
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 15 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.2e-80)
(* (/ (* 2.0 l) (* t_m (* k k))) (/ (/ l (sin k)) (tan k)))
(if (<= t_m 1.1e+197)
(/
2.0
(*
(* (tan k) (* (/ (pow t_m 1.5) l) (/ (* (sin k) (pow t_m 1.5)) l)))
(+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0)))))
(* (/ l t_m) (/ (/ (/ l (* t_m k)) t_m) k))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.2e-80) {
tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / sin(k)) / tan(k));
} else if (t_m <= 1.1e+197) {
tmp = 2.0 / ((tan(k) * ((pow(t_m, 1.5) / l) * ((sin(k) * pow(t_m, 1.5)) / l))) * (1.0 + (1.0 + pow((k / t_m), 2.0))));
} else {
tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 2.2d-80) then
tmp = ((2.0d0 * l) / (t_m * (k * k))) * ((l / sin(k)) / tan(k))
else if (t_m <= 1.1d+197) then
tmp = 2.0d0 / ((tan(k) * (((t_m ** 1.5d0) / l) * ((sin(k) * (t_m ** 1.5d0)) / l))) * (1.0d0 + (1.0d0 + ((k / t_m) ** 2.0d0))))
else
tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.2e-80) {
tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / Math.sin(k)) / Math.tan(k));
} else if (t_m <= 1.1e+197) {
tmp = 2.0 / ((Math.tan(k) * ((Math.pow(t_m, 1.5) / l) * ((Math.sin(k) * Math.pow(t_m, 1.5)) / l))) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0))));
} else {
tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 2.2e-80: tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / math.sin(k)) / math.tan(k)) elif t_m <= 1.1e+197: tmp = 2.0 / ((math.tan(k) * ((math.pow(t_m, 1.5) / l) * ((math.sin(k) * math.pow(t_m, 1.5)) / l))) * (1.0 + (1.0 + math.pow((k / t_m), 2.0)))) else: tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.2e-80) tmp = Float64(Float64(Float64(2.0 * l) / Float64(t_m * Float64(k * k))) * Float64(Float64(l / sin(k)) / tan(k))); elseif (t_m <= 1.1e+197) tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64((t_m ^ 1.5) / l) * Float64(Float64(sin(k) * (t_m ^ 1.5)) / l))) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0))))); else tmp = Float64(Float64(l / t_m) * Float64(Float64(Float64(l / Float64(t_m * k)) / t_m) / k)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 2.2e-80) tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / sin(k)) / tan(k)); elseif (t_m <= 1.1e+197) tmp = 2.0 / ((tan(k) * (((t_m ^ 1.5) / l) * ((sin(k) * (t_m ^ 1.5)) / l))) * (1.0 + (1.0 + ((k / t_m) ^ 2.0)))); else tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.2e-80], N[(N[(N[(2.0 * l), $MachinePrecision] / N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision] / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.1e+197], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 1.5], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l / t$95$m), $MachinePrecision] * N[(N[(N[(l / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.2 \cdot 10^{-80}:\\
\;\;\;\;\frac{2 \cdot \ell}{t\_m \cdot \left(k \cdot k\right)} \cdot \frac{\frac{\ell}{\sin k}}{\tan k}\\
\mathbf{elif}\;t\_m \leq 1.1 \cdot 10^{+197}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{{t\_m}^{1.5}}{\ell} \cdot \frac{\sin k \cdot {t\_m}^{1.5}}{\ell}\right)\right) \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\frac{\frac{\ell}{t\_m \cdot k}}{t\_m}}{k}\\
\end{array}
\end{array}
if t < 2.2000000000000001e-80Initial program 47.8%
associate-*l*N/A
associate-/r*N/A
cube-unmultN/A
associate-/r*N/A
associate-/r*N/A
associate-/r/N/A
associate-/l*N/A
*-commutativeN/A
times-fracN/A
Applied egg-rr42.4%
Taylor expanded in t around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6470.7%
Simplified70.7%
if 2.2000000000000001e-80 < t < 1.09999999999999995e197Initial program 77.9%
cube-unmultN/A
associate-*l/N/A
cube-unmultN/A
sqr-powN/A
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
pow-lowering-pow.f64N/A
metadata-evalN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
metadata-evalN/A
sin-lowering-sin.f6486.9%
Applied egg-rr86.9%
if 1.09999999999999995e197 < t Initial program 45.9%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6435.2%
Simplified35.2%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6454.7%
Applied egg-rr54.7%
associate-/r*N/A
associate-*r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6490.3%
Applied egg-rr90.3%
associate-/l/N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6490.5%
Applied egg-rr90.5%
Final simplification75.6%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ (pow t_m 1.5) l)))
(*
t_s
(if (<= t_m 1.65e-78)
(* (/ (* 2.0 l) (* t_m (* k k))) (/ (/ l (sin k)) (tan k)))
(if (<= t_m 4.9e+173)
(/
(/ (* (/ 2.0 t_2) (/ (/ 1.0 (sin k)) t_2)) (tan k))
(+ 2.0 (* k (/ k (* t_m t_m)))))
