
(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)))))
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)));
}
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
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)));
}
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)))
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 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
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]
\begin{array}{l}
\\
\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)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 12 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(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)))))
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)));
}
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
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)));
}
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)))
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 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
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]
\begin{array}{l}
\\
\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)
\end{array}
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
:precision binary64
(if (<= d -1e+36)
(*
(-
1.0
(* (* (* (* 0.25 D_m) (/ M_m d)) h) (/ (* D_m (* M_m (/ 0.5 d))) l)))
(* (sqrt (/ 1.0 (* h l))) (- d)))
(if (<= d -5e-310)
(*
(- 1.0 (* (/ h l) (* (pow (/ (* D_m M_m) (* 2.0 d)) 2.0) (/ 1.0 2.0))))
(* (* (sqrt (/ -1.0 l)) (sqrt (- d))) (pow (/ d h) (/ 1.0 2.0))))
(if (<= d 3.8e-20)
(/
(fma
D_m
(* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
(/ d (sqrt h)))
(sqrt l))
(/
(*
(fma
(* (sqrt h) -0.125)
(* (/ (/ D_m d) d) (/ (* (* M_m M_m) D_m) l))
(sqrt (/ 1.0 h)))
d)
(sqrt l))))))D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double tmp;
if (d <= -1e+36) {
tmp = (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l))) * (sqrt((1.0 / (h * l))) * -d);
} else if (d <= -5e-310) {
tmp = (1.0 - ((h / l) * (pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0)))) * ((sqrt((-1.0 / l)) * sqrt(-d)) * pow((d / h), (1.0 / 2.0)));
} else if (d <= 3.8e-20) {
tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
} else {
tmp = (fma((sqrt(h) * -0.125), (((D_m / d) / d) * (((M_m * M_m) * D_m) / l)), sqrt((1.0 / h))) * d) / sqrt(l);
}
return tmp;
}
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) tmp = 0.0 if (d <= -1e+36) tmp = Float64(Float64(1.0 - Float64(Float64(Float64(Float64(0.25 * D_m) * Float64(M_m / d)) * h) * Float64(Float64(D_m * Float64(M_m * Float64(0.5 / d))) / l))) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d))); elseif (d <= -5e-310) tmp = Float64(Float64(1.0 - Float64(Float64(h / l) * Float64((Float64(Float64(D_m * M_m) / Float64(2.0 * d)) ^ 2.0) * Float64(1.0 / 2.0)))) * Float64(Float64(sqrt(Float64(-1.0 / l)) * sqrt(Float64(-d))) * (Float64(d / h) ^ Float64(1.0 / 2.0)))); elseif (d <= 3.8e-20) tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l)); else tmp = Float64(Float64(fma(Float64(sqrt(h) * -0.125), Float64(Float64(Float64(D_m / d) / d) * Float64(Float64(Float64(M_m * M_m) * D_m) / l)), sqrt(Float64(1.0 / h))) * d) / sqrt(l)); end return tmp end
D_m = N[Abs[D], $MachinePrecision] M_m = N[Abs[M], $MachinePrecision] NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[d, -1e+36], N[(N[(1.0 - N[(N[(N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision] * h), $MachinePrecision] * N[(N[(D$95$m * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, -5e-310], N[(N[(1.0 - N[(N[(h / l), $MachinePrecision] * N[(N[Power[N[(N[(D$95$m * M$95$m), $MachinePrecision] / N[(2.0 * d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[N[(-1.0 / l), $MachinePrecision]], $MachinePrecision] * N[Sqrt[(-d)], $MachinePrecision]), $MachinePrecision] * N[Power[N[(d / h), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, 3.8e-20], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[h], $MachinePrecision] * -0.125), $MachinePrecision] * N[(N[(N[(D$95$m / d), $MachinePrecision] / d), $MachinePrecision] * N[(N[(N[(M$95$m * M$95$m), $MachinePrecision] * D$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 / h), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
\mathbf{if}\;d \leq -1 \cdot 10^{+36}:\\
\;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\
\mathbf{elif}\;d \leq -5 \cdot 10^{-310}:\\
\;\;\;\;\left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D\_m \cdot M\_m}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right) \cdot \left(\left(\sqrt{\frac{-1}{\ell}} \cdot \sqrt{-d}\right) \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right)\\
\mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\
\;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D\_m}{d}}{d} \cdot \frac{\left(M\_m \cdot M\_m\right) \cdot D\_m}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\
\end{array}
\end{array}
if d < -1.00000000000000004e36Initial program 70.1%
lift-*.f64N/A
lift-/.f64N/A
clear-numN/A
un-div-invN/A
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
associate-*l*N/A
div-invN/A
times-fracN/A
lower-*.f64N/A
Applied rewrites75.4%
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-pow.f64N/A
unpow1/2N/A
lift-/.f64N/A
sqrt-undivN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
clear-numN/A
un-div-invN/A
clear-numN/A
lower-/.f64N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-undivN/A
lower-sqrt.f64N/A
lower-/.f6476.4
lift-/.f64N/A
metadata-eval76.4
lift-pow.f64N/A
unpow1/2N/A
lower-sqrt.f6476.4
Applied rewrites76.4%
lift-/.f64N/A
div-invN/A
lift-pow.f64N/A
unpow-1N/A
remove-double-divN/A
lower-*.f6476.4
lift-*.f64N/A
*-commutativeN/A
lower-*.f6476.4
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*r*N/A
metadata-evalN/A
lower-*.f6476.4
Applied rewrites76.4%
Taylor expanded in d around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-*.f6496.5
Applied rewrites96.5%
if -1.00000000000000004e36 < d < -4.999999999999985e-310Initial program 74.6%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
