
(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 26 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (+ t_2 (sqrt y)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (+ t_1 (sqrt x)))
(t_6 (* t_3 t_5)))
(if (<= (- t_4 (sqrt t)) 0.0)
(fma
(sqrt (pow t -1.0))
0.5
(+
(+
(fma
(/ (pow t_5 -1.0) t_3)
(+ t_2 t_1)
(pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(/ (sqrt y) t_6))
(/ (sqrt x) t_6)))
(+
(+
(+ (- 1.0 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
(/ (- (+ t 1.0) t) (+ (sqrt t) t_4))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + y));
double t_3 = t_2 + sqrt(y);
double t_4 = sqrt((t + 1.0));
double t_5 = t_1 + sqrt(x);
double t_6 = t_3 * t_5;
double tmp;
if ((t_4 - sqrt(t)) <= 0.0) {
tmp = fma(sqrt(pow(t, -1.0)), 0.5, ((fma((pow(t_5, -1.0) / t_3), (t_2 + t_1), pow((sqrt((1.0 + z)) + sqrt(z)), -1.0)) + (sqrt(y) / t_6)) + (sqrt(x) / t_6)));
} else {
tmp = (((1.0 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (((t + 1.0) - t) / (sqrt(t) + t_4));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(t_2 + sqrt(y)) t_4 = sqrt(Float64(t + 1.0)) t_5 = Float64(t_1 + sqrt(x)) t_6 = Float64(t_3 * t_5) tmp = 0.0 if (Float64(t_4 - sqrt(t)) <= 0.0) tmp = fma(sqrt((t ^ -1.0)), 0.5, Float64(Float64(fma(Float64((t_5 ^ -1.0) / t_3), Float64(t_2 + t_1), (Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0)) + Float64(sqrt(y) / t_6)) + Float64(sqrt(x) / t_6))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_4))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 * t$95$5), $MachinePrecision]}, If[LessEqual[N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[Sqrt[N[Power[t, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[(N[(N[(N[(N[Power[t$95$5, -1.0], $MachinePrecision] / t$95$3), $MachinePrecision] * N[(t$95$2 + t$95$1), $MachinePrecision] + N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] / t$95$6), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] / t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - 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[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + y}\\
t_3 := t\_2 + \sqrt{y}\\
t_4 := \sqrt{t + 1}\\
t_5 := t\_1 + \sqrt{x}\\
t_6 := t\_3 \cdot t\_5\\
\mathbf{if}\;t\_4 - \sqrt{t} \leq 0:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{{t}^{-1}}, 0.5, \left(\mathsf{fma}\left(\frac{{t\_5}^{-1}}{t\_3}, t\_2 + t\_1, {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\right) + \frac{\sqrt{y}}{t\_6}\right) + \frac{\sqrt{x}}{t\_6}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_4}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) < 0.0Initial program 89.2%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites90.5%
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
lower-+.f6490.5
Applied rewrites90.5%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6472.7
Applied rewrites72.7%
Taylor expanded in t around inf
Applied rewrites99.8%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) Initial program 95.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6436.0
Applied rewrites36.0%
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
+-commutativeN/A
lower-+.f6436.7
Applied rewrites36.7%
Final simplification68.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (- t_1 (sqrt y)))
(t_6 (+ (+ (+ (- t_4 (sqrt x)) t_5) t_2) t_3)))
(if (<= t_6 0.0)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) t_2) t_3)
(if (<= t_6 2.001)
(+
t_4
(fma
(sqrt (pow z -1.0))
0.5
(- (- (sqrt (+ 1.0 y)) (sqrt y)) (sqrt x))))
(if (<= t_6 2.99999)
(+ (fma 0.5 x 1.0) (+ t_1 (- t_2 (+ (sqrt y) (sqrt x)))))
(+ (+ (+ (- 1.0 (sqrt x)) t_5) (- 1.0 (sqrt z))) t_3))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((x + 1.0));
double t_5 = t_1 - sqrt(y);
double t_6 = (((t_4 - sqrt(x)) + t_5) + t_2) + t_3;
double tmp;
if (t_6 <= 0.0) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + t_2) + t_3;
} else if (t_6 <= 2.001) {
tmp = t_4 + fma(sqrt(pow(z, -1.0)), 0.5, ((sqrt((1.0 + y)) - sqrt(y)) - sqrt(x)));
} else if (t_6 <= 2.99999) {
tmp = fma(0.5, x, 1.0) + (t_1 + (t_2 - (sqrt(y) + sqrt(x))));
} else {
tmp = (((1.0 - sqrt(x)) + t_5) + (1.0 - sqrt(z))) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(t_1 - sqrt(y)) t_6 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + t_5) + t_2) + t_3) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + t_2) + t_3); elseif (t_6 <= 2.001) tmp = Float64(t_4 + fma(sqrt((z ^ -1.0)), 0.5, Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - sqrt(x)))); elseif (t_6 <= 2.99999) tmp = Float64(fma(0.5, x, 1.0) + Float64(t_1 + Float64(t_2 - Float64(sqrt(y) + sqrt(x))))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_5) + Float64(1.0 - sqrt(z))) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$6, 2.001], N[(t$95$4 + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.99999], N[(N[(0.5 * x + 1.0), $MachinePrecision] + N[(t$95$1 + N[(t$95$2 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $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{z + 1} - \sqrt{z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{x + 1}\\
t_5 := t\_1 - \sqrt{y}\\
t_6 := \left(\left(\left(t\_4 - \sqrt{x}\right) + t\_5\right) + t\_2\right) + t\_3\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_2\right) + t\_3\\
\mathbf{elif}\;t\_6 \leq 2.001:\\
\;\;\;\;t\_4 + \mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, \left(\sqrt{1 + y} - \sqrt{y}\right) - \sqrt{x}\right)\\
\mathbf{elif}\;t\_6 \leq 2.99999:\\
\;\;\;\;\mathsf{fma}\left(0.5, x, 1\right) + \left(t\_1 + \left(t\_2 - \left(\sqrt{y} + \sqrt{x}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_5\right) + \left(1 - \sqrt{z}\right)\right) + t\_3\\
\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))) < 0.0Initial program 3.4%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6415.0
Applied rewrites15.0%
Taylor expanded in x around 0
Applied rewrites15.0%
if 0.0 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00099999999999989Initial program 96.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.4
Applied rewrites4.4%
Applied rewrites25.6%
Taylor expanded in z around inf
Applied rewrites23.6%
if 2.00099999999999989 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.99998999999999993Initial program 95.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6413.5
Applied rewrites13.5%
Applied rewrites23.1%
Taylor expanded in x around 0
Applied rewrites23.0%
if 2.99998999999999993 < (+.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 97.8%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6479.5
Applied rewrites79.5%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6465.0
Applied rewrites65.0%
Final simplification33.5%
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 (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ x 1.0)))
(t_4
(+ (+ (+ (- t_3 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) t_1) t_2)))
(if (<= t_4 0.0)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) t_1) t_2)
(if (<= t_4 2.001)
(+
t_3
(fma
(sqrt (pow z -1.0))
0.5
(- (- (sqrt (+ 1.0 y)) (sqrt y)) (sqrt x))))
