
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (pow (+ t_2 (sqrt z)) -1.0))
(t_4
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z))))
(t_5 (pow (+ t_1 (sqrt y)) -1.0)))
(if (<= t_4 1e-7)
(+ (fma (sqrt (pow x -1.0)) 0.5 t_5) t_3)
(if (<= t_4 2.997)
(- (+ (+ t_5 (sqrt (+ 1.0 x))) t_3) (sqrt x))
(+
(- (+ (+ (fma 0.5 x 1.0) t_1) t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(/ (- (+ t 1.0) t) (+ (sqrt t) (sqrt (+ t 1.0)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = pow((t_2 + sqrt(z)), -1.0);
double t_4 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z));
double t_5 = pow((t_1 + sqrt(y)), -1.0);
double tmp;
if (t_4 <= 1e-7) {
tmp = fma(sqrt(pow(x, -1.0)), 0.5, t_5) + t_3;
} else if (t_4 <= 2.997) {
tmp = ((t_5 + sqrt((1.0 + x))) + t_3) - sqrt(x);
} else {
tmp = (((fma(0.5, x, 1.0) + t_1) + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + (((t + 1.0) - t) / (sqrt(t) + sqrt((t + 1.0))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 + sqrt(z)) ^ -1.0 t_4 = 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))) t_5 = Float64(t_1 + sqrt(y)) ^ -1.0 tmp = 0.0 if (t_4 <= 1e-7) tmp = Float64(fma(sqrt((x ^ -1.0)), 0.5, t_5) + t_3); elseif (t_4 <= 2.997) tmp = Float64(Float64(Float64(t_5 + sqrt(Float64(1.0 + x))) + t_3) - sqrt(x)); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_1) + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + sqrt(Float64(t + 1.0))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$4 = 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]}, Block[{t$95$5 = N[Power[N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, If[LessEqual[t$95$4, 1e-7], N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 2.997], N[(N[(N[(t$95$5 + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := {\left(t\_2 + \sqrt{z}\right)}^{-1}\\
t_4 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\\
t_5 := {\left(t\_1 + \sqrt{y}\right)}^{-1}\\
\mathbf{if}\;t\_4 \leq 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{{x}^{-1}}, 0.5, t\_5\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 2.997:\\
\;\;\;\;\left(\left(t\_5 + \sqrt{1 + x}\right) + t\_3\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_1\right) + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + \sqrt{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))) < 9.9999999999999995e-8Initial program 40.8%
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-+.f6440.8
Applied rewrites40.8%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6440.8
Applied rewrites40.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites4.3%
Taylor expanded in x around inf
Applied rewrites52.3%
if 9.9999999999999995e-8 < (+.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))) < 2.997Initial program 96.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6497.8
Applied rewrites97.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites32.2%
if 2.997 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/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-+.f64N/A
Applied rewrites98.3%
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
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Final simplification43.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(t_3
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z))))
(t_4 (pow (+ t_1 (sqrt y)) -1.0)))
(if (<= t_3 1e-7)
(+ (fma (sqrt (pow x -1.0)) 0.5 t_4) t_2)
(if (<= t_3 2.999999995)
(- (+ (+ t_4 (sqrt (+ 1.0 x))) t_2) (sqrt x))
(+
(- (+ (fma 0.5 (+ z x) t_1) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(/ (- (+ t 1.0) t) (+ (sqrt (+ t 1.0)) (sqrt t))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = pow((sqrt((1.0 + z)) + sqrt(z)), -1.0);
double t_3 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z));
double t_4 = pow((t_1 + sqrt(y)), -1.0);
double tmp;
if (t_3 <= 1e-7) {
tmp = fma(sqrt(pow(x, -1.0)), 0.5, t_4) + t_2;
} else if (t_3 <= 2.999999995) {
tmp = ((t_4 + sqrt((1.0 + x))) + t_2) - sqrt(x);
} else {
tmp = ((fma(0.5, (z + x), t_1) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + (((t + 1.0) - t) / (sqrt((t + 1.0)) + sqrt(t)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0 t_3 = 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))) t_4 = Float64(t_1 + sqrt(y)) ^ -1.0 tmp = 0.0 if (t_3 <= 1e-7) tmp = Float64(fma(sqrt((x ^ -1.0)), 0.5, t_4) + t_2); elseif (t_3 <= 2.999999995) tmp = Float64(Float64(Float64(t_4 + sqrt(Float64(1.0 + x))) + t_2) - sqrt(x)); else tmp = Float64(Float64(Float64(fma(0.5, Float64(z + x), t_1) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(Float64(t + 1.0)) + sqrt(t)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$3 = 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]}, Block[{t$95$4 = N[Power[N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, If[LessEqual[t$95$3, 1e-7], N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$3, 2.999999995], N[(N[(N[(t$95$4 + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * N[(z + x), $MachinePrecision] + 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[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\\
t_3 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\\
t_4 := {\left(t\_1 + \sqrt{y}\right)}^{-1}\\
\mathbf{if}\;t\_3 \leq 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{{x}^{-1}}, 0.5, t\_4\right) + t\_2\\
\mathbf{elif}\;t\_3 \leq 2.999999995:\\
\;\;\;\;\left(\left(t\_4 + \sqrt{1 + x}\right) + t\_2\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z + x, t\_1\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + \frac{\left(t + 1\right) - t}{\sqrt{t + 1} + \sqrt{t}}\\
\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))) < 9.9999999999999995e-8Initial program 40.8%
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-+.f6440.8
Applied rewrites40.8%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6440.8
Applied rewrites40.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites4.3%
Taylor expanded in x around inf
Applied rewrites52.3%
if 9.9999999999999995e-8 < (+.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))) < 2.99999999500000003Initial program 96.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6497.8
Applied rewrites97.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites32.3%
if 2.99999999500000003 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.6%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/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-+.f64N/A
Applied rewrites98.6%
Taylor expanded in z around 0
Applied rewrites98.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6499.4
Applied rewrites99.4%
Final simplification42.0%
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 (pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(t_2
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z))))
(t_3 (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0)))
(if (<= t_2 1e-7)
(+ (fma (sqrt (pow x -1.0)) 0.5 t_3) t_1)
(if (<= t_2 1.99999995)
(- (+ (fma 0.5 x (+ t_3 t_1)) 1.0) (sqrt x))
(+
(+ 2.0 (- t_1 (+ (sqrt y) (sqrt x))))
(- (sqrt (+ t 1.0)) (sqrt t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = pow((sqrt((1.0 + z)) + sqrt(z)), -1.0);
double t_2 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z));
double t_3 = pow((sqrt((1.0 + y)) + sqrt(y)), -1.0);
double tmp;
if (t_2 <= 1e-7) {
tmp = fma(sqrt(pow(x, -1.0)), 0.5, t_3) + t_1;
} else if (t_2 <= 1.99999995) {
tmp = (fma(0.5, x, (t_3 + t_1)) + 1.0) - sqrt(x);
} else {
