
(FPCore (f) :precision binary64 (let* ((t_0 (* (/ PI 4.0) f)) (t_1 (exp t_0)) (t_2 (exp (- t_0)))) (- (* (/ 1.0 (/ PI 4.0)) (log (/ (+ t_1 t_2) (- t_1 t_2)))))))
double code(double f) {
double t_0 = (((double) M_PI) / 4.0) * f;
double t_1 = exp(t_0);
double t_2 = exp(-t_0);
return -((1.0 / (((double) M_PI) / 4.0)) * log(((t_1 + t_2) / (t_1 - t_2))));
}
public static double code(double f) {
double t_0 = (Math.PI / 4.0) * f;
double t_1 = Math.exp(t_0);
double t_2 = Math.exp(-t_0);
return -((1.0 / (Math.PI / 4.0)) * Math.log(((t_1 + t_2) / (t_1 - t_2))));
}
def code(f): t_0 = (math.pi / 4.0) * f t_1 = math.exp(t_0) t_2 = math.exp(-t_0) return -((1.0 / (math.pi / 4.0)) * math.log(((t_1 + t_2) / (t_1 - t_2))))
function code(f) t_0 = Float64(Float64(pi / 4.0) * f) t_1 = exp(t_0) t_2 = exp(Float64(-t_0)) return Float64(-Float64(Float64(1.0 / Float64(pi / 4.0)) * log(Float64(Float64(t_1 + t_2) / Float64(t_1 - t_2))))) end
function tmp = code(f) t_0 = (pi / 4.0) * f; t_1 = exp(t_0); t_2 = exp(-t_0); tmp = -((1.0 / (pi / 4.0)) * log(((t_1 + t_2) / (t_1 - t_2)))); end
code[f_] := Block[{t$95$0 = N[(N[(Pi / 4.0), $MachinePrecision] * f), $MachinePrecision]}, Block[{t$95$1 = N[Exp[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Exp[(-t$95$0)], $MachinePrecision]}, (-N[(N[(1.0 / N[(Pi / 4.0), $MachinePrecision]), $MachinePrecision] * N[Log[N[(N[(t$95$1 + t$95$2), $MachinePrecision] / N[(t$95$1 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{4} \cdot f\\
t_1 := e^{t\_0}\\
t_2 := e^{-t\_0}\\
-\frac{1}{\frac{\pi}{4}} \cdot \log \left(\frac{t\_1 + t\_2}{t\_1 - t\_2}\right)
\end{array}
\end{array}
Herbie found 12 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (f) :precision binary64 (let* ((t_0 (* (/ PI 4.0) f)) (t_1 (exp t_0)) (t_2 (exp (- t_0)))) (- (* (/ 1.0 (/ PI 4.0)) (log (/ (+ t_1 t_2) (- t_1 t_2)))))))
double code(double f) {
double t_0 = (((double) M_PI) / 4.0) * f;
double t_1 = exp(t_0);
double t_2 = exp(-t_0);
return -((1.0 / (((double) M_PI) / 4.0)) * log(((t_1 + t_2) / (t_1 - t_2))));
}
public static double code(double f) {
double t_0 = (Math.PI / 4.0) * f;
double t_1 = Math.exp(t_0);
double t_2 = Math.exp(-t_0);
return -((1.0 / (Math.PI / 4.0)) * Math.log(((t_1 + t_2) / (t_1 - t_2))));
}
def code(f): t_0 = (math.pi / 4.0) * f t_1 = math.exp(t_0) t_2 = math.exp(-t_0) return -((1.0 / (math.pi / 4.0)) * math.log(((t_1 + t_2) / (t_1 - t_2))))
function code(f) t_0 = Float64(Float64(pi / 4.0) * f) t_1 = exp(t_0) t_2 = exp(Float64(-t_0)) return Float64(-Float64(Float64(1.0 / Float64(pi / 4.0)) * log(Float64(Float64(t_1 + t_2) / Float64(t_1 - t_2))))) end
function tmp = code(f) t_0 = (pi / 4.0) * f; t_1 = exp(t_0); t_2 = exp(-t_0); tmp = -((1.0 / (pi / 4.0)) * log(((t_1 + t_2) / (t_1 - t_2)))); end
code[f_] := Block[{t$95$0 = N[(N[(Pi / 4.0), $MachinePrecision] * f), $MachinePrecision]}, Block[{t$95$1 = N[Exp[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Exp[(-t$95$0)], $MachinePrecision]}, (-N[(N[(1.0 / N[(Pi / 4.0), $MachinePrecision]), $MachinePrecision] * N[Log[N[(N[(t$95$1 + t$95$2), $MachinePrecision] / N[(t$95$1 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{4} \cdot f\\
t_1 := e^{t\_0}\\
t_2 := e^{-t\_0}\\
-\frac{1}{\frac{\pi}{4}} \cdot \log \left(\frac{t\_1 + t\_2}{t\_1 - t\_2}\right)
\end{array}
\end{array}
(FPCore (f)
:precision binary64
(let* ((t_0
(fma
(fma
(fma
(* (* (* PI PI) PI) f)
0.0026041666666666665
(* (* PI PI) 0.03125))
f
(* PI 0.25))
f
1.0))
(t_1 (* (* PI f) -0.25))
(t_2 (exp t_1)))
(if (<= f 23.5)
(* -4.0 (/ (log (/ (cosh t_1) (sinh (* (* 0.25 f) PI)))) PI))
(* (/ 4.0 PI) (- (log (/ (+ t_0 t_2) (- t_0 t_2))))))))
double code(double f) {
double t_0 = fma(fma(fma((((((double) M_PI) * ((double) M_PI)) * ((double) M_PI)) * f), 0.0026041666666666665, ((((double) M_PI) * ((double) M_PI)) * 0.03125)), f, (((double) M_PI) * 0.25)), f, 1.0);
