
(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 23 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 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 0.9999999989571969)
(fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt x) t_3)))
(if (<= t_4 2.5)
(-
(+ (/ 1.0 (+ (sqrt z) t_2)) (+ (/ 1.0 (+ (sqrt y) t_1)) t_3))
(sqrt x))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ 1.0 (+ t_1 (- t_2 (+ (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 + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 0.9999999989571969) {
tmp = fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(x) + t_3)));
} else if (t_4 <= 2.5) {
tmp = ((1.0 / (sqrt(z) + t_2)) + ((1.0 / (sqrt(y) + t_1)) + t_3)) - sqrt(x);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (1.0 + (t_1 + (t_2 - (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 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 0.9999999989571969) tmp = fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(x) + t_3))); elseif (t_4 <= 2.5) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_2)) + Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + t_3)) - sqrt(x)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(1.0 + Float64(t_1 + Float64(t_2 - 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[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.9999999989571969], N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.5], N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(t$95$1 + N[(t$95$2 - 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 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.9999999989571969:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{x} + t\_3}\right)\\
\mathbf{elif}\;t\_4 \leq 2.5:\\
\;\;\;\;\left(\frac{1}{\sqrt{z} + t\_2} + \left(\frac{1}{\sqrt{y} + t\_1} + t\_3\right)\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(1 + \left(t\_1 + \left(t\_2 - \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))) < 0.999999998957196934Initial program 64.0%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified25.1%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6448.0
Simplified48.0%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr54.0%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6427.3
Simplified27.3%
if 0.999999998957196934 < (+.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))) < 2.5Initial program 97.1%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6497.4
Applied egg-rr97.4%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f6498.0
Applied egg-rr98.0%
Taylor expanded in t around inf
--lowering--.f64N/A
Simplified31.7%
if 2.5 < (+.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 99.9%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6499.3
Simplified99.3%
Final simplification38.2%
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 z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (sqrt (+ 1.0 z)))
(t_6
(+
(- t_3 (sqrt t))
(+ (- t_5 (sqrt z)) (+ (- t_2 (sqrt x)) (- t_4 (sqrt y)))))))
(if (<= t_6 0.9999999989571969)
(fma 0.5 t_1 (/ 1.0 (+ (sqrt x) t_2)))
(if (<= t_6 2.0001)
(+ t_2 (- (fma 0.5 t_1 t_4) (+ (sqrt x) (sqrt y))))
(if (<= t_6 3.5)
(- (+ (+ t_5 2.0) (/ z (- (sqrt y) (sqrt z)))) (sqrt x))
(+
2.0
(- (+ t_4 t_3) (+ (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 / z));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + t));
double t_4 = sqrt((1.0 + y));
double t_5 = sqrt((1.0 + z));
double t_6 = (t_3 - sqrt(t)) + ((t_5 - sqrt(z)) + ((t_2 - sqrt(x)) + (t_4 - sqrt(y))));
double tmp;
if (t_6 <= 0.9999999989571969) {
tmp = fma(0.5, t_1, (1.0 / (sqrt(x) + t_2)));
} else if (t_6 <= 2.0001) {
tmp = t_2 + (fma(0.5, t_1, t_4) - (sqrt(x) + sqrt(y)));
} else if (t_6 <= 3.5) {
tmp = ((t_5 + 2.0) + (z / (sqrt(y) - sqrt(z)))) - sqrt(x);
} else {
tmp = 2.0 + ((t_4 + t_3) - (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 / z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = sqrt(Float64(1.0 + z)) t_6 = Float64(Float64(t_3 - sqrt(t)) + Float64(Float64(t_5 - sqrt(z)) + Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))))) tmp = 0.0 if (t_6 <= 0.9999999989571969) tmp = fma(0.5, t_1, Float64(1.0 / Float64(sqrt(x) + t_2))); elseif (t_6 <= 2.0001) tmp = Float64(t_2 + Float64(fma(0.5, t_1, t_4) - Float64(sqrt(x) + sqrt(y)))); elseif (t_6 <= 3.5) tmp = Float64(Float64(Float64(t_5 + 2.0) + Float64(z / Float64(sqrt(y) - sqrt(z)))) - sqrt(x)); else tmp = Float64(2.0 + Float64(Float64(t_4 + t_3) - 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 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.9999999989571969], N[(0.5 * t$95$1 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0001], N[(t$95$2 + N[(N[(0.5 * t$95$1 + t$95$4), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 3.5], N[(N[(N[(t$95$5 + 2.0), $MachinePrecision] + N[(z / N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(t$95$4 + t$95$3), $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{\frac{1}{z}}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \sqrt{1 + z}\\
t_6 := \left(t\_3 - \sqrt{t}\right) + \left(\left(t\_5 - \sqrt{z}\right) + \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_6 \leq 0.9999999989571969:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_1, \frac{1}{\sqrt{x} + t\_2}\right)\\
\mathbf{elif}\;t\_6 \leq 2.0001:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, t\_1, t\_4\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{elif}\;t\_6 \leq 3.5:\\
\;\;\;\;\left(\left(t\_5 + 2\right) + \frac{z}{\sqrt{y} - \sqrt{z}}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left(t\_4 + t\_3\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))) < 0.999999998957196934Initial program 28.3%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified5.3%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6421.1
Simplified21.1%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr31.7%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6448.8
Simplified48.8%
if 0.999999998957196934 < (+.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))) < 2.00010000000000021Initial program 96.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6417.2
Simplified17.2%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6421.7
Simplified21.7%
if 2.00010000000000021 < (+.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 98.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6425.8
Simplified25.8%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6426.0
Applied egg-rr26.0%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6443.4
Simplified43.4%
Taylor expanded in x around 0
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6432.7
Simplified32.7%
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 99.8%
Taylor expanded in z around 0
associate--r+N/A
--lowering--.f64N/A
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6499.8
Simplified99.8%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6498.9
