
(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 22 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 t)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (- t_3 (sqrt z)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ t_4 (+ (- t_5 (sqrt y)) (- t_2 (sqrt x))))))
(if (<= t_6 1.00005)
(+
(+ (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 (+ (sqrt x) t_2))) t_4)
(- t_1 (sqrt t)))
(if (<= t_6 2.1)
(- (+ t_2 (+ t_5 (/ 1.0 (+ (sqrt z) t_3)))) (+ (sqrt y) (sqrt x)))
(+
(+ (+ 1.0 t_2) (- t_3 (+ (sqrt x) (+ (sqrt y) (sqrt z)))))
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t));
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + z));
double t_4 = t_3 - sqrt(z);
double t_5 = sqrt((y + 1.0));
double t_6 = t_4 + ((t_5 - sqrt(y)) + (t_2 - sqrt(x)));
double tmp;
if (t_6 <= 1.00005) {
tmp = (fma(0.5, sqrt((1.0 / y)), (1.0 / (sqrt(x) + t_2))) + t_4) + (t_1 - sqrt(t));
} else if (t_6 <= 2.1) {
tmp = (t_2 + (t_5 + (1.0 / (sqrt(z) + t_3)))) - (sqrt(y) + sqrt(x));
} else {
tmp = ((1.0 + t_2) + (t_3 - (sqrt(x) + (sqrt(y) + sqrt(z))))) + (((1.0 + t) - t) / (sqrt(t) + t_1));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + t)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(t_3 - sqrt(z)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(t_4 + Float64(Float64(t_5 - sqrt(y)) + Float64(t_2 - sqrt(x)))) tmp = 0.0 if (t_6 <= 1.00005) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / y)), Float64(1.0 / Float64(sqrt(x) + t_2))) + t_4) + Float64(t_1 - sqrt(t))); elseif (t_6 <= 2.1) tmp = Float64(Float64(t_2 + Float64(t_5 + Float64(1.0 / Float64(sqrt(z) + t_3)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(1.0 + t_2) + Float64(t_3 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))) + Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_1))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$4 + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.00005], 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] + t$95$4), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.1], N[(N[(t$95$2 + N[(t$95$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], N[(N[(N[(1.0 + t$95$2), $MachinePrecision] + N[(t$95$3 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + z}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \sqrt{y + 1}\\
t_6 := t\_4 + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 1.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{1}{\sqrt{x} + t\_2}\right) + t\_4\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_6 \leq 2.1:\\
\;\;\;\;\left(t\_2 + \left(t\_5 + \frac{1}{\sqrt{z} + t\_3}\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(1 + t\_2\right) + \left(t\_3 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\right) + \frac{\left(1 + t\right) - t}{\sqrt{t} + t\_1}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 89.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6489.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6489.7
Applied egg-rr89.7%
Applied egg-rr91.7%
Taylor expanded in y around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6471.4
Simplified71.4%
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))) < 2.10000000000000009Initial program 95.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6495.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6495.5
Applied egg-rr95.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
Simplified26.7%
if 2.10000000000000009 < (+.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 99.7%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6495.6
Simplified95.6%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6495.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6495.6
Applied egg-rr95.6%
Final simplification57.8%
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 z)))
(t_2 (+ (sqrt y) (sqrt x)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (sqrt (+ 1.0 z)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (- t_4 (sqrt z)) (+ (- t_5 (sqrt y)) (- t_3 (sqrt x))))))
(if (<= t_6 0.0)
(* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) t_1)))
(if (<= t_6 1.00005)
(fma
(- (+ 1.0 x) x)
(/ 1.0 (+ (sqrt x) t_3))
(+ (/ 0.5 (sqrt z)) (/ 0.5 (sqrt y))))
(if (<= t_6 2.00005)
(+ t_3 (- (fma 0.5 t_1 t_5) t_2))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ 2.0 (- t_4 (+ (sqrt z) t_2)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 / z));
double t_2 = sqrt(y) + sqrt(x);
double t_3 = sqrt((1.0 + x));
double t_4 = sqrt((1.0 + z));
double t_5 = sqrt((y + 1.0));
double t_6 = (t_4 - sqrt(z)) + ((t_5 - sqrt(y)) + (t_3 - sqrt(x)));
double tmp;
if (t_6 <= 0.0) {
tmp = 0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + t_1));
} else if (t_6 <= 1.00005) {
tmp = fma(((1.0 + x) - x), (1.0 / (sqrt(x) + t_3)), ((0.5 / sqrt(z)) + (0.5 / sqrt(y))));
} else if (t_6 <= 2.00005) {
tmp = t_3 + (fma(0.5, t_1, t_5) - t_2);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (2.0 + (t_4 - (sqrt(z) + t_2)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 / z)) t_2 = Float64(sqrt(y) + sqrt(x)) t_3 = sqrt(Float64(1.0 + x)) t_4 = sqrt(Float64(1.0 + z)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(t_5 - sqrt(y)) + Float64(t_3 - sqrt(x)))) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + t_1))); elseif (t_6 <= 1.00005) tmp = fma(Float64(Float64(1.0 + x) - x), Float64(1.0 / Float64(sqrt(x) + t_3)), Float64(Float64(0.5 / sqrt(z)) + Float64(0.5 / sqrt(y)))); elseif (t_6 <= 2.00005) tmp = Float64(t_3 + Float64(fma(0.5, t_1, t_5) - t_2)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(2.0 + Float64(t_4 - Float64(sqrt(z) + t_2)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.00005], N[(N[(N[(1.0 + x), $MachinePrecision] - x), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(0.5 / N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.00005], N[(t$95$3 + N[(N[(0.5 * t$95$1 + t$95$5), $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(2.0 + N[(t$95$4 - N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{\frac{1}{z}}\\
t_2 := \sqrt{y} + \sqrt{x}\\
t_3 := \sqrt{1 + x}\\
t_4 := \sqrt{1 + z}\\
t_5 := \sqrt{y + 1}\\
t_6 := \left(t\_4 - \sqrt{z}\right) + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + t\_1\right)\right)\\
\mathbf{elif}\;t\_6 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(\left(1 + x\right) - x, \frac{1}{\sqrt{x} + t\_3}, \frac{0.5}{\sqrt{z}} + \frac{0.5}{\sqrt{y}}\right)\\
\mathbf{elif}\;t\_6 \leq 2.00005:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, t\_1, t\_5\right) - t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(2 + \left(t\_4 - \left(\sqrt{z} + t\_2\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 58.6%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6471.8
Simplified71.8%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6458.6
Simplified58.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f643.2
Simplified3.2%
Taylor expanded in x around inf
distribute-lft-outN/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f6428.2
Simplified28.2%
if 0.0 < (+.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 96.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6468.1
Simplified68.1%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6444.0
Simplified44.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.4
Simplified27.4%
Applied egg-rr28.9%
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))) < 2.0000499999999999Initial program 95.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.1