(* (/ l t_m) (/ (/ (/ l (* t_m k)) t_m) k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = pow(t_m, 1.5) / l;
double tmp;
if (t_m <= 1.65e-78) {
tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / sin(k)) / tan(k));
} else if (t_m <= 4.9e+173) {
tmp = (((2.0 / t_2) * ((1.0 / sin(k)) / t_2)) / tan(k)) / (2.0 + (k * (k / (t_m * t_m))));
} else {
tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: t_2
real(8) :: tmp
t_2 = (t_m ** 1.5d0) / l
if (t_m <= 1.65d-78) then
tmp = ((2.0d0 * l) / (t_m * (k * k))) * ((l / sin(k)) / tan(k))
else if (t_m <= 4.9d+173) then
tmp = (((2.0d0 / t_2) * ((1.0d0 / sin(k)) / t_2)) / tan(k)) / (2.0d0 + (k * (k / (t_m * t_m))))
else
tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow(t_m, 1.5) / l;
double tmp;
if (t_m <= 1.65e-78) {
tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / Math.sin(k)) / Math.tan(k));
} else if (t_m <= 4.9e+173) {
tmp = (((2.0 / t_2) * ((1.0 / Math.sin(k)) / t_2)) / Math.tan(k)) / (2.0 + (k * (k / (t_m * t_m))));
} else {
tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): t_2 = math.pow(t_m, 1.5) / l tmp = 0 if t_m <= 1.65e-78: tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / math.sin(k)) / math.tan(k)) elif t_m <= 4.9e+173: tmp = (((2.0 / t_2) * ((1.0 / math.sin(k)) / t_2)) / math.tan(k)) / (2.0 + (k * (k / (t_m * t_m)))) else: tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64((t_m ^ 1.5) / l) tmp = 0.0 if (t_m <= 1.65e-78) tmp = Float64(Float64(Float64(2.0 * l) / Float64(t_m * Float64(k * k))) * Float64(Float64(l / sin(k)) / tan(k))); elseif (t_m <= 4.9e+173) tmp = Float64(Float64(Float64(Float64(2.0 / t_2) * Float64(Float64(1.0 / sin(k)) / t_2)) / tan(k)) / Float64(2.0 + Float64(k * Float64(k / Float64(t_m * t_m))))); else tmp = Float64(Float64(l / t_m) * Float64(Float64(Float64(l / Float64(t_m * k)) / t_m) / k)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) t_2 = (t_m ^ 1.5) / l; tmp = 0.0; if (t_m <= 1.65e-78) tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / sin(k)) / tan(k)); elseif (t_m <= 4.9e+173) tmp = (((2.0 / t_2) * ((1.0 / sin(k)) / t_2)) / tan(k)) / (2.0 + (k * (k / (t_m * t_m)))); else tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.65e-78], N[(N[(N[(2.0 * l), $MachinePrecision] / N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision] / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 4.9e+173], N[(N[(N[(N[(2.0 / t$95$2), $MachinePrecision] * N[(N[(1.0 / N[Sin[k], $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] / N[Tan[k], $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[(k * N[(k / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l / t$95$m), $MachinePrecision] * N[(N[(N[(l / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{{t\_m}^{1.5}}{\ell}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.65 \cdot 10^{-78}:\\
\;\;\;\;\frac{2 \cdot \ell}{t\_m \cdot \left(k \cdot k\right)} \cdot \frac{\frac{\ell}{\sin k}}{\tan k}\\
\mathbf{elif}\;t\_m \leq 4.9 \cdot 10^{+173}:\\
\;\;\;\;\frac{\frac{\frac{2}{t\_2} \cdot \frac{\frac{1}{\sin k}}{t\_2}}{\tan k}}{2 + k \cdot \frac{k}{t\_m \cdot t\_m}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\frac{\frac{\ell}{t\_m \cdot k}}{t\_m}}{k}\\
\end{array}
\end{array}
\end{array}
if t < 1.64999999999999991e-78Initial program 47.8%
associate-*l*N/A
associate-/r*N/A
cube-unmultN/A
associate-/r*N/A
associate-/r*N/A
associate-/r/N/A
associate-/l*N/A
*-commutativeN/A
times-fracN/A
Applied egg-rr42.4%
Taylor expanded in t around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6470.7%
Simplified70.7%
if 1.64999999999999991e-78 < t < 4.9000000000000001e173Initial program 77.0%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified77.2%
div-invN/A
associate-*l/N/A
associate-/r*N/A
cube-unmultN/A
sqr-powN/A
times-fracN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
pow-lowering-pow.f64N/A
metadata-evalN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
pow-lowering-pow.f64N/A
metadata-eval86.4%
Applied egg-rr86.4%
if 4.9000000000000001e173 < t Initial program 50.8%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6436.5%
Simplified36.5%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6454.3%
Applied egg-rr54.3%
associate-/r*N/A
associate-*r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6491.2%
Applied egg-rr91.2%
associate-/l/N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6491.4%
Applied egg-rr91.4%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 8.2e-7)
(/ (/ (/ l t_m) (* t_m k)) (* k (/ t_m l)))
(* (/ (* 2.0 l) (* t_m (* k k))) (/ (/ l (sin k)) (tan k))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8.2e-7) {
tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l));
} else {
tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / sin(k)) / tan(k));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 8.2d-7) then
tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l))
else
tmp = ((2.0d0 * l) / (t_m * (k * k))) * ((l / sin(k)) / tan(k))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8.2e-7) {
tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l));
} else {
tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / Math.sin(k)) / Math.tan(k));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 8.2e-7: tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l)) else: tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / math.sin(k)) / math.tan(k)) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 8.2e-7) tmp = Float64(Float64(Float64(l / t_m) / Float64(t_m * k)) / Float64(k * Float64(t_m / l))); else tmp = Float64(Float64(Float64(2.0 * l) / Float64(t_m * Float64(k * k))) * Float64(Float64(l / sin(k)) / tan(k))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 8.2e-7) tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l)); else tmp = ((2.0 * l) / (t_m * (k * k))) * ((l / sin(k)) / tan(k)); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 8.2e-7], N[(N[(N[(l / t$95$m), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] / N[(k * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(2.0 * l), $MachinePrecision] / N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision] / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 8.2 \cdot 10^{-7}:\\
\;\;\;\;\frac{\frac{\frac{\ell}{t\_m}}{t\_m \cdot k}}{k \cdot \frac{t\_m}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot \ell}{t\_m \cdot \left(k \cdot k\right)} \cdot \frac{\frac{\ell}{\sin k}}{\tan k}\\
\end{array}
\end{array}
if k < 8.1999999999999998e-7Initial program 60.0%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6456.5%
Simplified56.5%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6469.4%
Applied egg-rr69.4%
associate-/r*N/A
associate-*r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6481.1%
Applied egg-rr81.1%
clear-numN/A
frac-timesN/A
*-lft-identityN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6482.5%
Applied egg-rr82.5%
if 8.1999999999999998e-7 < k Initial program 34.6%
associate-*l*N/A
associate-/r*N/A
cube-unmultN/A
associate-/r*N/A
associate-/r*N/A
associate-/r/N/A
associate-/l*N/A
*-commutativeN/A
times-fracN/A
Applied egg-rr42.9%
Taylor expanded in t around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6470.7%
Simplified70.7%
Final simplification79.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 5.7e+102)
(/ (/ (/ l t_m) (* t_m k)) (* k (/ t_m l)))
(* (/ (* l -0.6666666666666666) (* t_m k)) (/ l k)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.7e+102) {
tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l));
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 5.7d+102) then
tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l))
else
tmp = ((l * (-0.6666666666666666d0)) / (t_m * k)) * (l / k)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.7e+102) {
tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l));
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 5.7e+102: tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l)) else: tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 5.7e+102) tmp = Float64(Float64(Float64(l / t_m) / Float64(t_m * k)) / Float64(k * Float64(t_m / l))); else tmp = Float64(Float64(Float64(l * -0.6666666666666666) / Float64(t_m * k)) * Float64(l / k)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 5.7e+102) tmp = ((l / t_m) / (t_m * k)) / (k * (t_m / l)); else tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 5.7e+102], N[(N[(N[(l / t$95$m), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] / N[(k * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * -0.6666666666666666), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] * N[(l / k), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 5.7 \cdot 10^{+102}:\\
\;\;\;\;\frac{\frac{\frac{\ell}{t\_m}}{t\_m \cdot k}}{k \cdot \frac{t\_m}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot -0.6666666666666666}{t\_m \cdot k} \cdot \frac{\ell}{k}\\
\end{array}
\end{array}
if k < 5.6999999999999999e102Initial program 58.8%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6456.1%
Simplified56.1%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6468.0%
Applied egg-rr68.0%
associate-/r*N/A
associate-*r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6478.8%
Applied egg-rr78.8%
clear-numN/A
frac-timesN/A
