| Alternative 1 | |
|---|---|
| Accuracy | 72.3% |
| Cost | 27536 |
(FPCore (d h l M D) :precision binary64 (* (* (pow (/ d h) (/ 1.0 2.0)) (pow (/ d l) (/ 1.0 2.0))) (- 1.0 (* (* (/ 1.0 2.0) (pow (/ (* M D) (* 2.0 d)) 2.0)) (/ h l)))))
(FPCore (d h l M D)
:precision binary64
(let* ((t_0 (sqrt (* d (/ (/ d h) l)))))
(if (<= d -2.8e-146)
(*
(* (/ (sqrt (- d)) (sqrt (- h))) (sqrt (/ d l)))
(+ 1.0 (* (* h (/ (pow (* 0.5 (/ (* M D) d)) 2.0) l)) -0.5)))
(if (<= d -3.8e-219)
(-
(*
0.125
(* (/ (* (pow D 2.0) (pow M 2.0)) d) (sqrt (/ h (pow l 3.0)))))
(* d (sqrt (/ 1.0 (* h l)))))
(if (<= d 1.15e-220)
(+ t_0 (* (* -0.125 (pow (* D (/ M d)) 2.0)) (* (/ h l) t_0)))
(*
(/ d (* (sqrt h) (sqrt l)))
(+ 1.0 (* -0.5 (* h (* (/ (pow (/ D (/ d M)) 2.0) l) 0.25))))))))))double code(double d, double h, double l, double M, double D) {
return (pow((d / h), (1.0 / 2.0)) * pow((d / l), (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * pow(((M * D) / (2.0 * d)), 2.0)) * (h / l)));
}
double code(double d, double h, double l, double M, double D) {
double t_0 = sqrt((d * ((d / h) / l)));
double tmp;
if (d <= -2.8e-146) {
tmp = ((sqrt(-d) / sqrt(-h)) * sqrt((d / l))) * (1.0 + ((h * (pow((0.5 * ((M * D) / d)), 2.0) / l)) * -0.5));
} else if (d <= -3.8e-219) {
tmp = (0.125 * (((pow(D, 2.0) * pow(M, 2.0)) / d) * sqrt((h / pow(l, 3.0))))) - (d * sqrt((1.0 / (h * l))));
} else if (d <= 1.15e-220) {
tmp = t_0 + ((-0.125 * pow((D * (M / d)), 2.0)) * ((h / l) * t_0));
} else {
tmp = (d / (sqrt(h) * sqrt(l))) * (1.0 + (-0.5 * (h * ((pow((D / (d / M)), 2.0) / l) * 0.25))));
}
return tmp;
}
real(8) function code(d, h, l, m, d_1)
real(8), intent (in) :: d
real(8), intent (in) :: h
real(8), intent (in) :: l
real(8), intent (in) :: m
real(8), intent (in) :: d_1
code = (((d / h) ** (1.0d0 / 2.0d0)) * ((d / l) ** (1.0d0 / 2.0d0))) * (1.0d0 - (((1.0d0 / 2.0d0) * (((m * d_1) / (2.0d0 * d)) ** 2.0d0)) * (h / l)))
end function
real(8) function code(d, h, l, m, d_1)
real(8), intent (in) :: d
real(8), intent (in) :: h
real(8), intent (in) :: l
real(8), intent (in) :: m
real(8), intent (in) :: d_1
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt((d * ((d / h) / l)))
if (d <= (-2.8d-146)) then
tmp = ((sqrt(-d) / sqrt(-h)) * sqrt((d / l))) * (1.0d0 + ((h * (((0.5d0 * ((m * d_1) / d)) ** 2.0d0) / l)) * (-0.5d0)))
else if (d <= (-3.8d-219)) then
tmp = (0.125d0 * ((((d_1 ** 2.0d0) * (m ** 2.0d0)) / d) * sqrt((h / (l ** 3.0d0))))) - (d * sqrt((1.0d0 / (h * l))))
else if (d <= 1.15d-220) then
tmp = t_0 + (((-0.125d0) * ((d_1 * (m / d)) ** 2.0d0)) * ((h / l) * t_0))
else
tmp = (d / (sqrt(h) * sqrt(l))) * (1.0d0 + ((-0.5d0) * (h * ((((d_1 / (d / m)) ** 2.0d0) / l) * 0.25d0))))
end if
code = tmp
end function
public static double code(double d, double h, double l, double M, double D) {
return (Math.pow((d / h), (1.0 / 2.0)) * Math.pow((d / l), (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * Math.pow(((M * D) / (2.0 * d)), 2.0)) * (h / l)));
}
public static double code(double d, double h, double l, double M, double D) {
double t_0 = Math.sqrt((d * ((d / h) / l)));
double tmp;
if (d <= -2.8e-146) {
