Lanczos kernel

Percentage Accurate: 97.9% → 97.9%
Time: 5.0s
Alternatives: 17
Speedup: 1.0×

Specification

?
\[\left(10^{-5} \leq x \land x \leq 1\right) \land \left(1 \leq tau \land tau \leq 5\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_1 := \left(x \cdot \pi\right) \cdot tau\\ \frac{\sin t\_1}{t\_1} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \end{array} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (let* ((t_1 (* (* x PI) tau)))
   (* (/ (sin t_1) t_1) (/ (sin (* x PI)) (* x PI)))))
float code(float x, float tau) {
	float t_1 = (x * ((float) M_PI)) * tau;
	return (sinf(t_1) / t_1) * (sinf((x * ((float) M_PI))) / (x * ((float) M_PI)));
}
function code(x, tau)
	t_1 = Float32(Float32(x * Float32(pi)) * tau)
	return Float32(Float32(sin(t_1) / t_1) * Float32(sin(Float32(x * Float32(pi))) / Float32(x * Float32(pi))))
end
function tmp = code(x, tau)
	t_1 = (x * single(pi)) * tau;
	tmp = (sin(t_1) / t_1) * (sin((x * single(pi))) / (x * single(pi)));
end
\begin{array}{l}

\\
\begin{array}{l}
t_1 := \left(x \cdot \pi\right) \cdot tau\\
\frac{\sin t\_1}{t\_1} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi}
\end{array}
\end{array}

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 17 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 97.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := \left(x \cdot \pi\right) \cdot tau\\ \frac{\sin t\_1}{t\_1} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \end{array} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (let* ((t_1 (* (* x PI) tau)))
   (* (/ (sin t_1) t_1) (/ (sin (* x PI)) (* x PI)))))
float code(float x, float tau) {
	float t_1 = (x * ((float) M_PI)) * tau;
	return (sinf(t_1) / t_1) * (sinf((x * ((float) M_PI))) / (x * ((float) M_PI)));
}
function code(x, tau)
	t_1 = Float32(Float32(x * Float32(pi)) * tau)
	return Float32(Float32(sin(t_1) / t_1) * Float32(sin(Float32(x * Float32(pi))) / Float32(x * Float32(pi))))
end
function tmp = code(x, tau)
	t_1 = (x * single(pi)) * tau;
	tmp = (sin(t_1) / t_1) * (sin((x * single(pi))) / (x * single(pi)));
end
\begin{array}{l}

\\
\begin{array}{l}
t_1 := \left(x \cdot \pi\right) \cdot tau\\
\frac{\sin t\_1}{t\_1} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi}
\end{array}
\end{array}

Alternative 1: 97.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := \left(x \cdot \pi\right) \cdot tau\\ \frac{\sin t\_1}{t\_1} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \end{array} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (let* ((t_1 (* (* x PI) tau)))
   (* (/ (sin t_1) t_1) (/ (sin (* x PI)) (* x PI)))))
float code(float x, float tau) {
	float t_1 = (x * ((float) M_PI)) * tau;
	return (sinf(t_1) / t_1) * (sinf((x * ((float) M_PI))) / (x * ((float) M_PI)));
}
function code(x, tau)
	t_1 = Float32(Float32(x * Float32(pi)) * tau)
	return Float32(Float32(sin(t_1) / t_1) * Float32(sin(Float32(x * Float32(pi))) / Float32(x * Float32(pi))))
end
function tmp = code(x, tau)
	t_1 = (x * single(pi)) * tau;
	tmp = (sin(t_1) / t_1) * (sin((x * single(pi))) / (x * single(pi)));
end
\begin{array}{l}

\\
\begin{array}{l}
t_1 := \left(x \cdot \pi\right) \cdot tau\\
\frac{\sin t\_1}{t\_1} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi}
\end{array}
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Add Preprocessing

Alternative 2: 97.7% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := \left(tau \cdot x\right) \cdot \pi\\ \frac{\sin \left(\pi \cdot x\right) \cdot \sin t\_1}{t\_1 \cdot \left(\pi \cdot x\right)} \end{array} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (let* ((t_1 (* (* tau x) PI)))
   (/ (* (sin (* PI x)) (sin t_1)) (* t_1 (* PI x)))))
float code(float x, float tau) {
	float t_1 = (tau * x) * ((float) M_PI);
	return (sinf((((float) M_PI) * x)) * sinf(t_1)) / (t_1 * (((float) M_PI) * x));
}
function code(x, tau)
	t_1 = Float32(Float32(tau * x) * Float32(pi))
	return Float32(Float32(sin(Float32(Float32(pi) * x)) * sin(t_1)) / Float32(t_1 * Float32(Float32(pi) * x)))
end
function tmp = code(x, tau)
	t_1 = (tau * x) * single(pi);
	tmp = (sin((single(pi) * x)) * sin(t_1)) / (t_1 * (single(pi) * x));
end
\begin{array}{l}

\\
\begin{array}{l}
t_1 := \left(tau \cdot x\right) \cdot \pi\\
\frac{\sin \left(\pi \cdot x\right) \cdot \sin t\_1}{t\_1 \cdot \left(\pi \cdot x\right)}
\end{array}
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \color{blue}{\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi}} \]
    2. lift-/.f32N/A

      \[\leadsto \color{blue}{\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau}} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    3. lift-sin.f32N/A

      \[\leadsto \frac{\color{blue}{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    4. lift-*.f32N/A

      \[\leadsto \frac{\sin \color{blue}{\left(\left(x \cdot \pi\right) \cdot tau\right)}}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    5. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    6. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\color{blue}{\left(x \cdot \mathsf{PI}\left(\right)\right)} \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    7. lift-/.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \color{blue}{\frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi}} \]
    8. lift-sin.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\color{blue}{\sin \left(x \cdot \pi\right)}}{x \cdot \pi} \]
    9. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)}{x \cdot \pi} \]
    10. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \color{blue}{\left(x \cdot \mathsf{PI}\left(\right)\right)}}{x \cdot \pi} \]
    11. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \mathsf{PI}\left(\right)\right)}{x \cdot \color{blue}{\mathsf{PI}\left(\right)}} \]
    12. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \mathsf{PI}\left(\right)\right)}{\color{blue}{x \cdot \mathsf{PI}\left(\right)}} \]
    13. frac-timesN/A

      \[\leadsto \color{blue}{\frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right) \cdot \sin \left(x \cdot \mathsf{PI}\left(\right)\right)}{\left(\left(x \cdot \pi\right) \cdot tau\right) \cdot \left(x \cdot \mathsf{PI}\left(\right)\right)}} \]
  3. Applied rewrites97.7%

    \[\leadsto \color{blue}{\frac{\sin \left(\pi \cdot x\right) \cdot \sin \left(\left(tau \cdot x\right) \cdot \pi\right)}{\left(\left(tau \cdot x\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)}} \]
  4. Add Preprocessing