tmp = (2.0 + (t_1 - (sqrt(y) + sqrt(x)))) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0 t_2 = 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))) t_3 = Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0 tmp = 0.0 if (t_2 <= 1e-7) tmp = Float64(fma(sqrt((x ^ -1.0)), 0.5, t_3) + t_1); elseif (t_2 <= 1.99999995) tmp = Float64(Float64(fma(0.5, x, Float64(t_3 + t_1)) + 1.0) - sqrt(x)); else tmp = Float64(Float64(2.0 + Float64(t_1 - Float64(sqrt(y) + sqrt(x)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); 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[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $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] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, If[LessEqual[t$95$2, 1e-7], N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$2, 1.99999995], N[(N[(N[(0.5 * x + N[(t$95$3 + t$95$1), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $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])\\
\\
\begin{array}{l}
t_1 := {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\\
t_2 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\\
t_3 := {\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1}\\
\mathbf{if}\;t\_2 \leq 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{{x}^{-1}}, 0.5, t\_3\right) + t\_1\\
\mathbf{elif}\;t\_2 \leq 1.99999995:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, t\_3 + t\_1\right) + 1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(2 + \left(t\_1 - \left(\sqrt{y} + \sqrt{x}\right)\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\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))) < 9.9999999999999995e-8Initial program 40.8%
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-+.f6440.8
Applied rewrites40.8%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6440.8
Applied rewrites40.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites4.3%
Taylor expanded in x around inf
Applied rewrites52.3%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.99999995000000008Initial program 96.1%
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-+.f6496.9
Applied rewrites96.9%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6497.8
Applied rewrites97.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites22.8%
Taylor expanded in x around 0
Applied rewrites21.7%
if 1.99999995000000008 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.1%
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-+.f6497.6
Applied rewrites97.6%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6457.4
Applied rewrites57.4%
Taylor expanded in y around 0
Applied rewrites50.1%
Final simplification37.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_4
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_3)))
(if (<= t_4 1e-7)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) t_3) t_1)
(if (<= t_4 2.997)
(-
(+
(+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) 1.0)
(pow (+ t_2 (sqrt z)) -1.0))
(sqrt x))
(+
(- (+ 2.0 (fma 0.5 x t_2)) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double t_4 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_3;
double tmp;
if (t_4 <= 1e-7) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + t_3) + t_1;
} else if (t_4 <= 2.997) {
tmp = ((pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + 1.0) + pow((t_2 + sqrt(z)), -1.0)) - sqrt(x);
} else {
tmp = ((2.0 + fma(0.5, x, t_2)) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_4 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_3) tmp = 0.0 if (t_4 <= 1e-7) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + t_3) + t_1); elseif (t_4 <= 2.997) tmp = Float64(Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + 1.0) + (Float64(t_2 + sqrt(z)) ^ -1.0)) - sqrt(x)); else tmp = Float64(Float64(Float64(2.0 + fma(0.5, x, t_2)) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = 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$3), $MachinePrecision]}, If[LessEqual[t$95$4, 1e-7], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$4, 2.997], N[(N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + 1.0), $MachinePrecision] + N[Power[N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(2.0 + N[(0.5 * x + t$95$2), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $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{1 + z}\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
t_4 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_3\\
\mathbf{if}\;t\_4 \leq 10^{-7}:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_3\right) + t\_1\\
\mathbf{elif}\;t\_4 \leq 2.997:\\
\;\;\;\;\left(\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + 1\right) + {\left(t\_2 + \sqrt{z}\right)}^{-1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(2 + \mathsf{fma}\left(0.5, x, t\_2\right)\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\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))) < 9.9999999999999995e-8Initial program 40.8%
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.f6454.8
Applied rewrites54.8%
Taylor expanded in x around 0
Applied rewrites54.8%
if 9.9999999999999995e-8 < (+.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))) < 2.997Initial program 96.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6497.8
Applied rewrites97.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites32.2%
Taylor expanded in x around 0
Applied rewrites29.1%
if 2.997 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/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-+.f64N/A
Applied rewrites98.3%
Taylor expanded in y around 0
Applied rewrites96.9%
Final simplification40.5%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_2)))
(if (<= t_3 1e-7)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) t_2) t_1)
(if (<= t_3 2.00005)
(-
(+
(fma (sqrt (pow z -1.0)) 0.5 (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0))
(sqrt (+ 1.0 x)))
(sqrt x))
(+
(-
(+ 2.0 (fma 0.5 x (sqrt (+ 1.0 z))))
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2;
double tmp;
if (t_3 <= 1e-7) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + t_2) + t_1;
} else if (t_3 <= 2.00005) {
tmp = (fma(sqrt(pow(z, -1.0)), 0.5, pow((sqrt((1.0 + y)) + sqrt(y)), -1.0)) + sqrt((1.0 + x))) - sqrt(x);
} else {
tmp = ((2.0 + fma(0.5, x, sqrt((1.0 + z)))) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_2) tmp = 0.0 if (t_3 <= 1e-7) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + t_2) + t_1); elseif (t_3 <= 2.00005) tmp = Float64(Float64(fma(sqrt((z ^ -1.0)), 0.5, (Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0)) + sqrt(Float64(1.0 + x))) - sqrt(x)); else tmp = Float64(Float64(Float64(2.0 + fma(0.5, x, sqrt(Float64(1.0 + z)))) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[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[(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$2), $MachinePrecision]}, If[LessEqual[t$95$3, 1e-7], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$3, 2.00005], N[(N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(2.0 + N[(0.5 * x + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $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 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_3 \leq 10^{-7}:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_2\right) + t\_1\\
\mathbf{elif}\;t\_3 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, {\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1}\right) + \sqrt{1 + x}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(2 + \mathsf{fma}\left(0.5, x, \sqrt{1 + z}\right)\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\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))) < 9.9999999999999995e-8Initial program 40.8%
