
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (- t_3 (sqrt z)))
(t_5 (sqrt (+ 1.0 x)))
(t_6 (+ t_4 (+ (- t_5 (sqrt x)) (- t_2 (sqrt y))))))
(if (<= t_6 0.99)
(+ (+ (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 (+ (sqrt x) t_5))) t_4) t_1)
(if (<= t_6 1.999998)
(+
t_1
(-
(+ t_5 (fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt y) t_2))))
(sqrt x)))
(+
t_1
(-
(+ (+ 1.0 t_5) (fma y 0.5 (/ 1.0 (+ (sqrt z) t_3))))
(+ (sqrt y) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((1.0 + z));
double t_4 = t_3 - sqrt(z);
double t_5 = sqrt((1.0 + x));
double t_6 = t_4 + ((t_5 - sqrt(x)) + (t_2 - sqrt(y)));
double tmp;
if (t_6 <= 0.99) {
tmp = (fma(0.5, sqrt((1.0 / y)), (1.0 / (sqrt(x) + t_5))) + t_4) + t_1;
} else if (t_6 <= 1.999998) {
tmp = t_1 + ((t_5 + fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(y) + t_2)))) - sqrt(x));
} else {
tmp = t_1 + (((1.0 + t_5) + fma(y, 0.5, (1.0 / (sqrt(z) + t_3)))) - (sqrt(y) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(t_3 - sqrt(z)) t_5 = sqrt(Float64(1.0 + x)) t_6 = Float64(t_4 + Float64(Float64(t_5 - sqrt(x)) + Float64(t_2 - sqrt(y)))) tmp = 0.0 if (t_6 <= 0.99) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / y)), Float64(1.0 / Float64(sqrt(x) + t_5))) + t_4) + t_1); elseif (t_6 <= 1.999998) tmp = Float64(t_1 + Float64(Float64(t_5 + fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(y) + t_2)))) - sqrt(x))); else tmp = Float64(t_1 + Float64(Float64(Float64(1.0 + t_5) + fma(y, 0.5, Float64(1.0 / Float64(sqrt(z) + t_3)))) - Float64(sqrt(y) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$4 + N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.99], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$6, 1.999998], N[(t$95$1 + N[(N[(t$95$5 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(N[(N[(1.0 + t$95$5), $MachinePrecision] + N[(y * 0.5 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $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 + t} - \sqrt{t}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{1 + z}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \sqrt{1 + x}\\
t_6 := t\_4 + \left(\left(t\_5 - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_6 \leq 0.99:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{1}{\sqrt{x} + t\_5}\right) + t\_4\right) + t\_1\\
\mathbf{elif}\;t\_6 \leq 1.999998:\\
\;\;\;\;t\_1 + \left(\left(t\_5 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{y} + t\_2}\right)\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\left(\left(1 + t\_5\right) + \mathsf{fma}\left(y, 0.5, \frac{1}{\sqrt{z} + t\_3}\right)\right) - \left(\sqrt{y} + \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))) < 0.98999999999999999Initial program 55.0%
flip--N/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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6455.4
Applied egg-rr55.4%
Taylor expanded in y 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-+.f6473.7
Simplified73.7%
if 0.98999999999999999 < (+.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))) < 1.99999799999999994Initial program 95.3%
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.f6495.7
Applied egg-rr95.7%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/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
sqrt-lowering-sqrt.f6444.0
Simplified44.0%
if 1.99999799999999994 < (+.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%
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.f6498.3
Applied egg-rr98.3%
Taylor expanded in y around 0
--lowering--.f64N/A
Simplified60.4%
Final simplification56.0%
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 (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y)))))
(t_5 (sqrt (/ 1.0 z))))
(if (<= t_4 1.00005)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) t_5) t_3) (sqrt x))
(if (<= t_4 2.0001)
(+ 1.0 (- (fma 0.5 t_5 t_1) (+ (sqrt y) (sqrt x))))
(if (<= t_4 2.99999997)
(- (- (+ (+ 1.0 t_1) (- t_2 (sqrt x))) (sqrt z)) (sqrt y))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(- (- 3.0 (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((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + x));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double t_5 = sqrt((1.0 / z));
double tmp;
if (t_4 <= 1.00005) {
tmp = fma(0.5, (sqrt((1.0 / y)) + t_5), t_3) - sqrt(x);
} else if (t_4 <= 2.0001) {
tmp = 1.0 + (fma(0.5, t_5, t_1) - (sqrt(y) + sqrt(x)));
} else if (t_4 <= 2.99999997) {
tmp = (((1.0 + t_1) + (t_2 - sqrt(x))) - sqrt(z)) - sqrt(y);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((3.0 - 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(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(1.0 + x)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) t_5 = sqrt(Float64(1.0 / z)) tmp = 0.0 if (t_4 <= 1.00005) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + t_5), t_3) - sqrt(x)); elseif (t_4 <= 2.0001) tmp = Float64(1.0 + Float64(fma(0.5, t_5, t_1) - Float64(sqrt(y) + sqrt(x)))); elseif (t_4 <= 2.99999997) tmp = Float64(Float64(Float64(Float64(1.0 + t_1) + Float64(t_2 - sqrt(x))) - sqrt(z)) - sqrt(y)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(3.0 - 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $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]}, Block[{t$95$5 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 1.00005], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(1.0 + N[(N[(0.5 * t$95$5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.99999997], N[(N[(N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[x], $MachinePrecision]), $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{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + x}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
t_5 := \sqrt{\frac{1}{z}}\\
\mathbf{if}\;t\_4 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + t\_5, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, t\_5, t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_4 \leq 2.99999997:\\
\;\;\;\;\left(\left(\left(1 + t\_1\right) + \left(t\_2 - \sqrt{x}\right)\right) - \sqrt{z}\right) - \sqrt{y}\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(3 - \sqrt{x}\right) - \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))) < 1.00005000000000011Initial program 82.3%
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
Simplified37.4%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6438.9
Simplified38.9%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6416.4
Simplified16.4%
if 1.00005000000000011 < (+.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 97.2%
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.f6416.9
Simplified16.9%
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.f646.4
Simplified6.4%
Taylor expanded in z around inf
associate--l+N/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
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6427.7
Simplified27.7%
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))) < 2.9999999700000002Initial program 97.4%
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.f6453.7
Simplified53.7%
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
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.f6444.3
Simplified44.3%
associate--r+N/A
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
Applied egg-rr44.3%
if 2.9999999700000002 < (+.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 99.5%
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.f6499.5
Simplified99.5%
Taylor expanded in x around 0
--lowering--.f64N/A
+-commutativeN/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.f6499.5
Simplified99.5%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6499.5
Simplified99.5%
Final simplification28.9%
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 (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_5 2e-5)
(+ t_3 (* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))))))
(if (<= t_5 1.99)
(+ t_3 (+ t_4 (- (/ 1.0 (+ (sqrt y) t_1)) (sqrt x))))
(+
t_3
(-
(+ (+ 1.0 t_4) (fma y 0.5 (/ 1.0 (+ (sqrt z) t_2))))
(+ (sqrt y) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_5 <= 2e-5) {
tmp = t_3 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
} else if (t_5 <= 1.99) {
tmp = t_3 + (t_4 + ((1.0 / (sqrt(y) + t_1)) - sqrt(x)));
} else {