tmp = ((Math.sqrt(-d) / Math.sqrt(-h)) * Math.sqrt((d / l))) * (1.0 + ((h * (Math.pow((0.5 * ((M * D) / d)), 2.0) / l)) * -0.5));
} else if (d <= -3.8e-219) {
tmp = (0.125 * (((Math.pow(D, 2.0) * Math.pow(M, 2.0)) / d) * Math.sqrt((h / Math.pow(l, 3.0))))) - (d * Math.sqrt((1.0 / (h * l))));
} else if (d <= 1.15e-220) {
tmp = t_0 + ((-0.125 * Math.pow((D * (M / d)), 2.0)) * ((h / l) * t_0));
} else {
tmp = (d / (Math.sqrt(h) * Math.sqrt(l))) * (1.0 + (-0.5 * (h * ((Math.pow((D / (d / M)), 2.0) / l) * 0.25))));
}
return tmp;
}
def code(d, h, l, M, D): return (math.pow((d / h), (1.0 / 2.0)) * math.pow((d / l), (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * math.pow(((M * D) / (2.0 * d)), 2.0)) * (h / l)))
def code(d, h, l, M, D): t_0 = math.sqrt((d * ((d / h) / l))) tmp = 0 if d <= -2.8e-146: tmp = ((math.sqrt(-d) / math.sqrt(-h)) * math.sqrt((d / l))) * (1.0 + ((h * (math.pow((0.5 * ((M * D) / d)), 2.0) / l)) * -0.5)) elif d <= -3.8e-219: tmp = (0.125 * (((math.pow(D, 2.0) * math.pow(M, 2.0)) / d) * math.sqrt((h / math.pow(l, 3.0))))) - (d * math.sqrt((1.0 / (h * l)))) elif d <= 1.15e-220: tmp = t_0 + ((-0.125 * math.pow((D * (M / d)), 2.0)) * ((h / l) * t_0)) else: tmp = (d / (math.sqrt(h) * math.sqrt(l))) * (1.0 + (-0.5 * (h * ((math.pow((D / (d / M)), 2.0) / l) * 0.25)))) return tmp
function code(d, h, l, M, D) return Float64(Float64((Float64(d / h) ^ Float64(1.0 / 2.0)) * (Float64(d / l) ^ Float64(1.0 / 2.0))) * Float64(1.0 - Float64(Float64(Float64(1.0 / 2.0) * (Float64(Float64(M * D) / Float64(2.0 * d)) ^ 2.0)) * Float64(h / l)))) end
function code(d, h, l, M, D) t_0 = sqrt(Float64(d * Float64(Float64(d / h) / l))) tmp = 0.0 if (d <= -2.8e-146) tmp = Float64(Float64(Float64(sqrt(Float64(-d)) / sqrt(Float64(-h))) * sqrt(Float64(d / l))) * Float64(1.0 + Float64(Float64(h * Float64((Float64(0.5 * Float64(Float64(M * D) / d)) ^ 2.0) / l)) * -0.5))); elseif (d <= -3.8e-219) tmp = Float64(Float64(0.125 * Float64(Float64(Float64((D ^ 2.0) * (M ^ 2.0)) / d) * sqrt(Float64(h / (l ^ 3.0))))) - Float64(d * sqrt(Float64(1.0 / Float64(h * l))))); elseif (d <= 1.15e-220) tmp = Float64(t_0 + Float64(Float64(-0.125 * (Float64(D * Float64(M / d)) ^ 2.0)) * Float64(Float64(h / l) * t_0))); else tmp = Float64(Float64(d / Float64(sqrt(h) * sqrt(l))) * Float64(1.0 + Float64(-0.5 * Float64(h * Float64(Float64((Float64(D / Float64(d / M)) ^ 2.0) / l) * 0.25))))); end return tmp end
function tmp = code(d, h, l, M, D) tmp = (((d / h) ^ (1.0 / 2.0)) * ((d / l) ^ (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * (((M * D) / (2.0 * d)) ^ 2.0)) * (h / l))); end
function tmp_2 = code(d, h, l, M, D) t_0 = sqrt((d * ((d / h) / l))); tmp = 0.0; if (d <= -2.8e-146) tmp = ((sqrt(-d) / sqrt(-h)) * sqrt((d / l))) * (1.0 + ((h * (((0.5 * ((M * D) / d)) ^ 2.0) / l)) * -0.5)); elseif (d <= -3.8e-219) tmp = (0.125 * ((((D ^ 2.0) * (M ^ 2.0)) / d) * sqrt((h / (l ^ 3.0))))) - (d * sqrt((1.0 / (h * l)))); elseif (d <= 1.15e-220) tmp = t_0 + ((-0.125 * ((D * (M / d)) ^ 2.0)) * ((h / l) * t_0)); else tmp = (d / (sqrt(h) * sqrt(l))) * (1.0 + (-0.5 * (h * ((((D / (d / M)) ^ 2.0) / l) * 0.25)))); end tmp_2 = tmp; end