*-lft-identityN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6480.1%
Applied egg-rr80.1%
if 5.6999999999999999e102 < k Initial program 31.3%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified36.1%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6437.5%
Simplified37.5%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified15.4%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6455.6%
Simplified55.6%
associate-*r*N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6461.3%
Applied egg-rr61.3%
Final simplification76.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 7.9e+99)
(* (/ (/ l t_m) (* t_m k)) (/ (/ l t_m) k))
(* (/ (* l -0.6666666666666666) (* t_m k)) (/ l k)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 7.9e+99) {
tmp = ((l / t_m) / (t_m * k)) * ((l / t_m) / k);
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 7.9d+99) then
tmp = ((l / t_m) / (t_m * k)) * ((l / t_m) / k)
else
tmp = ((l * (-0.6666666666666666d0)) / (t_m * k)) * (l / k)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 7.9e+99) {
tmp = ((l / t_m) / (t_m * k)) * ((l / t_m) / k);
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 7.9e+99: tmp = ((l / t_m) / (t_m * k)) * ((l / t_m) / k) else: tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 7.9e+99) tmp = Float64(Float64(Float64(l / t_m) / Float64(t_m * k)) * Float64(Float64(l / t_m) / k)); else tmp = Float64(Float64(Float64(l * -0.6666666666666666) / Float64(t_m * k)) * Float64(l / k)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 7.9e+99) tmp = ((l / t_m) / (t_m * k)) * ((l / t_m) / k); else tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 7.9e+99], N[(N[(N[(l / t$95$m), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] * N[(N[(l / t$95$m), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * -0.6666666666666666), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] * N[(l / k), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 7.9 \cdot 10^{+99}:\\
\;\;\;\;\frac{\frac{\ell}{t\_m}}{t\_m \cdot k} \cdot \frac{\frac{\ell}{t\_m}}{k}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot -0.6666666666666666}{t\_m \cdot k} \cdot \frac{\ell}{k}\\
\end{array}
\end{array}
if k < 7.9000000000000003e99Initial program 58.8%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6456.1%
Simplified56.1%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6468.0%
Applied egg-rr68.0%
associate-/r*N/A
associate-*r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6478.8%
Applied egg-rr78.8%
*-commutativeN/A
clear-numN/A
frac-timesN/A
div-invN/A
*-rgt-identityN/A
clear-numN/A
div-invN/A
clear-numN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f6480.1%
Applied egg-rr80.1%
if 7.9000000000000003e99 < k Initial program 31.3%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified36.1%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6437.5%
Simplified37.5%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified15.4%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6455.6%
Simplified55.6%
associate-*r*N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6461.3%
Applied egg-rr61.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 5.7e+102)
(* (/ l t_m) (/ (/ (/ l (* t_m k)) t_m) k))
(* (/ (* l -0.6666666666666666) (* t_m k)) (/ l k)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.7e+102) {
tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k);
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 5.7d+102) then
tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k)
else
tmp = ((l * (-0.6666666666666666d0)) / (t_m * k)) * (l / k)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.7e+102) {
tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k);
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 5.7e+102: tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k) else: tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 5.7e+102) tmp = Float64(Float64(l / t_m) * Float64(Float64(Float64(l / Float64(t_m * k)) / t_m) / k)); else tmp = Float64(Float64(Float64(l * -0.6666666666666666) / Float64(t_m * k)) * Float64(l / k)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 5.7e+102) tmp = (l / t_m) * (((l / (t_m * k)) / t_m) / k); else tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 5.7e+102], N[(N[(l / t$95$m), $MachinePrecision] * N[(N[(N[(l / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * -0.6666666666666666), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] * N[(l / k), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 5.7 \cdot 10^{+102}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\frac{\frac{\ell}{t\_m \cdot k}}{t\_m}}{k}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot -0.6666666666666666}{t\_m \cdot k} \cdot \frac{\ell}{k}\\