tmp = t_3 + (((1.0 + t_4) + fma(y, 0.5, (1.0 / (sqrt(z) + t_2)))) - (sqrt(y) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) 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 <= 2e-5) tmp = Float64(t_3 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z)))))); elseif (t_5 <= 1.99) tmp = Float64(t_3 + Float64(t_4 + Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) - sqrt(x)))); else tmp = Float64(t_3 + Float64(Float64(Float64(1.0 + t_4) + fma(y, 0.5, Float64(1.0 / Float64(sqrt(z) + t_2)))) - Float64(sqrt(y) + 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $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, 2e-5], N[(t$95$3 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.99], N[(t$95$3 + N[(t$95$4 + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(N[(1.0 + t$95$4), $MachinePrecision] + N[(y * 0.5 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $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{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
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 2 \cdot 10^{-5}:\\
\;\;\;\;t\_3 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\right)\right)\\
\mathbf{elif}\;t\_5 \leq 1.99:\\
\;\;\;\;t\_3 + \left(t\_4 + \left(\frac{1}{\sqrt{y} + t\_1} - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(\left(1 + t\_4\right) + \mathsf{fma}\left(y, 0.5, \frac{1}{\sqrt{z} + t\_2}\right)\right) - \left(\sqrt{y} + \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))) < 2.00000000000000016e-5Initial program 49.4%
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
Simplified23.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6445.1
Simplified45.1%
Taylor expanded in x around inf
distribute-lft-outN/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-/.f6488.3
Simplified88.3%
if 2.00000000000000016e-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))) < 1.98999999999999999Initial program 95.3%
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.f6495.7
Applied egg-rr95.7%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6440.2
Simplified40.2%
if 1.98999999999999999 < (+.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 98.1%
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.f6498.2
Applied egg-rr98.2%
Taylor expanded in y around 0
--lowering--.f64N/A
Simplified61.5%
Final simplification57.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (- (sqrt (+ 1.0 x)) (sqrt x)))
(t_3 (+ t_2 (- (sqrt (+ y 1.0)) (sqrt y))))
(t_4 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_5 (+ t_4 t_3))
(t_6 (sqrt (/ 1.0 z))))
(if (<= t_5 2e-5)
(+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) t_6))))
(if (<= t_5 2.0001)
(+ t_1 (+ t_3 (* 0.5 t_6)))
(+ t_1 (+ t_4 (+ t_2 (fma y 0.5 (- 1.0 (sqrt y))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((1.0 + x)) - sqrt(x);
double t_3 = t_2 + (sqrt((y + 1.0)) - sqrt(y));
double t_4 = sqrt((1.0 + z)) - sqrt(z);
double t_5 = t_4 + t_3;
double t_6 = sqrt((1.0 / z));
double tmp;
if (t_5 <= 2e-5) {
tmp = t_1 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + t_6)));
} else if (t_5 <= 2.0001) {
tmp = t_1 + (t_3 + (0.5 * t_6));
} else {
tmp = t_1 + (t_4 + (t_2 + fma(y, 0.5, (1.0 - sqrt(y)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) t_3 = Float64(t_2 + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) t_4 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_5 = Float64(t_4 + t_3) t_6 = sqrt(Float64(1.0 / z)) tmp = 0.0 if (t_5 <= 2e-5) tmp = Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + t_6)))); elseif (t_5 <= 2.0001) tmp = Float64(t_1 + Float64(t_3 + Float64(0.5 * t_6))); else tmp = Float64(t_1 + Float64(t_4 + Float64(t_2 + fma(y, 0.5, Float64(1.0 - sqrt(y)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 + t$95$3), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$5, 2e-5], N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(t$95$1 + N[(t$95$3 + N[(0.5 * t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(t$95$4 + N[(t$95$2 + N[(y * 0.5 + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{1 + x} - \sqrt{x}\\
t_3 := t\_2 + \left(\sqrt{y + 1} - \sqrt{y}\right)\\
t_4 := \sqrt{1 + z} - \sqrt{z}\\
t_5 := t\_4 + t\_3\\
t_6 := \sqrt{\frac{1}{z}}\\
\mathbf{if}\;t\_5 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + t\_6\right)\right)\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;t\_1 + \left(t\_3 + 0.5 \cdot t\_6\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(t\_4 + \left(t\_2 + \mathsf{fma}\left(y, 0.5, 1 - \sqrt{y}\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))) < 2.00000000000000016e-5Initial program 49.4%
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
Simplified23.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6445.1
Simplified45.1%
Taylor expanded in x around inf
distribute-lft-outN/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-/.f6488.3
Simplified88.3%
if 2.00000000000000016e-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))) < 2.00010000000000021Initial program 96.5%
Taylor expanded in z around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6456.6
Simplified56.6%
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 98.8%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6498.8
Simplified98.8%
Final simplification66.6%
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 (+ y 1.0)))
(t_2 (- t_1 (sqrt y)))
(t_3 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_5 (sqrt (+ 1.0 x)))
(t_6 (+ t_3 (+ (- t_5 (sqrt x)) t_2))))
(if (<= t_6 2e-5)
(+ t_4 (* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))))))
(if (<= t_6 2.0)
(+ t_4 (+ t_5 (- (/ 1.0 (+ (sqrt y) t_1)) (sqrt x))))
(+ t_4 (+ t_3 (+ t_2 (- 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((y + 1.0));
double t_2 = t_1 - sqrt(y);
double t_3 = sqrt((1.0 + z)) - sqrt(z);
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double t_5 = sqrt((1.0 + x));
double t_6 = t_3 + ((t_5 - sqrt(x)) + t_2);
double tmp;
if (t_6 <= 2e-5) {
tmp = t_4 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
} else if (t_6 <= 2.0) {
tmp = t_4 + (t_5 + ((1.0 / (sqrt(y) + t_1)) - sqrt(x)));
} else {
tmp = t_4 + (t_3 + (t_2 + (1.0 - sqrt(x))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = t_1 - sqrt(y)
t_3 = sqrt((1.0d0 + z)) - sqrt(z)
t_4 = sqrt((1.0d0 + t)) - sqrt(t)
t_5 = sqrt((1.0d0 + x))
t_6 = t_3 + ((t_5 - sqrt(x)) + t_2)
if (t_6 <= 2d-5) then
tmp = t_4 + (0.5d0 * (sqrt((1.0d0 / x)) + (sqrt((1.0d0 / y)) + sqrt((1.0d0 / z)))))
else if (t_6 <= 2.0d0) then
tmp = t_4 + (t_5 + ((1.0d0 / (sqrt(y) + t_1)) - sqrt(x)))
else
tmp = t_4 + (t_3 + (t_2 + (1.0d0 - sqrt(x))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = t_1 - Math.sqrt(y);
double t_3 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_4 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_5 = Math.sqrt((1.0 + x));
double t_6 = t_3 + ((t_5 - Math.sqrt(x)) + t_2);
double tmp;
if (t_6 <= 2e-5) {
tmp = t_4 + (0.5 * (Math.sqrt((1.0 / x)) + (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / z)))));
} else if (t_6 <= 2.0) {
tmp = t_4 + (t_5 + ((1.0 / (Math.sqrt(y) + t_1)) - Math.sqrt(x)));
} else {
tmp = t_4 + (t_3 + (t_2 + (1.0 - Math.sqrt(x))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = t_1 - math.sqrt(y) t_3 = math.sqrt((1.0 + z)) - math.sqrt(z) t_4 = math.sqrt((1.0 + t)) - math.sqrt(t) t_5 = math.sqrt((1.0 + x)) t_6 = t_3 + ((t_5 - math.sqrt(x)) + t_2) tmp = 0 if t_6 <= 2e-5: tmp = t_4 + (0.5 * (math.sqrt((1.0 / x)) + (math.sqrt((1.0 / y)) + math.sqrt((1.0 / z))))) elif t_6 <= 2.0: tmp = t_4 + (t_5 + ((1.0 / (math.sqrt(y) + t_1)) - math.sqrt(x))) else: tmp = t_4 + (t_3 + (t_2 + (1.0 - math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(t_1 - sqrt(y)) t_3 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + x)) t_6 = Float64(t_3 + Float64(Float64(t_5 - sqrt(x)) + t_2)) tmp = 0.0 if (t_6 <= 2e-5) tmp = Float64(t_4 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z)))))); elseif (t_6 <= 2.0) tmp = Float64(t_4 + Float64(t_5 + Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) - sqrt(x)))); else tmp = Float64(t_4 + Float64(t_3 + Float64(t_2 + Float64(1.0 - sqrt(x))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = t_1 - sqrt(y);
t_3 = sqrt((1.0 + z)) - sqrt(z);
t_4 = sqrt((1.0 + t)) - sqrt(t);
t_5 = sqrt((1.0 + x));
t_6 = t_3 + ((t_5 - sqrt(x)) + t_2);
tmp = 0.0;
if (t_6 <= 2e-5)
tmp = t_4 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
elseif (t_6 <= 2.0)
tmp = t_4 + (t_5 + ((1.0 / (sqrt(y) + t_1)) - sqrt(x)));
else
tmp = t_4 + (t_3 + (t_2 + (1.0 - sqrt(x))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 + N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 2e-5], N[(t$95$4 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0], N[(t$95$4 + N[(t$95$5 + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$4 + N[(t$95$3 + N[(t$95$2 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := t\_1 - \sqrt{y}\\
