
(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 17 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (sqrt (+ t 1.0)))
(t_4 (- t_3 (sqrt t)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ t_2 (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_6 1e-5)
(+ t_4 (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_2))
(if (<= t_6 2.0002)
(+
(-
(+ t_1 (fma (sqrt (/ 1.0 z)) 0.5 (/ 1.0 (+ (sqrt y) t_5))))
(sqrt x))
t_4)
(+ (/ (- (+ t 1.0) t) (+ (sqrt t) t_3)) t_6)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((t + 1.0));
double t_4 = t_3 - sqrt(t);
double t_5 = sqrt((y + 1.0));
double t_6 = t_2 + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 1e-5) {
tmp = t_4 + (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_2);
} else if (t_6 <= 2.0002) {
tmp = ((t_1 + fma(sqrt((1.0 / z)), 0.5, (1.0 / (sqrt(y) + t_5)))) - sqrt(x)) + t_4;
} else {
tmp = (((t + 1.0) - t) / (sqrt(t) + t_3)) + t_6;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = sqrt(Float64(t + 1.0)) t_4 = Float64(t_3 - sqrt(t)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(t_2 + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 1e-5) tmp = Float64(t_4 + Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_2)); elseif (t_6 <= 2.0002) tmp = Float64(Float64(Float64(t_1 + fma(sqrt(Float64(1.0 / z)), 0.5, Float64(1.0 / Float64(sqrt(y) + t_5)))) - sqrt(x)) + t_4); else tmp = Float64(Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_3)) + t_6); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1e-5], N[(t$95$4 + N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(N[(N[(t$95$1 + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{t + 1}\\
t_4 := t\_3 - \sqrt{t}\\
t_5 := \sqrt{y + 1}\\
t_6 := t\_2 + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 10^{-5}:\\
\;\;\;\;t\_4 + \left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_2\right)\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;\left(\left(t\_1 + \mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \frac{1}{\sqrt{y} + t\_5}\right)\right) - \sqrt{x}\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(t + 1\right) - t}{\sqrt{t} + t\_3} + t\_6\\
\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))) < 1.00000000000000008e-5Initial program 55.0%
Taylor expanded in y 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.f6463.9
Applied rewrites63.9%
Taylor expanded in x around inf
Applied rewrites71.2%
if 1.00000000000000008e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 96.7%
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
+-commutativeN/A
lower-+.f6496.9
Applied rewrites96.9%
Taylor expanded in z around inf
lower--.f64N/A
Applied rewrites44.2%
if 2.00019999999999998 < (+.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 98.9%
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-+.f6499.5
Applied rewrites99.5%
Final simplification53.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ t 1.0)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (sqrt (+ z 1.0)))
(t_5 (- t_4 (sqrt z)))
(t_6
(+ (- t_2 (sqrt t)) (+ t_5 (+ (- t_1 (sqrt y)) (- t_3 (sqrt x)))))))
(if (<= t_6 1.0001)
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) t_3) (sqrt x))
(if (<= t_6 3.0)
(+ (+ (- t_5 (+ (sqrt y) (sqrt x))) 1.0) t_1)
(+
(- (+ t_2 t_4) (+ (+ (+ (sqrt z) (sqrt y)) (sqrt x)) (sqrt t)))
2.0)))))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((t + 1.0));
double t_3 = sqrt((1.0 + x));
double t_4 = sqrt((z + 1.0));
double t_5 = t_4 - sqrt(z);
double t_6 = (t_2 - sqrt(t)) + (t_5 + ((t_1 - sqrt(y)) + (t_3 - sqrt(x))));
double tmp;
if (t_6 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), t_3) - sqrt(x);
} else if (t_6 <= 3.0) {
tmp = ((t_5 - (sqrt(y) + sqrt(x))) + 1.0) + t_1;
} else {
tmp = ((t_2 + t_4) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 2.0;
}
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(t + 1.0)) t_3 = sqrt(Float64(1.0 + x)) t_4 = sqrt(Float64(z + 1.0)) t_5 = Float64(t_4 - sqrt(z)) t_6 = Float64(Float64(t_2 - sqrt(t)) + Float64(t_5 + Float64(Float64(t_1 - sqrt(y)) + Float64(t_3 - sqrt(x))))) tmp = 0.0 if (t_6 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), t_3) - sqrt(x)); elseif (t_6 <= 3.0) tmp = Float64(Float64(Float64(t_5 - Float64(sqrt(y) + sqrt(x))) + 1.0) + t_1); else tmp = Float64(Float64(Float64(t_2 + t_4) - Float64(Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 2.0); 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 3.0], N[(N[(N[(t$95$5 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$4), $MachinePrecision] - N[(N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $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{t + 1}\\
t_3 := \sqrt{1 + x}\\
t_4 := \sqrt{z + 1}\\
t_5 := t\_4 - \sqrt{z}\\
t_6 := \left(t\_2 - \sqrt{t}\right) + \left(t\_5 + \left(\left(t\_1 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right)\right)\\