code[d_, h_, l_, M_, D_] := N[(N[(N[Power[N[(d / h), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(d / l), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[(N[(1.0 / 2.0), $MachinePrecision] * N[Power[N[(N[(M * D), $MachinePrecision] / N[(2.0 * d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(h / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[d_, h_, l_, M_, D_] := Block[{t$95$0 = N[Sqrt[N[(d * N[(N[(d / h), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[d, -2.8e-146], N[(N[(N[(N[Sqrt[(-d)], $MachinePrecision] / N[Sqrt[(-h)], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(d / l), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(h * N[(N[Power[N[(0.5 * N[(N[(M * D), $MachinePrecision] / d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, -3.8e-219], N[(N[(0.125 * N[(N[(N[(N[Power[D, 2.0], $MachinePrecision] * N[Power[M, 2.0], $MachinePrecision]), $MachinePrecision] / d), $MachinePrecision] * N[Sqrt[N[(h / N[Power[l, 3.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(d * N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, 1.15e-220], N[(t$95$0 + N[(N[(-0.125 * N[Power[N[(D * N[(M / d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(h / l), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(d / N[(N[Sqrt[h], $MachinePrecision] * N[Sqrt[l], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(-0.5 * N[(h * N[(N[(N[Power[N[(D / N[(d / M), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / l), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\begin{array}{l}
t_0 := \sqrt{d \cdot \frac{\frac{d}{h}}{\ell}}\\
\mathbf{if}\;d \leq -2.8 \cdot 10^{-146}:\\
\;\;\;\;\left(\frac{\sqrt{-d}}{\sqrt{-h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 + \left(h \cdot \frac{{\left(0.5 \cdot \frac{M \cdot D}{d}\right)}^{2}}{\ell}\right) \cdot -0.5\right)\\
\mathbf{elif}\;d \leq -3.8 \cdot 10^{-219}:\\
\;\;\;\;0.125 \cdot \left(\frac{{D}^{2} \cdot {M}^{2}}{d} \cdot \sqrt{\frac{h}{{\ell}^{3}}}\right) - d \cdot \sqrt{\frac{1}{h \cdot \ell}}\\
\mathbf{elif}\;d \leq 1.15 \cdot 10^{-220}:\\
\;\;\;\;t_0 + \left(-0.125 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right) \cdot \left(\frac{h}{\ell} \cdot t_0\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{d}{\sqrt{h} \cdot \sqrt{\ell}} \cdot \left(1 + -0.5 \cdot \left(h \cdot \left(\frac{{\left(\frac{D}{\frac{d}{M}}\right)}^{2}}{\ell} \cdot 0.25\right)\right)\right)\\
\end{array}
Results
if d < -2.80000000000000003e-146Initial program 63.9%
Simplified63.7%
[Start]63.9 | \[ \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
|---|---|
metadata-eval [=>]63.9 | \[ \left({\left(\frac{d}{h}\right)}^{\color{blue}{0.5}} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
unpow1/2 [=>]63.9 | \[ \left(\color{blue}{\sqrt{\frac{d}{h}}} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
metadata-eval [=>]63.9 | \[ \left(\sqrt{\frac{d}{h}} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{0.5}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
unpow1/2 [=>]63.9 | \[ \left(\sqrt{\frac{d}{h}} \cdot \color{blue}{\sqrt{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
