
(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 17 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}
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (if (<= k_m 2.15e-8) (* (/ 1.0 (* (* (* k_m t) (/ (sin k_m) l)) (* k_m 0.5))) (/ l k_m)) (/ (/ (* l 2.0) k_m) (* (/ (* k_m t) l) (* (tan k_m) (sin k_m))))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 2.15e-8) {
tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = ((l * 2.0) / k_m) / (((k_m * t) / l) * (tan(k_m) * sin(k_m)));
}
return tmp;
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 2.15d-8) then
tmp = (1.0d0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5d0))) * (l / k_m)
else
tmp = ((l * 2.0d0) / k_m) / (((k_m * t) / l) * (tan(k_m) * sin(k_m)))
end if
code = tmp
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 2.15e-8) {
tmp = (1.0 / (((k_m * t) * (Math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = ((l * 2.0) / k_m) / (((k_m * t) / l) * (Math.tan(k_m) * Math.sin(k_m)));
}
return tmp;
}
k_m = math.fabs(k) def code(t, l, k_m): tmp = 0 if k_m <= 2.15e-8: tmp = (1.0 / (((k_m * t) * (math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m) else: tmp = ((l * 2.0) / k_m) / (((k_m * t) / l) * (math.tan(k_m) * math.sin(k_m))) return tmp
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (k_m <= 2.15e-8) tmp = Float64(Float64(1.0 / Float64(Float64(Float64(k_m * t) * Float64(sin(k_m) / l)) * Float64(k_m * 0.5))) * Float64(l / k_m)); else tmp = Float64(Float64(Float64(l * 2.0) / k_m) / Float64(Float64(Float64(k_m * t) / l) * Float64(tan(k_m) * sin(k_m)))); end return tmp end
k_m = abs(k); function tmp_2 = code(t, l, k_m) tmp = 0.0; if (k_m <= 2.15e-8) tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m); else tmp = ((l * 2.0) / k_m) / (((k_m * t) / l) * (tan(k_m) * sin(k_m))); end tmp_2 = tmp; end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[k$95$m, 2.15e-8], N[(N[(1.0 / N[(N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(k$95$m * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * 2.0), $MachinePrecision] / k$95$m), $MachinePrecision] / N[(N[(N[(k$95$m * t), $MachinePrecision] / l), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;k\_m \leq 2.15 \cdot 10^{-8}:\\
\;\;\;\;\frac{1}{\left(\left(k\_m \cdot t\right) \cdot \frac{\sin k\_m}{\ell}\right) \cdot \left(k\_m \cdot 0.5\right)} \cdot \frac{\ell}{k\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\ell \cdot 2}{k\_m}}{\frac{k\_m \cdot t}{\ell} \cdot \left(\tan k\_m \cdot \sin k\_m\right)}\\
\end{array}
\end{array}
if k < 2.1500000000000001e-8Initial program 36.2%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6475.0
Applied rewrites75.0%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.1%
associate-/r/N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
times-fracN/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites97.7%
Taylor expanded in k around 0
lower-/.f6485.8
Applied rewrites85.8%
if 2.1500000000000001e-8 < k Initial program 30.2%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6476.3
Applied rewrites76.3%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.6%
associate-/r/N/A
associate-*l/N/A
lift-*.f64N/A
lower-/.f6495.6
Applied rewrites95.6%
Final simplification88.5%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* (/ l (tan k_m)) (/ 1.0 (* (* (* k_m t) (/ (sin k_m) l)) (* k_m 0.5)))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (l / tan(k_m)) * (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5)));
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = (l / tan(k_m)) * (1.0d0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5d0)))
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return (l / Math.tan(k_m)) * (1.0 / (((k_m * t) * (Math.sin(k_m) / l)) * (k_m * 0.5)));
}
k_m = math.fabs(k) def code(t, l, k_m): return (l / math.tan(k_m)) * (1.0 / (((k_m * t) * (math.sin(k_m) / l)) * (k_m * 0.5)))
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(l / tan(k_m)) * Float64(1.0 / Float64(Float64(Float64(k_m * t) * Float64(sin(k_m) / l)) * Float64(k_m * 0.5)))) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = (l / tan(k_m)) * (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(l / N[Tan[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(k$95$m * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\frac{\ell}{\tan k\_m} \cdot \frac{1}{\left(\left(k\_m \cdot t\right) \cdot \frac{\sin k\_m}{\ell}\right) \cdot \left(k\_m \cdot 0.5\right)}
\end{array}
Initial program 34.5%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6475.4