Alternative 3: 97.3% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := \left(tau \cdot x\right) \cdot \pi\\ \sin t\_1 \cdot \frac{\sin \left(\pi \cdot x\right)}{\left(t\_1 \cdot \pi\right) \cdot x} \end{array} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (let* ((t_1 (* (* tau x) PI)))
   (* (sin t_1) (/ (sin (* PI x)) (* (* t_1 PI) x)))))
float code(float x, float tau) {
	float t_1 = (tau * x) * ((float) M_PI);
	return sinf(t_1) * (sinf((((float) M_PI) * x)) / ((t_1 * ((float) M_PI)) * x));
}
function code(x, tau)
	t_1 = Float32(Float32(tau * x) * Float32(pi))
	return Float32(sin(t_1) * Float32(sin(Float32(Float32(pi) * x)) / Float32(Float32(t_1 * Float32(pi)) * x)))
end
function tmp = code(x, tau)
	t_1 = (tau * x) * single(pi);
	tmp = sin(t_1) * (sin((single(pi) * x)) / ((t_1 * single(pi)) * x));
end
\begin{array}{l}

\\
\begin{array}{l}
t_1 := \left(tau \cdot x\right) \cdot \pi\\
\sin t\_1 \cdot \frac{\sin \left(\pi \cdot x\right)}{\left(t\_1 \cdot \pi\right) \cdot x}
\end{array}
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \color{blue}{\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi}} \]
    2. lift-/.f32N/A

      \[\leadsto \color{blue}{\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau}} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    3. lift-sin.f32N/A

      \[\leadsto \frac{\color{blue}{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    4. lift-*.f32N/A

      \[\leadsto \frac{\sin \color{blue}{\left(\left(x \cdot \pi\right) \cdot tau\right)}}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    5. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    6. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\color{blue}{\left(x \cdot \mathsf{PI}\left(\right)\right)} \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    7. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\color{blue}{\left(x \cdot \pi\right) \cdot tau}} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    8. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    9. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\color{blue}{\left(x \cdot \mathsf{PI}\left(\right)\right)} \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    10. lift-/.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau} \cdot \color{blue}{\frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi}} \]
    11. lift-sin.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau} \cdot \frac{\color{blue}{\sin \left(x \cdot \pi\right)}}{x \cdot \pi} \]
    12. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)}{x \cdot \pi} \]
    13. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau} \cdot \frac{\sin \color{blue}{\left(x \cdot \mathsf{PI}\left(\right)\right)}}{x \cdot \pi} \]
    14. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \mathsf{PI}\left(\right)\right)}{x \cdot \color{blue}{\mathsf{PI}\left(\right)}} \]
    15. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right)}{\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \mathsf{PI}\left(\right)\right)}{\color{blue}{x \cdot \mathsf{PI}\left(\right)}} \]
  3. Applied rewrites97.8%

    \[\leadsto \color{blue}{\frac{\frac{\sin \left(\left(tau \cdot x\right) \cdot \pi\right)}{\left(tau \cdot x\right) \cdot \pi} \cdot \sin \left(\pi \cdot x\right)}{\pi \cdot x}} \]
  4. Applied rewrites97.7%

    \[\leadsto \color{blue}{\frac{\sin \left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \sin \left(\pi \cdot x\right)}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)}} \]
  5. Step-by-step derivation
    1. lift-/.f32N/A

      \[\leadsto \color{blue}{\frac{\sin \left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \sin \left(\pi \cdot x\right)}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)}} \]
    2. lift-*.f32N/A

      \[\leadsto \frac{\color{blue}{\sin \left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \sin \left(\pi \cdot x\right)}}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)} \]
    3. lift-sin.f32N/A

      \[\leadsto \frac{\color{blue}{\sin \left(\left(x \cdot tau\right) \cdot \pi\right)} \cdot \sin \left(\pi \cdot x\right)}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)} \]
    4. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\color{blue}{\left(x \cdot tau\right)} \cdot \pi\right) \cdot \sin \left(\pi \cdot x\right)}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)} \]
    5. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot tau\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot \sin \left(\pi \cdot x\right)}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)} \]
    6. lift-*.f32N/A

      \[\leadsto \frac{\sin \color{blue}{\left(\left(x \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot \sin \left(\pi \cdot x\right)}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)} \]
    7. lift-sin.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\sin \left(\pi \cdot x\right)}}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)} \]
    8. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sin \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot x\right)}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)} \]
    9. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sin \color{blue}{\left(\mathsf{PI}\left(\right) \cdot x\right)}}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)} \]
    10. associate-/l*N/A

      \[\leadsto \color{blue}{\sin \left(\left(x \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{\sin \left(\mathsf{PI}\left(\right) \cdot x\right)}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)}} \]
    11. lower-*.f32N/A

      \[\leadsto \color{blue}{\sin \left(\left(x \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{\sin \left(\mathsf{PI}\left(\right) \cdot x\right)}{\left(\left(x \cdot tau\right) \cdot \pi\right) \cdot \left(\pi \cdot x\right)}} \]
  6. Applied rewrites97.3%

    \[\leadsto \color{blue}{\sin \left(\left(tau \cdot x\right) \cdot \pi\right) \cdot \frac{\sin \left(\pi \cdot x\right)}{\left(\left(\left(tau \cdot x\right) \cdot \pi\right) \cdot \pi\right) \cdot x}} \]
  7. Add Preprocessing

Alternative 4: 96.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sin \left(\left(tau \cdot x\right) \cdot \pi\right) \cdot \frac{\sin \left(\pi \cdot x\right)}{\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot tau} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (* (sin (* (* tau x) PI)) (/ (sin (* PI x)) (* (* (* PI PI) (* x x)) tau))))
float code(float x, float tau) {
	return sinf(((tau * x) * ((float) M_PI))) * (sinf((((float) M_PI) * x)) / (((((float) M_PI) * ((float) M_PI)) * (x * x)) * tau));
}
function code(x, tau)
	return Float32(sin(Float32(Float32(tau * x) * Float32(pi))) * Float32(sin(Float32(Float32(pi) * x)) / Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(x * x)) * tau)))
end
function tmp = code(x, tau)
	tmp = sin(((tau * x) * single(pi))) * (sin((single(pi) * x)) / (((single(pi) * single(pi)) * (x * x)) * tau));
end
\begin{array}{l}