(+ (+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_1) t_2)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((x + 1.0));
double t_4 = (((t_3 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_2;
double tmp;
if (t_4 <= 0.0) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + t_1) + t_2;
} else if (t_4 <= 2.001) {
tmp = t_3 + fma(sqrt(pow(z, -1.0)), 0.5, ((sqrt((1.0 + y)) - sqrt(y)) - sqrt(x)));
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) + t_2) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + t_1) + t_2); elseif (t_4 <= 2.001) tmp = Float64(t_3 + fma(sqrt((z ^ -1.0)), 0.5, Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - sqrt(x)))); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$4, 2.001], N[(t$95$3 + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\right) + t\_2\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_1\right) + t\_2\\
\mathbf{elif}\;t\_4 \leq 2.001:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, \left(\sqrt{1 + y} - \sqrt{y}\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + 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))) < 0.0Initial program 3.4%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6415.0
Applied rewrites15.0%
Taylor expanded in x around 0
Applied rewrites15.0%
if 0.0 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00099999999999989Initial program 96.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.4
Applied rewrites4.4%
Applied rewrites25.6%
Taylor expanded in z around inf
Applied rewrites23.6%
if 2.00099999999999989 < (+.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 97.5%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6464.6
Applied rewrites64.6%
Taylor expanded in y around 0
Applied rewrites56.5%
Final simplification32.8%
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 (+ z 1.0)))
(t_2 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))))
(t_3 (- t_1 (sqrt z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= (+ t_2 t_3) 0.0)
(+ (+ (* 0.5 (+ (sqrt (pow y -1.0)) (sqrt (pow x -1.0)))) t_3) t_4)
(+ (+ t_2 (/ (- (+ z 1.0) z) (+ (sqrt z) t_1))) t_4))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = (sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y));
double t_3 = t_1 - sqrt(z);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if ((t_2 + t_3) <= 0.0) {
tmp = ((0.5 * (sqrt(pow(y, -1.0)) + sqrt(pow(x, -1.0)))) + t_3) + t_4;
} else {
tmp = (t_2 + (((z + 1.0) - z) / (sqrt(z) + t_1))) + t_4;
}
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((z + 1.0d0))
t_2 = (sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))
t_3 = t_1 - sqrt(z)
t_4 = sqrt((t + 1.0d0)) - sqrt(t)
if ((t_2 + t_3) <= 0.0d0) then
tmp = ((0.5d0 * (sqrt((y ** (-1.0d0))) + sqrt((x ** (-1.0d0))))) + t_3) + t_4
else
tmp = (t_2 + (((z + 1.0d0) - z) / (sqrt(z) + t_1))) + t_4
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((z + 1.0));
double t_2 = (Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y));
double t_3 = t_1 - Math.sqrt(z);
double t_4 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if ((t_2 + t_3) <= 0.0) {
tmp = ((0.5 * (Math.sqrt(Math.pow(y, -1.0)) + Math.sqrt(Math.pow(x, -1.0)))) + t_3) + t_4;
} else {
tmp = (t_2 + (((z + 1.0) - z) / (Math.sqrt(z) + t_1))) + t_4;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = (math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y)) t_3 = t_1 - math.sqrt(z) t_4 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if (t_2 + t_3) <= 0.0: tmp = ((0.5 * (math.sqrt(math.pow(y, -1.0)) + math.sqrt(math.pow(x, -1.0)))) + t_3) + t_4 else: tmp = (t_2 + (((z + 1.0) - z) / (math.sqrt(z) + t_1))) + t_4 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) t_3 = Float64(t_1 - sqrt(z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 + t_3) <= 0.0) tmp = Float64(Float64(Float64(0.5 * Float64(sqrt((y ^ -1.0)) + sqrt((x ^ -1.0)))) + t_3) + t_4); else tmp = Float64(Float64(t_2 + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1))) + t_4); 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((z + 1.0));
t_2 = (sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y));
t_3 = t_1 - sqrt(z);
t_4 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if ((t_2 + t_3) <= 0.0)
tmp = ((0.5 * (sqrt((y ^ -1.0)) + sqrt((x ^ -1.0)))) + t_3) + t_4;
else
tmp = (t_2 + (((z + 1.0) - z) / (sqrt(z) + t_1))) + t_4;
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[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = 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$3 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 + t$95$3), $MachinePrecision], 0.0], N[(N[(N[(0.5 * N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(t$95$2 + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\\
t_3 := t\_1 - \sqrt{z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 + t\_3 \leq 0:\\
\;\;\;\;\left(0.5 \cdot \left(\sqrt{{y}^{-1}} + \sqrt{{x}^{-1}}\right) + t\_3\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1}\right) + t\_4\\
\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 53.4%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6458.8
Applied rewrites58.8%
Taylor expanded in y around inf
Applied rewrites78.5%
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))) Initial 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
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
Final simplification95.0%
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 (+ z 1.0)) (sqrt z)))
(t_2
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_1))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_2 0.0)
(+ (+ (* 0.5 (+ (sqrt (pow y -1.0)) (sqrt (pow x -1.0)))) t_1) t_3)
(+ t_2 t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1;
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_2 <= 0.0) {
tmp = ((0.5 * (sqrt(pow(y, -1.0)) + sqrt(pow(x, -1.0)))) + t_1) + t_3;
} else {
tmp = t_2 + t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = ((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + t_1
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
if (t_2 <= 0.0d0) then
tmp = ((0.5d0 * (sqrt((y ** (-1.0d0))) + sqrt((x ** (-1.0d0))))) + t_1) + t_3
else
tmp = t_2 + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = ((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + t_1;
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (t_2 <= 0.0) {
tmp = ((0.5 * (Math.sqrt(Math.pow(y, -1.0)) + Math.sqrt(Math.pow(x, -1.0)))) + t_1) + t_3;
} else {
tmp = t_2 + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = ((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + t_1 t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if t_2 <= 0.0: tmp = ((0.5 * (math.sqrt(math.pow(y, -1.0)) + math.sqrt(math.pow(x, -1.0)))) + t_1) + t_3 else: tmp = t_2 + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_2 <= 0.0) tmp = Float64(Float64(Float64(0.5 * Float64(sqrt((y ^ -1.0)) + sqrt((x ^ -1.0)))) + t_1) + t_3); else tmp = Float64(t_2 + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1;
t_3 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (t_2 <= 0.0)
tmp = ((0.5 * (sqrt((y ^ -1.0)) + sqrt((x ^ -1.0)))) + t_1) + t_3;