frac-2negN/A
div-invN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
neg-mul-1N/A
associate-/r*N/A
metadata-evalN/A
lower-/.f6483.5
Applied rewrites83.5%
if -4.999999999999985e-310 < d < 3.7999999999999998e-20Initial program 61.2%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6464.8
Applied rewrites64.8%
Applied rewrites54.1%
Taylor expanded in l around inf
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites64.0%
Applied rewrites78.2%
if 3.7999999999999998e-20 < d Initial program 76.4%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6477.7
Applied rewrites77.7%
Applied rewrites73.6%
Taylor expanded in d around inf
*-commutativeN/A
lower-*.f64N/A
Applied rewrites77.3%
Final simplification83.7%
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
:precision binary64
(let* ((t_0
(*
(* (pow (/ d l) (/ 1.0 2.0)) (pow (/ d h) (/ 1.0 2.0)))
(-
1.0
(* (/ h l) (* (pow (/ (* D_m M_m) (* 2.0 d)) 2.0) (/ 1.0 2.0))))))
(t_1
(/
(* (* (/ (* (sqrt h) M_m) d) (/ M_m l)) (* (* D_m D_m) -0.125))
(sqrt l))))
(if (<= t_0 -4e-66)
t_1
(if (<= t_0 1e+238)
(* 1.0 (* (sqrt (/ d h)) (sqrt (/ d l))))
(if (<= t_0 INFINITY) (* (/ (sqrt (* d d)) (sqrt (* h l))) 1.0) t_1)))))D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double t_0 = (pow((d / l), (1.0 / 2.0)) * pow((d / h), (1.0 / 2.0))) * (1.0 - ((h / l) * (pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0))));
double t_1 = ((((sqrt(h) * M_m) / d) * (M_m / l)) * ((D_m * D_m) * -0.125)) / sqrt(l);
double tmp;
if (t_0 <= -4e-66) {
tmp = t_1;
} else if (t_0 <= 1e+238) {
tmp = 1.0 * (sqrt((d / h)) * sqrt((d / l)));
} else if (t_0 <= ((double) INFINITY)) {
tmp = (sqrt((d * d)) / sqrt((h * l))) * 1.0;
} else {
tmp = t_1;
}
return tmp;
}
D_m = Math.abs(D);
M_m = Math.abs(M);
assert d < h && h < l && l < M_m && M_m < D_m;
public static double code(double d, double h, double l, double M_m, double D_m) {
double t_0 = (Math.pow((d / l), (1.0 / 2.0)) * Math.pow((d / h), (1.0 / 2.0))) * (1.0 - ((h / l) * (Math.pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0))));
double t_1 = ((((Math.sqrt(h) * M_m) / d) * (M_m / l)) * ((D_m * D_m) * -0.125)) / Math.sqrt(l);
double tmp;
if (t_0 <= -4e-66) {
tmp = t_1;
} else if (t_0 <= 1e+238) {
tmp = 1.0 * (Math.sqrt((d / h)) * Math.sqrt((d / l)));
} else if (t_0 <= Double.POSITIVE_INFINITY) {
tmp = (Math.sqrt((d * d)) / Math.sqrt((h * l))) * 1.0;
} else {
tmp = t_1;
}
return tmp;
}
D_m = math.fabs(D) M_m = math.fabs(M) [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m]) def code(d, h, l, M_m, D_m): t_0 = (math.pow((d / l), (1.0 / 2.0)) * math.pow((d / h), (1.0 / 2.0))) * (1.0 - ((h / l) * (math.pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0)))) t_1 = ((((math.sqrt(h) * M_m) / d) * (M_m / l)) * ((D_m * D_m) * -0.125)) / math.sqrt(l) tmp = 0 if t_0 <= -4e-66: tmp = t_1 elif t_0 <= 1e+238: tmp = 1.0 * (math.sqrt((d / h)) * math.sqrt((d / l))) elif t_0 <= math.inf: tmp = (math.sqrt((d * d)) / math.sqrt((h * l))) * 1.0 else: tmp = t_1 return tmp
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) t_0 = Float64(Float64((Float64(d / l) ^ Float64(1.0 / 2.0)) * (Float64(d / h) ^ Float64(1.0 / 2.0))) * Float64(1.0 - Float64(Float64(h / l) * Float64((Float64(Float64(D_m * M_m) / Float64(2.0 * d)) ^ 2.0) * Float64(1.0 / 2.0))))) t_1 = Float64(Float64(Float64(Float64(Float64(sqrt(h) * M_m) / d) * Float64(M_m / l)) * Float64(Float64(D_m * D_m) * -0.125)) / sqrt(l)) tmp = 0.0 if (t_0 <= -4e-66) tmp = t_1; elseif (t_0 <= 1e+238) tmp = Float64(1.0 * Float64(sqrt(Float64(d / h)) * sqrt(Float64(d / l)))); elseif (t_0 <= Inf) tmp = Float64(Float64(sqrt(Float64(d * d)) / sqrt(Float64(h * l))) * 1.0); else tmp = t_1; end return tmp end
D_m = abs(D);
M_m = abs(M);
d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
function tmp_2 = code(d, h, l, M_m, D_m)
t_0 = (((d / l) ^ (1.0 / 2.0)) * ((d / h) ^ (1.0 / 2.0))) * (1.0 - ((h / l) * ((((D_m * M_m) / (2.0 * d)) ^ 2.0) * (1.0 / 2.0))));
t_1 = ((((sqrt(h) * M_m) / d) * (M_m / l)) * ((D_m * D_m) * -0.125)) / sqrt(l);
tmp = 0.0;
if (t_0 <= -4e-66)
tmp = t_1;
elseif (t_0 <= 1e+238)
tmp = 1.0 * (sqrt((d / h)) * sqrt((d / l)));
elseif (t_0 <= Inf)
tmp = (sqrt((d * d)) / sqrt((h * l))) * 1.0;
else
tmp = t_1;
end
tmp_2 = tmp;
end
D_m = N[Abs[D], $MachinePrecision]
M_m = N[Abs[M], $MachinePrecision]
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[(N[(N[Power[N[(d / l), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(d / h), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[(h / l), $MachinePrecision] * N[(N[Power[N[(N[(D$95$m * M$95$m), $MachinePrecision] / N[(2.0 * d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[Sqrt[h], $MachinePrecision] * M$95$m), $MachinePrecision] / d), $MachinePrecision] * N[(M$95$m / l), $MachinePrecision]), $MachinePrecision] * N[(N[(D$95$m * D$95$m), $MachinePrecision] * -0.125), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -4e-66], t$95$1, If[LessEqual[t$95$0, 1e+238], N[(1.0 * N[(N[Sqrt[N[(d / h), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(d / l), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$0, Infinity], N[(N[(N[Sqrt[N[(d * d), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(h * l), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision], t$95$1]]]]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
t_0 := \left({\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D\_m \cdot M\_m}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right)\\
t_1 := \frac{\left(\frac{\sqrt{h} \cdot M\_m}{d} \cdot \frac{M\_m}{\ell}\right) \cdot \left(\left(D\_m \cdot D\_m\right) \cdot -0.125\right)}{\sqrt{\ell}}\\
\mathbf{if}\;t\_0 \leq -4 \cdot 10^{-66}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;t\_0 \leq 10^{+238}:\\
\;\;\;\;1 \cdot \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right)\\
\mathbf{elif}\;t\_0 \leq \infty:\\