\mathbf{if}\;t\_6 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_6 \leq 3:\\
\;\;\;\;\left(\left(t\_5 - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_4\right) - \left(\left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right) + \sqrt{t}\right)\right) + 2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.00009999999999999Initial program 80.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites8.8%
Taylor expanded in y around inf
Applied rewrites33.1%
if 1.00009999999999999 < (+.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))) < 3Initial program 98.7%
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.f6414.7
Applied rewrites14.7%
Taylor expanded in x around 0
Applied rewrites22.3%
Applied rewrites22.5%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 96.4%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6490.6
Applied rewrites90.6%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites90.6%
Taylor expanded in y around 0
Applied rewrites88.4%
Final simplification29.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (- t_4 (sqrt t)))
(t_6 (sqrt (+ y 1.0)))
(t_7 (+ t_3 (+ (- t_6 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_7 1e-5)
(+ t_5 (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_3))
(if (<= t_7 2.0002)
(+
(-
(+ t_1 (fma (sqrt (/ 1.0 z)) 0.5 (/ 1.0 (+ (sqrt y) t_6))))
(sqrt x))
t_5)
(+
(- (+ (+ (fma 0.5 x 1.0) t_6) t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(/ (- (+ t 1.0) t) (+ (sqrt t) t_4)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((t + 1.0));
double t_5 = t_4 - sqrt(t);
double t_6 = sqrt((y + 1.0));
double t_7 = t_3 + ((t_6 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_7 <= 1e-5) {
tmp = t_5 + (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_3);
} else if (t_7 <= 2.0002) {
tmp = ((t_1 + fma(sqrt((1.0 / z)), 0.5, (1.0 / (sqrt(y) + t_6)))) - sqrt(x)) + t_5;
} else {
tmp = (((fma(0.5, x, 1.0) + t_6) + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + (((t + 1.0) - t) / (sqrt(t) + t_4));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(t + 1.0)) t_5 = Float64(t_4 - sqrt(t)) t_6 = sqrt(Float64(y + 1.0)) t_7 = Float64(t_3 + Float64(Float64(t_6 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_7 <= 1e-5) tmp = Float64(t_5 + Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_3)); elseif (t_7 <= 2.0002) tmp = Float64(Float64(Float64(t_1 + fma(sqrt(Float64(1.0 / z)), 0.5, Float64(1.0 / Float64(sqrt(y) + t_6)))) - sqrt(x)) + t_5); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_6) + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_4))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(t$95$3 + N[(N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 1e-5], N[(t$95$5 + N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 2.0002], N[(N[(N[(t$95$1 + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$6), $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] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{t + 1}\\
t_5 := t\_4 - \sqrt{t}\\
t_6 := \sqrt{y + 1}\\
t_7 := t\_3 + \left(\left(t\_6 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_7 \leq 10^{-5}:\\
\;\;\;\;t\_5 + \left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_3\right)\\
\mathbf{elif}\;t\_7 \leq 2.0002:\\
\;\;\;\;\left(\left(t\_1 + \mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \frac{1}{\sqrt{y} + t\_6}\right)\right) - \sqrt{x}\right) + t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_6\right) + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_4}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000008e-5Initial program 55.0%
Taylor expanded in y 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.f6463.9
Applied rewrites63.9%
Taylor expanded in x around inf
Applied rewrites71.2%
if 1.00000000000000008e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 96.7%
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
+-commutativeN/A
lower-+.f6496.9
Applied rewrites96.9%
Taylor expanded in z around inf
lower--.f64N/A
Applied rewrites44.2%
if 2.00019999999999998 < (+.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 98.9%
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 rewrites96.1%
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-+.f6496.7
Applied rewrites96.7%
Final simplification53.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (- t_4 (sqrt y)))
(t_6 (+ t_2 (+ t_5 (- t_1 (sqrt x))))))
(if (<= t_6 1e-5)
(+ t_3 (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_2))
(if (<= t_6 2.0002)
(+
(-
(+ t_1 (fma (sqrt (/ 1.0 z)) 0.5 (/ 1.0 (+ (sqrt y) t_4))))
(sqrt x))
t_3)
(+ (+ (+ (fma 0.5 x (- 1.0 (sqrt x))) t_5) t_2) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = t_4 - sqrt(y);
double t_6 = t_2 + (t_5 + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 1e-5) {
