
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 22 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ x 1.0))))
(if (<= t_2 1e-5)
(+
t_3
(+ (- t_1 (sqrt z)) (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ t_4 (sqrt x))))))
(+
(+ (/ (- (+ z 1.0) z) (+ (sqrt z) t_1)) (+ (- t_4 (sqrt x)) t_2))
t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((1.0 + y)) - sqrt(y);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((x + 1.0));
double tmp;
if (t_2 <= 1e-5) {
tmp = t_3 + ((t_1 - sqrt(z)) + fma(sqrt((1.0 / y)), 0.5, (1.0 / (t_4 + sqrt(x)))));
} else {
tmp = ((((z + 1.0) - z) / (sqrt(z) + t_1)) + ((t_4 - sqrt(x)) + 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(z + 1.0)) t_2 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (t_2 <= 1e-5) tmp = Float64(t_3 + Float64(Float64(t_1 - sqrt(z)) + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(t_4 + sqrt(x)))))); else tmp = Float64(Float64(Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1)) + Float64(Float64(t_4 - sqrt(x)) + 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[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $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]}, If[LessEqual[t$95$2, 1e-5], N[(t$95$3 + N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{1 + y} - \sqrt{y}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{x + 1}\\
\mathbf{if}\;t\_2 \leq 10^{-5}:\\
\;\;\;\;t\_3 + \left(\left(t\_1 - \sqrt{z}\right) + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{t\_4 + \sqrt{x}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1} + \left(\left(t\_4 - \sqrt{x}\right) + t\_2\right)\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 1.00000000000000008e-5Initial program 87.8%
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.f6490.3
Applied rewrites90.3%
Applied rewrites92.7%
if 1.00000000000000008e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.4
Applied rewrites97.4%
Final simplification95.1%
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)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_3 (sqrt x)) (- t_4 (sqrt y))) t_2)))
(if (<= t_5 0.0)
(+ (fma (sqrt (/ 1.0 x)) 0.5 (/ 1.0 (+ t_4 (sqrt y)))) t_1)
(if (<= t_5 1.00005)
(+ (- (fma (sqrt (/ 1.0 y)) 0.5 t_3) (sqrt x)) t_1)
(if (<= t_5 2.005)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_3) (+ (sqrt x) (sqrt y)))
(+ (+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_2) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_3 - sqrt(x)) + (t_4 - sqrt(y))) + t_2;
double tmp;
if (t_5 <= 0.0) {
tmp = fma(sqrt((1.0 / x)), 0.5, (1.0 / (t_4 + sqrt(y)))) + t_1;
} else if (t_5 <= 1.00005) {
tmp = (fma(sqrt((1.0 / y)), 0.5, t_3) - sqrt(x)) + t_1;
} else if (t_5 <= 2.005) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_3) - (sqrt(x) + sqrt(y));
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_2) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, Float64(1.0 / Float64(t_4 + sqrt(y)))) + t_1); elseif (t_5 <= 1.00005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, t_3) - sqrt(x)) + t_1); elseif (t_5 <= 2.005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_3) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$4 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 1.00005], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 2.005], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, \frac{1}{t\_4 + \sqrt{y}}\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 1.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, t\_3\right) - \sqrt{x}\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 2.005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_3\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 55.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6455.5
Applied rewrites55.5%
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.f6455.5
Applied rewrites55.5%
Taylor expanded in x around inf
Applied rewrites72.8%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 96.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.5
Applied rewrites96.5%
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.f6435.4
Applied rewrites35.4%
Taylor expanded in y around inf
Applied rewrites33.9%
if 1.00005000000000011 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0049999999999999Initial 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.f646.1
Applied rewrites6.1%
Taylor expanded in z around inf
Applied rewrites21.9%
if 2.0049999999999999 < (+.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 99.9%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6497.5
Applied rewrites97.5%
Taylor expanded in y around 0
Applied rewrites96.5%
Final simplification40.1%
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)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_3 (sqrt x)) (- t_4 (sqrt y))) (- t_2 (sqrt z))))
(t_6 (/ 1.0 (+ t_4 (sqrt y)))))
(if (<= t_5 0.0)
(+ (fma (sqrt (/ 1.0 x)) 0.5 t_6) t_1)
(if (<= t_5 2.0)
(+ (- (+ t_3 t_6) (sqrt x)) t_1)
(+ (- (- (+ t_4 t_2) (+ (sqrt x) (sqrt y))) (- (sqrt z) 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((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_3 - sqrt(x)) + (t_4 - sqrt(y))) + (t_2 - sqrt(z));
double t_6 = 1.0 / (t_4 + sqrt(y));
double tmp;
if (t_5 <= 0.0) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_6) + t_1;
} else if (t_5 <= 2.0) {
tmp = ((t_3 + t_6) - sqrt(x)) + t_1;
} else {
tmp = (((t_4 + t_2) - (sqrt(x) + sqrt(y))) - (sqrt(z) - 1.0)) + 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(z + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_2 - sqrt(z))) t_6 = Float64(1.0 / Float64(t_4 + sqrt(y))) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, t_6) + t_1); elseif (t_5 <= 2.0) tmp = Float64(Float64(Float64(t_3 + t_6) - sqrt(x)) + t_1); else tmp = Float64(Float64(Float64(Float64(t_4 + t_2) - Float64(sqrt(x) + sqrt(y))) - Float64(sqrt(z) - 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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(1.0 / N[(t$95$4 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$6), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(N[(t$95$3 + t$95$6), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(t$95$4 + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - 1.0), $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}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\\
