
(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 13 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 1.5e-40)
(/ 2.0 (* (/ (* (* k k) (/ (pow (sin k) 2.0) l)) (cos k)) (/ t_m l)))
(/
2.0
(*
(/ t_m l)
(*
(* t_m (/ (* t_m (sin k)) l))
(* (tan k) (+ 2.0 (/ k (/ (* t_m 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 <= 1.5e-40) {
tmp = 2.0 / ((((k * k) * (pow(sin(k), 2.0) / l)) / cos(k)) * (t_m / l));
} else {
tmp = 2.0 / ((t_m / l) * ((t_m * ((t_m * sin(k)) / l)) * (tan(k) * (2.0 + (k / ((t_m * 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 <= 1.5d-40) then
tmp = 2.0d0 / ((((k * k) * ((sin(k) ** 2.0d0) / l)) / cos(k)) * (t_m / l))
else
tmp = 2.0d0 / ((t_m / l) * ((t_m * ((t_m * sin(k)) / l)) * (tan(k) * (2.0d0 + (k / ((t_m * 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 <= 1.5e-40) {
tmp = 2.0 / ((((k * k) * (Math.pow(Math.sin(k), 2.0) / l)) / Math.cos(k)) * (t_m / l));
} else {
tmp = 2.0 / ((t_m / l) * ((t_m * ((t_m * Math.sin(k)) / l)) * (Math.tan(k) * (2.0 + (k / ((t_m * 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 <= 1.5e-40: tmp = 2.0 / ((((k * k) * (math.pow(math.sin(k), 2.0) / l)) / math.cos(k)) * (t_m / l)) else: tmp = 2.0 / ((t_m / l) * ((t_m * ((t_m * math.sin(k)) / l)) * (math.tan(k) * (2.0 + (k / ((t_m * 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 <= 1.5e-40) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(k * k) * Float64((sin(k) ^ 2.0) / l)) / cos(k)) * Float64(t_m / l))); else tmp = Float64(2.0 / Float64(Float64(t_m / l) * Float64(Float64(t_m * Float64(Float64(t_m * sin(k)) / l)) * Float64(tan(k) * Float64(2.0 + Float64(k / Float64(Float64(t_m * 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 <= 1.5e-40) tmp = 2.0 / ((((k * k) * ((sin(k) ^ 2.0) / l)) / cos(k)) * (t_m / l)); else tmp = 2.0 / ((t_m / l) * ((t_m * ((t_m * sin(k)) / l)) * (tan(k) * (2.0 + (k / ((t_m * 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, 1.5e-40], N[(2.0 / N[(N[(N[(N[(k * k), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * N[(N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[(k / N[(N[(t$95$m * t$95$m), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]), $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}\;t\_m \leq 1.5 \cdot 10^{-40}:\\
\;\;\;\;\frac{2}{\frac{\left(k \cdot k\right) \cdot \frac{{\sin k}^{2}}{\ell}}{\cos k} \cdot \frac{t\_m}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{t\_m}{\ell} \cdot \left(\left(t\_m \cdot \frac{t\_m \cdot \sin k}{\ell}\right) \cdot \left(\tan k \cdot \left(2 + \frac{k}{\frac{t\_m \cdot t\_m}{k}}\right)\right)\right)}\\
\end{array}
\end{array}
if t < 1.5000000000000001e-40Initial program 47.3%
Applied egg-rr58.1%
Taylor expanded in t around 0
associate-/r*N/A
/-lowering-/.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f6472.2%
Simplified72.2%
if 1.5000000000000001e-40 < t Initial program 67.3%
Applied egg-rr69.1%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
associate-*l/N/A
associate-/r/N/A
associate-*l*N/A
associate-*r/N/A
associate-*l/N/A
associate-*r*N/A
Applied egg-rr94.2%
Final simplification77.8%
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
(if (<= k 5e-123)
(* (/ l t_m) (/ (/ l (* t_m (* t_m k))) k))
(if (<= k 235000.0)
(/
2.0
(*
(/ t_m l)
(*
(* k k)
(+
(/ (* 2.0 (* t_m t_m)) l)
(/ (* k (* k (+ 1.0 (* (* t_m t_m) 0.3333333333333333)))) l)))))
(/
2.0
(*
(/ t_m l)
(*
t_m
(*
t_m
(* (+ 2.0 (/ k (/ (* t_m t_m) k))) (/ (* (sin k) (tan k)) l))))))))))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 <= 5e-123) {
tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k);
} else if (k <= 235000.0) {
tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l))));
} else {
tmp = 2.0 / ((t_m / l) * (t_m * (t_m * ((2.0 + (k / ((t_m * t_m) / k))) * ((sin(k) * tan(k)) / l)))));
}
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 <= 5d-123) then
tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k)
else if (k <= 235000.0d0) then
tmp = 2.0d0 / ((t_m / l) * ((k * k) * (((2.0d0 * (t_m * t_m)) / l) + ((k * (k * (1.0d0 + ((t_m * t_m) * 0.3333333333333333d0)))) / l))))
else
tmp = 2.0d0 / ((t_m / l) * (t_m * (t_m * ((2.0d0 + (k / ((t_m * t_m) / k))) * ((sin(k) * tan(k)) / l)))))
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 <= 5e-123) {
tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k);
} else if (k <= 235000.0) {
tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l))));
} else {
tmp = 2.0 / ((t_m / l) * (t_m * (t_m * ((2.0 + (k / ((t_m * t_m) / k))) * ((Math.sin(k) * Math.tan(k)) / l)))));
}
