
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 t)))
(t_3 (- t_2 (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (sqrt (+ 1.0 z)))
(t_6 (- t_5 (sqrt z)))
(t_7 (+ t_3 (+ t_6 (+ (- t_1 (sqrt x)) (- t_4 (sqrt y)))))))
(if (<= t_7 0.9999999999999996)
(+ (+ (/ 1.0 (+ (sqrt x) t_1)) t_6) t_3)
(if (<= t_7 3.5)
(+
t_1
(-
(+ t_4 (fma 0.5 (sqrt (/ 1.0 t)) (/ 1.0 (+ (sqrt z) t_5))))
(+ (sqrt x) (sqrt y))))
(-
(+ (+ t_2 2.0) (fma y 0.5 t_5))
(+ (+ (sqrt t) (sqrt x)) (+ (sqrt z) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + t));
double t_3 = t_2 - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = sqrt((1.0 + z));
double t_6 = t_5 - sqrt(z);
double t_7 = t_3 + (t_6 + ((t_1 - sqrt(x)) + (t_4 - sqrt(y))));
double tmp;
if (t_7 <= 0.9999999999999996) {
tmp = ((1.0 / (sqrt(x) + t_1)) + t_6) + t_3;
} else if (t_7 <= 3.5) {
tmp = t_1 + ((t_4 + fma(0.5, sqrt((1.0 / t)), (1.0 / (sqrt(z) + t_5)))) - (sqrt(x) + sqrt(y)));
} else {
tmp = ((t_2 + 2.0) + fma(y, 0.5, t_5)) - ((sqrt(t) + sqrt(x)) + (sqrt(z) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + t)) t_3 = Float64(t_2 - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = sqrt(Float64(1.0 + z)) t_6 = Float64(t_5 - sqrt(z)) t_7 = Float64(t_3 + Float64(t_6 + Float64(Float64(t_1 - sqrt(x)) + Float64(t_4 - sqrt(y))))) tmp = 0.0 if (t_7 <= 0.9999999999999996) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_1)) + t_6) + t_3); elseif (t_7 <= 3.5) tmp = Float64(t_1 + Float64(Float64(t_4 + fma(0.5, sqrt(Float64(1.0 / t)), Float64(1.0 / Float64(sqrt(z) + t_5)))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(Float64(t_2 + 2.0) + fma(y, 0.5, t_5)) - Float64(Float64(sqrt(t) + sqrt(x)) + Float64(sqrt(z) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$3 + N[(t$95$6 + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 0.9999999999999996], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$7, 3.5], N[(t$95$1 + N[(N[(t$95$4 + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$2 + 2.0), $MachinePrecision] + N[(y * 0.5 + t$95$5), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[t], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + t}\\
t_3 := t\_2 - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := \sqrt{1 + z}\\
t_6 := t\_5 - \sqrt{z}\\
t_7 := t\_3 + \left(t\_6 + \left(\left(t\_1 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_7 \leq 0.9999999999999996:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_1} + t\_6\right) + t\_3\\
\mathbf{elif}\;t\_7 \leq 3.5:\\
\;\;\;\;t\_1 + \left(\left(t\_4 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{t}}, \frac{1}{\sqrt{z} + t\_5}\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + 2\right) + \mathsf{fma}\left(y, 0.5, t\_5\right)\right) - \left(\left(\sqrt{t} + \sqrt{x}\right) + \left(\sqrt{z} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.99999999999999956Initial program 40.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6439.7
Applied rewrites39.7%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6460.3
Applied rewrites60.3%
if 0.99999999999999956 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 96.8%
lift--.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-+.f6497.1
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites27.5%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.8%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
Applied rewrites99.8%
Taylor expanded in x around 0
Applied rewrites100.0%
Final simplification32.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (+ (sqrt z) (sqrt y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_5 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_5 2.0001)
(+ t_4 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (+ (sqrt x) (sqrt y))))
(if (<= t_5 2.9999999999999996)
(+ t_1 (+ t_2 (- (- 1.0 (sqrt x)) t_3)))
(+
1.0
(+
(+ 1.0 (fma y 0.5 1.0))
(- (sqrt (+ 1.0 t)) (+ (sqrt x) (+ (sqrt t) 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));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt(z) + sqrt(y);
double t_4 = sqrt((x + 1.0));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_5 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_5 <= 2.0001) {
tmp = t_4 + (fma(0.5, sqrt((1.0 / z)), t_1) - (sqrt(x) + sqrt(y)));
} else if (t_5 <= 2.9999999999999996) {
tmp = t_1 + (t_2 + ((1.0 - sqrt(x)) - t_3));
} else {
tmp = 1.0 + ((1.0 + fma(y, 0.5, 1.0)) + (sqrt((1.0 + t)) - (sqrt(x) + (sqrt(t) + t_3))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(z) + sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_5 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_5 <= 2.0001) tmp = Float64(t_4 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - Float64(sqrt(x) + sqrt(y)))); elseif (t_5 <= 2.9999999999999996) tmp = Float64(t_1 + Float64(t_2 + Float64(Float64(1.0 - sqrt(x)) - t_3))); else tmp = Float64(1.0 + Float64(Float64(1.0 + fma(y, 0.5, 1.0)) + Float64(sqrt(Float64(1.0 + t)) - Float64(sqrt(x) + Float64(sqrt(t) + 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(t$95$4 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.9999999999999996], N[(t$95$1 + N[(t$95$2 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(1.0 + N[(y * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{z} + \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_5 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;t\_4 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{elif}\;t\_5 \leq 2.9999999999999996:\\
\;\;\;\;t\_1 + \left(t\_2 + \left(\left(1 - \sqrt{x}\right) - t\_3\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(1 + \mathsf{fma}\left(y, 0.5, 1\right)\right) + \left(\sqrt{1 + t} - \left(\sqrt{x} + \left(\sqrt{t} + t\_3\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2.00010000000000021Initial 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.f6416.2
Applied rewrites16.2%
Taylor expanded in z around inf
Applied rewrites21.8%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.99999999999999956Initial 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.f6485.6
Applied rewrites85.6%
Applied rewrites86.5%
Taylor expanded in x around 0
Applied rewrites79.9%
if 2.99999999999999956 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.5%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
Applied rewrites97.5%
Taylor expanded in x around 0
Applied rewrites97.5%
Taylor expanded in z around 0
Applied rewrites97.5%
Final simplification29.4%
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)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (+ (sqrt z) (sqrt y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_5 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_5 2.0)
(+ t_4 (- t_1 (+ (sqrt x) (sqrt y))))
(if (<= t_5 2.9999999999999996)
(+ t_1 (+ t_2 (- (- 1.0 (sqrt x)) t_3)))
(+
1.0
(+
(+ 1.0 (fma y 0.5 1.0))
(- (sqrt (+ 1.0 t)) (+ (sqrt x) (+ (sqrt t) 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));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt(z) + sqrt(y);
double t_4 = sqrt((x + 1.0));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_5 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_5 <= 2.0) {
tmp = t_4 + (t_1 - (sqrt(x) + sqrt(y)));
} else if (t_5 <= 2.9999999999999996) {
tmp = t_1 + (t_2 + ((1.0 - sqrt(x)) - t_3));
} else {