double t_1 = (((double) M_PI) * f) * -0.25;
double t_2 = exp(t_1);
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (log((cosh(t_1) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
} else {
tmp = (4.0 / ((double) M_PI)) * -log(((t_0 + t_2) / (t_0 - t_2)));
}
return tmp;
}
function code(f) t_0 = fma(fma(fma(Float64(Float64(Float64(pi * pi) * pi) * f), 0.0026041666666666665, Float64(Float64(pi * pi) * 0.03125)), f, Float64(pi * 0.25)), f, 1.0) t_1 = Float64(Float64(pi * f) * -0.25) t_2 = exp(t_1) tmp = 0.0 if (f <= 23.5) tmp = Float64(-4.0 * Float64(log(Float64(cosh(t_1) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)); else tmp = Float64(Float64(4.0 / pi) * Float64(-log(Float64(Float64(t_0 + t_2) / Float64(t_0 - t_2))))); end return tmp end
code[f_] := Block[{t$95$0 = N[(N[(N[(N[(N[(N[(Pi * Pi), $MachinePrecision] * Pi), $MachinePrecision] * f), $MachinePrecision] * 0.0026041666666666665 + N[(N[(Pi * Pi), $MachinePrecision] * 0.03125), $MachinePrecision]), $MachinePrecision] * f + N[(Pi * 0.25), $MachinePrecision]), $MachinePrecision] * f + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(Pi * f), $MachinePrecision] * -0.25), $MachinePrecision]}, Block[{t$95$2 = N[Exp[t$95$1], $MachinePrecision]}, If[LessEqual[f, 23.5], N[(-4.0 * N[(N[Log[N[(N[Cosh[t$95$1], $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision], N[(N[(4.0 / Pi), $MachinePrecision] * (-N[Log[N[(N[(t$95$0 + t$95$2), $MachinePrecision] / N[(t$95$0 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot f, 0.0026041666666666665, \left(\pi \cdot \pi\right) \cdot 0.03125\right), f, \pi \cdot 0.25\right), f, 1\right)\\
t_1 := \left(\pi \cdot f\right) \cdot -0.25\\
t_2 := e^{t\_1}\\
\mathbf{if}\;f \leq 23.5:\\
\;\;\;\;-4 \cdot \frac{\log \left(\frac{\cosh t\_1}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}\\
\mathbf{else}:\\
\;\;\;\;\frac{4}{\pi} \cdot \left(-\log \left(\frac{t\_0 + t\_2}{t\_0 - t\_2}\right)\right)\\
\end{array}
\end{array}
if f < 23.5Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
if 23.5 < f Initial program 6.7%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f646.0
Applied rewrites6.0%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f648.0
Applied rewrites8.0%
Applied rewrites8.0%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites5.9%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites8.2%
(FPCore (f)
:precision binary64
(let* ((t_0 (fma (fma (* (* PI PI) f) 0.03125 (* PI 0.25)) f 1.0))
(t_1 (* (* PI f) -0.25))
(t_2 (exp t_1)))
(if (<= f 23.5)
(* -4.0 (/ (log (/ (cosh t_1) (sinh (* (* 0.25 f) PI)))) PI))
(log (pow (/ (+ t_0 t_2) (- t_0 t_2)) (- (/ 4.0 PI)))))))
double code(double f) {
double t_0 = fma(fma(((((double) M_PI) * ((double) M_PI)) * f), 0.03125, (((double) M_PI) * 0.25)), f, 1.0);
double t_1 = (((double) M_PI) * f) * -0.25;
double t_2 = exp(t_1);
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (log((cosh(t_1) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
} else {
tmp = log(pow(((t_0 + t_2) / (t_0 - t_2)), -(4.0 / ((double) M_PI))));
}
return tmp;
}
function code(f) t_0 = fma(fma(Float64(Float64(pi * pi) * f), 0.03125, Float64(pi * 0.25)), f, 1.0) t_1 = Float64(Float64(pi * f) * -0.25) t_2 = exp(t_1) tmp = 0.0 if (f <= 23.5) tmp = Float64(-4.0 * Float64(log(Float64(cosh(t_1) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)); else tmp = log((Float64(Float64(t_0 + t_2) / Float64(t_0 - t_2)) ^ Float64(-Float64(4.0 / pi)))); end return tmp end