\\
\sin \left(\left(tau \cdot x\right) \cdot \pi\right) \cdot \frac{\sin \left(\pi \cdot x\right)}{\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot tau}
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around inf

    \[\leadsto \color{blue}{\frac{\sin \left(tau \cdot \left(x \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \left(x \cdot \mathsf{PI}\left(\right)\right)}{tau \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)}} \]
  3. Step-by-step derivation
    1. associate-/l*N/A

      \[\leadsto \sin \left(tau \cdot \left(x \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \color{blue}{\frac{\sin \left(x \cdot \mathsf{PI}\left(\right)\right)}{tau \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)}} \]
    2. *-commutativeN/A

      \[\leadsto \sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right) \cdot \frac{\sin \color{blue}{\left(x \cdot \mathsf{PI}\left(\right)\right)}}{tau \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)} \]
    3. lower-*.f32N/A

      \[\leadsto \sin \left(\left(x \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right) \cdot \color{blue}{\frac{\sin \left(x \cdot \mathsf{PI}\left(\right)\right)}{tau \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)}} \]
  4. Applied rewrites96.9%

    \[\leadsto \color{blue}{\sin \left(\left(tau \cdot x\right) \cdot \pi\right) \cdot \frac{\sin \left(\pi \cdot x\right)}{\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot tau}} \]
  5. Add Preprocessing

Alternative 5: 91.1% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := \left(x \cdot \pi\right) \cdot tau\\ \frac{\sin t\_1}{t\_1} \cdot \mathsf{fma}\left(\mathsf{fma}\left(0.008333333333333333 \cdot \left(x \cdot x\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -0.16666666666666666\right), x \cdot x, 1\right) \end{array} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (let* ((t_1 (* (* x PI) tau)))
   (*
    (/ (sin t_1) t_1)
    (fma
     (fma
      (* 0.008333333333333333 (* x x))
      (* (* PI PI) (* PI PI))
      (* (* PI PI) -0.16666666666666666))
     (* x x)
     1.0))))
float code(float x, float tau) {
	float t_1 = (x * ((float) M_PI)) * tau;
	return (sinf(t_1) / t_1) * fmaf(fmaf((0.008333333333333333f * (x * x)), ((((float) M_PI) * ((float) M_PI)) * (((float) M_PI) * ((float) M_PI))), ((((float) M_PI) * ((float) M_PI)) * -0.16666666666666666f)), (x * x), 1.0f);
}
function code(x, tau)
	t_1 = Float32(Float32(x * Float32(pi)) * tau)
	return Float32(Float32(sin(t_1) / t_1) * fma(fma(Float32(Float32(0.008333333333333333) * Float32(x * x)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(Float32(pi) * Float32(pi))), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(-0.16666666666666666))), Float32(x * x), Float32(1.0)))
end
\begin{array}{l}

\\
\begin{array}{l}
t_1 := \left(x \cdot \pi\right) \cdot tau\\
\frac{\sin t\_1}{t\_1} \cdot \mathsf{fma}\left(\mathsf{fma}\left(0.008333333333333333 \cdot \left(x \cdot x\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -0.16666666666666666\right), x \cdot x, 1\right)
\end{array}
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around 0

    \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{120} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right)\right)\right)} \]
  3. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \left({x}^{2} \cdot \left(\frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{120} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right)\right) + \color{blue}{1}\right) \]
    2. *-commutativeN/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \left(\left(\frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{120} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right)\right) \cdot {x}^{2} + 1\right) \]
    3. lower-fma.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \mathsf{fma}\left(\frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{120} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{x}^{2}}, 1\right) \]
  4. Applied rewrites91.1%

    \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.008333333333333333 \cdot \left(x \cdot x\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -0.16666666666666666\right), x \cdot x, 1\right)} \]
  5. Add Preprocessing

Alternative 6: 85.0% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := \left(x \cdot \pi\right) \cdot tau\\ \frac{\sin t\_1}{t\_1} \cdot \mathsf{fma}\left(-0.16666666666666666 \cdot \left(x \cdot x\right), \pi \cdot \pi, 1\right) \end{array} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (let* ((t_1 (* (* x PI) tau)))
   (* (/ (sin t_1) t_1) (fma (* -0.16666666666666666 (* x x)) (* PI PI) 1.0))))
float code(float x, float tau) {
	float t_1 = (x * ((float) M_PI)) * tau;
	return (sinf(t_1) / t_1) * fmaf((-0.16666666666666666f * (x * x)), (((float) M_PI) * ((float) M_PI)), 1.0f);
}
function code(x, tau)
	t_1 = Float32(Float32(x * Float32(pi)) * tau)
	return Float32(Float32(sin(t_1) / t_1) * fma(Float32(Float32(-0.16666666666666666) * Float32(x * x)), Float32(Float32(pi) * Float32(pi)), Float32(1.0)))
end
\begin{array}{l}

\\
\begin{array}{l}
t_1 := \left(x \cdot \pi\right) \cdot tau\\
\frac{\sin t\_1}{t\_1} \cdot \mathsf{fma}\left(-0.16666666666666666 \cdot \left(x \cdot x\right), \pi \cdot \pi, 1\right)
\end{array}
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around 0

    \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \color{blue}{\left(1 + \frac{-1}{6} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)} \]
  3. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \left(\frac{-1}{6} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \color{blue}{1}\right) \]
    2. associate-*r*N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \left(\left(\frac{-1}{6} \cdot {x}^{2}\right) \cdot {\mathsf{PI}\left(\right)}^{2} + 1\right) \]
    3. lower-fma.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \mathsf{fma}\left(\frac{-1}{6} \cdot {x}^{2}, \color{blue}{{\mathsf{PI}\left(\right)}^{2}}, 1\right) \]
    4. lower-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \mathsf{fma}\left(\frac{-1}{6} \cdot {x}^{2}, {\color{blue}{\mathsf{PI}\left(\right)}}^{2}, 1\right) \]
    5. unpow2N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \mathsf{fma}\left(\frac{-1}{6} \cdot \left(x \cdot x\right), {\mathsf{PI}\left(\right)}^{2}, 1\right) \]
    6. lower-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \mathsf{fma}\left(\frac{-1}{6} \cdot \left(x \cdot x\right), {\mathsf{PI}\left(\right)}^{2}, 1\right) \]
    7. unpow2N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \mathsf{fma}\left(\frac{-1}{6} \cdot \left(x \cdot x\right), \mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, 1\right) \]
    8. lower-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \mathsf{fma}\left(\frac{-1}{6} \cdot \left(x \cdot x\right), \mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, 1\right) \]
    9. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \mathsf{fma}\left(\frac{-1}{6} \cdot \left(x \cdot x\right), \pi \cdot \mathsf{PI}\left(\right), 1\right) \]
    10. lift-PI.f3285.0