Simplified27.1%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Simplified22.8%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6494.5
Simplified94.5%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6487.3
Simplified87.3%
Final simplification34.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (/ 1.0 z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_3 (sqrt z)) (+ (- t_4 (sqrt y)) (- t_2 (sqrt x)))))
(t_6 (+ (sqrt (/ 1.0 y)) t_1))
(t_7 (+ (sqrt y) (sqrt x))))
(if (<= t_5 5e-5)
(* 0.5 (+ (sqrt (/ 1.0 x)) t_6))
(if (<= t_5 1.00005)
(- (fma 0.5 t_6 t_2) (sqrt x))
(if (<= t_5 2.00005)
(+ t_2 (- (fma 0.5 t_1 t_4) t_7))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ 2.0 (- t_3 (+ (sqrt z) t_7)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 / z));
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((y + 1.0));
double t_5 = (t_3 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_2 - sqrt(x)));
double t_6 = sqrt((1.0 / y)) + t_1;
double t_7 = sqrt(y) + sqrt(x);
double tmp;
if (t_5 <= 5e-5) {
tmp = 0.5 * (sqrt((1.0 / x)) + t_6);
} else if (t_5 <= 1.00005) {
tmp = fma(0.5, t_6, t_2) - sqrt(x);
} else if (t_5 <= 2.00005) {
tmp = t_2 + (fma(0.5, t_1, t_4) - t_7);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (2.0 + (t_3 - (sqrt(z) + t_7)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 / z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(1.0 + z)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(t_2 - sqrt(x)))) t_6 = Float64(sqrt(Float64(1.0 / y)) + t_1) t_7 = Float64(sqrt(y) + sqrt(x)) tmp = 0.0 if (t_5 <= 5e-5) tmp = Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + t_6)); elseif (t_5 <= 1.00005) tmp = Float64(fma(0.5, t_6, t_2) - sqrt(x)); elseif (t_5 <= 2.00005) tmp = Float64(t_2 + Float64(fma(0.5, t_1, t_4) - t_7)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(2.0 + Float64(t_3 - Float64(sqrt(z) + t_7)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$7 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-5], N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.00005], N[(N[(0.5 * t$95$6 + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(t$95$2 + N[(N[(0.5 * t$95$1 + t$95$4), $MachinePrecision] - t$95$7), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(2.0 + N[(t$95$3 - N[(N[Sqrt[z], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{\frac{1}{z}}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_3 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right)\\
t_6 := \sqrt{\frac{1}{y}} + t\_1\\
t_7 := \sqrt{y} + \sqrt{x}\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{\frac{1}{x}} + t\_6\right)\\
\mathbf{elif}\;t\_5 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_6, t\_2\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, t\_1, t\_4\right) - t\_7\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(2 + \left(t\_3 - \left(\sqrt{z} + t\_7\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))) < 5.00000000000000024e-5Initial program 60.2%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6472.4
Simplified72.4%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6459.1
Simplified59.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f643.6
Simplified3.6%
Taylor expanded in x around inf
distribute-lft-outN/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f6426.9
Simplified26.9%
if 5.00000000000000024e-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))) < 1.00005000000000011Initial program 96.5%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6467.9
Simplified67.9%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.7
Simplified43.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.7
Simplified27.7%
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))) < 2.0000499999999999Initial program 95.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.1
Simplified27.1%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Simplified22.8%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6494.5
Simplified94.5%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6487.3
Simplified87.3%
Final simplification33.8%
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 z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_3 (sqrt z)) (+ (- t_4 (sqrt y)) (- t_2 (sqrt x)))))
(t_6 (+ (sqrt (/ 1.0 y)) t_1))
(t_7 (+ (sqrt y) (sqrt x))))
(if (<= t_5 5e-5)
(* 0.5 (+ (sqrt (/ 1.0 x)) t_6))
(if (<= t_5 1.00005)
(- (fma 0.5 t_6 t_2) (sqrt x))
(if (<= t_5 2.00005)
(+ t_2 (- (fma 0.5 t_1 t_4) t_7))
(- (+ 1.0 (+ t_3 t_4)) (+ (sqrt z) t_7)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 / z));
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((y + 1.0));
double t_5 = (t_3 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_2 - sqrt(x)));
double t_6 = sqrt((1.0 / y)) + t_1;
double t_7 = sqrt(y) + sqrt(x);
double tmp;
if (t_5 <= 5e-5) {
tmp = 0.5 * (sqrt((1.0 / x)) + t_6);
} else if (t_5 <= 1.00005) {
tmp = fma(0.5, t_6, t_2) - sqrt(x);
} else if (t_5 <= 2.00005) {
tmp = t_2 + (fma(0.5, t_1, t_4) - t_7);
} else {
tmp = (1.0 + (t_3 + t_4)) - (sqrt(z) + t_7);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 / z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(1.0 + z)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(t_2 - sqrt(x)))) t_6 = Float64(sqrt(Float64(1.0 / y)) + t_1) t_7 = Float64(sqrt(y) + sqrt(x)) tmp = 0.0 if (t_5 <= 5e-5) tmp = Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + t_6)); elseif (t_5 <= 1.00005) tmp = Float64(fma(0.5, t_6, t_2) - sqrt(x)); elseif (t_5 <= 2.00005) tmp = Float64(t_2 + Float64(fma(0.5, t_1, t_4) - t_7)); else tmp = Float64(Float64(1.0 + Float64(t_3 + t_4)) - Float64(sqrt(z) + t_7)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$7 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-5], N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.00005], N[(N[(0.5 * t$95$6 + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(t$95$2 + N[(N[(0.5 * t$95$1 + t$95$4), $MachinePrecision] - t$95$7), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(t$95$3 + t$95$4), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{\frac{1}{z}}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_3 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right)\\
t_6 := \sqrt{\frac{1}{y}} + t\_1\\
t_7 := \sqrt{y} + \sqrt{x}\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{\frac{1}{x}} + t\_6\right)\\
\mathbf{elif}\;t\_5 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_6, t\_2\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, t\_1, t\_4\right) - t\_7\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(t\_3 + t\_4\right)\right) - \left(\sqrt{z} + t\_7\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))) < 5.00000000000000024e-5Initial program 60.2%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6472.4
Simplified72.4%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6459.1
Simplified59.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f643.6
Simplified3.6%
Taylor expanded in x around inf
distribute-lft-outN/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f6426.9
Simplified26.9%
if 5.00000000000000024e-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))) < 1.00005000000000011Initial program 96.5%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6467.9
Simplified67.9%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.7
Simplified43.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.7
Simplified27.7%
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))) < 2.0000499999999999Initial program 95.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.1