\end{array}
\end{array}
if k < 5.6999999999999999e102Initial program 58.8%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6456.1%
Simplified56.1%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6468.0%
Applied egg-rr68.0%
associate-/r*N/A
associate-*r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6478.8%
Applied egg-rr78.8%
associate-/l/N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6478.9%
Applied egg-rr78.9%
if 5.6999999999999999e102 < k Initial program 31.3%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified36.1%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6437.5%
Simplified37.5%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified15.4%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6455.6%
Simplified55.6%
associate-*r*N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6461.3%
Applied egg-rr61.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 2.7e+104)
(* (/ l t_m) (/ (/ (/ l t_m) (* t_m k)) k))
(* (/ (* l -0.6666666666666666) (* t_m k)) (/ l k)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 2.7e+104) {
tmp = (l / t_m) * (((l / t_m) / (t_m * k)) / k);
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 2.7d+104) then
tmp = (l / t_m) * (((l / t_m) / (t_m * k)) / k)
else
tmp = ((l * (-0.6666666666666666d0)) / (t_m * k)) * (l / k)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 2.7e+104) {
tmp = (l / t_m) * (((l / t_m) / (t_m * k)) / k);
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 2.7e+104: tmp = (l / t_m) * (((l / t_m) / (t_m * k)) / k) else: tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 2.7e+104) tmp = Float64(Float64(l / t_m) * Float64(Float64(Float64(l / t_m) / Float64(t_m * k)) / k)); else tmp = Float64(Float64(Float64(l * -0.6666666666666666) / Float64(t_m * k)) * Float64(l / k)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 2.7e+104) tmp = (l / t_m) * (((l / t_m) / (t_m * k)) / k); else tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 2.7e+104], N[(N[(l / t$95$m), $MachinePrecision] * N[(N[(N[(l / t$95$m), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * -0.6666666666666666), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] * N[(l / k), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 2.7 \cdot 10^{+104}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\frac{\frac{\ell}{t\_m}}{t\_m \cdot k}}{k}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot -0.6666666666666666}{t\_m \cdot k} \cdot \frac{\ell}{k}\\
\end{array}
\end{array}
if k < 2.69999999999999985e104Initial program 58.8%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6456.1%
Simplified56.1%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6468.0%
Applied egg-rr68.0%
associate-/r*N/A
associate-*r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6478.8%
Applied egg-rr78.8%
if 2.69999999999999985e104 < k Initial program 31.3%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified36.1%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6437.5%
Simplified37.5%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified15.4%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6455.6%
Simplified55.6%
associate-*r*N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6461.3%
Applied egg-rr61.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 5.3e+99)
(* (/ l t_m) (/ (/ l (* t_m (* t_m k))) k))
(* (/ (* l -0.6666666666666666) (* t_m k)) (/ l k)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.3e+99) {
tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k);
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 5.3d+99) then
tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k)
else
tmp = ((l * (-0.6666666666666666d0)) / (t_m * k)) * (l / k)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.3e+99) {
tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k);
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 5.3e+99: tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k) else: tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 5.3e+99) tmp = Float64(Float64(l / t_m) * Float64(Float64(l / Float64(t_m * Float64(t_m * k))) / k)); else tmp = Float64(Float64(Float64(l * -0.6666666666666666) / Float64(t_m * k)) * Float64(l / k)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 5.3e+99) tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k); else tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 5.3e+99], N[(N[(l / t$95$m), $MachinePrecision] * N[(N[(l / N[(t$95$m * N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * -0.6666666666666666), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] * N[(l / k), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 5.3 \cdot 10^{+99}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\frac{\ell}{t\_m \cdot \left(t\_m \cdot k\right)}}{k}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot -0.6666666666666666}{t\_m \cdot k} \cdot \frac{\ell}{k}\\