t_6 := \frac{1}{t\_4 + \sqrt{y}}\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_6\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(\left(t\_3 + t\_6\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_4 + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\right) - \left(\sqrt{z} - 1\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))) < 0.0Initial program 55.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6455.5
Applied rewrites55.5%
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.f6455.5
Applied rewrites55.5%
Taylor expanded in x around inf
Applied rewrites72.8%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
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.f6439.2
Applied rewrites39.2%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.1%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites90.9%
Final simplification49.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_3 (sqrt x)) (- t_4 (sqrt y))) t_2))
(t_6 (/ 1.0 (+ t_4 (sqrt y)))))
(if (<= t_5 0.0)
(+ (fma (sqrt (/ 1.0 x)) 0.5 t_6) t_1)
(if (<= t_5 2.0)
(+ (- (+ t_3 t_6) (sqrt x)) t_1)
(+ (+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_2) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_3 - sqrt(x)) + (t_4 - sqrt(y))) + t_2;
double t_6 = 1.0 / (t_4 + sqrt(y));
double tmp;
if (t_5 <= 0.0) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_6) + t_1;
} else if (t_5 <= 2.0) {
tmp = ((t_3 + t_6) - sqrt(x)) + t_1;
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_2) t_6 = Float64(1.0 / Float64(t_4 + sqrt(y))) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, t_6) + t_1); elseif (t_5 <= 2.0) tmp = Float64(Float64(Float64(t_3 + t_6) - sqrt(x)) + t_1); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$6 = N[(1.0 / N[(t$95$4 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$6), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(N[(t$95$3 + t$95$6), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_2\\
t_6 := \frac{1}{t\_4 + \sqrt{y}}\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_6\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(\left(t\_3 + t\_6\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 55.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6455.5
Applied rewrites55.5%
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.f6455.5
Applied rewrites55.5%
Taylor expanded in x around inf
Applied rewrites72.8%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
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.f6439.2
Applied rewrites39.2%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6491.7
Applied rewrites91.7%
Taylor expanded in y around 0
Applied rewrites90.7%
Final simplification48.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (+ (+ (- t_2 (sqrt x)) (- t_3 (sqrt y))) t_1))
(t_5 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_4 1.00005)
(+ (- (fma (sqrt (/ 1.0 y)) 0.5 t_2) (sqrt x)) t_5)
(if (<= t_4 2.005)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_3) t_2) (+ (sqrt x) (sqrt y)))
(+ (+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_1) t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + y));
double t_4 = ((t_2 - sqrt(x)) + (t_3 - sqrt(y))) + t_1;
double t_5 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_4 <= 1.00005) {
tmp = (fma(sqrt((1.0 / y)), 0.5, t_2) - sqrt(x)) + t_5;
} else if (t_4 <= 2.005) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_3) + t_2) - (sqrt(x) + sqrt(y));
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_5;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_3 - sqrt(y))) + t_1) t_5 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_4 <= 1.00005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, t_2) - sqrt(x)) + t_5); elseif (t_4 <= 2.005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_3) + t_2) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_5); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.00005], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$4, 2.005], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$5), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + y}\\
t_4 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) + t\_1\\
t_5 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 1.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, t\_2\right) - \sqrt{x}\right) + t\_5\\
\mathbf{elif}\;t\_4 \leq 2.005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_3\right) + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + t\_5\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 87.3%
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-+.f6487.3
Applied rewrites87.3%
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.f6439.9
Applied rewrites39.9%
Taylor expanded in y around inf
Applied rewrites38.8%
if 1.00005000000000011 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0049999999999999Initial 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.f646.1
Applied rewrites6.1%
Taylor expanded in z around inf
Applied rewrites21.9%
if 2.0049999999999999 < (+.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 99.9%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6497.5
Applied rewrites97.5%
Taylor expanded in y around 0
Applied rewrites96.5%
Final simplification38.2%
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 (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (+ (+ (- t_2 (sqrt x)) (- t_3 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_4 1.00005)
(+
(- (fma (sqrt (/ 1.0 y)) 0.5 t_2) (sqrt x))
(- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_4 2.005)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_3) t_2) (+ (sqrt x) (sqrt y)))