Simplified27.1%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Simplified22.8%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6459.5
Simplified59.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6451.2
Simplified51.2%
Final simplification29.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (+ (sqrt y) (sqrt x)))
(t_4 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (- t_2 (sqrt z)) (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_6 5e-5)
(* 0.5 (+ (sqrt (/ 1.0 x)) t_4))
(if (<= t_6 1.00005)
(- (fma 0.5 t_4 t_1) (sqrt x))
(if (<= t_6 2.0)
(+ t_1 (- t_5 t_3))
(- (+ 1.0 (+ t_2 t_5)) (+ (sqrt z) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt(y) + sqrt(x);
double t_4 = sqrt((1.0 / y)) + sqrt((1.0 / z));
double t_5 = sqrt((y + 1.0));
double t_6 = (t_2 - sqrt(z)) + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 5e-5) {
tmp = 0.5 * (sqrt((1.0 / x)) + t_4);
} else if (t_6 <= 1.00005) {
tmp = fma(0.5, t_4, t_1) - sqrt(x);
} else if (t_6 <= 2.0) {
tmp = t_1 + (t_5 - t_3);
} else {
tmp = (1.0 + (t_2 + t_5)) - (sqrt(z) + t_3);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(y) + sqrt(x)) t_4 = Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 5e-5) tmp = Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + t_4)); elseif (t_6 <= 1.00005) tmp = Float64(fma(0.5, t_4, t_1) - sqrt(x)); elseif (t_6 <= 2.0) tmp = Float64(t_1 + Float64(t_5 - t_3)); else tmp = Float64(Float64(1.0 + Float64(t_2 + t_5)) - Float64(sqrt(z) + t_3)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 5e-5], N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.00005], N[(N[(0.5 * t$95$4 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0], N[(t$95$1 + N[(t$95$5 - t$95$3), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(t$95$2 + t$95$5), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y} + \sqrt{x}\\
t_4 := \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\\
t_5 := \sqrt{y + 1}\\
t_6 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{\frac{1}{x}} + t\_4\right)\\
\mathbf{elif}\;t\_6 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_4, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;t\_1 + \left(t\_5 - t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(t\_2 + t\_5\right)\right) - \left(\sqrt{z} + t\_3\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))) < 5.00000000000000024e-5Initial program 60.2%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6472.4
Simplified72.4%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6459.1
Simplified59.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f643.6
Simplified3.6%
Taylor expanded in x around inf
distribute-lft-outN/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f6426.9
Simplified26.9%
if 5.00000000000000024e-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))) < 1.00005000000000011Initial program 96.5%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6467.9
Simplified67.9%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.7
Simplified43.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.7
Simplified27.7%
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))) < 2Initial program 95.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.2
Simplified27.2%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.5
Simplified25.5%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6458.4
Simplified58.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6450.3
Simplified50.3%
Final simplification30.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (+ (sqrt y) (sqrt x)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt y)) (- t_1 (sqrt x)))))
(t_6 (sqrt (/ 1.0 y))))
(if (<= t_5 5e-5)
(* 0.5 (+ (sqrt (/ 1.0 x)) (+ t_6 (sqrt (/ 1.0 z)))))
(if (<= t_5 1.00005)
(- (fma 0.5 t_6 t_1) (sqrt x))
(if (<= t_5 2.0)
(+ t_1 (- t_4 t_3))
(- (+ 1.0 (+ t_2 t_4)) (+ (sqrt z) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt(y) + sqrt(x);
double t_4 = sqrt((y + 1.0));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
double t_6 = sqrt((1.0 / y));
double tmp;
if (t_5 <= 5e-5) {
tmp = 0.5 * (sqrt((1.0 / x)) + (t_6 + sqrt((1.0 / z))));
} else if (t_5 <= 1.00005) {
tmp = fma(0.5, t_6, t_1) - sqrt(x);
} else if (t_5 <= 2.0) {
tmp = t_1 + (t_4 - t_3);
} else {
tmp = (1.0 + (t_2 + t_4)) - (sqrt(z) + t_3);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(y) + sqrt(x)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(t_1 - sqrt(x)))) t_6 = sqrt(Float64(1.0 / y)) tmp = 0.0 if (t_5 <= 5e-5) tmp = Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(t_6 + sqrt(Float64(1.0 / z))))); elseif (t_5 <= 1.00005) tmp = Float64(fma(0.5, t_6, t_1) - sqrt(x)); elseif (t_5 <= 2.0) tmp = Float64(t_1 + Float64(t_4 - t_3)); else tmp = Float64(Float64(1.0 + Float64(t_2 + t_4)) - Float64(sqrt(z) + t_3)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$5, 5e-5], N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(t$95$6 + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.00005], N[(N[(0.5 * t$95$6 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(t$95$1 + N[(t$95$4 - t$95$3), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(t$95$2 + t$95$4), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y} + \sqrt{x}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
t_6 := \sqrt{\frac{1}{y}}\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(t\_6 + \sqrt{\frac{1}{z}}\right)\right)\\
\mathbf{elif}\;t\_5 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_6, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;t\_1 + \left(t\_4 - t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(t\_2 + t\_4\right)\right) - \left(\sqrt{z} + t\_3\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))) < 5.00000000000000024e-5Initial program 60.2%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6472.4
Simplified72.4%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6459.1
Simplified59.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f643.6
Simplified3.6%
Taylor expanded in x around inf
distribute-lft-outN/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f6426.9
Simplified26.9%
if 5.00000000000000024e-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))) < 1.00005000000000011Initial program 96.5%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6467.9
Simplified67.9%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.7
Simplified43.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.7
Simplified27.7%
Taylor expanded in y around 0
lower-sqrt.f64N/A
lower-/.f6425.9
Simplified25.9%
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))) < 2Initial program 95.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.2
Simplified27.2%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.5
Simplified25.5%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6458.4
Simplified58.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6450.3
Simplified50.3%
Final simplification29.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (+ (sqrt y) (sqrt x)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_5 0.0)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_5 1.00005)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(if (<= t_5 2.0)
(+ t_1 (- t_4 t_3))
(- (+ 1.0 (+ t_2 t_4)) (+ (sqrt z) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt(y) + sqrt(x);
double t_4 = sqrt((y + 1.0));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_5 <= 0.0) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_5 <= 1.00005) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else if (t_5 <= 2.0) {
tmp = t_1 + (t_4 - t_3);