Applied rewrites75.4%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.2%
associate-/r/N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
times-fracN/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites97.1%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (if (<= k_m 6e-37) (* (/ 1.0 (* (* (* k_m t) (/ (sin k_m) l)) (* k_m 0.5))) (/ l k_m)) (* (/ (* l 2.0) k_m) (/ l (* (* k_m t) (* (tan k_m) (sin k_m)))))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 6e-37) {
tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = ((l * 2.0) / k_m) * (l / ((k_m * t) * (tan(k_m) * sin(k_m))));
}
return tmp;
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 6d-37) then
tmp = (1.0d0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5d0))) * (l / k_m)
else
tmp = ((l * 2.0d0) / k_m) * (l / ((k_m * t) * (tan(k_m) * sin(k_m))))
end if
code = tmp
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 6e-37) {
tmp = (1.0 / (((k_m * t) * (Math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = ((l * 2.0) / k_m) * (l / ((k_m * t) * (Math.tan(k_m) * Math.sin(k_m))));
}
return tmp;
}
k_m = math.fabs(k) def code(t, l, k_m): tmp = 0 if k_m <= 6e-37: tmp = (1.0 / (((k_m * t) * (math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m) else: tmp = ((l * 2.0) / k_m) * (l / ((k_m * t) * (math.tan(k_m) * math.sin(k_m)))) return tmp
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (k_m <= 6e-37) tmp = Float64(Float64(1.0 / Float64(Float64(Float64(k_m * t) * Float64(sin(k_m) / l)) * Float64(k_m * 0.5))) * Float64(l / k_m)); else tmp = Float64(Float64(Float64(l * 2.0) / k_m) * Float64(l / Float64(Float64(k_m * t) * Float64(tan(k_m) * sin(k_m))))); end return tmp end
k_m = abs(k); function tmp_2 = code(t, l, k_m) tmp = 0.0; if (k_m <= 6e-37) tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m); else tmp = ((l * 2.0) / k_m) * (l / ((k_m * t) * (tan(k_m) * sin(k_m)))); end tmp_2 = tmp; end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[k$95$m, 6e-37], N[(N[(1.0 / N[(N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(k$95$m * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * 2.0), $MachinePrecision] / k$95$m), $MachinePrecision] * N[(l / N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;k\_m \leq 6 \cdot 10^{-37}:\\
\;\;\;\;\frac{1}{\left(\left(k\_m \cdot t\right) \cdot \frac{\sin k\_m}{\ell}\right) \cdot \left(k\_m \cdot 0.5\right)} \cdot \frac{\ell}{k\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot 2}{k\_m} \cdot \frac{\ell}{\left(k\_m \cdot t\right) \cdot \left(\tan k\_m \cdot \sin k\_m\right)}\\
\end{array}
\end{array}
if k < 6e-37Initial program 37.2%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6474.9
Applied rewrites74.9%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.0%
associate-/r/N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
times-fracN/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites97.7%
Taylor expanded in k around 0
lower-/.f6485.5
Applied rewrites85.5%
if 6e-37 < k Initial program 28.2%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6476.6
Applied rewrites76.6%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.9%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
div-invN/A
lower-*.f64N/A
lift-/.f64N/A
lift-/.f64N/A
associate-/r/N/A
associate-*l/N/A
lift-*.f64N/A
lower-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
Applied rewrites95.8%
Final simplification88.5%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(if (<= k_m 0.00031)
(*
(/ 1.0 (* (* (* k_m t) (/ (sin k_m) l)) (* k_m 0.5)))
(/ (fma l (* (* k_m k_m) -0.3333333333333333) l) k_m))
(* (/ 2.0 k_m) (* l (/ l (* (* k_m t) (* (tan k_m) (sin k_m))))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 0.00031) {
tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (fma(l, ((k_m * k_m) * -0.3333333333333333), l) / k_m);
} else {
tmp = (2.0 / k_m) * (l * (l / ((k_m * t) * (tan(k_m) * sin(k_m)))));
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (k_m <= 0.00031) tmp = Float64(Float64(1.0 / Float64(Float64(Float64(k_m * t) * Float64(sin(k_m) / l)) * Float64(k_m * 0.5))) * Float64(fma(l, Float64(Float64(k_m * k_m) * -0.3333333333333333), l) / k_m)); else tmp = Float64(Float64(2.0 / k_m) * Float64(l * Float64(l / Float64(Float64(k_m * t) * Float64(tan(k_m) * sin(k_m)))))); end return tmp end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[k$95$m, 0.00031], N[(N[(1.0 / N[(N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(k$95$m * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l * N[(N[(k$95$m * k$95$m), $MachinePrecision] * -0.3333333333333333), $MachinePrecision] + l), $MachinePrecision] / k$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / k$95$m), $MachinePrecision] * N[(l * N[(l / N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;k\_m \leq 0.00031:\\
