
(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 18 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (sqrt (+ t 1.0)))
(t_6 (- t_5 (sqrt t)))
(t_7 (+ (+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) t_3) t_6)))
(if (<= t_7 1.5)
(+ t_6 (+ t_3 (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ t_4 (sqrt x))))))
(if (<= t_7 3.0)
(-
(+ t_4 (+ t_1 (fma (sqrt (/ 1.0 t)) 0.5 (/ 1.0 (+ (sqrt z) t_2)))))
(+ (sqrt x) (sqrt y)))
(+
(/ (- (+ t 1.0) t) (+ (sqrt t) t_5))
(+ (+ (- 1.0 (sqrt y)) (- 1.0 (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((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((t + 1.0));
double t_6 = t_5 - sqrt(t);
double t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_6;
double tmp;
if (t_7 <= 1.5) {
tmp = t_6 + (t_3 + fma(sqrt((1.0 / y)), 0.5, (1.0 / (t_4 + sqrt(x)))));
} else if (t_7 <= 3.0) {
tmp = (t_4 + (t_1 + fma(sqrt((1.0 / t)), 0.5, (1.0 / (sqrt(z) + t_2))))) - (sqrt(x) + sqrt(y));
} else {
tmp = (((t + 1.0) - t) / (sqrt(t) + t_5)) + (((1.0 - sqrt(y)) + (1.0 - 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(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = sqrt(Float64(t + 1.0)) t_6 = Float64(t_5 - sqrt(t)) t_7 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_3) + t_6) tmp = 0.0 if (t_7 <= 1.5) tmp = Float64(t_6 + Float64(t_3 + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(t_4 + sqrt(x)))))); elseif (t_7 <= 3.0) tmp = Float64(Float64(t_4 + Float64(t_1 + fma(sqrt(Float64(1.0 / t)), 0.5, Float64(1.0 / Float64(sqrt(z) + t_2))))) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_5)) + Float64(Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - 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[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 1.5], N[(t$95$6 + N[(t$95$3 + 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], If[LessEqual[t$95$7, 3.0], N[(N[(t$95$4 + N[(t$95$1 + N[(N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $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}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{t + 1}\\
t_6 := t\_5 - \sqrt{t}\\
t_7 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_3\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 1.5:\\
\;\;\;\;t\_6 + \left(t\_3 + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{t\_4 + \sqrt{x}}\right)\right)\\
\mathbf{elif}\;t\_7 \leq 3:\\
\;\;\;\;\left(t\_4 + \left(t\_1 + \mathsf{fma}\left(\sqrt{\frac{1}{t}}, 0.5, \frac{1}{\sqrt{z} + t\_2}\right)\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(t + 1\right) - t}{\sqrt{t} + t\_5} + \left(\left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + t\_3\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.5Initial program 80.1%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites82.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6465.3
Applied rewrites65.3%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6467.4
Applied rewrites67.4%
if 1.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial 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 t around inf
lower--.f64N/A
Applied rewrites31.8%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.6%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6482.7
Applied rewrites82.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6482.7
Applied rewrites82.7%
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
lower-+.f6482.7
Applied rewrites82.7%
Final simplification45.6%
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)))
(t_3 (sqrt (+ x 1.0)))
(t_4
(+
(+ (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))) (- t_2 (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t))))
(t_5 (+ (- (+ t_1 t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) 1.0)))
(if (<= t_4 1.0)
t_5
(if (<= t_4 2.0)
(- (+ t_3 t_1) (+ (sqrt x) (sqrt y)))
(if (<= t_4 3.5)
t_5
(+
(- (fma 0.5 t 1.0) (sqrt t))
(+ (- 1.0 (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = (((t_3 - sqrt(x)) + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double t_5 = ((t_1 + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
double tmp;
if (t_4 <= 1.0) {
tmp = t_5;
} else if (t_4 <= 2.0) {
tmp = (t_3 + t_1) - (sqrt(x) + sqrt(y));
} else if (t_4 <= 3.5) {
tmp = t_5;
} else {
tmp = (fma(0.5, t, 1.0) - sqrt(t)) + ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - 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)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) t_5 = Float64(Float64(Float64(t_1 + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0) tmp = 0.0 if (t_4 <= 1.0) tmp = t_5; elseif (t_4 <= 2.0) tmp = Float64(Float64(t_3 + t_1) - Float64(sqrt(x) + sqrt(y))); elseif (t_4 <= 3.5) tmp = t_5; else tmp = Float64(Float64(fma(0.5, t, 1.0) - sqrt(t)) + Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $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[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], t$95$5, If[LessEqual[t$95$4, 2.0], N[(N[(t$95$3 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 3.5], t$95$5, N[(N[(N[(0.5 * t + 1.0), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