tmp = 1.0 + ((1.0 + fma(y, 0.5, 1.0)) + (sqrt((1.0 + t)) - (sqrt(x) + (sqrt(t) + t_3))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(z) + sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_5 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_5 <= 2.0) tmp = Float64(t_4 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); elseif (t_5 <= 2.9999999999999996) tmp = Float64(t_1 + Float64(t_2 + Float64(Float64(1.0 - sqrt(x)) - t_3))); else tmp = Float64(1.0 + Float64(Float64(1.0 + fma(y, 0.5, 1.0)) + Float64(sqrt(Float64(1.0 + t)) - Float64(sqrt(x) + Float64(sqrt(t) + 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(t$95$4 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.9999999999999996], N[(t$95$1 + N[(t$95$2 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(1.0 + N[(y * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{z} + \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_5 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;t\_4 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{elif}\;t\_5 \leq 2.9999999999999996:\\
\;\;\;\;t\_1 + \left(t\_2 + \left(\left(1 - \sqrt{x}\right) - t\_3\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(1 + \mathsf{fma}\left(y, 0.5, 1\right)\right) + \left(\sqrt{1 + t} - \left(\sqrt{x} + \left(\sqrt{t} + t\_3\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2Initial program 97.2%
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.f6415.8
Applied rewrites15.8%
Taylor expanded in z around inf
Applied rewrites22.8%
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))) < 2.99999999999999956Initial program 90.2%
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.f6461.4
Applied rewrites61.4%
Applied rewrites61.9%
Taylor expanded in x around 0
Applied rewrites58.3%
if 2.99999999999999956 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.5%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
Applied rewrites97.5%
Taylor expanded in x around 0
Applied rewrites97.5%
Taylor expanded in z around 0
Applied rewrites97.5%
Final simplification30.4%
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)) (sqrt z)))
(t_2 (sqrt (+ 1.0 t)))
(t_3 (- t_2 (sqrt t)))
(t_4 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))))
(t_5 (+ t_1 t_4)))
(if (<= t_5 0.0)
(+ t_3 (+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))))))
(if (<= t_5 2.0001)
(+ t_3 (+ t_4 (* 0.5 (sqrt (/ 1.0 z)))))
(+
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_2))
(+ t_1 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + t));
double t_3 = t_2 - sqrt(t);
double t_4 = (sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y));
double t_5 = t_1 + t_4;
double tmp;
if (t_5 <= 0.0) {
tmp = t_3 + (t_1 + (0.5 * (sqrt((1.0 / x)) + sqrt((1.0 / y)))));
} else if (t_5 <= 2.0001) {
tmp = t_3 + (t_4 + (0.5 * sqrt((1.0 / z))));
} else {
tmp = (((1.0 + t) - t) / (sqrt(t) + t_2)) + (t_1 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + t))
t_3 = t_2 - sqrt(t)
t_4 = (sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))
t_5 = t_1 + t_4
if (t_5 <= 0.0d0) then
tmp = t_3 + (t_1 + (0.5d0 * (sqrt((1.0d0 / x)) + sqrt((1.0d0 / y)))))
else if (t_5 <= 2.0001d0) then
tmp = t_3 + (t_4 + (0.5d0 * sqrt((1.0d0 / z))))
else
tmp = (((1.0d0 + t) - t) / (sqrt(t) + t_2)) + (t_1 + ((1.0d0 - sqrt(x)) + (1.0d0 - sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + t));
double t_3 = t_2 - Math.sqrt(t);
double t_4 = (Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y));
double t_5 = t_1 + t_4;
double tmp;
if (t_5 <= 0.0) {
tmp = t_3 + (t_1 + (0.5 * (Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / y)))));
} else if (t_5 <= 2.0001) {
tmp = t_3 + (t_4 + (0.5 * Math.sqrt((1.0 / z))));
} else {
tmp = (((1.0 + t) - t) / (Math.sqrt(t) + t_2)) + (t_1 + ((1.0 - Math.sqrt(x)) + (1.0 - Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + t)) t_3 = t_2 - math.sqrt(t) t_4 = (math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y)) t_5 = t_1 + t_4 tmp = 0 if t_5 <= 0.0: tmp = t_3 + (t_1 + (0.5 * (math.sqrt((1.0 / x)) + math.sqrt((1.0 / y))))) elif t_5 <= 2.0001: tmp = t_3 + (t_4 + (0.5 * math.sqrt((1.0 / z)))) else: tmp = (((1.0 + t) - t) / (math.sqrt(t) + t_2)) + (t_1 + ((1.0 - math.sqrt(x)) + (1.0 - math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + t)) t_3 = Float64(t_2 - sqrt(t)) t_4 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) t_5 = Float64(t_1 + t_4) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(t_3 + Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y)))))); elseif (t_5 <= 2.0001) tmp = Float64(t_3 + Float64(t_4 + Float64(0.5 * sqrt(Float64(1.0 / z))))); else tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_2)) + Float64(t_1 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + t));
t_3 = t_2 - sqrt(t);
t_4 = (sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y));
t_5 = t_1 + t_4;
tmp = 0.0;
if (t_5 <= 0.0)
tmp = t_3 + (t_1 + (0.5 * (sqrt((1.0 / x)) + sqrt((1.0 / y)))));
elseif (t_5 <= 2.0001)
tmp = t_3 + (t_4 + (0.5 * sqrt((1.0 / z))));
else
tmp = (((1.0 + t) - t) / (sqrt(t) + t_2)) + (t_1 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = 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]}, Block[{t$95$5 = N[(t$95$1 + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(t$95$3 + N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(t$95$3 + N[(t$95$4 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + t}\\
t_3 := t\_2 - \sqrt{t}\\
t_4 := \left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\\
t_5 := t\_1 + t\_4\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;t\_3 + \left(t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right)\right)\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;t\_3 + \left(t\_4 + 0.5 \cdot \sqrt{\frac{1}{z}}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{\sqrt{t} + t\_2} + \left(t\_1 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 57.2%
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.f6471.9
Applied rewrites71.9%
Taylor expanded in y around inf
Applied rewrites81.4%
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))) < 2.00010000000000021Initial program 96.7%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6452.3
Applied rewrites52.3%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.5
Applied rewrites96.5%
lift--.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-+.f6497.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.7
Applied rewrites97.7%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6490.6
Applied rewrites90.6%
Final simplification58.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+
(- t_2 (sqrt z))
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_1 (sqrt y)))))))
(if (<= t_3 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_3 2.0)
(+ (- t_1 (+ (sqrt x) (sqrt y))) (fma x 0.5 1.0))
(+ 1.0 (+ (+ t_2 (fma y 0.5 1.0)) (- (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = (sqrt((1.0 + t)) - sqrt(t)) + ((t_2 - sqrt(z)) + ((sqrt((x + 1.0)) - sqrt(x)) + (t_1 - sqrt(y))));
double tmp;
if (t_3 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_3 <= 2.0) {
tmp = (t_1 - (sqrt(x) + sqrt(y))) + fma(x, 0.5, 1.0);
} else {