\;\;\;\;\frac{1}{\left(\left(k\_m \cdot t\right) \cdot \frac{\sin k\_m}{\ell}\right) \cdot \left(k\_m \cdot 0.5\right)} \cdot \frac{\mathsf{fma}\left(\ell, \left(k\_m \cdot k\_m\right) \cdot -0.3333333333333333, \ell\right)}{k\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{k\_m} \cdot \left(\ell \cdot \frac{\ell}{\left(k\_m \cdot t\right) \cdot \left(\tan k\_m \cdot \sin k\_m\right)}\right)\\
\end{array}
\end{array}
if k < 3.1e-4Initial program 36.3%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6474.8
Applied rewrites74.8%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.1%
associate-/r/N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
times-fracN/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites97.8%
Taylor expanded in k around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6474.0
Applied rewrites74.0%
if 3.1e-4 < k Initial program 29.7%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6477.0
Applied rewrites77.0%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.5%
associate-/r/N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f64N/A
div-invN/A
lower-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites88.4%
Final simplification77.9%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (if (<= k_m 8.6e-37) (* (/ 1.0 (* (* (* k_m t) (/ (sin k_m) l)) (* k_m 0.5))) (/ l k_m)) (* l (* l (/ 2.0 (* k_m (* k_m (* (sin k_m) (* (tan k_m) t)))))))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 8.6e-37) {
tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = l * (l * (2.0 / (k_m * (k_m * (sin(k_m) * (tan(k_m) * t))))));
}
return tmp;
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 8.6d-37) then
tmp = (1.0d0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5d0))) * (l / k_m)
else
tmp = l * (l * (2.0d0 / (k_m * (k_m * (sin(k_m) * (tan(k_m) * t))))))
end if
code = tmp
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 8.6e-37) {
tmp = (1.0 / (((k_m * t) * (Math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = l * (l * (2.0 / (k_m * (k_m * (Math.sin(k_m) * (Math.tan(k_m) * t))))));
}
return tmp;
}
k_m = math.fabs(k) def code(t, l, k_m): tmp = 0 if k_m <= 8.6e-37: tmp = (1.0 / (((k_m * t) * (math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m) else: tmp = l * (l * (2.0 / (k_m * (k_m * (math.sin(k_m) * (math.tan(k_m) * t)))))) return tmp
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (k_m <= 8.6e-37) tmp = Float64(Float64(1.0 / Float64(Float64(Float64(k_m * t) * Float64(sin(k_m) / l)) * Float64(k_m * 0.5))) * Float64(l / k_m)); else tmp = Float64(l * Float64(l * Float64(2.0 / Float64(k_m * Float64(k_m * Float64(sin(k_m) * Float64(tan(k_m) * t))))))); end return tmp end
k_m = abs(k); function tmp_2 = code(t, l, k_m) tmp = 0.0; if (k_m <= 8.6e-37) tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m); else tmp = l * (l * (2.0 / (k_m * (k_m * (sin(k_m) * (tan(k_m) * t)))))); end tmp_2 = tmp; end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[k$95$m, 8.6e-37], N[(N[(1.0 / N[(N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(k$95$m * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision], N[(l * N[(l * N[(2.0 / N[(k$95$m * N[(k$95$m * N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;k\_m \leq 8.6 \cdot 10^{-37}:\\
\;\;\;\;\frac{1}{\left(\left(k\_m \cdot t\right) \cdot \frac{\sin k\_m}{\ell}\right) \cdot \left(k\_m \cdot 0.5\right)} \cdot \frac{\ell}{k\_m}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \left(\ell \cdot \frac{2}{k\_m \cdot \left(k\_m \cdot \left(\sin k\_m \cdot \left(\tan k\_m \cdot t\right)\right)\right)}\right)\\
\end{array}
\end{array}
if k < 8.59999999999999936e-37Initial program 37.2%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6474.9
Applied rewrites74.9%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.0%
associate-/r/N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
times-fracN/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites97.7%
Taylor expanded in k around 0
lower-/.f6485.5
Applied rewrites85.5%
if 8.59999999999999936e-37 < k Initial program 28.2%
Applied rewrites28.1%
Applied rewrites82.8%
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
lift-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6490.6
Applied rewrites90.6%
