Toniolo and Linder, Equation (10-)

Percentage Accurate: 34.4% → 95.7%
Time: 19.9s
Alternatives: 12
Speedup: 38.3×

Specification

?
\[\begin{array}{l} \\ \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \end{array} \]
(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:

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 12 alternatives:

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

Initial Program: 34.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \end{array} \]
(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}

Alternative 1: 95.7% accurate, 1.9× speedup?

\[\begin{array}{l} \\ \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \left(\frac{\ell}{\tan k} \cdot \frac{1}{k \cdot t}\right) \end{array} \]
(FPCore (t l k)
 :precision binary64
 (* (/ (/ (* 2.0 l) (sin k)) k) (* (/ l (tan k)) (/ 1.0 (* k t)))))
double code(double t, double l, double k) {
	return (((2.0 * l) / sin(k)) / k) * ((l / tan(k)) * (1.0 / (k * t)));
}
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 * l) / sin(k)) / k) * ((l / tan(k)) * (1.0d0 / (k * t)))
end function
public static double code(double t, double l, double k) {
	return (((2.0 * l) / Math.sin(k)) / k) * ((l / Math.tan(k)) * (1.0 / (k * t)));
}
def code(t, l, k):
	return (((2.0 * l) / math.sin(k)) / k) * ((l / math.tan(k)) * (1.0 / (k * t)))
function code(t, l, k)
	return Float64(Float64(Float64(Float64(2.0 * l) / sin(k)) / k) * Float64(Float64(l / tan(k)) * Float64(1.0 / Float64(k * t))))
end
function tmp = code(t, l, k)
	tmp = (((2.0 * l) / sin(k)) / k) * ((l / tan(k)) * (1.0 / (k * t)));
end
code[t_, l_, k_] := N[(N[(N[(N[(2.0 * l), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision] * N[(N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \left(\frac{\ell}{\tan k} \cdot \frac{1}{k \cdot t}\right)
\end{array}
Derivation
  1. Initial program 35.1%

    \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
  2. Step-by-step derivation
    1. associate-*l*35.1%

      \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. associate-*l*35.5%

      \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
    3. associate-/r*35.5%

      \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
    4. associate-/r/35.5%

      \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    5. *-commutative35.5%

      \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
    6. times-frac35.2%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
    7. +-commutative35.2%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    8. associate--l+46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    9. metadata-eval46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    10. +-rgt-identity46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    11. times-frac48.4%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  3. Simplified48.4%

    \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  4. Taylor expanded in t around 0 81.0%

    \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  5. Step-by-step derivation
    1. unpow281.0%

      \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    2. associate-*l*84.2%

      \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  6. Simplified84.2%

    \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  7. Step-by-step derivation
    1. associate-*l/84.3%

      \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
  8. Applied egg-rr84.3%

    \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
  9. Step-by-step derivation
    1. associate-*r*84.3%

      \[\leadsto \frac{\color{blue}{\left(2 \cdot \frac{\ell}{\sin k}\right) \cdot \frac{\ell}{\tan k}}}{k \cdot \left(k \cdot t\right)} \]
    2. times-frac98.3%

      \[\leadsto \color{blue}{\frac{2 \cdot \frac{\ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
    3. associate-*r/98.3%

      \[\leadsto \frac{\color{blue}{\frac{2 \cdot \ell}{\sin k}}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
  10. Simplified98.3%

    \[\leadsto \color{blue}{\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
  11. Step-by-step derivation
    1. div-inv98.3%

      \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \color{blue}{\left(\frac{\ell}{\tan k} \cdot \frac{1}{k \cdot t}\right)} \]
  12. Applied egg-rr98.3%

    \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \color{blue}{\left(\frac{\ell}{\tan k} \cdot \frac{1}{k \cdot t}\right)} \]
  13. Final simplification98.3%

    \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \left(\frac{\ell}{\tan k} \cdot \frac{1}{k \cdot t}\right) \]

Alternative 2: 94.1% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{\frac{\ell}{\tan k}}{k \cdot t} \cdot \left(2 \cdot \frac{\ell}{k \cdot \sin k}\right) \end{array} \]
(FPCore (t l k)
 :precision binary64
 (* (/ (/ l (tan k)) (* k t)) (* 2.0 (/ l (* k (sin k))))))
double code(double t, double l, double k) {
	return ((l / tan(k)) / (k * t)) * (2.0 * (l / (k * sin(k))));
}
real(8) function code(t, l, k)
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    code = ((l / tan(k)) / (k * t)) * (2.0d0 * (l / (k * sin(k))))
end function
public static double code(double t, double l, double k) {
	return ((l / Math.tan(k)) / (k * t)) * (2.0 * (l / (k * Math.sin(k))));
}
def code(t, l, k):
	return ((l / math.tan(k)) / (k * t)) * (2.0 * (l / (k * math.sin(k))))
function code(t, l, k)
	return Float64(Float64(Float64(l / tan(k)) / Float64(k * t)) * Float64(2.0 * Float64(l / Float64(k * sin(k)))))
end
function tmp = code(t, l, k)
	tmp = ((l / tan(k)) / (k * t)) * (2.0 * (l / (k * sin(k))));
end
code[t_, l_, k_] := N[(N[(N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision] / N[(k * t), $MachinePrecision]), $MachinePrecision] * N[(2.0 * N[(l / N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\frac{\ell}{\tan k}}{k \cdot t} \cdot \left(2 \cdot \frac{\ell}{k \cdot \sin k}\right)
\end{array}
Derivation
  1. Initial program 35.1%

    \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
  2. Step-by-step derivation
    1. associate-*l*35.1%

      \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. associate-*l*35.5%

      \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
    3. associate-/r*35.5%

      \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
    4. associate-/r/35.5%

      \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    5. *-commutative35.5%

      \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
    6. times-frac35.2%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
    7. +-commutative35.2%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    8. associate--l+46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    9. metadata-eval46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    10. +-rgt-identity46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    11. times-frac48.4%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  3. Simplified48.4%

    \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  4. Taylor expanded in t around 0 81.0%

    \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  5. Step-by-step derivation
    1. unpow281.0%

      \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    2. associate-*l*84.2%

      \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  6. Simplified84.2%

    \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  7. Step-by-step derivation
    1. associate-*l/84.3%

      \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
  8. Applied egg-rr84.3%

    \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
  9. Step-by-step derivation
    1. associate-*r*84.3%

      \[\leadsto \frac{\color{blue}{\left(2 \cdot \frac{\ell}{\sin k}\right) \cdot \frac{\ell}{\tan k}}}{k \cdot \left(k \cdot t\right)} \]
    2. times-frac98.3%

      \[\leadsto \color{blue}{\frac{2 \cdot \frac{\ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
    3. associate-*r/98.3%

      \[\leadsto \frac{\color{blue}{\frac{2 \cdot \ell}{\sin k}}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
  10. Simplified98.3%

    \[\leadsto \color{blue}{\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
  11. Taylor expanded in l around 0 97.8%

    \[\leadsto \color{blue}{\left(2 \cdot \frac{\ell}{k \cdot \sin k}\right)} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
  12. Final simplification97.8%

    \[\leadsto \frac{\frac{\ell}{\tan k}}{k \cdot t} \cdot \left(2 \cdot \frac{\ell}{k \cdot \sin k}\right) \]