else
tmp = t_2 + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = 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] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.0], N[(N[(N[(0.5 * N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], N[(t$95$2 + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 \leq 0:\\
\;\;\;\;\left(0.5 \cdot \left(\sqrt{{y}^{-1}} + \sqrt{{x}^{-1}}\right) + t\_1\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;t\_2 + t\_3\\
\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 53.4%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6458.8
Applied rewrites58.8%
Taylor expanded in y around inf
Applied rewrites78.5%
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))) Initial program 96.8%
Final simplification94.8%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_3 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) t_2)))
(if (<= t_4 0.1)
(+ (+ (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0) t_2) t_1)
(if (<= t_4 2.001)
(+
t_3
(fma
(sqrt (pow z -1.0))
0.5
(- (- (sqrt (+ 1.0 y)) (sqrt y)) (sqrt x))))
(+ (+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_2) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_3 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2;
double tmp;
if (t_4 <= 0.1) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + t_2) + t_1;
} else if (t_4 <= 2.001) {
tmp = t_3 + fma(sqrt(pow(z, -1.0)), 0.5, ((sqrt((1.0 + y)) - sqrt(y)) - sqrt(x)));
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_2) tmp = 0.0 if (t_4 <= 0.1) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + t_2) + t_1); elseif (t_4 <= 2.001) tmp = Float64(t_3 + fma(sqrt((z ^ -1.0)), 0.5, Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - sqrt(x)))); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$4, 0.1], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$4, 2.001], N[(t$95$3 + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_3 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_4 \leq 0.1:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + t\_2\right) + t\_1\\
\mathbf{elif}\;t\_4 \leq 2.001:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, \left(\sqrt{1 + y} - \sqrt{y}\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 59.3%
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
+-commutativeN/A
lower-+.f6459.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6459.8
Applied rewrites59.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6460.6
Applied rewrites60.6%
if 0.10000000000000001 < (+.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))) < 2.00099999999999989Initial program 96.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.8
Applied rewrites4.8%
Applied rewrites25.3%
Taylor expanded in z around inf
Applied rewrites22.7%
if 2.00099999999999989 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6499.6
Applied rewrites99.6%
Taylor expanded in y around 0
Applied rewrites95.7%
Final simplification36.8%
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 (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (+ (- t_2 (sqrt x)) (- t_3 (sqrt y))) t_1)))
(if (<= t_4 0.0)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) t_1) (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_4 2.001)
(+
t_2
(fma
(sqrt (pow z -1.0))
0.5
(- (- (sqrt (+ 1.0 y)) (sqrt y)) (sqrt x))))
(+ (fma 0.5 x 1.0) (+ t_3 (- t_1 (+ (sqrt y) (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((y + 1.0));
double t_4 = ((t_2 - sqrt(x)) + (t_3 - sqrt(y))) + t_1;
double tmp;
if (t_4 <= 0.0) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + t_1) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_4 <= 2.001) {
tmp = t_2 + fma(sqrt(pow(z, -1.0)), 0.5, ((sqrt((1.0 + y)) - sqrt(y)) - sqrt(x)));
} else {
tmp = fma(0.5, x, 1.0) + (t_3 + (t_1 - (sqrt(y) + sqrt(x))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_3 - sqrt(y))) + t_1) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + t_1) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_4 <= 2.001) tmp = Float64(t_2 + fma(sqrt((z ^ -1.0)), 0.5, Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - sqrt(x)))); else tmp = Float64(fma(0.5, x, 1.0) + Float64(t_3 + Float64(t_1 - Float64(sqrt(y) + sqrt(x))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.001], N[(t$95$2 + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 * x + 1.0), $MachinePrecision] + N[(t$95$3 + N[(t$95$1 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_1\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_4 \leq 2.001:\\
\;\;\;\;t\_2 + \mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, \left(\sqrt{1 + y} - \sqrt{y}\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(0.5, x, 1\right) + \left(t\_3 + \left(t\_1 - \left(\sqrt{y} + \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 53.4%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6458.8
Applied rewrites58.8%
Taylor expanded in x around 0
Applied rewrites58.8%
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))) < 2.00099999999999989Initial program 96.4%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.8
Applied rewrites4.8%
Applied rewrites24.7%
Taylor expanded in z around inf
Applied rewrites22.2%
if 2.00099999999999989 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6468.0
Applied rewrites68.0%
Applied rewrites68.0%
Taylor expanded in x around 0
Applied rewrites68.0%
Final simplification31.9%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (sqrt (+ y 1.0))))
(if (<= (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_3 (sqrt y))) t_2) 0.999)
(+ (+ (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0) t_2) t_1)
(+
(+
(-
(fma (- (+ y 1.0) y) (pow (+ t_3 (sqrt y)) -1.0) (fma 0.5 x 1.0))
(sqrt x))
t_2)
t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((y + 1.0));
double tmp;
if ((((sqrt((x + 1.0)) - sqrt(x)) + (t_3 - sqrt(y))) + t_2) <= 0.999) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + t_2) + t_1;
} else {
tmp = ((fma(((y + 1.0) - y), pow((t_3 + sqrt(y)), -1.0), fma(0.5, x, 1.0)) - sqrt(x)) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_3 - sqrt(y))) + t_2) <= 0.999) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + t_2) + t_1); else tmp = Float64(Float64(Float64(fma(Float64(Float64(y + 1.0) - y), (Float64(t_3 + sqrt(y)) ^ -1.0), fma(0.5, x, 1.0)) - sqrt(x)) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], 0.999], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(N[(N[(y + 1.0), $MachinePrecision] - y), $MachinePrecision] * N[Power[N[(t$95$3 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[(0.5 * x + 1.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
\mathbf{if}\;\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) + t\_2 \leq 0.999:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + t\_2\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\left(y + 1\right) - y, {\left(t\_3 + \sqrt{y}\right)}^{-1}, \mathsf{fma}\left(0.5, x, 1\right)\right) - \sqrt{x}\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.998999999999999999Initial program 63.1%