code[f_] := Block[{t$95$0 = N[(N[(N[(N[(Pi * Pi), $MachinePrecision] * f), $MachinePrecision] * 0.03125 + N[(Pi * 0.25), $MachinePrecision]), $MachinePrecision] * f + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(Pi * f), $MachinePrecision] * -0.25), $MachinePrecision]}, Block[{t$95$2 = N[Exp[t$95$1], $MachinePrecision]}, If[LessEqual[f, 23.5], N[(-4.0 * N[(N[Log[N[(N[Cosh[t$95$1], $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision], N[Log[N[Power[N[(N[(t$95$0 + t$95$2), $MachinePrecision] / N[(t$95$0 - t$95$2), $MachinePrecision]), $MachinePrecision], (-N[(4.0 / Pi), $MachinePrecision])], $MachinePrecision]], $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{fma}\left(\left(\pi \cdot \pi\right) \cdot f, 0.03125, \pi \cdot 0.25\right), f, 1\right)\\
t_1 := \left(\pi \cdot f\right) \cdot -0.25\\
t_2 := e^{t\_1}\\
\mathbf{if}\;f \leq 23.5:\\
\;\;\;\;-4 \cdot \frac{\log \left(\frac{\cosh t\_1}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}\\
\mathbf{else}:\\
\;\;\;\;\log \left({\left(\frac{t\_0 + t\_2}{t\_0 - t\_2}\right)}^{\left(-\frac{4}{\pi}\right)}\right)\\
\end{array}
\end{array}
if f < 23.5Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
if 23.5 < f Initial program 6.7%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f646.0
Applied rewrites6.0%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f648.0
Applied rewrites8.0%
Applied rewrites8.0%
(FPCore (f)
:precision binary64
(let* ((t_0 (fma (fma (* (* PI PI) f) 0.03125 (* PI 0.25)) f 1.0))
(t_1 (* (* PI f) -0.25))
(t_2 (exp t_1)))
(if (<= f 23.5)
(* -4.0 (/ (log (/ (cosh t_1) (sinh (* (* 0.25 f) PI)))) PI))
(* (/ 4.0 PI) (- (log (/ (+ t_0 t_2) (- t_0 t_2))))))))
double code(double f) {
double t_0 = fma(fma(((((double) M_PI) * ((double) M_PI)) * f), 0.03125, (((double) M_PI) * 0.25)), f, 1.0);
double t_1 = (((double) M_PI) * f) * -0.25;
double t_2 = exp(t_1);
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (log((cosh(t_1) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
} else {
tmp = (4.0 / ((double) M_PI)) * -log(((t_0 + t_2) / (t_0 - t_2)));
}
return tmp;
}
function code(f) t_0 = fma(fma(Float64(Float64(pi * pi) * f), 0.03125, Float64(pi * 0.25)), f, 1.0) t_1 = Float64(Float64(pi * f) * -0.25) t_2 = exp(t_1) tmp = 0.0 if (f <= 23.5) tmp = Float64(-4.0 * Float64(log(Float64(cosh(t_1) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)); else tmp = Float64(Float64(4.0 / pi) * Float64(-log(Float64(Float64(t_0 + t_2) / Float64(t_0 - t_2))))); end return tmp end
code[f_] := Block[{t$95$0 = N[(N[(N[(N[(Pi * Pi), $MachinePrecision] * f), $MachinePrecision] * 0.03125 + N[(Pi * 0.25), $MachinePrecision]), $MachinePrecision] * f + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(Pi * f), $MachinePrecision] * -0.25), $MachinePrecision]}, Block[{t$95$2 = N[Exp[t$95$1], $MachinePrecision]}, If[LessEqual[f, 23.5], N[(-4.0 * N[(N[Log[N[(N[Cosh[t$95$1], $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision], N[(N[(4.0 / Pi), $MachinePrecision] * (-N[Log[N[(N[(t$95$0 + t$95$2), $MachinePrecision] / N[(t$95$0 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{fma}\left(\left(\pi \cdot \pi\right) \cdot f, 0.03125, \pi \cdot 0.25\right), f, 1\right)\\
t_1 := \left(\pi \cdot f\right) \cdot -0.25\\
t_2 := e^{t\_1}\\
\mathbf{if}\;f \leq 23.5:\\
\;\;\;\;-4 \cdot \frac{\log \left(\frac{\cosh t\_1}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}\\
\mathbf{else}:\\
\;\;\;\;\frac{4}{\pi} \cdot \left(-\log \left(\frac{t\_0 + t\_2}{t\_0 - t\_2}\right)\right)\\
\end{array}
\end{array}
if f < 23.5Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
if 23.5 < f Initial program 6.7%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f646.0
Applied rewrites6.0%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f648.0
Applied rewrites8.0%
Applied rewrites8.0%
(FPCore (f)
:precision binary64
(let* ((t_0 (exp (* -0.25 (* PI f))))
(t_1 (fma (* (* (* PI PI) f) 0.03125) f 1.0)))
(if (<= f 23.5)
(*
-4.0
(/ (log (/ (cosh (* (* PI f) -0.25)) (sinh (* (* 0.25 f) PI)))) PI))
(- (* (/ 1.0 (/ PI 4.0)) (- (log (/ (- t_1 t_0) (+ t_0 t_1)))))))))
double code(double f) {