Final simplification87.0%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (if (<= k_m 8.6e-37) (* (/ 1.0 (* (* (* k_m t) (/ (sin k_m) l)) (* k_m 0.5))) (/ l k_m)) (* l (* l (/ 2.0 (* (tan k_m) (* (sin k_m) (* k_m (* k_m t)))))))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 8.6e-37) {
tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = l * (l * (2.0 / (tan(k_m) * (sin(k_m) * (k_m * (k_m * t))))));
}
return tmp;
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 8.6d-37) then
tmp = (1.0d0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5d0))) * (l / k_m)
else
tmp = l * (l * (2.0d0 / (tan(k_m) * (sin(k_m) * (k_m * (k_m * t))))))
end if
code = tmp
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 8.6e-37) {
tmp = (1.0 / (((k_m * t) * (Math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = l * (l * (2.0 / (Math.tan(k_m) * (Math.sin(k_m) * (k_m * (k_m * t))))));
}
return tmp;
}
k_m = math.fabs(k) def code(t, l, k_m): tmp = 0 if k_m <= 8.6e-37: tmp = (1.0 / (((k_m * t) * (math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m) else: tmp = l * (l * (2.0 / (math.tan(k_m) * (math.sin(k_m) * (k_m * (k_m * t)))))) return tmp
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (k_m <= 8.6e-37) tmp = Float64(Float64(1.0 / Float64(Float64(Float64(k_m * t) * Float64(sin(k_m) / l)) * Float64(k_m * 0.5))) * Float64(l / k_m)); else tmp = Float64(l * Float64(l * Float64(2.0 / Float64(tan(k_m) * Float64(sin(k_m) * Float64(k_m * Float64(k_m * t))))))); end return tmp end
k_m = abs(k); function tmp_2 = code(t, l, k_m) tmp = 0.0; if (k_m <= 8.6e-37) tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m); else tmp = l * (l * (2.0 / (tan(k_m) * (sin(k_m) * (k_m * (k_m * t)))))); end tmp_2 = tmp; end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[k$95$m, 8.6e-37], N[(N[(1.0 / N[(N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(k$95$m * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision], N[(l * N[(l * N[(2.0 / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[(k$95$m * N[(k$95$m * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;k\_m \leq 8.6 \cdot 10^{-37}:\\
\;\;\;\;\frac{1}{\left(\left(k\_m \cdot t\right) \cdot \frac{\sin k\_m}{\ell}\right) \cdot \left(k\_m \cdot 0.5\right)} \cdot \frac{\ell}{k\_m}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \left(\ell \cdot \frac{2}{\tan k\_m \cdot \left(\sin k\_m \cdot \left(k\_m \cdot \left(k\_m \cdot t\right)\right)\right)}\right)\\
\end{array}
\end{array}
if k < 8.59999999999999936e-37Initial program 37.2%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6474.9
Applied rewrites74.9%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.0%
associate-/r/N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
times-fracN/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites97.7%
Taylor expanded in k around 0
lower-/.f6485.5
Applied rewrites85.5%
if 8.59999999999999936e-37 < k Initial program 28.2%
Applied rewrites28.1%
Applied rewrites82.8%
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f6482.8
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lower-*.f6490.6
Applied rewrites90.6%
Final simplification87.0%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (if (<= k_m 8.6e-37) (* (/ 1.0 (* (* (* k_m t) (/ (sin k_m) l)) (* k_m 0.5))) (/ l k_m)) (* l (* 2.0 (/ l (* (sin k_m) (* t (* k_m (* k_m (tan k_m))))))))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 8.6e-37) {
tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = l * (2.0 * (l / (sin(k_m) * (t * (k_m * (k_m * tan(k_m)))))));
}
return tmp;
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 8.6d-37) then
tmp = (1.0d0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5d0))) * (l / k_m)
else
tmp = l * (2.0d0 * (l / (sin(k_m) * (t * (k_m * (k_m * tan(k_m)))))))
end if
code = tmp
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 8.6e-37) {
tmp = (1.0 / (((k_m * t) * (Math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
} else {
tmp = l * (2.0 * (l / (Math.sin(k_m) * (t * (k_m * (k_m * Math.tan(k_m)))))));
}
return tmp;
}
k_m = math.fabs(k) def code(t, l, k_m): tmp = 0 if k_m <= 8.6e-37: tmp = (1.0 / (((k_m * t) * (math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m) else: tmp = l * (2.0 * (l / (math.sin(k_m) * (t * (k_m * (k_m * math.tan(k_m))))))) return tmp
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (k_m <= 8.6e-37) tmp = Float64(Float64(1.0 / Float64(Float64(Float64(k_m * t) * Float64(sin(k_m) / l)) * Float64(k_m * 0.5))) * Float64(l / k_m)); else tmp = Float64(l * Float64(2.0 * Float64(l / Float64(sin(k_m) * Float64(t * Float64(k_m * Float64(k_m * tan(k_m)))))))); end return tmp end
