
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 t)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (- t_4 (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y)))))
(if (<= (+ t_5 t_3) 1.002)
(+
(+ t_3 (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 (+ (sqrt x) t_4))))
(- t_1 (sqrt t)))
(+
(+ t_5 (/ (- (+ 1.0 z) z) (+ (sqrt z) t_2)))
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = (t_4 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y));
double tmp;
if ((t_5 + t_3) <= 1.002) {
tmp = (t_3 + fma(0.5, sqrt((1.0 / y)), (1.0 / (sqrt(x) + t_4)))) + (t_1 - sqrt(t));
} else {
tmp = (t_5 + (((1.0 + z) - z) / (sqrt(z) + t_2))) + (((1.0 + t) - t) / (sqrt(t) + t_1));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + t)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(t_4 - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))) tmp = 0.0 if (Float64(t_5 + t_3) <= 1.002) tmp = Float64(Float64(t_3 + fma(0.5, sqrt(Float64(1.0 / y)), Float64(1.0 / Float64(sqrt(x) + t_4)))) + Float64(t_1 - sqrt(t))); else tmp = Float64(Float64(t_5 + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_2))) + Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_1))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$5 + t$95$3), $MachinePrecision], 1.002], N[(N[(t$95$3 + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$5 + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(t\_4 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\\
\mathbf{if}\;t\_5 + t\_3 \leq 1.002:\\
\;\;\;\;\left(t\_3 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{1}{\sqrt{x} + t\_4}\right)\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_5 + \frac{\left(1 + z\right) - z}{\sqrt{z} + t\_2}\right) + \frac{\left(1 + t\right) - t}{\sqrt{t} + t\_1}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 86.3%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6487.2
Applied egg-rr87.2%
Taylor expanded in y around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6470.4
Simplified70.4%
if 1.002 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.2
Applied egg-rr99.2%
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
Applied egg-rr99.3%
Final simplification84.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (+ (sqrt x) (sqrt y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (sqrt (+ 1.0 t)))
(t_6 (- t_5 (sqrt t)))
(t_7
(+ (+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) (- t_2 (sqrt z))) t_6)))
(if (<= t_7 0.9999999999999989)
(+ (/ 1.0 (+ (sqrt x) t_4)) t_6)
(if (<= t_7 2.00005)
(+ t_4 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) t_3))
(if (<= t_7 3.5)
(+ 2.0 (- (fma y 0.5 t_2) (+ (sqrt z) t_3)))
(+
2.0
(- (+ t_2 t_5) (+ (sqrt t) (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt(x) + sqrt(y);
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((1.0 + t));
double t_6 = t_5 - sqrt(t);
double t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + t_6;
double tmp;
if (t_7 <= 0.9999999999999989) {
tmp = (1.0 / (sqrt(x) + t_4)) + t_6;
} else if (t_7 <= 2.00005) {
tmp = t_4 + (fma(0.5, sqrt((1.0 / z)), t_1) - t_3);
} else if (t_7 <= 3.5) {
tmp = 2.0 + (fma(y, 0.5, t_2) - (sqrt(z) + t_3));
} else {
tmp = 2.0 + ((t_2 + t_5) - (sqrt(t) + (sqrt(x) + (sqrt(y) + sqrt(z)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(x) + sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = sqrt(Float64(1.0 + t)) t_6 = Float64(t_5 - sqrt(t)) t_7 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + t_6) tmp = 0.0 if (t_7 <= 0.9999999999999989) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + t_6); elseif (t_7 <= 2.00005) tmp = Float64(t_4 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - t_3)); elseif (t_7 <= 3.5) tmp = Float64(2.0 + Float64(fma(y, 0.5, t_2) - Float64(sqrt(z) + t_3))); else tmp = Float64(2.0 + Float64(Float64(t_2 + t_5) - Float64(sqrt(t) + Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 0.9999999999999989], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 2.00005], N[(t$95$4 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 3.5], N[(2.0 + N[(N[(y * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(t$95$2 + t$95$5), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x} + \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{1 + t}\\
t_6 := t\_5 - \sqrt{t}\\
t_7 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 0.9999999999999989:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_4} + t\_6\\
\mathbf{elif}\;t\_7 \leq 2.00005:\\
\;\;\;\;t\_4 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - t\_3\right)\\
\mathbf{elif}\;t\_7 \leq 3.5:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_2\right) - \left(\sqrt{z} + t\_3\right)\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left(t\_2 + t\_5\right) - \left(\sqrt{t} + \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.99999999999999889Initial program 48.6%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6451.4
Applied egg-rr51.4%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6452.1
Simplified52.1%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6436.0
Simplified36.0%
if 0.99999999999999889 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.0000499999999999Initial program 97.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.4
Simplified10.4%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.3
Simplified27.3%
if 2.0000499999999999 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 99.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6436.4
Simplified36.4%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6431.3
Simplified31.3%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.2
Simplified35.2%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.9%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6492.4
Simplified92.4%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6488.3
Simplified88.3%
Final simplification34.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (+ (sqrt x) (sqrt y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (sqrt (+ 1.0 t)))
(t_6 (- t_5 (sqrt t)))
(t_7
(+ (+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) (- t_2 (sqrt z))) t_6)))
(if (<= t_7 0.9999999999999989)
(+ (/ 1.0 (+ (sqrt x) t_4)) t_6)
(if (<= t_7 2.00005)
(+ t_4 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) t_3))
(if (<= t_7 3.5)
(+ 2.0 (- (fma y 0.5 t_2) (+ (sqrt z) t_3)))
(+
2.0
(- (+ t_5 t_1) (+ (sqrt t) (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt(x) + sqrt(y);
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((1.0 + t));
double t_6 = t_5 - sqrt(t);
double t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + t_6;
double tmp;
if (t_7 <= 0.9999999999999989) {
tmp = (1.0 / (sqrt(x) + t_4)) + t_6;
} else if (t_7 <= 2.00005) {
tmp = t_4 + (fma(0.5, sqrt((1.0 / z)), t_1) - t_3);
} else if (t_7 <= 3.5) {
tmp = 2.0 + (fma(y, 0.5, t_2) - (sqrt(z) + t_3));
} else {