Simplified98.9%
Final simplification31.3%
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 y)))
(t_4 (sqrt (+ 1.0 z)))
(t_5
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- t_4 (sqrt z)) (+ (- t_2 (sqrt x)) (- t_3 (sqrt y)))))))
(if (<= t_5 0.9999999989571969)
(fma 0.5 t_1 (/ 1.0 (+ (sqrt x) t_2)))
(if (<= t_5 2.0001)
(+ t_2 (- (fma 0.5 t_1 t_3) (+ (sqrt x) (sqrt y))))
(- (+ (+ t_4 2.0) (/ z (- (sqrt y) (sqrt z)))) (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 / z));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((1.0 + z));
double t_5 = (sqrt((1.0 + t)) - sqrt(t)) + ((t_4 - sqrt(z)) + ((t_2 - sqrt(x)) + (t_3 - sqrt(y))));
double tmp;
if (t_5 <= 0.9999999989571969) {
tmp = fma(0.5, t_1, (1.0 / (sqrt(x) + t_2)));
} else if (t_5 <= 2.0001) {
tmp = t_2 + (fma(0.5, t_1, t_3) - (sqrt(x) + sqrt(y)));
} else {
tmp = ((t_4 + 2.0) + (z / (sqrt(y) - sqrt(z)))) - sqrt(x);
}
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 = sqrt(Float64(1.0 + z)) t_5 = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(t_2 - sqrt(x)) + Float64(t_3 - sqrt(y))))) tmp = 0.0 if (t_5 <= 0.9999999989571969) tmp = fma(0.5, t_1, Float64(1.0 / Float64(sqrt(x) + t_2))); elseif (t_5 <= 2.0001) tmp = Float64(t_2 + Float64(fma(0.5, t_1, t_3) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(Float64(t_4 + 2.0) + Float64(z / Float64(sqrt(y) - sqrt(z)))) - 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[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[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.9999999989571969], N[(0.5 * t$95$1 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(t$95$2 + N[(N[(0.5 * t$95$1 + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 2.0), $MachinePrecision] + N[(z / N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{\frac{1}{z}}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{1 + z}\\
t_5 := \left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_4 - \sqrt{z}\right) + \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_5 \leq 0.9999999989571969:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_1, \frac{1}{\sqrt{x} + t\_2}\right)\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, t\_1, t\_3\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 2\right) + \frac{z}{\sqrt{y} - \sqrt{z}}\right) - \sqrt{x}\\
\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))) < 0.999999998957196934Initial program 28.3%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified5.3%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6421.1
Simplified21.1%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr31.7%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6448.8
Simplified48.8%
if 0.999999998957196934 < (+.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))) < 2.00010000000000021Initial program 96.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6417.2
Simplified17.2%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6421.7
Simplified21.7%
if 2.00010000000000021 < (+.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 98.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6424.6
Simplified24.6%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6424.7
Applied egg-rr24.7%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6438.3
Simplified38.3%
Taylor expanded in x around 0
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6430.0
Simplified30.0%
Final simplification26.1%
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 (- t_1 (sqrt x)))
(t_3 (sqrt (+ 1.0 y)))
(t_4
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- (sqrt (+ 1.0 z)) (sqrt z)) (+ t_2 (- t_3 (sqrt y)))))))
(if (<= t_4 1.0005)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(if (<= t_4 2.5)
(- (+ t_3 (fma x 0.5 1.0)) (+ (sqrt x) (sqrt y)))
(+ t_2 2.0)))))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 = t_1 - sqrt(x);
double t_3 = sqrt((1.0 + y));
double t_4 = (sqrt((1.0 + t)) - sqrt(t)) + ((sqrt((1.0 + z)) - sqrt(z)) + (t_2 + (t_3 - sqrt(y))));
double tmp;
if (t_4 <= 1.0005) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else if (t_4 <= 2.5) {
tmp = (t_3 + fma(x, 0.5, 1.0)) - (sqrt(x) + sqrt(y));
} else {
tmp = t_2 + 2.0;
}
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 = Float64(t_1 - sqrt(x)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(t_2 + Float64(t_3 - sqrt(y))))) tmp = 0.0 if (t_4 <= 1.0005) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); elseif (t_4 <= 2.5) tmp = Float64(Float64(t_3 + fma(x, 0.5, 1.0)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(t_2 + 2.0); 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[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0005], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.5], N[(N[(t$95$3 + N[(x * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + 2.0), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := t\_1 - \sqrt{x}\\
t_3 := \sqrt{1 + y}\\
t_4 := \left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(t\_2 + \left(t\_3 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_4 \leq 1.0005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.5:\\
\;\;\;\;\left(t\_3 + \mathsf{fma}\left(x, 0.5, 1\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + 2\\
\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))) < 1.00049999999999994Initial program 79.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f644.8
Simplified4.8%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6421.9
Simplified21.9%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6423.2
Simplified23.2%
if 1.00049999999999994 < (+.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 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.7
Simplified23.7%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6420.6
Simplified20.6%
Taylor expanded in x around 0
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6416.2
Simplified16.2%
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 99.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6425.0
Simplified25.0%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6425.2
Applied egg-rr25.2%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6437.9
Simplified37.9%
Taylor expanded in z around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6461.7
Simplified61.7%
Final simplification30.9%
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 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (/ 1.0 z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_5 0.9999999989571969)
(fma 0.5 t_3 (/ 1.0 (+ (sqrt x) t_4)))
(if (<= t_5 2.0001)
(+ t_4 (- (fma 0.5 t_3 t_1) (+ (sqrt x) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ 1.0 (+ t_1 (- t_2 (+ (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((1.0 / z));
double t_4 = sqrt((x + 1.0));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_5 <= 0.9999999989571969) {
tmp = fma(0.5, t_3, (1.0 / (sqrt(x) + t_4)));
} else if (t_5 <= 2.0001) {