k_m = abs(k); function tmp_2 = code(t, l, k_m) tmp = 0.0; if (k_m <= 8.6e-37) tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m); else tmp = l * (2.0 * (l / (sin(k_m) * (t * (k_m * (k_m * tan(k_m))))))); end tmp_2 = tmp; end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[k$95$m, 8.6e-37], N[(N[(1.0 / N[(N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(k$95$m * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision], N[(l * N[(2.0 * N[(l / N[(N[Sin[k$95$m], $MachinePrecision] * N[(t * N[(k$95$m * N[(k$95$m * N[Tan[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;k\_m \leq 8.6 \cdot 10^{-37}:\\
\;\;\;\;\frac{1}{\left(\left(k\_m \cdot t\right) \cdot \frac{\sin k\_m}{\ell}\right) \cdot \left(k\_m \cdot 0.5\right)} \cdot \frac{\ell}{k\_m}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \frac{\ell}{\sin k\_m \cdot \left(t \cdot \left(k\_m \cdot \left(k\_m \cdot \tan k\_m\right)\right)\right)}\right)\\
\end{array}
\end{array}
if k < 8.59999999999999936e-37Initial program 37.2%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6474.9
Applied rewrites74.9%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.0%
associate-/r/N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
times-fracN/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites97.7%
Taylor expanded in k around 0
lower-/.f6485.5
Applied rewrites85.5%
if 8.59999999999999936e-37 < k Initial program 28.2%
Applied rewrites28.1%
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
associate-*r*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites71.7%
lift-*.f64N/A
lift-*.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites82.9%
Final simplification84.7%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* (/ 1.0 (* (* (* k_m t) (/ (sin k_m) l)) (* k_m 0.5))) (/ l k_m)))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = (1.0d0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5d0))) * (l / k_m)
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return (1.0 / (((k_m * t) * (Math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m);
}
k_m = math.fabs(k) def code(t, l, k_m): return (1.0 / (((k_m * t) * (math.sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m)
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(1.0 / Float64(Float64(Float64(k_m * t) * Float64(sin(k_m) / l)) * Float64(k_m * 0.5))) * Float64(l / k_m)) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = (1.0 / (((k_m * t) * (sin(k_m) / l)) * (k_m * 0.5))) * (l / k_m); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(1.0 / N[(N[(N[(k$95$m * t), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(k$95$m * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\frac{1}{\left(\left(k\_m \cdot t\right) \cdot \frac{\sin k\_m}{\ell}\right) \cdot \left(k\_m \cdot 0.5\right)} \cdot \frac{\ell}{k\_m}
\end{array}
Initial program 34.5%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6475.4
Applied rewrites75.4%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.2%
associate-/r/N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
times-fracN/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites97.1%
Taylor expanded in k around 0
lower-/.f6477.1
Applied rewrites77.1%
Final simplification77.1%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (/ (/ 2.0 (/ k_m l)) (* (* (* k_m t) (/ k_m l)) (fma 0.16666666666666666 (* k_m (* k_m k_m)) k_m))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (2.0 / (k_m / l)) / (((k_m * t) * (k_m / l)) * fma(0.16666666666666666, (k_m * (k_m * k_m)), k_m));
}
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(2.0 / Float64(k_m / l)) / Float64(Float64(Float64(k_m * t) * Float64(k_m / l)) * fma(0.16666666666666666, Float64(k_m * Float64(k_m * k_m)), k_m))) end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(2.0 / N[(k$95$m / l), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(k$95$m * t), $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision] * N[(0.16666666666666666 * N[(k$95$m * N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision] + k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\frac{\frac{2}{\frac{k\_m}{\ell}}}{\left(\left(k\_m \cdot t\right) \cdot \frac{k\_m}{\ell}\right) \cdot \mathsf{fma}\left(0.16666666666666666, k\_m \cdot \left(k\_m \cdot k\_m\right), k\_m\right)}
\end{array}
Initial program 34.5%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6475.4
Applied rewrites75.4%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.2%