t_5 := \left(\left(t\_1 + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(t\_3 + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{elif}\;t\_4 \leq 3.5:\\
\;\;\;\;t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, 1\right) - \sqrt{t}\right) + \left(\left(1 - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1 or 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 87.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.0
Applied rewrites20.0%
Taylor expanded in x around 0
Applied rewrites41.2%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.2%
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.f645.3
Applied rewrites5.3%
Taylor expanded in z around inf
Applied rewrites23.7%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.7%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6489.0
Applied rewrites89.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6489.0
Applied rewrites89.0%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6486.7
Applied rewrites86.7%
Taylor expanded in t around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6486.7
Applied rewrites86.7%
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)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (sqrt (+ t 1.0)))
(t_6 (- t_5 (sqrt t)))
(t_7 (+ (+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) t_3) t_6)))
(if (<= t_7 1.0)
(+ (+ (/ 1.0 (+ t_4 (sqrt x))) t_3) t_6)
(if (<= t_7 3.0)
(-
(+ t_4 (+ t_1 (fma (sqrt (/ 1.0 t)) 0.5 (/ 1.0 (+ (sqrt z) t_2)))))
(+ (sqrt x) (sqrt y)))
(+
(/ (- (+ t 1.0) t) (+ (sqrt t) t_5))
(+ (+ (- 1.0 (sqrt y)) (- 1.0 (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((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((t + 1.0));
double t_6 = t_5 - sqrt(t);
double t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_6;
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (t_4 + sqrt(x))) + t_3) + t_6;
} else if (t_7 <= 3.0) {
tmp = (t_4 + (t_1 + fma(sqrt((1.0 / t)), 0.5, (1.0 / (sqrt(z) + t_2))))) - (sqrt(x) + sqrt(y));
} else {
tmp = (((t + 1.0) - t) / (sqrt(t) + t_5)) + (((1.0 - sqrt(y)) + (1.0 - 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(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = sqrt(Float64(t + 1.0)) t_6 = Float64(t_5 - sqrt(t)) t_7 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_3) + t_6) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(x))) + t_3) + t_6); elseif (t_7 <= 3.0) tmp = Float64(Float64(t_4 + Float64(t_1 + fma(sqrt(Float64(1.0 / t)), 0.5, Float64(1.0 / Float64(sqrt(z) + t_2))))) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_5)) + Float64(Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - 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[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 3.0], N[(N[(t$95$4 + N[(t$95$1 + N[(N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $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}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{t + 1}\\
t_6 := t\_5 - \sqrt{t}\\
t_7 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_3\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;\left(\frac{1}{t\_4 + \sqrt{x}} + t\_3\right) + t\_6\\
\mathbf{elif}\;t\_7 \leq 3:\\
\;\;\;\;\left(t\_4 + \left(t\_1 + \mathsf{fma}\left(\sqrt{\frac{1}{t}}, 0.5, \frac{1}{\sqrt{z} + t\_2}\right)\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(t + 1\right) - t}{\sqrt{t} + t\_5} + \left(\left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + t\_3\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 80.6%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites82.2%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6465.8
Applied rewrites65.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6461.8
Applied rewrites61.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial program 96.4%
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-+.f6496.7
Applied rewrites96.7%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.6%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.6%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6482.7
Applied rewrites82.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6482.7
Applied rewrites82.7%
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
lower-+.f6482.7
Applied rewrites82.7%
Final simplification43.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (sqrt (+ t 1.0)))