t_3 := \sqrt{1 + z} - \sqrt{z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
t_5 := \sqrt{1 + x}\\
t_6 := t\_3 + \left(\left(t\_5 - \sqrt{x}\right) + t\_2\right)\\
\mathbf{if}\;t\_6 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;t\_4 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\right)\right)\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;t\_4 + \left(t\_5 + \left(\frac{1}{\sqrt{y} + t\_1} - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(t\_3 + \left(t\_2 + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00000000000000016e-5Initial program 49.4%
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
Simplified23.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6445.1
Simplified45.1%
Taylor expanded in x around inf
distribute-lft-outN/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-/.f6488.3
Simplified88.3%
if 2.00000000000000016e-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))) < 2Initial program 96.7%
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.f6496.9
Applied egg-rr96.9%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6445.2
Simplified45.2%
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 97.4%
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.f6490.5
Simplified90.5%
Final simplification57.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_5 (sqrt (+ 1.0 x)))
(t_6 (+ t_3 (+ (- t_5 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_6 0.9999999999998505)
(+ t_4 (+ (/ 1.0 (+ (sqrt x) t_5)) t_3))
(if (<= t_6 2.99999997)
(+ t_5 (- (+ t_1 (/ 1.0 (+ (sqrt z) t_2))) (+ (sqrt y) (sqrt x))))
(+ t_4 (- (- 3.0 (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((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double t_5 = sqrt((1.0 + x));
double t_6 = t_3 + ((t_5 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_6 <= 0.9999999999998505) {
tmp = t_4 + ((1.0 / (sqrt(x) + t_5)) + t_3);
} else if (t_6 <= 2.99999997) {
tmp = t_5 + ((t_1 + (1.0 / (sqrt(z) + t_2))) - (sqrt(y) + sqrt(x)));
} else {
tmp = t_4 + ((3.0 - sqrt(x)) - (sqrt(y) + sqrt(z)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((1.0d0 + z))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((1.0d0 + t)) - sqrt(t)
t_5 = sqrt((1.0d0 + x))
t_6 = t_3 + ((t_5 - sqrt(x)) + (t_1 - sqrt(y)))
if (t_6 <= 0.9999999999998505d0) then
tmp = t_4 + ((1.0d0 / (sqrt(x) + t_5)) + t_3)
else if (t_6 <= 2.99999997d0) then
tmp = t_5 + ((t_1 + (1.0d0 / (sqrt(z) + t_2))) - (sqrt(y) + sqrt(x)))
else
tmp = t_4 + ((3.0d0 - sqrt(x)) - (sqrt(y) + sqrt(z)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_5 = Math.sqrt((1.0 + x));
double t_6 = t_3 + ((t_5 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)));
double tmp;
if (t_6 <= 0.9999999999998505) {
tmp = t_4 + ((1.0 / (Math.sqrt(x) + t_5)) + t_3);
} else if (t_6 <= 2.99999997) {
tmp = t_5 + ((t_1 + (1.0 / (Math.sqrt(z) + t_2))) - (Math.sqrt(y) + Math.sqrt(x)));
} else {
tmp = t_4 + ((3.0 - Math.sqrt(x)) - (Math.sqrt(y) + Math.sqrt(z)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((1.0 + z)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((1.0 + t)) - math.sqrt(t) t_5 = math.sqrt((1.0 + x)) t_6 = t_3 + ((t_5 - math.sqrt(x)) + (t_1 - math.sqrt(y))) tmp = 0 if t_6 <= 0.9999999999998505: tmp = t_4 + ((1.0 / (math.sqrt(x) + t_5)) + t_3) elif t_6 <= 2.99999997: tmp = t_5 + ((t_1 + (1.0 / (math.sqrt(z) + t_2))) - (math.sqrt(y) + math.sqrt(x))) else: tmp = t_4 + ((3.0 - math.sqrt(x)) - (math.sqrt(y) + math.sqrt(z))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + x)) t_6 = Float64(t_3 + Float64(Float64(t_5 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_6 <= 0.9999999999998505) tmp = Float64(t_4 + Float64(Float64(1.0 / Float64(sqrt(x) + t_5)) + t_3)); elseif (t_6 <= 2.99999997) tmp = Float64(t_5 + Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_2))) - Float64(sqrt(y) + sqrt(x)))); else tmp = Float64(t_4 + Float64(Float64(3.0 - sqrt(x)) - Float64(sqrt(y) + sqrt(z)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((1.0 + z));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((1.0 + t)) - sqrt(t);
t_5 = sqrt((1.0 + x));
t_6 = t_3 + ((t_5 - sqrt(x)) + (t_1 - sqrt(y)));
tmp = 0.0;
if (t_6 <= 0.9999999999998505)
tmp = t_4 + ((1.0 / (sqrt(x) + t_5)) + t_3);
elseif (t_6 <= 2.99999997)
tmp = t_5 + ((t_1 + (1.0 / (sqrt(z) + t_2))) - (sqrt(y) + sqrt(x)));
else
tmp = t_4 + ((3.0 - sqrt(x)) - (sqrt(y) + sqrt(z)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 + N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.9999999999998505], N[(t$95$4 + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.99999997], N[(t$95$5 + N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$4 + N[(N[(3.0 - N[Sqrt[x], $MachinePrecision]), $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{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
t_5 := \sqrt{1 + x}\\
t_6 := t\_3 + \left(\left(t\_5 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_6 \leq 0.9999999999998505:\\
\;\;\;\;t\_4 + \left(\frac{1}{\sqrt{x} + t\_5} + t\_3\right)\\
\mathbf{elif}\;t\_6 \leq 2.99999997:\\
\;\;\;\;t\_5 + \left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_2}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(\left(3 - \sqrt{x}\right) - \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))) < 0.999999999999850453Initial program 58.0%
flip--N/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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6458.3
Applied egg-rr58.3%
Taylor expanded in y around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6461.0
Simplified61.0%
if 0.999999999999850453 < (+.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))) < 2.9999999700000002Initial program 96.5%
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.f6496.9
Applied egg-rr96.9%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.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
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6429.7
Simplified29.7%
if 2.9999999700000002 < (+.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 99.5%
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.f6499.5
Simplified99.5%
Taylor expanded in x around 0
--lowering--.f64N/A
+-commutativeN/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.f6499.5
Simplified99.5%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6499.5
Simplified99.5%
Final simplification41.2%
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 (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 1.00005)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_3) (sqrt x))
(if (<= t_4 2.99999997)
(+ t_3 (- (+ t_1 (/ 1.0 (+ (sqrt z) t_2))) (+ (sqrt y) (sqrt x))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(- (- 3.0 (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((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + x));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.00005) {
tmp = fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_3) - sqrt(x);
} else if (t_4 <= 2.99999997) {
tmp = t_3 + ((t_1 + (1.0 / (sqrt(z) + t_2))) - (sqrt(y) + sqrt(x)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((3.0 - 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(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(1.0 + x)) 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 <= 1.00005) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_3) - sqrt(x)); elseif (t_4 <= 2.99999997) tmp = Float64(t_3 + Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_2))) - Float64(sqrt(y) + sqrt(x)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(3.0 - 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $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, 1.00005], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.99999997], N[(t$95$3 + N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[x], $MachinePrecision]), $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{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + x}\\
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 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.99999997:\\
\;\;\;\;t\_3 + \left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_2}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(3 - \sqrt{x}\right) - \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))) < 1.00005000000000011Initial program 82.3%