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \mathsf{fma}\left(-0.16666666666666666 \cdot \left(x \cdot x\right), \pi \cdot \pi, 1\right) \]
  4. Applied rewrites85.0%

    \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \left(x \cdot x\right), \pi \cdot \pi, 1\right)} \]
  5. Add Preprocessing

Alternative 7: 79.4% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(-0.16666666666666666 \cdot \left(tau \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (*
  (fma (* -0.16666666666666666 (* tau tau)) (* (* (* PI PI) x) x) 1.0)
  (/ (sin (* x PI)) (* x PI))))
float code(float x, float tau) {
	return fmaf((-0.16666666666666666f * (tau * tau)), (((((float) M_PI) * ((float) M_PI)) * x) * x), 1.0f) * (sinf((x * ((float) M_PI))) / (x * ((float) M_PI)));
}
function code(x, tau)
	return Float32(fma(Float32(Float32(-0.16666666666666666) * Float32(tau * tau)), Float32(Float32(Float32(Float32(pi) * Float32(pi)) * x) * x), Float32(1.0)) * Float32(sin(Float32(x * Float32(pi))) / Float32(x * Float32(pi))))
end
\begin{array}{l}

\\
\mathsf{fma}\left(-0.16666666666666666 \cdot \left(tau \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi}
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \frac{\sin \color{blue}{\left(\left(x \cdot \pi\right) \cdot tau\right)}}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    2. lift-PI.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    3. lift-*.f32N/A

      \[\leadsto \frac{\sin \left(\color{blue}{\left(x \cdot \mathsf{PI}\left(\right)\right)} \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    4. *-commutativeN/A

      \[\leadsto \frac{\sin \color{blue}{\left(tau \cdot \left(x \cdot \mathsf{PI}\left(\right)\right)\right)}}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    5. associate-*r*N/A

      \[\leadsto \frac{\sin \color{blue}{\left(\left(tau \cdot x\right) \cdot \mathsf{PI}\left(\right)\right)}}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    6. lower-*.f32N/A

      \[\leadsto \frac{\sin \color{blue}{\left(\left(tau \cdot x\right) \cdot \mathsf{PI}\left(\right)\right)}}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    7. lower-*.f32N/A

      \[\leadsto \frac{\sin \left(\color{blue}{\left(tau \cdot x\right)} \cdot \mathsf{PI}\left(\right)\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    8. lift-PI.f3297.2

      \[\leadsto \frac{\sin \left(\left(tau \cdot x\right) \cdot \color{blue}{\pi}\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  3. Applied rewrites97.2%

    \[\leadsto \frac{\color{blue}{\sin \left(\left(tau \cdot x\right) \cdot \pi\right)}}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  4. Taylor expanded in x around 0

    \[\leadsto \color{blue}{\left(1 + \frac{-1}{6} \cdot \left({tau}^{2} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)\right)} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  5. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right) + \color{blue}{1}\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    2. associate-*r*N/A

      \[\leadsto \left(\left(\frac{-1}{6} \cdot {tau}^{2}\right) \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    3. lower-fma.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot {tau}^{2}, \color{blue}{{x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}}, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    4. lower-*.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot {tau}^{2}, \color{blue}{{x}^{2}} \cdot {\mathsf{PI}\left(\right)}^{2}, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    5. unpow2N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), {x}^{\color{blue}{2}} \cdot {\mathsf{PI}\left(\right)}^{2}, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    6. lower-*.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), {x}^{\color{blue}{2}} \cdot {\mathsf{PI}\left(\right)}^{2}, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    7. *-commutativeN/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), {\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{{x}^{2}}, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    8. pow2N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), {\mathsf{PI}\left(\right)}^{2} \cdot \left(x \cdot \color{blue}{x}\right), 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    9. associate-*r*N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), \left({\mathsf{PI}\left(\right)}^{2} \cdot x\right) \cdot \color{blue}{x}, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    10. lower-*.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), \left({\mathsf{PI}\left(\right)}^{2} \cdot x\right) \cdot \color{blue}{x}, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    11. lower-*.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), \left({\mathsf{PI}\left(\right)}^{2} \cdot x\right) \cdot x, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    12. pow2N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot x\right) \cdot x, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    13. lift-*.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot x\right) \cdot x, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    14. lift-PI.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(tau \cdot tau\right), \left(\left(\pi \cdot \mathsf{PI}\left(\right)\right) \cdot x\right) \cdot x, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    15. lift-PI.f3279.4

      \[\leadsto \mathsf{fma}\left(-0.16666666666666666 \cdot \left(tau \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, 1\right) \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  6. Applied rewrites79.4%

    \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \left(tau \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, 1\right)} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  7. Add Preprocessing

Alternative 8: 78.6% accurate, 1.7× speedup?

\[\begin{array}{l} \\ \frac{\mathsf{fma}\left(-0.16666666666666666 \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, -0.16666666666666666, \pi\right) \cdot x}{x}}{\pi \cdot tau} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (/
  (*
   (fma (* -0.16666666666666666 (* (* tau tau) tau)) (* (* (* PI PI) x) x) tau)
   (/ (* (fma (* (* (* PI PI) (* x x)) PI) -0.16666666666666666 PI) x) x))
  (* PI tau)))
float code(float x, float tau) {
	return (fmaf((-0.16666666666666666f * ((tau * tau) * tau)), (((((float) M_PI) * ((float) M_PI)) * x) * x), tau) * ((fmaf((((((float) M_PI) * ((float) M_PI)) * (x * x)) * ((float) M_PI)), -0.16666666666666666f, ((float) M_PI)) * x) / x)) / (((float) M_PI) * tau);
}
function code(x, tau)
	return Float32(Float32(fma(Float32(Float32(-0.16666666666666666) * Float32(Float32(tau * tau) * tau)), Float32(Float32(Float32(Float32(pi) * Float32(pi)) * x) * x), tau) * Float32(Float32(fma(Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(x * x)) * Float32(pi)), Float32(-0.16666666666666666), Float32(pi)) * x) / x)) / Float32(Float32(pi) * tau))
end
\begin{array}{l}

\\
\frac{\mathsf{fma}\left(-0.16666666666666666 \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, -0.16666666666666666, \pi\right) \cdot x}{x}}{\pi \cdot tau}
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around 0