\end{array}
\end{array}
if k < 5.30000000000000034e99Initial program 58.8%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6456.1%
Simplified56.1%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6468.0%
Applied egg-rr68.0%
associate-/r*N/A
associate-*r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6478.8%
Applied egg-rr78.8%
associate-/r*N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6476.9%
Applied egg-rr76.9%
if 5.30000000000000034e99 < k Initial program 31.3%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified36.1%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6437.5%
Simplified37.5%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified15.4%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6455.6%
Simplified55.6%
associate-*r*N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6461.3%
Applied egg-rr61.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 3.5e+104)
(* (/ l t_m) (/ l (* (* t_m k) (* t_m k))))
(* (/ (* l -0.6666666666666666) (* t_m k)) (/ l k)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 3.5e+104) {
tmp = (l / t_m) * (l / ((t_m * k) * (t_m * k)));
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 3.5d+104) then
tmp = (l / t_m) * (l / ((t_m * k) * (t_m * k)))
else
tmp = ((l * (-0.6666666666666666d0)) / (t_m * k)) * (l / k)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 3.5e+104) {
tmp = (l / t_m) * (l / ((t_m * k) * (t_m * k)));
} else {
tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 3.5e+104: tmp = (l / t_m) * (l / ((t_m * k) * (t_m * k))) else: tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 3.5e+104) tmp = Float64(Float64(l / t_m) * Float64(l / Float64(Float64(t_m * k) * Float64(t_m * k)))); else tmp = Float64(Float64(Float64(l * -0.6666666666666666) / Float64(t_m * k)) * Float64(l / k)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 3.5e+104) tmp = (l / t_m) * (l / ((t_m * k) * (t_m * k))); else tmp = ((l * -0.6666666666666666) / (t_m * k)) * (l / k); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 3.5e+104], N[(N[(l / t$95$m), $MachinePrecision] * N[(l / N[(N[(t$95$m * k), $MachinePrecision] * N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * -0.6666666666666666), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] * N[(l / k), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 3.5 \cdot 10^{+104}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\ell}{\left(t\_m \cdot k\right) \cdot \left(t\_m \cdot k\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot -0.6666666666666666}{t\_m \cdot k} \cdot \frac{\ell}{k}\\
\end{array}
\end{array}
if k < 3.5000000000000002e104Initial program 58.8%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6456.1%
Simplified56.1%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6468.0%
Applied egg-rr68.0%
associate-*r*N/A
unswap-sqrN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6474.3%
Applied egg-rr74.3%
if 3.5000000000000002e104 < k Initial program 31.3%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified36.1%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6437.5%
Simplified37.5%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified15.4%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6455.6%
Simplified55.6%
associate-*r*N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6461.3%
Applied egg-rr61.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= l 4.3e-215)
(/ (/ (/ (* l (* l -0.6666666666666666)) t_m) k) k)
(* (/ l t_m) (/ l (* t_m (* t_m (* k k))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 4.3e-215) {
tmp = (((l * (l * -0.6666666666666666)) / t_m) / k) / k;
} else {
tmp = (l / t_m) * (l / (t_m * (t_m * (k * k))));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (l <= 4.3d-215) then
tmp = (((l * (l * (-0.6666666666666666d0))) / t_m) / k) / k
else
tmp = (l / t_m) * (l / (t_m * (t_m * (k * k))))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 4.3e-215) {
tmp = (((l * (l * -0.6666666666666666)) / t_m) / k) / k;
} else {