double t_0 = exp((-0.25 * (((double) M_PI) * f)));
double t_1 = fma((((((double) M_PI) * ((double) M_PI)) * f) * 0.03125), f, 1.0);
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (log((cosh(((((double) M_PI) * f) * -0.25)) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
} else {
tmp = -((1.0 / (((double) M_PI) / 4.0)) * -log(((t_1 - t_0) / (t_0 + t_1))));
}
return tmp;
}
function code(f) t_0 = exp(Float64(-0.25 * Float64(pi * f))) t_1 = fma(Float64(Float64(Float64(pi * pi) * f) * 0.03125), f, 1.0) tmp = 0.0 if (f <= 23.5) tmp = Float64(-4.0 * Float64(log(Float64(cosh(Float64(Float64(pi * f) * -0.25)) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)); else tmp = Float64(-Float64(Float64(1.0 / Float64(pi / 4.0)) * Float64(-log(Float64(Float64(t_1 - t_0) / Float64(t_0 + t_1)))))); end return tmp end
code[f_] := Block[{t$95$0 = N[Exp[N[(-0.25 * N[(Pi * f), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(Pi * Pi), $MachinePrecision] * f), $MachinePrecision] * 0.03125), $MachinePrecision] * f + 1.0), $MachinePrecision]}, If[LessEqual[f, 23.5], N[(-4.0 * N[(N[Log[N[(N[Cosh[N[(N[(Pi * f), $MachinePrecision] * -0.25), $MachinePrecision]], $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision], (-N[(N[(1.0 / N[(Pi / 4.0), $MachinePrecision]), $MachinePrecision] * (-N[Log[N[(N[(t$95$1 - t$95$0), $MachinePrecision] / N[(t$95$0 + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision])), $MachinePrecision])]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{-0.25 \cdot \left(\pi \cdot f\right)}\\
t_1 := \mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot f\right) \cdot 0.03125, f, 1\right)\\
\mathbf{if}\;f \leq 23.5:\\
\;\;\;\;-4 \cdot \frac{\log \left(\frac{\cosh \left(\left(\pi \cdot f\right) \cdot -0.25\right)}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}\\
\mathbf{else}:\\
\;\;\;\;-\frac{1}{\frac{\pi}{4}} \cdot \left(-\log \left(\frac{t\_1 - t\_0}{t\_0 + t\_1}\right)\right)\\
\end{array}
\end{array}
if f < 23.5Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
if 23.5 < f Initial program 6.7%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f646.0
Applied rewrites6.0%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f648.0
Applied rewrites8.0%
Taylor expanded in f around inf
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
pow2N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lift-*.f645.4
Applied rewrites5.4%
Taylor expanded in f around inf
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
pow2N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lift-*.f646.4
Applied rewrites6.4%
Applied rewrites6.4%
(FPCore (f)
:precision binary64
(let* ((t_0 (exp (* -0.25 (* PI f))))
(t_1 (fma (* (* (* PI PI) f) 0.03125) f 1.0)))
(if (<= f 23.5)
(*
-4.0
(/ (log (/ (cosh (* (* PI f) -0.25)) (sinh (* (* 0.25 f) PI)))) PI))
(* (/ 4.0 PI) (- (log (/ (+ t_0 t_1) (- t_1 t_0))))))))
double code(double f) {
double t_0 = exp((-0.25 * (((double) M_PI) * f)));
double t_1 = fma((((((double) M_PI) * ((double) M_PI)) * f) * 0.03125), f, 1.0);
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (log((cosh(((((double) M_PI) * f) * -0.25)) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
} else {
tmp = (4.0 / ((double) M_PI)) * -log(((t_0 + t_1) / (t_1 - t_0)));
}
return tmp;
}
function code(f) t_0 = exp(Float64(-0.25 * Float64(pi * f))) t_1 = fma(Float64(Float64(Float64(pi * pi) * f) * 0.03125), f, 1.0) tmp = 0.0 if (f <= 23.5) tmp = Float64(-4.0 * Float64(log(Float64(cosh(Float64(Float64(pi * f) * -0.25)) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)); else tmp = Float64(Float64(4.0 / pi) * Float64(-log(Float64(Float64(t_0 + t_1) / Float64(t_1 - t_0))))); end return tmp end