(t_6 (- t_5 (sqrt t)))
(t_7 (+ (+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) t_3) t_6)))
(if (<= t_7 1.0)
(+ (+ (/ 1.0 (+ t_4 (sqrt x))) t_3) t_6)
(if (<= t_7 2.95)
(- (+ (+ t_1 (/ 1.0 (+ (sqrt z) t_2))) t_4) (+ (sqrt x) (sqrt y)))
(+
(/ (- (+ t 1.0) t) (+ (sqrt t) t_5))
(+ (+ (- 1.0 (sqrt y)) (- 1.0 (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((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((t + 1.0));
double t_6 = t_5 - sqrt(t);
double t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_6;
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (t_4 + sqrt(x))) + t_3) + t_6;
} else if (t_7 <= 2.95) {
tmp = ((t_1 + (1.0 / (sqrt(z) + t_2))) + t_4) - (sqrt(x) + sqrt(y));
} else {
tmp = (((t + 1.0) - t) / (sqrt(t) + t_5)) + (((1.0 - sqrt(y)) + (1.0 - sqrt(x))) + t_3);
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((z + 1.0d0))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((x + 1.0d0))
t_5 = sqrt((t + 1.0d0))
t_6 = t_5 - sqrt(t)
t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_6
if (t_7 <= 1.0d0) then
tmp = ((1.0d0 / (t_4 + sqrt(x))) + t_3) + t_6
else if (t_7 <= 2.95d0) then
tmp = ((t_1 + (1.0d0 / (sqrt(z) + t_2))) + t_4) - (sqrt(x) + sqrt(y))
else
tmp = (((t + 1.0d0) - t) / (sqrt(t) + t_5)) + (((1.0d0 - sqrt(y)) + (1.0d0 - sqrt(x))) + t_3)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((x + 1.0));
double t_5 = Math.sqrt((t + 1.0));
double t_6 = t_5 - Math.sqrt(t);
double t_7 = (((t_4 - Math.sqrt(x)) + (t_1 - Math.sqrt(y))) + t_3) + t_6;
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (t_4 + Math.sqrt(x))) + t_3) + t_6;
} else if (t_7 <= 2.95) {
tmp = ((t_1 + (1.0 / (Math.sqrt(z) + t_2))) + t_4) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = (((t + 1.0) - t) / (Math.sqrt(t) + t_5)) + (((1.0 - Math.sqrt(y)) + (1.0 - Math.sqrt(x))) + t_3);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((z + 1.0)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((x + 1.0)) t_5 = math.sqrt((t + 1.0)) t_6 = t_5 - math.sqrt(t) t_7 = (((t_4 - math.sqrt(x)) + (t_1 - math.sqrt(y))) + t_3) + t_6 tmp = 0 if t_7 <= 1.0: tmp = ((1.0 / (t_4 + math.sqrt(x))) + t_3) + t_6 elif t_7 <= 2.95: tmp = ((t_1 + (1.0 / (math.sqrt(z) + t_2))) + t_4) - (math.sqrt(x) + math.sqrt(y)) else: tmp = (((t + 1.0) - t) / (math.sqrt(t) + t_5)) + (((1.0 - math.sqrt(y)) + (1.0 - math.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(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = sqrt(Float64(t + 1.0)) t_6 = Float64(t_5 - sqrt(t)) t_7 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_3) + t_6) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(x))) + t_3) + t_6); elseif (t_7 <= 2.95) tmp = Float64(Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_2))) + t_4) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_5)) + Float64(Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))) + t_3)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((z + 1.0));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((x + 1.0));
t_5 = sqrt((t + 1.0));
t_6 = t_5 - sqrt(t);
t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_6;
tmp = 0.0;
if (t_7 <= 1.0)
tmp = ((1.0 / (t_4 + sqrt(x))) + t_3) + t_6;
elseif (t_7 <= 2.95)
tmp = ((t_1 + (1.0 / (sqrt(z) + t_2))) + t_4) - (sqrt(x) + sqrt(y));
else
tmp = (((t + 1.0) - t) / (sqrt(t) + t_5)) + (((1.0 - sqrt(y)) + (1.0 - sqrt(x))) + t_3);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 2.95], N[(N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $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}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{t + 1}\\
t_6 := t\_5 - \sqrt{t}\\
t_7 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_3\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;\left(\frac{1}{t\_4 + \sqrt{x}} + t\_3\right) + t\_6\\
\mathbf{elif}\;t\_7 \leq 2.95:\\
\;\;\;\;\left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_2}\right) + t\_4\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(t + 1\right) - t}{\sqrt{t} + t\_5} + \left(\left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + t\_3\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 80.6%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites82.2%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6465.8
Applied rewrites65.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6461.8
Applied rewrites61.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.9500000000000002Initial program 96.0%
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-+.f6496.5
Applied rewrites96.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites23.6%
if 2.9500000000000002 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.2%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6479.1