tmp = 1.0 + ((t_2 + fma(y, 0.5, 1.0)) + -sqrt(z));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_1 - sqrt(y))))) tmp = 0.0 if (t_3 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_3 <= 2.0) tmp = Float64(Float64(t_1 - Float64(sqrt(x) + sqrt(y))) + fma(x, 0.5, 1.0)); else tmp = Float64(1.0 + Float64(Float64(t_2 + fma(y, 0.5, 1.0)) + Float64(-sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 2.0], N[(N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(x * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 + N[(y * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[z], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_2 - \sqrt{z}\right) + \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_3 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_3 \leq 2:\\
\;\;\;\;\left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right) + \mathsf{fma}\left(x, 0.5, 1\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 + \mathsf{fma}\left(y, 0.5, 1\right)\right) + \left(-\sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 5.0000000000000001e-4Initial program 10.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.7
Applied rewrites4.7%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites34.4%
if 5.0000000000000001e-4 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.5%
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.f6416.7
Applied rewrites16.7%
Taylor expanded in z around inf
Applied rewrites24.1%
Taylor expanded in x around 0
Applied rewrites23.9%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 96.2%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
Applied rewrites39.9%
Taylor expanded in x around 0
Applied rewrites35.7%
Taylor expanded in z around inf
Applied rewrites43.9%
Final simplification30.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ 1.0 t)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ t_3 (+ (- t_5 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_5)) t_3) (- t_4 (sqrt t)))
(if (<= t_6 2.05)
(-
(+ (+ 1.0 t_1) (fma x (fma x -0.125 0.5) (/ 1.0 (+ (sqrt z) t_2))))
(+ (sqrt x) (sqrt y)))
(+
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_4))
(+ t_3 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((1.0 + t));
double t_5 = sqrt((x + 1.0));
double t_6 = t_3 + ((t_5 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_5)) + t_3) + (t_4 - sqrt(t));
} else if (t_6 <= 2.05) {
tmp = ((1.0 + t_1) + fma(x, fma(x, -0.125, 0.5), (1.0 / (sqrt(z) + t_2)))) - (sqrt(x) + sqrt(y));
} else {
tmp = (((1.0 + t) - t) / (sqrt(t) + t_4)) + (t_3 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(1.0 + t)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(t_3 + Float64(Float64(t_5 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_5)) + t_3) + Float64(t_4 - sqrt(t))); elseif (t_6 <= 2.05) tmp = Float64(Float64(Float64(1.0 + t_1) + fma(x, fma(x, -0.125, 0.5), Float64(1.0 / Float64(sqrt(z) + t_2)))) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_4)) + Float64(t_3 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 + N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.05], N[(N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(x * N[(x * -0.125 + 0.5), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{1 + t}\\
t_5 := \sqrt{x + 1}\\
t_6 := t\_3 + \left(\left(t\_5 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_5} + t\_3\right) + \left(t\_4 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_6 \leq 2.05:\\
\;\;\;\;\left(\left(1 + t\_1\right) + \mathsf{fma}\left(x, \mathsf{fma}\left(x, -0.125, 0.5\right), \frac{1}{\sqrt{z} + t\_2}\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{\sqrt{t} + t\_4} + \left(t\_3 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 90.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6490.6
Applied rewrites90.6%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6467.7
Applied rewrites67.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0499999999999998Initial program 96.1%
lift--.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-+.f6496.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.7
Applied rewrites96.7%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6429.6
Applied rewrites29.6%
Taylor expanded in x around 0
Applied rewrites23.1%
if 2.0499999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.4
Applied rewrites96.4%
lift--.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-+.f6497.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.6
Applied rewrites97.6%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6493.9
Applied rewrites93.9%
Final simplification52.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+
(- t_2 (sqrt z))
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_1 (sqrt y)))))))
(if (<= t_3 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_3 2.0)
(+ 1.0 (- t_1 (+ (sqrt x) (sqrt y))))
(+ 1.0 (+ (+ t_2 (fma y 0.5 1.0)) (- (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = (sqrt((1.0 + t)) - sqrt(t)) + ((t_2 - sqrt(z)) + ((sqrt((x + 1.0)) - sqrt(x)) + (t_1 - sqrt(y))));
double tmp;
if (t_3 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_3 <= 2.0) {
tmp = 1.0 + (t_1 - (sqrt(x) + sqrt(y)));
} else {
tmp = 1.0 + ((t_2 + fma(y, 0.5, 1.0)) + -sqrt(z));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_1 - sqrt(y))))) tmp = 0.0 if (t_3 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_3 <= 2.0) tmp = Float64(1.0 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(1.0 + Float64(Float64(t_2 + fma(y, 0.5, 1.0)) + Float64(-sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 2.0], N[(1.0 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 + N[(y * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[z], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_2 - \sqrt{z}\right) + \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_3 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_3 \leq 2:\\
\;\;\;\;1 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 + \mathsf{fma}\left(y, 0.5, 1\right)\right) + \left(-\sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 5.0000000000000001e-4Initial program 10.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.7
Applied rewrites4.7%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites34.4%
if 5.0000000000000001e-4 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.5%
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.f6416.7
Applied rewrites16.7%
Taylor expanded in z around inf
Applied rewrites24.1%
Taylor expanded in x around 0
Applied rewrites27.5%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 96.2%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
Applied rewrites39.9%
Taylor expanded in x around 0
Applied rewrites35.7%
Taylor expanded in z around inf
Applied rewrites43.9%
Final simplification33.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ t_3 (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_5 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_5 2.05)
(+ t_4 (- (+ t_1 (/ 1.0 (+ (sqrt z) t_2))) (+ (sqrt x) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_3 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = t_3 + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_5 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_5 <= 2.05) {
tmp = t_4 + ((t_1 + (1.0 / (sqrt(z) + t_2))) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_3 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((1.0d0 + z))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((x + 1.0d0))
t_5 = t_3 + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)))
if (t_5 <= 0.0005d0) then
tmp = 0.5d0 * sqrt((1.0d0 / x))
else if (t_5 <= 2.05d0) then
tmp = t_4 + ((t_1 + (1.0d0 / (sqrt(z) + t_2))) - (sqrt(x) + sqrt(y)))
else