code[f_] := Block[{t$95$0 = N[Exp[N[(-0.25 * N[(Pi * f), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(Pi * Pi), $MachinePrecision] * f), $MachinePrecision] * 0.03125), $MachinePrecision] * f + 1.0), $MachinePrecision]}, If[LessEqual[f, 23.5], N[(-4.0 * N[(N[Log[N[(N[Cosh[N[(N[(Pi * f), $MachinePrecision] * -0.25), $MachinePrecision]], $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision], N[(N[(4.0 / Pi), $MachinePrecision] * (-N[Log[N[(N[(t$95$0 + t$95$1), $MachinePrecision] / N[(t$95$1 - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{-0.25 \cdot \left(\pi \cdot f\right)}\\
t_1 := \mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot f\right) \cdot 0.03125, f, 1\right)\\
\mathbf{if}\;f \leq 23.5:\\
\;\;\;\;-4 \cdot \frac{\log \left(\frac{\cosh \left(\left(\pi \cdot f\right) \cdot -0.25\right)}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}\\
\mathbf{else}:\\
\;\;\;\;\frac{4}{\pi} \cdot \left(-\log \left(\frac{t\_0 + t\_1}{t\_1 - t\_0}\right)\right)\\
\end{array}
\end{array}
if f < 23.5Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
if 23.5 < f Initial program 6.7%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f646.0
Applied rewrites6.0%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f648.0
Applied rewrites8.0%
Taylor expanded in f around inf
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
pow2N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lift-*.f645.4
Applied rewrites5.4%
Taylor expanded in f around inf
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
pow2N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lift-*.f646.4
Applied rewrites6.4%
Applied rewrites6.4%
(FPCore (f)
:precision binary64
(let* ((t_0 (* (* 0.03125 (* f f)) (* PI PI)))
(t_1 (* (* PI f) -0.25))
(t_2 (exp t_1)))
(if (<= f 23.5)
(* -4.0 (/ (log (/ (cosh t_1) (sinh (* (* 0.25 f) PI)))) PI))
(* (/ 4.0 PI) (- (log (/ (+ t_0 t_2) (- t_0 t_2))))))))
double code(double f) {
double t_0 = (0.03125 * (f * f)) * (((double) M_PI) * ((double) M_PI));
double t_1 = (((double) M_PI) * f) * -0.25;
double t_2 = exp(t_1);
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (log((cosh(t_1) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
} else {
tmp = (4.0 / ((double) M_PI)) * -log(((t_0 + t_2) / (t_0 - t_2)));
}
return tmp;
}
public static double code(double f) {
double t_0 = (0.03125 * (f * f)) * (Math.PI * Math.PI);
double t_1 = (Math.PI * f) * -0.25;
double t_2 = Math.exp(t_1);
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (Math.log((Math.cosh(t_1) / Math.sinh(((0.25 * f) * Math.PI)))) / Math.PI);
} else {
tmp = (4.0 / Math.PI) * -Math.log(((t_0 + t_2) / (t_0 - t_2)));
}
return tmp;
}
def code(f): t_0 = (0.03125 * (f * f)) * (math.pi * math.pi) t_1 = (math.pi * f) * -0.25 t_2 = math.exp(t_1) tmp = 0 if f <= 23.5: tmp = -4.0 * (math.log((math.cosh(t_1) / math.sinh(((0.25 * f) * math.pi)))) / math.pi) else: tmp = (4.0 / math.pi) * -math.log(((t_0 + t_2) / (t_0 - t_2))) return tmp
function code(f) t_0 = Float64(Float64(0.03125 * Float64(f * f)) * Float64(pi * pi)) t_1 = Float64(Float64(pi * f) * -0.25) t_2 = exp(t_1) tmp = 0.0 if (f <= 23.5) tmp = Float64(-4.0 * Float64(log(Float64(cosh(t_1) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)); else tmp = Float64(Float64(4.0 / pi) * Float64(-log(Float64(Float64(t_0 + t_2) / Float64(t_0 - t_2))))); end return tmp end
function tmp_2 = code(f) t_0 = (0.03125 * (f * f)) * (pi * pi); t_1 = (pi * f) * -0.25; t_2 = exp(t_1); tmp = 0.0; if (f <= 23.5) tmp = -4.0 * (log((cosh(t_1) / sinh(((0.25 * f) * pi)))) / pi); else tmp = (4.0 / pi) * -log(((t_0 + t_2) / (t_0 - t_2))); end tmp_2 = tmp; end