(- (+ (+ t_3 1.0) 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 t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + y));
double t_4 = ((t_2 - sqrt(x)) + (t_3 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1.00005) {
tmp = (fma(sqrt((1.0 / y)), 0.5, t_2) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_4 <= 2.005) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_3) + t_2) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_3 + 1.0) + t_1) - ((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(x + 1.0)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_3 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.00005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, t_2) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_4 <= 2.005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_3) + t_2) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_3 + 1.0) + t_1) - 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.00005], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.005], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$3 + 1.0), $MachinePrecision] + 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}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + y}\\
t_4 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, t\_2\right) - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_4 \leq 2.005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_3\right) + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_3 + 1\right) + t\_1\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))) < 1.00005000000000011Initial program 87.3%
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-+.f6487.3
Applied rewrites87.3%
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.f6439.9
Applied rewrites39.9%
Taylor expanded in y around inf
Applied rewrites38.8%
if 1.00005000000000011 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0049999999999999Initial 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.f646.1
Applied rewrites6.1%
Taylor expanded in z around inf
Applied rewrites21.9%
if 2.0049999999999999 < (+.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 99.9%
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.f6463.0
Applied rewrites63.0%
Taylor expanded in x around 0
Applied rewrites60.3%
Final simplification34.3%
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 (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ t_3 (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0)
(+ t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_5 2.005)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_2) (+ (sqrt x) (sqrt y)))
(- (+ (+ t_4 1.0) 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 t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((1.0 + y));
double t_5 = (t_3 + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = t_3 + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_5 <= 2.005) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_2) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_4 + 1.0) + t_1) - ((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(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(t_3 + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(t_3 + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_5 <= 2.005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_2) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_4 + 1.0) + t_1) - 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(t$95$3 + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.005], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + 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}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(t\_3 + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;t\_3 + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2.005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + t\_1\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))) < 1Initial program 87.4%
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-+.f6487.4
Applied rewrites87.4%
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.f6440.2
Applied rewrites40.2%
Taylor expanded in y around inf
Applied rewrites39.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0049999999999999Initial 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.f646.0
Applied rewrites6.0%
Taylor expanded in z around inf
Applied rewrites21.5%
if 2.0049999999999999 < (+.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 99.9%
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.f6463.0
Applied rewrites63.0%
Taylor expanded in x around 0
Applied rewrites60.3%
Final simplification34.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ t_3 (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0)
(+ t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_5 2.0)
(- (+ t_2 t_4) (+ (sqrt x) (sqrt y)))
(- (+ (+ t_4 1.0) 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 t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((1.0 + y));
double t_5 = (t_3 + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = t_3 + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_4 + 1.0) + 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) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = sqrt((x + 1.0d0))
t_3 = t_2 - sqrt(x)
t_4 = sqrt((1.0d0 + y))
t_5 = (t_3 + (t_4 - sqrt(y))) + (t_1 - sqrt(z))
if (t_5 <= 1.0d0) then
tmp = t_3 + (sqrt((t + 1.0d0)) - sqrt(t))
else if (t_5 <= 2.0d0) then
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y))
else
tmp = ((t_4 + 1.0d0) + 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 t_2 = Math.sqrt((x + 1.0));
double t_3 = t_2 - Math.sqrt(x);
double t_4 = Math.sqrt((1.0 + y));
