)))
(sqrt 2.0))
(sqrt (PI))))
(/ (fma (* (PI) (* 0.16666666666666666 (* z z))) (PI) 1.0) z))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
\left(\left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 + t\_0} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 + t\_0} + \left(\frac{-0.13857109526572012}{6 + t\_0} + \left(\frac{12.507343278686905}{5 + t\_0} + \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(606.656776085461, z, 544.9358906000987\right), z, 436.3997278161676\right), z, 260.9048120626994\right)\right)\right)\right)\right) \cdot \left(\left(e^{\mathsf{fma}\left(\left(1 - z\right) - 0.5, \mathsf{log1p}\left(\left(-z\right) - -6.5\right), \left(-6.5 + z\right) + -1\right)} \cdot \sqrt{2}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}\right)\right) \cdot \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \left(0.16666666666666666 \cdot \left(z \cdot z\right)\right), \mathsf{PI}\left(\right), 1\right)}{z}
\end{array}
\end{array}
Initial program 97.0%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6497.8
Applied rewrites97.8%
Applied rewrites99.1%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6498.7
Applied rewrites98.7%
Taylor expanded in z around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-PI.f64N/A
lower-PI.f6499.2
Applied rewrites99.2%
Final simplification99.2%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)))
(*
(/ 1.0 z)
(*
(+
(/ 1.5056327351493116e-7 (+ 8.0 t_0))
(+
(/ 9.984369578019572e-6 (+ 7.0 t_0))
(+
(/ -0.13857109526572012 (+ 6.0 t_0))
(+
(/ 12.507343278686905 (+ 5.0 t_0))
(fma
(fma (fma 606.656776085461 z 544.9358906000987) z 436.3997278161676)
z
260.9048120626994)))))
(*
(*
(exp (fma (- (- 1.0 z) 0.5) (log1p (- (- z) -6.5)) (+ (+ -6.5 z) -1.0)))
(sqrt 2.0))
(sqrt (PI)))))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
\frac{1}{z} \cdot \left(\left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 + t\_0} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 + t\_0} + \left(\frac{-0.13857109526572012}{6 + t\_0} + \left(\frac{12.507343278686905}{5 + t\_0} + \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(606.656776085461, z, 544.9358906000987\right), z, 436.3997278161676\right), z, 260.9048120626994\right)\right)\right)\right)\right) \cdot \left(\left(e^{\mathsf{fma}\left(\left(1 - z\right) - 0.5, \mathsf{log1p}\left(\left(-z\right) - -6.5\right), \left(-6.5 + z\right) + -1\right)} \cdot \sqrt{2}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}\right)\right)
\end{array}
\end{array}
Initial program 97.0%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6497.8
Applied rewrites97.8%
Applied rewrites99.1%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6498.7
Applied rewrites98.7%
Taylor expanded in z around 0
lower-/.f6499.2
Applied rewrites99.2%
Final simplification99.2%
(FPCore (z)
:precision binary64
(let* ((t_0 (sqrt (PI))))
(*
(* (* 263.3831869810514 t_0) (* (exp -7.5) (* (sqrt 7.5) (sqrt 2.0))))
(/ (PI) (sin (* (* t_0 t_0) z))))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{PI}\left(\right)}\\
\left(\left(263.3831869810514 \cdot t\_0\right) \cdot \left(e^{-7.5} \cdot \left(\sqrt{7.5} \cdot \sqrt{2}\right)\right)\right) \cdot \frac{\mathsf{PI}\left(\right)}{\sin \left(\left(t\_0 \cdot t\_0\right) \cdot z\right)}
\end{array}
\end{array}
Initial program 97.0%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6497.8