} else {
tmp = (1.0 + (t_2 + t_4)) - (sqrt(z) + t_3);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(y) + sqrt(x)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_5 <= 1.00005) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); elseif (t_5 <= 2.0) tmp = Float64(t_1 + Float64(t_4 - t_3)); else tmp = Float64(Float64(1.0 + Float64(t_2 + t_4)) - Float64(sqrt(z) + t_3)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.00005], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(t$95$1 + N[(t$95$4 - t$95$3), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(t$95$2 + t$95$4), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y} + \sqrt{x}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_5 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;t\_1 + \left(t\_4 - t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(t\_2 + t\_4\right)\right) - \left(\sqrt{z} + t\_3\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))) < 0.0Initial program 58.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6460.6
Simplified60.6%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f646.9
Simplified6.9%
if 0.0 < (+.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 96.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6468.1
Simplified68.1%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6444.0
Simplified44.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.4
Simplified27.4%
Taylor expanded in y around 0
lower-sqrt.f64N/A
lower-/.f6425.6
Simplified25.6%
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))) < 2Initial program 95.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.2
Simplified27.2%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.5
Simplified25.5%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6458.4
Simplified58.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6450.3
Simplified50.3%
Final simplification27.3%
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 x)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_4 0.0)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_4 1.00005)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(if (<= t_4 2.0)
(+ t_1 (- t_3 (+ (sqrt y) (sqrt x))))
(+ (+ t_2 t_3) (- t_1 (+ (sqrt x) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 0.0) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_4 <= 1.00005) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else if (t_4 <= 2.0) {
tmp = t_1 + (t_3 - (sqrt(y) + sqrt(x)));
} else {
tmp = (t_2 + t_3) + (t_1 - (sqrt(x) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_4 <= 1.00005) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); elseif (t_4 <= 2.0) tmp = Float64(t_1 + Float64(t_3 - Float64(sqrt(y) + sqrt(x)))); else tmp = Float64(Float64(t_2 + t_3) + Float64(t_1 - Float64(sqrt(x) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.00005], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(t$95$1 + N[(t$95$3 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + t$95$3), $MachinePrecision] + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_4 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;t\_1 + \left(t\_3 - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + t\_3\right) + \left(t\_1 - \left(\sqrt{x} + \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))) < 0.0Initial program 58.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6460.6
Simplified60.6%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f646.9
Simplified6.9%
if 0.0 < (+.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 96.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6468.1
Simplified68.1%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6444.0
Simplified44.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.4
Simplified27.4%
Taylor expanded in y around 0
lower-sqrt.f64N/A
lower-/.f6425.6
Simplified25.6%
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))) < 2Initial program 95.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.2
Simplified27.2%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.5
Simplified25.5%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6458.4
Simplified58.4%
Taylor expanded in z around inf
lower-sqrt.f6454.3
Simplified54.3%
Final simplification27.8%
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)))
(t_2 (+ (sqrt y) (sqrt x)))
(t_3 (sqrt (+ y 1.0)))
(t_4
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ (- t_3 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_4 0.0)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_4 1.00005)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(if (<= t_4 2.5) (+ t_1 (- t_3 t_2)) (+ (+ 1.0 t_3) (- 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((1.0 + x));
double t_2 = sqrt(y) + sqrt(x);
double t_3 = sqrt((y + 1.0));
double t_4 = (sqrt((1.0 + z)) - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 0.0) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_4 <= 1.00005) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else if (t_4 <= 2.5) {
tmp = t_1 + (t_3 - t_2);
} else {
tmp = (1.0 + t_3) + (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(1.0 + x)) t_2 = Float64(sqrt(y) + sqrt(x)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_4 <= 1.00005) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); elseif (t_4 <= 2.5) tmp = Float64(t_1 + Float64(t_3 - t_2)); else tmp = Float64(Float64(1.0 + t_3) + Float64(t_1 - t_2)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.00005], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.5], N[(t$95$1 + N[(t$95$3 - t$95$2), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + t$95$3), $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{1 + x}\\
t_2 := \sqrt{y} + \sqrt{x}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_4 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.5:\\
\;\;\;\;t\_1 + \left(t\_3 - t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + t\_3\right) + \left(t\_1 - t\_2\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 58.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6460.6
Simplified60.6%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f646.9
Simplified6.9%
if 0.0 < (+.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 96.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6468.1
Simplified68.1%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6444.0
Simplified44.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.4
Simplified27.4%
Taylor expanded in y around 0
lower-sqrt.f64N/A
lower-/.f6425.6
Simplified25.6%
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))) < 2.5Initial program 95.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6429.3
Simplified29.3%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.2
Simplified25.2%
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 99.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6456.0
Simplified56.0%
Taylor expanded in y around inf
lower-sqrt.f6452.0
Simplified52.0%
Taylor expanded in z around 0
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f6452.0
Simplified52.0%
Final simplification27.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_5 0.0002)
(fma
0.5
(+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))))
(* -0.125 (sqrt (/ 1.0 (* x (* x x))))))
(if (<= t_5 1.99999995)
(+ t_3 (- (+ t_1 (/ 1.0 (+ (sqrt y) t_4))) (sqrt x)))
(+
t_3
(+ 1.0 (- (+ t_1 (/ 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((1.0 + x));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_5 <= 0.0002) {