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
Simplified37.4%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6438.9
Simplified38.9%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6416.4
Simplified16.4%
if 1.00005000000000011 < (+.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))) < 2.9999999700000002Initial 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.f6497.4
Applied egg-rr97.4%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.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
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6435.8
Simplified35.8%
if 2.9999999700000002 < (+.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 99.5%
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.f6499.5
Simplified99.5%
Taylor expanded in x around 0
--lowering--.f64N/A
+-commutativeN/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.f6499.5
Simplified99.5%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6499.5
Simplified99.5%
Final simplification31.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= (+ t_3 (+ (- t_4 (sqrt x)) (- t_2 (sqrt y)))) 1.0)
(+ (+ (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 (+ (sqrt x) t_4))) t_3) t_1)
(+
t_1
(+ t_3 (+ (/ (- (+ y 1.0) y) (+ (sqrt y) t_2)) (- 1.0 (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((1.0 + z)) - sqrt(z);
double t_4 = sqrt((1.0 + x));
double tmp;
if ((t_3 + ((t_4 - sqrt(x)) + (t_2 - sqrt(y)))) <= 1.0) {
tmp = (fma(0.5, sqrt((1.0 / y)), (1.0 / (sqrt(x) + t_4))) + t_3) + t_1;
} else {
tmp = t_1 + (t_3 + ((((y + 1.0) - y) / (sqrt(y) + t_2)) + (1.0 - sqrt(x))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(y + 1.0)) t_3 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_3 + Float64(Float64(t_4 - sqrt(x)) + Float64(t_2 - sqrt(y)))) <= 1.0) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / y)), Float64(1.0 / Float64(sqrt(x) + t_4))) + t_3) + t_1); else tmp = Float64(t_1 + Float64(t_3 + Float64(Float64(Float64(Float64(y + 1.0) - y) / Float64(sqrt(y) + t_2)) + Float64(1.0 - sqrt(x))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision], N[(t$95$1 + N[(t$95$3 + N[(N[(N[(N[(y + 1.0), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{1 + z} - \sqrt{z}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_3 + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\right) \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{1}{\sqrt{x} + t\_4}\right) + t\_3\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(t\_3 + \left(\frac{\left(y + 1\right) - y}{\sqrt{y} + t\_2} + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 82.6%
flip--N/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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6482.7
Applied egg-rr82.7%
Taylor expanded in y 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-+.f6468.2
Simplified68.2%
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))) Initial program 96.8%
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.f6497.2
Applied egg-rr97.2%
Taylor expanded in x around 0
--lowering--.f64N/A
sqrt-lowering-sqrt.f6474.2
Simplified74.2%
Final simplification71.3%
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 t)) (sqrt t)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ y 1.0))))
(if (<= (+ (- t_2 (sqrt x)) (- t_3 (sqrt y))) 2e-5)
(+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))))))
(+
t_1
(+
t_2
(- (- (- (sqrt (+ 1.0 z)) (sqrt z)) (- (sqrt y) 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 + t)) - sqrt(t);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((y + 1.0));
double tmp;
if (((t_2 - sqrt(x)) + (t_3 - sqrt(y))) <= 2e-5) {
tmp = t_1 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
} else {
tmp = t_1 + (t_2 + (((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) - t_3)) - sqrt(x)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + t)) - sqrt(t)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((y + 1.0d0))
if (((t_2 - sqrt(x)) + (t_3 - sqrt(y))) <= 2d-5) then
tmp = t_1 + (0.5d0 * (sqrt((1.0d0 / x)) + (sqrt((1.0d0 / y)) + sqrt((1.0d0 / z)))))
else
tmp = t_1 + (t_2 + (((sqrt((1.0d0 + z)) - sqrt(z)) - (sqrt(y) - t_3)) - sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((y + 1.0));
double tmp;
if (((t_2 - Math.sqrt(x)) + (t_3 - Math.sqrt(y))) <= 2e-5) {
tmp = t_1 + (0.5 * (Math.sqrt((1.0 / x)) + (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / z)))));
} else {
tmp = t_1 + (t_2 + (((Math.sqrt((1.0 + z)) - Math.sqrt(z)) - (Math.sqrt(y) - t_3)) - Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + t)) - math.sqrt(t) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((y + 1.0)) tmp = 0 if ((t_2 - math.sqrt(x)) + (t_3 - math.sqrt(y))) <= 2e-5: tmp = t_1 + (0.5 * (math.sqrt((1.0 / x)) + (math.sqrt((1.0 / y)) + math.sqrt((1.0 / z))))) else: tmp = t_1 + (t_2 + (((math.sqrt((1.0 + z)) - math.sqrt(z)) - (math.sqrt(y) - t_3)) - math.sqrt(x))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(x)) + Float64(t_3 - sqrt(y))) <= 2e-5) tmp = Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z)))))); else tmp = Float64(t_1 + Float64(t_2 + Float64(Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) - Float64(sqrt(y) - t_3)) - sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + t)) - sqrt(t);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((y + 1.0));
tmp = 0.0;
if (((t_2 - sqrt(x)) + (t_3 - sqrt(y))) <= 2e-5)
tmp = t_1 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
else
tmp = t_1 + (t_2 + (((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) - t_3)) - sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2e-5], N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(t$95$2 + N[(N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$3), $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 + t} - \sqrt{t}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{y + 1}\\
\mathbf{if}\;\left(t\_2 - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right) \leq 2 \cdot 10^{-5}:\\
\;\;\;\;t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(t\_2 + \left(\left(\left(\sqrt{1 + z} - \sqrt{z}\right) - \left(\sqrt{y} - t\_3\right)\right) - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 2.00000000000000016e-5Initial program 70.4%
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
Simplified16.4%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6429.0
Simplified29.0%
Taylor expanded in x around inf
distribute-lft-outN/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-/.f6452.7
Simplified52.7%
if 2.00000000000000016e-5 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.9%
associate-+l+N/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
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6473.7
Applied egg-rr73.7%
Final simplification68.2%
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 (+ y 1.0)) (sqrt y)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_1 5e-7)
(+
(+ (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 (+ (sqrt x) t_2))) (- t_3 (sqrt z)))
t_4)
(+
t_4
(+ (+ (- t_2 (sqrt x)) t_1) (/ (- (+ 1.0 z) z) (+ (sqrt z) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0)) - sqrt(y);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_1 <= 5e-7) {
tmp = (fma(0.5, sqrt((1.0 / y)), (1.0 / (sqrt(x) + t_2))) + (t_3 - sqrt(z))) + t_4;
} else {
tmp = t_4 + (((t_2 - sqrt(x)) + t_1) + (((1.0 + z) - z) / (sqrt(z) + t_3)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_1 <= 5e-7) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / y)), Float64(1.0 / Float64(sqrt(x) + t_2))) + Float64(t_3 - sqrt(z))) + t_4); else tmp = Float64(t_4 + Float64(Float64(Float64(t_2 - sqrt(x)) + t_1) + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_3)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 5e-7], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(t$95$4 + N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1} - \sqrt{y}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_1 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{1}{\sqrt{x} + t\_2}\right) + \left(t\_3 - \sqrt{z}\right)\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(\left(\left(t\_2 - \sqrt{x}\right) + t\_1\right) + \frac{\left(1 + z\right) - z}{\sqrt{z} + t\_3}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 4.99999999999999977e-7Initial program 83.0%
flip--N/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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6483.3
Applied egg-rr83.3%