code[f_] := Block[{t$95$0 = N[(N[(0.03125 * N[(f * f), $MachinePrecision]), $MachinePrecision] * N[(Pi * Pi), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(Pi * f), $MachinePrecision] * -0.25), $MachinePrecision]}, Block[{t$95$2 = N[Exp[t$95$1], $MachinePrecision]}, If[LessEqual[f, 23.5], N[(-4.0 * N[(N[Log[N[(N[Cosh[t$95$1], $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision], N[(N[(4.0 / Pi), $MachinePrecision] * (-N[Log[N[(N[(t$95$0 + t$95$2), $MachinePrecision] / N[(t$95$0 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(0.03125 \cdot \left(f \cdot f\right)\right) \cdot \left(\pi \cdot \pi\right)\\
t_1 := \left(\pi \cdot f\right) \cdot -0.25\\
t_2 := e^{t\_1}\\
\mathbf{if}\;f \leq 23.5:\\
\;\;\;\;-4 \cdot \frac{\log \left(\frac{\cosh t\_1}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}\\
\mathbf{else}:\\
\;\;\;\;\frac{4}{\pi} \cdot \left(-\log \left(\frac{t\_0 + t\_2}{t\_0 - t\_2}\right)\right)\\
\end{array}
\end{array}
if f < 23.5Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
if 23.5 < f Initial program 6.7%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f646.0
Applied rewrites6.0%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f648.0
Applied rewrites8.0%
Applied rewrites8.0%
Taylor expanded in f around inf
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-PI.f644.2
Applied rewrites4.2%
Taylor expanded in f around inf
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-PI.f642.3
Applied rewrites2.3%
(FPCore (f)
:precision binary64
(let* ((t_0 (fma (* f 0.25) PI 1.0)) (t_1 (* (* PI f) -0.25)) (t_2 (exp t_1)))
(if (<= f 23.5)
(* -4.0 (/ (log (/ (cosh t_1) (sinh (* (* 0.25 f) PI)))) PI))
(* (/ 4.0 PI) (- (log (/ (+ t_0 t_2) (- t_0 t_2))))))))
double code(double f) {
double t_0 = fma((f * 0.25), ((double) M_PI), 1.0);
double t_1 = (((double) M_PI) * f) * -0.25;
double t_2 = exp(t_1);
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (log((cosh(t_1) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
} else {
tmp = (4.0 / ((double) M_PI)) * -log(((t_0 + t_2) / (t_0 - t_2)));
}
return tmp;
}
function code(f) t_0 = fma(Float64(f * 0.25), pi, 1.0) t_1 = Float64(Float64(pi * f) * -0.25) t_2 = exp(t_1) tmp = 0.0 if (f <= 23.5) tmp = Float64(-4.0 * Float64(log(Float64(cosh(t_1) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)); else tmp = Float64(Float64(4.0 / pi) * Float64(-log(Float64(Float64(t_0 + t_2) / Float64(t_0 - t_2))))); end return tmp end
code[f_] := Block[{t$95$0 = N[(N[(f * 0.25), $MachinePrecision] * Pi + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(Pi * f), $MachinePrecision] * -0.25), $MachinePrecision]}, Block[{t$95$2 = N[Exp[t$95$1], $MachinePrecision]}, If[LessEqual[f, 23.5], N[(-4.0 * N[(N[Log[N[(N[Cosh[t$95$1], $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision], N[(N[(4.0 / Pi), $MachinePrecision] * (-N[Log[N[(N[(t$95$0 + t$95$2), $MachinePrecision] / N[(t$95$0 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(f \cdot 0.25, \pi, 1\right)\\
t_1 := \left(\pi \cdot f\right) \cdot -0.25\\
t_2 := e^{t\_1}\\
\mathbf{if}\;f \leq 23.5:\\
\;\;\;\;-4 \cdot \frac{\log \left(\frac{\cosh t\_1}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}\\
\mathbf{else}:\\
\;\;\;\;\frac{4}{\pi} \cdot \left(-\log \left(\frac{t\_0 + t\_2}{t\_0 - t\_2}\right)\right)\\
\end{array}
\end{array}
if f < 23.5Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
if 23.5 < f Initial program 6.7%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f646.0
Applied rewrites6.0%
Taylor expanded in f around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f648.0
Applied rewrites8.0%
Applied rewrites8.0%
Taylor expanded in f around 0
+-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-PI.f645.8
Applied rewrites5.8%
Taylor expanded in f around 0
+-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-PI.f647.6
Applied rewrites7.6%
(FPCore (f)
:precision binary64
(let* ((t_0 (exp (- (* (/ PI 4.0) f)))))
(if (<= f 23.5)
(*
-4.0
(/ (log (/ (cosh (* (* PI f) -0.25)) (sinh (* (* 0.25 f) PI)))) PI))
(- (* (/ 1.0 (/ PI 4.0)) (log (/ (+ 1.0 t_0) (- 1.0 t_0))))))))
double code(double f) {