tmp = fma(0.5, (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))), (-0.125 * sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 1.99999995) {
tmp = t_3 + ((t_1 + (1.0 / (sqrt(y) + t_4))) - sqrt(x));
} else {
tmp = t_3 + (1.0 + ((t_1 + (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(1.0 + x)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_5 <= 0.0002) tmp = fma(0.5, Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z)))), Float64(-0.125 * sqrt(Float64(1.0 / Float64(x * Float64(x * x)))))); elseif (t_5 <= 1.99999995) tmp = Float64(t_3 + Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(y) + t_4))) - sqrt(x))); else tmp = Float64(t_3 + Float64(1.0 + Float64(Float64(t_1 + 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[(1.0 + x), $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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0002], 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] + N[(-0.125 * N[Sqrt[N[(1.0 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.99999995], N[(t$95$3 + N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(1.0 + 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]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_5 \leq 0.0002:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\right), -0.125 \cdot \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}\right)\\
\mathbf{elif}\;t\_5 \leq 1.99999995:\\
\;\;\;\;t\_3 + \left(\left(t\_1 + \frac{1}{\sqrt{y} + t\_4}\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(1 + \left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_2}\right) - \left(\sqrt{y} + \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))) < 2.0000000000000001e-4Initial program 60.4%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6471.8
Simplified71.8%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6456.9
Simplified56.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f643.6
Simplified3.6%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
cube-multN/A
lower-*.f64N/A
lower-*.f6428.1
Simplified28.1%
if 2.0000000000000001e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.99999995000000008Initial program 96.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.9
Applied egg-rr96.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6446.7
Simplified46.7%
if 1.99999995000000008 < (+.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%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.8
Applied egg-rr96.8%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6456.5
Simplified56.5%
Final simplification49.1%
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 x)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_3 (sqrt z)) (+ (- t_4 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_5 5e-5)
(* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z)))))
(if (<= t_5 1.99999995)
(+ t_2 (- (+ t_1 (/ 1.0 (+ (sqrt y) t_4))) (sqrt x)))
(+
t_2
(+ 1.0 (- (+ t_1 (/ 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 + x));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((y + 1.0));
double t_5 = (t_3 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_5 <= 5e-5) {
tmp = 0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z))));
} else if (t_5 <= 1.99999995) {
tmp = t_2 + ((t_1 + (1.0 / (sqrt(y) + t_4))) - sqrt(x));
} else {
tmp = t_2 + (1.0 + ((t_1 + (1.0 / (sqrt(z) + t_3))) - (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) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
t_3 = sqrt((1.0d0 + z))
t_4 = sqrt((y + 1.0d0))
t_5 = (t_3 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)))
if (t_5 <= 5d-5) then
tmp = 0.5d0 * (sqrt((1.0d0 / x)) + (sqrt((1.0d0 / y)) + sqrt((1.0d0 / z))))
else if (t_5 <= 1.99999995d0) then
tmp = t_2 + ((t_1 + (1.0d0 / (sqrt(y) + t_4))) - sqrt(x))
else
tmp = t_2 + (1.0d0 + ((t_1 + (1.0d0 / (sqrt(z) + t_3))) - (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 t_1 = Math.sqrt((1.0 + x));
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_3 = Math.sqrt((1.0 + z));
double t_4 = Math.sqrt((y + 1.0));
double t_5 = (t_3 - Math.sqrt(z)) + ((t_4 - Math.sqrt(y)) + (t_1 - Math.sqrt(x)));
double tmp;
if (t_5 <= 5e-5) {
tmp = 0.5 * (Math.sqrt((1.0 / x)) + (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / z))));
} else if (t_5 <= 1.99999995) {
tmp = t_2 + ((t_1 + (1.0 / (Math.sqrt(y) + t_4))) - Math.sqrt(x));
} else {
tmp = t_2 + (1.0 + ((t_1 + (1.0 / (Math.sqrt(z) + t_3))) - (Math.sqrt(y) + 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 + x)) t_2 = math.sqrt((1.0 + t)) - math.sqrt(t) t_3 = math.sqrt((1.0 + z)) t_4 = math.sqrt((y + 1.0)) t_5 = (t_3 - math.sqrt(z)) + ((t_4 - math.sqrt(y)) + (t_1 - math.sqrt(x))) tmp = 0 if t_5 <= 5e-5: tmp = 0.5 * (math.sqrt((1.0 / x)) + (math.sqrt((1.0 / y)) + math.sqrt((1.0 / z)))) elif t_5 <= 1.99999995: tmp = t_2 + ((t_1 + (1.0 / (math.sqrt(y) + t_4))) - math.sqrt(x)) else: tmp = t_2 + (1.0 + ((t_1 + (1.0 / (math.sqrt(z) + t_3))) - (math.sqrt(y) + math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + z)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_5 <= 5e-5) tmp = Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))))); elseif (t_5 <= 1.99999995) tmp = Float64(t_2 + Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(y) + t_4))) - sqrt(x))); else tmp = Float64(t_2 + Float64(1.0 + Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_3))) - 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)
t_1 = sqrt((1.0 + x));
t_2 = sqrt((1.0 + t)) - sqrt(t);
t_3 = sqrt((1.0 + z));
t_4 = sqrt((y + 1.0));
t_5 = (t_3 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
tmp = 0.0;
if (t_5 <= 5e-5)
tmp = 0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z))));
elseif (t_5 <= 1.99999995)
tmp = t_2 + ((t_1 + (1.0 / (sqrt(y) + t_4))) - sqrt(x));
else
tmp = t_2 + (1.0 + ((t_1 + (1.0 / (sqrt(z) + t_3))) - (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_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $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 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-5], 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], If[LessEqual[t$95$5, 1.99999995], N[(t$95$2 + N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(1.0 + N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + 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 + x}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_3 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\right)\right)\\
\mathbf{elif}\;t\_5 \leq 1.99999995:\\
\;\;\;\;t\_2 + \left(\left(t\_1 + \frac{1}{\sqrt{y} + t\_4}\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(1 + \left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_3}\right) - \left(\sqrt{y} + \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))) < 5.00000000000000024e-5Initial program 60.2%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6472.4
Simplified72.4%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6459.1
Simplified59.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f643.6
Simplified3.6%
Taylor expanded in x around inf
distribute-lft-outN/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f6426.9
Simplified26.9%
if 5.00000000000000024e-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))) < 1.99999995000000008Initial program 96.2%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.6
Applied egg-rr96.6%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6446.3
Simplified46.3%
if 1.99999995000000008 < (+.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%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.8