associate-*l* [=>]63.9 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - \color{blue}{\frac{1}{2} \cdot \left({\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{h}{\ell}\right)}\right)
\] |
metadata-eval [=>]63.9 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - \color{blue}{0.5} \cdot \left({\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{h}{\ell}\right)\right)
\] |
times-frac [=>]63.7 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \left({\color{blue}{\left(\frac{M}{2} \cdot \frac{D}{d}\right)}}^{2} \cdot \frac{h}{\ell}\right)\right)
\] |
Applied egg-rr63.1%
Simplified66.7%
[Start]63.1 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \left(e^{\mathsf{log1p}\left({\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2} \cdot \frac{h}{\ell}\right)} - 1\right)\right)
\] |
|---|---|
expm1-def [=>]63.1 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left({\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2} \cdot \frac{h}{\ell}\right)\right)}\right)
\] |
expm1-log1p [=>]63.7 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\left({\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2} \cdot \frac{h}{\ell}\right)}\right)
\] |
associate-*r/ [=>]65.6 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\frac{{\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2} \cdot h}{\ell}}\right)
\] |
associate-*l/ [<=]66.7 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\left(\frac{{\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2}}{\ell} \cdot h\right)}\right)
\] |
*-commutative [=>]66.7 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\left(h \cdot \frac{{\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2}}{\ell}\right)}\right)
\] |
*-commutative [=>]66.7 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \left(h \cdot \frac{{\left(M \cdot \color{blue}{\left(\frac{D}{d} \cdot 0.5\right)}\right)}^{2}}{\ell}\right)\right)
\] |
associate-*r* [=>]66.7 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \left(h \cdot \frac{{\color{blue}{\left(\left(M \cdot \frac{D}{d}\right) \cdot 0.5\right)}}^{2}}{\ell}\right)\right)
\] |
Applied egg-rr66.8%
Applied egg-rr78.5%
if -2.80000000000000003e-146 < d < -3.80000000000000025e-219Initial program 43.6%
Applied egg-rr35.3%
Taylor expanded in d around -inf 41.3%
if -3.80000000000000025e-219 < d < 1.1499999999999999e-220Initial program 34.5%
Applied egg-rr27.0%
Applied egg-rr27.1%
if 1.1499999999999999e-220 < d Initial program 63.0%
Simplified62.5%
[Start]63.0 | \[ \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
|---|---|
metadata-eval [=>]63.0 | \[ \left({\left(\frac{d}{h}\right)}^{\color{blue}{0.5}} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
unpow1/2 [=>]63.0 | \[ \left(\color{blue}{\sqrt{\frac{d}{h}}} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
metadata-eval [=>]63.0 | \[ \left(\sqrt{\frac{d}{h}} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{0.5}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
unpow1/2 [=>]63.0 | \[ \left(\sqrt{\frac{d}{h}} \cdot \color{blue}{\sqrt{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\] |
associate-*l* [=>]63.0 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - \color{blue}{\frac{1}{2} \cdot \left({\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{h}{\ell}\right)}\right)