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
+-commutativeN/A
lower-+.f6463.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6463.5
Applied rewrites63.5%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6464.7
Applied rewrites64.7%
if 0.998999999999999999 < (+.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 x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.5
Applied rewrites35.5%
Applied rewrites55.3%
Final simplification56.7%
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 (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= x 7.1e+15)
(+
(+
(+
(- (sqrt (+ x 1.0)) (sqrt x))
(/ (- (+ y 1.0) y) (+ (sqrt y) (sqrt (+ y 1.0)))))
t_1)
t_2)
(+ (+ (* 0.5 (+ (sqrt (pow y -1.0)) (sqrt (pow x -1.0)))) t_1) t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (x <= 7.1e+15) {
tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (((y + 1.0) - y) / (sqrt(y) + sqrt((y + 1.0))))) + t_1) + t_2;
} else {
tmp = ((0.5 * (sqrt(pow(y, -1.0)) + sqrt(pow(x, -1.0)))) + t_1) + t_2;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((t + 1.0d0)) - sqrt(t)
if (x <= 7.1d+15) then
tmp = (((sqrt((x + 1.0d0)) - sqrt(x)) + (((y + 1.0d0) - y) / (sqrt(y) + sqrt((y + 1.0d0))))) + t_1) + t_2
else
tmp = ((0.5d0 * (sqrt((y ** (-1.0d0))) + sqrt((x ** (-1.0d0))))) + t_1) + t_2
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (x <= 7.1e+15) {
tmp = (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (((y + 1.0) - y) / (Math.sqrt(y) + Math.sqrt((y + 1.0))))) + t_1) + t_2;
} else {
tmp = ((0.5 * (Math.sqrt(Math.pow(y, -1.0)) + Math.sqrt(Math.pow(x, -1.0)))) + t_1) + t_2;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if x <= 7.1e+15: tmp = (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (((y + 1.0) - y) / (math.sqrt(y) + math.sqrt((y + 1.0))))) + t_1) + t_2 else: tmp = ((0.5 * (math.sqrt(math.pow(y, -1.0)) + math.sqrt(math.pow(x, -1.0)))) + t_1) + t_2 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (x <= 7.1e+15) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(Float64(Float64(y + 1.0) - y) / Float64(sqrt(y) + sqrt(Float64(y + 1.0))))) + t_1) + t_2); else tmp = Float64(Float64(Float64(0.5 * Float64(sqrt((y ^ -1.0)) + sqrt((x ^ -1.0)))) + t_1) + t_2); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (x <= 7.1e+15)
tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (((y + 1.0) - y) / (sqrt(y) + sqrt((y + 1.0))))) + t_1) + t_2;
else
tmp = ((0.5 * (sqrt((y ^ -1.0)) + sqrt((x ^ -1.0)))) + t_1) + t_2;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 7.1e+15], N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(y + 1.0), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(0.5 * N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;x \leq 7.1 \cdot 10^{+15}:\\
\;\;\;\;\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \frac{\left(y + 1\right) - y}{\sqrt{y} + \sqrt{y + 1}}\right) + t\_1\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(0.5 \cdot \left(\sqrt{{y}^{-1}} + \sqrt{{x}^{-1}}\right) + t\_1\right) + t\_2\\
\end{array}
\end{array}
if x < 7.1e15Initial program 96.6%
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
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
if 7.1e15 < x Initial program 87.4%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6489.2
Applied rewrites89.2%
Taylor expanded in y around inf
Applied rewrites55.9%
Final simplification76.8%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (sqrt (+ y 1.0))))
(if (<= (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_3 (sqrt y))) t_2) 0.999)
(+ (+ (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0) t_2) t_1)
(+
(+ (+ (- 1.0 (sqrt x)) (/ (- (+ y 1.0) y) (+ t_3 (sqrt y)))) t_2)
t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((y + 1.0));
double tmp;
if ((((sqrt((x + 1.0)) - sqrt(x)) + (t_3 - sqrt(y))) + t_2) <= 0.999) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + t_2) + t_1;
} else {
tmp = (((1.0 - sqrt(x)) + (((y + 1.0) - y) / (t_3 + sqrt(y)))) + t_2) + 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) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((t + 1.0d0)) - sqrt(t)
t_2 = sqrt((z + 1.0d0)) - sqrt(z)
t_3 = sqrt((y + 1.0d0))
if ((((sqrt((x + 1.0d0)) - sqrt(x)) + (t_3 - sqrt(y))) + t_2) <= 0.999d0) then
tmp = (((sqrt((1.0d0 + x)) + sqrt(x)) ** (-1.0d0)) + t_2) + t_1
else
tmp = (((1.0d0 - sqrt(x)) + (((y + 1.0d0) - y) / (t_3 + sqrt(y)))) + t_2) + 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((t + 1.0)) - Math.sqrt(t);
double t_2 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_3 = Math.sqrt((y + 1.0));
double tmp;
if ((((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (t_3 - Math.sqrt(y))) + t_2) <= 0.999) {
tmp = (Math.pow((Math.sqrt((1.0 + x)) + Math.sqrt(x)), -1.0) + t_2) + t_1;
} else {
tmp = (((1.0 - Math.sqrt(x)) + (((y + 1.0) - y) / (t_3 + Math.sqrt(y)))) + t_2) + t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) - math.sqrt(t) t_2 = math.sqrt((z + 1.0)) - math.sqrt(z) t_3 = math.sqrt((y + 1.0)) tmp = 0 if (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (t_3 - math.sqrt(y))) + t_2) <= 0.999: tmp = (math.pow((math.sqrt((1.0 + x)) + math.sqrt(x)), -1.0) + t_2) + t_1 else: tmp = (((1.0 - math.sqrt(x)) + (((y + 1.0) - y) / (t_3 + math.sqrt(y)))) + t_2) + t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_3 - sqrt(y))) + t_2) <= 0.999) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + t_2) + t_1); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(Float64(Float64(y + 1.0) - y) / Float64(t_3 + sqrt(y)))) + t_2) + 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((t + 1.0)) - sqrt(t);
t_2 = sqrt((z + 1.0)) - sqrt(z);
t_3 = sqrt((y + 1.0));
tmp = 0.0;
if ((((sqrt((x + 1.0)) - sqrt(x)) + (t_3 - sqrt(y))) + t_2) <= 0.999)
tmp = (((sqrt((1.0 + x)) + sqrt(x)) ^ -1.0) + t_2) + t_1;
else
tmp = (((1.0 - sqrt(x)) + (((y + 1.0) - y) / (t_3 + sqrt(y)))) + t_2) + 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[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], 0.999], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(y + 1.0), $MachinePrecision] - y), $MachinePrecision] / N[(t$95$3 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
\mathbf{if}\;\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) + t\_2 \leq 0.999:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + t\_2\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \frac{\left(y + 1\right) - y}{t\_3 + \sqrt{y}}\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.998999999999999999Initial program 63.1%
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
+-commutativeN/A
lower-+.f6463.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6463.5
Applied rewrites63.5%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6464.7
Applied rewrites64.7%
if 0.998999999999999999 < (+.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 x around 0
lower--.f64N/A
lower-sqrt.f6452.3
Applied rewrites52.3%
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
lift--.f64N/A
lower-+.f6452.5
Applied rewrites52.5%
Final simplification54.4%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y))))