Applied egg-rr96.8%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6456.5
Simplified56.5%
Final simplification48.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ t_3 (+ (- t_4 (sqrt y)) (- t_1 (sqrt x)))))
(t_6 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_7 (+ (sqrt y) (sqrt x))))
(if (<= t_5 1.0)
(+ t_6 (+ (/ 1.0 (+ (sqrt x) t_1)) t_3))
(if (<= t_5 2.1)
(- (+ t_1 (+ t_4 (/ 1.0 (+ (sqrt z) t_2)))) t_7)
(+ t_6 (+ 2.0 (- t_2 (+ (sqrt z) t_7))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((y + 1.0));
double t_5 = t_3 + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
double t_6 = sqrt((1.0 + t)) - sqrt(t);
double t_7 = sqrt(y) + sqrt(x);
double tmp;
if (t_5 <= 1.0) {
tmp = t_6 + ((1.0 / (sqrt(x) + t_1)) + t_3);
} else if (t_5 <= 2.1) {
tmp = (t_1 + (t_4 + (1.0 / (sqrt(z) + t_2)))) - t_7;
} else {
tmp = t_6 + (2.0 + (t_2 - (sqrt(z) + t_7)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = sqrt((1.0d0 + z))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((y + 1.0d0))
t_5 = t_3 + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)))
t_6 = sqrt((1.0d0 + t)) - sqrt(t)
t_7 = sqrt(y) + sqrt(x)
if (t_5 <= 1.0d0) then
tmp = t_6 + ((1.0d0 / (sqrt(x) + t_1)) + t_3)
else if (t_5 <= 2.1d0) then
tmp = (t_1 + (t_4 + (1.0d0 / (sqrt(z) + t_2)))) - t_7
else
tmp = t_6 + (2.0d0 + (t_2 - (sqrt(z) + t_7)))
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));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((y + 1.0));
double t_5 = t_3 + ((t_4 - Math.sqrt(y)) + (t_1 - Math.sqrt(x)));
double t_6 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_7 = Math.sqrt(y) + Math.sqrt(x);
double tmp;
if (t_5 <= 1.0) {
tmp = t_6 + ((1.0 / (Math.sqrt(x) + t_1)) + t_3);
} else if (t_5 <= 2.1) {
tmp = (t_1 + (t_4 + (1.0 / (Math.sqrt(z) + t_2)))) - t_7;
} else {
tmp = t_6 + (2.0 + (t_2 - (Math.sqrt(z) + t_7)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) t_2 = math.sqrt((1.0 + z)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((y + 1.0)) t_5 = t_3 + ((t_4 - math.sqrt(y)) + (t_1 - math.sqrt(x))) t_6 = math.sqrt((1.0 + t)) - math.sqrt(t) t_7 = math.sqrt(y) + math.sqrt(x) tmp = 0 if t_5 <= 1.0: tmp = t_6 + ((1.0 / (math.sqrt(x) + t_1)) + t_3) elif t_5 <= 2.1: tmp = (t_1 + (t_4 + (1.0 / (math.sqrt(z) + t_2)))) - t_7 else: tmp = t_6 + (2.0 + (t_2 - (math.sqrt(z) + t_7))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(t_3 + Float64(Float64(t_4 - sqrt(y)) + Float64(t_1 - sqrt(x)))) t_6 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_7 = Float64(sqrt(y) + sqrt(x)) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(t_6 + Float64(Float64(1.0 / Float64(sqrt(x) + t_1)) + t_3)); elseif (t_5 <= 2.1) tmp = Float64(Float64(t_1 + Float64(t_4 + Float64(1.0 / Float64(sqrt(z) + t_2)))) - t_7); else tmp = Float64(t_6 + Float64(2.0 + Float64(t_2 - Float64(sqrt(z) + t_7)))); 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));
t_2 = sqrt((1.0 + z));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((y + 1.0));
t_5 = t_3 + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
t_6 = sqrt((1.0 + t)) - sqrt(t);
t_7 = sqrt(y) + sqrt(x);
tmp = 0.0;
if (t_5 <= 1.0)
tmp = t_6 + ((1.0 / (sqrt(x) + t_1)) + t_3);
elseif (t_5 <= 2.1)
tmp = (t_1 + (t_4 + (1.0 / (sqrt(z) + t_2)))) - t_7;
else
tmp = t_6 + (2.0 + (t_2 - (sqrt(z) + t_7)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(t$95$6 + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.1], N[(N[(t$95$1 + N[(t$95$4 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$7), $MachinePrecision], N[(t$95$6 + N[(2.0 + N[(t$95$2 - N[(N[Sqrt[z], $MachinePrecision] + t$95$7), $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}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{y + 1}\\
t_5 := t\_3 + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
t_6 := \sqrt{1 + t} - \sqrt{t}\\
t_7 := \sqrt{y} + \sqrt{x}\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;t\_6 + \left(\frac{1}{\sqrt{x} + t\_1} + t\_3\right)\\
\mathbf{elif}\;t\_5 \leq 2.1:\\
\;\;\;\;\left(t\_1 + \left(t\_4 + \frac{1}{\sqrt{z} + t\_2}\right)\right) - t\_7\\
\mathbf{else}:\\
\;\;\;\;t\_6 + \left(2 + \left(t\_2 - \left(\sqrt{z} + t\_7\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 90.1%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6490.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6490.3
Applied egg-rr90.3%
Applied egg-rr92.2%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6471.6
Simplified71.6%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.10000000000000009Initial program 94.4%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6495.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6495.5
Applied egg-rr95.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
Simplified25.9%
if 2.10000000000000009 < (+.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 99.7%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6495.6
Simplified95.6%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6495.6
Simplified95.6%
Final simplification56.8%
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)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_5 (+ (sqrt y) (sqrt x)))
(t_6 (sqrt (+ y 1.0)))
(t_7 (+ t_3 (+ (- t_6 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_7 0.999999999793685)
(+ t_4 (+ (/ 1.0 (+ (sqrt x) t_1)) t_3))
(if (<= t_7 2.00005)
(+ t_1 (- (fma 0.5 (sqrt (/ 1.0 z)) t_6) t_5))
(+ t_4 (+ 2.0 (- t_2 (+ (sqrt z) t_5))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
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(y) + sqrt(x);
double t_6 = sqrt((y + 1.0));
double t_7 = t_3 + ((t_6 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_7 <= 0.999999999793685) {
tmp = t_4 + ((1.0 / (sqrt(x) + t_1)) + t_3);
} else if (t_7 <= 2.00005) {
tmp = t_1 + (fma(0.5, sqrt((1.0 / z)), t_6) - t_5);
} else {
tmp = t_4 + (2.0 + (t_2 - (sqrt(z) + t_5)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) 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 = Float64(sqrt(y) + sqrt(x)) t_6 = sqrt(Float64(y + 1.0)) t_7 = Float64(t_3 + Float64(Float64(t_6 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_7 <= 0.999999999793685) tmp = Float64(t_4 + Float64(Float64(1.0 / Float64(sqrt(x) + t_1)) + t_3)); elseif (t_7 <= 2.00005) tmp = Float64(t_1 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_6) - t_5)); else tmp = Float64(t_4 + Float64(2.0 + Float64(t_2 - Float64(sqrt(z) + t_5)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $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[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(t$95$3 + N[(N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 0.999999999793685], N[(t$95$4 + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 2.00005], N[(t$95$1 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$6), $MachinePrecision] - t$95$5), $MachinePrecision]), $MachinePrecision], N[(t$95$4 + N[(2.0 + N[(t$95$2 - N[(N[Sqrt[z], $MachinePrecision] + t$95$5), $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}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
t_5 := \sqrt{y} + \sqrt{x}\\
t_6 := \sqrt{y + 1}\\
t_7 := t\_3 + \left(\left(t\_6 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_7 \leq 0.999999999793685:\\
\;\;\;\;t\_4 + \left(\frac{1}{\sqrt{x} + t\_1} + t\_3\right)\\
\mathbf{elif}\;t\_7 \leq 2.00005:\\
\;\;\;\;t\_1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_6\right) - t\_5\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(2 + \left(t\_2 - \left(\sqrt{z} + t\_5\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999979368503Initial program 65.1%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6465.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6465.9