tmp = t_3 + (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_2);
} else if (t_6 <= 2.0002) {
tmp = ((t_1 + fma(sqrt((1.0 / z)), 0.5, (1.0 / (sqrt(y) + t_4)))) - sqrt(x)) + t_3;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + t_5) + t_2) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(t_4 - sqrt(y)) t_6 = Float64(t_2 + Float64(t_5 + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 1e-5) tmp = Float64(t_3 + Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_2)); elseif (t_6 <= 2.0002) tmp = Float64(Float64(Float64(t_1 + fma(sqrt(Float64(1.0 / z)), 0.5, Float64(1.0 / Float64(sqrt(y) + t_4)))) - sqrt(x)) + t_3); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_5) + t_2) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 + N[(t$95$5 + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1e-5], N[(t$95$3 + N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(N[(N[(t$95$1 + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := t\_4 - \sqrt{y}\\
t_6 := t\_2 + \left(t\_5 + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 10^{-5}:\\
\;\;\;\;t\_3 + \left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_2\right)\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;\left(\left(t\_1 + \mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \frac{1}{\sqrt{y} + t\_4}\right)\right) - \sqrt{x}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_5\right) + t\_2\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000008e-5Initial program 55.0%
Taylor expanded in y 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.f6463.9
Applied rewrites63.9%
Taylor expanded in x around inf
Applied rewrites71.2%
if 1.00000000000000008e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 96.7%
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
+-commutativeN/A
lower-+.f6496.9
Applied rewrites96.9%
Taylor expanded in z around inf
lower--.f64N/A
Applied rewrites44.2%
if 2.00019999999999998 < (+.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 98.9%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6496.1
Applied rewrites96.1%
Final simplification53.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (- t_4 (sqrt y)))
(t_6 (+ t_2 (+ t_5 (- t_1 (sqrt x))))))
(if (<= t_6 1e-5)
(+ t_3 (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_2))
(if (<= t_6 1.9998)
(+ (- (+ t_1 (/ 1.0 (+ (sqrt y) t_4))) (sqrt x)) t_3)
(+ (+ (+ (fma 0.5 x (- 1.0 (sqrt x))) t_5) t_2) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = t_4 - sqrt(y);
double t_6 = t_2 + (t_5 + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 1e-5) {
tmp = t_3 + (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_2);
} else if (t_6 <= 1.9998) {
tmp = ((t_1 + (1.0 / (sqrt(y) + t_4))) - sqrt(x)) + t_3;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + t_5) + t_2) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(t_4 - sqrt(y)) t_6 = Float64(t_2 + Float64(t_5 + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 1e-5) tmp = Float64(t_3 + Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_2)); elseif (t_6 <= 1.9998) tmp = Float64(Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(y) + t_4))) - sqrt(x)) + t_3); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_5) + t_2) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 + N[(t$95$5 + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1e-5], N[(t$95$3 + N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.9998], N[(N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := t\_4 - \sqrt{y}\\
t_6 := t\_2 + \left(t\_5 + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 10^{-5}:\\
\;\;\;\;t\_3 + \left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_2\right)\\
\mathbf{elif}\;t\_6 \leq 1.9998:\\
\;\;\;\;\left(\left(t\_1 + \frac{1}{\sqrt{y} + t\_4}\right) - \sqrt{x}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_5\right) + t\_2\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000008e-5Initial program 55.0%
Taylor expanded in y 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.f6463.9
Applied rewrites63.9%
Taylor expanded in x around inf
Applied rewrites71.2%
if 1.00000000000000008e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.9998Initial program 94.7%
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
+-commutativeN/A
lower-+.f6495.1
Applied rewrites95.1%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/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.f6447.6
Applied rewrites47.6%
if 1.9998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6480.5
Applied rewrites80.5%
Final simplification65.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_4 1.0001)
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) t_1) (sqrt x))
(if (<= t_4 2.99999998)
(- (+ (+ (/ 1.0 (+ (sqrt z) t_2)) t_3) t_1) (+ (sqrt y) (sqrt x)))
(+