tmp = t_4 + (fma(0.5, t_3, t_1) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (1.0 + (t_1 + (t_2 - (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 = sqrt(Float64(1.0 / z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_5 <= 0.9999999989571969) tmp = fma(0.5, t_3, Float64(1.0 / Float64(sqrt(x) + t_4))); elseif (t_5 <= 2.0001) tmp = Float64(t_4 + Float64(fma(0.5, t_3, t_1) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(1.0 + Float64(t_1 + Float64(t_2 - 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[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.9999999989571969], N[(0.5 * t$95$3 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(t$95$4 + N[(N[(0.5 * t$95$3 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(t$95$1 + N[(t$95$2 - 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 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{\frac{1}{z}}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_5 \leq 0.9999999989571969:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_3, \frac{1}{\sqrt{x} + t\_4}\right)\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;t\_4 + \left(\mathsf{fma}\left(0.5, t\_3, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(1 + \left(t\_1 + \left(t\_2 - \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))) < 0.999999998957196934Initial program 64.0%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified25.1%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6448.0
Simplified48.0%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr54.0%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6427.3
Simplified27.3%
if 0.999999998957196934 < (+.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))) < 2.00010000000000021Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6416.7
Simplified16.7%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6421.4
Simplified21.4%
if 2.00010000000000021 < (+.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 99.6%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6495.8
Simplified95.8%
Final simplification30.5%
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 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 1.0)
(fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt x) t_3)))
(if (<= t_4 2.0)
(- (- (+ t_1 t_3) (sqrt y)) (sqrt x))
(- (+ t_2 (+ 1.0 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((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.0) {
tmp = fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(x) + t_3)));
} else if (t_4 <= 2.0) {
tmp = ((t_1 + t_3) - sqrt(y)) - sqrt(x);
} else {
tmp = (t_2 + (1.0 + 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(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 1.0) tmp = fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(x) + t_3))); elseif (t_4 <= 2.0) tmp = Float64(Float64(Float64(t_1 + t_3) - sqrt(y)) - sqrt(x)); else tmp = Float64(Float64(t_2 + Float64(1.0 + t_1)) - 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[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(N[(t$95$1 + t$95$3), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $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 + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{x} + t\_3}\right)\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(\left(t\_1 + t\_3\right) - \sqrt{y}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + \left(1 + t\_1\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\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 86.7%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified35.0%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6438.8
Simplified38.8%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr41.2%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6425.3
Simplified25.3%
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))) < 2Initial program 96.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6424.8
Simplified24.8%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6422.5
Simplified22.5%
associate-+r-N/A
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.1
Applied egg-rr18.1%
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 99.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6451.3
Simplified51.3%
Taylor expanded in x around 0
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6448.1
Simplified48.1%
Final simplification24.6%
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 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 1.0)
(fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt x) t_3)))
(if (<= t_4 2.0)
(- (- (+ t_1 t_3) (sqrt y)) (sqrt x))
(- (+ (+ t_2 2.0) (/ z (- (sqrt y) (sqrt z)))) (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 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.0) {
tmp = fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(x) + t_3)));
} else if (t_4 <= 2.0) {
tmp = ((t_1 + t_3) - sqrt(y)) - sqrt(x);
} else {
tmp = ((t_2 + 2.0) + (z / (sqrt(y) - sqrt(z)))) - sqrt(x);
}
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 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 1.0) tmp = fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(x) + t_3))); elseif (t_4 <= 2.0) tmp = Float64(Float64(Float64(t_1 + t_3) - sqrt(y)) - sqrt(x)); else tmp = Float64(Float64(Float64(t_2 + 2.0) + Float64(z / Float64(sqrt(y) - sqrt(z)))) - 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[Sqrt[N[(1.0 + 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[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(N[(t$95$1 + t$95$3), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$2 + 2.0), $MachinePrecision] + N[(z / N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $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 + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{x} + t\_3}\right)\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(\left(t\_1 + t\_3\right) - \sqrt{y}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + 2\right) + \frac{z}{\sqrt{y} - \sqrt{z}}\right) - \sqrt{x}\\
\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 86.7%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified35.0%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6438.8
Simplified38.8%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr41.2%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6425.3
Simplified25.3%
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))) < 2Initial program 96.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6424.8
Simplified24.8%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6422.5
Simplified22.5%
associate-+r-N/A
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.1
Applied egg-rr18.1%
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 99.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6451.3
Simplified51.3%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6451.3
Applied egg-rr51.3%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6448.7