tmp = 2.0 + ((t_5 + t_1) - (sqrt(t) + (sqrt(x) + (sqrt(y) + sqrt(z)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(x) + sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = sqrt(Float64(1.0 + t)) t_6 = Float64(t_5 - sqrt(t)) t_7 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + t_6) tmp = 0.0 if (t_7 <= 0.9999999999999989) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + t_6); elseif (t_7 <= 2.00005) tmp = Float64(t_4 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - t_3)); elseif (t_7 <= 3.5) tmp = Float64(2.0 + Float64(fma(y, 0.5, t_2) - Float64(sqrt(z) + t_3))); else tmp = Float64(2.0 + Float64(Float64(t_5 + t_1) - Float64(sqrt(t) + Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 0.9999999999999989], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 2.00005], N[(t$95$4 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 3.5], N[(2.0 + N[(N[(y * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(t$95$5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x} + \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{1 + t}\\
t_6 := t\_5 - \sqrt{t}\\
t_7 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 0.9999999999999989:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_4} + t\_6\\
\mathbf{elif}\;t\_7 \leq 2.00005:\\
\;\;\;\;t\_4 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - t\_3\right)\\
\mathbf{elif}\;t\_7 \leq 3.5:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_2\right) - \left(\sqrt{z} + t\_3\right)\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left(t\_5 + t\_1\right) - \left(\sqrt{t} + \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.99999999999999889Initial program 48.6%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6451.4
Applied egg-rr51.4%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6452.1
Simplified52.1%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6436.0
Simplified36.0%
if 0.99999999999999889 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.0000499999999999Initial program 97.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.4
Simplified10.4%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.3
Simplified27.3%
if 2.0000499999999999 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 99.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6436.4
Simplified36.4%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6431.3
Simplified31.3%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.2
Simplified35.2%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.9%
Taylor expanded in z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6499.3
Simplified99.3%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6491.9
Simplified91.9%
Final simplification34.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ x 1.0)))
(t_5
(+ (+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) (- t_2 (sqrt z))) t_3))
(t_6 (+ (sqrt x) (sqrt y))))
(if (<= t_5 0.9999999999999989)
(+ (/ 1.0 (+ (sqrt x) t_4)) t_3)
(if (<= t_5 2.00005)
(+ t_4 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) t_6))
(+ 2.0 (- (fma y 0.5 t_2) (+ (sqrt z) t_6)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((x + 1.0));
double t_5 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + t_3;
double t_6 = sqrt(x) + sqrt(y);
double tmp;
if (t_5 <= 0.9999999999999989) {
tmp = (1.0 / (sqrt(x) + t_4)) + t_3;
} else if (t_5 <= 2.00005) {
tmp = t_4 + (fma(0.5, sqrt((1.0 / z)), t_1) - t_6);
} else {
tmp = 2.0 + (fma(y, 0.5, t_2) - (sqrt(z) + t_6));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + t_3) t_6 = Float64(sqrt(x) + sqrt(y)) tmp = 0.0 if (t_5 <= 0.9999999999999989) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + t_3); elseif (t_5 <= 2.00005) tmp = Float64(t_4 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - t_6)); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_2) - Float64(sqrt(z) + t_6))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.9999999999999989], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(t$95$4 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - t$95$6), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
t_6 := \sqrt{x} + \sqrt{y}\\
\mathbf{if}\;t\_5 \leq 0.9999999999999989:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_4} + t\_3\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;t\_4 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - t\_6\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_2\right) - \left(\sqrt{z} + t\_6\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.99999999999999889Initial program 48.6%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6451.4
Applied egg-rr51.4%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6452.1
Simplified52.1%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6436.0
Simplified36.0%
if 0.99999999999999889 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.0000499999999999Initial program 97.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.4
Simplified10.4%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.3
Simplified27.3%
if 2.0000499999999999 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6433.6
Simplified33.6%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6429.4
Simplified29.4%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.7
Simplified32.7%
Final simplification30.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ x 1.0)))
(t_3
(+
(+
(+ (- t_2 (sqrt x)) (- t_1 (sqrt y)))
(- (sqrt (+ 1.0 z)) (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t)))))
(if (<= t_3 0.9999999999999989)
(- (fma 0.5 (sqrt (/ 1.0 z)) t_2) (sqrt x))
(if (<= t_3 2.5)
(+ t_2 (- t_1 (+ (sqrt x) (sqrt y))))
(+ 2.0 (- (- (- t_1 (sqrt x)) (sqrt y)) (sqrt z)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0));
double t_3 = (((t_2 - sqrt(x)) + (t_1 - sqrt(y))) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
double tmp;
if (t_3 <= 0.9999999999999989) {
tmp = fma(0.5, sqrt((1.0 / z)), t_2) - sqrt(x);
} else if (t_3 <= 2.5) {
tmp = t_2 + (t_1 - (sqrt(x) + sqrt(y)));
} else {
tmp = 2.0 + (((t_1 - sqrt(x)) - sqrt(y)) - sqrt(z));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) tmp = 0.0 if (t_3 <= 0.9999999999999989) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_2) - sqrt(x)); elseif (t_3 <= 2.5) tmp = Float64(t_2 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(2.0 + Float64(Float64(Float64(t_1 - sqrt(x)) - sqrt(y)) - sqrt(z))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.9999999999999989], N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 2.5], N[(t$95$2 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(\left(\left(t\_2 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
\mathbf{if}\;t\_3 \leq 0.9999999999999989:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_2\right) - \sqrt{x}\\
\mathbf{elif}\;t\_3 \leq 2.5:\\
\;\;\;\;t\_2 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left(\left(t\_1 - \sqrt{x}\right) - \sqrt{y}\right) - \sqrt{z}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.99999999999999889Initial program 48.6%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Simplified21.5%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6423.4
Simplified23.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f645.3
Simplified5.3%
if 0.99999999999999889 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.5Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.7
Simplified10.7%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.7
Simplified27.7%
if 2.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6434.2
Simplified34.2%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6430.1
Simplified30.1%
Taylor expanded in z around 0
associate--l+N/A
lower-+.f64N/A
associate-+r+N/A
associate--r+N/A
lower--.f64N/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.5
Simplified32.5%