(if (<= (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_3) t_2) 0.999)
(+ (+ (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0) t_2) t_1)
(+ (+ (+ (fma 0.5 x (- 1.0 (sqrt x))) t_3) t_2) t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double tmp;
if ((((sqrt((x + 1.0)) - sqrt(x)) + t_3) + t_2) <= 0.999) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + t_2) + t_1;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + t_3) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) tmp = 0.0 if (Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_3) + t_2) <= 0.999) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + t_2) + t_1); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_3) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision], 0.999], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
\mathbf{if}\;\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + t\_3\right) + t\_2 \leq 0.999:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + t\_2\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_3\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.998999999999999999Initial program 63.1%
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
+-commutativeN/A
lower-+.f6463.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6463.5
Applied rewrites63.5%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6464.7
Applied rewrites64.7%
if 0.998999999999999999 < (+.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 x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6455.0
Applied rewrites55.0%
Final simplification56.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_1 0.0)
(+ (+ (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0) (- t_2 (sqrt z))) t_3)
(+
(+ (+ (- 1.0 (sqrt x)) t_1) (/ (- (+ z 1.0) z) (+ t_2 (sqrt z))))
t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0)) - sqrt(y);
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_1 <= 0.0) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + (t_2 - sqrt(z))) + t_3;
} else {
tmp = (((1.0 - sqrt(x)) + t_1) + (((z + 1.0) - z) / (t_2 + sqrt(z)))) + t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((y + 1.0d0)) - sqrt(y)
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
if (t_1 <= 0.0d0) then
tmp = (((sqrt((1.0d0 + x)) + sqrt(x)) ** (-1.0d0)) + (t_2 - sqrt(z))) + t_3
else
tmp = (((1.0d0 - sqrt(x)) + t_1) + (((z + 1.0d0) - z) / (t_2 + sqrt(z)))) + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (t_1 <= 0.0) {
tmp = (Math.pow((Math.sqrt((1.0 + x)) + Math.sqrt(x)), -1.0) + (t_2 - Math.sqrt(z))) + t_3;
} else {
tmp = (((1.0 - Math.sqrt(x)) + t_1) + (((z + 1.0) - z) / (t_2 + Math.sqrt(z)))) + t_3;
}
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((z + 1.0)) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if t_1 <= 0.0: tmp = (math.pow((math.sqrt((1.0 + x)) + math.sqrt(x)), -1.0) + (t_2 - math.sqrt(z))) + t_3 else: tmp = (((1.0 - math.sqrt(x)) + t_1) + (((z + 1.0) - z) / (t_2 + math.sqrt(z)))) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_1 <= 0.0) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + Float64(t_2 - sqrt(z))) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_1) + Float64(Float64(Float64(z + 1.0) - z) / Float64(t_2 + sqrt(z)))) + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0)) - sqrt(y);
t_2 = sqrt((z + 1.0));
t_3 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (t_1 <= 0.0)
tmp = (((sqrt((1.0 + x)) + sqrt(x)) ^ -1.0) + (t_2 - sqrt(z))) + t_3;
else
tmp = (((1.0 - sqrt(x)) + t_1) + (((z + 1.0) - z) / (t_2 + sqrt(z)))) + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.0], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $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{z + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_1 \leq 0:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_1\right) + \frac{\left(z + 1\right) - z}{t\_2 + \sqrt{z}}\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 87.7%
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
+-commutativeN/A
lower-+.f6487.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6487.9
Applied rewrites87.9%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6489.6
Applied rewrites89.6%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6449.1
Applied rewrites49.1%
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
lift--.f64N/A
lower-+.f6449.3
Applied rewrites49.3%
Final simplification69.9%
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 (+ t 1.0)))
(t_2 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z))))
(if (<= t_2 0.0)
(+ (+ (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0) t_3) (- t_1 (sqrt t)))
(+
(+ (+ (- 1.0 (sqrt x)) t_2) t_3)
(/ (- (+ t 1.0) t) (+ (sqrt t) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = sqrt((y + 1.0)) - sqrt(y);
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double tmp;
if (t_2 <= 0.0) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + t_3) + (t_1 - sqrt(t));
} else {
tmp = (((1.0 - sqrt(x)) + t_2) + t_3) + (((t + 1.0) - t) / (sqrt(t) + 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) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((t + 1.0d0))
t_2 = sqrt((y + 1.0d0)) - sqrt(y)
t_3 = sqrt((z + 1.0d0)) - sqrt(z)
if (t_2 <= 0.0d0) then
tmp = (((sqrt((1.0d0 + x)) + sqrt(x)) ** (-1.0d0)) + t_3) + (t_1 - sqrt(t))
else
tmp = (((1.0d0 - sqrt(x)) + t_2) + t_3) + (((t + 1.0d0) - t) / (sqrt(t) + 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((t + 1.0));
double t_2 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_3 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double tmp;
if (t_2 <= 0.0) {
tmp = (Math.pow((Math.sqrt((1.0 + x)) + Math.sqrt(x)), -1.0) + t_3) + (t_1 - Math.sqrt(t));
} else {
tmp = (((1.0 - Math.sqrt(x)) + t_2) + t_3) + (((t + 1.0) - t) / (Math.sqrt(t) + t_1));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) t_2 = math.sqrt((y + 1.0)) - math.sqrt(y) t_3 = math.sqrt((z + 1.0)) - math.sqrt(z) tmp = 0 if t_2 <= 0.0: tmp = (math.pow((math.sqrt((1.0 + x)) + math.sqrt(x)), -1.0) + t_3) + (t_1 - math.sqrt(t)) else: tmp = (((1.0 - math.sqrt(x)) + t_2) + t_3) + (((t + 1.0) - t) / (math.sqrt(t) + t_1)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) tmp = 0.0 if (t_2 <= 0.0) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + t_3) + Float64(t_1 - sqrt(t))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_2) + t_3) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + 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((t + 1.0));
t_2 = sqrt((y + 1.0)) - sqrt(y);
t_3 = sqrt((z + 1.0)) - sqrt(z);
tmp = 0.0;
if (t_2 <= 0.0)
tmp = (((sqrt((1.0 + x)) + sqrt(x)) ^ -1.0) + t_3) + (t_1 - sqrt(t));
else
tmp = (((1.0 - sqrt(x)) + t_2) + t_3) + (((t + 1.0) - t) / (sqrt(t) + 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[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.0], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$3), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1}\\
t_2 := \sqrt{y + 1} - \sqrt{y}\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