Taylor expanded in k around 0
distribute-rgt-inN/A
*-commutativeN/A
associate-*l*N/A
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
associate-/l*N/A
distribute-lft-outN/A
lower-*.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fma.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6473.8
Applied rewrites73.8%
associate-*r*N/A
*-commutativeN/A
lift-*.f64N/A
associate-/l*N/A
lift-/.f64N/A
lower-*.f6476.0
Applied rewrites76.0%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (/ (/ l (* k_m (* k_m t))) (* (/ k_m (* l 2.0)) (fma k_m (* (* k_m k_m) 0.16666666666666666) k_m))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (l / (k_m * (k_m * t))) / ((k_m / (l * 2.0)) * fma(k_m, ((k_m * k_m) * 0.16666666666666666), k_m));
}
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(l / Float64(k_m * Float64(k_m * t))) / Float64(Float64(k_m / Float64(l * 2.0)) * fma(k_m, Float64(Float64(k_m * k_m) * 0.16666666666666666), k_m))) end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(l / N[(k$95$m * N[(k$95$m * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(k$95$m / N[(l * 2.0), $MachinePrecision]), $MachinePrecision] * N[(k$95$m * N[(N[(k$95$m * k$95$m), $MachinePrecision] * 0.16666666666666666), $MachinePrecision] + k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\frac{\frac{\ell}{k\_m \cdot \left(k\_m \cdot t\right)}}{\frac{k\_m}{\ell \cdot 2} \cdot \mathsf{fma}\left(k\_m, \left(k\_m \cdot k\_m\right) \cdot 0.16666666666666666, k\_m\right)}
\end{array}
Initial program 34.5%
Taylor expanded in t around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f6475.4
Applied rewrites75.4%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
associate-/r/N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
associate-/r*N/A
Applied rewrites95.2%
Taylor expanded in k around 0
distribute-rgt-inN/A
*-commutativeN/A
associate-*l*N/A
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
associate-/l*N/A
distribute-lft-outN/A
lower-*.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fma.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6473.8
Applied rewrites73.8%
Applied rewrites75.4%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* (/ l (* k_m (* k_m t))) (/ (* l 2.0) (* k_m k_m))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (l / (k_m * (k_m * t))) * ((l * 2.0) / (k_m * k_m));
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = (l / (k_m * (k_m * t))) * ((l * 2.0d0) / (k_m * k_m))
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return (l / (k_m * (k_m * t))) * ((l * 2.0) / (k_m * k_m));
}
k_m = math.fabs(k) def code(t, l, k_m): return (l / (k_m * (k_m * t))) * ((l * 2.0) / (k_m * k_m))
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(l / Float64(k_m * Float64(k_m * t))) * Float64(Float64(l * 2.0) / Float64(k_m * k_m))) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = (l / (k_m * (k_m * t))) * ((l * 2.0) / (k_m * k_m)); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(l / N[(k$95$m * N[(k$95$m * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l * 2.0), $MachinePrecision] / N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\frac{\ell}{k\_m \cdot \left(k\_m \cdot t\right)} \cdot \frac{\ell \cdot 2}{k\_m \cdot k\_m}
\end{array}
Initial program 34.5%
Taylor expanded in k around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
metadata-evalN/A
pow-sqrN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6460.3
Applied rewrites60.3%
associate-*r*N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-/.f6468.0
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6469.0
Applied rewrites69.0%
Taylor expanded in k around 0
cube-multN/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6469.4
Applied rewrites69.4%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r/N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6473.9
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
Applied rewrites73.9%
Final simplification73.9%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* (/ (* l 2.0) (* t (* k_m k_m))) (/ l (* k_m k_m))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return ((l * 2.0) / (t * (k_m * k_m))) * (l / (k_m * k_m));
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = ((l * 2.0d0) / (t * (k_m * k_m))) * (l / (k_m * k_m))
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return ((l * 2.0) / (t * (k_m * k_m))) * (l / (k_m * k_m));
}
k_m = math.fabs(k) def code(t, l, k_m): return ((l * 2.0) / (t * (k_m * k_m))) * (l / (k_m * k_m))