(- (+ (fma 0.5 x t_2) 2.0) (+ (+ (sqrt z) (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 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), t_1) - sqrt(x);
} else if (t_4 <= 2.99999998) {
tmp = (((1.0 / (sqrt(z) + t_2)) + t_3) + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = ((fma(0.5, x, t_2) + 2.0) - ((sqrt(z) + 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 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), t_1) - sqrt(x)); elseif (t_4 <= 2.99999998) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_2)) + t_3) + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(fma(0.5, x, t_2) + 2.0) - Float64(Float64(sqrt(z) + 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[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.99999998], N[(N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$2), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(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 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.99999998:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{z} + t\_2} + t\_3\right) + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_2\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\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))) < 1.00009999999999999Initial program 86.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites7.3%
Taylor expanded in y around inf
Applied rewrites24.2%
if 1.00009999999999999 < (+.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))) < 2.9999999800000001Initial program 98.9%
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-+.f6499.2
Applied rewrites99.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites23.3%
if 2.9999999800000001 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.1%
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 rewrites99.2%
Taylor expanded in y around 0
Applied rewrites99.2%
Final simplification30.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_4 1.0001)
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) t_1) (sqrt x))
(if (<= t_4 2.0002)
(+ (- (+ t_1 t_3) (+ (sqrt y) (sqrt x))) (/ 0.5 (sqrt z)))
(+
(- (+ (fma 0.5 x t_2) 2.0) (+ (+ (sqrt z) (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 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), t_1) - sqrt(x);
} else if (t_4 <= 2.0002) {
tmp = ((t_1 + t_3) - (sqrt(y) + sqrt(x))) + (0.5 / sqrt(z));
} else {
tmp = ((fma(0.5, x, t_2) + 2.0) - ((sqrt(z) + 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 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), t_1) - sqrt(x)); elseif (t_4 <= 2.0002) tmp = Float64(Float64(Float64(t_1 + t_3) - Float64(sqrt(y) + sqrt(x))) + Float64(0.5 / sqrt(z))); else tmp = Float64(Float64(Float64(fma(0.5, x, t_2) + 2.0) - Float64(Float64(sqrt(z) + 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[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0002], N[(N[(N[(t$95$1 + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$2), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(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 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.0002:\\
\;\;\;\;\left(\left(t\_1 + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + \frac{0.5}{\sqrt{z}}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_2\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\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))) < 1.00009999999999999Initial program 86.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites7.3%
Taylor expanded in y around inf
Applied rewrites24.2%
if 1.00009999999999999 < (+.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))) < 2.00019999999999998Initial program 99.0%
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.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites20.1%
Applied rewrites21.6%
if 2.00019999999999998 < (+.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 98.9%
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 rewrites96.1%
Taylor expanded in y around 0
Applied rewrites93.5%
Final simplification31.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0))) (t_2 (sqrt (+ y 1.0))))
(if (<=
(+ (- t_1 (sqrt z)) (+ (- t_2 (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x))))
2.0002)
(+ (- (fma (sqrt (/ 1.0 z)) 0.5 t_2) (+ (sqrt y) (sqrt x))) 1.0)
(- (+ (fma 0.5 y t_1) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((y + 1.0));
double tmp;
if (((t_1 - sqrt(z)) + ((t_2 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x)))) <= 2.0002) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_2) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = (fma(0.5, y, t_1) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(Float64(t_1 - sqrt(z)) + Float64(Float64(t_2 - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x)))) <= 2.0002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_2) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(fma(0.5, y, t_1) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0002], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(0.5 * y + t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{y + 1}\\