\mathbf{if}\;t\_2 \leq 0:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + t\_3\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_2\right) + t\_3\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_1}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 87.7%
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
+-commutativeN/A
lower-+.f6487.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6487.9
Applied rewrites87.9%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6489.6
Applied rewrites89.6%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6449.1
Applied rewrites49.1%
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
+-commutativeN/A
lower-+.f6449.6
Applied rewrites49.6%
Final simplification70.0%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z))))
(if (<= t_2 0.0)
(+ (+ (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0) t_3) t_1)
(+ (+ (+ (- 1.0 (sqrt x)) t_2) t_3) t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((y + 1.0)) - sqrt(y);
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double tmp;
if (t_2 <= 0.0) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + t_3) + t_1;
} else {
tmp = (((1.0 - sqrt(x)) + t_2) + t_3) + 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) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((t + 1.0d0)) - sqrt(t)
t_2 = sqrt((y + 1.0d0)) - sqrt(y)
t_3 = sqrt((z + 1.0d0)) - sqrt(z)
if (t_2 <= 0.0d0) then
tmp = (((sqrt((1.0d0 + x)) + sqrt(x)) ** (-1.0d0)) + t_3) + t_1
else
tmp = (((1.0d0 - sqrt(x)) + t_2) + t_3) + 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((t + 1.0)) - Math.sqrt(t);
double t_2 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_3 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double tmp;
if (t_2 <= 0.0) {
tmp = (Math.pow((Math.sqrt((1.0 + x)) + Math.sqrt(x)), -1.0) + t_3) + t_1;
} else {
tmp = (((1.0 - Math.sqrt(x)) + t_2) + t_3) + t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) - math.sqrt(t) t_2 = math.sqrt((y + 1.0)) - math.sqrt(y) t_3 = math.sqrt((z + 1.0)) - math.sqrt(z) tmp = 0 if t_2 <= 0.0: tmp = (math.pow((math.sqrt((1.0 + x)) + math.sqrt(x)), -1.0) + t_3) + t_1 else: tmp = (((1.0 - math.sqrt(x)) + t_2) + t_3) + t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) tmp = 0.0 if (t_2 <= 0.0) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + t_3) + t_1); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_2) + t_3) + 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((t + 1.0)) - sqrt(t);
t_2 = sqrt((y + 1.0)) - sqrt(y);
t_3 = sqrt((z + 1.0)) - sqrt(z);
tmp = 0.0;
if (t_2 <= 0.0)
tmp = (((sqrt((1.0 + x)) + sqrt(x)) ^ -1.0) + t_3) + t_1;
else
tmp = (((1.0 - sqrt(x)) + t_2) + t_3) + 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[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.0], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{y + 1} - \sqrt{y}\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
\mathbf{if}\;t\_2 \leq 0:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + t\_3\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_2\right) + t\_3\right) + t\_1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 87.7%
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
+-commutativeN/A
lower-+.f6487.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6487.9
Applied rewrites87.9%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6489.6
Applied rewrites89.6%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6449.1
Applied rewrites49.1%
Final simplification69.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(+
(+
(/
(+ (+ 1.0 (sqrt x)) (+ (sqrt (+ 1.0 y)) (sqrt y)))
(* (+ (sqrt x) (sqrt (+ 1.0 x))) (+ (sqrt y) (sqrt (+ y 1.0)))))
(/ (- (+ z 1.0) z) (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return ((((1.0 + sqrt(x)) + (sqrt((1.0 + y)) + sqrt(y))) / ((sqrt(x) + sqrt((1.0 + x))) * (sqrt(y) + sqrt((y + 1.0))))) + (((z + 1.0) - z) / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = ((((1.0d0 + sqrt(x)) + (sqrt((1.0d0 + y)) + sqrt(y))) / ((sqrt(x) + sqrt((1.0d0 + x))) * (sqrt(y) + sqrt((y + 1.0d0))))) + (((z + 1.0d0) - z) / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return ((((1.0 + Math.sqrt(x)) + (Math.sqrt((1.0 + y)) + Math.sqrt(y))) / ((Math.sqrt(x) + Math.sqrt((1.0 + x))) * (Math.sqrt(y) + Math.sqrt((y + 1.0))))) + (((z + 1.0) - z) / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return ((((1.0 + math.sqrt(x)) + (math.sqrt((1.0 + y)) + math.sqrt(y))) / ((math.sqrt(x) + math.sqrt((1.0 + x))) * (math.sqrt(y) + math.sqrt((y + 1.0))))) + (((z + 1.0) - z) / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(Float64(Float64(Float64(1.0 + sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) + sqrt(y))) / Float64(Float64(sqrt(x) + sqrt(Float64(1.0 + x))) * Float64(sqrt(y) + sqrt(Float64(y + 1.0))))) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = ((((1.0 + sqrt(x)) + (sqrt((1.0 + y)) + sqrt(y))) / ((sqrt(x) + sqrt((1.0 + x))) * (sqrt(y) + sqrt((y + 1.0))))) + (((z + 1.0) - z) / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[(N[(N[(1.0 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / 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}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\frac{\left(1 + \sqrt{x}\right) + \left(\sqrt{1 + y} + \sqrt{y}\right)}{\left(\sqrt{x} + \sqrt{1 + x}\right) \cdot \left(\sqrt{y} + \sqrt{y + 1}\right)} + \frac{\left(z + 1\right) - z}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Initial program 92.1%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites93.2%
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
lower-+.f6493.4
Applied rewrites93.4%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6475.0
Applied rewrites75.0%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6475.7
Applied rewrites75.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))))
(if (<= z 27000000.0)
(- (+ (+ t_1 1.0) (sqrt (+ 1.0 z))) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(+
(sqrt (+ x 1.0))
(fma (sqrt (pow z -1.0)) 0.5 (- (- t_1 (sqrt y)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double tmp;
if (z <= 27000000.0) {
tmp = ((t_1 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = sqrt((x + 1.0)) + fma(sqrt(pow(z, -1.0)), 0.5, ((t_1 - sqrt(y)) - sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (z <= 27000000.0) tmp = Float64(Float64(Float64(t_1 + 1.0) + sqrt(Float64(1.0 + z))) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(sqrt(Float64(x + 1.0)) + fma(sqrt((z ^ -1.0)), 0.5, Float64(Float64(t_1 - sqrt(y)) - sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 27000000.0], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
\mathbf{if}\;z \leq 27000000:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + \sqrt{1 + z}\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{x + 1} + \mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, \left(t\_1 - \sqrt{y}\right) - \sqrt{x}\right)\\
\end{array}
\end{array}
if z < 2.7e7Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.2
Applied rewrites19.2%
Taylor expanded in x around 0
Applied rewrites18.4%
if 2.7e7 < z Initial program 84.8%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.0