double t_5 = (t_3 + (t_4 - Math.sqrt(y))) + (t_1 - Math.sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = t_3 + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = ((t_4 + 1.0) + 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)) t_2 = math.sqrt((x + 1.0)) t_3 = t_2 - math.sqrt(x) t_4 = math.sqrt((1.0 + y)) t_5 = (t_3 + (t_4 - math.sqrt(y))) + (t_1 - math.sqrt(z)) tmp = 0 if t_5 <= 1.0: tmp = t_3 + (math.sqrt((t + 1.0)) - math.sqrt(t)) elif t_5 <= 2.0: tmp = (t_2 + t_4) - (math.sqrt(x) + math.sqrt(y)) else: tmp = ((t_4 + 1.0) + 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)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(t_3 + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(t_3 + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_5 <= 2.0) tmp = Float64(Float64(t_2 + t_4) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_4 + 1.0) + 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));
t_2 = sqrt((x + 1.0));
t_3 = t_2 - sqrt(x);
t_4 = sqrt((1.0 + y));
t_5 = (t_3 + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
tmp = 0.0;
if (t_5 <= 1.0)
tmp = t_3 + (sqrt((t + 1.0)) - sqrt(t));
elseif (t_5 <= 2.0)
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y));
else
tmp = ((t_4 + 1.0) + 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]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(t$95$3 + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(t$95$2 + t$95$4), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + 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}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(t\_3 + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;t\_3 + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(t\_2 + t\_4\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + t\_1\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))) < 1Initial program 87.4%
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-+.f6487.4
Applied rewrites87.4%
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.f6440.2
Applied rewrites40.2%
Taylor expanded in y around inf
Applied rewrites39.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.2%
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.f645.2
Applied rewrites5.2%
Taylor expanded in z around inf
Applied rewrites21.4%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.1%
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.f6462.2
Applied rewrites62.2%
Taylor expanded in x around 0
Applied rewrites56.4%
Final simplification34.2%
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 (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ t_3 (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0)
(+ t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_5 2.0)
(- (+ t_2 t_4) (+ (sqrt x) (sqrt y)))
(+ (- (+ t_4 t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((1.0 + y));
double t_5 = (t_3 + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = t_3 + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_4 + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = sqrt((x + 1.0d0))
t_3 = t_2 - sqrt(x)
t_4 = sqrt((1.0d0 + y))
t_5 = (t_3 + (t_4 - sqrt(y))) + (t_1 - sqrt(z))
if (t_5 <= 1.0d0) then
tmp = t_3 + (sqrt((t + 1.0d0)) - sqrt(t))
else if (t_5 <= 2.0d0) then
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y))
else
tmp = ((t_4 + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = t_2 - Math.sqrt(x);
double t_4 = Math.sqrt((1.0 + y));
double t_5 = (t_3 + (t_4 - Math.sqrt(y))) + (t_1 - Math.sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = t_3 + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = ((t_4 + t_1) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = math.sqrt((x + 1.0)) t_3 = t_2 - math.sqrt(x) t_4 = math.sqrt((1.0 + y)) t_5 = (t_3 + (t_4 - math.sqrt(y))) + (t_1 - math.sqrt(z)) tmp = 0 if t_5 <= 1.0: tmp = t_3 + (math.sqrt((t + 1.0)) - math.sqrt(t)) elif t_5 <= 2.0: tmp = (t_2 + t_4) - (math.sqrt(x) + math.sqrt(y)) else: tmp = ((t_4 + t_1) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) + 1.0 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(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(t_3 + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(t_3 + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_5 <= 2.0) tmp = Float64(Float64(t_2 + t_4) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_4 + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = sqrt((x + 1.0));
t_3 = t_2 - sqrt(x);
t_4 = sqrt((1.0 + y));
t_5 = (t_3 + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
tmp = 0.0;
if (t_5 <= 1.0)
tmp = t_3 + (sqrt((t + 1.0)) - sqrt(t));
elseif (t_5 <= 2.0)
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y));
else
tmp = ((t_4 + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(t$95$3 + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(t$95$2 + t$95$4), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $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{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(t\_3 + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;t\_3 + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(t\_2 + t\_4\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 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))) < 1Initial program 87.4%
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-+.f6487.4
Applied rewrites87.4%
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.f6440.2
Applied rewrites40.2%
Taylor expanded in y around inf
Applied rewrites39.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.2%
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.f645.2
Applied rewrites5.2%
Taylor expanded in z around inf
Applied rewrites21.4%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.1%
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.f6462.2
Applied rewrites62.2%
Taylor expanded in x around 0
Applied rewrites56.4%
Final simplification34.2%
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 (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (- t_2 (sqrt y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (- t_4 (sqrt x)) t_3))
(t_6 (/ 1.0 (+ t_2 (sqrt y)))))
(if (<= t_5 0.0)
(+ (fma (sqrt (/ 1.0 x)) 0.5 t_6) t_1)
(if (<= t_5 1.5)
(+ (- (+ t_4 t_6) (sqrt x)) t_1)
(+
(+ (+ (fma 0.5 x (- 1.0 (sqrt x))) t_3) (- (sqrt (+ z 1.0)) (sqrt z)))
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 + y));
double t_3 = t_2 - sqrt(y);
double t_4 = sqrt((x + 1.0));