Alternative 3: 95.7% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{\frac{\ell}{\tan k}}{k \cdot t} \cdot \left(2 \cdot \frac{\frac{\ell}{k}}{\sin k}\right) \end{array} \]
(FPCore (t l k)
 :precision binary64
 (* (/ (/ l (tan k)) (* k t)) (* 2.0 (/ (/ l k) (sin k)))))
double code(double t, double l, double k) {
	return ((l / tan(k)) / (k * t)) * (2.0 * ((l / k) / sin(k)));
}
real(8) function code(t, l, k)
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    code = ((l / tan(k)) / (k * t)) * (2.0d0 * ((l / k) / sin(k)))
end function
public static double code(double t, double l, double k) {
	return ((l / Math.tan(k)) / (k * t)) * (2.0 * ((l / k) / Math.sin(k)));
}
def code(t, l, k):
	return ((l / math.tan(k)) / (k * t)) * (2.0 * ((l / k) / math.sin(k)))
function code(t, l, k)
	return Float64(Float64(Float64(l / tan(k)) / Float64(k * t)) * Float64(2.0 * Float64(Float64(l / k) / sin(k))))
end
function tmp = code(t, l, k)
	tmp = ((l / tan(k)) / (k * t)) * (2.0 * ((l / k) / sin(k)));
end
code[t_, l_, k_] := N[(N[(N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision] / N[(k * t), $MachinePrecision]), $MachinePrecision] * N[(2.0 * N[(N[(l / k), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\frac{\ell}{\tan k}}{k \cdot t} \cdot \left(2 \cdot \frac{\frac{\ell}{k}}{\sin k}\right)
\end{array}
Derivation
  1. Initial program 35.1%

    \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
  2. Step-by-step derivation
    1. associate-*l*35.1%

      \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. associate-*l*35.5%

      \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
    3. associate-/r*35.5%

      \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
    4. associate-/r/35.5%

      \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    5. *-commutative35.5%

      \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
    6. times-frac35.2%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
    7. +-commutative35.2%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    8. associate--l+46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    9. metadata-eval46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    10. +-rgt-identity46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    11. times-frac48.4%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  3. Simplified48.4%

    \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  4. Taylor expanded in t around 0 81.0%

    \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  5. Step-by-step derivation
    1. unpow281.0%

      \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    2. associate-*l*84.2%

      \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  6. Simplified84.2%

    \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  7. Step-by-step derivation
    1. associate-*l/84.3%

      \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
  8. Applied egg-rr84.3%

    \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
  9. Step-by-step derivation
    1. associate-*r*84.3%

      \[\leadsto \frac{\color{blue}{\left(2 \cdot \frac{\ell}{\sin k}\right) \cdot \frac{\ell}{\tan k}}}{k \cdot \left(k \cdot t\right)} \]
    2. times-frac98.3%

      \[\leadsto \color{blue}{\frac{2 \cdot \frac{\ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
    3. associate-*r/98.3%

      \[\leadsto \frac{\color{blue}{\frac{2 \cdot \ell}{\sin k}}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
  10. Simplified98.3%

    \[\leadsto \color{blue}{\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
  11. Taylor expanded in l around 0 97.8%

    \[\leadsto \color{blue}{\left(2 \cdot \frac{\ell}{k \cdot \sin k}\right)} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
  12. Step-by-step derivation
    1. associate-/r*98.3%

      \[\leadsto \left(2 \cdot \color{blue}{\frac{\frac{\ell}{k}}{\sin k}}\right) \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
  13. Simplified98.3%

    \[\leadsto \color{blue}{\left(2 \cdot \frac{\frac{\ell}{k}}{\sin k}\right)} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
  14. Final simplification98.3%

    \[\leadsto \frac{\frac{\ell}{\tan k}}{k \cdot t} \cdot \left(2 \cdot \frac{\frac{\ell}{k}}{\sin k}\right) \]

Alternative 4: 95.7% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \end{array} \]
(FPCore (t l k)
 :precision binary64
 (* (/ (/ (* 2.0 l) (sin k)) k) (/ (/ l (tan k)) (* k t))))
double code(double t, double l, double k) {
	return (((2.0 * l) / sin(k)) / k) * ((l / tan(k)) / (k * t));
}
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 * l) / sin(k)) / k) * ((l / tan(k)) / (k * t))
end function
public static double code(double t, double l, double k) {
	return (((2.0 * l) / Math.sin(k)) / k) * ((l / Math.tan(k)) / (k * t));
}
def code(t, l, k):
	return (((2.0 * l) / math.sin(k)) / k) * ((l / math.tan(k)) / (k * t))
function code(t, l, k)
	return Float64(Float64(Float64(Float64(2.0 * l) / sin(k)) / k) * Float64(Float64(l / tan(k)) / Float64(k * t)))
end
function tmp = code(t, l, k)
	tmp = (((2.0 * l) / sin(k)) / k) * ((l / tan(k)) / (k * t));
end
code[t_, l_, k_] := N[(N[(N[(N[(2.0 * l), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision] * N[(N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision] / N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}
\end{array}
Derivation
  1. Initial program 35.1%

    \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
  2. Step-by-step derivation
    1. associate-*l*35.1%

      \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. associate-*l*35.5%

      \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
    3. associate-/r*35.5%

      \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
    4. associate-/r/35.5%

      \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    5. *-commutative35.5%

      \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
    6. times-frac35.2%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
    7. +-commutative35.2%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    8. associate--l+46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    9. metadata-eval46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    10. +-rgt-identity46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    11. times-frac48.4%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  3. Simplified48.4%

    \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  4. Taylor expanded in t around 0 81.0%

    \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  5. Step-by-step derivation
    1. unpow281.0%

      \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    2. associate-*l*84.2%

      \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  6. Simplified84.2%

    \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  7. Step-by-step derivation
    1. associate-*l/84.3%

      \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
  8. Applied egg-rr84.3%

    \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
  9. Step-by-step derivation
    1. associate-*r*84.3%

      \[\leadsto \frac{\color{blue}{\left(2 \cdot \frac{\ell}{\sin k}\right) \cdot \frac{\ell}{\tan k}}}{k \cdot \left(k \cdot t\right)} \]
    2. times-frac98.3%

      \[\leadsto \color{blue}{\frac{2 \cdot \frac{\ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
    3. associate-*r/98.3%

      \[\leadsto \frac{\color{blue}{\frac{2 \cdot \ell}{\sin k}}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
  10. Simplified98.3%

    \[\leadsto \color{blue}{\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
  11. Final simplification98.3%

    \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]