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + (t_3 + ((1.0d0 - sqrt(x)) + (1.0d0 - sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((x + 1.0));
double t_5 = t_3 + ((t_4 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)));
double tmp;
if (t_5 <= 0.0005) {
tmp = 0.5 * Math.sqrt((1.0 / x));
} else if (t_5 <= 2.05) {
tmp = t_4 + ((t_1 + (1.0 / (Math.sqrt(z) + t_2))) - (Math.sqrt(x) + Math.sqrt(y)));
} else {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + (t_3 + ((1.0 - Math.sqrt(x)) + (1.0 - Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((1.0 + z)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((x + 1.0)) t_5 = t_3 + ((t_4 - math.sqrt(x)) + (t_1 - math.sqrt(y))) tmp = 0 if t_5 <= 0.0005: tmp = 0.5 * math.sqrt((1.0 / x)) elif t_5 <= 2.05: tmp = t_4 + ((t_1 + (1.0 / (math.sqrt(z) + t_2))) - (math.sqrt(x) + math.sqrt(y))) else: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + (t_3 + ((1.0 - math.sqrt(x)) + (1.0 - math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(t_3 + Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_5 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_5 <= 2.05) tmp = Float64(t_4 + Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_2))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_3 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((1.0 + z));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((x + 1.0));
t_5 = t_3 + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
tmp = 0.0;
if (t_5 <= 0.0005)
tmp = 0.5 * sqrt((1.0 / x));
elseif (t_5 <= 2.05)
tmp = t_4 + ((t_1 + (1.0 / (sqrt(z) + t_2))) - (sqrt(x) + sqrt(y)));
else
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_3 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.05], N[(t$95$4 + N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := t\_3 + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_5 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_5 \leq 2.05:\\
\;\;\;\;t\_4 + \left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_2}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_3 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2.0499999999999998Initial program 96.8%
lift--.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-+.f6497.1
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6424.7
Applied rewrites24.7%
if 2.0499999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.4
Applied rewrites96.4%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6492.8
Applied rewrites92.8%
Final simplification31.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ t_3 (+ (- t_5 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_5)) t_3) t_4)
(if (<= t_6 2.05)
(-
(+ (+ 1.0 t_1) (fma x (fma x -0.125 0.5) (/ 1.0 (+ (sqrt z) t_2))))
(+ (sqrt x) (sqrt y)))
(+ t_4 (+ t_3 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double t_5 = sqrt((x + 1.0));
double t_6 = t_3 + ((t_5 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_5)) + t_3) + t_4;
} else if (t_6 <= 2.05) {
tmp = ((1.0 + t_1) + fma(x, fma(x, -0.125, 0.5), (1.0 / (sqrt(z) + t_2)))) - (sqrt(x) + sqrt(y));
} else {
tmp = t_4 + (t_3 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(t_3 + Float64(Float64(t_5 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_5)) + t_3) + t_4); elseif (t_6 <= 2.05) tmp = Float64(Float64(Float64(1.0 + t_1) + fma(x, fma(x, -0.125, 0.5), Float64(1.0 / Float64(sqrt(z) + t_2)))) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(t_4 + Float64(t_3 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 + N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.05], N[(N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(x * N[(x * -0.125 + 0.5), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$4 + N[(t$95$3 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
t_5 := \sqrt{x + 1}\\
t_6 := t\_3 + \left(\left(t\_5 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_5} + t\_3\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.05:\\
\;\;\;\;\left(\left(1 + t\_1\right) + \mathsf{fma}\left(x, \mathsf{fma}\left(x, -0.125, 0.5\right), \frac{1}{\sqrt{z} + t\_2}\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(t\_3 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 90.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6490.6
Applied rewrites90.6%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6467.7
Applied rewrites67.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0499999999999998Initial program 96.1%
lift--.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-+.f6496.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.7
Applied rewrites96.7%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6429.6
Applied rewrites29.6%
Taylor expanded in x around 0
Applied rewrites23.1%
if 2.0499999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.4
Applied rewrites96.4%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6492.8
Applied rewrites92.8%
Final simplification51.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ t_2 (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_4 2.0001)
(+ t_3 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (+ (sqrt x) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_2 (+ (- 1.0 (sqrt x)) (- (fma y 0.5 1.0) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_4 <= 2.0001) {
tmp = t_3 + (fma(0.5, sqrt((1.0 / z)), t_1) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + ((1.0 - sqrt(x)) + (fma(y, 0.5, 1.0) - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_4 <= 2.0001) tmp = Float64(t_3 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_2 + Float64(Float64(1.0 - sqrt(x)) + Float64(fma(y, 0.5, 1.0) - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(y * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_2 + \left(\left(1 - \sqrt{x}\right) + \left(\mathsf{fma}\left(y, 0.5, 1\right) - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2.00010000000000021Initial 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.f6416.2
Applied rewrites16.2%
Taylor expanded in z around inf
Applied rewrites21.8%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.5
Applied rewrites96.5%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6490.6
Applied rewrites90.6%
Final simplification29.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ t_2 (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_4 2.0001)
(+ t_3 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (+ (sqrt x) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_2 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_4 <= 2.0001) {
tmp = t_3 + (fma(0.5, sqrt((1.0 / z)), t_1) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_4 <= 2.0001) tmp = Float64(t_3 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_2 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_2 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2.00010000000000021Initial 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.f6416.2
Applied rewrites16.2%
Taylor expanded in z around inf
Applied rewrites21.8%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.5
Applied rewrites96.5%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6489.5
Applied rewrites89.5%
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 (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3
(+
(- t_2 (sqrt z))
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_3 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_3 2.9999999999999996)