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 <= 5e-123: tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k) elif k <= 235000.0: tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l)))) else: tmp = 2.0 / ((t_m / l) * (t_m * (t_m * ((2.0 + (k / ((t_m * t_m) / k))) * ((math.sin(k) * math.tan(k)) / l))))) 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 <= 5e-123) tmp = Float64(Float64(l / t_m) * Float64(Float64(l / Float64(t_m * Float64(t_m * k))) / k)); elseif (k <= 235000.0) tmp = Float64(2.0 / Float64(Float64(t_m / l) * Float64(Float64(k * k) * Float64(Float64(Float64(2.0 * Float64(t_m * t_m)) / l) + Float64(Float64(k * Float64(k * Float64(1.0 + Float64(Float64(t_m * t_m) * 0.3333333333333333)))) / l))))); else tmp = Float64(2.0 / Float64(Float64(t_m / l) * Float64(t_m * Float64(t_m * Float64(Float64(2.0 + Float64(k / Float64(Float64(t_m * t_m) / k))) * Float64(Float64(sin(k) * tan(k)) / l)))))); 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 <= 5e-123) tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k); elseif (k <= 235000.0) tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l)))); else tmp = 2.0 / ((t_m / l) * (t_m * (t_m * ((2.0 + (k / ((t_m * t_m) / k))) * ((sin(k) * tan(k)) / l))))); 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, 5e-123], 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], If[LessEqual[k, 235000.0], N[(2.0 / N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(k * k), $MachinePrecision] * N[(N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] + N[(N[(k * N[(k * N[(1.0 + N[(N[(t$95$m * t$95$m), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(t$95$m / l), $MachinePrecision] * N[(t$95$m * N[(t$95$m * N[(N[(2.0 + N[(k / N[(N[(t$95$m * t$95$m), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $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}\;k \leq 5 \cdot 10^{-123}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\frac{\ell}{t\_m \cdot \left(t\_m \cdot k\right)}}{k}\\
\mathbf{elif}\;k \leq 235000:\\
\;\;\;\;\frac{2}{\frac{t\_m}{\ell} \cdot \left(\left(k \cdot k\right) \cdot \left(\frac{2 \cdot \left(t\_m \cdot t\_m\right)}{\ell} + \frac{k \cdot \left(k \cdot \left(1 + \left(t\_m \cdot t\_m\right) \cdot 0.3333333333333333\right)\right)}{\ell}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{t\_m}{\ell} \cdot \left(t\_m \cdot \left(t\_m \cdot \left(\left(2 + \frac{k}{\frac{t\_m \cdot t\_m}{k}}\right) \cdot \frac{\sin k \cdot \tan k}{\ell}\right)\right)\right)}\\
\end{array}
\end{array}
if k < 5.0000000000000003e-123Initial program 58.2%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6457.5%
Simplified57.5%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6468.2%
Applied egg-rr68.2%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6470.1%
Applied egg-rr70.1%
associate-*l/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6474.3%
Applied egg-rr74.3%
if 5.0000000000000003e-123 < k < 235000Initial program 60.2%
Applied egg-rr76.1%
Taylor expanded in k around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Simplified91.9%
if 235000 < k Initial program 34.2%
Applied egg-rr41.0%
associate-/l*N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
associate-/l*N/A
associate-*l/N/A
associate-/r/N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
Applied egg-rr63.9%
Final simplification74.0%
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 (/ l (* t_m k))))
(*
t_s
(if (<= t_m 3.5e-58)
(/
2.0
(*
(/ t_m l)
(*
(* k k)
(+
(/ (* 2.0 (* t_m t_m)) l)
(/ (* k (* k (+ 1.0 (* (* t_m t_m) 0.3333333333333333)))) l)))))
(if (<= t_m 2.8e+34)
(*
l
(*
l
(/
(/ 2.0 t_m)
(*
(* t_m t_m)
(* (* (sin k) (tan k)) (+ 2.0 (/ (/ (* k k) t_m) t_m)))))))
(/ (* t_2 t_2) t_m))))))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 = l / (t_m * k);
double tmp;
if (t_m <= 3.5e-58) {
tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l))));
} else if (t_m <= 2.8e+34) {
tmp = l * (l * ((2.0 / t_m) / ((t_m * t_m) * ((sin(k) * tan(k)) * (2.0 + (((k * k) / t_m) / t_m))))));
} else {
tmp = (t_2 * t_2) / t_m;
}
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 = l / (t_m * k)
if (t_m <= 3.5d-58) then
tmp = 2.0d0 / ((t_m / l) * ((k * k) * (((2.0d0 * (t_m * t_m)) / l) + ((k * (k * (1.0d0 + ((t_m * t_m) * 0.3333333333333333d0)))) / l))))
else if (t_m <= 2.8d+34) then
tmp = l * (l * ((2.0d0 / t_m) / ((t_m * t_m) * ((sin(k) * tan(k)) * (2.0d0 + (((k * k) / t_m) / t_m))))))
else
tmp = (t_2 * t_2) / t_m
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 = l / (t_m * k);
double tmp;
if (t_m <= 3.5e-58) {
tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l))));
} else if (t_m <= 2.8e+34) {
tmp = l * (l * ((2.0 / t_m) / ((t_m * t_m) * ((Math.sin(k) * Math.tan(k)) * (2.0 + (((k * k) / t_m) / t_m))))));
} else {
tmp = (t_2 * t_2) / t_m;
}