Taylor expanded in y 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-+.f6490.4
Simplified90.4%
if 4.99999999999999977e-7 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.7%
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.f6497.2
Applied egg-rr97.2%
Final simplification93.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 x)) (sqrt x)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_1 2e-5)
(+ t_2 (* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))))))
(+
t_2
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ t_1 (- (sqrt (+ y 1.0)) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x)) - sqrt(x);
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_1 <= 2e-5) {
tmp = t_2 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
} else {
tmp = t_2 + ((sqrt((1.0 + z)) - sqrt(z)) + (t_1 + (sqrt((y + 1.0)) - sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + x)) - sqrt(x)
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
if (t_1 <= 2d-5) then
tmp = t_2 + (0.5d0 * (sqrt((1.0d0 / x)) + (sqrt((1.0d0 / y)) + sqrt((1.0d0 / z)))))
else
tmp = t_2 + ((sqrt((1.0d0 + z)) - sqrt(z)) + (t_1 + (sqrt((y + 1.0d0)) - sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x)) - Math.sqrt(x);
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (t_1 <= 2e-5) {
tmp = t_2 + (0.5 * (Math.sqrt((1.0 / x)) + (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / z)))));
} else {
tmp = t_2 + ((Math.sqrt((1.0 + z)) - Math.sqrt(z)) + (t_1 + (Math.sqrt((y + 1.0)) - Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) - math.sqrt(x) t_2 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if t_1 <= 2e-5: tmp = t_2 + (0.5 * (math.sqrt((1.0 / x)) + (math.sqrt((1.0 / y)) + math.sqrt((1.0 / z))))) else: tmp = t_2 + ((math.sqrt((1.0 + z)) - math.sqrt(z)) + (t_1 + (math.sqrt((y + 1.0)) - math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_1 <= 2e-5) tmp = Float64(t_2 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z)))))); else tmp = Float64(t_2 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(t_1 + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x)) - sqrt(x);
t_2 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (t_1 <= 2e-5)
tmp = t_2 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
else
tmp = t_2 + ((sqrt((1.0 + z)) - sqrt(z)) + (t_1 + (sqrt((y + 1.0)) - sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 2e-5], N[(t$95$2 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $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 + x} - \sqrt{x}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_1 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;t\_2 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(t\_1 + \left(\sqrt{y + 1} - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 2.00000000000000016e-5Initial program 82.4%
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
Simplified36.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6419.6
Simplified19.6%
Taylor expanded in x around inf
distribute-lft-outN/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-/.f6432.0
Simplified32.0%
if 2.00000000000000016e-5 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 96.8%
Final simplification66.2%
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 (+ y 1.0))) (t_2 (sqrt (+ 1.0 z))) (t_3 (- t_2 (sqrt z))))
(if (<= t_3 5e-5)
(+ 1.0 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (+ (sqrt y) (sqrt x))))
(if (<= t_3 0.99999997)
(- (- (+ (+ 1.0 t_1) (- t_2 (sqrt x))) (sqrt z)) (sqrt y))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(- (- 3.0 (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((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double tmp;
if (t_3 <= 5e-5) {
tmp = 1.0 + (fma(0.5, sqrt((1.0 / z)), t_1) - (sqrt(y) + sqrt(x)));
} else if (t_3 <= 0.99999997) {
tmp = (((1.0 + t_1) + (t_2 - sqrt(x))) - sqrt(z)) - sqrt(y);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((3.0 - 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(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) tmp = 0.0 if (t_3 <= 5e-5) tmp = Float64(1.0 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - Float64(sqrt(y) + sqrt(x)))); elseif (t_3 <= 0.99999997) tmp = Float64(Float64(Float64(Float64(1.0 + t_1) + Float64(t_2 - sqrt(x))) - sqrt(z)) - sqrt(y)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(3.0 - 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 5e-5], N[(1.0 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 0.99999997], N[(N[(N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[x], $MachinePrecision]), $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{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_3 \leq 0.99999997:\\
\;\;\;\;\left(\left(\left(1 + t\_1\right) + \left(t\_2 - \sqrt{x}\right)\right) - \sqrt{z}\right) - \sqrt{y}\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(3 - \sqrt{x}\right) - \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 5.00000000000000024e-5Initial program 83.4%
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.f645.6
Simplified5.6%
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.f644.1
Simplified4.1%
Taylor expanded in z around inf
associate--l+N/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
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6432.2
Simplified32.2%
if 5.00000000000000024e-5 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.99999996999999996Initial program 96.0%
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.f6427.6
Simplified27.6%
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.f6424.1
Simplified24.1%
associate--r+N/A
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
Applied egg-rr24.1%
if 0.99999996999999996 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.8%
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.f6433.8
Simplified33.8%
Taylor expanded in x around 0
--lowering--.f64N/A
+-commutativeN/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.f6428.7
Simplified28.7%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.6
Simplified23.6%
Final simplification28.2%
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 y) (sqrt z)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z))))
(if (<= t_3 5e-5)
(+
1.0
(- (fma 0.5 (sqrt (/ 1.0 z)) (sqrt (+ y 1.0))) (+ (sqrt y) (sqrt x))))
(if (<= t_3 0.99999997)
(- (+ t_2 (fma y 0.5 2.0)) (+ (sqrt x) t_1))
(+ (- (sqrt (+ 1.0 t)) (sqrt t)) (- (- 3.0 (sqrt x)) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt(z);
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double tmp;
if (t_3 <= 5e-5) {
tmp = 1.0 + (fma(0.5, sqrt((1.0 / z)), sqrt((y + 1.0))) - (sqrt(y) + sqrt(x)));
} else if (t_3 <= 0.99999997) {
tmp = (t_2 + fma(y, 0.5, 2.0)) - (sqrt(x) + t_1);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((3.0 - sqrt(x)) - t_1);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(z)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) tmp = 0.0 if (t_3 <= 5e-5) tmp = Float64(1.0 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), sqrt(Float64(y + 1.0))) - Float64(sqrt(y) + sqrt(x)))); elseif (t_3 <= 0.99999997) tmp = Float64(Float64(t_2 + fma(y, 0.5, 2.0)) - Float64(sqrt(x) + t_1)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(3.0 - sqrt(x)) - t_1)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 5e-5], N[(1.0 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 0.99999997], N[(N[(t$95$2 + N[(y * 0.5 + 2.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y} + \sqrt{z}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \sqrt{y + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_3 \leq 0.99999997:\\
\;\;\;\;\left(t\_2 + \mathsf{fma}\left(y, 0.5, 2\right)\right) - \left(\sqrt{x} + t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(3 - \sqrt{x}\right) - t\_1\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 5.00000000000000024e-5Initial program 83.4%
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.f645.6
Simplified5.6%
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.f644.1
Simplified4.1%
Taylor expanded in z around inf
associate--l+N/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
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6432.2
Simplified32.2%
if 5.00000000000000024e-5 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.99999996999999996Initial program 96.0%
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.f6427.6
Simplified27.6%
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.f6424.1