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.f6454.8
Applied rewrites54.8%
Taylor expanded in x around 0
Applied rewrites54.8%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.3%
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
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6497.7
Applied rewrites97.7%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites32.0%
Taylor expanded in z around inf
Applied rewrites21.4%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.3%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/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-+.f64N/A
Applied rewrites97.7%
Taylor expanded in y around 0
Applied rewrites93.8%
Final simplification35.0%
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 (pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(t_2 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_2 1e-7)
(+
(+
(pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0)
(- (sqrt (+ z 1.0)) (sqrt z)))
t_3)
(if (<= t_2 1.99999995)
(-
(+ (fma 0.5 x (+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) t_1)) 1.0)
(sqrt x))
(+ (+ 2.0 (- t_1 (+ (sqrt y) (sqrt x)))) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = pow((sqrt((1.0 + z)) + sqrt(z)), -1.0);
double t_2 = (sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_2 <= 1e-7) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + (sqrt((z + 1.0)) - sqrt(z))) + t_3;
} else if (t_2 <= 1.99999995) {
tmp = (fma(0.5, x, (pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + t_1)) + 1.0) - sqrt(x);
} else {
tmp = (2.0 + (t_1 - (sqrt(y) + sqrt(x)))) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0 t_2 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_2 <= 1e-7) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + t_3); elseif (t_2 <= 1.99999995) tmp = Float64(Float64(fma(0.5, x, Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + t_1)) + 1.0) - sqrt(x)); else tmp = Float64(Float64(2.0 + Float64(t_1 - Float64(sqrt(y) + sqrt(x)))) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 1e-7], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$2, 1.99999995], N[(N[(N[(0.5 * x + N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$1 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $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 := {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\\
t_2 := \left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 \leq 10^{-7}:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + t\_3\\
\mathbf{elif}\;t\_2 \leq 1.99999995:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, {\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + t\_1\right) + 1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(2 + \left(t\_1 - \left(\sqrt{y} + \sqrt{x}\right)\right)\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 9.9999999999999995e-8Initial program 71.7%
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-+.f6473.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6473.6
Applied rewrites73.6%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6478.6
Applied rewrites78.6%
if 9.9999999999999995e-8 < (+.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))) < 1.99999995000000008Initial program 96.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6497.7
Applied rewrites97.7%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites33.3%
Taylor expanded in x around 0
Applied rewrites31.7%
if 1.99999995000000008 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.8%
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-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
Taylor expanded in y around 0
Applied rewrites99.0%
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 (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))))
(t_2 (pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_1 0.99999)
(+
(+
(pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0)
(- (sqrt (+ z 1.0)) (sqrt z)))
t_3)
(if (<= t_1 1.99999995)
(- (+ (+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) 1.0) t_2) (sqrt x))
(+ (+ 2.0 (- t_2 (+ (sqrt y) (sqrt x)))) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = (sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y));
double t_2 = pow((sqrt((1.0 + z)) + sqrt(z)), -1.0);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_1 <= 0.99999) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + (sqrt((z + 1.0)) - sqrt(z))) + t_3;
} else if (t_1 <= 1.99999995) {
tmp = ((pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + 1.0) + t_2) - sqrt(x);
} else {
tmp = (2.0 + (t_2 - (sqrt(y) + sqrt(x)))) + 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((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))
t_2 = (sqrt((1.0d0 + z)) + sqrt(z)) ** (-1.0d0)
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
if (t_1 <= 0.99999d0) then
tmp = (((sqrt((1.0d0 + x)) + sqrt(x)) ** (-1.0d0)) + (sqrt((z + 1.0d0)) - sqrt(z))) + t_3
else if (t_1 <= 1.99999995d0) then
tmp = ((((sqrt((1.0d0 + y)) + sqrt(y)) ** (-1.0d0)) + 1.0d0) + t_2) - sqrt(x)
else
tmp = (2.0d0 + (t_2 - (sqrt(y) + sqrt(x)))) + 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((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y));
double t_2 = Math.pow((Math.sqrt((1.0 + z)) + Math.sqrt(z)), -1.0);
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (t_1 <= 0.99999) {
tmp = (Math.pow((Math.sqrt((1.0 + x)) + Math.sqrt(x)), -1.0) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + t_3;
} else if (t_1 <= 1.99999995) {
tmp = ((Math.pow((Math.sqrt((1.0 + y)) + Math.sqrt(y)), -1.0) + 1.0) + t_2) - Math.sqrt(x);
} else {
tmp = (2.0 + (t_2 - (Math.sqrt(y) + Math.sqrt(x)))) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = (math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y)) t_2 = math.pow((math.sqrt((1.0 + z)) + math.sqrt(z)), -1.0) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if t_1 <= 0.99999: tmp = (math.pow((math.sqrt((1.0 + x)) + math.sqrt(x)), -1.0) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + t_3 elif t_1 <= 1.99999995: tmp = ((math.pow((math.sqrt((1.0 + y)) + math.sqrt(y)), -1.0) + 1.0) + t_2) - math.sqrt(x) else: tmp = (2.0 + (t_2 - (math.sqrt(y) + math.sqrt(x)))) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) t_2 = Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0 t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_1 <= 0.99999) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + t_3); elseif (t_1 <= 1.99999995) tmp = Float64(Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + 1.0) + t_2) - sqrt(x)); else tmp = Float64(Float64(2.0 + Float64(t_2 - Float64(sqrt(y) + sqrt(x)))) + 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((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y));
t_2 = (sqrt((1.0 + z)) + sqrt(z)) ^ -1.0;
t_3 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (t_1 <= 0.99999)
tmp = (((sqrt((1.0 + x)) + sqrt(x)) ^ -1.0) + (sqrt((z + 1.0)) - sqrt(z))) + t_3;
elseif (t_1 <= 1.99999995)
tmp = ((((sqrt((1.0 + y)) + sqrt(y)) ^ -1.0) + 1.0) + t_2) - sqrt(x);
else
tmp = (2.0 + (t_2 - (sqrt(y) + sqrt(x)))) + 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[(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$2 = N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.99999], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$1, 1.99999995], N[(N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $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 := \left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\\