Applied rewrites4.0%
Applied rewrites33.2%
Taylor expanded in z around inf
Applied rewrites34.1%
Final simplification25.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= y 5e+25) (- (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y))) (+ (sqrt y) (sqrt x))) (+ (sqrt (* (fma x x -1.0) (pow (- x 1.0) -1.0))) (- (sqrt x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 5e+25) {
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
} else {
tmp = sqrt((fma(x, x, -1.0) * pow((x - 1.0), -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 (y <= 5e+25) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(sqrt(Float64(fma(x, x, -1.0) * (Float64(x - 1.0) ^ -1.0))) + Float64(-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[y, 5e+25], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(N[(x * x + -1.0), $MachinePrecision] * N[Power[N[(x - 1.0), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 5 \cdot 10^{+25}:\\
\;\;\;\;\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(x, x, -1\right) \cdot {\left(x - 1\right)}^{-1}} + \left(-\sqrt{x}\right)\\
\end{array}
\end{array}
if y < 5.00000000000000024e25Initial program 93.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.4
Applied rewrites20.4%
Taylor expanded in z around inf
Applied rewrites23.6%
if 5.00000000000000024e25 < y Initial program 90.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.9
Applied rewrites3.9%
Applied rewrites19.4%
Taylor expanded in x around inf
Applied rewrites18.4%
Applied rewrites18.4%
Final simplification21.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (sqrt (* (fma x x -1.0) (pow (- x 1.0) -1.0))) (- (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt((fma(x, x, -1.0) * pow((x - 1.0), -1.0))) + -sqrt(x);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(Float64(fma(x, x, -1.0) * (Float64(x - 1.0) ^ -1.0))) + Float64(-sqrt(x))) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[N[(N[(x * x + -1.0), $MachinePrecision] * N[Power[N[(x - 1.0), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{\mathsf{fma}\left(x, x, -1\right) \cdot {\left(x - 1\right)}^{-1}} + \left(-\sqrt{x}\right)
\end{array}
Initial program 92.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Applied rewrites27.9%
Taylor expanded in x around inf
Applied rewrites14.7%
Applied rewrites14.7%
Final simplification14.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= y 2e+48)
(+
(fma 0.5 x 1.0)
(+
(sqrt (+ y 1.0))
(- (- (sqrt (+ z 1.0)) (sqrt z)) (+ (sqrt y) (sqrt x)))))
(+ (sqrt (+ x 1.0)) (- (sqrt x)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 2e+48) {
tmp = fma(0.5, x, 1.0) + (sqrt((y + 1.0)) + ((sqrt((z + 1.0)) - sqrt(z)) - (sqrt(y) + sqrt(x))));
} else {
tmp = sqrt((x + 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 (y <= 2e+48) tmp = Float64(fma(0.5, x, 1.0) + Float64(sqrt(Float64(y + 1.0)) + Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x))))); else tmp = Float64(sqrt(Float64(x + 1.0)) + Float64(-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[y, 2e+48], N[(N[(0.5 * x + 1.0), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 2 \cdot 10^{+48}:\\
\;\;\;\;\mathsf{fma}\left(0.5, x, 1\right) + \left(\sqrt{y + 1} + \left(\left(\sqrt{z + 1} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{x + 1} + \left(-\sqrt{x}\right)\\
\end{array}
\end{array}
if y < 2.00000000000000009e48Initial program 94.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.3
Applied rewrites20.3%
Applied rewrites35.1%
Taylor expanded in x around 0
Applied rewrites34.0%
if 2.00000000000000009e48 < y Initial program 89.8%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Applied rewrites19.2%
Taylor expanded in x around inf
Applied rewrites18.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))))
(if (<= z 9e+14)
(- (+ (+ t_1 1.0) (sqrt (+ 1.0 z))) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(+ (sqrt (+ x 1.0)) (- (- t_1 (sqrt y)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double tmp;
if (z <= 9e+14) {
tmp = ((t_1 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = sqrt((x + 1.0)) + ((t_1 - sqrt(y)) - sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
if (z <= 9d+14) then
tmp = ((t_1 + 1.0d0) + sqrt((1.0d0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x))
else
tmp = sqrt((x + 1.0d0)) + ((t_1 - sqrt(y)) - sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double tmp;
if (z <= 9e+14) {
tmp = ((t_1 + 1.0) + Math.sqrt((1.0 + z))) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x));
} else {
tmp = Math.sqrt((x + 1.0)) + ((t_1 - Math.sqrt(y)) - Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) tmp = 0 if z <= 9e+14: tmp = ((t_1 + 1.0) + math.sqrt((1.0 + z))) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x)) else: tmp = math.sqrt((x + 1.0)) + ((t_1 - math.sqrt(y)) - math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (z <= 9e+14) tmp = Float64(Float64(Float64(t_1 + 1.0) + sqrt(Float64(1.0 + z))) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(sqrt(Float64(x + 1.0)) + Float64(Float64(t_1 - sqrt(y)) - sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
tmp = 0.0;
if (z <= 9e+14)
tmp = ((t_1 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
else
tmp = sqrt((x + 1.0)) + ((t_1 - sqrt(y)) - sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 9e+14], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
\mathbf{if}\;z \leq 9 \cdot 10^{+14}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + \sqrt{1 + z}\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{x + 1} + \left(\left(t\_1 - \sqrt{y}\right) - \sqrt{x}\right)\\
\end{array}
\end{array}
if z < 9e14Initial program 97.4%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.2
Applied rewrites19.2%
Taylor expanded in x around 0
Applied rewrites18.5%
if 9e14 < z Initial program 84.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.5
Applied rewrites3.5%
Applied rewrites33.5%
Taylor expanded in z around inf
Applied rewrites34.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))))
(if (<= z 9.5e+15)
(+ 1.0 (- (+ (sqrt (+ z 1.0)) t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))
(+ (sqrt (+ x 1.0)) (- (- t_1 (sqrt y)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double tmp;
if (z <= 9.5e+15) {
tmp = 1.0 + ((sqrt((z + 1.0)) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
} else {
tmp = sqrt((x + 1.0)) + ((t_1 - sqrt(y)) - sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
if (z <= 9.5d+15) then
tmp = 1.0d0 + ((sqrt((z + 1.0d0)) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)))
else
tmp = sqrt((x + 1.0d0)) + ((t_1 - sqrt(y)) - sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double tmp;
if (z <= 9.5e+15) {
tmp = 1.0 + ((Math.sqrt((z + 1.0)) + t_1) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x)));
} else {