\mathbf{if}\;\left(t\_1 - \sqrt{z}\right) + \left(\left(t\_2 - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\right) \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, y, t\_1\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \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))) < 2.00019999999999998Initial program 91.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.8
Applied rewrites3.8%
Taylor expanded in z around inf
Applied rewrites12.8%
Taylor expanded in x around 0
Applied rewrites22.4%
if 2.00019999999999998 < (+.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 98.9%
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.f6468.5
Applied rewrites68.5%
Taylor expanded in x around 0
Applied rewrites64.7%
Taylor expanded in y around 0
Applied rewrites64.4%
Final simplification27.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))) (t_2 (sqrt (+ 1.0 x))))
(if (<= (+ (- t_1 (sqrt y)) (- t_2 (sqrt x))) 1.0)
(- (fma (sqrt (/ 1.0 z)) 0.5 t_2) (sqrt x))
(+ (+ (- (- (sqrt (+ z 1.0)) (sqrt z)) (+ (sqrt y) (sqrt x))) 1.0) t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + x));
double tmp;
if (((t_1 - sqrt(y)) + (t_2 - sqrt(x))) <= 1.0) {
tmp = fma(sqrt((1.0 / z)), 0.5, t_2) - sqrt(x);
} else {
tmp = (((sqrt((z + 1.0)) - sqrt(z)) - (sqrt(y) + sqrt(x))) + 1.0) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x))) <= 1.0) tmp = Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_2) - sqrt(x)); else tmp = Float64(Float64(Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x))) + 1.0) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0], N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + x}\\
\mathbf{if}\;\left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right) \leq 1:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_2\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\sqrt{z + 1} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\right) + t\_1\\
\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))) < 1Initial program 90.7%
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.f643.7
Applied rewrites3.7%
Taylor expanded in z around inf
Applied rewrites5.7%
Taylor expanded in y around inf
Applied rewrites17.2%
if 1 < (+.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 98.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.7
Applied rewrites32.7%
Taylor expanded in x around 0
Applied rewrites39.5%
Applied rewrites54.2%
Final simplification27.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))))
(if (<= (- t_1 (sqrt y)) 4e-5)
(-
(fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) (sqrt (+ 1.0 x)))
(sqrt x))
(+ (+ (- (- (sqrt (+ z 1.0)) (sqrt z)) (+ (sqrt y) (sqrt x))) 1.0) t_1))))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 tmp;
if ((t_1 - sqrt(y)) <= 4e-5) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), sqrt((1.0 + x))) - sqrt(x);
} else {
tmp = (((sqrt((z + 1.0)) - sqrt(z)) - (sqrt(y) + sqrt(x))) + 1.0) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(t_1 - sqrt(y)) <= 4e-5) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), sqrt(Float64(1.0 + x))) - sqrt(x)); else tmp = Float64(Float64(Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x))) + 1.0) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 4e-5], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
\mathbf{if}\;t\_1 - \sqrt{y} \leq 4 \cdot 10^{-5}:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, \sqrt{1 + x}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\sqrt{z + 1} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\right) + t\_1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 4.00000000000000033e-5Initial program 87.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.3
Applied rewrites3.3%
Taylor expanded in z around inf
Applied rewrites5.2%
Taylor expanded in y around inf
Applied rewrites24.1%
if 4.00000000000000033e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.7%
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.f6419.9
Applied rewrites19.9%
Taylor expanded in x around 0
Applied rewrites28.9%
Applied rewrites29.5%
Final simplification26.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))) (t_2 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= z 4.5e+25)
(+
(+ (+ (- 1.0 (sqrt x)) (- t_1 (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z)))
t_2)
(+ (- (+ (sqrt (+ 1.0 x)) (/ 1.0 (+ (sqrt y) t_1))) (sqrt x)) t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (z <= 4.5e+25) {
tmp = (((1.0 - sqrt(x)) + (t_1 - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + t_2;
} else {