(+ (- (+ t_1 (/ 1.0 (+ (sqrt z) t_2))) (+ (sqrt x) (sqrt y))) 1.0)
(+
1.0
(+
(+ 1.0 (fma y 0.5 1.0))
(-
(sqrt (+ 1.0 t))
(+ (sqrt x) (+ (sqrt t) (+ (sqrt z) (sqrt y)))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = (t_2 - sqrt(z)) + ((sqrt((x + 1.0)) - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_3 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_3 <= 2.9999999999999996) {
tmp = ((t_1 + (1.0 / (sqrt(z) + t_2))) - (sqrt(x) + sqrt(y))) + 1.0;
} else {
tmp = 1.0 + ((1.0 + fma(y, 0.5, 1.0)) + (sqrt((1.0 + t)) - (sqrt(x) + (sqrt(t) + (sqrt(z) + sqrt(y))))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_3 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_3 <= 2.9999999999999996) tmp = Float64(Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_2))) - Float64(sqrt(x) + sqrt(y))) + 1.0); else tmp = Float64(1.0 + Float64(Float64(1.0 + fma(y, 0.5, 1.0)) + Float64(sqrt(Float64(1.0 + t)) - Float64(sqrt(x) + Float64(sqrt(t) + Float64(sqrt(z) + sqrt(y))))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 2.9999999999999996], N[(N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(1.0 + N[(N[(1.0 + N[(y * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[t], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \left(t\_2 - \sqrt{z}\right) + \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_3 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_3 \leq 2.9999999999999996:\\
\;\;\;\;\left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_2}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(1 + \mathsf{fma}\left(y, 0.5, 1\right)\right) + \left(\sqrt{1 + t} - \left(\sqrt{x} + \left(\sqrt{t} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2.99999999999999956Initial program 96.8%
lift--.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-+.f6497.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.2
Applied rewrites97.2%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.1
Applied rewrites26.1%
Taylor expanded in x around 0
Applied rewrites25.4%
if 2.99999999999999956 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.5%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
Applied rewrites97.5%
Taylor expanded in x around 0
Applied rewrites97.5%
Taylor expanded in z around 0
Applied rewrites97.5%
Final simplification31.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_4 2.0)
(+ t_3 (- t_1 (+ (sqrt x) (sqrt y))))
(+ t_1 (+ t_2 (- (- 1.0 (sqrt x)) (+ (sqrt z) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_4 <= 2.0) {
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)));
} else {
tmp = t_1 + (t_2 + ((1.0 - sqrt(x)) - (sqrt(z) + sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((x + 1.0d0))
t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))
if (t_4 <= 0.0005d0) then
tmp = 0.5d0 * sqrt((1.0d0 / x))
else if (t_4 <= 2.0d0) then
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)))
else
tmp = t_1 + (t_2 + ((1.0d0 - sqrt(x)) - (sqrt(z) + sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((x + 1.0));
double t_4 = (t_2 - Math.sqrt(z)) + ((t_3 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)));
double tmp;
if (t_4 <= 0.0005) {
tmp = 0.5 * Math.sqrt((1.0 / x));
} else if (t_4 <= 2.0) {
tmp = t_3 + (t_1 - (Math.sqrt(x) + Math.sqrt(y)));
} else {
tmp = t_1 + (t_2 + ((1.0 - Math.sqrt(x)) - (Math.sqrt(z) + Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((x + 1.0)) t_4 = (t_2 - math.sqrt(z)) + ((t_3 - math.sqrt(x)) + (t_1 - math.sqrt(y))) tmp = 0 if t_4 <= 0.0005: tmp = 0.5 * math.sqrt((1.0 / x)) elif t_4 <= 2.0: tmp = t_3 + (t_1 - (math.sqrt(x) + math.sqrt(y))) else: tmp = t_1 + (t_2 + ((1.0 - math.sqrt(x)) - (math.sqrt(z) + math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_4 <= 2.0) tmp = Float64(t_3 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(t_1 + Float64(t_2 + Float64(Float64(1.0 - sqrt(x)) - Float64(sqrt(z) + sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((x + 1.0));
t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
tmp = 0.0;
if (t_4 <= 0.0005)
tmp = 0.5 * sqrt((1.0 / x));
elseif (t_4 <= 2.0)
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)));
else
tmp = t_1 + (t_2 + ((1.0 - sqrt(x)) - (sqrt(z) + sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(t$95$3 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(t$95$2 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;t\_3 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(t\_2 + \left(\left(1 - \sqrt{x}\right) - \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2Initial program 97.2%
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.f6415.8
Applied rewrites15.8%
Taylor expanded in z around inf
Applied rewrites22.8%
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 95.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6463.4
Applied rewrites63.4%
Applied rewrites63.5%
Taylor expanded in x around 0
Applied rewrites62.3%
Final simplification27.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_4 2.0)
(+ t_3 (- t_1 (+ (sqrt x) (sqrt y))))
(+ (+ t_2 1.0) (- t_3 (+ (sqrt x) (+ (sqrt z) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_4 <= 2.0) {
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_2 + 1.0) + (t_3 - (sqrt(x) + (sqrt(z) + sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((x + 1.0d0))
t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))
if (t_4 <= 0.0005d0) then
tmp = 0.5d0 * sqrt((1.0d0 / x))
else if (t_4 <= 2.0d0) then
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)))
else
tmp = (t_2 + 1.0d0) + (t_3 - (sqrt(x) + (sqrt(z) + sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((x + 1.0));
double t_4 = (t_2 - Math.sqrt(z)) + ((t_3 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)));
double tmp;
if (t_4 <= 0.0005) {
tmp = 0.5 * Math.sqrt((1.0 / x));
} else if (t_4 <= 2.0) {
tmp = t_3 + (t_1 - (Math.sqrt(x) + Math.sqrt(y)));
} else {
tmp = (t_2 + 1.0) + (t_3 - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((x + 1.0)) t_4 = (t_2 - math.sqrt(z)) + ((t_3 - math.sqrt(x)) + (t_1 - math.sqrt(y))) tmp = 0 if t_4 <= 0.0005: tmp = 0.5 * math.sqrt((1.0 / x)) elif t_4 <= 2.0: tmp = t_3 + (t_1 - (math.sqrt(x) + math.sqrt(y))) else: tmp = (t_2 + 1.0) + (t_3 - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_4 <= 2.0) tmp = Float64(t_3 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_2 + 1.0) + Float64(t_3 - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((x + 1.0));
t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
tmp = 0.0;
if (t_4 <= 0.0005)
tmp = 0.5 * sqrt((1.0 / x));
elseif (t_4 <= 2.0)
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)));
else
tmp = (t_2 + 1.0) + (t_3 - (sqrt(x) + (sqrt(z) + sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(t$95$3 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + 1.0), $MachinePrecision] + N[(t$95$3 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;t\_3 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + 1\right) + \left(t\_3 - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2Initial program 97.2%
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.f6415.8
Applied rewrites15.8%
Taylor expanded in z around inf
Applied rewrites22.8%
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 95.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6463.4
Applied rewrites63.4%
Taylor expanded in y around 0
Applied rewrites55.9%
Final simplification26.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_4 2.0)