tmp = Math.sqrt((x + 1.0)) + ((t_1 - Math.sqrt(y)) - Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) tmp = 0 if z <= 9.5e+15: tmp = 1.0 + ((math.sqrt((z + 1.0)) + t_1) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) else: tmp = math.sqrt((x + 1.0)) + ((t_1 - math.sqrt(y)) - math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (z <= 9.5e+15) tmp = Float64(1.0 + Float64(Float64(sqrt(Float64(z + 1.0)) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); else tmp = Float64(sqrt(Float64(x + 1.0)) + Float64(Float64(t_1 - sqrt(y)) - sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
tmp = 0.0;
if (z <= 9.5e+15)
tmp = 1.0 + ((sqrt((z + 1.0)) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
else
tmp = sqrt((x + 1.0)) + ((t_1 - sqrt(y)) - sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 9.5e+15], N[(1.0 + N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
\mathbf{if}\;z \leq 9.5 \cdot 10^{+15}:\\
\;\;\;\;1 + \left(\left(\sqrt{z + 1} + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{x + 1} + \left(\left(t\_1 - \sqrt{y}\right) - \sqrt{x}\right)\\
\end{array}
\end{array}
if z < 9.5e15Initial program 97.4%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.2
Applied rewrites19.2%
Taylor expanded in x around 0
Applied rewrites29.4%
if 9.5e15 < z Initial program 84.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.5
Applied rewrites3.5%
Applied rewrites33.5%
Taylor expanded in z around inf
Applied rewrites34.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))))
(if (<= z 0.47)
(- (+ (fma 0.5 z t_1) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(+ (sqrt (+ x 1.0)) (- (- t_1 (sqrt y)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double tmp;
if (z <= 0.47) {
tmp = (fma(0.5, z, t_1) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = sqrt((x + 1.0)) + ((t_1 - sqrt(y)) - sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (z <= 0.47) tmp = Float64(Float64(fma(0.5, z, t_1) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(sqrt(Float64(x + 1.0)) + Float64(Float64(t_1 - sqrt(y)) - sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 0.47], N[(N[(N[(0.5 * z + t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
\mathbf{if}\;z \leq 0.47:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, z, t\_1\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{x + 1} + \left(\left(t\_1 - \sqrt{y}\right) - \sqrt{x}\right)\\
\end{array}
\end{array}
if z < 0.46999999999999997Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.5
Applied rewrites19.5%
Taylor expanded in z around inf
Applied rewrites1.4%
Taylor expanded in z around 0
Applied rewrites19.5%
Taylor expanded in x around 0
Applied rewrites18.8%
if 0.46999999999999997 < z Initial program 85.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.9
Applied rewrites3.9%
Applied rewrites32.5%
Taylor expanded in z around inf
Applied rewrites33.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0))))
(if (<= y 5e+41)
(+ t_1 (- (sqrt (+ 1.0 y)) (+ (sqrt y) (sqrt x))))
(+ t_1 (- (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double tmp;
if (y <= 5e+41) {
tmp = t_1 + (sqrt((1.0 + y)) - (sqrt(y) + sqrt(x)));
} else {
tmp = t_1 + -sqrt(x);
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
if (y <= 5d+41) then
tmp = t_1 + (sqrt((1.0d0 + y)) - (sqrt(y) + sqrt(x)))
else
tmp = t_1 + -sqrt(x)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double tmp;
if (y <= 5e+41) {
tmp = t_1 + (Math.sqrt((1.0 + y)) - (Math.sqrt(y) + Math.sqrt(x)));
} else {
tmp = t_1 + -Math.sqrt(x);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) tmp = 0 if y <= 5e+41: tmp = t_1 + (math.sqrt((1.0 + y)) - (math.sqrt(y) + math.sqrt(x))) else: tmp = t_1 + -math.sqrt(x) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (y <= 5e+41) tmp = Float64(t_1 + Float64(sqrt(Float64(1.0 + y)) - Float64(sqrt(y) + sqrt(x)))); else tmp = Float64(t_1 + Float64(-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((x + 1.0));
tmp = 0.0;
if (y <= 5e+41)
tmp = t_1 + (sqrt((1.0 + y)) - (sqrt(y) + sqrt(x)));
else
tmp = t_1 + -sqrt(x);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 5e+41], N[(t$95$1 + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
\mathbf{if}\;y \leq 5 \cdot 10^{+41}:\\
\;\;\;\;t\_1 + \left(\sqrt{1 + y} - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(-\sqrt{x}\right)\\
\end{array}
\end{array}
if y < 5.00000000000000022e41Initial program 93.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.5
Applied rewrites20.5%
Applied rewrites35.5%
Taylor expanded in x around inf
Applied rewrites11.3%
Taylor expanded in z around inf
Applied rewrites23.2%
if 5.00000000000000022e41 < y Initial program 90.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Applied rewrites19.0%
Taylor expanded in x around inf
Applied rewrites18.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (sqrt (+ x 1.0)) (- (- (sqrt (+ 1.0 y)) (sqrt y)) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt((x + 1.0)) + ((sqrt((1.0 + y)) - sqrt(y)) - sqrt(x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt((x + 1.0d0)) + ((sqrt((1.0d0 + y)) - sqrt(y)) - sqrt(x))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt((x + 1.0)) + ((Math.sqrt((1.0 + y)) - Math.sqrt(y)) - Math.sqrt(x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt((x + 1.0)) + ((math.sqrt((1.0 + y)) - math.sqrt(y)) - math.sqrt(x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(Float64(x + 1.0)) + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt((x + 1.0)) + ((sqrt((1.0 + y)) - sqrt(y)) - sqrt(x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{x + 1} + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) - \sqrt{x}\right)
\end{array}
Initial program 92.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Applied rewrites27.9%
Taylor expanded in z around inf
Applied rewrites21.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (sqrt (+ x 1.0)) (- (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt((x + 1.0)) + -sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt((x + 1.0d0)) + -sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt((x + 1.0)) + -Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt((x + 1.0)) + -math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(Float64(x + 1.0)) + Float64(-sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt((x + 1.0)) + -sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{x + 1} + \left(-\sqrt{x}\right)
\end{array}
Initial program 92.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Applied rewrites27.9%
Taylor expanded in x around inf
Applied rewrites14.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (fma 0.5 x 1.0) (- (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return fma(0.5, x, 1.0) + -sqrt(x);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(fma(0.5, x, 1.0) + Float64(-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[(0.5 * x + 1.0), $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\mathsf{fma}\left(0.5, x, 1\right) + \left(-\sqrt{x}\right)
\end{array}
Initial program 92.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Applied rewrites27.9%
Taylor expanded in x around inf
Applied rewrites14.7%
Taylor expanded in x around 0
Applied rewrites15.3%
(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 2024313
(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))))