t_2 := {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_1 \leq 0.99999:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + t\_3\\
\mathbf{elif}\;t\_1 \leq 1.99999995:\\
\;\;\;\;\left(\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + 1\right) + t\_2\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(2 + \left(t\_2 - \left(\sqrt{y} + \sqrt{x}\right)\right)\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.999990000000000046Initial program 73.7%
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-+.f6475.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6475.8
Applied rewrites75.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6476.6
Applied rewrites76.6%
if 0.999990000000000046 < (+.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))) < 1.99999995000000008Initial 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-+.f6497.4
Applied rewrites97.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6498.0
Applied rewrites98.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites33.9%
Taylor expanded in x around 0
Applied rewrites30.9%
if 1.99999995000000008 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.8%
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-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
Taylor expanded in y around 0
Applied rewrites99.0%
Final simplification57.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))))
(t_2 (pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_1 1e-7)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) (- (sqrt (+ z 1.0)) (sqrt z))) t_3)
(if (<= t_1 1.99999995)
(- (+ (+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) 1.0) t_2) (sqrt x))
(+ (+ 2.0 (- t_2 (+ (sqrt y) (sqrt x)))) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = (sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y));
double t_2 = pow((sqrt((1.0 + z)) + sqrt(z)), -1.0);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_1 <= 1e-7) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + (sqrt((z + 1.0)) - sqrt(z))) + t_3;
} else if (t_1 <= 1.99999995) {
tmp = ((pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + 1.0) + t_2) - sqrt(x);
} else {
tmp = (2.0 + (t_2 - (sqrt(y) + sqrt(x)))) + 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((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))
t_2 = (sqrt((1.0d0 + z)) + sqrt(z)) ** (-1.0d0)
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
if (t_1 <= 1d-7) then
tmp = ((sqrt((x ** (-1.0d0))) * 0.5d0) + (sqrt((z + 1.0d0)) - sqrt(z))) + t_3
else if (t_1 <= 1.99999995d0) then
tmp = ((((sqrt((1.0d0 + y)) + sqrt(y)) ** (-1.0d0)) + 1.0d0) + t_2) - sqrt(x)
else
tmp = (2.0d0 + (t_2 - (sqrt(y) + sqrt(x)))) + 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((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y));
double t_2 = Math.pow((Math.sqrt((1.0 + z)) + Math.sqrt(z)), -1.0);
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (t_1 <= 1e-7) {
tmp = ((Math.sqrt(Math.pow(x, -1.0)) * 0.5) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + t_3;
} else if (t_1 <= 1.99999995) {
tmp = ((Math.pow((Math.sqrt((1.0 + y)) + Math.sqrt(y)), -1.0) + 1.0) + t_2) - Math.sqrt(x);
} else {
tmp = (2.0 + (t_2 - (Math.sqrt(y) + Math.sqrt(x)))) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = (math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y)) t_2 = math.pow((math.sqrt((1.0 + z)) + math.sqrt(z)), -1.0) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if t_1 <= 1e-7: tmp = ((math.sqrt(math.pow(x, -1.0)) * 0.5) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + t_3 elif t_1 <= 1.99999995: tmp = ((math.pow((math.sqrt((1.0 + y)) + math.sqrt(y)), -1.0) + 1.0) + t_2) - math.sqrt(x) else: tmp = (2.0 + (t_2 - (math.sqrt(y) + math.sqrt(x)))) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) t_2 = Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0 t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_1 <= 1e-7) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + t_3); elseif (t_1 <= 1.99999995) tmp = Float64(Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + 1.0) + t_2) - sqrt(x)); else tmp = Float64(Float64(2.0 + Float64(t_2 - Float64(sqrt(y) + sqrt(x)))) + 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((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y));
t_2 = (sqrt((1.0 + z)) + sqrt(z)) ^ -1.0;
t_3 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (t_1 <= 1e-7)
tmp = ((sqrt((x ^ -1.0)) * 0.5) + (sqrt((z + 1.0)) - sqrt(z))) + t_3;
elseif (t_1 <= 1.99999995)
tmp = ((((sqrt((1.0 + y)) + sqrt(y)) ^ -1.0) + 1.0) + t_2) - sqrt(x);
else
tmp = (2.0 + (t_2 - (sqrt(y) + sqrt(x)))) + 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[(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$2 = N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 1e-7], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$1, 1.99999995], N[(N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(t$95$2 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $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 := \left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\\
t_2 := {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_1 \leq 10^{-7}:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + t\_3\\
\mathbf{elif}\;t\_1 \leq 1.99999995:\\
\;\;\;\;\left(\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + 1\right) + t\_2\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(2 + \left(t\_2 - \left(\sqrt{y} + \sqrt{x}\right)\right)\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 9.9999999999999995e-8Initial program 71.7%
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.f6478.5
Applied rewrites78.5%
Taylor expanded in x around 0
Applied rewrites78.4%
if 9.9999999999999995e-8 < (+.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))) < 1.99999995000000008Initial program 96.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6497.7
Applied rewrites97.7%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites33.3%
Taylor expanded in x around 0
Applied rewrites29.5%
if 1.99999995000000008 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.8%
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-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
Taylor expanded in y around 0
Applied rewrites99.0%
Final simplification55.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))))
(if (<= t_2 1.001)
(-
(fma 0.5 (+ (sqrt (pow z -1.0)) (sqrt (pow y -1.0))) (sqrt (+ 1.0 x)))
(sqrt x))
(if (<= t_2 3.5)
(- (+ 1.0 (+ t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))) (+ (sqrt y) (sqrt x)))
(+
(- (+ (fma 0.5 (+ z x) t_1) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(- 1.0 (sqrt t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = (((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 tmp;
if (t_2 <= 1.001) {
tmp = fma(0.5, (sqrt(pow(z, -1.0)) + sqrt(pow(y, -1.0))), sqrt((1.0 + x))) - sqrt(x);
} else if (t_2 <= 3.5) {
tmp = (1.0 + (t_1 + (sqrt((1.0 + z)) - sqrt(z)))) - (sqrt(y) + sqrt(x));
} else {