\;\;\;\;\frac{\sqrt{d \cdot d}}{\sqrt{h \cdot \ell}} \cdot 1\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if (*.f64 (*.f64 (pow.f64 (/.f64 d h) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64))) (pow.f64 (/.f64 d l) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)))) (-.f64 #s(literal 1 binary64) (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)) (pow.f64 (/.f64 (*.f64 M D) (*.f64 #s(literal 2 binary64) d)) #s(literal 2 binary64))) (/.f64 h l)))) < -3.9999999999999999e-66 or +inf.0 < (*.f64 (*.f64 (pow.f64 (/.f64 d h) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64))) (pow.f64 (/.f64 d l) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)))) (-.f64 #s(literal 1 binary64) (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)) (pow.f64 (/.f64 (*.f64 M D) (*.f64 #s(literal 2 binary64) d)) #s(literal 2 binary64))) (/.f64 h l)))) Initial program 64.1%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6434.5
Applied rewrites34.5%
Applied rewrites29.5%
Taylor expanded in l around inf
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites34.2%
Taylor expanded in h around -inf
Applied rewrites41.6%
if -3.9999999999999999e-66 < (*.f64 (*.f64 (pow.f64 (/.f64 d h) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64))) (pow.f64 (/.f64 d l) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)))) (-.f64 #s(literal 1 binary64) (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)) (pow.f64 (/.f64 (*.f64 M D) (*.f64 #s(literal 2 binary64) d)) #s(literal 2 binary64))) (/.f64 h l)))) < 1e238Initial program 90.4%
Taylor expanded in d around inf
Applied rewrites89.3%
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-pow.f64N/A
unpow1/2N/A
lift-/.f64N/A
sqrt-undivN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
lift-/.f64N/A
*-commutativeN/A
lower-*.f6443.9
lift-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-undivN/A
lift-/.f64N/A
lower-sqrt.f6489.3
lift-/.f64N/A
metadata-eval89.3
lift-pow.f64N/A
unpow1/2N/A
lower-sqrt.f6489.3
Applied rewrites89.3%
if 1e238 < (*.f64 (*.f64 (pow.f64 (/.f64 d h) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64))) (pow.f64 (/.f64 d l) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)))) (-.f64 #s(literal 1 binary64) (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)) (pow.f64 (/.f64 (*.f64 M D) (*.f64 #s(literal 2 binary64) d)) #s(literal 2 binary64))) (/.f64 h l)))) < +inf.0Initial program 49.8%
Taylor expanded in d around inf
Applied rewrites49.8%
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-pow.f64N/A
pow-prod-downN/A
unpow1/2N/A
lift-/.f64N/A
lift-/.f64N/A
frac-timesN/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-*.f6463.9
Applied rewrites63.9%
Final simplification61.0%
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
:precision binary64
(if (<= d -1e+36)
(*
(-
1.0
(* (* (* (* 0.25 D_m) (/ M_m d)) h) (/ (* D_m (* M_m (/ 0.5 d))) l)))
(* (sqrt (/ 1.0 (* h l))) (- d)))
(if (<= d -5e-310)
(*
(* (/ (sqrt (- d)) (sqrt (- l))) (pow (/ d h) (/ 1.0 2.0)))
(- 1.0 (* (/ h l) (* (pow (/ (* D_m M_m) (* 2.0 d)) 2.0) (/ 1.0 2.0)))))
(if (<= d 3.8e-20)
(/
(fma
D_m
(* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
(/ d (sqrt h)))
(sqrt l))
(/
(*
(fma
(* (sqrt h) -0.125)
(* (/ (/ D_m d) d) (/ (* (* M_m M_m) D_m) l))
(sqrt (/ 1.0 h)))
d)
(sqrt l))))))D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double tmp;
if (d <= -1e+36) {
tmp = (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l))) * (sqrt((1.0 / (h * l))) * -d);
} else if (d <= -5e-310) {
tmp = ((sqrt(-d) / sqrt(-l)) * pow((d / h), (1.0 / 2.0))) * (1.0 - ((h / l) * (pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0))));
} else if (d <= 3.8e-20) {
tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
} else {
tmp = (fma((sqrt(h) * -0.125), (((D_m / d) / d) * (((M_m * M_m) * D_m) / l)), sqrt((1.0 / h))) * d) / sqrt(l);
}
return tmp;
}
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) tmp = 0.0 if (d <= -1e+36) tmp = Float64(Float64(1.0 - Float64(Float64(Float64(Float64(0.25 * D_m) * Float64(M_m / d)) * h) * Float64(Float64(D_m * Float64(M_m * Float64(0.5 / d))) / l))) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d))); elseif (d <= -5e-310) tmp = Float64(Float64(Float64(sqrt(Float64(-d)) / sqrt(Float64(-l))) * (Float64(d / h) ^ Float64(1.0 / 2.0))) * Float64(1.0 - Float64(Float64(h / l) * Float64((Float64(Float64(D_m * M_m) / Float64(2.0 * d)) ^ 2.0) * Float64(1.0 / 2.0))))); elseif (d <= 3.8e-20) tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l)); else tmp = Float64(Float64(fma(Float64(sqrt(h) * -0.125), Float64(Float64(Float64(D_m / d) / d) * Float64(Float64(Float64(M_m * M_m) * D_m) / l)), sqrt(Float64(1.0 / h))) * d) / sqrt(l)); end return tmp end
D_m = N[Abs[D], $MachinePrecision] M_m = N[Abs[M], $MachinePrecision] NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[d, -1e+36], N[(N[(1.0 - N[(N[(N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision] * h), $MachinePrecision] * N[(N[(D$95$m * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, -5e-310], N[(N[(N[(N[Sqrt[(-d)], $MachinePrecision] / N[Sqrt[(-l)], $MachinePrecision]), $MachinePrecision] * N[Power[N[(d / h), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[(h / l), $MachinePrecision] * N[(N[Power[N[(N[(D$95$m * M$95$m), $MachinePrecision] / N[(2.0 * d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, 3.8e-20], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[h], $MachinePrecision] * -0.125), $MachinePrecision] * N[(N[(N[(D$95$m / d), $MachinePrecision] / d), $MachinePrecision] * N[(N[(N[(M$95$m * M$95$m), $MachinePrecision] * D$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 / h), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
\mathbf{if}\;d \leq -1 \cdot 10^{+36}:\\
\;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\
\mathbf{elif}\;d \leq -5 \cdot 10^{-310}:\\
\;\;\;\;\left(\frac{\sqrt{-d}}{\sqrt{-\ell}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D\_m \cdot M\_m}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right)\\
\mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\
\;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D\_m}{d}}{d} \cdot \frac{\left(M\_m \cdot M\_m\right) \cdot D\_m}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\
\end{array}
\end{array}
if d < -1.00000000000000004e36Initial program 70.1%
lift-*.f64N/A
lift-/.f64N/A
clear-numN/A
un-div-invN/A
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
associate-*l*N/A
div-invN/A
times-fracN/A
lower-*.f64N/A
Applied rewrites75.4%
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-pow.f64N/A
unpow1/2N/A
lift-/.f64N/A
sqrt-undivN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
clear-numN/A
un-div-invN/A
clear-numN/A
lower-/.f64N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-undivN/A
lower-sqrt.f64N/A
lower-/.f6476.4
lift-/.f64N/A
metadata-eval76.4
lift-pow.f64N/A
unpow1/2N/A
lower-sqrt.f6476.4
Applied rewrites76.4%
lift-/.f64N/A
div-invN/A
lift-pow.f64N/A
unpow-1N/A
remove-double-divN/A
lower-*.f6476.4
lift-*.f64N/A
*-commutativeN/A
lower-*.f6476.4
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*r*N/A
metadata-evalN/A
lower-*.f6476.4
Applied rewrites76.4%
Taylor expanded in d around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-*.f6496.5
Applied rewrites96.5%
if -1.00000000000000004e36 < d < -4.999999999999985e-310Initial program 74.6%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
frac-2negN/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-neg.f6483.5
Applied rewrites83.5%
if -4.999999999999985e-310 < d < 3.7999999999999998e-20Initial program 61.2%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6464.8
Applied rewrites64.8%
Applied rewrites54.1%
Taylor expanded in l around inf
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites64.0%
Applied rewrites78.2%
if 3.7999999999999998e-20 < d Initial program 76.4%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6477.7
Applied rewrites77.7%
Applied rewrites73.6%
Taylor expanded in d around inf
*-commutativeN/A
lower-*.f64N/A
Applied rewrites77.3%
Final simplification83.7%
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
:precision binary64
(if (<= d -5e-310)
(*
(fma
(* (/ (* (- D_m) (* M_m (/ 0.5 d))) l) (* (* 0.25 D_m) (/ M_m d)))
h
1.0)
(* (sqrt (/ 1.0 (* h l))) (- d)))
(if (<= d 3.8e-20)
(/
(fma
D_m
(* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
(/ d (sqrt h)))
(sqrt l))
(/
(*
(fma
(* (sqrt h) -0.125)
(* (/ (/ D_m d) d) (/ (* (* M_m M_m) D_m) l))
(sqrt (/ 1.0 h)))
d)
(sqrt l)))))D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double tmp;
if (d <= -5e-310) {
tmp = fma((((-D_m * (M_m * (0.5 / d))) / l) * ((0.25 * D_m) * (M_m / d))), h, 1.0) * (sqrt((1.0 / (h * l))) * -d);
} else if (d <= 3.8e-20) {
tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
} else {
tmp = (fma((sqrt(h) * -0.125), (((D_m / d) / d) * (((M_m * M_m) * D_m) / l)), sqrt((1.0 / h))) * d) / sqrt(l);
}
return tmp;
}
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) tmp = 0.0 if (d <= -5e-310) tmp = Float64(fma(Float64(Float64(Float64(Float64(-D_m) * Float64(M_m * Float64(0.5 / d))) / l) * Float64(Float64(0.25 * D_m) * Float64(M_m / d))), h, 1.0) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d))); elseif (d <= 3.8e-20) tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l)); else tmp = Float64(Float64(fma(Float64(sqrt(h) * -0.125), Float64(Float64(Float64(D_m / d) / d) * Float64(Float64(Float64(M_m * M_m) * D_m) / l)), sqrt(Float64(1.0 / h))) * d) / sqrt(l)); end return tmp end
D_m = N[Abs[D], $MachinePrecision] M_m = N[Abs[M], $MachinePrecision] NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[d, -5e-310], N[(N[(N[(N[(N[((-D$95$m) * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * h + 1.0), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, 3.8e-20], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[h], $MachinePrecision] * -0.125), $MachinePrecision] * N[(N[(N[(D$95$m / d), $MachinePrecision] / d), $MachinePrecision] * N[(N[(N[(M$95$m * M$95$m), $MachinePrecision] * D$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 / h), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
\mathbf{if}\;d \leq -5 \cdot 10^{-310}:\\
\;\;\;\;\mathsf{fma}\left(\frac{\left(-D\_m\right) \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell} \cdot \left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right), h, 1\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\
\mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\
\;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D\_m}{d}}{d} \cdot \frac{\left(M\_m \cdot M\_m\right) \cdot D\_m}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\
\end{array}
\end{array}
if d < -4.999999999999985e-310Initial program 72.4%
lift-*.f64N/A
lift-/.f64N/A
clear-numN/A
un-div-invN/A
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
associate-*l*N/A
div-invN/A
times-fracN/A
lower-*.f64N/A
Applied rewrites75.1%
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-pow.f64N/A
unpow1/2N/A
lift-/.f64N/A
sqrt-undivN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
clear-numN/A
un-div-invN/A
clear-numN/A
lower-/.f64N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-undivN/A
lower-sqrt.f64N/A
lower-/.f6474.1
lift-/.f64N/A
metadata-eval74.1
lift-pow.f64N/A
unpow1/2N/A
lower-sqrt.f6474.1
Applied rewrites74.1%
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-/.f64N/A
div-invN/A
lift-pow.f64N/A
unpow-1N/A
remove-double-divN/A
associate-*r*N/A
Applied rewrites74.1%
Taylor expanded in d around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-*.f6484.0
Applied rewrites84.0%
if -4.999999999999985e-310 < d < 3.7999999999999998e-20Initial program 61.2%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6464.8
Applied rewrites64.8%
Applied rewrites54.1%
Taylor expanded in l around inf
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites64.0%
Applied rewrites78.2%
if 3.7999999999999998e-20 < d Initial program 76.4%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6477.7