Applied rewrites79.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6463.1
Applied rewrites63.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6463.7
Applied rewrites63.7%
Final simplification44.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (sqrt (+ t 1.0)))
(t_6 (- t_5 (sqrt t)))
(t_7 (+ (+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) t_3) t_6)))
(if (<= t_7 1.0)
(+ (+ (/ 1.0 (+ t_4 (sqrt x))) t_3) t_6)
(if (<= t_7 2.9999999)
(- (+ (+ t_1 (/ 1.0 (+ (sqrt z) t_2))) t_4) (+ (sqrt x) (sqrt y)))
(+
(/ (- (+ t 1.0) t) (+ (sqrt t) t_5))
(+ (- 1.0 (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((t + 1.0));
double t_6 = t_5 - sqrt(t);
double t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_6;
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (t_4 + sqrt(x))) + t_3) + t_6;
} else if (t_7 <= 2.9999999) {
tmp = ((t_1 + (1.0 / (sqrt(z) + t_2))) + t_4) - (sqrt(x) + sqrt(y));
} else {
tmp = (((t + 1.0) - t) / (sqrt(t) + t_5)) + ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((z + 1.0d0))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((x + 1.0d0))
t_5 = sqrt((t + 1.0d0))
t_6 = t_5 - sqrt(t)
t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_6
if (t_7 <= 1.0d0) then
tmp = ((1.0d0 / (t_4 + sqrt(x))) + t_3) + t_6
else if (t_7 <= 2.9999999d0) then
tmp = ((t_1 + (1.0d0 / (sqrt(z) + t_2))) + t_4) - (sqrt(x) + sqrt(y))
else
tmp = (((t + 1.0d0) - t) / (sqrt(t) + t_5)) + ((1.0d0 - sqrt(z)) + ((1.0d0 - sqrt(y)) + (1.0d0 - sqrt(x))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((x + 1.0));
double t_5 = Math.sqrt((t + 1.0));
double t_6 = t_5 - Math.sqrt(t);
double t_7 = (((t_4 - Math.sqrt(x)) + (t_1 - Math.sqrt(y))) + t_3) + t_6;
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (t_4 + Math.sqrt(x))) + t_3) + t_6;
} else if (t_7 <= 2.9999999) {
tmp = ((t_1 + (1.0 / (Math.sqrt(z) + t_2))) + t_4) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = (((t + 1.0) - t) / (Math.sqrt(t) + t_5)) + ((1.0 - Math.sqrt(z)) + ((1.0 - Math.sqrt(y)) + (1.0 - Math.sqrt(x))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((z + 1.0)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((x + 1.0)) t_5 = math.sqrt((t + 1.0)) t_6 = t_5 - math.sqrt(t) t_7 = (((t_4 - math.sqrt(x)) + (t_1 - math.sqrt(y))) + t_3) + t_6 tmp = 0 if t_7 <= 1.0: tmp = ((1.0 / (t_4 + math.sqrt(x))) + t_3) + t_6 elif t_7 <= 2.9999999: tmp = ((t_1 + (1.0 / (math.sqrt(z) + t_2))) + t_4) - (math.sqrt(x) + math.sqrt(y)) else: tmp = (((t + 1.0) - t) / (math.sqrt(t) + t_5)) + ((1.0 - math.sqrt(z)) + ((1.0 - math.sqrt(y)) + (1.0 - 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)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = sqrt(Float64(t + 1.0)) t_6 = Float64(t_5 - sqrt(t)) t_7 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_3) + t_6) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(x))) + t_3) + t_6); elseif (t_7 <= 2.9999999) tmp = Float64(Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_2))) + t_4) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_5)) + Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((z + 1.0));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((x + 1.0));
t_5 = sqrt((t + 1.0));
t_6 = t_5 - sqrt(t);
t_7 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_6;
tmp = 0.0;
if (t_7 <= 1.0)
tmp = ((1.0 / (t_4 + sqrt(x))) + t_3) + t_6;
elseif (t_7 <= 2.9999999)
tmp = ((t_1 + (1.0 / (sqrt(z) + t_2))) + t_4) - (sqrt(x) + sqrt(y));
else
tmp = (((t + 1.0) - t) / (sqrt(t) + t_5)) + ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 2.9999999], N[(N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{t + 1}\\
t_6 := t\_5 - \sqrt{t}\\
t_7 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_3\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;\left(\frac{1}{t\_4 + \sqrt{x}} + t\_3\right) + t\_6\\
\mathbf{elif}\;t\_7 \leq 2.9999999:\\
\;\;\;\;\left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_2}\right) + t\_4\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(t + 1\right) - t}{\sqrt{t} + t\_5} + \left(\left(1 - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 80.6%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites82.2%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6465.8
Applied rewrites65.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6461.8
Applied rewrites61.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.99999990000000016Initial program 95.8%
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-+.f6496.2
Applied rewrites96.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites25.2%
if 2.99999990000000016 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6483.1