Applied egg-rr65.9%
Applied egg-rr72.9%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6466.7
Simplified66.7%
if 0.99999999979368503 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.5
Simplified15.5%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6424.5
Simplified24.5%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6494.5
Simplified94.5%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6487.3
Simplified87.3%
Final simplification37.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ y 1.0)))
(t_3
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ (- t_2 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_3 0.0)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_3 1.00005)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(+ t_1 (- 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((1.0 + x));
double t_2 = sqrt((y + 1.0));
double t_3 = (sqrt((1.0 + z)) - sqrt(z)) + ((t_2 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_3 <= 0.0) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_3 <= 1.00005) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else {
tmp = t_1 + (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(1.0 + x)) t_2 = sqrt(Float64(y + 1.0)) t_3 = Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(t_2 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_3 <= 0.0) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_3 <= 1.00005) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); else tmp = Float64(t_1 + Float64(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[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 1.00005], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(t$95$2 - 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 + x}\\
t_2 := \sqrt{y + 1}\\
t_3 := \left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_3 \leq 0:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_3 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(t\_2 - \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))) < 0.0Initial program 58.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6460.6
Simplified60.6%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f646.9
Simplified6.9%
if 0.0 < (+.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 96.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6468.1
Simplified68.1%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6444.0
Simplified44.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.4
Simplified27.4%
Taylor expanded in y around 0
lower-sqrt.f64N/A
lower-/.f6425.6
Simplified25.6%
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))) Initial program 96.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.9
Simplified35.9%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.8
Simplified23.8%
Final simplification23.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ (- (sqrt (+ y 1.0)) (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_2 0.0)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_2 1.5)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(+ (sqrt y) (- t_1 (+ (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 + x));
double t_2 = (sqrt((1.0 + z)) - sqrt(z)) + ((sqrt((y + 1.0)) - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_2 <= 0.0) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_2 <= 1.5) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else {
tmp = sqrt(y) + (t_1 - (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(1.0 + x)) t_2 = Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_2 <= 0.0) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_2 <= 1.5) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); else tmp = Float64(sqrt(y) + Float64(t_1 - 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[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.0], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 1.5], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[y], $MachinePrecision] + N[(t$95$1 - 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 + x}\\
t_2 := \left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(\sqrt{y + 1} - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_2 \leq 0:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_2 \leq 1.5:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{y} + \left(t\_1 - \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))) < 0.0Initial program 58.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6460.6
Simplified60.6%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f646.9
Simplified6.9%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.5Initial program 96.0%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6468.4
Simplified68.4%
Taylor expanded in y around inf
lower--.f64N/A
+-commutativeN/A
+-commutativeN/A
distribute-lft-outN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.4
Simplified43.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6427.3
Simplified27.3%
Taylor expanded in y around 0
lower-sqrt.f64N/A
lower-/.f6425.6
Simplified25.6%
if 1.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6437.1
Simplified37.1%
Taylor expanded in y around inf
lower-sqrt.f6436.5
Simplified36.5%
Taylor expanded in y around inf
lower-sqrt.f6411.8
Simplified11.8%
Final simplification17.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 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-5)
(+
(+ (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 (+ (sqrt x) t_2))) (- t_3 (sqrt z)))
t_4)
(+
t_4
(+ (+ t_1 (- t_2 (sqrt x))) (/ (- (+ 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-5) {
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_1 + (t_2 - sqrt(x))) + (((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-5) 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(t_1 + Float64(t_2 - sqrt(x))) + 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-5], 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[(t$95$1 + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $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^{-5}:\\
\;\;\;\;\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(t\_1 + \left(t\_2 - \sqrt{x}\right)\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)) < 5.00000000000000024e-5Initial program 89.1%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6489.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6489.7
Applied egg-rr89.7%
Applied egg-rr91.7%
Taylor expanded in y around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6491.9
Simplified91.9%
if 5.00000000000000024e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.8%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.8
Applied egg-rr96.8%
Final simplification94.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= y 9.5e+31) (+ (sqrt y) (- (sqrt (+ 1.0 x)) (+ (sqrt y) (sqrt x)))) (* 0.5 (sqrt (/ 1.0 x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 9.5e+31) {
tmp = sqrt(y) + (sqrt((1.0 + x)) - (sqrt(y) + sqrt(x)));
} else {
tmp = 0.5 * sqrt((1.0 / 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 (y <= 9.5d+31) then
tmp = sqrt(y) + (sqrt((1.0d0 + x)) - (sqrt(y) + sqrt(x)))
else
tmp = 0.5d0 * sqrt((1.0d0 / 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 (y <= 9.5e+31) {
tmp = Math.sqrt(y) + (Math.sqrt((1.0 + x)) - (Math.sqrt(y) + Math.sqrt(x)));
} else {