double t_0 = exp(-((((double) M_PI) / 4.0) * f));
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (log((cosh(((((double) M_PI) * f) * -0.25)) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
} else {
tmp = -((1.0 / (((double) M_PI) / 4.0)) * log(((1.0 + t_0) / (1.0 - t_0))));
}
return tmp;
}
public static double code(double f) {
double t_0 = Math.exp(-((Math.PI / 4.0) * f));
double tmp;
if (f <= 23.5) {
tmp = -4.0 * (Math.log((Math.cosh(((Math.PI * f) * -0.25)) / Math.sinh(((0.25 * f) * Math.PI)))) / Math.PI);
} else {
tmp = -((1.0 / (Math.PI / 4.0)) * Math.log(((1.0 + t_0) / (1.0 - t_0))));
}
return tmp;
}
def code(f): t_0 = math.exp(-((math.pi / 4.0) * f)) tmp = 0 if f <= 23.5: tmp = -4.0 * (math.log((math.cosh(((math.pi * f) * -0.25)) / math.sinh(((0.25 * f) * math.pi)))) / math.pi) else: tmp = -((1.0 / (math.pi / 4.0)) * math.log(((1.0 + t_0) / (1.0 - t_0)))) return tmp
function code(f) t_0 = exp(Float64(-Float64(Float64(pi / 4.0) * f))) tmp = 0.0 if (f <= 23.5) tmp = Float64(-4.0 * Float64(log(Float64(cosh(Float64(Float64(pi * f) * -0.25)) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)); else tmp = Float64(-Float64(Float64(1.0 / Float64(pi / 4.0)) * log(Float64(Float64(1.0 + t_0) / Float64(1.0 - t_0))))); end return tmp end
function tmp_2 = code(f) t_0 = exp(-((pi / 4.0) * f)); tmp = 0.0; if (f <= 23.5) tmp = -4.0 * (log((cosh(((pi * f) * -0.25)) / sinh(((0.25 * f) * pi)))) / pi); else tmp = -((1.0 / (pi / 4.0)) * log(((1.0 + t_0) / (1.0 - t_0)))); end tmp_2 = tmp; end
code[f_] := Block[{t$95$0 = N[Exp[(-N[(N[(Pi / 4.0), $MachinePrecision] * f), $MachinePrecision])], $MachinePrecision]}, If[LessEqual[f, 23.5], N[(-4.0 * N[(N[Log[N[(N[Cosh[N[(N[(Pi * f), $MachinePrecision] * -0.25), $MachinePrecision]], $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision], (-N[(N[(1.0 / N[(Pi / 4.0), $MachinePrecision]), $MachinePrecision] * N[Log[N[(N[(1.0 + t$95$0), $MachinePrecision] / N[(1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{-\frac{\pi}{4} \cdot f}\\
\mathbf{if}\;f \leq 23.5:\\
\;\;\;\;-4 \cdot \frac{\log \left(\frac{\cosh \left(\left(\pi \cdot f\right) \cdot -0.25\right)}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}\\
\mathbf{else}:\\
\;\;\;\;-\frac{1}{\frac{\pi}{4}} \cdot \log \left(\frac{1 + t\_0}{1 - t\_0}\right)\\
\end{array}
\end{array}
if f < 23.5Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
if 23.5 < f Initial program 6.7%
Taylor expanded in f around 0
Applied rewrites5.3%
Taylor expanded in f around 0
Applied rewrites6.4%
(FPCore (f) :precision binary64 (* -4.0 (/ (log (/ (cosh (* (* PI f) -0.25)) (sinh (* (* 0.25 f) PI)))) PI)))
double code(double f) {
return -4.0 * (log((cosh(((((double) M_PI) * f) * -0.25)) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
}
public static double code(double f) {
return -4.0 * (Math.log((Math.cosh(((Math.PI * f) * -0.25)) / Math.sinh(((0.25 * f) * Math.PI)))) / Math.PI);
}
def code(f): return -4.0 * (math.log((math.cosh(((math.pi * f) * -0.25)) / math.sinh(((0.25 * f) * math.pi)))) / math.pi)
function code(f) return Float64(-4.0 * Float64(log(Float64(cosh(Float64(Float64(pi * f) * -0.25)) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)) end
function tmp = code(f) tmp = -4.0 * (log((cosh(((pi * f) * -0.25)) / sinh(((0.25 * f) * pi)))) / pi); end
code[f_] := N[(-4.0 * N[(N[Log[N[(N[Cosh[N[(N[(Pi * f), $MachinePrecision] * -0.25), $MachinePrecision]], $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-4 \cdot \frac{\log \left(\frac{\cosh \left(\left(\pi \cdot f\right) \cdot -0.25\right)}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}
\end{array}
Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
(FPCore (f) :precision binary64 (* -4.0 (/ (log (/ (fma (* 0.03125 (* f f)) (* PI PI) 1.0) (sinh (* (* 0.25 f) PI)))) PI)))