double t_5 = (t_4 - sqrt(x)) + t_3;
double t_6 = 1.0 / (t_2 + sqrt(y));
double tmp;
if (t_5 <= 0.0) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_6) + t_1;
} else if (t_5 <= 1.5) {
tmp = ((t_4 + t_6) - sqrt(x)) + t_1;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + t_3) + (sqrt((z + 1.0)) - sqrt(z))) + 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 + y)) t_3 = Float64(t_2 - sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(t_4 - sqrt(x)) + t_3) t_6 = Float64(1.0 / Float64(t_2 + sqrt(y))) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, t_6) + t_1); elseif (t_5 <= 1.5) tmp = Float64(Float64(Float64(t_4 + t_6) - sqrt(x)) + t_1); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_3) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + 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 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$6 = N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$6), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 1.5], N[(N[(N[(t$95$4 + t$95$6), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $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 + y}\\
t_3 := t\_2 - \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(t\_4 - \sqrt{x}\right) + t\_3\\
t_6 := \frac{1}{t\_2 + \sqrt{y}}\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_6\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 1.5:\\
\;\;\;\;\left(\left(t\_4 + t\_6\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_3\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\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))) < 0.0Initial program 77.2%
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-+.f6477.2
Applied rewrites77.2%
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.f6431.4
Applied rewrites31.4%
Taylor expanded in x around inf
Applied rewrites40.9%
if 0.0 < (+.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))) < 1.5Initial 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-+.f6496.8
Applied rewrites96.8%
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.f6431.7
Applied rewrites31.7%
if 1.5 < (+.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 98.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6497.3
Applied rewrites97.3%
Final simplification49.5%
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 (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (- t_3 (sqrt x)) (- t_2 (sqrt y))))
(t_5 (/ 1.0 (+ t_2 (sqrt y)))))
(if (<= t_4 0.0)
(+ (fma (sqrt (/ 1.0 x)) 0.5 t_5) t_1)
(if (<= t_4 1.5)
(+ (- (+ t_3 t_5) (sqrt x)) t_1)
(+
(+
(- (- (+ t_2 (fma 0.5 x 1.0)) (sqrt y)) (sqrt x))
(- (sqrt (+ z 1.0)) (sqrt z)))
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 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_3 - sqrt(x)) + (t_2 - sqrt(y));
double t_5 = 1.0 / (t_2 + sqrt(y));
double tmp;
if (t_4 <= 0.0) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_5) + t_1;
} else if (t_4 <= 1.5) {
tmp = ((t_3 + t_5) - sqrt(x)) + t_1;
} else {
tmp = ((((t_2 + fma(0.5, x, 1.0)) - sqrt(y)) - sqrt(x)) + (sqrt((z + 1.0)) - sqrt(z))) + 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 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_3 - sqrt(x)) + Float64(t_2 - sqrt(y))) t_5 = Float64(1.0 / Float64(t_2 + sqrt(y))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, t_5) + t_1); elseif (t_4 <= 1.5) tmp = Float64(Float64(Float64(t_3 + t_5) - sqrt(x)) + t_1); else tmp = Float64(Float64(Float64(Float64(Float64(t_2 + fma(0.5, x, 1.0)) - sqrt(y)) - sqrt(x)) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + 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 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$4, 1.5], N[(N[(N[(t$95$3 + t$95$5), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(N[(t$95$2 + N[(0.5 * x + 1.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $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 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_3 - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\\
t_5 := \frac{1}{t\_2 + \sqrt{y}}\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_5\right) + t\_1\\
\mathbf{elif}\;t\_4 \leq 1.5:\\
\;\;\;\;\left(\left(t\_3 + t\_5\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(t\_2 + \mathsf{fma}\left(0.5, x, 1\right)\right) - \sqrt{y}\right) - \sqrt{x}\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\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))) < 0.0Initial program 77.2%
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-+.f6477.2
Applied rewrites77.2%
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.f6431.4
Applied rewrites31.4%
Taylor expanded in x around inf
Applied rewrites40.9%
if 0.0 < (+.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))) < 1.5Initial 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-+.f6496.8
Applied rewrites96.8%
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.f6431.7
Applied rewrites31.7%
if 1.5 < (+.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 98.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6497.2
Applied rewrites97.2%
Final simplification49.5%
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 (+ 1.0 y)))
(t_3 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_2 (sqrt y))))
(t_4 (/ 1.0 (+ t_2 (sqrt y)))))
(if (<= t_3 0.5)
(+ (fma (sqrt (/ 1.0 x)) 0.5 t_4) t_1)
(if (<= t_3 1.9999999)
(+ (- (+ t_4 (fma (fma -0.125 x 0.5) x 1.0)) (sqrt x)) t_1)
(+
(+
(- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x))
(- (sqrt (+ z 1.0)) (sqrt z)))
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 + y));
double t_3 = (sqrt((x + 1.0)) - sqrt(x)) + (t_2 - sqrt(y));
double t_4 = 1.0 / (t_2 + sqrt(y));
double tmp;
if (t_3 <= 0.5) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_4) + t_1;
} else if (t_3 <= 1.9999999) {
tmp = ((t_4 + fma(fma(-0.125, x, 0.5), x, 1.0)) - sqrt(x)) + t_1;