Applied rewrites83.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6467.3
Applied rewrites67.3%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6455.1
Applied rewrites55.1%
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-+.f6455.1
Applied rewrites55.1%
Final simplification42.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (- t_4 (sqrt t)))
(t_6
(+ (+ (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))) (- t_2 (sqrt z))) t_5)))
(if (<= t_6 1.0)
(+ (- (fma (sqrt (/ 1.0 z)) 0.5 t_3) (sqrt x)) t_5)
(if (<= t_6 2.9999999)
(- (+ (+ t_1 (/ 1.0 (+ (sqrt z) t_2))) t_3) (+ (sqrt x) (sqrt y)))
(+
(/ (- (+ t 1.0) t) (+ (sqrt t) t_4))
(+ (- 1.0 (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((t + 1.0));
double t_5 = t_4 - sqrt(t);
double t_6 = (((t_3 - sqrt(x)) + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + t_5;
double tmp;
if (t_6 <= 1.0) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_3) - sqrt(x)) + t_5;
} else if (t_6 <= 2.9999999) {
tmp = ((t_1 + (1.0 / (sqrt(z) + t_2))) + t_3) - (sqrt(x) + sqrt(y));
} else {
tmp = (((t + 1.0) - t) / (sqrt(t) + t_4)) + ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - 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)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(t + 1.0)) t_5 = Float64(t_4 - sqrt(t)) t_6 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + t_5) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_3) - sqrt(x)) + t_5); elseif (t_6 <= 2.9999999) tmp = Float64(Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_2))) + t_3) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_4)) + Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $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[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 2.9999999], N[(N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{t + 1}\\
t_5 := t\_4 - \sqrt{t}\\
t_6 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_5\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_3\right) - \sqrt{x}\right) + t\_5\\
\mathbf{elif}\;t\_6 \leq 2.9999999:\\
\;\;\;\;\left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_2}\right) + t\_3\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(t + 1\right) - t}{\sqrt{t} + t\_4} + \left(\left(1 - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 80.6%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/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.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.7
Applied rewrites26.7%
Taylor expanded in y around inf
Applied rewrites34.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.99999990000000016Initial program 95.8%
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-+.f6496.2
Applied rewrites96.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites25.2%
if 2.99999990000000016 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6483.1
Applied rewrites83.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6467.3
Applied rewrites67.3%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6455.1
Applied rewrites55.1%
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-+.f6455.1
Applied rewrites55.1%
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 (+ 1.0 y)))
(t_2 (sqrt (/ 1.0 z)))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ (+ (- t_5 (sqrt x)) (- t_1 (sqrt y))) t_3) t_4)))
(if (<= t_6 1.0)
(+ (- (fma t_2 0.5 t_5) (sqrt x)) t_4)
(if (<= t_6 2.02)
(- (+ (fma t_2 0.5 t_1) t_5) (+ (sqrt x) (sqrt y)))
(+ (+ (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x))) t_3) t_4)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 / z));
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((x + 1.0));
double t_6 = (((t_5 - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_4;
double tmp;
if (t_6 <= 1.0) {
tmp = (fma(t_2, 0.5, t_5) - sqrt(x)) + t_4;
} else if (t_6 <= 2.02) {
tmp = (fma(t_2, 0.5, t_1) + t_5) - (sqrt(x) + sqrt(y));
} else {
tmp = (((1.0 - sqrt(y)) + (1.0 - sqrt(x))) + t_3) + t_4;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 / z)) t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(Float64(Float64(t_5 - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_3) + t_4) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(fma(t_2, 0.5, t_5) - sqrt(x)) + t_4); elseif (t_6 <= 2.02) tmp = Float64(Float64(fma(t_2, 0.5, t_1) + t_5) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))) + t_3) + t_4); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(t$95$2 * 0.5 + t$95$5), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.02], N[(N[(N[(t$95$2 * 0.5 + t$95$1), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $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{\frac{1}{z}}\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(\left(\left(t\_5 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_3\right) + t\_4\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_2, 0.5, t\_5\right) - \sqrt{x}\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.02:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_2, 0.5, t\_1\right) + t\_5\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + t\_3\right) + t\_4\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 80.6%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/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.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.7