Alternative 5: 70.1% accurate, 3.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;k \leq 3.15:\\ \;\;\;\;\frac{\frac{\ell}{\tan k}}{k \cdot t} \cdot \frac{\left(\ell \cdot k\right) \cdot 0.3333333333333333 + 2 \cdot \frac{\ell}{k}}{k}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\ \end{array} \end{array} \]
(FPCore (t l k)
 :precision binary64
 (if (<= k 3.15)
   (*
    (/ (/ l (tan k)) (* k t))
    (/ (+ (* (* l k) 0.3333333333333333) (* 2.0 (/ l k))) k))
   (* (/ 2.0 (* k (* k t))) (/ (* l (/ l k)) k))))
double code(double t, double l, double k) {
	double tmp;
	if (k <= 3.15) {
		tmp = ((l / tan(k)) / (k * t)) * ((((l * k) * 0.3333333333333333) + (2.0 * (l / k))) / k);
	} else {
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k);
	}
	return tmp;
}
real(8) function code(t, l, k)
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8) :: tmp
    if (k <= 3.15d0) then
        tmp = ((l / tan(k)) / (k * t)) * ((((l * k) * 0.3333333333333333d0) + (2.0d0 * (l / k))) / k)
    else
        tmp = (2.0d0 / (k * (k * t))) * ((l * (l / k)) / k)
    end if
    code = tmp
end function
public static double code(double t, double l, double k) {
	double tmp;
	if (k <= 3.15) {
		tmp = ((l / Math.tan(k)) / (k * t)) * ((((l * k) * 0.3333333333333333) + (2.0 * (l / k))) / k);
	} else {
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k);
	}
	return tmp;
}
def code(t, l, k):
	tmp = 0
	if k <= 3.15:
		tmp = ((l / math.tan(k)) / (k * t)) * ((((l * k) * 0.3333333333333333) + (2.0 * (l / k))) / k)
	else:
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k)
	return tmp
function code(t, l, k)
	tmp = 0.0
	if (k <= 3.15)
		tmp = Float64(Float64(Float64(l / tan(k)) / Float64(k * t)) * Float64(Float64(Float64(Float64(l * k) * 0.3333333333333333) + Float64(2.0 * Float64(l / k))) / k));
	else
		tmp = Float64(Float64(2.0 / Float64(k * Float64(k * t))) * Float64(Float64(l * Float64(l / k)) / k));
	end
	return tmp
end
function tmp_2 = code(t, l, k)
	tmp = 0.0;
	if (k <= 3.15)
		tmp = ((l / tan(k)) / (k * t)) * ((((l * k) * 0.3333333333333333) + (2.0 * (l / k))) / k);
	else
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k);
	end
	tmp_2 = tmp;
end
code[t_, l_, k_] := If[LessEqual[k, 3.15], N[(N[(N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision] / N[(k * t), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(l * k), $MachinePrecision] * 0.3333333333333333), $MachinePrecision] + N[(2.0 * N[(l / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[(k * N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l * N[(l / k), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;k \leq 3.15:\\
\;\;\;\;\frac{\frac{\ell}{\tan k}}{k \cdot t} \cdot \frac{\left(\ell \cdot k\right) \cdot 0.3333333333333333 + 2 \cdot \frac{\ell}{k}}{k}\\

\mathbf{else}:\\
\;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 3.14999999999999991

    1. Initial program 37.9%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. Step-by-step derivation
      1. associate-*l*37.9%

        \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      2. associate-*l*38.4%

        \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
      3. associate-/r*38.4%

        \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
      4. associate-/r/38.4%

        \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      5. *-commutative38.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
      6. times-frac37.9%

        \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
      7. +-commutative37.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      8. associate--l+46.6%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      9. metadata-eval46.6%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      10. +-rgt-identity46.6%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      11. times-frac49.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    3. Simplified49.9%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    4. Taylor expanded in t around 0 82.8%

      \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    5. Step-by-step derivation
      1. unpow282.8%

        \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
      2. associate-*l*85.8%

        \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    6. Simplified85.8%

      \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    7. Step-by-step derivation
      1. associate-*l/85.9%

        \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
    8. Applied egg-rr85.9%

      \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
    9. Step-by-step derivation
      1. associate-*r*85.9%

        \[\leadsto \frac{\color{blue}{\left(2 \cdot \frac{\ell}{\sin k}\right) \cdot \frac{\ell}{\tan k}}}{k \cdot \left(k \cdot t\right)} \]
      2. times-frac98.6%

        \[\leadsto \color{blue}{\frac{2 \cdot \frac{\ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
      3. associate-*r/98.6%

        \[\leadsto \frac{\color{blue}{\frac{2 \cdot \ell}{\sin k}}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
    10. Simplified98.6%

      \[\leadsto \color{blue}{\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
    11. Taylor expanded in k around 0 71.5%

      \[\leadsto \frac{\color{blue}{0.3333333333333333 \cdot \left(k \cdot \ell\right) + 2 \cdot \frac{\ell}{k}}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]

    if 3.14999999999999991 < k

    1. Initial program 28.8%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. Step-by-step derivation
      1. associate-*l*28.8%

        \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      2. associate-*l*28.8%

        \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
      3. associate-/r*28.8%

        \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
      4. associate-/r/28.8%

        \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      5. *-commutative28.8%

        \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
      6. times-frac28.9%

        \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
      7. +-commutative28.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      8. associate--l+44.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      9. metadata-eval44.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      10. +-rgt-identity44.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      11. times-frac44.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    3. Simplified44.9%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    4. Taylor expanded in t around 0 76.9%

      \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    5. Step-by-step derivation
      1. unpow276.9%

        \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
      2. associate-*l*80.6%

        \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    6. Simplified80.6%

      \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    7. Taylor expanded in k around 0 61.1%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{2}}} \]
    8. Step-by-step derivation
      1. unpow261.1%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\color{blue}{\ell \cdot \ell}}{{k}^{2}} \]
      2. unpow261.1%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{\color{blue}{k \cdot k}} \]
      3. times-frac61.7%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
    9. Simplified61.7%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
    10. Step-by-step derivation
      1. associate-*r/61.7%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{\frac{\ell}{k} \cdot \ell}{k}} \]
    11. Applied egg-rr61.7%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{\frac{\ell}{k} \cdot \ell}{k}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification68.6%

    \[\leadsto \begin{array}{l} \mathbf{if}\;k \leq 3.15:\\ \;\;\;\;\frac{\frac{\ell}{\tan k}}{k \cdot t} \cdot \frac{\left(\ell \cdot k\right) \cdot 0.3333333333333333 + 2 \cdot \frac{\ell}{k}}{k}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\ \end{array} \]

Alternative 6: 70.8% accurate, 3.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;k \leq 200000000000:\\ \;\;\;\;\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{k} + -0.3333333333333333 \cdot \left(\ell \cdot k\right)}{k \cdot t}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\ \end{array} \end{array} \]
(FPCore (t l k)
 :precision binary64
 (if (<= k 200000000000.0)
   (*
    (/ (/ (* 2.0 l) (sin k)) k)
    (/ (+ (/ l k) (* -0.3333333333333333 (* l k))) (* k t)))
   (* (/ 2.0 (* k (* k t))) (/ (* l (/ l k)) k))))
double code(double t, double l, double k) {
	double tmp;
	if (k <= 200000000000.0) {
		tmp = (((2.0 * l) / sin(k)) / k) * (((l / k) + (-0.3333333333333333 * (l * k))) / (k * t));
	} else {
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k);
	}
	return tmp;
}
real(8) function code(t, l, k)
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8) :: tmp
    if (k <= 200000000000.0d0) then
        tmp = (((2.0d0 * l) / sin(k)) / k) * (((l / k) + ((-0.3333333333333333d0) * (l * k))) / (k * t))
    else
        tmp = (2.0d0 / (k * (k * t))) * ((l * (l / k)) / k)
    end if
    code = tmp
end function
public static double code(double t, double l, double k) {
	double tmp;
	if (k <= 200000000000.0) {
		tmp = (((2.0 * l) / Math.sin(k)) / k) * (((l / k) + (-0.3333333333333333 * (l * k))) / (k * t));
	} else {
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k);
	}
	return tmp;
}
def code(t, l, k):
	tmp = 0
	if k <= 200000000000.0:
		tmp = (((2.0 * l) / math.sin(k)) / k) * (((l / k) + (-0.3333333333333333 * (l * k))) / (k * t))
	else:
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k)
	return tmp
function code(t, l, k)
	tmp = 0.0
	if (k <= 200000000000.0)
		tmp = Float64(Float64(Float64(Float64(2.0 * l) / sin(k)) / k) * Float64(Float64(Float64(l / k) + Float64(-0.3333333333333333 * Float64(l * k))) / Float64(k * t)));
	else
		tmp = Float64(Float64(2.0 / Float64(k * Float64(k * t))) * Float64(Float64(l * Float64(l / k)) / k));
	end
	return tmp
end
function tmp_2 = code(t, l, k)
	tmp = 0.0;
	if (k <= 200000000000.0)
		tmp = (((2.0 * l) / sin(k)) / k) * (((l / k) + (-0.3333333333333333 * (l * k))) / (k * t));
	else
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k);
	end
	tmp_2 = tmp;
end
code[t_, l_, k_] := If[LessEqual[k, 200000000000.0], N[(N[(N[(N[(2.0 * l), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision] * N[(N[(N[(l / k), $MachinePrecision] + N[(-0.3333333333333333 * N[(l * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[(k * N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l * N[(l / k), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;k \leq 200000000000:\\
\;\;\;\;\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{k} + -0.3333333333333333 \cdot \left(\ell \cdot k\right)}{k \cdot t}\\