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 = l / (t_m * k) tmp = 0 if t_m <= 3.5e-58: tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l)))) elif t_m <= 2.8e+34: tmp = l * (l * ((2.0 / t_m) / ((t_m * t_m) * ((math.sin(k) * math.tan(k)) * (2.0 + (((k * k) / t_m) / t_m)))))) else: tmp = (t_2 * t_2) / t_m 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(l / Float64(t_m * k)) tmp = 0.0 if (t_m <= 3.5e-58) tmp = Float64(2.0 / Float64(Float64(t_m / l) * Float64(Float64(k * k) * Float64(Float64(Float64(2.0 * Float64(t_m * t_m)) / l) + Float64(Float64(k * Float64(k * Float64(1.0 + Float64(Float64(t_m * t_m) * 0.3333333333333333)))) / l))))); elseif (t_m <= 2.8e+34) tmp = Float64(l * Float64(l * Float64(Float64(2.0 / t_m) / Float64(Float64(t_m * t_m) * Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + Float64(Float64(Float64(k * k) / t_m) / t_m))))))); else tmp = Float64(Float64(t_2 * t_2) / t_m); 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 = l / (t_m * k); tmp = 0.0; if (t_m <= 3.5e-58) tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l)))); elseif (t_m <= 2.8e+34) tmp = l * (l * ((2.0 / t_m) / ((t_m * t_m) * ((sin(k) * tan(k)) * (2.0 + (((k * k) / t_m) / t_m)))))); else tmp = (t_2 * t_2) / t_m; 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[(l / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 3.5e-58], N[(2.0 / N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(k * k), $MachinePrecision] * N[(N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] + N[(N[(k * N[(k * N[(1.0 + N[(N[(t$95$m * t$95$m), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.8e+34], N[(l * N[(l * N[(N[(2.0 / t$95$m), $MachinePrecision] / N[(N[(t$95$m * t$95$m), $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[(N[(N[(k * k), $MachinePrecision] / t$95$m), $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 * t$95$2), $MachinePrecision] / t$95$m), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{\ell}{t\_m \cdot k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.5 \cdot 10^{-58}:\\
\;\;\;\;\frac{2}{\frac{t\_m}{\ell} \cdot \left(\left(k \cdot k\right) \cdot \left(\frac{2 \cdot \left(t\_m \cdot t\_m\right)}{\ell} + \frac{k \cdot \left(k \cdot \left(1 + \left(t\_m \cdot t\_m\right) \cdot 0.3333333333333333\right)\right)}{\ell}\right)\right)}\\
\mathbf{elif}\;t\_m \leq 2.8 \cdot 10^{+34}:\\
\;\;\;\;\ell \cdot \left(\ell \cdot \frac{\frac{2}{t\_m}}{\left(t\_m \cdot t\_m\right) \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(2 + \frac{\frac{k \cdot k}{t\_m}}{t\_m}\right)\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_2 \cdot t\_2}{t\_m}\\
\end{array}
\end{array}
\end{array}
if t < 3.4999999999999999e-58Initial program 46.8%
Applied egg-rr57.0%
Taylor expanded in k around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Simplified68.0%
if 3.4999999999999999e-58 < t < 2.80000000000000008e34Initial program 69.4%
Applied egg-rr88.2%
if 2.80000000000000008e34 < t Initial program 65.7%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6464.3%
Simplified64.3%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6470.5%
Applied egg-rr70.5%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6474.6%
Applied egg-rr74.6%
associate-/l/N/A
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f6481.2%
Applied egg-rr81.2%
Final simplification72.2%
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 4.7e-58)
(/
2.0
(*
(/ t_m l)
(*
(* k k)
(+
(/ (* 2.0 (* t_m t_m)) l)
(/ (* k (* k (+ 1.0 (* (* t_m t_m) 0.3333333333333333)))) l)))))
(/
2.0
(*
(/ t_m l)
(*
(* t_m (/ (* t_m (sin k)) l))
(* (tan k) (+ 2.0 (/ k (/ (* t_m 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 <= 4.7e-58) {
tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l))));
} else {
tmp = 2.0 / ((t_m / l) * ((t_m * ((t_m * sin(k)) / l)) * (tan(k) * (2.0 + (k / ((t_m * 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 <= 4.7d-58) then
tmp = 2.0d0 / ((t_m / l) * ((k * k) * (((2.0d0 * (t_m * t_m)) / l) + ((k * (k * (1.0d0 + ((t_m * t_m) * 0.3333333333333333d0)))) / l))))
else
tmp = 2.0d0 / ((t_m / l) * ((t_m * ((t_m * sin(k)) / l)) * (tan(k) * (2.0d0 + (k / ((t_m * 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 <= 4.7e-58) {
tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l))));
} else {