Applied rewrites26.7%
Taylor expanded in y around inf
Applied rewrites34.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.02000000000000002Initial program 95.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.8
Applied rewrites5.8%
Taylor expanded in z around inf
Applied rewrites23.1%
if 2.02000000000000002 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.4%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6477.5
Applied rewrites77.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6460.9
Applied rewrites60.9%
Final simplification36.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5
(+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_1 (sqrt y))) t_3) t_4)))
(if (<= t_5 1.0)
(+ (- (+ t_1 t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) 1.0)
(if (<= t_5 2.9999999)
(- (+ (+ t_1 t_3) 1.0) (+ (sqrt x) (sqrt y)))
(+ (+ (- 1.0 (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x)))) t_4)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = (((sqrt((x + 1.0)) - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_4;
double tmp;
if (t_5 <= 1.0) {
tmp = ((t_1 + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
} else if (t_5 <= 2.9999999) {
tmp = ((t_1 + t_3) + 1.0) - (sqrt(x) + sqrt(y));
} else {
tmp = ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x)))) + t_4;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((z + 1.0d0))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((t + 1.0d0)) - sqrt(t)
t_5 = (((sqrt((x + 1.0d0)) - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_4
if (t_5 <= 1.0d0) then
tmp = ((t_1 + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0d0
else if (t_5 <= 2.9999999d0) then
tmp = ((t_1 + t_3) + 1.0d0) - (sqrt(x) + sqrt(y))
else
tmp = ((1.0d0 - sqrt(z)) + ((1.0d0 - sqrt(y)) + (1.0d0 - sqrt(x)))) + t_4
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_5 = (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (t_1 - Math.sqrt(y))) + t_3) + t_4;
double tmp;
if (t_5 <= 1.0) {
tmp = ((t_1 + t_2) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x))) + 1.0;
} else if (t_5 <= 2.9999999) {
tmp = ((t_1 + t_3) + 1.0) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = ((1.0 - Math.sqrt(z)) + ((1.0 - Math.sqrt(y)) + (1.0 - Math.sqrt(x)))) + t_4;
}
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)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((t + 1.0)) - math.sqrt(t) t_5 = (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (t_1 - math.sqrt(y))) + t_3) + t_4 tmp = 0 if t_5 <= 1.0: tmp = ((t_1 + t_2) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) + 1.0 elif t_5 <= 2.9999999: tmp = ((t_1 + t_3) + 1.0) - (math.sqrt(x) + math.sqrt(y)) else: tmp = ((1.0 - math.sqrt(z)) + ((1.0 - math.sqrt(y)) + (1.0 - math.sqrt(x)))) + t_4 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_3) + t_4) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(Float64(t_1 + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); elseif (t_5 <= 2.9999999) tmp = Float64(Float64(Float64(t_1 + t_3) + 1.0) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x)))) + t_4); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((z + 1.0));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((t + 1.0)) - sqrt(t);
t_5 = (((sqrt((x + 1.0)) - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + t_4;
tmp = 0.0;
if (t_5 <= 1.0)
tmp = ((t_1 + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
elseif (t_5 <= 2.9999999)
tmp = ((t_1 + t_3) + 1.0) - (sqrt(x) + sqrt(y));
else
tmp = ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x)))) + t_4;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], If[LessEqual[t$95$5, 2.9999999], N[(N[(N[(t$95$1 + t$95$3), $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_3\right) + t\_4\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\left(t\_1 + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\mathbf{elif}\;t\_5 \leq 2.9999999:\\
\;\;\;\;\left(\left(t\_1 + t\_3\right) + 1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(1 - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right) + t\_4\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 80.6%