Simplified24.1%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f6424.9
Simplified24.9%
if 0.99999996999999996 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.8%
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.f6433.8
Simplified33.8%
Taylor expanded in x around 0
--lowering--.f64N/A
+-commutativeN/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.f6428.7
Simplified28.7%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.6
Simplified23.6%
Final simplification28.3%
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 y) (sqrt z)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z))))
(if (<= t_3 0.0)
(+ (sqrt (+ 1.0 x)) (- (sqrt (+ y 1.0)) (+ (sqrt y) (sqrt x))))
(if (<= t_3 0.99999997)
(- (+ t_2 (fma y 0.5 2.0)) (+ (sqrt x) t_1))
(+ (- (sqrt (+ 1.0 t)) (sqrt t)) (- (- 3.0 (sqrt x)) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt(z);
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double tmp;
if (t_3 <= 0.0) {
tmp = sqrt((1.0 + x)) + (sqrt((y + 1.0)) - (sqrt(y) + sqrt(x)));
} else if (t_3 <= 0.99999997) {
tmp = (t_2 + fma(y, 0.5, 2.0)) - (sqrt(x) + t_1);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((3.0 - sqrt(x)) - t_1);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(z)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) tmp = 0.0 if (t_3 <= 0.0) tmp = Float64(sqrt(Float64(1.0 + x)) + Float64(sqrt(Float64(y + 1.0)) - Float64(sqrt(y) + sqrt(x)))); elseif (t_3 <= 0.99999997) tmp = Float64(Float64(t_2 + fma(y, 0.5, 2.0)) - Float64(sqrt(x) + t_1)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(3.0 - sqrt(x)) - t_1)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0], N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 0.99999997], N[(N[(t$95$2 + N[(y * 0.5 + 2.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y} + \sqrt{z}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
\mathbf{if}\;t\_3 \leq 0:\\
\;\;\;\;\sqrt{1 + x} + \left(\sqrt{y + 1} - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_3 \leq 0.99999997:\\
\;\;\;\;\left(t\_2 + \mathsf{fma}\left(y, 0.5, 2\right)\right) - \left(\sqrt{x} + t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(3 - \sqrt{x}\right) - t\_1\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 84.1%
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.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.f6431.2
Simplified31.2%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.99999996999999996Initial program 88.9%
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.f6426.3
Simplified26.3%
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.f6422.2
Simplified22.2%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f6423.2
Simplified23.2%
if 0.99999996999999996 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.8%
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.f6433.8
Simplified33.8%
Taylor expanded in x around 0
--lowering--.f64N/A
+-commutativeN/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.f6428.7
Simplified28.7%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.6
Simplified23.6%
Final simplification27.5%
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 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- t_2 (sqrt x)) 0.99)
(+ t_3 (+ (/ 1.0 (+ (sqrt x) t_2)) t_1))
(+ t_3 (+ t_1 (+ (- (sqrt (+ y 1.0)) (sqrt y)) (- 1.0 (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((t_2 - sqrt(x)) <= 0.99) {
tmp = t_3 + ((1.0 / (sqrt(x) + t_2)) + t_1);
} else {
tmp = t_3 + (t_1 + ((sqrt((y + 1.0)) - sqrt(y)) + (1.0 - sqrt(x))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
if ((t_2 - sqrt(x)) <= 0.99d0) then
tmp = t_3 + ((1.0d0 / (sqrt(x) + t_2)) + t_1)
else
tmp = t_3 + (t_1 + ((sqrt((y + 1.0d0)) - sqrt(y)) + (1.0d0 - sqrt(x))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if ((t_2 - Math.sqrt(x)) <= 0.99) {
tmp = t_3 + ((1.0 / (Math.sqrt(x) + t_2)) + t_1);
} else {
tmp = t_3 + (t_1 + ((Math.sqrt((y + 1.0)) - Math.sqrt(y)) + (1.0 - Math.sqrt(x))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if (t_2 - math.sqrt(x)) <= 0.99: tmp = t_3 + ((1.0 / (math.sqrt(x) + t_2)) + t_1) else: tmp = t_3 + (t_1 + ((math.sqrt((y + 1.0)) - math.sqrt(y)) + (1.0 - math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.99) tmp = Float64(t_3 + Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1)); else tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if ((t_2 - sqrt(x)) <= 0.99)
tmp = t_3 + ((1.0 / (sqrt(x) + t_2)) + t_1);
else
tmp = t_3 + (t_1 + ((sqrt((y + 1.0)) - sqrt(y)) + (1.0 - sqrt(x))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.99], N[(t$95$3 + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.99:\\
\;\;\;\;t\_3 + \left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(\sqrt{y + 1} - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.98999999999999999Initial program 82.9%
flip--N/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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6483.6
Applied egg-rr83.6%
Taylor expanded in y around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6447.5
Simplified47.5%
if 0.98999999999999999 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.0%
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.f6496.1
Simplified96.1%
Final simplification71.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 x))))
(if (<= z 7e-16)
(+ t_2 (- (- 3.0 (sqrt x)) (+ (sqrt y) (sqrt z))))
(if (<= z 4.6e+27)
(+
t_3
(-
(+ t_1 (/ 1.0 (+ (sqrt z) (sqrt (+ 1.0 z)))))
(+ (sqrt y) (sqrt x))))
(+ t_2 (+ t_3 (- (/ 1.0 (+ (sqrt y) t_1)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + x));
double tmp;
if (z <= 7e-16) {
tmp = t_2 + ((3.0 - sqrt(x)) - (sqrt(y) + sqrt(z)));
} else if (z <= 4.6e+27) {
tmp = t_3 + ((t_1 + (1.0 / (sqrt(z) + sqrt((1.0 + z))))) - (sqrt(y) + sqrt(x)));
} else {
tmp = t_2 + (t_3 + ((1.0 / (sqrt(y) + t_1)) - sqrt(x)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
t_3 = sqrt((1.0d0 + x))
if (z <= 7d-16) then
tmp = t_2 + ((3.0d0 - sqrt(x)) - (sqrt(y) + sqrt(z)))
else if (z <= 4.6d+27) then
tmp = t_3 + ((t_1 + (1.0d0 / (sqrt(z) + sqrt((1.0d0 + z))))) - (sqrt(y) + sqrt(x)))
else
tmp = t_2 + (t_3 + ((1.0d0 / (sqrt(y) + t_1)) - sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_3 = Math.sqrt((1.0 + x));
double tmp;
if (z <= 7e-16) {
tmp = t_2 + ((3.0 - Math.sqrt(x)) - (Math.sqrt(y) + Math.sqrt(z)));
} else if (z <= 4.6e+27) {
tmp = t_3 + ((t_1 + (1.0 / (Math.sqrt(z) + Math.sqrt((1.0 + z))))) - (Math.sqrt(y) + Math.sqrt(x)));
} else {
tmp = t_2 + (t_3 + ((1.0 / (Math.sqrt(y) + t_1)) - Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((1.0 + t)) - math.sqrt(t) t_3 = math.sqrt((1.0 + x)) tmp = 0 if z <= 7e-16: tmp = t_2 + ((3.0 - math.sqrt(x)) - (math.sqrt(y) + math.sqrt(z))) elif z <= 4.6e+27: tmp = t_3 + ((t_1 + (1.0 / (math.sqrt(z) + math.sqrt((1.0 + z))))) - (math.sqrt(y) + math.sqrt(x))) else: tmp = t_2 + (t_3 + ((1.0 / (math.sqrt(y) + t_1)) - math.sqrt(x))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (z <= 7e-16) tmp = Float64(t_2 + Float64(Float64(3.0 - sqrt(x)) - Float64(sqrt(y) + sqrt(z)))); elseif (z <= 4.6e+27) tmp = Float64(t_3 + Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + sqrt(Float64(1.0 + z))))) - Float64(sqrt(y) + sqrt(x)))); else tmp = Float64(t_2 + Float64(t_3 + Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) - sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((1.0 + t)) - sqrt(t);
t_3 = sqrt((1.0 + x));
tmp = 0.0;
if (z <= 7e-16)
tmp = t_2 + ((3.0 - sqrt(x)) - (sqrt(y) + sqrt(z)));
elseif (z <= 4.6e+27)
tmp = t_3 + ((t_1 + (1.0 / (sqrt(z) + sqrt((1.0 + z))))) - (sqrt(y) + sqrt(x)));
else
tmp = t_2 + (t_3 + ((1.0 / (sqrt(y) + t_1)) - sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $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 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 7e-16], N[(t$95$2 + N[(N[(3.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, 4.6e+27], N[(t$95$3 + N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(t$95$3 + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $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{y + 1}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + x}\\
\mathbf{if}\;z \leq 7 \cdot 10^{-16}:\\
\;\;\;\;t\_2 + \left(\left(3 - \sqrt{x}\right) - \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\mathbf{elif}\;z \leq 4.6 \cdot 10^{+27}:\\
\;\;\;\;t\_3 + \left(\left(t\_1 + \frac{1}{\sqrt{z} + \sqrt{1 + z}}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(t\_3 + \left(\frac{1}{\sqrt{y} + t\_1} - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if z < 7.00000000000000035e-16Initial program 97.8%