tmp = ((fma(0.5, (z + x), t_1) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + (1.0 - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = 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))) tmp = 0.0 if (t_2 <= 1.001) tmp = Float64(fma(0.5, Float64(sqrt((z ^ -1.0)) + sqrt((y ^ -1.0))), sqrt(Float64(1.0 + x))) - sqrt(x)); elseif (t_2 <= 3.5) tmp = Float64(Float64(1.0 + Float64(t_1 + Float64(sqrt(Float64(1.0 + z)) - sqrt(z)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(fma(0.5, Float64(z + x), t_1) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + Float64(1.0 - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(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]}, If[LessEqual[t$95$2, 1.001], N[(N[(0.5 * N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 3.5], N[(N[(1.0 + N[(t$95$1 + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * N[(z + x), $MachinePrecision] + 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[(1.0 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \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)\\
\mathbf{if}\;t\_2 \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{{z}^{-1}} + \sqrt{{y}^{-1}}, \sqrt{1 + x}\right) - \sqrt{x}\\
\mathbf{elif}\;t\_2 \leq 3.5:\\
\;\;\;\;\left(1 + \left(t\_1 + \left(\sqrt{1 + z} - \sqrt{z}\right)\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z + x, t\_1\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + \left(1 - \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.0009999999999999Initial program 77.7%
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.f644.9
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites6.7%
Taylor expanded in z around inf
Applied rewrites22.6%
if 1.0009999999999999 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 96.7%
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.f6416.4
Applied rewrites16.4%
Applied rewrites16.2%
Taylor expanded in x around 0
Applied rewrites23.3%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 100.0%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/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-+.f64N/A
Applied rewrites99.9%
Taylor expanded in z around 0
Applied rewrites99.9%
Taylor expanded in t around 0
lower--.f64N/A
lower-sqrt.f6499.9
Applied rewrites99.9%
Final simplification27.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<=
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
1.001)
(-
(fma 0.5 (+ (sqrt (pow z -1.0)) (sqrt (pow y -1.0))) (sqrt (+ 1.0 x)))
(sqrt x))
(-
(+ 1.0 (+ (sqrt (+ 1.0 y)) (- (sqrt (+ 1.0 z)) (sqrt z))))
(+ (sqrt y) (sqrt x)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if ((((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) <= 1.001) {
tmp = fma(0.5, (sqrt(pow(z, -1.0)) + sqrt(pow(y, -1.0))), sqrt((1.0 + x))) - sqrt(x);
} else {
tmp = (1.0 + (sqrt((1.0 + y)) + (sqrt((1.0 + z)) - sqrt(z)))) - (sqrt(y) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (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))) <= 1.001) tmp = Float64(fma(0.5, Float64(sqrt((z ^ -1.0)) + sqrt((y ^ -1.0))), sqrt(Float64(1.0 + x))) - sqrt(x)); else tmp = Float64(Float64(1.0 + Float64(sqrt(Float64(1.0 + y)) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z)))) - Float64(sqrt(y) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[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], 1.001], N[(N[(0.5 * N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right) \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{{z}^{-1}} + \sqrt{{y}^{-1}}, \sqrt{1 + x}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(\sqrt{1 + y} + \left(\sqrt{1 + z} - \sqrt{z}\right)\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.0009999999999999Initial program 85.2%
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.f644.2
Applied rewrites4.2%
Taylor expanded in y around inf
Applied rewrites5.6%
Taylor expanded in z around inf
Applied rewrites17.2%
if 1.0009999999999999 < (+.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 97.0%
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.f6421.6
Applied rewrites21.6%
Applied rewrites21.4%
Taylor expanded in x around 0
Applied rewrites30.5%
Final simplification24.1%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_2)))
(if (<= t_3 1e-7)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) t_2) t_1)
(if (<= t_3 2.0)
(-
(+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) (sqrt (+ 1.0 x)))
(sqrt x))
(+
(-
(+ 2.0 (fma 0.5 x (sqrt (+ 1.0 z))))
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2;
double tmp;
if (t_3 <= 1e-7) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + t_2) + t_1;
} else if (t_3 <= 2.0) {
tmp = (pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + sqrt((1.0 + x))) - sqrt(x);
} else {
tmp = ((2.0 + fma(0.5, x, sqrt((1.0 + z)))) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_2) tmp = 0.0 if (t_3 <= 1e-7) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + t_2) + t_1); elseif (t_3 <= 2.0) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - sqrt(x)); else tmp = Float64(Float64(Float64(2.0 + fma(0.5, x, sqrt(Float64(1.0 + z)))) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[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[(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$2), $MachinePrecision]}, If[LessEqual[t$95$3, 1e-7], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$3, 2.0], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(2.0 + N[(0.5 * x + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $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 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_3 \leq 10^{-7}:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_2\right) + t\_1\\
\mathbf{elif}\;t\_3 \leq 2:\\
\;\;\;\;\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(2 + \mathsf{fma}\left(0.5, x, \sqrt{1 + z}\right)\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\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))) < 9.9999999999999995e-8Initial program 40.8%
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.f6454.8
Applied rewrites54.8%
Taylor expanded in x around 0
Applied rewrites54.8%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 96.9%
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-+.f6497.4
Applied rewrites97.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6497.9
Applied rewrites97.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.6%
Taylor expanded in z around inf
Applied rewrites23.1%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 95.2%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/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-+.f64N/A
Applied rewrites91.5%
Taylor expanded in y around 0
Applied rewrites86.5%
Final simplification36.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) t_2) t_3)))
(if (<= t_5 1e-7)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) t_2) t_3)
(if (<= t_5 3.2)
(+ t_4 (+ t_1 (- (- (sqrt (+ 1.0 z)) (sqrt z)) (+ (sqrt y) (sqrt x)))))
(+
(-
(+ (fma 0.5 (+ z x) (sqrt (+ 1.0 y))) 2.0)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(- (fma 0.5 t 1.0) (sqrt t)))))))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_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_2) + t_3;
double tmp;
if (t_5 <= 1e-7) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + t_2) + t_3;
} else if (t_5 <= 3.2) {
tmp = t_4 + (t_1 + ((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) + sqrt(x))));
} else {
tmp = ((fma(0.5, (z + x), sqrt((1.0 + y))) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + (fma(0.5, t, 1.0) - sqrt(t));
}