    \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\color{blue}{x \cdot \left(\mathsf{PI}\left(\right) + \frac{-1}{6} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right)\right)}}{x \cdot \pi} \]
  3. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\left(\mathsf{PI}\left(\right) + \frac{-1}{6} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right)\right) \cdot \color{blue}{x}}{x \cdot \pi} \]
    2. lower-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\left(\mathsf{PI}\left(\right) + \frac{-1}{6} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right)\right) \cdot \color{blue}{x}}{x \cdot \pi} \]
  4. Applied rewrites84.7%

    \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\color{blue}{\mathsf{fma}\left(\left(x \cdot x\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -0.16666666666666666, \pi\right) \cdot x}}{x \cdot \pi} \]
  5. Applied rewrites84.2%

    \[\leadsto \color{blue}{\frac{\frac{\sin \left(\left(x \cdot tau\right) \cdot \pi\right)}{\pi \cdot x} \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, -0.16666666666666666, \pi\right) \cdot x}{x}}{\pi \cdot tau}} \]
  6. Taylor expanded in x around 0

    \[\leadsto \frac{\color{blue}{\left(tau + \frac{-1}{6} \cdot \left({tau}^{3} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)\right)} \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
  7. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto \frac{\left(\frac{-1}{6} \cdot \left({tau}^{3} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right) + \color{blue}{tau}\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    2. associate-*r*N/A

      \[\leadsto \frac{\left(\left(\frac{-1}{6} \cdot {tau}^{3}\right) \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    3. lower-fma.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot {tau}^{3}, \color{blue}{{x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    4. lower-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot {tau}^{3}, \color{blue}{{x}^{2}} \cdot {\mathsf{PI}\left(\right)}^{2}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    5. unpow3N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), {x}^{\color{blue}{2}} \cdot {\mathsf{PI}\left(\right)}^{2}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    6. unpow2N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot tau\right), {x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    7. lower-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot tau\right), {x}^{\color{blue}{2}} \cdot {\mathsf{PI}\left(\right)}^{2}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    8. unpow2N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), {x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    9. lower-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), {x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    10. *-commutativeN/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), {\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{{x}^{2}}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    11. pow2N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), {\mathsf{PI}\left(\right)}^{2} \cdot \left(x \cdot \color{blue}{x}\right), tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    12. associate-*r*N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left({\mathsf{PI}\left(\right)}^{2} \cdot x\right) \cdot \color{blue}{x}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    13. lower-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left({\mathsf{PI}\left(\right)}^{2} \cdot x\right) \cdot \color{blue}{x}, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    14. lower-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left({\mathsf{PI}\left(\right)}^{2} \cdot x\right) \cdot x, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    15. pow2N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot x\right) \cdot x, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    16. lift-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot x\right) \cdot x, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    17. lift-PI.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left(\left(\pi \cdot \mathsf{PI}\left(\right)\right) \cdot x\right) \cdot x, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    18. lift-PI.f3278.6

      \[\leadsto \frac{\mathsf{fma}\left(-0.16666666666666666 \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, -0.16666666666666666, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
  8. Applied rewrites78.6%

    \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \left(\left(tau \cdot tau\right) \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, tau\right)} \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, -0.16666666666666666, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
  9. Add Preprocessing

Alternative 9: 78.6% accurate, 1.7× speedup?

\[\begin{array}{l} \\ \frac{\left(\mathsf{fma}\left(-0.16666666666666666 \cdot \left(tau \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, 1\right) \cdot tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, -0.16666666666666666, \pi\right) \cdot x}{x}}{\pi \cdot tau} \end{array} \]
(FPCore (x tau)
 :precision binary32
 (/
  (*
   (* (fma (* -0.16666666666666666 (* tau tau)) (* (* (* PI PI) x) x) 1.0) tau)
   (/ (* (fma (* (* (* PI PI) (* x x)) PI) -0.16666666666666666 PI) x) x))
  (* PI tau)))
float code(float x, float tau) {
	return ((fmaf((-0.16666666666666666f * (tau * tau)), (((((float) M_PI) * ((float) M_PI)) * x) * x), 1.0f) * tau) * ((fmaf((((((float) M_PI) * ((float) M_PI)) * (x * x)) * ((float) M_PI)), -0.16666666666666666f, ((float) M_PI)) * x) / x)) / (((float) M_PI) * tau);
}
function code(x, tau)
	return Float32(Float32(Float32(fma(Float32(Float32(-0.16666666666666666) * Float32(tau * tau)), Float32(Float32(Float32(Float32(pi) * Float32(pi)) * x) * x), Float32(1.0)) * tau) * Float32(Float32(fma(Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(x * x)) * Float32(pi)), Float32(-0.16666666666666666), Float32(pi)) * x) / x)) / Float32(Float32(pi) * tau))
end
\begin{array}{l}

\\
\frac{\left(\mathsf{fma}\left(-0.16666666666666666 \cdot \left(tau \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, 1\right) \cdot tau\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, -0.16666666666666666, \pi\right) \cdot x}{x}}{\pi \cdot tau}
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around 0

    \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\color{blue}{x \cdot \left(\mathsf{PI}\left(\right) + \frac{-1}{6} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right)\right)}}{x \cdot \pi} \]
  3. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\left(\mathsf{PI}\left(\right) + \frac{-1}{6} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right)\right) \cdot \color{blue}{x}}{x \cdot \pi} \]
    2. lower-*.f32N/A

      \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\left(\mathsf{PI}\left(\right) + \frac{-1}{6} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right)\right) \cdot \color{blue}{x}}{x \cdot \pi} \]
  4. Applied rewrites84.7%

    \[\leadsto \frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\color{blue}{\mathsf{fma}\left(\left(x \cdot x\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -0.16666666666666666, \pi\right) \cdot x}}{x \cdot \pi} \]
  5. Applied rewrites84.2%

    \[\leadsto \color{blue}{\frac{\frac{\sin \left(\left(x \cdot tau\right) \cdot \pi\right)}{\pi \cdot x} \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, -0.16666666666666666, \pi\right) \cdot x}{x}}{\pi \cdot tau}} \]
  6. Taylor expanded in tau around 0

    \[\leadsto \frac{\color{blue}{\left(tau \cdot \left(1 + \frac{-1}{6} \cdot \left({tau}^{2} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)\right)\right)} \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
  7. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \frac{\left(\left(1 + \frac{-1}{6} \cdot \left({tau}^{2} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)\right) \cdot \color{blue}{tau}\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
    2. lower-*.f32N/A

      \[\leadsto \frac{\left(\left(1 + \frac{-1}{6} \cdot \left({tau}^{2} \cdot \left({x}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)\right) \cdot \color{blue}{tau}\right) \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, \frac{-1}{6}, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
  8. Applied rewrites78.6%

    \[\leadsto \frac{\color{blue}{\left(\mathsf{fma}\left(-0.16666666666666666 \cdot \left(tau \cdot tau\right), \left(\left(\pi \cdot \pi\right) \cdot x\right) \cdot x, 1\right) \cdot tau\right)} \cdot \frac{\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right)\right) \cdot \pi, -0.16666666666666666, \pi\right) \cdot x}{x}}{\pi \cdot tau} \]
  9. Add Preprocessing