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.f6433.8
Simplified33.8%
Taylor expanded in x around 0
--lowering--.f64N/A
+-commutativeN/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.f6428.7
Simplified28.7%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.6
Simplified23.6%
if 7.00000000000000035e-16 < z < 4.6000000000000001e27Initial program 82.4%
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.f6488.1
Applied egg-rr88.1%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.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
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6430.1
Simplified30.1%
if 4.6000000000000001e27 < z Initial program 85.3%
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.f6486.0
Applied egg-rr86.0%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6466.1
Simplified66.1%
Final simplification44.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<=
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ (- (sqrt (+ 1.0 x)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))))
2.5)
(sqrt z)
(- 1.0 (sqrt z))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (((sqrt((1.0 + z)) - sqrt(z)) + ((sqrt((1.0 + x)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y)))) <= 2.5) {
tmp = sqrt(z);
} else {
tmp = 1.0 - sqrt(z);
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (((sqrt((1.0d0 + z)) - sqrt(z)) + ((sqrt((1.0d0 + x)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y)))) <= 2.5d0) then
tmp = sqrt(z)
else
tmp = 1.0d0 - sqrt(z)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (((Math.sqrt((1.0 + z)) - Math.sqrt(z)) + ((Math.sqrt((1.0 + x)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y)))) <= 2.5) {
tmp = Math.sqrt(z);
} else {
tmp = 1.0 - Math.sqrt(z);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if ((math.sqrt((1.0 + z)) - math.sqrt(z)) + ((math.sqrt((1.0 + x)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y)))) <= 2.5: tmp = math.sqrt(z) else: tmp = 1.0 - math.sqrt(z) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y)))) <= 2.5) tmp = sqrt(z); else tmp = Float64(1.0 - sqrt(z)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (((sqrt((1.0 + z)) - sqrt(z)) + ((sqrt((1.0 + x)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y)))) <= 2.5)
tmp = sqrt(z);
else
tmp = 1.0 - sqrt(z);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.5], N[Sqrt[z], $MachinePrecision], N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(\sqrt{1 + x} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) \leq 2.5:\\
\;\;\;\;\sqrt{z}\\
\mathbf{else}:\\
\;\;\;\;1 - \sqrt{z}\\
\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))) < 2.5Initial program 88.9%
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.f6411.5
Simplified11.5%
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.f645.3
Simplified5.3%
Taylor expanded in y around inf
sqrt-lowering-sqrt.f644.5
Simplified4.5%
Taylor expanded in z around inf
sqrt-lowering-sqrt.f647.3
Simplified7.3%
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 99.5%
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.f6496.3
Simplified96.3%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.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
Simplified58.2%
Taylor expanded in z around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
sqrt-lowering-sqrt.f6417.5
Simplified17.5%
Final simplification8.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= z 1e+16) (- (+ (sqrt (+ 1.0 z)) (fma y 0.5 2.0)) (+ (sqrt x) (+ (sqrt y) (sqrt z)))) (+ (sqrt (+ 1.0 x)) (- (sqrt (+ y 1.0)) (+ (sqrt y) (sqrt x))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 1e+16) {
tmp = (sqrt((1.0 + z)) + fma(y, 0.5, 2.0)) - (sqrt(x) + (sqrt(y) + sqrt(z)));
} else {
tmp = sqrt((1.0 + x)) + (sqrt((y + 1.0)) - (sqrt(y) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 1e+16) tmp = Float64(Float64(sqrt(Float64(1.0 + z)) + fma(y, 0.5, 2.0)) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); else tmp = Float64(sqrt(Float64(1.0 + x)) + Float64(sqrt(Float64(y + 1.0)) - Float64(sqrt(y) + 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_] := If[LessEqual[z, 1e+16], N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[(y * 0.5 + 2.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 10^{+16}:\\
\;\;\;\;\left(\sqrt{1 + z} + \mathsf{fma}\left(y, 0.5, 2\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{1 + x} + \left(\sqrt{y + 1} - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if z < 1e16Initial 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.f6429.9
Simplified29.9%
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.f6419.9
Simplified19.9%
Taylor expanded in y around 0
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f6419.7
Simplified19.7%
if 1e16 < z Initial program 84.1%
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.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.f6431.2
Simplified31.2%
Final simplification25.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= z 1.6e+15) (- (+ (sqrt (+ 1.0 z)) 2.0) (+ (sqrt x) (+ (sqrt y) (sqrt z)))) (+ (sqrt (+ 1.0 x)) (- (sqrt (+ y 1.0)) (+ (sqrt y) (sqrt x))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 1.6e+15) {
tmp = (sqrt((1.0 + z)) + 2.0) - (sqrt(x) + (sqrt(y) + sqrt(z)));
} else {
tmp = sqrt((1.0 + x)) + (sqrt((y + 1.0)) - (sqrt(y) + sqrt(x)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (z <= 1.6d+15) then
tmp = (sqrt((1.0d0 + z)) + 2.0d0) - (sqrt(x) + (sqrt(y) + sqrt(z)))
else
tmp = sqrt((1.0d0 + x)) + (sqrt((y + 1.0d0)) - (sqrt(y) + sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (z <= 1.6e+15) {
tmp = (Math.sqrt((1.0 + z)) + 2.0) - (Math.sqrt(x) + (Math.sqrt(y) + Math.sqrt(z)));
} else {
tmp = Math.sqrt((1.0 + x)) + (Math.sqrt((y + 1.0)) - (Math.sqrt(y) + Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if z <= 1.6e+15: tmp = (math.sqrt((1.0 + z)) + 2.0) - (math.sqrt(x) + (math.sqrt(y) + math.sqrt(z))) else: tmp = math.sqrt((1.0 + x)) + (math.sqrt((y + 1.0)) - (math.sqrt(y) + math.sqrt(x))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 1.6e+15) tmp = Float64(Float64(sqrt(Float64(1.0 + z)) + 2.0) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); else tmp = Float64(sqrt(Float64(1.0 + x)) + Float64(sqrt(Float64(y + 1.0)) - Float64(sqrt(y) + sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (z <= 1.6e+15)
tmp = (sqrt((1.0 + z)) + 2.0) - (sqrt(x) + (sqrt(y) + sqrt(z)));
else
tmp = sqrt((1.0 + x)) + (sqrt((y + 1.0)) - (sqrt(y) + sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[z, 1.6e+15], N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 1.6 \cdot 10^{+15}:\\
\;\;\;\;\left(\sqrt{1 + z} + 2\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{1 + x} + \left(\sqrt{y + 1} - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if z < 1.6e15Initial 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.f6429.9
Simplified29.9%
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.f6419.9
Simplified19.9%
Taylor expanded in y around 0
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6418.0
Simplified18.0%
if 1.6e15 < z Initial program 84.1%
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.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.f6431.2
Simplified31.2%
Final simplification24.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (let* ((t_1 (sqrt (+ y 1.0))) (t_2 (+ (sqrt y) (sqrt x)))) (if (<= z 0.0155) (- (+ t_1 2.0) t_2) (+ (sqrt (+ 1.0 x)) (- t_1 t_2)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt(y) + sqrt(x);
double tmp;
if (z <= 0.0155) {
tmp = (t_1 + 2.0) - t_2;
} else {
tmp = sqrt((1.0 + x)) + (t_1 - t_2);
}
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((y + 1.0d0))
t_2 = sqrt(y) + sqrt(x)
if (z <= 0.0155d0) then
tmp = (t_1 + 2.0d0) - t_2
else
tmp = sqrt((1.0d0 + x)) + (t_1 - t_2)
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((y + 1.0));
double t_2 = Math.sqrt(y) + Math.sqrt(x);
double tmp;
if (z <= 0.0155) {
tmp = (t_1 + 2.0) - t_2;
} else {
tmp = Math.sqrt((1.0 + x)) + (t_1 - t_2);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt(y) + math.sqrt(x) tmp = 0 if z <= 0.0155: tmp = (t_1 + 2.0) - t_2 else: tmp = math.sqrt((1.0 + x)) + (t_1 - t_2) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(y) + sqrt(x)) tmp = 0.0 if (z <= 0.0155) tmp = Float64(Float64(t_1 + 2.0) - t_2); else tmp = Float64(sqrt(Float64(1.0 + x)) + Float64(t_1 - t_2)); 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((y + 1.0));