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(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_2) + t_3) tmp = 0.0 if (t_5 <= 1e-7) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + t_2) + t_3); elseif (t_5 <= 3.2) tmp = Float64(t_4 + Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x))))); else tmp = Float64(Float64(Float64(fma(0.5, Float64(z + x), sqrt(Float64(1.0 + y))) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + Float64(fma(0.5, t, 1.0) - sqrt(t))); 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[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$5, 1e-7], 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$5, 3.2], N[(t$95$4 + N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * N[(z + x), $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * t + 1.0), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_2\right) + t\_3\\
\mathbf{if}\;t\_5 \leq 10^{-7}:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_2\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 3.2:\\
\;\;\;\;t\_4 + \left(t\_1 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z + x, \sqrt{1 + y}\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + \left(\mathsf{fma}\left(0.5, t, 1\right) - \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.9999999999999995e-8Initial program 5.1%
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.f6426.3
Applied rewrites26.3%
Taylor expanded in x around 0
Applied rewrites26.3%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.2000000000000002Initial program 96.1%
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.f6413.4
Applied rewrites13.4%
Applied rewrites29.5%
if 3.2000000000000002 < (+.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 100.0%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/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-+.f64N/A
Applied rewrites99.9%
Taylor expanded in z around 0
Applied rewrites94.9%
Taylor expanded in t around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6494.9
Applied rewrites94.9%
Final simplification33.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) t_2) t_3)))
(if (<= t_5 1e-7)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) t_2) t_3)
(if (<= t_5 3.5)
(+ t_4 (+ t_1 (- (- (sqrt (+ 1.0 z)) (sqrt z)) (+ (sqrt y) (sqrt x)))))
(+
(-
(+ (fma 0.5 (+ z x) (sqrt (+ 1.0 y))) 2.0)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(- 1.0 (sqrt t)))))))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_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_2) + t_3;
double tmp;
if (t_5 <= 1e-7) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + t_2) + t_3;
} else if (t_5 <= 3.5) {
tmp = t_4 + (t_1 + ((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) + sqrt(x))));
} else {
tmp = ((fma(0.5, (z + x), sqrt((1.0 + y))) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + (1.0 - sqrt(t));
}
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(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_2) + t_3) tmp = 0.0 if (t_5 <= 1e-7) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + t_2) + t_3); elseif (t_5 <= 3.5) tmp = Float64(t_4 + Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x))))); else tmp = Float64(Float64(Float64(fma(0.5, Float64(z + x), sqrt(Float64(1.0 + y))) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + Float64(1.0 - sqrt(t))); 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[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$5, 1e-7], 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$5, 3.5], N[(t$95$4 + N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * N[(z + x), $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_2\right) + t\_3\\
\mathbf{if}\;t\_5 \leq 10^{-7}:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_2\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 3.5:\\
\;\;\;\;t\_4 + \left(t\_1 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z + x, \sqrt{1 + y}\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + \left(1 - \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.9999999999999995e-8Initial program 5.1%
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.f6426.3
Applied rewrites26.3%
Taylor expanded in x around 0
Applied rewrites26.3%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 96.1%
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.f6413.4
Applied rewrites13.4%
Applied rewrites29.5%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 100.0%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/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-+.f64N/A
Applied rewrites99.9%
Taylor expanded in z around 0
Applied rewrites99.9%
Taylor expanded in t around 0
lower--.f64N/A
lower-sqrt.f6499.9
Applied rewrites99.9%
Final simplification33.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x))))
(if (<=
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
2.0)
(- (fma (sqrt (pow y -1.0)) 0.5 t_1) (sqrt x))
(- (+ t_1 (sqrt (+ 1.0 z))) (+ (sqrt z) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double tmp;
if ((((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) <= 2.0) {
tmp = fma(sqrt(pow(y, -1.0)), 0.5, t_1) - sqrt(x);
} else {
tmp = (t_1 + sqrt((1.0 + z))) - (sqrt(z) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (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))) <= 2.0) tmp = Float64(fma(sqrt((y ^ -1.0)), 0.5, t_1) - sqrt(x)); else tmp = Float64(Float64(t_1 + sqrt(Float64(1.0 + z))) - Float64(sqrt(z) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[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], 2.0], N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $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 + x}\\
\mathbf{if}\;\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right) \leq 2:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, t\_1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \sqrt{1 + z}\right) - \left(\sqrt{z} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 90.6%
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.f644.3
Applied rewrites4.3%
Taylor expanded in y around inf
Applied rewrites14.6%
Taylor expanded in z around inf
Applied rewrites14.5%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 95.2%
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.f6459.0
Applied rewrites59.0%
Taylor expanded in y around inf
Applied rewrites20.4%
Final simplification15.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))) (t_2 (sqrt (+ x 1.0))))
(if (<=
(+
(+
(+ (- t_2 (sqrt x)) (- t_1 (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))
3.5)
(+ t_2 (+ t_1 (- (- (sqrt (+ 1.0 z)) (sqrt z)) (+ (sqrt y) (sqrt x)))))
(+
(-
(+ (fma 0.5 (+ z x) (sqrt (+ 1.0 y))) 2.0)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(- 1.0 (sqrt t))))))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((x + 1.0));
double tmp;
if (((((t_2 - sqrt(x)) + (t_1 - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t))) <= 3.5) {
tmp = t_2 + (t_1 + ((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) + sqrt(x))));
} else {
tmp = ((fma(0.5, (z + x), sqrt((1.0 + y))) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + (1.0 - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) <= 3.5) tmp = Float64(t_2 + Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x))))); else tmp = Float64(Float64(Float64(fma(0.5, Float64(z + x), sqrt(Float64(1.0 + y))) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + Float64(1.0 - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - 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], 3.5], N[(t$95$2 + N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * N[(z + x), $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{x + 1}\\
\mathbf{if}\;\left(\left(\left(t\_2 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right) \leq 3.5:\\