Alternative 10: 78.6% accurate, 3.6× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(-0.16666666666666666 \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right), x \cdot x, 1\right) \end{array} \]
(FPCore (x tau)
 :precision binary32
 (fma
  (* -0.16666666666666666 (fma (* PI tau) (* PI tau) (* PI PI)))
  (* x x)
  1.0))
float code(float x, float tau) {
	return fmaf((-0.16666666666666666f * fmaf((((float) M_PI) * tau), (((float) M_PI) * tau), (((float) M_PI) * ((float) M_PI)))), (x * x), 1.0f);
}
function code(x, tau)
	return fma(Float32(Float32(-0.16666666666666666) * fma(Float32(Float32(pi) * tau), Float32(Float32(pi) * tau), Float32(Float32(pi) * Float32(pi)))), Float32(x * x), Float32(1.0))
end
\begin{array}{l}

\\
\mathsf{fma}\left(-0.16666666666666666 \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right), x \cdot x, 1\right)
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around 0

    \[\leadsto \color{blue}{1 + {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right)} \]
  3. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \color{blue}{1} \]
    2. *-commutativeN/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {x}^{2} + 1 \]
    3. lower-fma.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}, \color{blue}{{x}^{2}}, 1\right) \]
  4. Applied rewrites78.6%

    \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right), x \cdot x, 1\right)} \]
  5. Add Preprocessing

Alternative 11: 78.6% accurate, 4.0× speedup?

\[\begin{array}{l} \\ 1 - 0.16666666666666666 \cdot \left(\left(\mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right)\right) \end{array} \]
(FPCore (x tau)
 :precision binary32
 (- 1.0 (* 0.16666666666666666 (* (* (fma tau tau 1.0) (* PI PI)) (* x x)))))
float code(float x, float tau) {
	return 1.0f - (0.16666666666666666f * ((fmaf(tau, tau, 1.0f) * (((float) M_PI) * ((float) M_PI))) * (x * x)));
}
function code(x, tau)
	return Float32(Float32(1.0) - Float32(Float32(0.16666666666666666) * Float32(Float32(fma(tau, tau, Float32(1.0)) * Float32(Float32(pi) * Float32(pi))) * Float32(x * x))))
end
\begin{array}{l}

\\
1 - 0.16666666666666666 \cdot \left(\left(\mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right)\right)
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around 0

    \[\leadsto \color{blue}{1 + {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right)} \]
  3. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \color{blue}{1} \]
    2. *-commutativeN/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {x}^{2} + 1 \]
    3. lower-fma.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}, \color{blue}{{x}^{2}}, 1\right) \]
  4. Applied rewrites78.6%

    \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right), x \cdot x, 1\right)} \]
  5. Applied rewrites78.6%

    \[\leadsto 1 - \color{blue}{0.16666666666666666 \cdot \left(\left(\mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right)\right)} \]
  6. Add Preprocessing

Alternative 12: 78.6% accurate, 4.1× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\left(\left(\mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot -0.16666666666666666\right) \cdot x, x, 1\right) \end{array} \]
(FPCore (x tau)
 :precision binary32
 (fma (* (* (* (fma tau tau 1.0) (* PI PI)) -0.16666666666666666) x) x 1.0))
float code(float x, float tau) {
	return fmaf((((fmaf(tau, tau, 1.0f) * (((float) M_PI) * ((float) M_PI))) * -0.16666666666666666f) * x), x, 1.0f);
}
function code(x, tau)
	return fma(Float32(Float32(Float32(fma(tau, tau, Float32(1.0)) * Float32(Float32(pi) * Float32(pi))) * Float32(-0.16666666666666666)) * x), x, Float32(1.0))
end
\begin{array}{l}

\\
\mathsf{fma}\left(\left(\left(\mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot -0.16666666666666666\right) \cdot x, x, 1\right)
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around 0

    \[\leadsto \color{blue}{1 + {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right)} \]
  3. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \color{blue}{1} \]
    2. *-commutativeN/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {x}^{2} + 1 \]
    3. lower-fma.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}, \color{blue}{{x}^{2}}, 1\right) \]
  4. Applied rewrites78.6%

    \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right), x \cdot x, 1\right)} \]
  5. Step-by-step derivation
    1. lift-fma.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + \color{blue}{1} \]
    2. lift-*.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + 1 \]
    3. lift-fma.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left(\left(\pi \cdot tau\right) \cdot \left(\pi \cdot tau\right) + \pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + 1 \]
    4. lift-PI.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\pi \cdot tau\right) + \pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + 1 \]
    5. lift-*.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\pi \cdot tau\right) + \pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + 1 \]
    6. lift-PI.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\mathsf{PI}\left(\right) \cdot tau\right) + \pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + 1 \]
    7. lift-*.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\mathsf{PI}\left(\right) \cdot tau\right) + \pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + 1 \]
    8. lift-PI.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\mathsf{PI}\left(\right) \cdot tau\right) + \mathsf{PI}\left(\right) \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + 1 \]
    9. lift-PI.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\mathsf{PI}\left(\right) \cdot tau\right) + \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \left(x \cdot x\right) + 1 \]
    10. lift-*.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\mathsf{PI}\left(\right) \cdot tau\right) + \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \left(x \cdot x\right) + 1 \]
    11. lift-*.f32N/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\mathsf{PI}\left(\right) \cdot tau\right) + \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \left(x \cdot x\right) + 1 \]
  6. Applied rewrites78.6%

    \[\leadsto \mathsf{fma}\left(\left(\left(\mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot -0.16666666666666666\right) \cdot x, \color{blue}{x}, 1\right) \]
  7. Add Preprocessing

Alternative 13: 78.6% accurate, 4.1× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(-0.16666666666666666 \cdot \left(x \cdot x\right), \mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right), 1\right) \end{array} \]
(FPCore (x tau)
 :precision binary32
 (fma (* -0.16666666666666666 (* x x)) (* (fma tau tau 1.0) (* PI PI)) 1.0))
float code(float x, float tau) {
	return fmaf((-0.16666666666666666f * (x * x)), (fmaf(tau, tau, 1.0f) * (((float) M_PI) * ((float) M_PI))), 1.0f);
}
function code(x, tau)
	return fma(Float32(Float32(-0.16666666666666666) * Float32(x * x)), Float32(fma(tau, tau, Float32(1.0)) * Float32(Float32(pi) * Float32(pi))), Float32(1.0))
end
\begin{array}{l}