t_2 = sqrt(y) + sqrt(x);
tmp = 0.0;
if (z <= 0.0155)
tmp = (t_1 + 2.0) - t_2;
else
tmp = sqrt((1.0 + x)) + (t_1 - t_2);
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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 0.0155], N[(N[(t$95$1 + 2.0), $MachinePrecision] - t$95$2), $MachinePrecision], N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(t$95$1 - t$95$2), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{y} + \sqrt{x}\\
\mathbf{if}\;z \leq 0.0155:\\
\;\;\;\;\left(t\_1 + 2\right) - t\_2\\
\mathbf{else}:\\
\;\;\;\;\sqrt{1 + x} + \left(t\_1 - t\_2\right)\\
\end{array}
\end{array}
if z < 0.0155Initial program 97.6%
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.f6429.5
Simplified29.5%
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.f6418.6
Simplified18.6%
Taylor expanded in y around inf
sqrt-lowering-sqrt.f6418.6
Simplified18.6%
Taylor expanded in z around 0
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.6
Simplified18.6%
if 0.0155 < z Initial program 84.2%
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.f647.6
Simplified7.6%
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.f6429.9
Simplified29.9%
Final simplification25.0%
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 (+ y 1.0))) (t_2 (+ (sqrt y) (sqrt x)))) (if (<= z 0.005) (- (+ t_1 2.0) t_2) (+ 1.0 (- t_1 t_2)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt(y) + sqrt(x);
double tmp;
if (z <= 0.005) {
tmp = (t_1 + 2.0) - t_2;
} else {
tmp = 1.0 + (t_1 - t_2);
}
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((y + 1.0d0))
t_2 = sqrt(y) + sqrt(x)
if (z <= 0.005d0) then
tmp = (t_1 + 2.0d0) - t_2
else
tmp = 1.0d0 + (t_1 - t_2)
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((y + 1.0));
double t_2 = Math.sqrt(y) + Math.sqrt(x);
double tmp;
if (z <= 0.005) {
tmp = (t_1 + 2.0) - t_2;
} else {
tmp = 1.0 + (t_1 - t_2);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt(y) + math.sqrt(x) tmp = 0 if z <= 0.005: tmp = (t_1 + 2.0) - t_2 else: tmp = 1.0 + (t_1 - t_2) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(y) + sqrt(x)) tmp = 0.0 if (z <= 0.005) tmp = Float64(Float64(t_1 + 2.0) - t_2); else tmp = Float64(1.0 + Float64(t_1 - t_2)); 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((y + 1.0));
t_2 = sqrt(y) + sqrt(x);
tmp = 0.0;
if (z <= 0.005)
tmp = (t_1 + 2.0) - t_2;
else
tmp = 1.0 + (t_1 - t_2);
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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 0.005], N[(N[(t$95$1 + 2.0), $MachinePrecision] - t$95$2), $MachinePrecision], N[(1.0 + N[(t$95$1 - t$95$2), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{y} + \sqrt{x}\\
\mathbf{if}\;z \leq 0.005:\\
\;\;\;\;\left(t\_1 + 2\right) - t\_2\\
\mathbf{else}:\\
\;\;\;\;1 + \left(t\_1 - t\_2\right)\\
\end{array}
\end{array}
if z < 0.0050000000000000001Initial program 97.6%
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.f6429.5
Simplified29.5%
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.f6418.6
Simplified18.6%
Taylor expanded in y around inf
sqrt-lowering-sqrt.f6418.6
Simplified18.6%
Taylor expanded in z around 0
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6418.6
Simplified18.6%
if 0.0050000000000000001 < z Initial program 84.2%
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.f647.6
Simplified7.6%
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.f646.0
Simplified6.0%
Taylor expanded in z around inf
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.f6430.9
Simplified30.9%
Final simplification25.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (sqrt (+ y 1.0)) (+ (sqrt y) (sqrt x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + (sqrt((y + 1.0)) - (sqrt(y) + 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((y + 1.0d0)) - (sqrt(y) + 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((y + 1.0)) - (Math.sqrt(y) + Math.sqrt(x)));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + (math.sqrt((y + 1.0)) - (math.sqrt(y) + math.sqrt(x)))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(sqrt(Float64(y + 1.0)) - Float64(sqrt(y) + sqrt(x)))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + (sqrt((y + 1.0)) - (sqrt(y) + 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[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(\sqrt{y + 1} - \left(\sqrt{y} + \sqrt{x}\right)\right)
\end{array}
Initial program 90.0%
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.f6417.1
Simplified17.1%
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.f6411.5
Simplified11.5%
Taylor expanded in z around inf
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.f6424.2
Simplified24.2%
Final simplification24.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= z 1.0) (- 1.0 (sqrt z)) (* 0.5 (sqrt (/ 1.0 y)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 1.0) {
tmp = 1.0 - sqrt(z);
} else {
tmp = 0.5 * sqrt((1.0 / y));
}
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) :: tmp
if (z <= 1.0d0) then
tmp = 1.0d0 - sqrt(z)
else
tmp = 0.5d0 * sqrt((1.0d0 / y))
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 tmp;
if (z <= 1.0) {
tmp = 1.0 - Math.sqrt(z);
} else {
tmp = 0.5 * Math.sqrt((1.0 / y));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if z <= 1.0: tmp = 1.0 - math.sqrt(z) else: tmp = 0.5 * math.sqrt((1.0 / y)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 1.0) tmp = Float64(1.0 - sqrt(z)); else tmp = Float64(0.5 * sqrt(Float64(1.0 / y))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (z <= 1.0)
tmp = 1.0 - sqrt(z);
else
tmp = 0.5 * sqrt((1.0 / y));
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_] := If[LessEqual[z, 1.0], N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 1:\\
\;\;\;\;1 - \sqrt{z}\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{y}}\\
\end{array}
\end{array}
if z < 1Initial program 97.6%
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.f6433.6
Simplified33.6%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.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
Simplified35.6%
Taylor expanded in z around inf
mul-1-negN/A
neg-lowering-neg.f64N/A
sqrt-lowering-sqrt.f6426.8
Simplified26.8%
if 1 < z Initial program 84.2%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6440.4
Simplified40.4%
Taylor expanded in y around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f649.9
Simplified9.9%
Final simplification17.2%
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 (* 0.5 (sqrt (/ 1.0 t)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + (0.5 * sqrt((1.0 / t)));
}
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 + (0.5d0 * sqrt((1.0d0 / t)))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + (0.5 * Math.sqrt((1.0 / t)));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + (0.5 * math.sqrt((1.0 / t)))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(0.5 * sqrt(Float64(1.0 / t)))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + (0.5 * sqrt((1.0 / t)));
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[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + 0.5 \cdot \sqrt{\frac{1}{t}}
\end{array}
Initial program 90.0%
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.f6418.4
Simplified18.4%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.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
Simplified26.3%
Taylor expanded in t around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6425.1
Simplified25.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (sqrt z))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 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 = sqrt(z)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(z);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(z)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return sqrt(z) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 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[Sqrt[z], $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{z}
\end{array}
Initial program 90.0%
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.f6417.1
Simplified17.1%
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.f6411.5
Simplified11.5%
Taylor expanded in y around inf
sqrt-lowering-sqrt.f6410.8
Simplified10.8%
Taylor expanded in z around inf
sqrt-lowering-sqrt.f647.2
Simplified7.2%
(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 2024198
(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))))