Final simplification26.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (- t_1 (sqrt x)) (sqrt y)))
(t_3 (sqrt (+ x 1.0)))
(t_4
(+
(+
(+ (- t_3 (sqrt x)) (- t_1 (sqrt y)))
(- (sqrt (+ 1.0 z)) (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t)))))
(if (<= t_4 0.9999999999999989)
(- (fma 0.5 (sqrt (/ 1.0 z)) t_3) (sqrt x))
(if (<= t_4 2.5) (+ 1.0 t_2) (+ 2.0 (- t_2 (sqrt z)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = (t_1 - sqrt(x)) - sqrt(y);
double t_3 = sqrt((x + 1.0));
double t_4 = (((t_3 - sqrt(x)) + (t_1 - sqrt(y))) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
double tmp;
if (t_4 <= 0.9999999999999989) {
tmp = fma(0.5, sqrt((1.0 / z)), t_3) - sqrt(x);
} else if (t_4 <= 2.5) {
tmp = 1.0 + t_2;
} else {
tmp = 2.0 + (t_2 - sqrt(z));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(Float64(t_1 - sqrt(x)) - sqrt(y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) tmp = 0.0 if (t_4 <= 0.9999999999999989) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_3) - sqrt(x)); elseif (t_4 <= 2.5) tmp = Float64(1.0 + t_2); else tmp = Float64(2.0 + Float64(t_2 - sqrt(z))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.9999999999999989], N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.5], N[(1.0 + t$95$2), $MachinePrecision], N[(2.0 + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \left(t\_1 - \sqrt{x}\right) - \sqrt{y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
\mathbf{if}\;t\_4 \leq 0.9999999999999989:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.5:\\
\;\;\;\;1 + t\_2\\
\mathbf{else}:\\
\;\;\;\;2 + \left(t\_2 - \sqrt{z}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.99999999999999889Initial program 48.6%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Simplified21.5%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6423.4
Simplified23.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f645.3
Simplified5.3%
if 0.99999999999999889 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.5Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.7
Simplified10.7%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f642.7
Simplified2.7%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.2
Simplified32.2%
if 2.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6434.2
Simplified34.2%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6430.1
Simplified30.1%
Taylor expanded in z around 0
associate--l+N/A
lower-+.f64N/A
associate-+r+N/A
associate--r+N/A
lower--.f64N/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.5
Simplified32.5%
Final simplification29.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0)
(+ (/ 1.0 (+ (sqrt x) t_2)) t_3)
(if (<= t_5 2.002)
(- (+ t_2 (+ t_4 (/ 1.0 (+ (sqrt z) t_1)))) (+ (sqrt x) (sqrt y)))
(+ t_3 (+ 1.0 (+ t_4 (- t_1 (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = (1.0 / (sqrt(x) + t_2)) + t_3;
} else if (t_5 <= 2.002) {
tmp = (t_2 + (t_4 + (1.0 / (sqrt(z) + t_1)))) - (sqrt(x) + sqrt(y));
} else {
tmp = t_3 + (1.0 + (t_4 + (t_1 - (sqrt(x) + (sqrt(y) + sqrt(z))))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + y))
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z))
if (t_5 <= 1.0d0) then
tmp = (1.0d0 / (sqrt(x) + t_2)) + t_3
else if (t_5 <= 2.002d0) then
tmp = (t_2 + (t_4 + (1.0d0 / (sqrt(z) + t_1)))) - (sqrt(x) + sqrt(y))
else
tmp = t_3 + (1.0d0 + (t_4 + (t_1 - (sqrt(x) + (sqrt(y) + sqrt(z))))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + y));
double t_5 = ((t_2 - Math.sqrt(x)) + (t_4 - Math.sqrt(y))) + (t_1 - Math.sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = (1.0 / (Math.sqrt(x) + t_2)) + t_3;
} else if (t_5 <= 2.002) {
tmp = (t_2 + (t_4 + (1.0 / (Math.sqrt(z) + t_1)))) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = t_3 + (1.0 + (t_4 + (t_1 - (Math.sqrt(x) + (Math.sqrt(y) + Math.sqrt(z))))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + y)) t_5 = ((t_2 - math.sqrt(x)) + (t_4 - math.sqrt(y))) + (t_1 - math.sqrt(z)) tmp = 0 if t_5 <= 1.0: tmp = (1.0 / (math.sqrt(x) + t_2)) + t_3 elif t_5 <= 2.002: tmp = (t_2 + (t_4 + (1.0 / (math.sqrt(z) + t_1)))) - (math.sqrt(x) + math.sqrt(y)) else: tmp = t_3 + (1.0 + (t_4 + (t_1 - (math.sqrt(x) + (math.sqrt(y) + math.sqrt(z)))))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_3); elseif (t_5 <= 2.002) tmp = Float64(Float64(t_2 + Float64(t_4 + Float64(1.0 / Float64(sqrt(z) + t_1)))) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(t_3 + Float64(1.0 + Float64(t_4 + Float64(t_1 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
t_2 = sqrt((x + 1.0));
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + y));
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
tmp = 0.0;
if (t_5 <= 1.0)
tmp = (1.0 / (sqrt(x) + t_2)) + t_3;
elseif (t_5 <= 2.002)
tmp = (t_2 + (t_4 + (1.0 / (sqrt(z) + t_1)))) - (sqrt(x) + sqrt(y));
else
tmp = t_3 + (1.0 + (t_4 + (t_1 - (sqrt(x) + (sqrt(y) + sqrt(z))))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 2.002], N[(N[(t$95$2 + N[(t$95$4 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(1.0 + N[(t$95$4 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_2} + t\_3\\
\mathbf{elif}\;t\_5 \leq 2.002:\\
\;\;\;\;\left(t\_2 + \left(t\_4 + \frac{1}{\sqrt{z} + t\_1}\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(1 + \left(t\_4 + \left(t\_1 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 86.6%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6487.2
Applied egg-rr87.2%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6469.1
Simplified69.1%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6448.7
Simplified48.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0019999999999998Initial program 98.0%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.3
Applied egg-rr98.3%
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
Applied egg-rr98.8%
Taylor expanded in t around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.5
Simplified22.5%
if 2.0019999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6495.3
Simplified95.3%
Final simplification46.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (+ (sqrt x) (sqrt y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_6 (sqrt (+ 1.0 y)))
(t_7 (+ (+ (- t_4 (sqrt x)) (- t_6 (sqrt y))) t_2)))
(if (<= t_7 1.0)
(+ (/ 1.0 (+ (sqrt x) t_4)) t_5)
(if (<= t_7 2.002)
(- (+ t_4 (+ t_6 (/ 1.0 (+ (sqrt z) t_1)))) t_3)
(+ t_5 (+ t_2 (- 2.0 t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt(x) + sqrt(y);
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((1.0 + t)) - sqrt(t);
double t_6 = sqrt((1.0 + y));
double t_7 = ((t_4 - sqrt(x)) + (t_6 - sqrt(y))) + t_2;
double tmp;
if (t_7 <= 1.0) {
tmp = (1.0 / (sqrt(x) + t_4)) + t_5;
} else if (t_7 <= 2.002) {
tmp = (t_4 + (t_6 + (1.0 / (sqrt(z) + t_1)))) - t_3;
} else {
tmp = t_5 + (t_2 + (2.0 - t_3));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = t_1 - sqrt(z)
t_3 = sqrt(x) + sqrt(y)
t_4 = sqrt((x + 1.0d0))
t_5 = sqrt((1.0d0 + t)) - sqrt(t)
t_6 = sqrt((1.0d0 + y))
t_7 = ((t_4 - sqrt(x)) + (t_6 - sqrt(y))) + t_2
if (t_7 <= 1.0d0) then
tmp = (1.0d0 / (sqrt(x) + t_4)) + t_5
else if (t_7 <= 2.002d0) then
tmp = (t_4 + (t_6 + (1.0d0 / (sqrt(z) + t_1)))) - t_3
else
tmp = t_5 + (t_2 + (2.0d0 - t_3))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt(x) + Math.sqrt(y);
double t_4 = Math.sqrt((x + 1.0));
double t_5 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_6 = Math.sqrt((1.0 + y));