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(Float64(l * 2.0) / Float64(t * Float64(k_m * k_m))) * Float64(l / Float64(k_m * k_m))) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = ((l * 2.0) / (t * (k_m * k_m))) * (l / (k_m * k_m)); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(N[(l * 2.0), $MachinePrecision] / N[(t * N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\frac{\ell \cdot 2}{t \cdot \left(k\_m \cdot k\_m\right)} \cdot \frac{\ell}{k\_m \cdot k\_m}
\end{array}
Initial program 34.5%
Taylor expanded in k around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
metadata-evalN/A
pow-sqrN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6460.3
Applied rewrites60.3%
associate-*r*N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-/.f6473.9
Applied rewrites73.9%
Final simplification73.9%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* (* l 2.0) (/ (/ l (* k_m (* k_m t))) (* k_m k_m))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (l * 2.0) * ((l / (k_m * (k_m * t))) / (k_m * k_m));
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = (l * 2.0d0) * ((l / (k_m * (k_m * t))) / (k_m * k_m))
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return (l * 2.0) * ((l / (k_m * (k_m * t))) / (k_m * k_m));
}
k_m = math.fabs(k) def code(t, l, k_m): return (l * 2.0) * ((l / (k_m * (k_m * t))) / (k_m * k_m))
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(l * 2.0) * Float64(Float64(l / Float64(k_m * Float64(k_m * t))) / Float64(k_m * k_m))) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = (l * 2.0) * ((l / (k_m * (k_m * t))) / (k_m * k_m)); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(l * 2.0), $MachinePrecision] * N[(N[(l / N[(k$95$m * N[(k$95$m * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\left(\ell \cdot 2\right) \cdot \frac{\frac{\ell}{k\_m \cdot \left(k\_m \cdot t\right)}}{k\_m \cdot k\_m}
\end{array}
Initial program 34.5%
Taylor expanded in k around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
metadata-evalN/A
pow-sqrN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6460.3
Applied rewrites60.3%
associate-*r*N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-/.f6468.0
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6469.0
Applied rewrites69.0%
Taylor expanded in k around 0
cube-multN/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6469.4
Applied rewrites69.4%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
lift-*.f64N/A
associate-/r*N/A
associate-/l/N/A
lift-*.f64N/A
*-commutativeN/A
associate-*r*N/A
lift-*.f64N/A
lift-*.f64N/A
lower-/.f64N/A
Applied rewrites72.0%
Final simplification72.0%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* (* l 2.0) (/ (/ l (* k_m t)) (* k_m (* k_m k_m)))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (l * 2.0) * ((l / (k_m * t)) / (k_m * (k_m * k_m)));
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = (l * 2.0d0) * ((l / (k_m * t)) / (k_m * (k_m * k_m)))
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return (l * 2.0) * ((l / (k_m * t)) / (k_m * (k_m * k_m)));
}
k_m = math.fabs(k) def code(t, l, k_m): return (l * 2.0) * ((l / (k_m * t)) / (k_m * (k_m * k_m)))
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(l * 2.0) * Float64(Float64(l / Float64(k_m * t)) / Float64(k_m * Float64(k_m * k_m)))) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = (l * 2.0) * ((l / (k_m * t)) / (k_m * (k_m * k_m))); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(l * 2.0), $MachinePrecision] * N[(N[(l / N[(k$95$m * t), $MachinePrecision]), $MachinePrecision] / N[(k$95$m * N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\left(\ell \cdot 2\right) \cdot \frac{\frac{\ell}{k\_m \cdot t}}{k\_m \cdot \left(k\_m \cdot k\_m\right)}
\end{array}
Initial program 34.5%
Taylor expanded in k around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
metadata-evalN/A
pow-sqrN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6460.3
Applied rewrites60.3%
associate-*r*N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-/.f6468.0
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6469.0
Applied rewrites69.0%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
clear-numN/A
lift-/.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-/r*N/A
lift-/.f64N/A
clear-numN/A
associate-/r*N/A
lift-*.f64N/A
lower-/.f64N/A
lower-/.f6470.1
Applied rewrites70.1%
Final simplification70.1%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* (* l 2.0) (/ (/ l k_m) (* t (* k_m (* k_m k_m))))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (l * 2.0) * ((l / k_m) / (t * (k_m * (k_m * k_m))));