tmp = 2.0 / ((t_m / l) * ((t_m * ((t_m * Math.sin(k)) / l)) * (Math.tan(k) * (2.0 + (k / ((t_m * 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 <= 4.7e-58: tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l)))) else: tmp = 2.0 / ((t_m / l) * ((t_m * ((t_m * math.sin(k)) / l)) * (math.tan(k) * (2.0 + (k / ((t_m * 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 <= 4.7e-58) tmp = Float64(2.0 / Float64(Float64(t_m / l) * Float64(Float64(k * k) * Float64(Float64(Float64(2.0 * Float64(t_m * t_m)) / l) + Float64(Float64(k * Float64(k * Float64(1.0 + Float64(Float64(t_m * t_m) * 0.3333333333333333)))) / l))))); else tmp = Float64(2.0 / Float64(Float64(t_m / l) * Float64(Float64(t_m * Float64(Float64(t_m * sin(k)) / l)) * Float64(tan(k) * Float64(2.0 + Float64(k / Float64(Float64(t_m * 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 <= 4.7e-58) tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l)))); else tmp = 2.0 / ((t_m / l) * ((t_m * ((t_m * sin(k)) / l)) * (tan(k) * (2.0 + (k / ((t_m * 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, 4.7e-58], N[(2.0 / N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(k * k), $MachinePrecision] * N[(N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] + N[(N[(k * N[(k * N[(1.0 + N[(N[(t$95$m * t$95$m), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * N[(N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[(k / N[(N[(t$95$m * t$95$m), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]), $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}\;t\_m \leq 4.7 \cdot 10^{-58}:\\
\;\;\;\;\frac{2}{\frac{t\_m}{\ell} \cdot \left(\left(k \cdot k\right) \cdot \left(\frac{2 \cdot \left(t\_m \cdot t\_m\right)}{\ell} + \frac{k \cdot \left(k \cdot \left(1 + \left(t\_m \cdot t\_m\right) \cdot 0.3333333333333333\right)\right)}{\ell}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{t\_m}{\ell} \cdot \left(\left(t\_m \cdot \frac{t\_m \cdot \sin k}{\ell}\right) \cdot \left(\tan k \cdot \left(2 + \frac{k}{\frac{t\_m \cdot t\_m}{k}}\right)\right)\right)}\\
\end{array}
\end{array}
if t < 4.69999999999999994e-58Initial program 46.8%
Applied egg-rr57.0%
Taylor expanded in k around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Simplified68.0%
if 4.69999999999999994e-58 < t Initial program 67.0%
Applied egg-rr71.3%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
associate-*l/N/A
associate-/r/N/A
associate-*l*N/A
associate-*r/N/A
associate-*l/N/A
associate-*r*N/A
Applied egg-rr94.6%
Final simplification75.2%
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 (/ l (* t_m k))))
(*
t_s
(if (<= t_m 1.65e-12)
(/
2.0
(*
(/ t_m l)
(*
(* k k)
(+
(/ (* 2.0 (* t_m t_m)) l)
(/ (* k (* k (+ 1.0 (* (* t_m t_m) 0.3333333333333333)))) l)))))
(/ (* t_2 t_2) t_m)))))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 = l / (t_m * k);
double tmp;
if (t_m <= 1.65e-12) {
tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l))));
} else {
tmp = (t_2 * t_2) / t_m;
}
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 = l / (t_m * k)
if (t_m <= 1.65d-12) then
tmp = 2.0d0 / ((t_m / l) * ((k * k) * (((2.0d0 * (t_m * t_m)) / l) + ((k * (k * (1.0d0 + ((t_m * t_m) * 0.3333333333333333d0)))) / l))))
else
tmp = (t_2 * t_2) / t_m
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 = l / (t_m * k);
double tmp;
if (t_m <= 1.65e-12) {
tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l))));
} else {
tmp = (t_2 * t_2) / t_m;
}
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 = l / (t_m * k) tmp = 0 if t_m <= 1.65e-12: tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l)))) else: tmp = (t_2 * t_2) / t_m 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(l / Float64(t_m * k)) tmp = 0.0 if (t_m <= 1.65e-12) tmp = Float64(2.0 / Float64(Float64(t_m / l) * Float64(Float64(k * k) * Float64(Float64(Float64(2.0 * Float64(t_m * t_m)) / l) + Float64(Float64(k * Float64(k * Float64(1.0 + Float64(Float64(t_m * t_m) * 0.3333333333333333)))) / l))))); else tmp = Float64(Float64(t_2 * t_2) / t_m); 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 = l / (t_m * k); tmp = 0.0; if (t_m <= 1.65e-12) tmp = 2.0 / ((t_m / l) * ((k * k) * (((2.0 * (t_m * t_m)) / l) + ((k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))) / l)))); else tmp = (t_2 * t_2) / t_m; 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[(l / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.65e-12], N[(2.0 / N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(k * k), $MachinePrecision] * N[(N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] + N[(N[(k * N[(k * N[(1.0 + N[(N[(t$95$m * t$95$m), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 * t$95$2), $MachinePrecision] / t$95$m), $MachinePrecision]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{\ell}{t\_m \cdot k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.65 \cdot 10^{-12}:\\
\;\;\;\;\frac{2}{\frac{t\_m}{\ell} \cdot \left(\left(k \cdot k\right) \cdot \left(\frac{2 \cdot \left(t\_m \cdot t\_m\right)}{\ell} + \frac{k \cdot \left(k \cdot \left(1 + \left(t\_m \cdot t\_m\right) \cdot 0.3333333333333333\right)\right)}{\ell}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_2 \cdot t\_2}{t\_m}\\
\end{array}
\end{array}
\end{array}
if t < 1.65e-12Initial program 48.5%