double t_7 = ((t_4 - Math.sqrt(x)) + (t_6 - Math.sqrt(y))) + t_2;
double tmp;
if (t_7 <= 1.0) {
tmp = (1.0 / (Math.sqrt(x) + t_4)) + t_5;
} else if (t_7 <= 2.002) {
tmp = (t_4 + (t_6 + (1.0 / (Math.sqrt(z) + t_1)))) - t_3;
} else {
tmp = t_5 + (t_2 + (2.0 - t_3));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt(x) + math.sqrt(y) t_4 = math.sqrt((x + 1.0)) t_5 = math.sqrt((1.0 + t)) - math.sqrt(t) t_6 = math.sqrt((1.0 + y)) t_7 = ((t_4 - math.sqrt(x)) + (t_6 - math.sqrt(y))) + t_2 tmp = 0 if t_7 <= 1.0: tmp = (1.0 / (math.sqrt(x) + t_4)) + t_5 elif t_7 <= 2.002: tmp = (t_4 + (t_6 + (1.0 / (math.sqrt(z) + t_1)))) - t_3 else: tmp = t_5 + (t_2 + (2.0 - t_3)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = Float64(sqrt(x) + sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_6 = sqrt(Float64(1.0 + y)) t_7 = Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_6 - sqrt(y))) + t_2) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + t_5); elseif (t_7 <= 2.002) tmp = Float64(Float64(t_4 + Float64(t_6 + Float64(1.0 / Float64(sqrt(z) + t_1)))) - t_3); else tmp = Float64(t_5 + Float64(t_2 + Float64(2.0 - t_3))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
t_2 = t_1 - sqrt(z);
t_3 = sqrt(x) + sqrt(y);
t_4 = sqrt((x + 1.0));
t_5 = sqrt((1.0 + t)) - sqrt(t);
t_6 = sqrt((1.0 + y));
t_7 = ((t_4 - sqrt(x)) + (t_6 - sqrt(y))) + t_2;
tmp = 0.0;
if (t_7 <= 1.0)
tmp = (1.0 / (sqrt(x) + t_4)) + t_5;
elseif (t_7 <= 2.002)
tmp = (t_4 + (t_6 + (1.0 / (sqrt(z) + t_1)))) - t_3;
else
tmp = t_5 + (t_2 + (2.0 - t_3));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 2.002], N[(N[(t$95$4 + N[(t$95$6 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision], N[(t$95$5 + N[(t$95$2 + N[(2.0 - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x} + \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{1 + t} - \sqrt{t}\\
t_6 := \sqrt{1 + y}\\
t_7 := \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_6 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_4} + t\_5\\
\mathbf{elif}\;t\_7 \leq 2.002:\\
\;\;\;\;\left(t\_4 + \left(t\_6 + \frac{1}{\sqrt{z} + t\_1}\right)\right) - t\_3\\
\mathbf{else}:\\
\;\;\;\;t\_5 + \left(t\_2 + \left(2 - t\_3\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 86.6%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6487.2
Applied egg-rr87.2%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6469.1
Simplified69.1%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6448.7
Simplified48.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0019999999999998Initial program 98.0%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.3
Applied egg-rr98.3%
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
Applied egg-rr98.8%
Taylor expanded in t around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.5
Simplified22.5%
if 2.0019999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6495.3
Simplified95.3%
Taylor expanded in y around 0
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6492.8
Simplified92.8%
Final simplification45.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ (sqrt x) (sqrt y)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ (+ (- t_2 (sqrt x)) (- t_5 (sqrt y))) t_1)))
(if (<= t_6 0.9999999999999989)
(+ (/ 1.0 (+ (sqrt x) t_2)) t_4)
(if (<= t_6 2.00005)
(+ t_2 (- (fma 0.5 (sqrt (/ 1.0 z)) t_5) t_3))
(+ t_4 (+ t_1 (- 2.0 t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt(x) + sqrt(y);
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double t_5 = sqrt((1.0 + y));
double t_6 = ((t_2 - sqrt(x)) + (t_5 - sqrt(y))) + t_1;
double tmp;
if (t_6 <= 0.9999999999999989) {
tmp = (1.0 / (sqrt(x) + t_2)) + t_4;
} else if (t_6 <= 2.00005) {
tmp = t_2 + (fma(0.5, sqrt((1.0 / z)), t_5) - t_3);
} else {
tmp = t_4 + (t_1 + (2.0 - t_3));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(x) + sqrt(y)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_5 - sqrt(y))) + t_1) tmp = 0.0 if (t_6 <= 0.9999999999999989) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_4); elseif (t_6 <= 2.00005) tmp = Float64(t_2 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_5) - t_3)); else tmp = Float64(t_4 + Float64(t_1 + Float64(2.0 - t_3))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$6, 0.9999999999999989], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.00005], N[(t$95$2 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$5), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision], N[(t$95$4 + N[(t$95$1 + N[(2.0 - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{x} + \sqrt{y}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
t_5 := \sqrt{1 + y}\\
t_6 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_5 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_6 \leq 0.9999999999999989:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_2} + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.00005:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_5\right) - t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(t\_1 + \left(2 - t\_3\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999999999889Initial program 67.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6469.2
Applied egg-rr69.2%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6470.5
Simplified70.5%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6457.9
Simplified57.9%
if 0.99999999999999889 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 98.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6411.0
Simplified11.0%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.1
Simplified25.1%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6495.3
Simplified95.3%
Taylor expanded in y around 0
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6492.8
Simplified92.8%
Final simplification41.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ (sqrt x) (sqrt y)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 0.9999999999999989)
(+ (/ 1.0 (+ (sqrt x) t_2)) (- (sqrt (+ 1.0 t)) (sqrt t)))
(if (<= t_5 2.00005)
(+ 1.0 (- (fma 0.5 (sqrt (/ 1.0 z)) t_4) t_3))
(+ 2.0 (- (fma y 0.5 t_1) (+ (sqrt z) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt(x) + sqrt(y);
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 0.9999999999999989) {
tmp = (1.0 / (sqrt(x) + t_2)) + (sqrt((1.0 + t)) - sqrt(t));
} else if (t_5 <= 2.00005) {
tmp = 1.0 + (fma(0.5, sqrt((1.0 / z)), t_4) - t_3);
} else {
tmp = 2.0 + (fma(y, 0.5, t_1) - (sqrt(z) + t_3));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(x) + sqrt(y)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 0.9999999999999989) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))); elseif (t_5 <= 2.00005) tmp = Float64(1.0 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_4) - t_3)); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_1) - Float64(sqrt(z) + t_3))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.9999999999999989], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(1.0 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{x} + \sqrt{y}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 0.9999999999999989:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_2} + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_4\right) - t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_1\right) - \left(\sqrt{z} + t\_3\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999999999889Initial program 67.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6469.2