\mathbf{else}:\\
\;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 2e11

    1. Initial program 37.3%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. Step-by-step derivation
      1. associate-*l*37.2%

        \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      2. associate-*l*37.7%

        \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
      3. associate-/r*37.7%

        \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
      4. associate-/r/37.7%

        \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      5. *-commutative37.7%

        \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
      6. times-frac37.3%

        \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
      7. +-commutative37.3%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      8. associate--l+45.8%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      9. metadata-eval45.8%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      10. +-rgt-identity45.8%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      11. times-frac49.1%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    3. Simplified49.1%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    4. Taylor expanded in t around 0 83.1%

      \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    5. Step-by-step derivation
      1. unpow283.1%

        \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
      2. associate-*l*86.1%

        \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    6. Simplified86.1%

      \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    7. Step-by-step derivation
      1. associate-*l/86.1%

        \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
    8. Applied egg-rr86.1%

      \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
    9. Step-by-step derivation
      1. associate-*r*86.1%

        \[\leadsto \frac{\color{blue}{\left(2 \cdot \frac{\ell}{\sin k}\right) \cdot \frac{\ell}{\tan k}}}{k \cdot \left(k \cdot t\right)} \]
      2. times-frac98.6%

        \[\leadsto \color{blue}{\frac{2 \cdot \frac{\ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
      3. associate-*r/98.6%

        \[\leadsto \frac{\color{blue}{\frac{2 \cdot \ell}{\sin k}}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
    10. Simplified98.6%

      \[\leadsto \color{blue}{\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
    11. Taylor expanded in k around 0 73.9%

      \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\color{blue}{-0.3333333333333333 \cdot \left(k \cdot \ell\right) + \frac{\ell}{k}}}{k \cdot t} \]

    if 2e11 < k

    1. Initial program 29.9%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. Step-by-step derivation
      1. associate-*l*29.9%

        \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      2. associate-*l*29.9%

        \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
      3. associate-/r*29.9%

        \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
      4. associate-/r/29.9%

        \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      5. *-commutative29.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
      6. times-frac30.1%

        \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
      7. +-commutative30.1%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      8. associate--l+46.7%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      9. metadata-eval46.7%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      10. +-rgt-identity46.7%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      11. times-frac46.7%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    3. Simplified46.7%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    4. Taylor expanded in t around 0 76.0%

      \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    5. Step-by-step derivation
      1. unpow276.0%

        \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
      2. associate-*l*79.8%

        \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    6. Simplified79.8%

      \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    7. Taylor expanded in k around 0 60.7%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{2}}} \]
    8. Step-by-step derivation
      1. unpow260.7%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\color{blue}{\ell \cdot \ell}}{{k}^{2}} \]
      2. unpow260.7%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{\color{blue}{k \cdot k}} \]
      3. times-frac61.4%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
    9. Simplified61.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
    10. Step-by-step derivation
      1. associate-*r/61.4%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{\frac{\ell}{k} \cdot \ell}{k}} \]
    11. Applied egg-rr61.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{\frac{\ell}{k} \cdot \ell}{k}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification70.3%

    \[\leadsto \begin{array}{l} \mathbf{if}\;k \leq 200000000000:\\ \;\;\;\;\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{k} + -0.3333333333333333 \cdot \left(\ell \cdot k\right)}{k \cdot t}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\ \end{array} \]

Alternative 7: 71.8% accurate, 3.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := k \cdot \left(k \cdot t\right)\\ \mathbf{if}\;\ell \leq 1.4 \cdot 10^{+211}:\\ \;\;\;\;\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\ell}{t_1}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{t_1} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\ \end{array} \end{array} \]
(FPCore (t l k)
 :precision binary64
 (let* ((t_1 (* k (* k t))))
   (if (<= l 1.4e+211)
     (* (/ (/ (* 2.0 l) (sin k)) k) (/ l t_1))
     (* (/ 2.0 t_1) (/ (* l (/ l k)) k)))))
double code(double t, double l, double k) {
	double t_1 = k * (k * t);
	double tmp;
	if (l <= 1.4e+211) {
		tmp = (((2.0 * l) / sin(k)) / k) * (l / t_1);
	} else {
		tmp = (2.0 / t_1) * ((l * (l / k)) / k);
	}
	return tmp;
}
real(8) function code(t, l, k)
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8) :: t_1
    real(8) :: tmp
    t_1 = k * (k * t)
    if (l <= 1.4d+211) then
        tmp = (((2.0d0 * l) / sin(k)) / k) * (l / t_1)
    else
        tmp = (2.0d0 / t_1) * ((l * (l / k)) / k)
    end if
    code = tmp
end function
public static double code(double t, double l, double k) {
	double t_1 = k * (k * t);
	double tmp;
	if (l <= 1.4e+211) {
		tmp = (((2.0 * l) / Math.sin(k)) / k) * (l / t_1);
	} else {
		tmp = (2.0 / t_1) * ((l * (l / k)) / k);
	}
	return tmp;
}
def code(t, l, k):
	t_1 = k * (k * t)
	tmp = 0
	if l <= 1.4e+211:
		tmp = (((2.0 * l) / math.sin(k)) / k) * (l / t_1)
	else:
		tmp = (2.0 / t_1) * ((l * (l / k)) / k)
	return tmp
function code(t, l, k)
	t_1 = Float64(k * Float64(k * t))
	tmp = 0.0
	if (l <= 1.4e+211)
		tmp = Float64(Float64(Float64(Float64(2.0 * l) / sin(k)) / k) * Float64(l / t_1));
	else
		tmp = Float64(Float64(2.0 / t_1) * Float64(Float64(l * Float64(l / k)) / k));
	end
	return tmp
end
function tmp_2 = code(t, l, k)
	t_1 = k * (k * t);
	tmp = 0.0;
	if (l <= 1.4e+211)
		tmp = (((2.0 * l) / sin(k)) / k) * (l / t_1);
	else
		tmp = (2.0 / t_1) * ((l * (l / k)) / k);
	end
	tmp_2 = tmp;
end
code[t_, l_, k_] := Block[{t$95$1 = N[(k * N[(k * t), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[l, 1.4e+211], N[(N[(N[(N[(2.0 * l), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision] * N[(l / t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / t$95$1), $MachinePrecision] * N[(N[(l * N[(l / k), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_1 := k \cdot \left(k \cdot t\right)\\
\mathbf{if}\;\ell \leq 1.4 \cdot 10^{+211}:\\
\;\;\;\;\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\ell}{t_1}\\