Applied egg-rr59.0%
Taylor expanded in k around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Simplified67.3%
if 1.65e-12 < t Initial program 65.6%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6462.7%
Simplified62.7%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6468.0%
Applied egg-rr68.0%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6471.3%
Applied egg-rr71.3%
associate-/l/N/A
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f6476.7%
Applied egg-rr76.7%
Final simplification69.4%
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 (/ l (* t_m k))))
(*
t_s
(if (<= k 9e-68)
(/ (* t_2 t_2) t_m)
(/
2.0
(*
(/ t_m l)
(/
(*
(* k k)
(+
(* 2.0 (* t_m t_m))
(* k (* k (+ 1.0 (* (* t_m t_m) 0.3333333333333333))))))
l)))))))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 = l / (t_m * k);
double tmp;
if (k <= 9e-68) {
tmp = (t_2 * t_2) / t_m;
} else {
tmp = 2.0 / ((t_m / l) * (((k * k) * ((2.0 * (t_m * t_m)) + (k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))))) / l));
}
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 = l / (t_m * k)
if (k <= 9d-68) then
tmp = (t_2 * t_2) / t_m
else
tmp = 2.0d0 / ((t_m / l) * (((k * k) * ((2.0d0 * (t_m * t_m)) + (k * (k * (1.0d0 + ((t_m * t_m) * 0.3333333333333333d0)))))) / l))
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 = l / (t_m * k);
double tmp;
if (k <= 9e-68) {
tmp = (t_2 * t_2) / t_m;
} else {
tmp = 2.0 / ((t_m / l) * (((k * k) * ((2.0 * (t_m * t_m)) + (k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))))) / l));
}
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 = l / (t_m * k) tmp = 0 if k <= 9e-68: tmp = (t_2 * t_2) / t_m else: tmp = 2.0 / ((t_m / l) * (((k * k) * ((2.0 * (t_m * t_m)) + (k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))))) / l)) 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(l / Float64(t_m * k)) tmp = 0.0 if (k <= 9e-68) tmp = Float64(Float64(t_2 * t_2) / t_m); else tmp = Float64(2.0 / Float64(Float64(t_m / l) * Float64(Float64(Float64(k * k) * Float64(Float64(2.0 * Float64(t_m * t_m)) + Float64(k * Float64(k * Float64(1.0 + Float64(Float64(t_m * t_m) * 0.3333333333333333)))))) / l))); 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 = l / (t_m * k); tmp = 0.0; if (k <= 9e-68) tmp = (t_2 * t_2) / t_m; else tmp = 2.0 / ((t_m / l) * (((k * k) * ((2.0 * (t_m * t_m)) + (k * (k * (1.0 + ((t_m * t_m) * 0.3333333333333333)))))) / l)); 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[(l / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 9e-68], N[(N[(t$95$2 * t$95$2), $MachinePrecision] / t$95$m), $MachinePrecision], N[(2.0 / N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(N[(k * k), $MachinePrecision] * N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + N[(k * N[(k * N[(1.0 + N[(N[(t$95$m * t$95$m), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $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{\ell}{t\_m \cdot k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 9 \cdot 10^{-68}:\\
\;\;\;\;\frac{t\_2 \cdot t\_2}{t\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{t\_m}{\ell} \cdot \frac{\left(k \cdot k\right) \cdot \left(2 \cdot \left(t\_m \cdot t\_m\right) + k \cdot \left(k \cdot \left(1 + \left(t\_m \cdot t\_m\right) \cdot 0.3333333333333333\right)\right)\right)}{\ell}}\\
\end{array}
\end{array}
\end{array}
if k < 8.99999999999999998e-68Initial program 59.2%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6457.5%
Simplified57.5%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6468.3%
Applied egg-rr68.3%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6470.7%
Applied egg-rr70.7%
associate-/l/N/A
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f6476.6%
Applied egg-rr76.6%
if 8.99999999999999998e-68 < k Initial program 38.4%
Applied egg-rr47.2%
Taylor expanded in k around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified54.3%
Final simplification69.3%
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 (/ l (* t_m k))))
(*
t_s
(if (<= k 1.42e-39)
(/ (* t_2 t_2) t_m)
(/
2.0
(/
(* (* k k) (+ (* t_m (* k k)) (* 2.0 (* t_m (* t_m t_m)))))
(* l l)))))))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 = l / (t_m * k);
double tmp;
if (k <= 1.42e-39) {
tmp = (t_2 * t_2) / t_m;
} else {
tmp = 2.0 / (((k * k) * ((t_m * (k * k)) + (2.0 * (t_m * (t_m * t_m))))) / (l * l));
}
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 = l / (t_m * k)
if (k <= 1.42d-39) then
tmp = (t_2 * t_2) / t_m
else
tmp = 2.0d0 / (((k * k) * ((t_m * (k * k)) + (2.0d0 * (t_m * (t_m * t_m))))) / (l * l))
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 = l / (t_m * k);
double tmp;
if (k <= 1.42e-39) {
tmp = (t_2 * t_2) / t_m;
} else {