tmp = 0.5 * Math.sqrt((1.0 / x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if y <= 9.5e+31: tmp = math.sqrt(y) + (math.sqrt((1.0 + x)) - (math.sqrt(y) + math.sqrt(x))) else: tmp = 0.5 * math.sqrt((1.0 / x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 9.5e+31) tmp = Float64(sqrt(y) + Float64(sqrt(Float64(1.0 + x)) - Float64(sqrt(y) + sqrt(x)))); else tmp = Float64(0.5 * sqrt(Float64(1.0 / 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 (y <= 9.5e+31)
tmp = sqrt(y) + (sqrt((1.0 + x)) - (sqrt(y) + sqrt(x)));
else
tmp = 0.5 * sqrt((1.0 / 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[y, 9.5e+31], N[(N[Sqrt[y], $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 9.5 \cdot 10^{+31}:\\
\;\;\;\;\sqrt{y} + \left(\sqrt{1 + x} - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\end{array}
\end{array}
if y < 9.5000000000000008e31Initial program 95.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6434.1
Simplified34.1%
Taylor expanded in y around inf
lower-sqrt.f6433.7
Simplified33.7%
Taylor expanded in y around inf
lower-sqrt.f6412.4
Simplified12.4%
if 9.5000000000000008e31 < y Initial program 89.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6444.2
Simplified44.2%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f646.9
Simplified6.9%
Final simplification9.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 4.8e-80) (+ (sqrt (+ 1.0 x)) (- (sqrt (+ 1.0 z)) (sqrt x))) (* 0.5 (sqrt (/ 1.0 x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 4.8e-80) {
tmp = sqrt((1.0 + x)) + (sqrt((1.0 + z)) - sqrt(x));
} else {
tmp = 0.5 * sqrt((1.0 / 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 (x <= 4.8d-80) then
tmp = sqrt((1.0d0 + x)) + (sqrt((1.0d0 + z)) - sqrt(x))
else
tmp = 0.5d0 * sqrt((1.0d0 / 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 (x <= 4.8e-80) {
tmp = Math.sqrt((1.0 + x)) + (Math.sqrt((1.0 + z)) - Math.sqrt(x));
} else {
tmp = 0.5 * Math.sqrt((1.0 / x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if x <= 4.8e-80: tmp = math.sqrt((1.0 + x)) + (math.sqrt((1.0 + z)) - math.sqrt(x)) else: tmp = 0.5 * math.sqrt((1.0 / x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 4.8e-80) tmp = Float64(sqrt(Float64(1.0 + x)) + Float64(sqrt(Float64(1.0 + z)) - sqrt(x))); else tmp = Float64(0.5 * sqrt(Float64(1.0 / 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 (x <= 4.8e-80)
tmp = sqrt((1.0 + x)) + (sqrt((1.0 + z)) - sqrt(x));
else
tmp = 0.5 * sqrt((1.0 / 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[x, 4.8e-80], N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 4.8 \cdot 10^{-80}:\\
\;\;\;\;\sqrt{1 + x} + \left(\sqrt{1 + z} - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\end{array}
\end{array}
if x < 4.7999999999999998e-80Initial program 96.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.0
Simplified17.0%
Taylor expanded in y around inf
lower-sqrt.f6416.9
Simplified16.9%
Taylor expanded in y around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6420.1
Simplified20.1%
if 4.7999999999999998e-80 < x Initial program 90.8%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6473.0
Simplified73.0%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f647.8
Simplified7.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 1.75e-109) (* 0.5 (sqrt (/ 1.0 z))) (* 0.5 (sqrt (/ 1.0 x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 1.75e-109) {
tmp = 0.5 * sqrt((1.0 / z));
} else {
tmp = 0.5 * sqrt((1.0 / 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 (x <= 1.75d-109) then
tmp = 0.5d0 * sqrt((1.0d0 / z))
else
tmp = 0.5d0 * sqrt((1.0d0 / 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 (x <= 1.75e-109) {
tmp = 0.5 * Math.sqrt((1.0 / z));
} else {
tmp = 0.5 * Math.sqrt((1.0 / x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if x <= 1.75e-109: tmp = 0.5 * math.sqrt((1.0 / z)) else: tmp = 0.5 * math.sqrt((1.0 / x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 1.75e-109) tmp = Float64(0.5 * sqrt(Float64(1.0 / z))); else tmp = Float64(0.5 * sqrt(Float64(1.0 / 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 (x <= 1.75e-109)
tmp = 0.5 * sqrt((1.0 / z));
else
tmp = 0.5 * sqrt((1.0 / 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[x, 1.75e-109], N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 1.75 \cdot 10^{-109}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{z}}\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\end{array}
\end{array}
if x < 1.75e-109Initial program 96.4%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6459.0
Simplified59.0%
Taylor expanded in z around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f647.0
Simplified7.0%
if 1.75e-109 < x Initial program 91.3%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6469.2
Simplified69.2%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f647.8
Simplified7.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 1.75e-109) (sqrt z) (* 0.5 (sqrt (/ 1.0 x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 1.75e-109) {
tmp = sqrt(z);
} else {
tmp = 0.5 * sqrt((1.0 / 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 (x <= 1.75d-109) then
tmp = sqrt(z)
else
tmp = 0.5d0 * sqrt((1.0d0 / 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 (x <= 1.75e-109) {
tmp = Math.sqrt(z);
} else {
tmp = 0.5 * Math.sqrt((1.0 / x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if x <= 1.75e-109: tmp = math.sqrt(z) else: tmp = 0.5 * math.sqrt((1.0 / x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 1.75e-109) tmp = sqrt(z); else tmp = Float64(0.5 * sqrt(Float64(1.0 / 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 (x <= 1.75e-109)
tmp = sqrt(z);
else
tmp = 0.5 * sqrt((1.0 / 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[x, 1.75e-109], N[Sqrt[z], $MachinePrecision], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 1.75 \cdot 10^{-109}:\\
\;\;\;\;\sqrt{z}\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\end{array}
\end{array}
if x < 1.75e-109Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.9
Simplified16.9%
Taylor expanded in y around inf
lower-sqrt.f6417.5
Simplified17.5%
Taylor expanded in z around inf
lower-sqrt.f646.9
Simplified6.9%
if 1.75e-109 < x Initial program 91.3%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6469.2
Simplified69.2%
Taylor expanded in x around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f647.8
Simplified7.8%
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 92.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.0
Simplified20.0%
Taylor expanded in y around inf
lower-sqrt.f6420.1
Simplified20.1%
Taylor expanded in z around inf
lower-sqrt.f646.9
Simplified6.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (sqrt y))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt(y);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt(y)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(y);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(y)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return sqrt(y) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt(y);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[Sqrt[y], $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{y}
\end{array}
Initial program 92.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.0
Simplified20.0%
lift-sqrt.f64N/A
lift-sqrt.f64N/A
+-commutativeN/A
flip-+N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower--.f6420.2
Applied egg-rr20.2%
Taylor expanded in y around inf
lower-sqrt.f646.7
Simplified6.7%
(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 2024212
(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))))