Simplified48.7%
Taylor expanded in x around 0
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6445.5
Simplified45.5%
Final simplification24.4%
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 y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ t_2 (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 1.0)
(fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt x) t_3)))
(if (<= t_4 1.9999999999999998)
(- (- (+ t_1 t_3) (sqrt y)) (sqrt x))
(+ 1.0 (- (+ t_2 t_3) (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 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.0) {
tmp = fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(x) + t_3)));
} else if (t_4 <= 1.9999999999999998) {
tmp = ((t_1 + t_3) - sqrt(y)) - sqrt(x);
} else {
tmp = 1.0 + ((t_2 + t_3) - sqrt(x));
}
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(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 1.0) tmp = fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(x) + t_3))); elseif (t_4 <= 1.9999999999999998) tmp = Float64(Float64(Float64(t_1 + t_3) - sqrt(y)) - sqrt(x)); else tmp = Float64(1.0 + Float64(Float64(t_2 + t_3) - 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[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.9999999999999998], N[(N[(N[(t$95$1 + t$95$3), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 + t$95$3), $MachinePrecision] - N[Sqrt[x], $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} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{x} + t\_3}\right)\\
\mathbf{elif}\;t\_4 \leq 1.9999999999999998:\\
\;\;\;\;\left(\left(t\_1 + t\_3\right) - \sqrt{y}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 + t\_3\right) - \sqrt{x}\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 86.7%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified35.0%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6438.8
Simplified38.8%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr41.2%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6425.3
Simplified25.3%
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))) < 1.99999999999999978Initial program 91.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6415.7
Simplified15.7%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6415.9
Simplified15.9%
associate-+r-N/A
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6410.8
Applied egg-rr10.8%
if 1.99999999999999978 < (+.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 98.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.2
Simplified34.2%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.4
Applied egg-rr34.4%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.2
Simplified34.2%
Taylor expanded in z around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
sqrt-lowering-sqrt.f6441.1
Simplified41.1%
Final simplification30.3%
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)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ t_2 (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 1.0005)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_3) (sqrt x))
(if (<= t_4 1.9999999999999998)
(- (- (+ t_1 t_3) (sqrt y)) (sqrt x))
(+ 1.0 (- (+ t_2 t_3) (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 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.0005) {
tmp = fma(0.5, sqrt((1.0 / y)), t_3) - sqrt(x);
} else if (t_4 <= 1.9999999999999998) {
tmp = ((t_1 + t_3) - sqrt(y)) - sqrt(x);
} else {
tmp = 1.0 + ((t_2 + t_3) - sqrt(x));
}
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(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 1.0005) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_3) - sqrt(x)); elseif (t_4 <= 1.9999999999999998) tmp = Float64(Float64(Float64(t_1 + t_3) - sqrt(y)) - sqrt(x)); else tmp = Float64(1.0 + Float64(Float64(t_2 + t_3) - 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[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0005], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.9999999999999998], N[(N[(N[(t$95$1 + t$95$3), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 + t$95$3), $MachinePrecision] - N[Sqrt[x], $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} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1.0005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 1.9999999999999998:\\
\;\;\;\;\left(\left(t\_1 + t\_3\right) - \sqrt{y}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 + t\_3\right) - \sqrt{x}\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))) < 1.00049999999999994Initial program 85.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f644.7
Simplified4.7%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6417.0
Simplified17.0%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6417.4
Simplified17.4%
if 1.00049999999999994 < (+.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))) < 1.99999999999999978Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6417.8
Simplified17.8%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6417.7
Simplified17.7%
associate-+r-N/A
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6411.8
Applied egg-rr11.8%
if 1.99999999999999978 < (+.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 98.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.2
Simplified34.2%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.4
Applied egg-rr34.4%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.2
Simplified34.2%
Taylor expanded in z around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
sqrt-lowering-sqrt.f6441.1
Simplified41.1%
Final simplification27.0%
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 (+ x 1.0)))
(t_2 (- t_1 (sqrt x)))
(t_3
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ t_2 (- (sqrt (+ 1.0 y)) (sqrt y))))))
(if (<= t_3 1.5)
t_2
(if (<= t_3 2.5) (+ 1.0 (- (+ t_1 (* z 0.0)) (sqrt x))) (+ t_2 2.0)))))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 = t_1 - sqrt(x);
double t_3 = (sqrt((1.0 + z)) - sqrt(z)) + (t_2 + (sqrt((1.0 + y)) - sqrt(y)));
double tmp;
if (t_3 <= 1.5) {
tmp = t_2;
} else if (t_3 <= 2.5) {
tmp = 1.0 + ((t_1 + (z * 0.0)) - sqrt(x));
} else {
tmp = t_2 + 2.0;
}
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((x + 1.0d0))
t_2 = t_1 - sqrt(x)
t_3 = (sqrt((1.0d0 + z)) - sqrt(z)) + (t_2 + (sqrt((1.0d0 + y)) - sqrt(y)))
if (t_3 <= 1.5d0) then
tmp = t_2
else if (t_3 <= 2.5d0) then
tmp = 1.0d0 + ((t_1 + (z * 0.0d0)) - sqrt(x))
else
tmp = t_2 + 2.0d0
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((x + 1.0));
double t_2 = t_1 - Math.sqrt(x);
double t_3 = (Math.sqrt((1.0 + z)) - Math.sqrt(z)) + (t_2 + (Math.sqrt((1.0 + y)) - Math.sqrt(y)));
double tmp;
if (t_3 <= 1.5) {
tmp = t_2;
} else if (t_3 <= 2.5) {
tmp = 1.0 + ((t_1 + (z * 0.0)) - Math.sqrt(x));
} else {