tmp = 2.0 / (((k * k) * ((t_m * (k * k)) + (2.0 * (t_m * (t_m * t_m))))) / (l * l));
}
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 = l / (t_m * k) tmp = 0 if k <= 1.42e-39: tmp = (t_2 * t_2) / t_m else: tmp = 2.0 / (((k * k) * ((t_m * (k * k)) + (2.0 * (t_m * (t_m * t_m))))) / (l * l)) 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(l / Float64(t_m * k)) tmp = 0.0 if (k <= 1.42e-39) tmp = Float64(Float64(t_2 * t_2) / t_m); else tmp = Float64(2.0 / Float64(Float64(Float64(k * k) * Float64(Float64(t_m * Float64(k * k)) + Float64(2.0 * Float64(t_m * Float64(t_m * t_m))))) / Float64(l * l))); 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 = l / (t_m * k); tmp = 0.0; if (k <= 1.42e-39) tmp = (t_2 * t_2) / t_m; else tmp = 2.0 / (((k * k) * ((t_m * (k * k)) + (2.0 * (t_m * (t_m * t_m))))) / (l * l)); 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[(l / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 1.42e-39], N[(N[(t$95$2 * t$95$2), $MachinePrecision] / t$95$m), $MachinePrecision], N[(2.0 / N[(N[(N[(k * k), $MachinePrecision] * N[(N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision] + N[(2.0 * N[(t$95$m * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * l), $MachinePrecision]), $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{\ell}{t\_m \cdot k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 1.42 \cdot 10^{-39}:\\
\;\;\;\;\frac{t\_2 \cdot t\_2}{t\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(k \cdot k\right) \cdot \left(t\_m \cdot \left(k \cdot k\right) + 2 \cdot \left(t\_m \cdot \left(t\_m \cdot t\_m\right)\right)\right)}{\ell \cdot \ell}}\\
\end{array}
\end{array}
\end{array}
if k < 1.42000000000000005e-39Initial program 58.7%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6457.1%
Simplified57.1%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6468.5%
Applied egg-rr68.5%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6470.7%
Applied egg-rr70.7%
associate-/l/N/A
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f6476.4%
Applied egg-rr76.4%
if 1.42000000000000005e-39 < k Initial program 36.8%
/-lowering-/.f64N/A
associate-*l*N/A
associate-*l/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Simplified38.2%
Taylor expanded in k around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified45.4%
Taylor expanded in t around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6445.4%
Simplified45.4%
Final simplification67.4%
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 (/ l (* t_m k))))
(*
t_s
(if (<= k 9e-34)
(/ (* t_2 t_2) t_m)
(/ 2.0 (/ (* (* k k) (* t_m (* k k))) (* l l)))))))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 = l / (t_m * k);
double tmp;
if (k <= 9e-34) {
tmp = (t_2 * t_2) / t_m;
} else {
tmp = 2.0 / (((k * k) * (t_m * (k * k))) / (l * l));
}
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 = l / (t_m * k)
if (k <= 9d-34) then
tmp = (t_2 * t_2) / t_m
else
tmp = 2.0d0 / (((k * k) * (t_m * (k * k))) / (l * l))
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 = l / (t_m * k);
double tmp;
if (k <= 9e-34) {
tmp = (t_2 * t_2) / t_m;
} else {
tmp = 2.0 / (((k * k) * (t_m * (k * k))) / (l * l));
}
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 = l / (t_m * k) tmp = 0 if k <= 9e-34: tmp = (t_2 * t_2) / t_m else: tmp = 2.0 / (((k * k) * (t_m * (k * k))) / (l * l)) 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(l / Float64(t_m * k)) tmp = 0.0 if (k <= 9e-34) tmp = Float64(Float64(t_2 * t_2) / t_m); else tmp = Float64(2.0 / Float64(Float64(Float64(k * k) * Float64(t_m * Float64(k * k))) / Float64(l * l))); 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 = l / (t_m * k); tmp = 0.0; if (k <= 9e-34) tmp = (t_2 * t_2) / t_m; else tmp = 2.0 / (((k * k) * (t_m * (k * k))) / (l * l)); 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[(l / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 9e-34], N[(N[(t$95$2 * t$95$2), $MachinePrecision] / t$95$m), $MachinePrecision], N[(2.0 / N[(N[(N[(k * k), $MachinePrecision] * N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * l), $MachinePrecision]), $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{\ell}{t\_m \cdot k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 9 \cdot 10^{-34}:\\
\;\;\;\;\frac{t\_2 \cdot t\_2}{t\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(k \cdot k\right) \cdot \left(t\_m \cdot \left(k \cdot k\right)\right)}{\ell \cdot \ell}}\\
\end{array}
\end{array}
\end{array}
if k < 9.00000000000000085e-34Initial program 58.9%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6457.3%
Simplified57.3%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6468.6%
Applied egg-rr68.6%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6470.9%