\] |
metadata-eval [=>]63.0 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - \color{blue}{0.5} \cdot \left({\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{h}{\ell}\right)\right)
\] |
times-frac [=>]62.5 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \left({\color{blue}{\left(\frac{M}{2} \cdot \frac{D}{d}\right)}}^{2} \cdot \frac{h}{\ell}\right)\right)
\] |
Applied egg-rr61.8%
Simplified65.0%
[Start]61.8 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \left(e^{\mathsf{log1p}\left({\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2} \cdot \frac{h}{\ell}\right)} - 1\right)\right)
\] |
|---|---|
expm1-def [=>]61.8 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left({\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2} \cdot \frac{h}{\ell}\right)\right)}\right)
\] |
expm1-log1p [=>]62.5 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\left({\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2} \cdot \frac{h}{\ell}\right)}\right)
\] |
associate-*r/ [=>]64.2 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\frac{{\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2} \cdot h}{\ell}}\right)
\] |
associate-*l/ [<=]65.0 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\left(\frac{{\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2}}{\ell} \cdot h\right)}\right)
\] |
*-commutative [=>]65.0 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \color{blue}{\left(h \cdot \frac{{\left(M \cdot \left(0.5 \cdot \frac{D}{d}\right)\right)}^{2}}{\ell}\right)}\right)
\] |
*-commutative [=>]65.0 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \left(h \cdot \frac{{\left(M \cdot \color{blue}{\left(\frac{D}{d} \cdot 0.5\right)}\right)}^{2}}{\ell}\right)\right)
\] |
associate-*r* [=>]65.0 | \[ \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right) \cdot \left(1 - 0.5 \cdot \left(h \cdot \frac{{\color{blue}{\left(\left(M \cdot \frac{D}{d}\right) \cdot 0.5\right)}}^{2}}{\ell}\right)\right)
\] |
Applied egg-rr84.8%
Simplified84.7%
[Start]84.8 | \[ \frac{d}{\sqrt{h} \cdot \sqrt{\ell}} + \frac{d}{\sqrt{h} \cdot \sqrt{\ell}} \cdot \left(\left(-0.5 \cdot h\right) \cdot \frac{{\left(\frac{M}{\frac{d}{D}}\right)}^{2}}{\frac{\ell}{0.25}}\right)
\] |
|---|---|
*-lft-identity [<=]84.8 | \[ \color{blue}{1 \cdot \frac{d}{\sqrt{h} \cdot \sqrt{\ell}}} + \frac{d}{\sqrt{h} \cdot \sqrt{\ell}} \cdot \left(\left(-0.5 \cdot h\right) \cdot \frac{{\left(\frac{M}{\frac{d}{D}}\right)}^{2}}{\frac{\ell}{0.25}}\right)
\] |
*-commutative [<=]84.8 | \[ 1 \cdot \frac{d}{\sqrt{h} \cdot \sqrt{\ell}} + \color{blue}{\left(\left(-0.5 \cdot h\right) \cdot \frac{{\left(\frac{M}{\frac{d}{D}}\right)}^{2}}{\frac{\ell}{0.25}}\right) \cdot \frac{d}{\sqrt{h} \cdot \sqrt{\ell}}}
\] |
distribute-rgt-in [<=]84.8 | \[ \color{blue}{\frac{d}{\sqrt{h} \cdot \sqrt{\ell}} \cdot \left(1 + \left(-0.5 \cdot h\right) \cdot \frac{{\left(\frac{M}{\frac{d}{D}}\right)}^{2}}{\frac{\ell}{0.25}}\right)}
\] |
associate-*l* [=>]84.8 | \[ \frac{d}{\sqrt{h} \cdot \sqrt{\ell}} \cdot \left(1 + \color{blue}{-0.5 \cdot \left(h \cdot \frac{{\left(\frac{M}{\frac{d}{D}}\right)}^{2}}{\frac{\ell}{0.25}}\right)}\right)