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + (sqrt((z + 1.0)) - sqrt(z))) + 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 + y)) t_3 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_2 - sqrt(y))) t_4 = Float64(1.0 / Float64(t_2 + sqrt(y))) tmp = 0.0 if (t_3 <= 0.5) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, t_4) + t_1); elseif (t_3 <= 1.9999999) tmp = Float64(Float64(Float64(t_4 + fma(fma(-0.125, x, 0.5), x, 1.0)) - sqrt(x)) + t_1); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + 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 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.5], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$3, 1.9999999], N[(N[(N[(t$95$4 + N[(N[(-0.125 * x + 0.5), $MachinePrecision] * x + 1.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $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 + y}\\
t_3 := \left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\\
t_4 := \frac{1}{t\_2 + \sqrt{y}}\\
\mathbf{if}\;t\_3 \leq 0.5:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_4\right) + t\_1\\
\mathbf{elif}\;t\_3 \leq 1.9999999:\\
\;\;\;\;\left(\left(t\_4 + \mathsf{fma}\left(\mathsf{fma}\left(-0.125, x, 0.5\right), x, 1\right)\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\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))) < 0.5Initial program 77.9%
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-+.f6478.0
Applied rewrites78.0%
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.f6430.6
Applied rewrites30.6%
Taylor expanded in x around inf
Applied rewrites40.8%
if 0.5 < (+.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))) < 1.99999989999999994Initial program 97.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
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.f6434.9
Applied rewrites34.9%
Taylor expanded in x around 0
Applied rewrites29.4%
if 1.99999989999999994 < (+.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 99.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
Taylor expanded in y around 0
Applied rewrites98.9%
Final simplification46.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_2 (sqrt y)))))
(if (<= t_3 0.0)
(+ (fma (sqrt (/ 1.0 x)) 0.5 (/ 1.0 (+ t_2 (sqrt y)))) t_1)
(+ (+ t_3 (- (sqrt (+ z 1.0)) (sqrt z))) 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 + y));
double t_3 = (sqrt((x + 1.0)) - sqrt(x)) + (t_2 - sqrt(y));
double tmp;
if (t_3 <= 0.0) {
tmp = fma(sqrt((1.0 / x)), 0.5, (1.0 / (t_2 + sqrt(y)))) + t_1;
} else {
tmp = (t_3 + (sqrt((z + 1.0)) - sqrt(z))) + 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 + y)) t_3 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_2 - sqrt(y))) tmp = 0.0 if (t_3 <= 0.0) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, Float64(1.0 / Float64(t_2 + sqrt(y)))) + t_1); else tmp = Float64(Float64(t_3 + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + 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 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(t$95$3 + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $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 + y}\\
t_3 := \left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\\
\mathbf{if}\;t\_3 \leq 0:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, \frac{1}{t\_2 + \sqrt{y}}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(t\_3 + \left(\sqrt{z + 1} - \sqrt{z}\right)\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))) < 0.0Initial program 77.2%
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-+.f6477.2
Applied rewrites77.2%
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.f6431.4
Applied rewrites31.4%
Taylor expanded in x around inf
Applied rewrites40.9%
if 0.0 < (+.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 97.3%
Final simplification84.1%
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)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= (- t_2 (sqrt y)) 1e-5)
(+
t_3
(+
(- t_1 (sqrt z))
(fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x))))))
(+
(+
(/ (- (+ z 1.0) z) (+ (sqrt z) t_1))
(- (- (+ t_2 (fma 0.5 x 1.0)) (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((z + 1.0));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if ((t_2 - sqrt(y)) <= 1e-5) {
tmp = t_3 + ((t_1 - sqrt(z)) + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt((x + 1.0)) + sqrt(x)))));
} else {
tmp = ((((z + 1.0) - z) / (sqrt(z) + t_1)) + (((t_2 + fma(0.5, x, 1.0)) - 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 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 - sqrt(y)) <= 1e-5) tmp = Float64(t_3 + Float64(Float64(t_1 - sqrt(z)) + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x)))))); else tmp = Float64(Float64(Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1)) + Float64(Float64(Float64(t_2 + fma(0.5, x, 1.0)) - 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[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 1e-5], N[(t$95$3 + N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$2 + N[(0.5 * x + 1.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 - \sqrt{y} \leq 10^{-5}:\\
\;\;\;\;t\_3 + \left(\left(t\_1 - \sqrt{z}\right) + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x + 1} + \sqrt{x}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1} + \left(\left(\left(t\_2 + \mathsf{fma}\left(0.5, x, 1\right)\right) - \sqrt{y}\right) - \sqrt{x}\right)\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 1.00000000000000008e-5Initial program 87.8%
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.f6490.3
Applied rewrites90.3%
Applied rewrites92.7%
if 1.00000000000000008e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6448.0
Applied rewrites48.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6448.2
Applied rewrites48.2%
Final simplification69.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= (- t_2 (sqrt y)) 1e-5)
(+
t_3
(+ t_1 (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x))))))
(+
(+ (- (- (+ (fma (fma -0.125 x 0.5) x 1.0) t_2) (sqrt y)) (sqrt x)) t_1)
t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if ((t_2 - sqrt(y)) <= 1e-5) {
tmp = t_3 + (t_1 + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt((x + 1.0)) + sqrt(x)))));