Applied egg-rr70.9%
associate-/l/N/A
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f6476.5%
Applied egg-rr76.5%
if 9.00000000000000085e-34 < k Initial program 35.9%
/-lowering-/.f64N/A
associate-*l*N/A
associate-*l/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Simplified37.4%
Taylor expanded in k around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified44.6%
Taylor expanded in t around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6444.6%
Simplified44.6%
Final simplification67.4%
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 (<= t_m 5e-32)
(/ (/ (/ (/ l k) (/ (* t_m k) l)) t_m) t_m)
(* (/ 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 (t_m <= 5e-32) {
tmp = (((l / k) / ((t_m * k) / l)) / t_m) / t_m;
} 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 (t_m <= 5d-32) then
tmp = (((l / k) / ((t_m * k) / l)) / t_m) / t_m
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 (t_m <= 5e-32) {
tmp = (((l / k) / ((t_m * k) / l)) / t_m) / t_m;
} 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 t_m <= 5e-32: tmp = (((l / k) / ((t_m * k) / l)) / t_m) / t_m 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 (t_m <= 5e-32) tmp = Float64(Float64(Float64(Float64(l / k) / Float64(Float64(t_m * k) / l)) / t_m) / t_m); else tmp = Float64(Float64(l / t_m) * Float64(Float64(l / Float64(t_m * Float64(t_m * 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 (t_m <= 5e-32) tmp = (((l / k) / ((t_m * k) / l)) / t_m) / t_m; 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[t$95$m, 5e-32], N[(N[(N[(N[(l / k), $MachinePrecision] / N[(N[(t$95$m * k), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision] / t$95$m), $MachinePrecision], 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]]), $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 5 \cdot 10^{-32}:\\
\;\;\;\;\frac{\frac{\frac{\frac{\ell}{k}}{\frac{t\_m \cdot k}{\ell}}}{t\_m}}{t\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\frac{\ell}{t\_m \cdot \left(t\_m \cdot k\right)}}{k}\\
\end{array}
\end{array}
if t < 5e-32Initial program 47.5%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6446.4%
Simplified46.4%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6455.3%
Applied egg-rr55.3%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6456.5%
Applied egg-rr56.5%
associate-*r/N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
clear-numN/A
associate-*l/N/A
clear-numN/A
div-invN/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6463.6%
Applied egg-rr63.6%
if 5e-32 < t Initial program 66.8%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6460.9%
Simplified60.9%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6465.5%
Applied egg-rr65.5%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6468.5%
Applied egg-rr68.5%
associate-*l/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6472.4%
Applied egg-rr72.4%
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 5.4e+87)
(* (/ l t_m) (/ (/ l (* t_m (* t_m k))) k))
(/ (* l l) (* t_m (* 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 (k <= 5.4e+87) {
tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k);
} else {
tmp = (l * l) / (t_m * (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 (k <= 5.4d+87) then
tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k)
else
tmp = (l * l) / (t_m * (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 (k <= 5.4e+87) {
tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k);
} else {
tmp = (l * l) / (t_m * (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 k <= 5.4e+87: tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k) else: tmp = (l * l) / (t_m * (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 (k <= 5.4e+87) tmp = Float64(Float64(l / t_m) * Float64(Float64(l / Float64(t_m * Float64(t_m * k))) / k)); else tmp = Float64(Float64(l * l) / Float64(t_m * 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 (k <= 5.4e+87) tmp = (l / t_m) * ((l / (t_m * (t_m * k))) / k); else tmp = (l * l) / (t_m * (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[k, 5.4e+87], 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[(l * l), $MachinePrecision] / N[(t$95$m * 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}\;k \leq 5.4 \cdot 10^{+87}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\frac{\ell}{t\_m \cdot \left(t\_m \cdot k\right)}}{k}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot \ell}{t\_m \cdot \left(t\_m \cdot \left(t\_m \cdot \left(k \cdot k\right)\right)\right)}\\
\end{array}
\end{array}
if k < 5.40000000000000013e87Initial program 56.1%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6454.5%
Simplified54.5%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6463.9%