Applied egg-rr69.2%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6470.5
Simplified70.5%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6457.9
Simplified57.9%
if 0.99999999999999889 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 98.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6411.0
Simplified11.0%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f642.5
Simplified2.5%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6424.2
Simplified24.2%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6465.8
Simplified65.8%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6465.4
Simplified65.4%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6465.4
Simplified65.4%
Final simplification36.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (+ (+ (- t_2 (sqrt x)) (- t_3 (sqrt y))) (- t_1 (sqrt z))))
(t_5 (+ (sqrt x) (sqrt y))))
(if (<= t_4 0.9999999999999989)
(+ (/ 1.0 (+ (sqrt x) t_2)) (- (sqrt (+ 1.0 t)) (sqrt t)))
(if (<= t_4 2.0)
(+ t_2 (- t_3 t_5))
(+ 2.0 (- (fma y 0.5 t_1) (+ (sqrt z) t_5)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + y));
double t_4 = ((t_2 - sqrt(x)) + (t_3 - sqrt(y))) + (t_1 - sqrt(z));
double t_5 = sqrt(x) + sqrt(y);
double tmp;
if (t_4 <= 0.9999999999999989) {
tmp = (1.0 / (sqrt(x) + t_2)) + (sqrt((1.0 + t)) - sqrt(t));
} else if (t_4 <= 2.0) {
tmp = t_2 + (t_3 - t_5);
} else {
tmp = 2.0 + (fma(y, 0.5, t_1) - (sqrt(z) + t_5));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_3 - sqrt(y))) + Float64(t_1 - sqrt(z))) t_5 = Float64(sqrt(x) + sqrt(y)) tmp = 0.0 if (t_4 <= 0.9999999999999989) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))); elseif (t_4 <= 2.0) tmp = Float64(t_2 + Float64(t_3 - t_5)); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_1) - Float64(sqrt(z) + t_5))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.9999999999999989], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(t$95$2 + N[(t$95$3 - t$95$5), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + y}\\
t_4 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
t_5 := \sqrt{x} + \sqrt{y}\\
\mathbf{if}\;t\_4 \leq 0.9999999999999989:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_2} + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;t\_2 + \left(t\_3 - t\_5\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_1\right) - \left(\sqrt{z} + t\_5\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999999999889Initial program 67.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6469.2
Applied egg-rr69.2%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6470.5
Simplified70.5%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6457.9
Simplified57.9%
if 0.99999999999999889 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 98.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6411.0
Simplified11.0%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.0
Simplified26.0%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6465.8
Simplified65.8%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6465.4
Simplified65.4%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6465.4
Simplified65.4%
Final simplification37.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt x) (sqrt y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_3 (sqrt x)) (- t_4 (sqrt y))) (- t_2 (sqrt z)))))
(if (<= t_5 0.9999999999999989)
(- (fma 0.5 (sqrt (/ 1.0 z)) t_3) (sqrt x))
(if (<= t_5 1.999999999999792)
(+ t_3 (- t_4 t_1))
(+ 2.0 (- (fma y 0.5 t_2) (+ (sqrt z) t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(x) + sqrt(y);
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_3 - sqrt(x)) + (t_4 - sqrt(y))) + (t_2 - sqrt(z));
double tmp;
if (t_5 <= 0.9999999999999989) {
tmp = fma(0.5, sqrt((1.0 / z)), t_3) - sqrt(x);
} else if (t_5 <= 1.999999999999792) {
tmp = t_3 + (t_4 - t_1);
} else {
tmp = 2.0 + (fma(y, 0.5, t_2) - (sqrt(z) + t_1));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(x) + sqrt(y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_2 - sqrt(z))) tmp = 0.0 if (t_5 <= 0.9999999999999989) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_3) - sqrt(x)); elseif (t_5 <= 1.999999999999792) tmp = Float64(t_3 + Float64(t_4 - t_1)); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_2) - Float64(sqrt(z) + t_1))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.9999999999999989], N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.999999999999792], N[(t$95$3 + N[(t$95$4 - t$95$1), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x} + \sqrt{y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 0.9999999999999989:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 1.999999999999792:\\
\;\;\;\;t\_3 + \left(t\_4 - t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_2\right) - \left(\sqrt{z} + t\_1\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999999999889Initial program 67.5%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Simplified30.9%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6449.3
Simplified49.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f645.4
Simplified5.4%
if 0.99999999999999889 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.99999999999979194Initial program 97.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.7
Simplified5.7%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.5
Simplified25.5%
if 1.99999999999979194 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6433.9
Simplified33.9%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.6
Simplified23.6%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6436.2
Simplified36.2%
Final simplification26.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt x) (sqrt y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_3 (sqrt x)) (- t_4 (sqrt y))) (- t_2 (sqrt z)))))
(if (<= t_5 0.9999999999999989)
(- (fma 0.5 (sqrt (/ 1.0 z)) t_3) (sqrt x))
(if (<= t_5 2.0) (+ t_3 (- t_4 t_1)) (- (+ t_2 2.0) (+ (sqrt z) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(x) + sqrt(y);
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_3 - sqrt(x)) + (t_4 - sqrt(y))) + (t_2 - sqrt(z));
double tmp;
if (t_5 <= 0.9999999999999989) {
tmp = fma(0.5, sqrt((1.0 / z)), t_3) - sqrt(x);
} else if (t_5 <= 2.0) {
tmp = t_3 + (t_4 - t_1);
} else {
tmp = (t_2 + 2.0) - (sqrt(z) + t_1);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(x) + sqrt(y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_2 - sqrt(z))) tmp = 0.0 if (t_5 <= 0.9999999999999989) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_3) - sqrt(x)); elseif (t_5 <= 2.0) tmp = Float64(t_3 + Float64(t_4 - t_1)); else tmp = Float64(Float64(t_2 + 2.0) - Float64(sqrt(z) + t_1)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.9999999999999989], N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(t$95$3 + N[(t$95$4 - t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + 2.0), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x} + \sqrt{y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 0.9999999999999989:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;t\_3 + \left(t\_4 - t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + 2\right) - \left(\sqrt{z} + t\_1\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999999999889Initial program 67.5%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Simplified30.9%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6449.3