Applied rewrites77.7%
Applied rewrites73.6%
Taylor expanded in d around inf
*-commutativeN/A
lower-*.f64N/A
Applied rewrites77.3%
Final simplification80.9%
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
:precision binary64
(let* ((t_0 (sqrt (/ 1.0 (* h l)))))
(if (<= l -1.7e-220)
(* t_0 (- d))
(if (<= l -5e-310)
(* t_0 d)
(/
(fma
D_m
(* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
(/ d (sqrt h)))
(sqrt l))))))D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double t_0 = sqrt((1.0 / (h * l)));
double tmp;
if (l <= -1.7e-220) {
tmp = t_0 * -d;
} else if (l <= -5e-310) {
tmp = t_0 * d;
} else {
tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
}
return tmp;
}
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) t_0 = sqrt(Float64(1.0 / Float64(h * l))) tmp = 0.0 if (l <= -1.7e-220) tmp = Float64(t_0 * Float64(-d)); elseif (l <= -5e-310) tmp = Float64(t_0 * d); else tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l)); end return tmp end
D_m = N[Abs[D], $MachinePrecision]
M_m = N[Abs[M], $MachinePrecision]
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[l, -1.7e-220], N[(t$95$0 * (-d)), $MachinePrecision], If[LessEqual[l, -5e-310], N[(t$95$0 * d), $MachinePrecision], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\
\mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\
\;\;\;\;t\_0 \cdot \left(-d\right)\\
\mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\
\;\;\;\;t\_0 \cdot d\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
\end{array}
\end{array}
if l < -1.69999999999999997e-220Initial program 70.5%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
frac-2negN/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-neg.f6478.0
Applied rewrites78.0%
Taylor expanded in d around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6461.4
Applied rewrites61.4%
if -1.69999999999999997e-220 < l < -4.999999999999985e-310Initial program 80.2%
Taylor expanded in d around inf
Applied rewrites16.6%
Taylor expanded in d around -inf
associate-*r*N/A
mul-1-negN/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
remove-double-negN/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6433.9
Applied rewrites33.9%
if -4.999999999999985e-310 < l Initial program 69.0%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6471.5
Applied rewrites71.5%
Applied rewrites64.2%
Taylor expanded in l around inf
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites63.1%
Applied rewrites77.1%
Final simplification66.6%
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
:precision binary64
(if (<= l -5e-310)
(*
(fma
(* (/ (* (- D_m) (* M_m (/ 0.5 d))) l) (* (* 0.25 D_m) (/ M_m d)))
h
1.0)
(* (sqrt (/ 1.0 (* h l))) (- d)))
(/
(fma
D_m
(* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
(/ d (sqrt h)))
(sqrt l))))D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double tmp;
if (l <= -5e-310) {
tmp = fma((((-D_m * (M_m * (0.5 / d))) / l) * ((0.25 * D_m) * (M_m / d))), h, 1.0) * (sqrt((1.0 / (h * l))) * -d);
} else {
tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
}
return tmp;
}
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) tmp = 0.0 if (l <= -5e-310) tmp = Float64(fma(Float64(Float64(Float64(Float64(-D_m) * Float64(M_m * Float64(0.5 / d))) / l) * Float64(Float64(0.25 * D_m) * Float64(M_m / d))), h, 1.0) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d))); else tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l)); end return tmp end
D_m = N[Abs[D], $MachinePrecision] M_m = N[Abs[M], $MachinePrecision] NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[l, -5e-310], N[(N[(N[(N[(N[((-D$95$m) * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * h + 1.0), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
\mathbf{if}\;\ell \leq -5 \cdot 10^{-310}:\\
\;\;\;\;\mathsf{fma}\left(\frac{\left(-D\_m\right) \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell} \cdot \left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right), h, 1\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
\end{array}
\end{array}
if l < -4.999999999999985e-310Initial program 72.4%
lift-*.f64N/A
lift-/.f64N/A
clear-numN/A
un-div-invN/A
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
associate-*l*N/A
div-invN/A
times-fracN/A
lower-*.f64N/A
Applied rewrites75.1%
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-pow.f64N/A
unpow1/2N/A
lift-/.f64N/A
sqrt-undivN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
clear-numN/A
un-div-invN/A
clear-numN/A
lower-/.f64N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-undivN/A
lower-sqrt.f64N/A
lower-/.f6474.1
lift-/.f64N/A
metadata-eval74.1
lift-pow.f64N/A
unpow1/2N/A
lower-sqrt.f6474.1
Applied rewrites74.1%
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-/.f64N/A
div-invN/A
lift-pow.f64N/A
unpow-1N/A
remove-double-divN/A
associate-*r*N/A
Applied rewrites74.1%
Taylor expanded in d around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-*.f6484.0
Applied rewrites84.0%
if -4.999999999999985e-310 < l Initial program 69.0%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6471.5
Applied rewrites71.5%
Applied rewrites64.2%
Taylor expanded in l around inf
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites63.1%
Applied rewrites77.1%
Final simplification80.6%
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
:precision binary64
(if (<= l -5e-310)
(*
(-
1.0
(* (* (* (* 0.25 D_m) (/ M_m d)) h) (/ (* D_m (* M_m (/ 0.5 d))) l)))
(* (sqrt (/ 1.0 (* h l))) (- d)))
(/
(fma
D_m
(* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
(/ d (sqrt h)))
(sqrt l))))D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double tmp;
if (l <= -5e-310) {
tmp = (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l))) * (sqrt((1.0 / (h * l))) * -d);
} else {
tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
}
return tmp;
}