\] |
associate-/r/ [=>]84.8 | \[ \frac{d}{\sqrt{h} \cdot \sqrt{\ell}} \cdot \left(1 + -0.5 \cdot \left(h \cdot \color{blue}{\left(\frac{{\left(\frac{M}{\frac{d}{D}}\right)}^{2}}{\ell} \cdot 0.25\right)}\right)\right)
\] |
associate-/l* [<=]85.1 | \[ \frac{d}{\sqrt{h} \cdot \sqrt{\ell}} \cdot \left(1 + -0.5 \cdot \left(h \cdot \left(\frac{{\color{blue}{\left(\frac{M \cdot D}{d}\right)}}^{2}}{\ell} \cdot 0.25\right)\right)\right)
\] |
*-commutative [<=]85.1 | \[ \frac{d}{\sqrt{h} \cdot \sqrt{\ell}} \cdot \left(1 + -0.5 \cdot \left(h \cdot \left(\frac{{\left(\frac{\color{blue}{D \cdot M}}{d}\right)}^{2}}{\ell} \cdot 0.25\right)\right)\right)
\] |
associate-/l* [=>]84.7 | \[ \frac{d}{\sqrt{h} \cdot \sqrt{\ell}} \cdot \left(1 + -0.5 \cdot \left(h \cdot \left(\frac{{\color{blue}{\left(\frac{D}{\frac{d}{M}}\right)}}^{2}}{\ell} \cdot 0.25\right)\right)\right)
\] |
Final simplification73.0%
| Alternative 1 | |
|---|---|
| Accuracy | 72.3% |
| Cost | 27536 |
| Alternative 2 | |
|---|---|
| Accuracy | 72.2% |
| Cost | 27536 |
| Alternative 3 | |
|---|---|
| Accuracy | 74.2% |
| Cost | 27404 |
| Alternative 4 | |
|---|---|
| Accuracy | 74.1% |
| Cost | 27404 |
| Alternative 5 | |
|---|---|
| Accuracy | 72.3% |
| Cost | 27396 |
| Alternative 6 | |
|---|---|
| Accuracy | 72.7% |
| Cost | 27396 |
| Alternative 7 | |
|---|---|
| Accuracy | 72.3% |
| Cost | 21328 |
| Alternative 8 | |
|---|---|
| Accuracy | 71.2% |
| Cost | 21136 |
| Alternative 9 | |
|---|---|
| Accuracy | 71.0% |
| Cost | 21136 |
| Alternative 10 | |
|---|---|
| Accuracy | 71.9% |
| Cost | 21136 |
| Alternative 11 | |
|---|---|
| Accuracy | 72.1% |
| Cost | 21136 |
| Alternative 12 | |
|---|---|
| Accuracy | 71.8% |
| Cost | 21136 |
| Alternative 13 | |
|---|---|
| Accuracy | 71.8% |
| Cost | 21136 |
| Alternative 14 | |
|---|---|
| Accuracy | 71.7% |
| Cost | 21136 |
| Alternative 15 | |
|---|---|
| Accuracy | 65.7% |
| Cost | 15444 |
| Alternative 16 | |
|---|---|
| Accuracy | 67.3% |
| Cost | 15444 |
| Alternative 17 | |
|---|---|
| Accuracy | 65.1% |
| Cost | 14920 |
| Alternative 18 | |
|---|---|
| Accuracy | 66.1% |
| Cost | 14920 |
| Alternative 19 | |
|---|---|
| Accuracy | 64.1% |
| Cost | 14864 |
| Alternative 20 | |
|---|---|
| Accuracy | 64.1% |
| Cost | 14864 |
| Alternative 21 | |
|---|---|
| Accuracy | 64.1% |
| Cost | 14864 |
| Alternative 22 | |
|---|---|
| Accuracy | 64.3% |
| Cost | 13776 |
| Alternative 23 | |
|---|---|
| Accuracy | 64.1% |
| Cost | 13252 |
| Alternative 24 | |
|---|---|
| Accuracy | 57.6% |
| Cost | 7044 |
| Alternative 25 | |
|---|---|
| Accuracy | 48.4% |
| Cost | 6980 |
| Alternative 26 | |
|---|---|
| Accuracy | 48.2% |
| Cost | 6980 |
| Alternative 27 | |
|---|---|
| Accuracy | 48.3% |
| Cost | 6980 |
| Alternative 28 | |
|---|---|
| Accuracy | 31.2% |
| Cost | 6720 |
herbie shell --seed 2023122
(FPCore (d h l M D)
:name "Henrywood and Agarwal, Equation (12)"
:precision binary64
(* (* (pow (/ d h) (/ 1.0 2.0)) (pow (/ d l) (/ 1.0 2.0))) (- 1.0 (* (* (/ 1.0 2.0) (pow (/ (* M D) (* 2.0 d)) 2.0)) (/ h l)))))