Simplified49.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f645.4
Simplified5.4%
if 0.99999999999999889 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 98.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6411.0
Simplified11.0%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.0
Simplified26.0%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6465.8
Simplified65.8%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6465.4
Simplified65.4%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6464.5
Simplified64.5%
Final simplification27.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (- t_4 (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y)))))
(if (<= (+ t_5 t_3) 1.002)
(+ (+ t_3 (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 (+ (sqrt x) t_4)))) t_1)
(+ t_1 (+ t_5 (/ (- (+ 1.0 z) z) (+ (sqrt z) t_2)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = (t_4 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y));
double tmp;
if ((t_5 + t_3) <= 1.002) {
tmp = (t_3 + fma(0.5, sqrt((1.0 / y)), (1.0 / (sqrt(x) + t_4)))) + t_1;
} else {
tmp = t_1 + (t_5 + (((1.0 + z) - z) / (sqrt(z) + t_2)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(t_4 - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))) tmp = 0.0 if (Float64(t_5 + t_3) <= 1.002) tmp = Float64(Float64(t_3 + fma(0.5, sqrt(Float64(1.0 / y)), Float64(1.0 / Float64(sqrt(x) + t_4)))) + t_1); else tmp = Float64(t_1 + Float64(t_5 + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_2)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$5 + t$95$3), $MachinePrecision], 1.002], N[(N[(t$95$3 + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(t$95$1 + N[(t$95$5 + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(t\_4 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\\
\mathbf{if}\;t\_5 + t\_3 \leq 1.002:\\
\;\;\;\;\left(t\_3 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{1}{\sqrt{x} + t\_4}\right)\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(t\_5 + \frac{\left(1 + z\right) - z}{\sqrt{z} + t\_2}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 86.3%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6487.2
Applied egg-rr87.2%
Taylor expanded in y around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6470.4
Simplified70.4%
if 1.002 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.0
Applied egg-rr99.0%
Final simplification84.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (- (sqrt (+ 1.0 y)) (sqrt y))))
(if (<= (+ (+ (- t_4 (sqrt x)) t_5) t_3) 1.002)
(+ (+ t_3 (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 (+ (sqrt x) t_4)))) t_1)
(+
t_1
(+ (/ (- (+ 1.0 z) z) (+ (sqrt z) t_2)) (+ t_5 (- 1.0 (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((1.0 + y)) - sqrt(y);
double tmp;
if ((((t_4 - sqrt(x)) + t_5) + t_3) <= 1.002) {
tmp = (t_3 + fma(0.5, sqrt((1.0 / y)), (1.0 / (sqrt(x) + t_4)))) + t_1;
} else {
tmp = t_1 + ((((1.0 + z) - z) / (sqrt(z) + t_2)) + (t_5 + (1.0 - sqrt(x))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) tmp = 0.0 if (Float64(Float64(Float64(t_4 - sqrt(x)) + t_5) + t_3) <= 1.002) tmp = Float64(Float64(t_3 + fma(0.5, sqrt(Float64(1.0 / y)), Float64(1.0 / Float64(sqrt(x) + t_4)))) + t_1); else tmp = Float64(t_1 + Float64(Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_2)) + Float64(t_5 + Float64(1.0 - sqrt(x))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision], 1.002], N[(N[(t$95$3 + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(t$95$1 + N[(N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(t$95$5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{1 + y} - \sqrt{y}\\
\mathbf{if}\;\left(\left(t\_4 - \sqrt{x}\right) + t\_5\right) + t\_3 \leq 1.002:\\
\;\;\;\;\left(t\_3 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{1}{\sqrt{x} + t\_4}\right)\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\frac{\left(1 + z\right) - z}{\sqrt{z} + t\_2} + \left(t\_5 + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 86.3%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6487.2
Applied egg-rr87.2%
Taylor expanded in y around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6470.4
Simplified70.4%
if 1.002 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6473.6
Simplified73.6%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6473.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6473.6
Applied egg-rr73.6%
Final simplification72.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 y))))
(if (<= (+ (- t_2 (sqrt x)) (- t_3 (sqrt y))) 0.9999996)
(+ (/ 1.0 (+ (sqrt x) t_2)) t_1)
(fma
(- (+ 1.0 y) y)
(/ 1.0 (+ (sqrt y) t_3))
(+ (+ (- (sqrt (+ 1.0 z)) (sqrt z)) t_1) (- 1.0 (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + y));
double tmp;
if (((t_2 - sqrt(x)) + (t_3 - sqrt(y))) <= 0.9999996) {
tmp = (1.0 / (sqrt(x) + t_2)) + t_1;
} else {
tmp = fma(((1.0 + y) - y), (1.0 / (sqrt(y) + t_3)), (((sqrt((1.0 + z)) - sqrt(z)) + t_1) + (1.0 - sqrt(x))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(x)) + Float64(t_3 - sqrt(y))) <= 0.9999996) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1); else tmp = fma(Float64(Float64(1.0 + y) - y), Float64(1.0 / Float64(sqrt(y) + t_3)), Float64(Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + t_1) + Float64(1.0 - sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.9999996], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + y}\\
\mathbf{if}\;\left(t\_2 - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right) \leq 0.9999996:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_2} + t\_1\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\left(1 + y\right) - y, \frac{1}{\sqrt{y} + t\_3}, \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + t\_1\right) + \left(1 - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.99999959999999999Initial program 77.7%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6478.8
Applied egg-rr78.8%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6479.3
Simplified79.3%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6443.5
Simplified43.5%
if 0.99999959999999999 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 98.3%
Applied egg-rr98.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6465.2
Simplified65.2%
Final simplification59.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t))) (t_2 (sqrt (+ x 1.0))))
(if (<= (- t_2 (sqrt x)) 0.9999996)
(+ (/ 1.0 (+ (sqrt x) t_2)) t_1)
(+
t_1
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+
(/ (- (+ 1.0 y) y) (+ (sqrt y) (sqrt (+ 1.0 y))))
(- 1.0 (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((x + 1.0));
double tmp;
if ((t_2 - sqrt(x)) <= 0.9999996) {
tmp = (1.0 / (sqrt(x) + t_2)) + t_1;
} else {
tmp = t_1 + ((sqrt((1.0 + z)) - sqrt(z)) + ((((1.0 + y) - y) / (sqrt(y) + sqrt((1.0 + y)))) + (1.0 - sqrt(x))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + t)) - sqrt(t)
t_2 = sqrt((x + 1.0d0))
if ((t_2 - sqrt(x)) <= 0.9999996d0) then
tmp = (1.0d0 / (sqrt(x) + t_2)) + t_1
else
tmp = t_1 + ((sqrt((1.0d0 + z)) - sqrt(z)) + ((((1.0d0 + y) - y) / (sqrt(y) + sqrt((1.0d0 + y)))) + (1.0d0 - sqrt(x))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_2 = Math.sqrt((x + 1.0));
double tmp;
if ((t_2 - Math.sqrt(x)) <= 0.9999996) {