\mathbf{else}:\\
\;\;\;\;\frac{2}{t_1} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if l < 1.4e211

    1. Initial program 36.5%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. Step-by-step derivation
      1. associate-*l*36.5%

        \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      2. associate-*l*36.9%

        \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
      3. associate-/r*36.9%

        \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
      4. associate-/r/36.9%

        \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      5. *-commutative36.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
      6. times-frac36.5%

        \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
      7. +-commutative36.5%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      8. associate--l+48.2%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      9. metadata-eval48.2%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      10. +-rgt-identity48.2%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      11. times-frac50.8%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    3. Simplified50.8%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    4. Taylor expanded in t around 0 83.3%

      \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    5. Step-by-step derivation
      1. unpow283.3%

        \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
      2. associate-*l*86.8%

        \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    6. Simplified86.8%

      \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    7. Step-by-step derivation
      1. associate-*l/86.8%

        \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
    8. Applied egg-rr86.8%

      \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
    9. Step-by-step derivation
      1. associate-*r*86.8%

        \[\leadsto \frac{\color{blue}{\left(2 \cdot \frac{\ell}{\sin k}\right) \cdot \frac{\ell}{\tan k}}}{k \cdot \left(k \cdot t\right)} \]
      2. times-frac99.0%

        \[\leadsto \color{blue}{\frac{2 \cdot \frac{\ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
      3. associate-*r/99.0%

        \[\leadsto \frac{\color{blue}{\frac{2 \cdot \ell}{\sin k}}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
    10. Simplified99.0%

      \[\leadsto \color{blue}{\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
    11. Taylor expanded in k around 0 71.2%

      \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \color{blue}{\frac{\ell}{{k}^{2} \cdot t}} \]
    12. Step-by-step derivation
      1. unpow271.2%

        \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\ell}{\color{blue}{\left(k \cdot k\right)} \cdot t} \]
      2. associate-*r*71.7%

        \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\ell}{\color{blue}{k \cdot \left(k \cdot t\right)}} \]
    13. Simplified71.7%

      \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \color{blue}{\frac{\ell}{k \cdot \left(k \cdot t\right)}} \]

    if 1.4e211 < l

    1. Initial program 17.4%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. Step-by-step derivation
      1. associate-*l*17.4%

        \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      2. associate-*l*17.4%

        \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
      3. associate-/r*17.4%

        \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
      4. associate-/r/17.4%

        \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      5. *-commutative17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
      6. times-frac17.4%

        \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
      7. +-commutative17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      8. associate--l+17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      9. metadata-eval17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      10. +-rgt-identity17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      11. times-frac17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    3. Simplified17.4%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    4. Taylor expanded in t around 0 51.1%

      \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    5. Step-by-step derivation
      1. unpow251.1%

        \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
      2. associate-*l*51.1%

        \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    6. Simplified51.1%

      \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    7. Taylor expanded in k around 0 50.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{2}}} \]
    8. Step-by-step derivation
      1. unpow250.4%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\color{blue}{\ell \cdot \ell}}{{k}^{2}} \]
      2. unpow250.4%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{\color{blue}{k \cdot k}} \]
      3. times-frac51.3%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
    9. Simplified51.3%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
    10. Step-by-step derivation
      1. associate-*r/51.0%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{\frac{\ell}{k} \cdot \ell}{k}} \]
    11. Applied egg-rr51.0%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{\frac{\ell}{k} \cdot \ell}{k}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification70.3%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 1.4 \cdot 10^{+211}:\\ \;\;\;\;\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\ell}{k \cdot \left(k \cdot t\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\ \end{array} \]

Alternative 8: 73.0% accurate, 3.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\ell \leq 3.2 \cdot 10^{+209}:\\ \;\;\;\;\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{k}}{k \cdot t}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\ \end{array} \end{array} \]
(FPCore (t l k)
 :precision binary64
 (if (<= l 3.2e+209)
   (* (/ (/ (* 2.0 l) (sin k)) k) (/ (/ l k) (* k t)))
   (* (/ 2.0 (* k (* k t))) (/ (* l (/ l k)) k))))
double code(double t, double l, double k) {
	double tmp;
	if (l <= 3.2e+209) {
		tmp = (((2.0 * l) / sin(k)) / k) * ((l / k) / (k * t));
	} else {
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k);
	}
	return tmp;
}
real(8) function code(t, l, k)
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8) :: tmp
    if (l <= 3.2d+209) then
        tmp = (((2.0d0 * l) / sin(k)) / k) * ((l / k) / (k * t))
    else
        tmp = (2.0d0 / (k * (k * t))) * ((l * (l / k)) / k)
    end if
    code = tmp
end function
public static double code(double t, double l, double k) {
	double tmp;
	if (l <= 3.2e+209) {
		tmp = (((2.0 * l) / Math.sin(k)) / k) * ((l / k) / (k * t));
	} else {
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k);
	}
	return tmp;
}
def code(t, l, k):
	tmp = 0
	if l <= 3.2e+209:
		tmp = (((2.0 * l) / math.sin(k)) / k) * ((l / k) / (k * t))
	else:
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k)
	return tmp
function code(t, l, k)
	tmp = 0.0
	if (l <= 3.2e+209)
		tmp = Float64(Float64(Float64(Float64(2.0 * l) / sin(k)) / k) * Float64(Float64(l / k) / Float64(k * t)));
	else
		tmp = Float64(Float64(2.0 / Float64(k * Float64(k * t))) * Float64(Float64(l * Float64(l / k)) / k));
	end
	return tmp
end
function tmp_2 = code(t, l, k)
	tmp = 0.0;
	if (l <= 3.2e+209)
		tmp = (((2.0 * l) / sin(k)) / k) * ((l / k) / (k * t));
	else
		tmp = (2.0 / (k * (k * t))) * ((l * (l / k)) / k);
	end
	tmp_2 = tmp;
end
code[t_, l_, k_] := If[LessEqual[l, 3.2e+209], N[(N[(N[(N[(2.0 * l), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision] * N[(N[(l / k), $MachinePrecision] / N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[(k * N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l * N[(l / k), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;\ell \leq 3.2 \cdot 10^{+209}:\\
\;\;\;\;\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{k}}{k \cdot t}\\

\mathbf{else}:\\
\;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if l < 3.1999999999999999e209

    1. Initial program 36.5%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. Step-by-step derivation
      1. associate-*l*36.5%

        \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      2. associate-*l*36.9%

        \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
      3. associate-/r*36.9%

        \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
      4. associate-/r/36.9%

        \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      5. *-commutative36.9%

        \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
      6. times-frac36.5%

        \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
      7. +-commutative36.5%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      8. associate--l+48.2%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      9. metadata-eval48.2%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      10. +-rgt-identity48.2%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      11. times-frac50.8%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    3. Simplified50.8%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    4. Taylor expanded in t around 0 83.3%

      \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    5. Step-by-step derivation
      1. unpow283.3%

        \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
      2. associate-*l*86.8%

        \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    6. Simplified86.8%

      \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    7. Step-by-step derivation
      1. associate-*l/86.8%

        \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
    8. Applied egg-rr86.8%