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) tmp = 0.0 if (l <= -5e-310) tmp = Float64(Float64(1.0 - Float64(Float64(Float64(Float64(0.25 * D_m) * Float64(M_m / d)) * h) * Float64(Float64(D_m * Float64(M_m * Float64(0.5 / d))) / l))) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d))); else tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l)); end return tmp end
D_m = N[Abs[D], $MachinePrecision] M_m = N[Abs[M], $MachinePrecision] NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[l, -5e-310], N[(N[(1.0 - N[(N[(N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision] * h), $MachinePrecision] * N[(N[(D$95$m * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
\mathbf{if}\;\ell \leq -5 \cdot 10^{-310}:\\
\;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
\end{array}
\end{array}
if l < -4.999999999999985e-310Initial program 72.4%
lift-*.f64N/A
lift-/.f64N/A
clear-numN/A
un-div-invN/A
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
associate-*l*N/A
div-invN/A
times-fracN/A
lower-*.f64N/A
Applied rewrites75.1%
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-pow.f64N/A
unpow1/2N/A
lift-/.f64N/A
sqrt-undivN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
clear-numN/A
un-div-invN/A
clear-numN/A
lower-/.f64N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-undivN/A
lower-sqrt.f64N/A
lower-/.f6474.1
lift-/.f64N/A
metadata-eval74.1
lift-pow.f64N/A
unpow1/2N/A
lower-sqrt.f6474.1
Applied rewrites74.1%
lift-/.f64N/A
div-invN/A
lift-pow.f64N/A
unpow-1N/A
remove-double-divN/A
lower-*.f6474.1
lift-*.f64N/A
*-commutativeN/A
lower-*.f6474.1
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*r*N/A
metadata-evalN/A
lower-*.f6474.1
Applied rewrites74.1%
Taylor expanded in d around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-*.f6484.8
Applied rewrites84.8%
if -4.999999999999985e-310 < l Initial program 69.0%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6471.5
Applied rewrites71.5%
Applied rewrites64.2%
Taylor expanded in l around inf
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites63.1%
Applied rewrites77.1%
Final simplification80.9%
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
:precision binary64
(let* ((t_0 (sqrt (/ 1.0 (* h l)))))
(if (<= l -1.7e-220)
(* t_0 (- d))
(if (<= l -5e-310)
(* t_0 d)
(*
(/ d (sqrt (* h l)))
(-
1.0
(*
(* (* (* 0.25 D_m) (/ M_m d)) h)
(/ (* D_m (* M_m (/ 0.5 d))) l))))))))D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double t_0 = sqrt((1.0 / (h * l)));
double tmp;
if (l <= -1.7e-220) {
tmp = t_0 * -d;
} else if (l <= -5e-310) {
tmp = t_0 * d;
} else {
tmp = (d / sqrt((h * l))) * (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l)));
}
return tmp;
}
D_m = abs(d)
M_m = abs(m)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
real(8) function code(d, h, l, m_m, d_m)
real(8), intent (in) :: d
real(8), intent (in) :: h
real(8), intent (in) :: l
real(8), intent (in) :: m_m
real(8), intent (in) :: d_m
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt((1.0d0 / (h * l)))
if (l <= (-1.7d-220)) then
tmp = t_0 * -d
else if (l <= (-5d-310)) then
tmp = t_0 * d
else
tmp = (d / sqrt((h * l))) * (1.0d0 - ((((0.25d0 * d_m) * (m_m / d)) * h) * ((d_m * (m_m * (0.5d0 / d))) / l)))
end if
code = tmp
end function
D_m = Math.abs(D);
M_m = Math.abs(M);
assert d < h && h < l && l < M_m && M_m < D_m;
public static double code(double d, double h, double l, double M_m, double D_m) {
double t_0 = Math.sqrt((1.0 / (h * l)));
double tmp;
if (l <= -1.7e-220) {
tmp = t_0 * -d;
} else if (l <= -5e-310) {
tmp = t_0 * d;
} else {
tmp = (d / Math.sqrt((h * l))) * (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l)));
}
return tmp;
}
D_m = math.fabs(D) M_m = math.fabs(M) [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m]) def code(d, h, l, M_m, D_m): t_0 = math.sqrt((1.0 / (h * l))) tmp = 0 if l <= -1.7e-220: tmp = t_0 * -d elif l <= -5e-310: tmp = t_0 * d else: tmp = (d / math.sqrt((h * l))) * (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l))) return tmp
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) t_0 = sqrt(Float64(1.0 / Float64(h * l))) tmp = 0.0 if (l <= -1.7e-220) tmp = Float64(t_0 * Float64(-d)); elseif (l <= -5e-310) tmp = Float64(t_0 * d); else tmp = Float64(Float64(d / sqrt(Float64(h * l))) * Float64(1.0 - Float64(Float64(Float64(Float64(0.25 * D_m) * Float64(M_m / d)) * h) * Float64(Float64(D_m * Float64(M_m * Float64(0.5 / d))) / l)))); end return tmp end
D_m = abs(D);
M_m = abs(M);
d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
function tmp_2 = code(d, h, l, M_m, D_m)
t_0 = sqrt((1.0 / (h * l)));
tmp = 0.0;
if (l <= -1.7e-220)
tmp = t_0 * -d;
elseif (l <= -5e-310)
tmp = t_0 * d;
else
tmp = (d / sqrt((h * l))) * (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l)));
end
tmp_2 = tmp;
end
D_m = N[Abs[D], $MachinePrecision]
M_m = N[Abs[M], $MachinePrecision]
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[l, -1.7e-220], N[(t$95$0 * (-d)), $MachinePrecision], If[LessEqual[l, -5e-310], N[(t$95$0 * d), $MachinePrecision], N[(N[(d / N[Sqrt[N[(h * l), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[(N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision] * h), $MachinePrecision] * N[(N[(D$95$m * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\
\mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\
\;\;\;\;t\_0 \cdot \left(-d\right)\\
\mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\
\;\;\;\;t\_0 \cdot d\\
\mathbf{else}:\\
\;\;\;\;\frac{d}{\sqrt{h \cdot \ell}} \cdot \left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right)\\
\end{array}
\end{array}
if l < -1.69999999999999997e-220Initial program 70.5%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
frac-2negN/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-neg.f6478.0
Applied rewrites78.0%
Taylor expanded in d around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6461.4
Applied rewrites61.4%
if -1.69999999999999997e-220 < l < -4.999999999999985e-310Initial program 80.2%
Taylor expanded in d around inf
Applied rewrites16.6%
Taylor expanded in d around -inf
associate-*r*N/A