tmp = ((sqrt((1.0 + x)) + (1.0 / (sqrt(y) + t_1))) - sqrt(x)) + t_2;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((t + 1.0d0)) - sqrt(t)
if (z <= 4.5d+25) then
tmp = (((1.0d0 - sqrt(x)) + (t_1 - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + t_2
else
tmp = ((sqrt((1.0d0 + x)) + (1.0d0 / (sqrt(y) + t_1))) - sqrt(x)) + t_2
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (z <= 4.5e+25) {
tmp = (((1.0 - Math.sqrt(x)) + (t_1 - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + t_2;
} else {
tmp = ((Math.sqrt((1.0 + x)) + (1.0 / (Math.sqrt(y) + t_1))) - Math.sqrt(x)) + t_2;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if z <= 4.5e+25: tmp = (((1.0 - math.sqrt(x)) + (t_1 - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + t_2 else: tmp = ((math.sqrt((1.0 + x)) + (1.0 / (math.sqrt(y) + t_1))) - math.sqrt(x)) + t_2 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (z <= 4.5e+25) tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + t_2); else tmp = Float64(Float64(Float64(sqrt(Float64(1.0 + x)) + Float64(1.0 / Float64(sqrt(y) + t_1))) - sqrt(x)) + t_2); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (z <= 4.5e+25)
tmp = (((1.0 - sqrt(x)) + (t_1 - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + t_2;
else
tmp = ((sqrt((1.0 + x)) + (1.0 / (sqrt(y) + t_1))) - sqrt(x)) + t_2;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 4.5e+25], N[(N[(N[(N[(1.0 - 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] + t$95$2), $MachinePrecision], N[(N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $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{t + 1} - \sqrt{t}\\
\mathbf{if}\;z \leq 4.5 \cdot 10^{+25}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\sqrt{1 + x} + \frac{1}{\sqrt{y} + t\_1}\right) - \sqrt{x}\right) + t\_2\\
\end{array}
\end{array}
if z < 4.5000000000000003e25Initial program 97.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6452.9
Applied rewrites52.9%
if 4.5000000000000003e25 < z Initial program 88.4%
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-+.f6488.8
Applied rewrites88.8%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/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.f6470.7
Applied rewrites70.7%
Final simplification62.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= z 2.4e+23)
(+
(-
(+ (fma 0.5 x (sqrt (+ z 1.0))) 2.0)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
t_1)
(+
(- (+ (sqrt (+ 1.0 x)) (/ 1.0 (+ (sqrt y) (sqrt (+ y 1.0))))) (sqrt x))
t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (z <= 2.4e+23) {
tmp = ((fma(0.5, x, sqrt((z + 1.0))) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + t_1;
} else {
tmp = ((sqrt((1.0 + x)) + (1.0 / (sqrt(y) + sqrt((y + 1.0))))) - sqrt(x)) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (z <= 2.4e+23) tmp = Float64(Float64(Float64(fma(0.5, x, sqrt(Float64(z + 1.0))) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + t_1); else tmp = Float64(Float64(Float64(sqrt(Float64(1.0 + x)) + Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(y + 1.0))))) - sqrt(x)) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 2.4e+23], N[(N[(N[(N[(0.5 * x + N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $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}\\
\mathbf{if}\;z \leq 2.4 \cdot 10^{+23}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, \sqrt{z + 1}\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\sqrt{1 + x} + \frac{1}{\sqrt{y} + \sqrt{y + 1}}\right) - \sqrt{x}\right) + t\_1\\
\end{array}
\end{array}
if z < 2.4e23Initial program 97.2%
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 rewrites29.8%
Taylor expanded in y around 0
Applied rewrites25.4%
if 2.4e23 < z Initial program 88.4%
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-+.f6488.7
Applied rewrites88.7%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/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.f6470.3
Applied rewrites70.3%
Final simplification48.4%
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 (+ z 1.0))))
(if (<= (- t_1 (sqrt z)) 0.0)
(+ (- (sqrt (+ y 1.0)) (+ (sqrt y) (sqrt x))) 1.0)
(- (+ (fma 0.5 y t_1) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double tmp;
if ((t_1 - sqrt(z)) <= 0.0) {
tmp = (sqrt((y + 1.0)) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = (fma(0.5, y, t_1) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) tmp = 0.0 if (Float64(t_1 - sqrt(z)) <= 0.0) tmp = Float64(Float64(sqrt(Float64(y + 1.0)) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(fma(0.5, y, t_1) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(0.5 * y + t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
\mathbf{if}\;t\_1 - \sqrt{z} \leq 0:\\
\;\;\;\;\left(\sqrt{y + 1} - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, y, t\_1\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 88.1%