      \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)}{k \cdot \left(k \cdot t\right)}} \]
    9. Step-by-step derivation
      1. associate-*r*86.8%

        \[\leadsto \frac{\color{blue}{\left(2 \cdot \frac{\ell}{\sin k}\right) \cdot \frac{\ell}{\tan k}}}{k \cdot \left(k \cdot t\right)} \]
      2. times-frac99.0%

        \[\leadsto \color{blue}{\frac{2 \cdot \frac{\ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
      3. associate-*r/99.0%

        \[\leadsto \frac{\color{blue}{\frac{2 \cdot \ell}{\sin k}}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t} \]
    10. Simplified99.0%

      \[\leadsto \color{blue}{\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{\tan k}}{k \cdot t}} \]
    11. Taylor expanded in k around 0 72.6%

      \[\leadsto \frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\color{blue}{\frac{\ell}{k}}}{k \cdot t} \]

    if 3.1999999999999999e209 < l

    1. Initial program 17.4%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. Step-by-step derivation
      1. associate-*l*17.4%

        \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      2. associate-*l*17.4%

        \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
      3. associate-/r*17.4%

        \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
      4. associate-/r/17.4%

        \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
      5. *-commutative17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
      6. times-frac17.4%

        \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
      7. +-commutative17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      8. associate--l+17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      9. metadata-eval17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      10. +-rgt-identity17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
      11. times-frac17.4%

        \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    3. Simplified17.4%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
    4. Taylor expanded in t around 0 51.1%

      \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    5. Step-by-step derivation
      1. unpow251.1%

        \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
      2. associate-*l*51.1%

        \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    6. Simplified51.1%

      \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    7. Taylor expanded in k around 0 50.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{2}}} \]
    8. Step-by-step derivation
      1. unpow250.4%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\color{blue}{\ell \cdot \ell}}{{k}^{2}} \]
      2. unpow250.4%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{\color{blue}{k \cdot k}} \]
      3. times-frac51.3%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
    9. Simplified51.3%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
    10. Step-by-step derivation
      1. associate-*r/51.0%

        \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{\frac{\ell}{k} \cdot \ell}{k}} \]
    11. Applied egg-rr51.0%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{\frac{\ell}{k} \cdot \ell}{k}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification71.0%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 3.2 \cdot 10^{+209}:\\ \;\;\;\;\frac{\frac{2 \cdot \ell}{\sin k}}{k} \cdot \frac{\frac{\ell}{k}}{k \cdot t}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \frac{\ell}{k}}{k}\\ \end{array} \]

Alternative 9: 70.3% accurate, 3.8× speedup?

\[\begin{array}{l} \\ \frac{2 \cdot {\left(\frac{\ell}{k}\right)}^{2}}{k \cdot \left(k \cdot t\right)} \end{array} \]
(FPCore (t l k)
 :precision binary64
 (/ (* 2.0 (pow (/ l k) 2.0)) (* k (* k t))))
double code(double t, double l, double k) {
	return (2.0 * pow((l / k), 2.0)) / (k * (k * t));
}
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 * ((l / k) ** 2.0d0)) / (k * (k * t))
end function
public static double code(double t, double l, double k) {
	return (2.0 * Math.pow((l / k), 2.0)) / (k * (k * t));
}
def code(t, l, k):
	return (2.0 * math.pow((l / k), 2.0)) / (k * (k * t))
function code(t, l, k)
	return Float64(Float64(2.0 * (Float64(l / k) ^ 2.0)) / Float64(k * Float64(k * t)))
end
function tmp = code(t, l, k)
	tmp = (2.0 * ((l / k) ^ 2.0)) / (k * (k * t));
end
code[t_, l_, k_] := N[(N[(2.0 * N[Power[N[(l / k), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(k * N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{2 \cdot {\left(\frac{\ell}{k}\right)}^{2}}{k \cdot \left(k \cdot t\right)}
\end{array}
Derivation
  1. Initial program 35.1%

    \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
  2. Step-by-step derivation
    1. associate-*l*35.1%

      \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. associate-*l*35.5%

      \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
    3. associate-/r*35.5%

      \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
    4. associate-/r/35.5%

      \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    5. *-commutative35.5%

      \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
    6. times-frac35.2%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
    7. +-commutative35.2%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    8. associate--l+46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    9. metadata-eval46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    10. +-rgt-identity46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    11. times-frac48.4%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  3. Simplified48.4%

    \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  4. Taylor expanded in t around 0 81.0%

    \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  5. Step-by-step derivation
    1. unpow281.0%

      \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    2. associate-*l*84.2%

      \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  6. Simplified84.2%

    \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  7. Taylor expanded in k around 0 66.0%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{2}}} \]
  8. Step-by-step derivation
    1. unpow266.0%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\color{blue}{\ell \cdot \ell}}{{k}^{2}} \]
    2. unpow266.0%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{\color{blue}{k \cdot k}} \]
    3. times-frac69.5%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
  9. Simplified69.5%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
  10. Step-by-step derivation
    1. associate-*l/69.5%

      \[\leadsto \color{blue}{\frac{2 \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)}{k \cdot \left(k \cdot t\right)}} \]
    2. pow269.5%

      \[\leadsto \frac{2 \cdot \color{blue}{{\left(\frac{\ell}{k}\right)}^{2}}}{k \cdot \left(k \cdot t\right)} \]
  11. Applied egg-rr69.5%

    \[\leadsto \color{blue}{\frac{2 \cdot {\left(\frac{\ell}{k}\right)}^{2}}{k \cdot \left(k \cdot t\right)}} \]
  12. Final simplification69.5%

    \[\leadsto \frac{2 \cdot {\left(\frac{\ell}{k}\right)}^{2}}{k \cdot \left(k \cdot t\right)} \]

Alternative 10: 70.1% accurate, 28.1× speedup?

\[\begin{array}{l} \\ \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \end{array} \]
(FPCore (t l k)
 :precision binary64
 (* (/ 2.0 (* k (* k t))) (* (/ l k) (/ l k))))
double code(double t, double l, double k) {
	return (2.0 / (k * (k * t))) * ((l / k) * (l / k));
}
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 / (k * (k * t))) * ((l / k) * (l / k))
end function
public static double code(double t, double l, double k) {
	return (2.0 / (k * (k * t))) * ((l / k) * (l / k));
}
def code(t, l, k):
	return (2.0 / (k * (k * t))) * ((l / k) * (l / k))
function code(t, l, k)
	return Float64(Float64(2.0 / Float64(k * Float64(k * t))) * Float64(Float64(l / k) * Float64(l / k)))
end
function tmp = code(t, l, k)
	tmp = (2.0 / (k * (k * t))) * ((l / k) * (l / k));
end
code[t_, l_, k_] := N[(N[(2.0 / N[(k * N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(l / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)
\end{array}
Derivation
  1. Initial program 35.1%

    \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
  2. Step-by-step derivation
    1. associate-*l*35.1%

      \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. associate-*l*35.5%

      \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
    3. associate-/r*35.5%

      \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
    4. associate-/r/35.5%

      \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    5. *-commutative35.5%

      \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
    6. times-frac35.2%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
    7. +-commutative35.2%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    8. associate--l+46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    9. metadata-eval46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    10. +-rgt-identity46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    11. times-frac48.4%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  3. Simplified48.4%

    \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  4. Taylor expanded in t around 0 81.0%

    \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  5. Step-by-step derivation
    1. unpow281.0%