tmp = t_2 + 2.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = t_1 - math.sqrt(x) t_3 = (math.sqrt((1.0 + z)) - math.sqrt(z)) + (t_2 + (math.sqrt((1.0 + y)) - math.sqrt(y))) tmp = 0 if t_3 <= 1.5: tmp = t_2 elif t_3 <= 2.5: tmp = 1.0 + ((t_1 + (z * 0.0)) - math.sqrt(x)) else: tmp = t_2 + 2.0 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 = Float64(t_1 - sqrt(x)) t_3 = Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(t_2 + Float64(sqrt(Float64(1.0 + y)) - sqrt(y)))) tmp = 0.0 if (t_3 <= 1.5) tmp = t_2; elseif (t_3 <= 2.5) tmp = Float64(1.0 + Float64(Float64(t_1 + Float64(z * 0.0)) - sqrt(x))); else tmp = Float64(t_2 + 2.0); 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((x + 1.0));
t_2 = t_1 - sqrt(x);
t_3 = (sqrt((1.0 + z)) - sqrt(z)) + (t_2 + (sqrt((1.0 + y)) - sqrt(y)));
tmp = 0.0;
if (t_3 <= 1.5)
tmp = t_2;
elseif (t_3 <= 2.5)
tmp = 1.0 + ((t_1 + (z * 0.0)) - sqrt(x));
else
tmp = t_2 + 2.0;
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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 1.5], t$95$2, If[LessEqual[t$95$3, 2.5], N[(1.0 + N[(N[(t$95$1 + N[(z * 0.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + 2.0), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := t\_1 - \sqrt{x}\\
t_3 := \left(\sqrt{1 + z} - \sqrt{z}\right) + \left(t\_2 + \left(\sqrt{1 + y} - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_3 \leq 1.5:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;t\_3 \leq 2.5:\\
\;\;\;\;1 + \left(\left(t\_1 + z \cdot 0\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + 2\\
\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))) < 1.5Initial program 86.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f645.0
Simplified5.0%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6416.6
Simplified16.6%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6416.5
Simplified16.5%
if 1.5 < (+.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))) < 2.5Initial program 97.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6427.5
Simplified27.5%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6427.6
Applied egg-rr27.6%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6430.3
Simplified30.3%
Taylor expanded in z around inf
distribute-rgt1-inN/A
metadata-evalN/A
mul0-lftN/A
*-lowering-*.f6442.7
Simplified42.7%
if 2.5 < (+.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 99.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6449.8
Simplified49.8%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6449.8
Applied egg-rr49.8%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6447.2
Simplified47.2%
Taylor expanded in z around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6447.2
Simplified47.2%
Final simplification30.0%
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)) (sqrt z)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (/ 1.0 (+ (sqrt y) t_3))))
(if (<= (+ t_1 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_3 (sqrt y)))) 0.0001)
(+ t_2 (+ (fma 0.5 (sqrt (/ 1.0 x)) t_4) t_1))
(+ t_2 (+ t_1 (- (+ t_4 (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 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + y));
double t_4 = 1.0 / (sqrt(y) + t_3);
double tmp;
if ((t_1 + ((sqrt((x + 1.0)) - sqrt(x)) + (t_3 - sqrt(y)))) <= 0.0001) {
tmp = t_2 + (fma(0.5, sqrt((1.0 / x)), t_4) + t_1);
} else {
tmp = t_2 + (t_1 + ((t_4 + 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 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(1.0 / Float64(sqrt(y) + t_3)) tmp = 0.0 if (Float64(t_1 + Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_3 - sqrt(y)))) <= 0.0001) tmp = Float64(t_2 + Float64(fma(0.5, sqrt(Float64(1.0 / x)), t_4) + t_1)); else tmp = Float64(t_2 + Float64(t_1 + Float64(Float64(t_4 + fma(x, 0.5, 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 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$1 + N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.0001], N[(t$95$2 + N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(t$95$1 + N[(N[(t$95$4 + N[(x * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] - 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 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + y}\\
t_4 := \frac{1}{\sqrt{y} + t\_3}\\
\mathbf{if}\;t\_1 + \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) \leq 0.0001:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{x}}, t\_4\right) + t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(t\_1 + \left(\left(t\_4 + \mathsf{fma}\left(x, 0.5, 1\right)\right) - \sqrt{x}\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))) < 1.00000000000000005e-4Initial program 52.4%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6457.2
Applied egg-rr57.2%
Taylor expanded in x around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6489.6
Simplified89.6%
if 1.00000000000000005e-4 < (+.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 97.3%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6497.5
Applied egg-rr97.5%
Taylor expanded in x around 0
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6453.5
Simplified53.5%
Final simplification57.6%
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)) (sqrt z)))
(t_3 (sqrt (+ x 1.0))))
(if (<= (+ t_2 (+ (- t_3 (sqrt x)) (- t_1 (sqrt y)))) 0.9999999989571969)
(fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt x) t_3)))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_2 (- (+ (/ 1.0 (+ (sqrt y) t_1)) (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 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double tmp;
if ((t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))) <= 0.9999999989571969) {
tmp = fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(x) + t_3)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + (((1.0 / (sqrt(y) + t_1)) + 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 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) <= 0.9999999989571969) tmp = fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(x) + t_3))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_2 + Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + fma(x, 0.5, 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[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.9999999989571969], N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(x * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] - 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 + y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
\mathbf{if}\;t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) \leq 0.9999999989571969:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{x} + t\_3}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_2 + \left(\left(\frac{1}{\sqrt{y} + t\_1} + \mathsf{fma}\left(x, 0.5, 1\right)\right) - \sqrt{x}\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))) < 0.999999998957196934Initial program 64.0%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified25.1%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6448.0
Simplified48.0%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr54.0%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6427.3