(+ t_3 (- t_1 (+ (sqrt x) (sqrt y))))
(+
1.0
(+ (+ t_2 (fma y 0.5 1.0)) (- (- (sqrt x)) (+ (sqrt z) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_4 <= 2.0) {
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)));
} else {
tmp = 1.0 + ((t_2 + fma(y, 0.5, 1.0)) + (-sqrt(x) - (sqrt(z) + sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_4 <= 2.0) tmp = Float64(t_3 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(1.0 + Float64(Float64(t_2 + fma(y, 0.5, 1.0)) + Float64(Float64(-sqrt(x)) - Float64(sqrt(z) + sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(t$95$3 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 + N[(y * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] + N[((-N[Sqrt[x], $MachinePrecision]) - N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;t\_3 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 + \mathsf{fma}\left(y, 0.5, 1\right)\right) + \left(\left(-\sqrt{x}\right) - \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2Initial program 97.2%
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.f6415.8
Applied rewrites15.8%
Taylor expanded in z around inf
Applied rewrites22.8%
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 95.1%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
Applied rewrites78.8%
Taylor expanded in x around 0
Applied rewrites78.8%
Taylor expanded in t around inf
Applied rewrites56.4%
Final simplification26.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 t)))
(t_3 (- t_2 (sqrt t)))
(t_4 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_5 (- (sqrt (+ 1.0 z)) (sqrt z))))
(if (<= (+ t_3 (+ t_5 (+ (- t_1 (sqrt x)) t_4))) 0.9)
(+ (+ (/ 1.0 (+ (sqrt x) t_1)) t_5) t_3)
(+
(+ t_5 (+ t_4 (- 1.0 (sqrt x))))
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_2))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + t));
double t_3 = t_2 - sqrt(t);
double t_4 = sqrt((y + 1.0)) - sqrt(y);
double t_5 = sqrt((1.0 + z)) - sqrt(z);
double tmp;
if ((t_3 + (t_5 + ((t_1 - sqrt(x)) + t_4))) <= 0.9) {
tmp = ((1.0 / (sqrt(x) + t_1)) + t_5) + t_3;
} else {
tmp = (t_5 + (t_4 + (1.0 - sqrt(x)))) + (((1.0 + t) - t) / (sqrt(t) + t_2));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + t))
t_3 = t_2 - sqrt(t)
t_4 = sqrt((y + 1.0d0)) - sqrt(y)
t_5 = sqrt((1.0d0 + z)) - sqrt(z)
if ((t_3 + (t_5 + ((t_1 - sqrt(x)) + t_4))) <= 0.9d0) then
tmp = ((1.0d0 / (sqrt(x) + t_1)) + t_5) + t_3
else
tmp = (t_5 + (t_4 + (1.0d0 - sqrt(x)))) + (((1.0d0 + t) - t) / (sqrt(t) + t_2))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt((1.0 + t));
double t_3 = t_2 - Math.sqrt(t);
double t_4 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_5 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double tmp;
if ((t_3 + (t_5 + ((t_1 - Math.sqrt(x)) + t_4))) <= 0.9) {
tmp = ((1.0 / (Math.sqrt(x) + t_1)) + t_5) + t_3;
} else {
tmp = (t_5 + (t_4 + (1.0 - Math.sqrt(x)))) + (((1.0 + t) - t) / (Math.sqrt(t) + t_2));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt((1.0 + t)) t_3 = t_2 - math.sqrt(t) t_4 = math.sqrt((y + 1.0)) - math.sqrt(y) t_5 = math.sqrt((1.0 + z)) - math.sqrt(z) tmp = 0 if (t_3 + (t_5 + ((t_1 - math.sqrt(x)) + t_4))) <= 0.9: tmp = ((1.0 / (math.sqrt(x) + t_1)) + t_5) + t_3 else: tmp = (t_5 + (t_4 + (1.0 - math.sqrt(x)))) + (((1.0 + t) - t) / (math.sqrt(t) + t_2)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + t)) t_3 = Float64(t_2 - sqrt(t)) t_4 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_5 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) tmp = 0.0 if (Float64(t_3 + Float64(t_5 + Float64(Float64(t_1 - sqrt(x)) + t_4))) <= 0.9) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_1)) + t_5) + t_3); else tmp = Float64(Float64(t_5 + Float64(t_4 + Float64(1.0 - sqrt(x)))) + Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_2))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = sqrt((1.0 + t));
t_3 = t_2 - sqrt(t);
t_4 = sqrt((y + 1.0)) - sqrt(y);
t_5 = sqrt((1.0 + z)) - sqrt(z);
tmp = 0.0;
if ((t_3 + (t_5 + ((t_1 - sqrt(x)) + t_4))) <= 0.9)
tmp = ((1.0 / (sqrt(x) + t_1)) + t_5) + t_3;
else
tmp = (t_5 + (t_4 + (1.0 - sqrt(x)))) + (((1.0 + t) - t) / (sqrt(t) + t_2));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$3 + N[(t$95$5 + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.9], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(t$95$5 + N[(t$95$4 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + t}\\
t_3 := t\_2 - \sqrt{t}\\
t_4 := \sqrt{y + 1} - \sqrt{y}\\
t_5 := \sqrt{1 + z} - \sqrt{z}\\
\mathbf{if}\;t\_3 + \left(t\_5 + \left(\left(t\_1 - \sqrt{x}\right) + t\_4\right)\right) \leq 0.9:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_1} + t\_5\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(t\_5 + \left(t\_4 + \left(1 - \sqrt{x}\right)\right)\right) + \frac{\left(1 + t\right) - t}{\sqrt{t} + t\_2}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.900000000000000022Initial program 18.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6418.1
Applied rewrites18.1%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6446.2
Applied rewrites46.2%
if 0.900000000000000022 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6449.2
Applied rewrites49.2%
lift--.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-+.f6449.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6449.6
Applied rewrites49.6%
Final simplification49.4%
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)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 0.0005)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_4 2.0)
(+ t_3 (- t_1 (+ (sqrt x) (sqrt y))))
(+ 1.0 (+ (+ t_2 (fma y 0.5 1.0)) (- (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_4 <= 2.0) {
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)));
} else {
tmp = 1.0 + ((t_2 + fma(y, 0.5, 1.0)) + -sqrt(z));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_4 <= 2.0) tmp = Float64(t_3 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(1.0 + Float64(Float64(t_2 + fma(y, 0.5, 1.0)) + Float64(-sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(t$95$3 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 + N[(y * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[z], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;t\_3 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 + \mathsf{fma}\left(y, 0.5, 1\right)\right) + \left(-\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))) < 5.0000000000000001e-4Initial program 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
if 5.0000000000000001e-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))) < 2Initial program 97.2%
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.f6415.8
Applied rewrites15.8%
Taylor expanded in z around inf
Applied rewrites22.8%
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 95.1%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
Applied rewrites78.8%
Taylor expanded in x around 0
Applied rewrites78.8%
Taylor expanded in z around inf
Applied rewrites54.6%
Final simplification26.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_3 (+ (- t_1 (sqrt z)) (+ t_2 (- (sqrt (+ y 1.0)) (sqrt y))))))
(if (<= t_3 0.0)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_3 1.998)
t_2
(+ 1.0 (+ (+ t_1 (fma y 0.5 1.0)) (- (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((x + 1.0)) - sqrt(x);
double t_3 = (t_1 - sqrt(z)) + (t_2 + (sqrt((y + 1.0)) - sqrt(y)));