Applied egg-rr63.9%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6465.8%
Applied egg-rr65.8%
associate-*l/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6469.3%
Applied egg-rr69.3%
if 5.40000000000000013e87 < k Initial program 34.1%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6428.3%
Simplified28.3%
cube-unmultN/A
pow-lowering-pow.f6428.3%
Applied egg-rr28.3%
cube-unmultN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6444.3%
Applied egg-rr44.3%
Final simplification65.0%
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 (/ l (* t_m k)))) (* t_s (/ (* t_2 t_2) t_m))))
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 = l / (t_m * k);
return t_s * ((t_2 * t_2) / 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
real(8) :: t_2
t_2 = l / (t_m * k)
code = t_s * ((t_2 * t_2) / 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) {
double t_2 = l / (t_m * k);
return t_s * ((t_2 * t_2) / t_m);
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): t_2 = l / (t_m * k) return t_s * ((t_2 * t_2) / t_m)
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(l / Float64(t_m * k)) return Float64(t_s * Float64(Float64(t_2 * t_2) / t_m)) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) t_2 = l / (t_m * k); tmp = t_s * ((t_2 * t_2) / 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_] := Block[{t$95$2 = N[(l / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * N[(N[(t$95$2 * t$95$2), $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{\ell}{t\_m \cdot k}\\
t\_s \cdot \frac{t\_2 \cdot t\_2}{t\_m}
\end{array}
\end{array}
Initial program 52.3%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6450.0%
Simplified50.0%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6457.9%
Applied egg-rr57.9%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6459.5%
Applied egg-rr59.5%
associate-/l/N/A
associate-/r*N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
*-lowering-*.f6465.5%
Applied egg-rr65.5%
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 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) {
return t_s * ((l / t_m) * ((l / (t_m * (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 / t_m) * ((l / (t_m * (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 / t_m) * ((l / (t_m * (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 / t_m) * ((l / (t_m * (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 / t_m) * Float64(Float64(l / Float64(t_m * Float64(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 / t_m) * ((l / (t_m * (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 / t$95$m), $MachinePrecision] * N[(N[(l / N[(t$95$m * N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 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}{t\_m} \cdot \frac{\frac{\ell}{t\_m \cdot \left(t\_m \cdot k\right)}}{k}\right)
\end{array}
Initial program 52.3%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6450.0%
Simplified50.0%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6457.9%
Applied egg-rr57.9%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6459.5%
Applied egg-rr59.5%
associate-*l/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6463.3%
Applied egg-rr63.3%
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 (* (/ l k) (/ (/ l (* t_m (* t_m 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 * ((l / k) * ((l / (t_m * (t_m * 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 * ((l / k) * ((l / (t_m * (t_m * 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 * ((l / k) * ((l / (t_m * (t_m * 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 * ((l / k) * ((l / (t_m * (t_m * 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(Float64(l / k) * Float64(Float64(l / Float64(t_m * Float64(t_m * 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 * ((l / k) * ((l / (t_m * (t_m * 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[(N[(l / k), $MachinePrecision] * N[(N[(l / N[(t$95$m * N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$m), $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}{k} \cdot \frac{\frac{\ell}{t\_m \cdot \left(t\_m \cdot k\right)}}{t\_m}\right)
\end{array}
Initial program 52.3%
Taylor expanded in k around 0
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6450.0%
Simplified50.0%
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6457.9%
Applied egg-rr57.9%
associate-*l/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6459.5%
Applied egg-rr59.5%
associate-*l/N/A
*-commutativeN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-/l/N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6462.2%
Applied egg-rr62.2%
herbie shell --seed 2024141
(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))))