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = (l * 2.0d0) * ((l / k_m) / (t * (k_m * (k_m * k_m))))
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return (l * 2.0) * ((l / k_m) / (t * (k_m * (k_m * k_m))));
}
k_m = math.fabs(k) def code(t, l, k_m): return (l * 2.0) * ((l / k_m) / (t * (k_m * (k_m * k_m))))
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(l * 2.0) * Float64(Float64(l / k_m) / Float64(t * Float64(k_m * Float64(k_m * k_m))))) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = (l * 2.0) * ((l / k_m) / (t * (k_m * (k_m * k_m)))); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(l * 2.0), $MachinePrecision] * N[(N[(l / k$95$m), $MachinePrecision] / N[(t * N[(k$95$m * N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\left(\ell \cdot 2\right) \cdot \frac{\frac{\ell}{k\_m}}{t \cdot \left(k\_m \cdot \left(k\_m \cdot k\_m\right)\right)}
\end{array}
Initial program 34.5%
Taylor expanded in k around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
metadata-evalN/A
pow-sqrN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6460.3
Applied rewrites60.3%
associate-*r*N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-/.f6468.0
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6469.0
Applied rewrites69.0%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
clear-numN/A
lift-/.f64N/A
lower-/.f64N/A
lift-/.f64N/A
clear-numN/A
lower-/.f6469.8
lift-*.f64N/A
*-commutativeN/A
lower-*.f6469.8
Applied rewrites69.8%
Final simplification69.8%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* l (* l (/ 2.0 (* (* k_m k_m) (* t (* k_m k_m)))))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return l * (l * (2.0 / ((k_m * k_m) * (t * (k_m * k_m)))));
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = l * (l * (2.0d0 / ((k_m * k_m) * (t * (k_m * k_m)))))
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return l * (l * (2.0 / ((k_m * k_m) * (t * (k_m * k_m)))));
}
k_m = math.fabs(k) def code(t, l, k_m): return l * (l * (2.0 / ((k_m * k_m) * (t * (k_m * k_m)))))
k_m = abs(k) function code(t, l, k_m) return Float64(l * Float64(l * Float64(2.0 / Float64(Float64(k_m * k_m) * Float64(t * Float64(k_m * k_m)))))) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = l * (l * (2.0 / ((k_m * k_m) * (t * (k_m * k_m))))); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(l * N[(l * N[(2.0 / N[(N[(k$95$m * k$95$m), $MachinePrecision] * N[(t * N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\ell \cdot \left(\ell \cdot \frac{2}{\left(k\_m \cdot k\_m\right) \cdot \left(t \cdot \left(k\_m \cdot k\_m\right)\right)}\right)
\end{array}
Initial program 34.5%
Applied rewrites26.7%
Applied rewrites85.2%
Taylor expanded in k around 0
unpow2N/A
lower-*.f6469.4
Applied rewrites69.4%
Final simplification69.4%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* (* l 2.0) (/ l (* k_m (* k_m (* t (* k_m k_m)))))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (l * 2.0) * (l / (k_m * (k_m * (t * (k_m * k_m)))));
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = (l * 2.0d0) * (l / (k_m * (k_m * (t * (k_m * k_m)))))
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return (l * 2.0) * (l / (k_m * (k_m * (t * (k_m * k_m)))));
}
k_m = math.fabs(k) def code(t, l, k_m): return (l * 2.0) * (l / (k_m * (k_m * (t * (k_m * k_m)))))
k_m = abs(k) function code(t, l, k_m) return Float64(Float64(l * 2.0) * Float64(l / Float64(k_m * Float64(k_m * Float64(t * Float64(k_m * k_m)))))) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = (l * 2.0) * (l / (k_m * (k_m * (t * (k_m * k_m))))); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(l * 2.0), $MachinePrecision] * N[(l / N[(k$95$m * N[(k$95$m * N[(t * N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\left(\ell \cdot 2\right) \cdot \frac{\ell}{k\_m \cdot \left(k\_m \cdot \left(t \cdot \left(k\_m \cdot k\_m\right)\right)\right)}
\end{array}
Initial program 34.5%
Taylor expanded in k around 0
associate-*r/N/A
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
metadata-evalN/A
pow-sqrN/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6460.3
Applied rewrites60.3%
associate-*r*N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-/.f6468.0
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6469.0
Applied rewrites69.0%
Taylor expanded in k around 0
cube-multN/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6469.4
Applied rewrites69.4%
Final simplification69.4%
herbie shell --seed 2024212
(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))))