\;\;\;\;t\_2 + \left(t\_1 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z + x, \sqrt{1 + y}\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + \left(1 - \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 90.9%
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.f6412.8
Applied rewrites12.8%
Applied rewrites28.0%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 100.0%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/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-+.f64N/A
Applied rewrites99.9%
Taylor expanded in z around 0
Applied rewrites99.9%
Taylor expanded in t around 0
lower--.f64N/A
lower-sqrt.f6499.9
Applied rewrites99.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= z 2.5e+16)
(+
(sqrt (+ z 1.0))
(- (+ (sqrt (+ y 1.0)) 1.0) (+ (+ (sqrt y) (sqrt z)) (sqrt x))))
(- (+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) (sqrt (+ 1.0 x))) (sqrt x))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 2.5e+16) {
tmp = sqrt((z + 1.0)) + ((sqrt((y + 1.0)) + 1.0) - ((sqrt(y) + sqrt(z)) + sqrt(x)));
} else {
tmp = (pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + sqrt((1.0 + x))) - sqrt(x);
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (z <= 2.5d+16) then
tmp = sqrt((z + 1.0d0)) + ((sqrt((y + 1.0d0)) + 1.0d0) - ((sqrt(y) + sqrt(z)) + sqrt(x)))
else
tmp = (((sqrt((1.0d0 + y)) + sqrt(y)) ** (-1.0d0)) + sqrt((1.0d0 + x))) - sqrt(x)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (z <= 2.5e+16) {
tmp = Math.sqrt((z + 1.0)) + ((Math.sqrt((y + 1.0)) + 1.0) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x)));
} else {
tmp = (Math.pow((Math.sqrt((1.0 + y)) + Math.sqrt(y)), -1.0) + Math.sqrt((1.0 + x))) - Math.sqrt(x);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if z <= 2.5e+16: tmp = math.sqrt((z + 1.0)) + ((math.sqrt((y + 1.0)) + 1.0) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) else: tmp = (math.pow((math.sqrt((1.0 + y)) + math.sqrt(y)), -1.0) + math.sqrt((1.0 + x))) - math.sqrt(x) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 2.5e+16) tmp = Float64(sqrt(Float64(z + 1.0)) + Float64(Float64(sqrt(Float64(y + 1.0)) + 1.0) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)))); else tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - sqrt(x)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (z <= 2.5e+16)
tmp = sqrt((z + 1.0)) + ((sqrt((y + 1.0)) + 1.0) - ((sqrt(y) + sqrt(z)) + sqrt(x)));
else
tmp = (((sqrt((1.0 + y)) + sqrt(y)) ^ -1.0) + sqrt((1.0 + x))) - sqrt(x);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[z, 2.5e+16], N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $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}\;z \leq 2.5 \cdot 10^{+16}:\\
\;\;\;\;\sqrt{z + 1} + \left(\left(\sqrt{y + 1} + 1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}\\
\end{array}
\end{array}
if z < 2.5e16Initial program 96.2%
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.f6420.9
Applied rewrites20.9%
Taylor expanded in x around 0
Applied rewrites18.8%
Applied rewrites26.1%
if 2.5e16 < z Initial program 85.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6485.4
Applied rewrites85.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6485.9
Applied rewrites85.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.8%
Taylor expanded in z around inf
Applied rewrites29.8%
Final simplification27.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))))
(if (<= z 2.5e+16)
(- (+ (+ t_1 1.0) (sqrt (+ 1.0 z))) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(- (+ (pow (+ t_1 (sqrt y)) -1.0) (sqrt (+ 1.0 x))) (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 <= 2.5e+16) {
tmp = ((t_1 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = (pow((t_1 + sqrt(y)), -1.0) + sqrt((1.0 + x))) - 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 <= 2.5d+16) then
tmp = ((t_1 + 1.0d0) + sqrt((1.0d0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x))
else
tmp = (((t_1 + sqrt(y)) ** (-1.0d0)) + sqrt((1.0d0 + x))) - 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 <= 2.5e+16) {
tmp = ((t_1 + 1.0) + Math.sqrt((1.0 + z))) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x));
} else {
tmp = (Math.pow((t_1 + Math.sqrt(y)), -1.0) + Math.sqrt((1.0 + x))) - 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 <= 2.5e+16: tmp = ((t_1 + 1.0) + math.sqrt((1.0 + z))) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x)) else: tmp = (math.pow((t_1 + math.sqrt(y)), -1.0) + math.sqrt((1.0 + x))) - 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 <= 2.5e+16) tmp = Float64(Float64(Float64(t_1 + 1.0) + sqrt(Float64(1.0 + z))) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(Float64((Float64(t_1 + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - 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 <= 2.5e+16)
tmp = ((t_1 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
else
tmp = (((t_1 + sqrt(y)) ^ -1.0) + sqrt((1.0 + x))) - 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, 2.5e+16], 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[(N[Power[N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
\mathbf{if}\;z \leq 2.5 \cdot 10^{+16}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + \sqrt{1 + z}\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left({\left(t\_1 + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}\\
\end{array}
\end{array}
if z < 2.5e16Initial program 96.2%
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.f6420.9
Applied rewrites20.9%
Taylor expanded in x around 0
Applied rewrites18.8%
if 2.5e16 < z Initial program 85.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6485.4
Applied rewrites85.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6485.9
Applied rewrites85.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.8%
Taylor expanded in z around inf
Applied rewrites29.8%
Final simplification23.7%
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 4.5e+15)
(- (+ 1.0 (+ t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))) (+ (sqrt y) (sqrt x)))
(- (+ (pow (+ t_1 (sqrt y)) -1.0) (sqrt (+ 1.0 x))) (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 <= 4.5e+15) {
tmp = (1.0 + (t_1 + (sqrt((1.0 + z)) - sqrt(z)))) - (sqrt(y) + sqrt(x));
} else {
tmp = (pow((t_1 + sqrt(y)), -1.0) + sqrt((1.0 + x))) - 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 <= 4.5d+15) then
tmp = (1.0d0 + (t_1 + (sqrt((1.0d0 + z)) - sqrt(z)))) - (sqrt(y) + sqrt(x))
else
tmp = (((t_1 + sqrt(y)) ** (-1.0d0)) + sqrt((1.0d0 + x))) - 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 <= 4.5e+15) {
tmp = (1.0 + (t_1 + (Math.sqrt((1.0 + z)) - Math.sqrt(z)))) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (Math.pow((t_1 + Math.sqrt(y)), -1.0) + Math.sqrt((1.0 + x))) - 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 <= 4.5e+15: tmp = (1.0 + (t_1 + (math.sqrt((1.0 + z)) - math.sqrt(z)))) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (math.pow((t_1 + math.sqrt(y)), -1.0) + math.sqrt((1.0 + x))) - 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 <= 4.5e+15) tmp = Float64(Float64(1.0 + Float64(t_1 + Float64(sqrt(Float64(1.0 + z)) - sqrt(z)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64((Float64(t_1 + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - 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 <= 4.5e+15)
tmp = (1.0 + (t_1 + (sqrt((1.0 + z)) - sqrt(z)))) - (sqrt(y) + sqrt(x));
else
tmp = (((t_1 + sqrt(y)) ^ -1.0) + sqrt((1.0 + x))) - 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, 4.5e+15], N[(N[(1.0 + N[(t$95$1 + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