double tmp;
if (t_3 <= 0.0) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_3 <= 1.998) {
tmp = t_2;
} else {
tmp = 1.0 + ((t_1 + fma(y, 0.5, 1.0)) + -sqrt(z));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_3 = Float64(Float64(t_1 - sqrt(z)) + Float64(t_2 + Float64(sqrt(Float64(y + 1.0)) - sqrt(y)))) tmp = 0.0 if (t_3 <= 0.0) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_3 <= 1.998) tmp = t_2; else tmp = Float64(1.0 + Float64(Float64(t_1 + fma(y, 0.5, 1.0)) + Float64(-sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $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, 1.998], t$95$2, N[(1.0 + N[(N[(t$95$1 + N[(y * 0.5 + 1.0), $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[z], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{x + 1} - \sqrt{x}\\
t_3 := \left(t\_1 - \sqrt{z}\right) + \left(t\_2 + \left(\sqrt{y + 1} - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_3 \leq 0:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_3 \leq 1.998:\\
\;\;\;\;t\_2\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_1 + \mathsf{fma}\left(y, 0.5, 1\right)\right) + \left(-\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 57.2%
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.f644.0
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites19.5%
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))) < 1.998Initial program 96.6%
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.f644.9
Applied rewrites4.9%
Taylor expanded in z around inf
Applied rewrites20.2%
Taylor expanded in y around inf
Applied rewrites18.3%
if 1.998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.1%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
Applied rewrites31.0%
Taylor expanded in x around 0
Applied rewrites26.5%
Taylor expanded in z around inf
Applied rewrites35.4%
Final simplification26.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ x 1.0))))
(if (<= (+ t_2 (+ (- t_4 (sqrt x)) t_1)) 0.9)
(+ (+ (/ 1.0 (+ (sqrt x) t_4)) t_2) t_3)
(+ t_3 (+ t_2 (+ t_1 (- 1.0 (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0)) - sqrt(y);
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((x + 1.0));
double tmp;
if ((t_2 + ((t_4 - sqrt(x)) + t_1)) <= 0.9) {
tmp = ((1.0 / (sqrt(x) + t_4)) + t_2) + t_3;
} else {
tmp = t_3 + (t_2 + (t_1 + (1.0 - sqrt(x))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((y + 1.0d0)) - sqrt(y)
t_2 = sqrt((1.0d0 + z)) - sqrt(z)
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((x + 1.0d0))
if ((t_2 + ((t_4 - sqrt(x)) + t_1)) <= 0.9d0) then
tmp = ((1.0d0 / (sqrt(x) + t_4)) + t_2) + t_3
else
tmp = t_3 + (t_2 + (t_1 + (1.0d0 - sqrt(x))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_2 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((x + 1.0));
double tmp;
if ((t_2 + ((t_4 - Math.sqrt(x)) + t_1)) <= 0.9) {
tmp = ((1.0 / (Math.sqrt(x) + t_4)) + t_2) + t_3;
} else {
tmp = t_3 + (t_2 + (t_1 + (1.0 - Math.sqrt(x))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) - math.sqrt(y) t_2 = math.sqrt((1.0 + z)) - math.sqrt(z) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((x + 1.0)) tmp = 0 if (t_2 + ((t_4 - math.sqrt(x)) + t_1)) <= 0.9: tmp = ((1.0 / (math.sqrt(x) + t_4)) + t_2) + t_3 else: tmp = t_3 + (t_2 + (t_1 + (1.0 - math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_2 + Float64(Float64(t_4 - sqrt(x)) + t_1)) <= 0.9) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + t_2) + t_3); else tmp = Float64(t_3 + Float64(t_2 + Float64(t_1 + Float64(1.0 - sqrt(x))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0)) - sqrt(y);
t_2 = sqrt((1.0 + z)) - sqrt(z);
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((x + 1.0));
tmp = 0.0;
if ((t_2 + ((t_4 - sqrt(x)) + t_1)) <= 0.9)
tmp = ((1.0 / (sqrt(x) + t_4)) + t_2) + t_3;
else
tmp = t_3 + (t_2 + (t_1 + (1.0 - sqrt(x))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], 0.9], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision], N[(t$95$3 + N[(t$95$2 + N[(t$95$1 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1} - \sqrt{y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{x + 1}\\
\mathbf{if}\;t\_2 + \left(\left(t\_4 - \sqrt{x}\right) + t\_1\right) \leq 0.9:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_4} + t\_2\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_2 + \left(t\_1 + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.900000000000000022Initial program 59.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6459.1
Applied rewrites59.1%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6473.1
Applied rewrites73.1%
if 0.900000000000000022 < (+.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 96.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6451.5
Applied rewrites51.5%
Final simplification53.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 t))) (t_2 (sqrt (+ 1.0 z))))
(if (<= y 5.2e+17)
(-
(+
(+ 1.0 (sqrt (+ y 1.0)))
(+ (/ 1.0 (+ (sqrt t) t_1)) (/ 1.0 (+ (sqrt z) t_2))))
(+ (sqrt x) (sqrt y)))
(+
(+ (/ 1.0 (+ (sqrt x) (sqrt (+ x 1.0)))) (- t_2 (sqrt z)))
(- t_1 (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t));
double t_2 = sqrt((1.0 + z));
double tmp;
if (y <= 5.2e+17) {
tmp = ((1.0 + sqrt((y + 1.0))) + ((1.0 / (sqrt(t) + t_1)) + (1.0 / (sqrt(z) + t_2)))) - (sqrt(x) + sqrt(y));
} else {
tmp = ((1.0 / (sqrt(x) + sqrt((x + 1.0)))) + (t_2 - sqrt(z))) + (t_1 - sqrt(t));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + t))
t_2 = sqrt((1.0d0 + z))
if (y <= 5.2d+17) then
tmp = ((1.0d0 + sqrt((y + 1.0d0))) + ((1.0d0 / (sqrt(t) + t_1)) + (1.0d0 / (sqrt(z) + t_2)))) - (sqrt(x) + sqrt(y))
else
tmp = ((1.0d0 / (sqrt(x) + sqrt((x + 1.0d0)))) + (t_2 - sqrt(z))) + (t_1 - sqrt(t))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + t));
double t_2 = Math.sqrt((1.0 + z));
double tmp;
if (y <= 5.2e+17) {
tmp = ((1.0 + Math.sqrt((y + 1.0))) + ((1.0 / (Math.sqrt(t) + t_1)) + (1.0 / (Math.sqrt(z) + t_2)))) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = ((1.0 / (Math.sqrt(x) + Math.sqrt((x + 1.0)))) + (t_2 - Math.sqrt(z))) + (t_1 - Math.sqrt(t));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + t)) t_2 = math.sqrt((1.0 + z)) tmp = 0 if y <= 5.2e+17: tmp = ((1.0 + math.sqrt((y + 1.0))) + ((1.0 / (math.sqrt(t) + t_1)) + (1.0 / (math.sqrt(z) + t_2)))) - (math.sqrt(x) + math.sqrt(y)) else: tmp = ((1.0 / (math.sqrt(x) + math.sqrt((x + 1.0)))) + (t_2 - math.sqrt(z))) + (t_1 - math.sqrt(t)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + t)) t_2 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (y <= 5.2e+17) tmp = Float64(Float64(Float64(1.0 + sqrt(Float64(y + 1.0))) + Float64(Float64(1.0 / Float64(sqrt(t) + t_1)) + Float64(1.0 / Float64(sqrt(z) + t_2)))) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(x + 1.0)))) + Float64(t_2 - sqrt(z))) + Float64(t_1 - sqrt(t))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + t));
t_2 = sqrt((1.0 + z));
tmp = 0.0;
if (y <= 5.2e+17)
tmp = ((1.0 + sqrt((y + 1.0))) + ((1.0 / (sqrt(t) + t_1)) + (1.0 / (sqrt(z) + t_2)))) - (sqrt(x) + sqrt(y));
else
tmp = ((1.0 / (sqrt(x) + sqrt((x + 1.0)))) + (t_2 - sqrt(z))) + (t_1 - sqrt(t));
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 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 5.2e+17], N[(N[(N[(1.0 + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t}\\
t_2 := \sqrt{1 + z}\\
\mathbf{if}\;y \leq 5.2 \cdot 10^{+17}:\\