} else {
tmp = ((((fma(fma(-0.125, x, 0.5), x, 1.0) + t_2) - sqrt(y)) - sqrt(x)) + t_1) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 - sqrt(y)) <= 1e-5) tmp = Float64(t_3 + Float64(t_1 + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x)))))); else tmp = Float64(Float64(Float64(Float64(Float64(fma(fma(-0.125, x, 0.5), x, 1.0) + t_2) - sqrt(y)) - sqrt(x)) + t_1) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 1e-5], N[(t$95$3 + N[(t$95$1 + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(N[(-0.125 * x + 0.5), $MachinePrecision] * x + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 - \sqrt{y} \leq 10^{-5}:\\
\;\;\;\;t\_3 + \left(t\_1 + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x + 1} + \sqrt{x}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.125, x, 0.5\right), x, 1\right) + t\_2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 1.00000000000000008e-5Initial program 87.8%
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.f6490.3
Applied rewrites90.3%
Applied rewrites92.7%
if 1.00000000000000008e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites45.9%
Final simplification68.4%
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 (+ x 1.0))) (t_2 (sqrt (+ 1.0 y))))
(if (<= (- t_2 (sqrt y)) 1e-5)
(+
(- (fma (sqrt (/ 1.0 y)) 0.5 t_1) (sqrt x))
(- (sqrt (+ t 1.0)) (sqrt t)))
(+ (+ (- (- (sqrt (+ z 1.0)) (sqrt z)) (+ (sqrt x) (sqrt y))) t_2) t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + y));
double tmp;
if ((t_2 - sqrt(y)) <= 1e-5) {
tmp = (fma(sqrt((1.0 / y)), 0.5, t_1) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
} else {
tmp = (((sqrt((z + 1.0)) - sqrt(z)) - (sqrt(x) + sqrt(y))) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(t_2 - sqrt(y)) <= 1e-5) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, t_1) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); else tmp = Float64(Float64(Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) - Float64(sqrt(x) + sqrt(y))) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 1e-5], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + y}\\
\mathbf{if}\;t\_2 - \sqrt{y} \leq 10^{-5}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, t\_1\right) - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\sqrt{z + 1} - \sqrt{z}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 1.00000000000000008e-5Initial program 87.8%
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-+.f6487.8
Applied rewrites87.8%
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.f6442.7
Applied rewrites42.7%
Taylor expanded in y around inf
Applied rewrites42.7%
if 1.00000000000000008e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) 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.f6417.8
Applied rewrites17.8%
Applied rewrites31.0%
Final simplification36.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))) (t_2 (sqrt (+ z 1.0))))
(if (<= (- t_2 (sqrt z)) 0.0)
(+
(- (+ (/ 1.0 (+ t_1 (sqrt y))) 1.0) (sqrt x))
(- (sqrt (+ t 1.0)) (sqrt t)))
(- (+ (+ t_1 1.0) t_2) (+ (+ (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((1.0 + y));
double t_2 = sqrt((z + 1.0));
double tmp;
if ((t_2 - sqrt(z)) <= 0.0) {
tmp = (((1.0 / (t_1 + sqrt(y))) + 1.0) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
} else {
tmp = ((t_1 + 1.0) + t_2) - ((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) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((z + 1.0d0))
if ((t_2 - sqrt(z)) <= 0.0d0) then
tmp = (((1.0d0 / (t_1 + sqrt(y))) + 1.0d0) - sqrt(x)) + (sqrt((t + 1.0d0)) - sqrt(t))
else
tmp = ((t_1 + 1.0d0) + t_2) - ((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((1.0 + y));
double t_2 = Math.sqrt((z + 1.0));
double tmp;
if ((t_2 - Math.sqrt(z)) <= 0.0) {
tmp = (((1.0 / (t_1 + Math.sqrt(y))) + 1.0) - Math.sqrt(x)) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
} else {
tmp = ((t_1 + 1.0) + t_2) - ((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((1.0 + y)) t_2 = math.sqrt((z + 1.0)) tmp = 0 if (t_2 - math.sqrt(z)) <= 0.0: tmp = (((1.0 / (t_1 + math.sqrt(y))) + 1.0) - math.sqrt(x)) + (math.sqrt((t + 1.0)) - math.sqrt(t)) else: tmp = ((t_1 + 1.0) + t_2) - ((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(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 0.0) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(y))) + 1.0) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); else tmp = Float64(Float64(Float64(t_1 + 1.0) + t_2) - 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((1.0 + y));
t_2 = sqrt((z + 1.0));
tmp = 0.0;
if ((t_2 - sqrt(z)) <= 0.0)
tmp = (((1.0 / (t_1 + sqrt(y))) + 1.0) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
else
tmp = ((t_1 + 1.0) + t_2) - ((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[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$2), $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{1 + y}\\
t_2 := \sqrt{z + 1}\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 0:\\
\;\;\;\;\left(\left(\frac{1}{t\_1 + \sqrt{y}} + 1\right) - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_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%
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-+.f6488.2
Applied rewrites88.2%
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.f6464.4
Applied rewrites64.4%
Taylor expanded in x around 0
Applied rewrites47.2%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial 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.f6417.0
Applied rewrites17.0%
Taylor expanded in x around 0
Applied rewrites14.8%
Final simplification30.3%
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 (+ x 1.0))))
(if (<= y 1.22e+17)
(- (+ t_1 (sqrt (+ 1.0 y))) (+ (sqrt x) (sqrt y)))
(+ (- t_1 (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((x + 1.0));
double tmp;
if (y <= 1.22e+17) {
tmp = (t_1 + sqrt((1.0 + y))) - (sqrt(x) + sqrt(y));
} else {
tmp = (t_1 - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
if (y <= 1.22d+17) then
tmp = (t_1 + sqrt((1.0d0 + y))) - (sqrt(x) + sqrt(y))