\\
\mathsf{fma}\left(-0.16666666666666666 \cdot \left(x \cdot x\right), \mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right), 1\right)
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around 0

    \[\leadsto \color{blue}{1 + {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right)} \]
  3. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \color{blue}{1} \]
    2. *-commutativeN/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {x}^{2} + 1 \]
    3. lower-fma.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}, \color{blue}{{x}^{2}}, 1\right) \]
  4. Applied rewrites78.6%

    \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right), x \cdot x, 1\right)} \]
  5. Applied rewrites78.6%

    \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \left(x \cdot x\right), \mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right), 1\right)} \]
  6. Add Preprocessing

Alternative 14: 78.6% accurate, 4.1× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\left(\mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot -0.16666666666666666, x \cdot x, 1\right) \end{array} \]
(FPCore (x tau)
 :precision binary32
 (fma (* (* (fma tau tau 1.0) (* PI PI)) -0.16666666666666666) (* x x) 1.0))
float code(float x, float tau) {
	return fmaf(((fmaf(tau, tau, 1.0f) * (((float) M_PI) * ((float) M_PI))) * -0.16666666666666666f), (x * x), 1.0f);
}
function code(x, tau)
	return fma(Float32(Float32(fma(tau, tau, Float32(1.0)) * Float32(Float32(pi) * Float32(pi))) * Float32(-0.16666666666666666)), Float32(x * x), Float32(1.0))
end
\begin{array}{l}

\\
\mathsf{fma}\left(\left(\mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot -0.16666666666666666, x \cdot x, 1\right)
\end{array}
Derivation
  1. Initial program 97.9%

    \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
  2. Taylor expanded in x around 0

    \[\leadsto \color{blue}{1 + {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right)} \]
  3. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \color{blue}{1} \]
    2. *-commutativeN/A

      \[\leadsto \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {x}^{2} + 1 \]
    3. lower-fma.f32N/A

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}, \color{blue}{{x}^{2}}, 1\right) \]
  4. Applied rewrites78.6%

    \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right), x \cdot x, 1\right)} \]
  5. Step-by-step derivation
    1. Applied rewrites78.6%

      \[\leadsto \mathsf{fma}\left(\left(\mathsf{fma}\left(tau, tau, 1\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot -0.16666666666666666, \color{blue}{x \cdot x}, 1\right) \]
    2. Add Preprocessing

    Alternative 15: 69.7% accurate, 4.5× speedup?

    \[\begin{array}{l} \\ \mathsf{fma}\left(-0.16666666666666666 \cdot \left(\left(\left(\pi \cdot tau\right) \cdot \pi\right) \cdot tau\right), x \cdot x, 1\right) \end{array} \]
    (FPCore (x tau)
     :precision binary32
     (fma (* -0.16666666666666666 (* (* (* PI tau) PI) tau)) (* x x) 1.0))
    float code(float x, float tau) {
    	return fmaf((-0.16666666666666666f * (((((float) M_PI) * tau) * ((float) M_PI)) * tau)), (x * x), 1.0f);
    }
    
    function code(x, tau)
    	return fma(Float32(Float32(-0.16666666666666666) * Float32(Float32(Float32(Float32(pi) * tau) * Float32(pi)) * tau)), Float32(x * x), Float32(1.0))
    end
    
    \begin{array}{l}
    
    \\
    \mathsf{fma}\left(-0.16666666666666666 \cdot \left(\left(\left(\pi \cdot tau\right) \cdot \pi\right) \cdot tau\right), x \cdot x, 1\right)
    \end{array}
    
    Derivation
    1. Initial program 97.9%

      \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    2. Taylor expanded in x around 0

      \[\leadsto \color{blue}{1 + {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right)} \]
    3. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \color{blue}{1} \]
      2. *-commutativeN/A

        \[\leadsto \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {x}^{2} + 1 \]
      3. lower-fma.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}, \color{blue}{{x}^{2}}, 1\right) \]
    4. Applied rewrites78.6%

      \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right), x \cdot x, 1\right)} \]
    5. Taylor expanded in tau around inf

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right), x \cdot x, 1\right) \]
    6. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot {tau}^{2}\right), x \cdot x, 1\right) \]
      2. pow2N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot {tau}^{2}\right), x \cdot x, 1\right) \]
      3. unpow2N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \left(tau \cdot tau\right)\right), x \cdot x, 1\right) \]
      4. swap-sqrN/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\mathsf{PI}\left(\right) \cdot tau\right)\right), x \cdot x, 1\right) \]
      5. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \left(\mathsf{PI}\left(\right) \cdot tau\right)\right), x \cdot x, 1\right) \]
      6. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\pi \cdot tau\right) \cdot \left(\mathsf{PI}\left(\right) \cdot tau\right)\right), x \cdot x, 1\right) \]
      7. associate-*r*N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\left(\pi \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right), x \cdot x, 1\right) \]
      8. lower-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\left(\pi \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right), x \cdot x, 1\right) \]
      9. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right), x \cdot x, 1\right) \]
      10. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right), x \cdot x, 1\right) \]
      11. *-commutativeN/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\left(tau \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right), x \cdot x, 1\right) \]
      12. lower-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\left(tau \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right), x \cdot x, 1\right) \]
      13. *-commutativeN/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right), x \cdot x, 1\right) \]
      14. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\left(\mathsf{PI}\left(\right) \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right), x \cdot x, 1\right) \]
      15. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\left(\left(\pi \cdot tau\right) \cdot \mathsf{PI}\left(\right)\right) \cdot tau\right), x \cdot x, 1\right) \]
      16. lift-PI.f3269.7

        \[\leadsto \mathsf{fma}\left(-0.16666666666666666 \cdot \left(\left(\left(\pi \cdot tau\right) \cdot \pi\right) \cdot tau\right), x \cdot x, 1\right) \]
    7. Applied rewrites69.7%

      \[\leadsto \mathsf{fma}\left(-0.16666666666666666 \cdot \left(\left(\left(\pi \cdot tau\right) \cdot \pi\right) \cdot tau\right), x \cdot x, 1\right) \]
    8. Add Preprocessing

    Alternative 16: 64.6% accurate, 6.3× speedup?