      \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    2. associate-*l*84.2%

      \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  6. Simplified84.2%

    \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  7. Taylor expanded in k around 0 66.0%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{2}}} \]
  8. Step-by-step derivation
    1. unpow266.0%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\color{blue}{\ell \cdot \ell}}{{k}^{2}} \]
    2. unpow266.0%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{\color{blue}{k \cdot k}} \]
    3. times-frac69.5%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
  9. Simplified69.5%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
  10. Final simplification69.5%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \]

Alternative 11: 33.7% accurate, 38.3× speedup?

\[\begin{array}{l} \\ -0.3333333333333333 \cdot \frac{\ell \cdot \ell}{k \cdot \left(k \cdot t\right)} \end{array} \]
(FPCore (t l k)
 :precision binary64
 (* -0.3333333333333333 (/ (* l l) (* k (* k t)))))
double code(double t, double l, double k) {
	return -0.3333333333333333 * ((l * l) / (k * (k * t)));
}
real(8) function code(t, l, k)
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    code = (-0.3333333333333333d0) * ((l * l) / (k * (k * t)))
end function
public static double code(double t, double l, double k) {
	return -0.3333333333333333 * ((l * l) / (k * (k * t)));
}
def code(t, l, k):
	return -0.3333333333333333 * ((l * l) / (k * (k * t)))
function code(t, l, k)
	return Float64(-0.3333333333333333 * Float64(Float64(l * l) / Float64(k * Float64(k * t))))
end
function tmp = code(t, l, k)
	tmp = -0.3333333333333333 * ((l * l) / (k * (k * t)));
end
code[t_, l_, k_] := N[(-0.3333333333333333 * N[(N[(l * l), $MachinePrecision] / N[(k * N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
-0.3333333333333333 \cdot \frac{\ell \cdot \ell}{k \cdot \left(k \cdot t\right)}
\end{array}
Derivation
  1. Initial program 35.1%

    \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
  2. Step-by-step derivation
    1. associate-*l*35.1%

      \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. associate-*l*35.5%

      \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
    3. associate-/r*35.5%

      \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
    4. associate-/r/35.5%

      \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    5. *-commutative35.5%

      \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
    6. times-frac35.2%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
    7. +-commutative35.2%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    8. associate--l+46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    9. metadata-eval46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    10. +-rgt-identity46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    11. times-frac48.4%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  3. Simplified48.4%

    \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  4. Taylor expanded in t around 0 81.0%

    \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  5. Step-by-step derivation
    1. unpow281.0%

      \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    2. associate-*l*84.2%

      \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  6. Simplified84.2%

    \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  7. Taylor expanded in k around 0 56.8%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(-0.16666666666666666 \cdot {\ell}^{2} + \frac{{\ell}^{2}}{{k}^{2}}\right)} \]
  8. Step-by-step derivation
    1. *-commutative56.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \left(\color{blue}{{\ell}^{2} \cdot -0.16666666666666666} + \frac{{\ell}^{2}}{{k}^{2}}\right) \]
    2. fma-def56.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\mathsf{fma}\left({\ell}^{2}, -0.16666666666666666, \frac{{\ell}^{2}}{{k}^{2}}\right)} \]
    3. unpow256.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \mathsf{fma}\left(\color{blue}{\ell \cdot \ell}, -0.16666666666666666, \frac{{\ell}^{2}}{{k}^{2}}\right) \]
    4. unpow256.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \mathsf{fma}\left(\ell \cdot \ell, -0.16666666666666666, \frac{\color{blue}{\ell \cdot \ell}}{{k}^{2}}\right) \]
    5. unpow256.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \mathsf{fma}\left(\ell \cdot \ell, -0.16666666666666666, \frac{\ell \cdot \ell}{\color{blue}{k \cdot k}}\right) \]
    6. times-frac61.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \mathsf{fma}\left(\ell \cdot \ell, -0.16666666666666666, \color{blue}{\frac{\ell}{k} \cdot \frac{\ell}{k}}\right) \]
  9. Simplified61.8%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\mathsf{fma}\left(\ell \cdot \ell, -0.16666666666666666, \frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
  10. Taylor expanded in k around inf 36.4%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(-0.16666666666666666 \cdot {\ell}^{2}\right)} \]
  11. Step-by-step derivation
    1. *-commutative36.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left({\ell}^{2} \cdot -0.16666666666666666\right)} \]
    2. unpow236.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \left(\color{blue}{\left(\ell \cdot \ell\right)} \cdot -0.16666666666666666\right) \]
    3. associate-*l*36.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\ell \cdot \left(\ell \cdot -0.16666666666666666\right)\right)} \]
  12. Simplified36.4%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\ell \cdot \left(\ell \cdot -0.16666666666666666\right)\right)} \]
  13. Taylor expanded in k around 0 35.8%

    \[\leadsto \color{blue}{-0.3333333333333333 \cdot \frac{{\ell}^{2}}{{k}^{2} \cdot t}} \]
  14. Step-by-step derivation
    1. unpow235.8%

      \[\leadsto -0.3333333333333333 \cdot \frac{\color{blue}{\ell \cdot \ell}}{{k}^{2} \cdot t} \]
    2. unpow235.8%

      \[\leadsto -0.3333333333333333 \cdot \frac{\ell \cdot \ell}{\color{blue}{\left(k \cdot k\right)} \cdot t} \]
    3. associate-*r*36.4%

      \[\leadsto -0.3333333333333333 \cdot \frac{\ell \cdot \ell}{\color{blue}{k \cdot \left(k \cdot t\right)}} \]
  15. Simplified36.4%

    \[\leadsto \color{blue}{-0.3333333333333333 \cdot \frac{\ell \cdot \ell}{k \cdot \left(k \cdot t\right)}} \]
  16. Final simplification36.4%

    \[\leadsto -0.3333333333333333 \cdot \frac{\ell \cdot \ell}{k \cdot \left(k \cdot t\right)} \]

Alternative 12: 34.7% accurate, 38.3× speedup?

\[\begin{array}{l} \\ \frac{-0.3333333333333333}{k} \cdot \frac{\frac{\ell}{\frac{t}{\ell}}}{k} \end{array} \]
(FPCore (t l k)
 :precision binary64
 (* (/ -0.3333333333333333 k) (/ (/ l (/ t l)) k)))
double code(double t, double l, double k) {
	return (-0.3333333333333333 / k) * ((l / (t / l)) / k);
}
real(8) function code(t, l, k)
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    code = ((-0.3333333333333333d0) / k) * ((l / (t / l)) / k)
end function
public static double code(double t, double l, double k) {
	return (-0.3333333333333333 / k) * ((l / (t / l)) / k);
}
def code(t, l, k):
	return (-0.3333333333333333 / k) * ((l / (t / l)) / k)
function code(t, l, k)
	return Float64(Float64(-0.3333333333333333 / k) * Float64(Float64(l / Float64(t / l)) / k))
end
function tmp = code(t, l, k)
	tmp = (-0.3333333333333333 / k) * ((l / (t / l)) / k);
end
code[t_, l_, k_] := N[(N[(-0.3333333333333333 / k), $MachinePrecision] * N[(N[(l / N[(t / l), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{-0.3333333333333333}{k} \cdot \frac{\frac{\ell}{\frac{t}{\ell}}}{k}
\end{array}
Derivation
  1. Initial program 35.1%