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.f643.3
Applied rewrites3.3%
Taylor expanded in x around 0
Applied rewrites37.0%
Taylor expanded in z around inf
Applied rewrites33.1%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.2
Applied rewrites20.2%
Taylor expanded in x around 0
Applied rewrites26.2%
Taylor expanded in y around 0
Applied rewrites18.5%
Final simplification26.1%
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 (+ z 1.0))))
(if (<= (- t_1 (sqrt z)) 0.0)
(+ (- (sqrt (+ y 1.0)) (+ (sqrt y) (sqrt x))) 1.0)
(- (+ 2.0 t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double tmp;
if ((t_1 - sqrt(z)) <= 0.0) {
tmp = (sqrt((y + 1.0)) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = (2.0 + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
if ((t_1 - sqrt(z)) <= 0.0d0) then
tmp = (sqrt((y + 1.0d0)) - (sqrt(y) + sqrt(x))) + 1.0d0
else
tmp = (2.0d0 + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double tmp;
if ((t_1 - Math.sqrt(z)) <= 0.0) {
tmp = (Math.sqrt((y + 1.0)) - (Math.sqrt(y) + Math.sqrt(x))) + 1.0;
} else {
tmp = (2.0 + t_1) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) tmp = 0 if (t_1 - math.sqrt(z)) <= 0.0: tmp = (math.sqrt((y + 1.0)) - (math.sqrt(y) + math.sqrt(x))) + 1.0 else: tmp = (2.0 + t_1) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) tmp = 0.0 if (Float64(t_1 - sqrt(z)) <= 0.0) tmp = Float64(Float64(sqrt(Float64(y + 1.0)) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(2.0 + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
tmp = 0.0;
if ((t_1 - sqrt(z)) <= 0.0)
tmp = (sqrt((y + 1.0)) - (sqrt(y) + sqrt(x))) + 1.0;
else
tmp = (2.0 + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(2.0 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
\mathbf{if}\;t\_1 - \sqrt{z} \leq 0:\\
\;\;\;\;\left(\sqrt{y + 1} - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(2 + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 88.1%
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.f643.3
Applied rewrites3.3%
Taylor expanded in x around 0
Applied rewrites37.0%
Taylor expanded in z around inf
Applied rewrites33.1%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.2
Applied rewrites20.2%
Taylor expanded in x around 0
Applied rewrites26.2%
Taylor expanded in y around 0
Applied rewrites16.5%
Final simplification25.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt (+ y 1.0)) (+ (sqrt y) (sqrt x))) 1.0))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((y + 1.0)) - (sqrt(y) + sqrt(x))) + 1.0;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt((y + 1.0d0)) - (sqrt(y) + sqrt(x))) + 1.0d0
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt((y + 1.0)) - (Math.sqrt(y) + Math.sqrt(x))) + 1.0;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt((y + 1.0)) - (math.sqrt(y) + math.sqrt(x))) + 1.0
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(y + 1.0)) - Float64(sqrt(y) + sqrt(x))) + 1.0) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((y + 1.0)) - (sqrt(y) + sqrt(x))) + 1.0;
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[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{y + 1} - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1
\end{array}
Initial program 92.7%
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.f6411.4
Applied rewrites11.4%
Taylor expanded in x around 0
Applied rewrites31.8%
Taylor expanded in z around inf
Applied rewrites24.5%
Final simplification24.5%
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 z)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 / sqrt(z);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 / sqrt(z)
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(z);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 / math.sqrt(z)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 / sqrt(z)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 / sqrt(z);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\frac{0.5}{\sqrt{z}}
\end{array}
Initial program 92.7%
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.f6411.4
Applied rewrites11.4%
Taylor expanded in z around inf
Applied rewrites12.5%
Taylor expanded in z around 0
Applied rewrites7.4%
Applied rewrites7.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(-sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -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[Sqrt[x], $MachinePrecision])
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
-\sqrt{x}
\end{array}
Initial program 92.7%
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.f6411.4
Applied rewrites11.4%
Taylor expanded in x around 0
Applied rewrites31.8%
Taylor expanded in x around inf
Applied rewrites1.6%
(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 2024331
(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))))