tmp = (1.0 / (Math.sqrt(x) + t_2)) + t_1;
} else {
tmp = t_1 + ((Math.sqrt((1.0 + z)) - Math.sqrt(z)) + ((((1.0 + y) - y) / (Math.sqrt(y) + Math.sqrt((1.0 + y)))) + (1.0 - Math.sqrt(x))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + t)) - math.sqrt(t) t_2 = math.sqrt((x + 1.0)) tmp = 0 if (t_2 - math.sqrt(x)) <= 0.9999996: tmp = (1.0 / (math.sqrt(x) + t_2)) + t_1 else: tmp = t_1 + ((math.sqrt((1.0 + z)) - math.sqrt(z)) + ((((1.0 + y) - y) / (math.sqrt(y) + math.sqrt((1.0 + y)))) + (1.0 - math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.9999996) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1); else tmp = Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(Float64(Float64(1.0 + y) - y) / Float64(sqrt(y) + sqrt(Float64(1.0 + y)))) + Float64(1.0 - sqrt(x))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + t)) - sqrt(t);
t_2 = sqrt((x + 1.0));
tmp = 0.0;
if ((t_2 - sqrt(x)) <= 0.9999996)
tmp = (1.0 / (sqrt(x) + t_2)) + t_1;
else
tmp = t_1 + ((sqrt((1.0 + z)) - sqrt(z)) + ((((1.0 + y) - y) / (sqrt(y) + sqrt((1.0 + y)))) + (1.0 - sqrt(x))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.9999996], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{x + 1}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.9999996:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_2} + t\_1\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\frac{\left(1 + y\right) - y}{\sqrt{y} + \sqrt{1 + y}} + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.99999959999999999Initial program 86.8%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6487.6
Applied egg-rr87.6%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6449.2
Simplified49.2%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6429.1
Simplified29.1%
if 0.99999959999999999 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 99.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6499.1
Simplified99.1%
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
Applied egg-rr99.1%
Final simplification61.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_2 5e-6)
(+ t_3 (+ t_1 (* 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 x))))))
(+ (+ (+ t_2 (- (sqrt (+ 1.0 y)) (sqrt y))) t_1) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((x + 1.0)) - sqrt(x);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_2 <= 5e-6) {
tmp = t_3 + (t_1 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
} else {
tmp = ((t_2 + (sqrt((1.0 + y)) - sqrt(y))) + t_1) + t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((x + 1.0d0)) - sqrt(x)
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
if (t_2 <= 5d-6) then
tmp = t_3 + (t_1 + (0.5d0 * (sqrt((1.0d0 / y)) + sqrt((1.0d0 / x)))))
else
tmp = ((t_2 + (sqrt((1.0d0 + y)) - sqrt(y))) + t_1) + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0)) - Math.sqrt(x);
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (t_2 <= 5e-6) {
tmp = t_3 + (t_1 + (0.5 * (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / x)))));
} else {
tmp = ((t_2 + (Math.sqrt((1.0 + y)) - Math.sqrt(y))) + t_1) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) - math.sqrt(x) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if t_2 <= 5e-6: tmp = t_3 + (t_1 + (0.5 * (math.sqrt((1.0 / y)) + math.sqrt((1.0 / x))))) else: tmp = ((t_2 + (math.sqrt((1.0 + y)) - math.sqrt(y))) + t_1) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_2 <= 5e-6) tmp = Float64(t_3 + Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / x)))))); else tmp = Float64(Float64(Float64(t_2 + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))) + t_1) + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((x + 1.0)) - sqrt(x);
t_3 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (t_2 <= 5e-6)
tmp = t_3 + (t_1 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
else
tmp = ((t_2 + (sqrt((1.0 + y)) - sqrt(y))) + t_1) + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 5e-6], N[(t$95$3 + N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$2 + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{x + 1} - \sqrt{x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_2 \leq 5 \cdot 10^{-6}:\\
\;\;\;\;t\_3 + \left(t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + \left(\sqrt{1 + y} - \sqrt{y}\right)\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 5.00000000000000041e-6Initial program 85.9%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6446.5
Simplified46.5%
Taylor expanded in x around inf
distribute-lft-outN/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f6449.6
Simplified49.6%
if 5.00000000000000041e-6 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 99.1%
Final simplification74.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0))) (t_2 (sqrt (+ 1.0 y))))
(if (<=
(+ (+ (- t_1 (sqrt x)) (- t_2 (sqrt y))) (- (sqrt (+ 1.0 z)) (sqrt z)))
0.9999999999999989)
(- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (sqrt x))
(+ 1.0 (- (- t_2 (sqrt x)) (sqrt y))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + y));
double tmp;
if ((((t_1 - sqrt(x)) + (t_2 - sqrt(y))) + (sqrt((1.0 + z)) - sqrt(z))) <= 0.9999999999999989) {
tmp = fma(0.5, sqrt((1.0 / z)), t_1) - sqrt(x);
} else {
tmp = 1.0 + ((t_2 - sqrt(x)) - sqrt(y));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(Float64(Float64(t_1 - sqrt(x)) + Float64(t_2 - sqrt(y))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) <= 0.9999999999999989) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - sqrt(x)); else tmp = Float64(1.0 + Float64(Float64(t_2 - sqrt(x)) - sqrt(y))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.9999999999999989], N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + y}\\
\mathbf{if}\;\left(\left(t\_1 - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right) \leq 0.9999999999999989:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 - \sqrt{x}\right) - \sqrt{y}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999999999889Initial program 67.5%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Simplified30.9%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6449.3
Simplified49.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f645.4
Simplified5.4%
if 0.99999999999999889 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.8
Simplified20.8%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6413.7
Simplified13.7%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.0
Simplified25.0%
Final simplification21.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t))) (t_2 (sqrt (+ x 1.0))))
(if (<= (- t_2 (sqrt x)) 0.98)
(+ (/ 1.0 (+ (sqrt x) t_2)) t_1)
(+
t_1
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ (- (sqrt (+ 1.0 y)) (sqrt y)) (fma x 0.5 (- 1.0 (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((x + 1.0));
double tmp;
if ((t_2 - sqrt(x)) <= 0.98) {
tmp = (1.0 / (sqrt(x) + t_2)) + t_1;
} else {
tmp = t_1 + ((sqrt((1.0 + z)) - sqrt(z)) + ((sqrt((1.0 + y)) - sqrt(y)) + fma(x, 0.5, (1.0 - sqrt(x)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.98) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1); else tmp = Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + fma(x, 0.5, Float64(1.0 - sqrt(x)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.98], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(x * 0.5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{x + 1}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.98:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_2} + t\_1\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \mathsf{fma}\left(x, 0.5, 1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.97999999999999998Initial program 86.3%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6487.1