Applied rewrites97.8%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6497.8
Applied rewrites97.8%
Taylor expanded in z around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-PI.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-exp.f6497.2
Applied rewrites97.2%
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
lower-*.f6498.3
Applied rewrites98.3%
Final simplification98.3%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)))
(*
(*
(+
(+
(+
(+
(+
(/ -176.6150291621406 (+ t_0 4.0))
(+ (/ 771.3234287776531 (+ t_0 3.0)) 47.95075976068351))
(/ 12.507343278686905 (+ 5.0 t_0)))
(/ -0.13857109526572012 (+ 6.0 t_0)))
(/ 9.984369578019572e-6 (+ 7.0 t_0)))
(/ 1.5056327351493116e-7 (+ 8.0 t_0)))
(* (sqrt 15.0) (* (exp -7.5) (sqrt (PI)))))
(/ 1.0 z))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
\left(\left(\left(\left(\left(\left(\frac{-176.6150291621406}{t\_0 + 4} + \left(\frac{771.3234287776531}{t\_0 + 3} + 47.95075976068351\right)\right) + \frac{12.507343278686905}{5 + t\_0}\right) + \frac{-0.13857109526572012}{6 + t\_0}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{7 + t\_0}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{8 + t\_0}\right) \cdot \left(\sqrt{15} \cdot \left(e^{-7.5} \cdot \sqrt{\mathsf{PI}\left(\right)}\right)\right)\right) \cdot \frac{1}{z}
\end{array}
\end{array}
Initial program 97.0%
Taylor expanded in z around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-exp.f64N/A
lower-sqrt.f64N/A
lower-PI.f6496.1
Applied rewrites96.1%
Taylor expanded in z around 0
Applied rewrites97.3%
Applied rewrites98.2%
Taylor expanded in z around 0
lower-/.f6498.3
Applied rewrites98.3%
Final simplification98.3%
(FPCore (z) :precision binary64 (* (* (/ (exp -7.5) z) (* (sqrt 7.5) (sqrt 2.0))) (* 263.3831869810514 (sqrt (PI)))))
\begin{array}{l}
\\
\left(\frac{e^{-7.5}}{z} \cdot \left(\sqrt{7.5} \cdot \sqrt{2}\right)\right) \cdot \left(263.3831869810514 \cdot \sqrt{\mathsf{PI}\left(\right)}\right)
\end{array}
Initial program 97.0%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6497.8
Applied rewrites97.8%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6497.8
Applied rewrites97.8%
Taylor expanded in z around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-PI.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-exp.f6497.2
Applied rewrites97.2%
Taylor expanded in z around 0
*-commutativeN/A
associate-*r*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-PI.f64N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-exp.f6497.9
Applied rewrites97.9%
Final simplification97.9%
herbie shell --seed 2024283
(FPCore (z)
:name "Jmat.Real.gamma, branch z less than 0.5"
:precision binary64
:pre (<= z 0.5)
(* (/ (PI) (sin (* (PI) z))) (* (* (* (sqrt (* (PI) 2.0)) (pow (+ (+ (- (- 1.0 z) 1.0) 7.0) 0.5) (+ (- (- 1.0 z) 1.0) 0.5))) (exp (- (+ (+ (- (- 1.0 z) 1.0) 7.0) 0.5)))) (+ (+ (+ (+ (+ (+ (+ (+ 0.9999999999998099 (/ 676.5203681218851 (+ (- (- 1.0 z) 1.0) 1.0))) (/ -1259.1392167224028 (+ (- (- 1.0 z) 1.0) 2.0))) (/ 771.3234287776531 (+ (- (- 1.0 z) 1.0) 3.0))) (/ -176.6150291621406 (+ (- (- 1.0 z) 1.0) 4.0))) (/ 12.507343278686905 (+ (- (- 1.0 z) 1.0) 5.0))) (/ -0.13857109526572012 (+ (- (- 1.0 z) 1.0) 6.0))) (/ 9.984369578019572e-6 (+ (- (- 1.0 z) 1.0) 7.0))) (/ 1.5056327351493116e-7 (+ (- (- 1.0 z) 1.0) 8.0))))))