Simplified27.3%
if 0.999999998957196934 < (+.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 97.4%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6497.7
Applied egg-rr97.7%
Taylor expanded in x around 0
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6454.6
Simplified54.6%
Final simplification50.4%
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 y)) (sqrt y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ x 1.0))))
(if (<= (+ t_2 (+ (- t_3 (sqrt x)) t_1)) 0.0001)
(fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt x) t_3)))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_2 (+ t_1 (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 + y)) - sqrt(y);
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double tmp;
if ((t_2 + ((t_3 - sqrt(x)) + t_1)) <= 0.0001) {
tmp = fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(x) + t_3)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + (t_1 + 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 + y)) - sqrt(y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + t_1)) <= 0.0001) tmp = fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(x) + t_3))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_2 + Float64(t_1 + 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 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], 0.0001], N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(t$95$1 + 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 + y} - \sqrt{y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
\mathbf{if}\;t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + t\_1\right) \leq 0.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{x} + t\_3}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_2 + \left(t\_1 + \mathsf{fma}\left(x, 0.5, 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))) < 1.00000000000000005e-4Initial program 52.4%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified23.6%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6447.6
Simplified47.6%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr54.8%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6426.9
Simplified26.9%
if 1.00000000000000005e-4 < (+.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 97.3%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6453.1
Simplified53.1%
Final simplification50.1%
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 y) (sqrt (+ 1.0 y))))
(t_2 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_3 (+ (sqrt z) (sqrt (+ 1.0 z))))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_2 1e-5)
(+ (+ (fma 0.5 (sqrt (/ 1.0 x)) (/ 1.0 t_1)) (/ 1.0 t_3)) t_4)
(+ t_4 (+ (+ t_2 (/ (- (+ 1.0 y) y) t_1)) (/ (- (+ 1.0 z) z) t_3))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0)) - sqrt(x);
double t_3 = sqrt(z) + sqrt((1.0 + z));
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_2 <= 1e-5) {
tmp = (fma(0.5, sqrt((1.0 / x)), (1.0 / t_1)) + (1.0 / t_3)) + t_4;
} else {
tmp = t_4 + ((t_2 + (((1.0 + y) - y) / t_1)) + (((1.0 + z) - z) / t_3));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(Float64(1.0 + y))) t_2 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_3 = Float64(sqrt(z) + sqrt(Float64(1.0 + z))) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_2 <= 1e-5) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / x)), Float64(1.0 / t_1)) + Float64(1.0 / t_3)) + t_4); else tmp = Float64(t_4 + Float64(Float64(t_2 + Float64(Float64(Float64(1.0 + y) - y) / t_1)) + Float64(Float64(Float64(1.0 + z) - 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[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $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[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 1e-5], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(1.0 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.0 / t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(t$95$4 + N[(N[(t$95$2 + N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - 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{y} + \sqrt{1 + y}\\
t_2 := \sqrt{x + 1} - \sqrt{x}\\
t_3 := \sqrt{z} + \sqrt{1 + z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_2 \leq 10^{-5}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{x}}, \frac{1}{t\_1}\right) + \frac{1}{t\_3}\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(\left(t\_2 + \frac{\left(1 + y\right) - y}{t\_1}\right) + \frac{\left(1 + z\right) - z}{t\_3}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 1.00000000000000008e-5Initial program 87.2%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6488.4
Applied egg-rr88.4%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f6489.5
Applied egg-rr89.5%
Taylor expanded in x around inf
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6498.0
Simplified98.0%
if 1.00000000000000008e-5 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.7%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6497.9
Applied egg-rr97.9%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f6498.1
Applied egg-rr98.1%
Final simplification98.0%
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 (/ 1.0 (+ (sqrt y) (sqrt (+ 1.0 y)))))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- (sqrt (+ x 1.0)) (sqrt x)) 0.0001)
(+ (+ (fma 0.5 (sqrt (/ 1.0 x)) t_1) (/ 1.0 (+ (sqrt z) t_2))) t_3)
(+
t_3
(+
(+ 1.0 (- (fma x (fma x -0.125 0.5) t_1) (sqrt x)))
(- t_2 (sqrt z)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = 1.0 / (sqrt(y) + sqrt((1.0 + y)));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((sqrt((x + 1.0)) - sqrt(x)) <= 0.0001) {
tmp = (fma(0.5, sqrt((1.0 / x)), t_1) + (1.0 / (sqrt(z) + t_2))) + t_3;
} else {
tmp = t_3 + ((1.0 + (fma(x, fma(x, -0.125, 0.5), t_1) - sqrt(x))) + (t_2 - sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y)))) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) <= 0.0001) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / x)), t_1) + Float64(1.0 / Float64(sqrt(z) + t_2))) + t_3); else tmp = Float64(t_3 + Float64(Float64(1.0 + Float64(fma(x, fma(x, -0.125, 0.5), t_1) - sqrt(x))) + 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[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $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]}, If[LessEqual[N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.0001], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(t$95$3 + N[(N[(1.0 + N[(N[(x * N[(x * -0.125 + 0.5), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \frac{1}{\sqrt{y} + \sqrt{1 + y}}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;\sqrt{x + 1} - \sqrt{x} \leq 0.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{x}}, t\_1\right) + \frac{1}{\sqrt{z} + t\_2}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(1 + \left(\mathsf{fma}\left(x, \mathsf{fma}\left(x, -0.125, 0.5\right), t\_1\right) - \sqrt{x}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 1.00000000000000005e-4Initial program 87.2%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6488.4