mul-1-negN/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
remove-double-negN/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6433.9
Applied rewrites33.9%
if -4.999999999999985e-310 < l Initial program 69.0%
lift-*.f64N/A
lift-/.f64N/A
clear-numN/A
un-div-invN/A
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
associate-*l*N/A
div-invN/A
times-fracN/A
lower-*.f64N/A
Applied rewrites71.5%
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-pow.f64N/A
unpow1/2N/A
lift-/.f64N/A
sqrt-undivN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
clear-numN/A
un-div-invN/A
clear-numN/A
lower-/.f64N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-undivN/A
lower-sqrt.f64N/A
lower-/.f6471.6
lift-/.f64N/A
metadata-eval71.6
lift-pow.f64N/A
unpow1/2N/A
lower-sqrt.f6471.6
Applied rewrites71.6%
lift-/.f64N/A
div-invN/A
lift-pow.f64N/A
unpow-1N/A
remove-double-divN/A
lower-*.f6471.6
lift-*.f64N/A
*-commutativeN/A
lower-*.f6471.6
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*r*N/A
metadata-evalN/A
lower-*.f6471.6
Applied rewrites71.6%
lift-/.f64N/A
lift-/.f64N/A
clear-numN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-undivN/A
un-div-invN/A
lift-/.f64N/A
clear-numN/A
lift-/.f64N/A
frac-timesN/A
*-commutativeN/A
lift-*.f64N/A
sqrt-divN/A
sqrt-prodN/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-/.f6477.9
lift-*.f64N/A
*-commutativeN/A
lower-*.f6477.9
Applied rewrites77.9%
Final simplification67.0%
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
:precision binary64
(let* ((t_0 (sqrt (/ 1.0 (* h l)))))
(if (<= l -1.7e-220)
(* t_0 (- d))
(if (<= l -5e-310) (* t_0 d) (/ d (* (sqrt l) (sqrt h)))))))D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double t_0 = sqrt((1.0 / (h * l)));
double tmp;
if (l <= -1.7e-220) {
tmp = t_0 * -d;
} else if (l <= -5e-310) {
tmp = t_0 * d;
} else {
tmp = d / (sqrt(l) * sqrt(h));
}
return tmp;
}
D_m = abs(d)
M_m = abs(m)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
real(8) function code(d, h, l, m_m, d_m)
real(8), intent (in) :: d
real(8), intent (in) :: h
real(8), intent (in) :: l
real(8), intent (in) :: m_m
real(8), intent (in) :: d_m
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt((1.0d0 / (h * l)))
if (l <= (-1.7d-220)) then
tmp = t_0 * -d
else if (l <= (-5d-310)) then
tmp = t_0 * d
else
tmp = d / (sqrt(l) * sqrt(h))
end if
code = tmp
end function
D_m = Math.abs(D);
M_m = Math.abs(M);
assert d < h && h < l && l < M_m && M_m < D_m;
public static double code(double d, double h, double l, double M_m, double D_m) {
double t_0 = Math.sqrt((1.0 / (h * l)));
double tmp;
if (l <= -1.7e-220) {
tmp = t_0 * -d;
} else if (l <= -5e-310) {
tmp = t_0 * d;
} else {
tmp = d / (Math.sqrt(l) * Math.sqrt(h));
}
return tmp;
}
D_m = math.fabs(D) M_m = math.fabs(M) [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m]) def code(d, h, l, M_m, D_m): t_0 = math.sqrt((1.0 / (h * l))) tmp = 0 if l <= -1.7e-220: tmp = t_0 * -d elif l <= -5e-310: tmp = t_0 * d else: tmp = d / (math.sqrt(l) * math.sqrt(h)) return tmp
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) t_0 = sqrt(Float64(1.0 / Float64(h * l))) tmp = 0.0 if (l <= -1.7e-220) tmp = Float64(t_0 * Float64(-d)); elseif (l <= -5e-310) tmp = Float64(t_0 * d); else tmp = Float64(d / Float64(sqrt(l) * sqrt(h))); end return tmp end
D_m = abs(D);
M_m = abs(M);
d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
function tmp_2 = code(d, h, l, M_m, D_m)
t_0 = sqrt((1.0 / (h * l)));
tmp = 0.0;
if (l <= -1.7e-220)
tmp = t_0 * -d;
elseif (l <= -5e-310)
tmp = t_0 * d;
else
tmp = d / (sqrt(l) * sqrt(h));
end
tmp_2 = tmp;
end
D_m = N[Abs[D], $MachinePrecision]
M_m = N[Abs[M], $MachinePrecision]
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[l, -1.7e-220], N[(t$95$0 * (-d)), $MachinePrecision], If[LessEqual[l, -5e-310], N[(t$95$0 * d), $MachinePrecision], N[(d / N[(N[Sqrt[l], $MachinePrecision] * N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\
\mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\
\;\;\;\;t\_0 \cdot \left(-d\right)\\
\mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\
\;\;\;\;t\_0 \cdot d\\
\mathbf{else}:\\
\;\;\;\;\frac{d}{\sqrt{\ell} \cdot \sqrt{h}}\\
\end{array}
\end{array}
if l < -1.69999999999999997e-220Initial program 70.5%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
frac-2negN/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-neg.f6478.0
Applied rewrites78.0%
Taylor expanded in d around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6461.4
Applied rewrites61.4%
if -1.69999999999999997e-220 < l < -4.999999999999985e-310Initial program 80.2%
Taylor expanded in d around inf
Applied rewrites16.6%
Taylor expanded in d around -inf
associate-*r*N/A
mul-1-negN/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
remove-double-negN/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6433.9
Applied rewrites33.9%
if -4.999999999999985e-310 < l Initial program 69.0%
Taylor expanded in d around inf
Applied rewrites35.4%
Taylor expanded in d around -inf
associate-*r*N/A
mul-1-negN/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
remove-double-negN/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6440.5
Applied rewrites40.5%
Applied rewrites40.5%
Applied rewrites46.3%
Final simplification51.2%
D_m = (fabs.f64 D) M_m = (fabs.f64 M) NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. (FPCore (d h l M_m D_m) :precision binary64 (let* ((t_0 (sqrt (/ 1.0 (* h l))))) (if (<= l -1.7e-220) (* t_0 (- d)) (* t_0 d))))
D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
double t_0 = sqrt((1.0 / (h * l)));
double tmp;
if (l <= -1.7e-220) {
tmp = t_0 * -d;
} else {
tmp = t_0 * d;
}
return tmp;
}
D_m = abs(d)
M_m = abs(m)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
real(8) function code(d, h, l, m_m, d_m)
real(8), intent (in) :: d
real(8), intent (in) :: h
real(8), intent (in) :: l
real(8), intent (in) :: m_m
real(8), intent (in) :: d_m
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt((1.0d0 / (h * l)))