\mathbf{if}\;z \leq 4.5 \cdot 10^{+15}:\\
\;\;\;\;\left(1 + \left(t\_1 + \left(\sqrt{1 + z} - \sqrt{z}\right)\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left({\left(t\_1 + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}\\
\end{array}
\end{array}
if z < 4.5e15Initial 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.f6420.6
Applied rewrites20.6%
Applied rewrites20.6%
Taylor expanded in x around 0
Applied rewrites18.5%
if 4.5e15 < z Initial program 85.2%
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
+-commutativeN/A
lower-+.f6485.2
Applied rewrites85.2%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6485.7
Applied rewrites85.7%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites30.4%
Taylor expanded in z around inf
Applied rewrites30.1%
Final simplification23.7%
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 3.3e+16)
(+ 1.0 (- (+ (sqrt (+ 1.0 z)) t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))
(- (+ (pow (+ t_1 (sqrt y)) -1.0) (sqrt (+ 1.0 x))) (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 <= 3.3e+16) {
tmp = 1.0 + ((sqrt((1.0 + z)) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
} else {
tmp = (pow((t_1 + sqrt(y)), -1.0) + sqrt((1.0 + x))) - 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 <= 3.3d+16) then
tmp = 1.0d0 + ((sqrt((1.0d0 + z)) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)))
else
tmp = (((t_1 + sqrt(y)) ** (-1.0d0)) + sqrt((1.0d0 + x))) - 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 <= 3.3e+16) {
tmp = 1.0 + ((Math.sqrt((1.0 + z)) + t_1) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x)));
} else {
tmp = (Math.pow((t_1 + Math.sqrt(y)), -1.0) + Math.sqrt((1.0 + x))) - 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 <= 3.3e+16: tmp = 1.0 + ((math.sqrt((1.0 + z)) + t_1) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) else: tmp = (math.pow((t_1 + math.sqrt(y)), -1.0) + math.sqrt((1.0 + x))) - 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 <= 3.3e+16) tmp = Float64(1.0 + Float64(Float64(sqrt(Float64(1.0 + z)) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); else tmp = Float64(Float64((Float64(t_1 + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - 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 <= 3.3e+16)
tmp = 1.0 + ((sqrt((1.0 + z)) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
else
tmp = (((t_1 + sqrt(y)) ^ -1.0) + sqrt((1.0 + x))) - 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, 3.3e+16], N[(1.0 + N[(N[(N[Sqrt[N[(1.0 + z), $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[(N[Power[N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
\mathbf{if}\;z \leq 3.3 \cdot 10^{+16}:\\
\;\;\;\;1 + \left(\left(\sqrt{1 + z} + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left({\left(t\_1 + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}\\
\end{array}
\end{array}
if z < 3.3e16Initial program 96.2%
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.f6420.9
Applied rewrites20.9%
Taylor expanded in z around inf
Applied rewrites1.5%
Taylor expanded in x around 0
Applied rewrites26.5%
if 3.3e16 < z Initial program 85.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6485.4
Applied rewrites85.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6485.9
Applied rewrites85.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.8%
Taylor expanded in z around inf
Applied rewrites29.8%
Final simplification27.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) (sqrt (+ 1.0 x))) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + sqrt((1.0 + x))) - sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((1.0d0 + y)) + sqrt(y)) ** (-1.0d0)) + sqrt((1.0d0 + x))) - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.pow((Math.sqrt((1.0 + y)) + Math.sqrt(y)), -1.0) + Math.sqrt((1.0 + x))) - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.pow((math.sqrt((1.0 + y)) + math.sqrt(y)), -1.0) + math.sqrt((1.0 + x))) - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (((sqrt((1.0 + y)) + sqrt(y)) ^ -1.0) + sqrt((1.0 + x))) - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}
\end{array}
Initial program 91.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6491.9
Applied rewrites91.9%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6492.5
Applied rewrites92.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites33.6%
Taylor expanded in z around inf
Applied rewrites20.8%
Final simplification20.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x))))
(if (<= y 2850000.0)
(- (+ (sqrt (+ 1.0 y)) t_1) (+ (sqrt y) (sqrt x)))
(- (fma (sqrt (pow y -1.0)) 0.5 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((1.0 + x));
double tmp;
if (y <= 2850000.0) {
tmp = (sqrt((1.0 + y)) + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = fma(sqrt(pow(y, -1.0)), 0.5, t_1) - sqrt(x);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (y <= 2850000.0) tmp = Float64(Float64(sqrt(Float64(1.0 + y)) + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(fma(sqrt((y ^ -1.0)), 0.5, t_1) - sqrt(x)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 2850000.0], N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
\mathbf{if}\;y \leq 2850000:\\
\;\;\;\;\left(\sqrt{1 + y} + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, t\_1\right) - \sqrt{x}\\
\end{array}
\end{array}
if y < 2.85e6Initial program 96.6%
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.f6421.9
Applied rewrites21.9%
Taylor expanded in z around inf
Applied rewrites2.1%
Taylor expanded in z around inf
Applied rewrites20.7%
if 2.85e6 < y Initial program 85.9%
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.f644.3
Applied rewrites4.3%
Taylor expanded in y around inf
Applied rewrites22.3%
Taylor expanded in z around inf
Applied rewrites20.8%
Final simplification20.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (fma (sqrt (pow y -1.0)) 0.5 (sqrt (+ 1.0 x))) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return fma(sqrt(pow(y, -1.0)), 0.5, sqrt((1.0 + x))) - sqrt(x);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(fma(sqrt((y ^ -1.0)), 0.5, sqrt(Float64(1.0 + x))) - sqrt(x)) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, \sqrt{1 + x}\right) - \sqrt{x}
\end{array}
Initial program 91.4%
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.f6413.2
Applied rewrites13.2%
Taylor expanded in y around inf
Applied rewrites13.8%
Taylor expanded in z around inf
Applied rewrites13.4%
Final simplification13.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (/ 0.5 (sqrt y)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 / sqrt(y);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 / sqrt(y)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.5 / Math.sqrt(y);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 / math.sqrt(y)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 / sqrt(y)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 / sqrt(y);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 / N[Sqrt[y], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\frac{0.5}{\sqrt{y}}
\end{array}
Initial program 91.4%
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.f6413.2
Applied rewrites13.2%
Taylor expanded in y around inf
Applied rewrites13.8%
Taylor expanded in y around 0
Applied rewrites8.3%
Applied rewrites8.3%
Final simplification8.3%
(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 2024317
(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))))