    \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
  2. Step-by-step derivation
    1. associate-*l*35.1%

      \[\leadsto \frac{2}{\color{blue}{\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\sin k \cdot \tan k\right)\right)} \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    2. associate-*l*35.5%

      \[\leadsto \frac{2}{\color{blue}{\frac{{t}^{3}}{\ell \cdot \ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)\right)}} \]
    3. associate-/r*35.5%

      \[\leadsto \color{blue}{\frac{\frac{2}{\frac{{t}^{3}}{\ell \cdot \ell}}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}} \]
    4. associate-/r/35.5%

      \[\leadsto \frac{\color{blue}{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}}{\left(\sin k \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
    5. *-commutative35.5%

      \[\leadsto \frac{\frac{2}{{t}^{3}} \cdot \left(\ell \cdot \ell\right)}{\color{blue}{\left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right) \cdot \left(\sin k \cdot \tan k\right)}} \]
    6. times-frac35.2%

      \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k}} \]
    7. +-commutative35.2%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{\left({\left(\frac{k}{t}\right)}^{2} + 1\right)} - 1} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    8. associate--l+46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2} + \left(1 - 1\right)}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    9. metadata-eval46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2} + \color{blue}{0}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    10. +-rgt-identity46.1%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{\color{blue}{{\left(\frac{k}{t}\right)}^{2}}} \cdot \frac{\ell \cdot \ell}{\sin k \cdot \tan k} \]
    11. times-frac48.4%

      \[\leadsto \frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \color{blue}{\left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  3. Simplified48.4%

    \[\leadsto \color{blue}{\frac{\frac{2}{{t}^{3}}}{{\left(\frac{k}{t}\right)}^{2}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right)} \]
  4. Taylor expanded in t around 0 81.0%

    \[\leadsto \color{blue}{\frac{2}{{k}^{2} \cdot t}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  5. Step-by-step derivation
    1. unpow281.0%

      \[\leadsto \frac{2}{\color{blue}{\left(k \cdot k\right)} \cdot t} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
    2. associate-*l*84.2%

      \[\leadsto \frac{2}{\color{blue}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  6. Simplified84.2%

    \[\leadsto \color{blue}{\frac{2}{k \cdot \left(k \cdot t\right)}} \cdot \left(\frac{\ell}{\sin k} \cdot \frac{\ell}{\tan k}\right) \]
  7. Taylor expanded in k around 0 56.8%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(-0.16666666666666666 \cdot {\ell}^{2} + \frac{{\ell}^{2}}{{k}^{2}}\right)} \]
  8. Step-by-step derivation
    1. *-commutative56.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \left(\color{blue}{{\ell}^{2} \cdot -0.16666666666666666} + \frac{{\ell}^{2}}{{k}^{2}}\right) \]
    2. fma-def56.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\mathsf{fma}\left({\ell}^{2}, -0.16666666666666666, \frac{{\ell}^{2}}{{k}^{2}}\right)} \]
    3. unpow256.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \mathsf{fma}\left(\color{blue}{\ell \cdot \ell}, -0.16666666666666666, \frac{{\ell}^{2}}{{k}^{2}}\right) \]
    4. unpow256.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \mathsf{fma}\left(\ell \cdot \ell, -0.16666666666666666, \frac{\color{blue}{\ell \cdot \ell}}{{k}^{2}}\right) \]
    5. unpow256.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \mathsf{fma}\left(\ell \cdot \ell, -0.16666666666666666, \frac{\ell \cdot \ell}{\color{blue}{k \cdot k}}\right) \]
    6. times-frac61.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \mathsf{fma}\left(\ell \cdot \ell, -0.16666666666666666, \color{blue}{\frac{\ell}{k} \cdot \frac{\ell}{k}}\right) \]
  9. Simplified61.8%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\mathsf{fma}\left(\ell \cdot \ell, -0.16666666666666666, \frac{\ell}{k} \cdot \frac{\ell}{k}\right)} \]
  10. Taylor expanded in k around inf 36.4%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(-0.16666666666666666 \cdot {\ell}^{2}\right)} \]
  11. Step-by-step derivation
    1. *-commutative36.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left({\ell}^{2} \cdot -0.16666666666666666\right)} \]
    2. unpow236.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \left(\color{blue}{\left(\ell \cdot \ell\right)} \cdot -0.16666666666666666\right) \]
    3. associate-*l*36.4%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\ell \cdot \left(\ell \cdot -0.16666666666666666\right)\right)} \]
  12. Simplified36.4%

    \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \color{blue}{\left(\ell \cdot \left(\ell \cdot -0.16666666666666666\right)\right)} \]
  13. Taylor expanded in k around 0 35.8%

    \[\leadsto \color{blue}{-0.3333333333333333 \cdot \frac{{\ell}^{2}}{{k}^{2} \cdot t}} \]
  14. Step-by-step derivation
    1. unpow235.8%

      \[\leadsto -0.3333333333333333 \cdot \frac{{\ell}^{2}}{\color{blue}{\left(k \cdot k\right)} \cdot t} \]
    2. associate-*r*36.4%

      \[\leadsto -0.3333333333333333 \cdot \frac{{\ell}^{2}}{\color{blue}{k \cdot \left(k \cdot t\right)}} \]
    3. associate-*r/36.4%

      \[\leadsto \color{blue}{\frac{-0.3333333333333333 \cdot {\ell}^{2}}{k \cdot \left(k \cdot t\right)}} \]
    4. associate-*r*35.8%

      \[\leadsto \frac{-0.3333333333333333 \cdot {\ell}^{2}}{\color{blue}{\left(k \cdot k\right) \cdot t}} \]
    5. unpow235.8%

      \[\leadsto \frac{-0.3333333333333333 \cdot {\ell}^{2}}{\color{blue}{{k}^{2}} \cdot t} \]
    6. associate-/l/35.8%

      \[\leadsto \color{blue}{\frac{\frac{-0.3333333333333333 \cdot {\ell}^{2}}{t}}{{k}^{2}}} \]
    7. associate-*r/35.8%

      \[\leadsto \frac{\color{blue}{-0.3333333333333333 \cdot \frac{{\ell}^{2}}{t}}}{{k}^{2}} \]
    8. unpow235.8%

      \[\leadsto \frac{-0.3333333333333333 \cdot \frac{\color{blue}{\ell \cdot \ell}}{t}}{{k}^{2}} \]
    9. associate-*l/36.3%

      \[\leadsto \frac{-0.3333333333333333 \cdot \color{blue}{\left(\frac{\ell}{t} \cdot \ell\right)}}{{k}^{2}} \]
    10. unpow236.3%

      \[\leadsto \frac{-0.3333333333333333 \cdot \left(\frac{\ell}{t} \cdot \ell\right)}{\color{blue}{k \cdot k}} \]
    11. times-frac37.0%

      \[\leadsto \color{blue}{\frac{-0.3333333333333333}{k} \cdot \frac{\frac{\ell}{t} \cdot \ell}{k}} \]
    12. associate-/r/37.0%

      \[\leadsto \frac{-0.3333333333333333}{k} \cdot \frac{\color{blue}{\frac{\ell}{\frac{t}{\ell}}}}{k} \]
  15. Simplified37.0%

    \[\leadsto \color{blue}{\frac{-0.3333333333333333}{k} \cdot \frac{\frac{\ell}{\frac{t}{\ell}}}{k}} \]
  16. Final simplification37.0%

    \[\leadsto \frac{-0.3333333333333333}{k} \cdot \frac{\frac{\ell}{\frac{t}{\ell}}}{k} \]

Reproduce

?
herbie shell --seed 2023207 
(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))))