Applied egg-rr87.1%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6449.1
Simplified49.1%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6428.3
Simplified28.3%
if 0.97999999999999998 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 99.2%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6498.8
Simplified98.8%
Final simplification61.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t))) (t_2 (sqrt (+ x 1.0))))
(if (<= (- t_2 (sqrt x)) 0.9999996)
(+ (/ 1.0 (+ (sqrt x) t_2)) t_1)
(+
t_1
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ (- (sqrt (+ 1.0 y)) (sqrt y)) (- 1.0 (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((x + 1.0));
double tmp;
if ((t_2 - sqrt(x)) <= 0.9999996) {
tmp = (1.0 / (sqrt(x) + t_2)) + t_1;
} else {
tmp = t_1 + ((sqrt((1.0 + z)) - sqrt(z)) + ((sqrt((1.0 + y)) - sqrt(y)) + (1.0 - sqrt(x))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + t)) - sqrt(t)
t_2 = sqrt((x + 1.0d0))
if ((t_2 - sqrt(x)) <= 0.9999996d0) then
tmp = (1.0d0 / (sqrt(x) + t_2)) + t_1
else
tmp = t_1 + ((sqrt((1.0d0 + z)) - sqrt(z)) + ((sqrt((1.0d0 + y)) - sqrt(y)) + (1.0d0 - sqrt(x))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_2 = Math.sqrt((x + 1.0));
double tmp;
if ((t_2 - Math.sqrt(x)) <= 0.9999996) {
tmp = (1.0 / (Math.sqrt(x) + t_2)) + t_1;
} else {
tmp = t_1 + ((Math.sqrt((1.0 + z)) - Math.sqrt(z)) + ((Math.sqrt((1.0 + y)) - Math.sqrt(y)) + (1.0 - Math.sqrt(x))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + t)) - math.sqrt(t) t_2 = math.sqrt((x + 1.0)) tmp = 0 if (t_2 - math.sqrt(x)) <= 0.9999996: tmp = (1.0 / (math.sqrt(x) + t_2)) + t_1 else: tmp = t_1 + ((math.sqrt((1.0 + z)) - math.sqrt(z)) + ((math.sqrt((1.0 + y)) - math.sqrt(y)) + (1.0 - math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.9999996) tmp = Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1); else tmp = Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + t)) - sqrt(t);
t_2 = sqrt((x + 1.0));
tmp = 0.0;
if ((t_2 - sqrt(x)) <= 0.9999996)
tmp = (1.0 / (sqrt(x) + t_2)) + t_1;
else
tmp = t_1 + ((sqrt((1.0 + z)) - sqrt(z)) + ((sqrt((1.0 + y)) - sqrt(y)) + (1.0 - sqrt(x))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.9999996], N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{x + 1}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.9999996:\\
\;\;\;\;\frac{1}{\sqrt{x} + t\_2} + t\_1\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.99999959999999999Initial program 86.8%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6487.6
Applied egg-rr87.6%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6449.2
Simplified49.2%
Taylor expanded in z around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6429.1
Simplified29.1%
if 0.99999959999999999 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 99.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6499.1
Simplified99.1%
Final simplification61.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (- (sqrt (+ 1.0 y)) (sqrt x)) (sqrt y))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + ((sqrt((1.0 + y)) - sqrt(x)) - sqrt(y));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 + ((sqrt((1.0d0 + y)) - sqrt(x)) - sqrt(y))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + ((Math.sqrt((1.0 + y)) - Math.sqrt(x)) - Math.sqrt(y));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + ((math.sqrt((1.0 + y)) - math.sqrt(x)) - math.sqrt(y))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(x)) - sqrt(y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + ((sqrt((1.0 + y)) - sqrt(x)) - sqrt(y));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(\left(\sqrt{1 + y} - \sqrt{x}\right) - \sqrt{y}\right)
\end{array}
Initial program 92.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.6
Simplified17.6%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6411.6
Simplified11.6%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6424.0
Simplified24.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (sqrt (+ 1.0 z)) (+ (sqrt x) (sqrt z)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + (sqrt((1.0 + z)) - (sqrt(x) + sqrt(z)));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 + (sqrt((1.0d0 + z)) - (sqrt(x) + sqrt(z)))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + (Math.sqrt((1.0 + z)) - (Math.sqrt(x) + Math.sqrt(z)));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + (math.sqrt((1.0 + z)) - (math.sqrt(x) + math.sqrt(z)))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(sqrt(Float64(1.0 + z)) - Float64(sqrt(x) + sqrt(z)))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + (sqrt((1.0 + z)) - (sqrt(x) + sqrt(z)));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(\sqrt{1 + z} - \left(\sqrt{x} + \sqrt{z}\right)\right)
\end{array}
Initial program 92.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.6
Simplified17.6%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6411.6
Simplified11.6%
Taylor expanded in y around inf
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.6
Simplified25.6%
Final simplification25.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (* 0.5 (sqrt (/ 1.0 y))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 * sqrt((1.0 / y));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 * sqrt((1.0d0 / y))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.5 * Math.sqrt((1.0 / y));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 * math.sqrt((1.0 / y))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 * sqrt(Float64(1.0 / y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 * sqrt((1.0 / y));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
0.5 \cdot \sqrt{\frac{1}{y}}
\end{array}
Initial program 92.4%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6447.8
Simplified47.8%
Taylor expanded in y around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f648.1
Simplified8.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (* -0.125 (* y y)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -0.125 * (y * y);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (-0.125d0) * (y * y)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -0.125 * (y * y);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -0.125 * (y * y)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(-0.125 * Float64(y * y)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -0.125 * (y * y);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
-0.125 \cdot \left(y \cdot y\right)
\end{array}
Initial program 92.4%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6450.4
Simplified50.4%
Taylor expanded in y around inf
lower-*.f64N/A
unpow2N/A
lower-*.f641.8
Simplified1.8%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024208
(FPCore (x y z t)
:name "Main:z from "
:precision binary64
:alt
(! :herbie-platform default (+ (+ (+ (/ 1 (+ (sqrt (+ x 1)) (sqrt x))) (/ 1 (+ (sqrt (+ y 1)) (sqrt y)))) (/ 1 (+ (sqrt (+ z 1)) (sqrt z)))) (- (sqrt (+ t 1)) (sqrt t))))
(+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))