Applied egg-rr88.4%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f6489.5
Applied egg-rr89.5%
Taylor expanded in x around inf
associate-+r+N/A
+-lowering-+.f64N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6498.0
Simplified98.0%
if 1.00000000000000005e-4 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.7%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6497.9
Applied egg-rr97.9%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6494.5
Simplified94.5%
Final simplification96.3%
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 1.0)) (sqrt x))) (t_2 (sqrt (+ 1.0 y))))
(if (<=
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- (sqrt (+ 1.0 z)) (sqrt z)) (+ t_1 (- t_2 (sqrt y)))))
2.5)
(+ 1.0 (- t_2 (+ (sqrt x) (sqrt y))))
(+ t_1 2.0))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0)) - sqrt(x);
double t_2 = sqrt((1.0 + y));
double tmp;
if (((sqrt((1.0 + t)) - sqrt(t)) + ((sqrt((1.0 + z)) - sqrt(z)) + (t_1 + (t_2 - sqrt(y))))) <= 2.5) {
tmp = 1.0 + (t_2 - (sqrt(x) + sqrt(y)));
} else {
tmp = t_1 + 2.0;
}
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((x + 1.0d0)) - sqrt(x)
t_2 = sqrt((1.0d0 + y))
if (((sqrt((1.0d0 + t)) - sqrt(t)) + ((sqrt((1.0d0 + z)) - sqrt(z)) + (t_1 + (t_2 - sqrt(y))))) <= 2.5d0) then
tmp = 1.0d0 + (t_2 - (sqrt(x) + sqrt(y)))
else
tmp = t_1 + 2.0d0
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((x + 1.0)) - Math.sqrt(x);
double t_2 = Math.sqrt((1.0 + y));
double tmp;
if (((Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((Math.sqrt((1.0 + z)) - Math.sqrt(z)) + (t_1 + (t_2 - Math.sqrt(y))))) <= 2.5) {
tmp = 1.0 + (t_2 - (Math.sqrt(x) + Math.sqrt(y)));
} else {
tmp = t_1 + 2.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) - math.sqrt(x) t_2 = math.sqrt((1.0 + y)) tmp = 0 if ((math.sqrt((1.0 + t)) - math.sqrt(t)) + ((math.sqrt((1.0 + z)) - math.sqrt(z)) + (t_1 + (t_2 - math.sqrt(y))))) <= 2.5: tmp = 1.0 + (t_2 - (math.sqrt(x) + math.sqrt(y))) else: tmp = t_1 + 2.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_2 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(t_1 + Float64(t_2 - sqrt(y))))) <= 2.5) tmp = Float64(1.0 + Float64(t_2 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(t_1 + 2.0); 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((x + 1.0)) - sqrt(x);
t_2 = sqrt((1.0 + y));
tmp = 0.0;
if (((sqrt((1.0 + t)) - sqrt(t)) + ((sqrt((1.0 + z)) - sqrt(z)) + (t_1 + (t_2 - sqrt(y))))) <= 2.5)
tmp = 1.0 + (t_2 - (sqrt(x) + sqrt(y)));
else
tmp = t_1 + 2.0;
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[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.5], N[(1.0 + N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + 2.0), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1} - \sqrt{x}\\
t_2 := \sqrt{1 + y}\\
\mathbf{if}\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(t\_1 + \left(t\_2 - \sqrt{y}\right)\right)\right) \leq 2.5:\\
\;\;\;\;1 + \left(t\_2 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + 2\\
\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))) < 2.5Initial program 89.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6416.0
Simplified16.0%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6421.1
Simplified21.1%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6424.3
Simplified24.3%
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 99.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6425.0
Simplified25.0%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6425.2
Applied egg-rr25.2%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6437.9
Simplified37.9%
Taylor expanded in z around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6461.7
Simplified61.7%
Final simplification34.7%
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 (/ 1.0 (+ (sqrt y) (sqrt (+ 1.0 y)))))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (- (sqrt (+ 1.0 z)) (sqrt z))))
(if (<= (- (sqrt (+ x 1.0)) (sqrt x)) 0.0001)
(+ t_2 (+ (fma 0.5 (sqrt (/ 1.0 x)) t_1) t_3))
(+ t_2 (+ (+ 1.0 (- (fma x (fma x -0.125 0.5) t_1) (sqrt x))) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = 1.0 / (sqrt(y) + sqrt((1.0 + y)));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + z)) - sqrt(z);
double tmp;
if ((sqrt((x + 1.0)) - sqrt(x)) <= 0.0001) {
tmp = t_2 + (fma(0.5, sqrt((1.0 / x)), t_1) + t_3);
} else {
tmp = t_2 + ((1.0 + (fma(x, fma(x, -0.125, 0.5), t_1) - sqrt(x))) + t_3);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y)))) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) tmp = 0.0 if (Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) <= 0.0001) tmp = Float64(t_2 + Float64(fma(0.5, sqrt(Float64(1.0 / x)), t_1) + t_3)); else tmp = Float64(t_2 + Float64(Float64(1.0 + Float64(fma(x, fma(x, -0.125, 0.5), t_1) - sqrt(x))) + 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[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.0001], N[(t$95$2 + N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(1.0 + N[(N[(x * N[(x * -0.125 + 0.5), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \frac{1}{\sqrt{y} + \sqrt{1 + y}}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + z} - \sqrt{z}\\
\mathbf{if}\;\sqrt{x + 1} - \sqrt{x} \leq 0.0001:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{x}}, t\_1\right) + t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(1 + \left(\mathsf{fma}\left(x, \mathsf{fma}\left(x, -0.125, 0.5\right), t\_1\right) - \sqrt{x}\right)\right) + t\_3\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 1.00000000000000005e-4Initial program 87.2%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6488.4
Applied egg-rr88.4%
Taylor expanded in x around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6496.0
Simplified96.0%
if 1.00000000000000005e-4 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.7%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6497.9
Applied egg-rr97.9%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6494.5
Simplified94.5%
Final simplification95.2%
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 y)) (sqrt y))))
(if (<= t_1 0.0)
(fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt x) (sqrt (+ x 1.0)))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- (sqrt (+ 1.0 z)) (sqrt z)) (- t_1 (+ (sqrt x) -1.0)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y)) - sqrt(y);
double tmp;
if (t_1 <= 0.0) {
tmp = fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(x) + sqrt((x + 1.0)))));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((sqrt((1.0 + z)) - sqrt(z)) + (t_1 - (sqrt(x) + -1.0)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) tmp = 0.0 if (t_1 <= 0.0) tmp = fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(x + 1.0))))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(t_1 - Float64(sqrt(x) + -1.0)))); 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 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.0], N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + -1.0), $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} - \sqrt{y}\\