double code(double f) {
return -4.0 * (log((fma((0.03125 * (f * f)), (((double) M_PI) * ((double) M_PI)), 1.0) / sinh(((0.25 * f) * ((double) M_PI))))) / ((double) M_PI));
}
function code(f) return Float64(-4.0 * Float64(log(Float64(fma(Float64(0.03125 * Float64(f * f)), Float64(pi * pi), 1.0) / sinh(Float64(Float64(0.25 * f) * pi)))) / pi)) end
code[f_] := N[(-4.0 * N[(N[Log[N[(N[(N[(0.03125 * N[(f * f), $MachinePrecision]), $MachinePrecision] * N[(Pi * Pi), $MachinePrecision] + 1.0), $MachinePrecision] / N[Sinh[N[(N[(0.25 * f), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-4 \cdot \frac{\log \left(\frac{\mathsf{fma}\left(0.03125 \cdot \left(f \cdot f\right), \pi \cdot \pi, 1\right)}{\sinh \left(\left(0.25 \cdot f\right) \cdot \pi\right)}\right)}{\pi}
\end{array}
Initial program 6.7%
Applied rewrites96.8%
Applied rewrites96.8%
Taylor expanded in f around 0
*-commutativeN/A
*-commutativeN/A
metadata-evalN/A
distribute-lft-neg-inN/A
cosh-neg-revN/A
*-commutativeN/A
associate-*l*N/A
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-PI.f6496.2
Applied rewrites96.2%
(FPCore (f) :precision binary64 (* -4.0 (/ (log (/ (cosh (* (* PI 0.25) f)) (* (* (* 0.5 PI) f) 0.5))) PI)))
double code(double f) {
return -4.0 * (log((cosh(((((double) M_PI) * 0.25) * f)) / (((0.5 * ((double) M_PI)) * f) * 0.5))) / ((double) M_PI));
}
public static double code(double f) {
return -4.0 * (Math.log((Math.cosh(((Math.PI * 0.25) * f)) / (((0.5 * Math.PI) * f) * 0.5))) / Math.PI);
}
def code(f): return -4.0 * (math.log((math.cosh(((math.pi * 0.25) * f)) / (((0.5 * math.pi) * f) * 0.5))) / math.pi)
function code(f) return Float64(-4.0 * Float64(log(Float64(cosh(Float64(Float64(pi * 0.25) * f)) / Float64(Float64(Float64(0.5 * pi) * f) * 0.5))) / pi)) end
function tmp = code(f) tmp = -4.0 * (log((cosh(((pi * 0.25) * f)) / (((0.5 * pi) * f) * 0.5))) / pi); end
code[f_] := N[(-4.0 * N[(N[Log[N[(N[Cosh[N[(N[(Pi * 0.25), $MachinePrecision] * f), $MachinePrecision]], $MachinePrecision] / N[(N[(N[(0.5 * Pi), $MachinePrecision] * f), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-4 \cdot \frac{\log \left(\frac{\cosh \left(\left(\pi \cdot 0.25\right) \cdot f\right)}{\left(\left(0.5 \cdot \pi\right) \cdot f\right) \cdot 0.5}\right)}{\pi}
\end{array}
Initial program 6.7%
Applied rewrites96.8%
Taylor expanded in f around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
distribute-rgt-out--N/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift-PI.f6495.8
Applied rewrites95.8%
lift-neg.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6495.8
Applied rewrites95.8%
(FPCore (f) :precision binary64 (* (/ (log (/ 4.0 (* PI f))) PI) -4.0))
double code(double f) {
return (log((4.0 / (((double) M_PI) * f))) / ((double) M_PI)) * -4.0;
}
public static double code(double f) {
return (Math.log((4.0 / (Math.PI * f))) / Math.PI) * -4.0;
}
def code(f): return (math.log((4.0 / (math.pi * f))) / math.pi) * -4.0
function code(f) return Float64(Float64(log(Float64(4.0 / Float64(pi * f))) / pi) * -4.0) end
function tmp = code(f) tmp = (log((4.0 / (pi * f))) / pi) * -4.0; end
code[f_] := N[(N[(N[Log[N[(4.0 / N[(Pi * f), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision] * -4.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{\log \left(\frac{4}{\pi \cdot f}\right)}{\pi} \cdot -4
\end{array}
Initial program 6.7%
Taylor expanded in f around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites95.8%
Taylor expanded in f around 0
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-PI.f6495.8
Applied rewrites95.8%
herbie shell --seed 2025132
(FPCore (f)
:name "VandenBroeck and Keller, Equation (20)"
:precision binary64
(- (* (/ 1.0 (/ PI 4.0)) (log (/ (+ (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f)))) (- (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f)))))))))