else
tmp = (t_1 - sqrt(x)) + (sqrt((t + 1.0d0)) - sqrt(t))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double tmp;
if (y <= 1.22e+17) {
tmp = (t_1 + Math.sqrt((1.0 + y))) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = (t_1 - Math.sqrt(x)) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) tmp = 0 if y <= 1.22e+17: tmp = (t_1 + math.sqrt((1.0 + y))) - (math.sqrt(x) + math.sqrt(y)) else: tmp = (t_1 - math.sqrt(x)) + (math.sqrt((t + 1.0)) - math.sqrt(t)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (y <= 1.22e+17) tmp = Float64(Float64(t_1 + sqrt(Float64(1.0 + y))) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(t_1 - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
tmp = 0.0;
if (y <= 1.22e+17)
tmp = (t_1 + sqrt((1.0 + y))) - (sqrt(x) + sqrt(y));
else
tmp = (t_1 - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 1.22e+17], N[(N[(t$95$1 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 - N[Sqrt[x], $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{x + 1}\\
\mathbf{if}\;y \leq 1.22 \cdot 10^{+17}:\\
\;\;\;\;\left(t\_1 + \sqrt{1 + y}\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\end{array}
\end{array}
if y < 1.22e17Initial program 96.8%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.7
Applied rewrites17.7%
Taylor expanded in z around inf
Applied rewrites21.2%
if 1.22e17 < y Initial program 88.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6488.0
Applied rewrites88.0%
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.f6443.1
Applied rewrites43.1%
Taylor expanded in y around inf
Applied rewrites43.0%
Final simplification31.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (sqrt (+ x 1.0)) (sqrt (+ 1.0 y))) (+ (sqrt x) (sqrt y))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((x + 1.0)) + sqrt((1.0 + y))) - (sqrt(x) + sqrt(y));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt((x + 1.0d0)) + sqrt((1.0d0 + y))) - (sqrt(x) + sqrt(y))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt((x + 1.0)) + Math.sqrt((1.0 + y))) - (Math.sqrt(x) + Math.sqrt(y));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt((x + 1.0)) + math.sqrt((1.0 + y))) - (math.sqrt(x) + math.sqrt(y))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(x + 1.0)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(x) + sqrt(y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((x + 1.0)) + sqrt((1.0 + y))) - (sqrt(x) + 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[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{x + 1} + \sqrt{1 + y}\right) - \left(\sqrt{x} + \sqrt{y}\right)
\end{array}
Initial program 92.6%
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.f6410.9
Applied rewrites10.9%
Taylor expanded in z around inf
Applied rewrites12.8%
Final simplification12.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (/ 1.0 (+ (sqrt y) 1.0)) (- (sqrt (+ t 1.0)) (sqrt t))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (1.0 / (sqrt(y) + 1.0)) + (sqrt((t + 1.0)) - sqrt(t));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (1.0d0 / (sqrt(y) + 1.0d0)) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (1.0 / (Math.sqrt(y) + 1.0)) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (1.0 / (math.sqrt(y) + 1.0)) + (math.sqrt((t + 1.0)) - math.sqrt(t))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(1.0 / Float64(sqrt(y) + 1.0)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (1.0 / (sqrt(y) + 1.0)) + (sqrt((t + 1.0)) - sqrt(t));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + 1.0), $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])\\
\\
\frac{1}{\sqrt{y} + 1} + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Initial program 92.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6492.7
Applied rewrites92.7%
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.f6438.8
Applied rewrites38.8%
Taylor expanded in x around inf
Applied rewrites31.7%
Taylor expanded in y around 0
Applied rewrites30.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt x) (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) {
return (sqrt(x) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt(x) - sqrt(x)) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt(x) - Math.sqrt(x)) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt(x) - math.sqrt(x)) + (math.sqrt((t + 1.0)) - math.sqrt(t))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(x) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt(x) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[x], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{x} - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Initial program 92.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6492.7
Applied rewrites92.7%
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.f6438.8
Applied rewrites38.8%
Taylor expanded in x around 0
Applied rewrites28.4%
Taylor expanded in x around inf
Applied rewrites14.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt y) (+ (sqrt x) (sqrt y))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt(y) - (sqrt(x) + sqrt(y));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt(y) - (sqrt(x) + sqrt(y))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(y) - (Math.sqrt(x) + Math.sqrt(y));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(y) - (math.sqrt(x) + math.sqrt(y))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(y) - Float64(sqrt(x) + sqrt(y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt(y) - (sqrt(x) + 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[(N[Sqrt[y], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{y} - \left(\sqrt{x} + \sqrt{y}\right)
\end{array}
Initial program 92.6%
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.f6410.9
Applied rewrites10.9%
Taylor expanded in z around inf
Applied rewrites1.8%
Applied rewrites1.4%
Taylor expanded in y around inf
Applied rewrites2.2%
Final simplification2.2%
(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 2024325
(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))))