    \[\begin{array}{l} \\ \mathsf{fma}\left(-0.16666666666666666, \left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right), 1\right) \end{array} \]
    (FPCore (x tau)
     :precision binary32
     (fma -0.16666666666666666 (* (* PI PI) (* x x)) 1.0))
    float code(float x, float tau) {
    	return fmaf(-0.16666666666666666f, ((((float) M_PI) * ((float) M_PI)) * (x * x)), 1.0f);
    }
    
    function code(x, tau)
    	return fma(Float32(-0.16666666666666666), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(x * x)), Float32(1.0))
    end
    
    \begin{array}{l}
    
    \\
    \mathsf{fma}\left(-0.16666666666666666, \left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right), 1\right)
    \end{array}
    
    Derivation
    1. Initial program 97.9%

      \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    2. Taylor expanded in x around 0

      \[\leadsto \color{blue}{1 + {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right)} \]
    3. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto {x}^{2} \cdot \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \color{blue}{1} \]
      2. *-commutativeN/A

        \[\leadsto \left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {x}^{2} + 1 \]
      3. lower-fma.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left({tau}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}, \color{blue}{{x}^{2}}, 1\right) \]
    4. Applied rewrites78.6%

      \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666 \cdot \mathsf{fma}\left(\pi \cdot tau, \pi \cdot tau, \pi \cdot \pi\right), x \cdot x, 1\right)} \]
    5. Taylor expanded in tau around 0

      \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot {\mathsf{PI}\left(\right)}^{2}, x \cdot x, 1\right) \]
    6. Step-by-step derivation
      1. pow2N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right), x \cdot x, 1\right) \]
      2. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right), x \cdot x, 1\right) \]
      3. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6} \cdot \left(\pi \cdot \mathsf{PI}\left(\right)\right), x \cdot x, 1\right) \]
      4. lift-PI.f3264.6

        \[\leadsto \mathsf{fma}\left(-0.16666666666666666 \cdot \left(\pi \cdot \pi\right), x \cdot x, 1\right) \]
    7. Applied rewrites64.6%

      \[\leadsto \mathsf{fma}\left(-0.16666666666666666 \cdot \left(\pi \cdot \pi\right), x \cdot x, 1\right) \]
    8. Step-by-step derivation
      1. lift-fma.f32N/A

        \[\leadsto \left(\frac{-1}{6} \cdot \left(\pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + \color{blue}{1} \]
      2. lift-*.f32N/A

        \[\leadsto \left(\frac{-1}{6} \cdot \left(\pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + 1 \]
      3. lift-*.f32N/A

        \[\leadsto \left(\frac{-1}{6} \cdot \left(\pi \cdot \pi\right)\right) \cdot \left(x \cdot x\right) + 1 \]
      4. pow2N/A

        \[\leadsto \left(\frac{-1}{6} \cdot \left(\pi \cdot \pi\right)\right) \cdot {x}^{2} + 1 \]
      5. associate-*l*N/A

        \[\leadsto \frac{-1}{6} \cdot \left(\left(\pi \cdot \pi\right) \cdot {x}^{2}\right) + 1 \]
      6. lower-fma.f32N/A

        \[\leadsto \mathsf{fma}\left(\frac{-1}{6}, \color{blue}{\left(\pi \cdot \pi\right) \cdot {x}^{2}}, 1\right) \]
    9. Applied rewrites64.6%

      \[\leadsto \color{blue}{\mathsf{fma}\left(-0.16666666666666666, \left(\pi \cdot \pi\right) \cdot \left(x \cdot x\right), 1\right)} \]
    10. Add Preprocessing

    Alternative 17: 63.6% accurate, 94.3× speedup?

    \[\begin{array}{l} \\ 1 \end{array} \]
    (FPCore (x tau) :precision binary32 1.0)
    float code(float x, float tau) {
    	return 1.0f;
    }
    
    module fmin_fmax_functions
        implicit none
        private
        public fmax
        public fmin
    
        interface fmax
            module procedure fmax88
            module procedure fmax44
            module procedure fmax84
            module procedure fmax48
        end interface
        interface fmin
            module procedure fmin88
            module procedure fmin44
            module procedure fmin84
            module procedure fmin48
        end interface
    contains
        real(8) function fmax88(x, y) result (res)
            real(8), intent (in) :: x
            real(8), intent (in) :: y
            res = merge(y, merge(x, max(x, y), y /= y), x /= x)
        end function
        real(4) function fmax44(x, y) result (res)
            real(4), intent (in) :: x
            real(4), intent (in) :: y
            res = merge(y, merge(x, max(x, y), y /= y), x /= x)
        end function
        real(8) function fmax84(x, y) result(res)
            real(8), intent (in) :: x
            real(4), intent (in) :: y
            res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
        end function
        real(8) function fmax48(x, y) result(res)
            real(4), intent (in) :: x
            real(8), intent (in) :: y
            res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
        end function
        real(8) function fmin88(x, y) result (res)
            real(8), intent (in) :: x
            real(8), intent (in) :: y
            res = merge(y, merge(x, min(x, y), y /= y), x /= x)
        end function
        real(4) function fmin44(x, y) result (res)
            real(4), intent (in) :: x
            real(4), intent (in) :: y
            res = merge(y, merge(x, min(x, y), y /= y), x /= x)
        end function
        real(8) function fmin84(x, y) result(res)
            real(8), intent (in) :: x
            real(4), intent (in) :: y
            res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
        end function
        real(8) function fmin48(x, y) result(res)
            real(4), intent (in) :: x
            real(8), intent (in) :: y
            res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
        end function
    end module
    
    real(4) function code(x, tau)
    use fmin_fmax_functions
        real(4), intent (in) :: x
        real(4), intent (in) :: tau
        code = 1.0e0
    end function
    
    function code(x, tau)
    	return Float32(1.0)
    end
    
    function tmp = code(x, tau)
    	tmp = single(1.0);
    end
    
    \begin{array}{l}
    
    \\
    1
    \end{array}
    
    Derivation
    1. Initial program 97.9%

      \[\frac{\sin \left(\left(x \cdot \pi\right) \cdot tau\right)}{\left(x \cdot \pi\right) \cdot tau} \cdot \frac{\sin \left(x \cdot \pi\right)}{x \cdot \pi} \]
    2. Taylor expanded in x around 0

      \[\leadsto \color{blue}{1} \]
    3. Step-by-step derivation
      1. Applied rewrites63.6%

        \[\leadsto \color{blue}{1} \]
      2. Add Preprocessing

      Reproduce

      ?
      herbie shell --seed 2025135 
      (FPCore (x tau)
        :name "Lanczos kernel"
        :precision binary32
        :pre (and (and (<= 1e-5 x) (<= x 1.0)) (and (<= 1.0 tau) (<= tau 5.0)))
        (* (/ (sin (* (* x PI) tau)) (* (* x PI) tau)) (/ (sin (* x PI)) (* x PI))))