if (l <= (-1.7d-220)) then
tmp = t_0 * -d
else
tmp = t_0 * d
end if
code = tmp
end function
D_m = Math.abs(D);
M_m = Math.abs(M);
assert d < h && h < l && l < M_m && M_m < D_m;
public static double code(double d, double h, double l, double M_m, double D_m) {
double t_0 = Math.sqrt((1.0 / (h * l)));
double tmp;
if (l <= -1.7e-220) {
tmp = t_0 * -d;
} else {
tmp = t_0 * d;
}
return tmp;
}
D_m = math.fabs(D) M_m = math.fabs(M) [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m]) def code(d, h, l, M_m, D_m): t_0 = math.sqrt((1.0 / (h * l))) tmp = 0 if l <= -1.7e-220: tmp = t_0 * -d else: tmp = t_0 * d return tmp
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) t_0 = sqrt(Float64(1.0 / Float64(h * l))) tmp = 0.0 if (l <= -1.7e-220) tmp = Float64(t_0 * Float64(-d)); else tmp = Float64(t_0 * d); end return tmp end
D_m = abs(D);
M_m = abs(M);
d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
function tmp_2 = code(d, h, l, M_m, D_m)
t_0 = sqrt((1.0 / (h * l)));
tmp = 0.0;
if (l <= -1.7e-220)
tmp = t_0 * -d;
else
tmp = t_0 * d;
end
tmp_2 = tmp;
end
D_m = N[Abs[D], $MachinePrecision]
M_m = N[Abs[M], $MachinePrecision]
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[l, -1.7e-220], N[(t$95$0 * (-d)), $MachinePrecision], N[(t$95$0 * d), $MachinePrecision]]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\
\mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\
\;\;\;\;t\_0 \cdot \left(-d\right)\\
\mathbf{else}:\\
\;\;\;\;t\_0 \cdot d\\
\end{array}
\end{array}
if l < -1.69999999999999997e-220Initial program 70.5%
lift-pow.f64N/A
lift-/.f64N/A
metadata-evalN/A
unpow1/2N/A
lift-/.f64N/A
frac-2negN/A
sqrt-divN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-neg.f6478.0
Applied rewrites78.0%
Taylor expanded in d around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6461.4
Applied rewrites61.4%
if -1.69999999999999997e-220 < l Initial program 70.9%
Taylor expanded in d around inf
Applied rewrites32.3%
Taylor expanded in d around -inf
associate-*r*N/A
mul-1-negN/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
remove-double-negN/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6439.4
Applied rewrites39.4%
Final simplification48.3%
D_m = (fabs.f64 D) M_m = (fabs.f64 M) NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. (FPCore (d h l M_m D_m) :precision binary64 (* (sqrt (/ 1.0 (* h l))) d))
D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
return sqrt((1.0 / (h * l))) * d;
}
D_m = abs(d)
M_m = abs(m)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
real(8) function code(d, h, l, m_m, d_m)
real(8), intent (in) :: d
real(8), intent (in) :: h
real(8), intent (in) :: l
real(8), intent (in) :: m_m
real(8), intent (in) :: d_m
code = sqrt((1.0d0 / (h * l))) * d
end function
D_m = Math.abs(D);
M_m = Math.abs(M);
assert d < h && h < l && l < M_m && M_m < D_m;
public static double code(double d, double h, double l, double M_m, double D_m) {
return Math.sqrt((1.0 / (h * l))) * d;
}
D_m = math.fabs(D) M_m = math.fabs(M) [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m]) def code(d, h, l, M_m, D_m): return math.sqrt((1.0 / (h * l))) * d
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) return Float64(sqrt(Float64(1.0 / Float64(h * l))) * d) end
D_m = abs(D);
M_m = abs(M);
d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
function tmp = code(d, h, l, M_m, D_m)
tmp = sqrt((1.0 / (h * l))) * d;
end
D_m = N[Abs[D], $MachinePrecision] M_m = N[Abs[M], $MachinePrecision] NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. code[d_, h_, l_, M$95$m_, D$95$m_] := N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * d), $MachinePrecision]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\sqrt{\frac{1}{h \cdot \ell}} \cdot d
\end{array}
Initial program 70.7%
Taylor expanded in d around inf
Applied rewrites39.6%
Taylor expanded in d around -inf
associate-*r*N/A
mul-1-negN/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
remove-double-negN/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6426.2
Applied rewrites26.2%
Final simplification26.2%
D_m = (fabs.f64 D) M_m = (fabs.f64 M) NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. (FPCore (d h l M_m D_m) :precision binary64 (/ d (sqrt (* h l))))
D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
return d / sqrt((h * l));
}
D_m = abs(d)
M_m = abs(m)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
real(8) function code(d, h, l, m_m, d_m)
real(8), intent (in) :: d
real(8), intent (in) :: h
real(8), intent (in) :: l
real(8), intent (in) :: m_m
real(8), intent (in) :: d_m
code = d / sqrt((h * l))
end function
D_m = Math.abs(D);
M_m = Math.abs(M);
assert d < h && h < l && l < M_m && M_m < D_m;
public static double code(double d, double h, double l, double M_m, double D_m) {
return d / Math.sqrt((h * l));
}
D_m = math.fabs(D) M_m = math.fabs(M) [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m]) def code(d, h, l, M_m, D_m): return d / math.sqrt((h * l))
D_m = abs(D) M_m = abs(M) d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m]) function code(d, h, l, M_m, D_m) return Float64(d / sqrt(Float64(h * l))) end
D_m = abs(D);
M_m = abs(M);
d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
function tmp = code(d, h, l, M_m, D_m)
tmp = d / sqrt((h * l));
end
D_m = N[Abs[D], $MachinePrecision] M_m = N[Abs[M], $MachinePrecision] NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function. code[d_, h_, l_, M$95$m_, D$95$m_] := N[(d / N[Sqrt[N[(h * l), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\frac{d}{\sqrt{h \cdot \ell}}
\end{array}
Initial program 70.7%
Taylor expanded in d around inf
Applied rewrites39.6%
Taylor expanded in d around -inf
associate-*r*N/A
mul-1-negN/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
remove-double-negN/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6426.2
Applied rewrites26.2%
Applied rewrites25.5%
Final simplification25.5%
herbie shell --seed 2024304
(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)))))