\mathbf{if}\;t\_1 \leq 0:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{x} + \sqrt{x + 1}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(t\_1 - \left(\sqrt{x} + -1\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 87.1%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified12.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6438.7
Simplified38.7%
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
flip--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr40.6%
Taylor expanded in t around inf
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6425.7
Simplified25.7%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6444.1
Simplified44.1%
Final simplification36.0%
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 (+ x 1.0)) (sqrt x))))
(if (<=
(+ (- (sqrt (+ 1.0 z)) (sqrt z)) (+ t_1 (- (sqrt (+ 1.0 y)) (sqrt y))))
1.5)
t_1
(+ t_1 2.0))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0)) - sqrt(x);
double tmp;
if (((sqrt((1.0 + z)) - sqrt(z)) + (t_1 + (sqrt((1.0 + y)) - sqrt(y)))) <= 1.5) {
tmp = t_1;
} else {
tmp = t_1 + 2.0;
}
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) :: tmp
t_1 = sqrt((x + 1.0d0)) - sqrt(x)
if (((sqrt((1.0d0 + z)) - sqrt(z)) + (t_1 + (sqrt((1.0d0 + y)) - sqrt(y)))) <= 1.5d0) then
tmp = t_1
else
tmp = t_1 + 2.0d0
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((x + 1.0)) - Math.sqrt(x);
double tmp;
if (((Math.sqrt((1.0 + z)) - Math.sqrt(z)) + (t_1 + (Math.sqrt((1.0 + y)) - Math.sqrt(y)))) <= 1.5) {
tmp = t_1;
} else {
tmp = t_1 + 2.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) - math.sqrt(x) tmp = 0 if ((math.sqrt((1.0 + z)) - math.sqrt(z)) + (t_1 + (math.sqrt((1.0 + y)) - math.sqrt(y)))) <= 1.5: tmp = t_1 else: tmp = t_1 + 2.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(t_1 + Float64(sqrt(Float64(1.0 + y)) - sqrt(y)))) <= 1.5) tmp = t_1; else tmp = Float64(t_1 + 2.0); 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((x + 1.0)) - sqrt(x);
tmp = 0.0;
if (((sqrt((1.0 + z)) - sqrt(z)) + (t_1 + (sqrt((1.0 + y)) - sqrt(y)))) <= 1.5)
tmp = t_1;
else
tmp = t_1 + 2.0;
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[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.5], t$95$1, N[(t$95$1 + 2.0), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1} - \sqrt{x}\\
\mathbf{if}\;\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(t\_1 + \left(\sqrt{1 + y} - \sqrt{y}\right)\right) \leq 1.5:\\
\;\;\;\;t\_1\\
\mathbf{else}:\\
\;\;\;\;t\_1 + 2\\
\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))) < 1.5Initial program 86.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f645.0
Simplified5.0%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6416.6
Simplified16.6%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6416.5
Simplified16.5%
if 1.5 < (+.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
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6432.2
Simplified32.2%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6432.3
Applied egg-rr32.3%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.9
Simplified33.9%
Taylor expanded in z around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6456.5
Simplified56.5%
Final simplification36.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt (+ x 1.0)) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt((x + 1.0)) - sqrt(x);
}
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 = sqrt((x + 1.0d0)) - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt((x + 1.0)) - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt((x + 1.0)) - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt((x + 1.0)) - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{x + 1} - \sqrt{x}
\end{array}
Initial program 92.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.5
Simplified18.5%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6419.8
Simplified19.8%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6415.1
Simplified15.1%
Final simplification15.1%
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 x) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + (sqrt(x) - sqrt(x));
}
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(x) - sqrt(x))
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(x) - Math.sqrt(x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + (math.sqrt(x) - math.sqrt(x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(sqrt(x) - sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + (sqrt(x) - sqrt(x));
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[x], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(\sqrt{x} - \sqrt{x}\right)
\end{array}
Initial program 92.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.5
Simplified18.5%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.6
Applied egg-rr18.6%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6436.2
Simplified36.2%
Taylor expanded in x around inf
sqrt-lowering-sqrt.f6435.1
Simplified35.1%
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 z)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + 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(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(z);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + math.sqrt(z)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + sqrt(z)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + 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[Sqrt[z], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \sqrt{z}
\end{array}
Initial program 92.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.5
Simplified18.5%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.6
Applied egg-rr18.6%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6436.2
Simplified36.2%
Taylor expanded in z around inf
sqrt-lowering-sqrt.f6417.0
Simplified17.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (sqrt y))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 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 = sqrt(y)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(y);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(y)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return sqrt(y) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 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[Sqrt[y], $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{y}
\end{array}
Initial program 92.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.5
Simplified18.5%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.6
Applied egg-rr18.6%
Taylor expanded in y around inf
sqrt-lowering-sqrt.f646.9
Simplified6.9%
(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 2024199
(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))))