\;\;\;\;\left(\left(1 + \sqrt{y + 1}\right) + \left(\frac{1}{\sqrt{t} + t\_1} + \frac{1}{\sqrt{z} + t\_2}\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + \sqrt{x + 1}} + \left(t\_2 - \sqrt{z}\right)\right) + \left(t\_1 - \sqrt{t}\right)\\
\end{array}
\end{array}
if y < 5.2e17Initial program 96.3%
lift--.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 rewrites96.8%
lift--.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-+.f6497.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.3
Applied rewrites97.3%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites44.8%
if 5.2e17 < y Initial program 90.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6490.5
Applied rewrites90.5%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6493.2
Applied rewrites93.2%
Final simplification66.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= x 1.45e+16)
(+
t_2
(+ t_1 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))))
(+ t_2 (+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (x <= 1.45e+16) {
tmp = t_2 + (t_1 + ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))));
} else {
tmp = t_2 + (t_1 + (0.5 * (sqrt((1.0 / x)) + sqrt((1.0 / y)))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
if (x <= 1.45d+16) then
tmp = t_2 + (t_1 + ((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))))
else
tmp = t_2 + (t_1 + (0.5d0 * (sqrt((1.0d0 / x)) + sqrt((1.0d0 / y)))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (x <= 1.45e+16) {
tmp = t_2 + (t_1 + ((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))));
} else {
tmp = t_2 + (t_1 + (0.5 * (Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / y)))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if x <= 1.45e+16: tmp = t_2 + (t_1 + ((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y)))) else: tmp = t_2 + (t_1 + (0.5 * (math.sqrt((1.0 / x)) + math.sqrt((1.0 / y))))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (x <= 1.45e+16) tmp = Float64(t_2 + Float64(t_1 + Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))))); else tmp = Float64(t_2 + Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y)))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (x <= 1.45e+16)
tmp = t_2 + (t_1 + ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))));
else
tmp = t_2 + (t_1 + (0.5 * (sqrt((1.0 / x)) + sqrt((1.0 / y)))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 1.45e+16], N[(t$95$2 + N[(t$95$1 + 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]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;x \leq 1.45 \cdot 10^{+16}:\\
\;\;\;\;t\_2 + \left(t\_1 + \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right)\right)\\
\end{array}
\end{array}
if x < 1.45e16Initial program 96.5%
if 1.45e16 < 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.f6493.6
Applied rewrites93.6%
Taylor expanded in y around inf
Applied rewrites42.3%
Final simplification69.2%
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 (+ x 1.0)) (sqrt x)))) (if (<= t_1 0.0) (* 0.5 (sqrt (/ 1.0 x))) t_1)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0)) - sqrt(x);
double tmp;
if (t_1 <= 0.0) {
tmp = 0.5 * sqrt((1.0 / x));
} else {
tmp = t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((x + 1.0d0)) - sqrt(x)
if (t_1 <= 0.0d0) then
tmp = 0.5d0 * sqrt((1.0d0 / x))
else
tmp = t_1
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0)) - Math.sqrt(x);
double tmp;
if (t_1 <= 0.0) {
tmp = 0.5 * Math.sqrt((1.0 / x));
} else {
tmp = t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) - math.sqrt(x) tmp = 0 if t_1 <= 0.0: tmp = 0.5 * math.sqrt((1.0 / x)) else: tmp = t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) tmp = 0.0 if (t_1 <= 0.0) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); else tmp = t_1; end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0)) - sqrt(x);
tmp = 0.0;
if (t_1 <= 0.0)
tmp = 0.5 * sqrt((1.0 / x));
else
tmp = t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.0], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$1]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1} - \sqrt{x}\\
\mathbf{if}\;t\_1 \leq 0:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.0Initial program 90.8%
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.f6420.5
Applied rewrites20.5%
Taylor expanded in z around inf
Applied rewrites5.1%
Taylor expanded in y around inf
Applied rewrites3.1%
Taylor expanded in x around inf
Applied rewrites8.6%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) 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.f6421.4
Applied rewrites21.4%
Taylor expanded in z around inf
Applied rewrites37.3%
Taylor expanded in y around inf
Applied rewrites26.6%
Final simplification17.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= (- (sqrt (+ x 1.0)) (sqrt x)) 0.0005) (* 0.5 (sqrt (/ 1.0 x))) (- (fma x (fma x -0.125 0.5) 1.0) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if ((sqrt((x + 1.0)) - sqrt(x)) <= 0.0005) {
tmp = 0.5 * sqrt((1.0 / x));
} else {
tmp = fma(x, fma(x, -0.125, 0.5), 1.0) - sqrt(x);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) <= 0.0005) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); else tmp = Float64(fma(x, fma(x, -0.125, 0.5), 1.0) - sqrt(x)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.0005], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(x * N[(x * -0.125 + 0.5), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;\sqrt{x + 1} - \sqrt{x} \leq 0.0005:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(x, \mathsf{fma}\left(x, -0.125, 0.5\right), 1\right) - \sqrt{x}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 5.0000000000000001e-4Initial program 90.8%
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.f6420.4
Applied rewrites20.4%
Taylor expanded in z around inf
Applied rewrites5.2%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites8.6%
if 5.0000000000000001e-4 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) 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.f6421.5
Applied rewrites21.5%
Taylor expanded in z around inf
Applied rewrites37.4%
Taylor expanded in y around inf
Applied rewrites26.7%
Taylor expanded in x around 0
Applied rewrites26.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (fma x 0.5 1.0) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return fma(x, 0.5, 1.0) - sqrt(x);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(fma(x, 0.5, 1.0) - sqrt(x)) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(x * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\mathsf{fma}\left(x, 0.5, 1\right) - \sqrt{x}
\end{array}
Initial program 93.6%
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.f6420.9
Applied rewrites20.9%
Taylor expanded in z around inf
Applied rewrites21.0%
Taylor expanded in y around inf
Applied rewrites14.8%
Taylor expanded in x around 0
Applied rewrites15.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- 1.0 (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 - sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 - \sqrt{x}
\end{array}
Initial program 93.6%
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.f6420.9
Applied rewrites20.9%
Taylor expanded in z around inf
Applied rewrites21.0%
Taylor expanded in y around inf
Applied rewrites14.8%
Taylor expanded in x around 0
Applied rewrites13.8%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024235
(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))))