tmp = (l / t_m) * (l / (t_m * (t_m * (k * k))));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if l <= 4.3e-215: tmp = (((l * (l * -0.6666666666666666)) / t_m) / k) / k else: tmp = (l / t_m) * (l / (t_m * (t_m * (k * k)))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (l <= 4.3e-215) tmp = Float64(Float64(Float64(Float64(l * Float64(l * -0.6666666666666666)) / t_m) / k) / k); else tmp = Float64(Float64(l / t_m) * Float64(l / Float64(t_m * Float64(t_m * Float64(k * k))))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (l <= 4.3e-215) tmp = (((l * (l * -0.6666666666666666)) / t_m) / k) / k; else tmp = (l / t_m) * (l / (t_m * (t_m * (k * k)))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[l, 4.3e-215], N[(N[(N[(N[(l * N[(l * -0.6666666666666666), $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision] / k), $MachinePrecision] / k), $MachinePrecision], N[(N[(l / t$95$m), $MachinePrecision] * N[(l / N[(t$95$m * N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \leq 4.3 \cdot 10^{-215}:\\
\;\;\;\;\frac{\frac{\frac{\ell \cdot \left(\ell \cdot -0.6666666666666666\right)}{t\_m}}{k}}{k}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\ell}{t\_m \cdot \left(t\_m \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if l < 4.30000000000000024e-215Initial program 58.5%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified56.0%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6450.4%
Simplified50.4%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified26.6%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6435.4%
Simplified35.4%
associate-/r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6440.9%
Applied egg-rr40.9%
if 4.30000000000000024e-215 < l Initial program 47.1%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6449.2%
Simplified49.2%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6461.8%
Applied egg-rr61.8%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ (/ (/ (* l (* l -0.6666666666666666)) t_m) k) k)))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * ((((l * (l * -0.6666666666666666)) / t_m) / k) / k);
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((((l * (l * (-0.6666666666666666d0))) / t_m) / k) / k)
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * ((((l * (l * -0.6666666666666666)) / t_m) / k) / k);
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * ((((l * (l * -0.6666666666666666)) / t_m) / k) / k)
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(Float64(Float64(Float64(l * Float64(l * -0.6666666666666666)) / t_m) / k) / k)) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((((l * (l * -0.6666666666666666)) / t_m) / k) / k); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(N[(N[(N[(l * N[(l * -0.6666666666666666), $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision] / k), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{\frac{\frac{\ell \cdot \left(\ell \cdot -0.6666666666666666\right)}{t\_m}}{k}}{k}
\end{array}
Initial program 53.8%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified51.0%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6447.2%
Simplified47.2%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified22.7%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6426.9%
Simplified26.9%
associate-/r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6431.1%
Applied egg-rr31.1%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* (/ (* l l) (* t_m k)) (/ -0.6666666666666666 k))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (((l * l) / (t_m * k)) * (-0.6666666666666666 / k));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (((l * l) / (t_m * k)) * ((-0.6666666666666666d0) / k))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (((l * l) / (t_m * k)) * (-0.6666666666666666 / k));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (((l * l) / (t_m * k)) * (-0.6666666666666666 / k))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(Float64(Float64(l * l) / Float64(t_m * k)) * Float64(-0.6666666666666666 / k))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (((l * l) / (t_m * k)) * (-0.6666666666666666 / k)); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(N[(N[(l * l), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] * N[(-0.6666666666666666 / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(\frac{\ell \cdot \ell}{t\_m \cdot k} \cdot \frac{-0.6666666666666666}{k}\right)
\end{array}
Initial program 53.8%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified51.0%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6447.2%
Simplified47.2%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified22.7%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6426.9%
Simplified26.9%
*-commutativeN/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6430.7%
Applied egg-rr30.7%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* (/ (* l -0.6666666666666666) (* t_m k)) (/ l k))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (((l * -0.6666666666666666) / (t_m * k)) * (l / k));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (((l * (-0.6666666666666666d0)) / (t_m * k)) * (l / k))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (((l * -0.6666666666666666) / (t_m * k)) * (l / k));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (((l * -0.6666666666666666) / (t_m * k)) * (l / k))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(Float64(Float64(l * -0.6666666666666666) / Float64(t_m * k)) * Float64(l / k))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (((l * -0.6666666666666666) / (t_m * k)) * (l / k)); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(N[(N[(l * -0.6666666666666666), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] * N[(l / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(\frac{\ell \cdot -0.6666666666666666}{t\_m \cdot k} \cdot \frac{\ell}{k}\right)
\end{array}
Initial program 53.8%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified51.0%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6447.2%
Simplified47.2%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified22.7%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6426.9%
Simplified26.9%
associate-*r*N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6429.5%
Applied egg-rr29.5%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* (* l -0.6666666666666666) (/ l (* t_m (* k k))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * ((l * -0.6666666666666666) * (l / (t_m * (k * k))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((l * (-0.6666666666666666d0)) * (l / (t_m * (k * k))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * ((l * -0.6666666666666666) * (l / (t_m * (k * k))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * ((l * -0.6666666666666666) * (l / (t_m * (k * k))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(Float64(l * -0.6666666666666666) * Float64(l / Float64(t_m * Float64(k * k))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((l * -0.6666666666666666) * (l / (t_m * (k * k)))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(N[(l * -0.6666666666666666), $MachinePrecision] * N[(l / N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(\left(\ell \cdot -0.6666666666666666\right) \cdot \frac{\ell}{t\_m \cdot \left(k \cdot k\right)}\right)
\end{array}
Initial program 53.8%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified51.0%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6447.2%
Simplified47.2%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified22.7%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6426.9%
Simplified26.9%
associate-*r*N/A
associate-/l*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6428.1%
Applied egg-rr28.1%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* -0.6666666666666666 (* l (/ (/ l (* k k)) t_m)))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (-0.6666666666666666 * (l * ((l / (k * k)) / t_m)));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((-0.6666666666666666d0) * (l * ((l / (k * k)) / t_m)))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (-0.6666666666666666 * (l * ((l / (k * k)) / t_m)));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (-0.6666666666666666 * (l * ((l / (k * k)) / t_m)))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(-0.6666666666666666 * Float64(l * Float64(Float64(l / Float64(k * k)) / t_m)))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (-0.6666666666666666 * (l * ((l / (k * k)) / t_m))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(-0.6666666666666666 * N[(l * N[(N[(l / N[(k * k), $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(-0.6666666666666666 \cdot \left(\ell \cdot \frac{\frac{\ell}{k \cdot k}}{t\_m}\right)\right)
\end{array}
Initial program 53.8%
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
tan-lowering-tan.f64N/A
Simplified51.0%
Taylor expanded in k around 0
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6447.2%
Simplified47.2%
Taylor expanded in k around 0
+-commutativeN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
/-lowering-/.f64N/A
Simplified22.7%
Taylor expanded in k around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6426.9%
Simplified26.9%
Taylor expanded in l around 0
*-lowering-*.f64N/A
unpow2N/A
associate-/l*N/A
*-lowering-*.f64N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6427.7%
Simplified27.7%
herbie shell --seed 2024288
(FPCore (t l k)
:name "Toniolo and Linder, Equation (10+)"
:precision binary64
(/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))