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.f643.2
Applied rewrites3.2%
Taylor expanded in x around 0
Applied rewrites40.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.99999990000000016Initial program 95.8%
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.f648.7
Applied rewrites8.7%
Taylor expanded in z around inf
Applied rewrites1.8%
Applied rewrites1.4%
Taylor expanded in x around 0
Applied rewrites23.3%
if 2.99999990000000016 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6483.1
Applied rewrites83.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6467.3
Applied rewrites67.3%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6455.1
Applied rewrites55.1%
Final simplification34.9%
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 (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4
(+
(+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_1 (sqrt y))) t_3)
(- (sqrt (+ t 1.0)) (sqrt t)))))
(if (<= t_4 1.0)
(+ (- (+ t_1 t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) 1.0)
(if (<= t_4 3.5)
(- (+ (+ t_1 t_3) 1.0) (+ (sqrt x) (sqrt y)))
(+
(- (fma (fma -0.125 t 0.5) t 1.0) (sqrt t))
(+ (- 1.0 (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = (((sqrt((x + 1.0)) - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + (sqrt((t + 1.0)) - sqrt(t));
double tmp;
if (t_4 <= 1.0) {
tmp = ((t_1 + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
} else if (t_4 <= 3.5) {
tmp = ((t_1 + t_3) + 1.0) - (sqrt(x) + sqrt(y));
} else {
tmp = (fma(fma(-0.125, t, 0.5), t, 1.0) - sqrt(t)) + ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - 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)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_3) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(Float64(t_1 + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); elseif (t_4 <= 3.5) tmp = Float64(Float64(Float64(t_1 + t_3) + 1.0) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(fma(fma(-0.125, t, 0.5), t, 1.0) - sqrt(t)) + Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], If[LessEqual[t$95$4, 3.5], N[(N[(N[(t$95$1 + t$95$3), $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(-0.125 * t + 0.5), $MachinePrecision] * t + 1.0), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_3\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(\left(t\_1 + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\mathbf{elif}\;t\_4 \leq 3.5:\\
\;\;\;\;\left(\left(t\_1 + t\_3\right) + 1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.125, t, 0.5\right), t, 1\right) - \sqrt{t}\right) + \left(\left(1 - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 80.6%
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.f643.2
Applied rewrites3.2%
Taylor expanded in x around 0
Applied rewrites40.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 96.2%
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.f6418.1
Applied rewrites18.1%
Taylor expanded in z around inf
Applied rewrites1.8%
Applied rewrites1.4%
Taylor expanded in x around 0
Applied rewrites29.5%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.7%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6489.0
Applied rewrites89.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6489.0
Applied rewrites89.0%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6486.7
Applied rewrites86.7%
Taylor expanded in t around 0
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6486.7
Applied rewrites86.7%
Final simplification35.6%
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)))
(t_3 (- t_2 (sqrt z)))
(t_4
(+
(+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_1 (sqrt y))) t_3)
(- (sqrt (+ t 1.0)) (sqrt t)))))
(if (<= t_4 1.0)
(+ (- (+ t_1 t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) 1.0)
(if (<= t_4 3.5)
(- (+ (+ t_1 t_3) 1.0) (+ (sqrt x) (sqrt y)))
(+
(- (fma 0.5 t 1.0) (sqrt t))
(+ (- 1.0 (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = (((sqrt((x + 1.0)) - sqrt(x)) + (t_1 - sqrt(y))) + t_3) + (sqrt((t + 1.0)) - sqrt(t));
double tmp;
if (t_4 <= 1.0) {
tmp = ((t_1 + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
} else if (t_4 <= 3.5) {
tmp = ((t_1 + t_3) + 1.0) - (sqrt(x) + sqrt(y));
} else {
tmp = (fma(0.5, t, 1.0) - sqrt(t)) + ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - 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)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_3) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(Float64(t_1 + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); elseif (t_4 <= 3.5) tmp = Float64(Float64(Float64(t_1 + t_3) + 1.0) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(fma(0.5, t, 1.0) - sqrt(t)) + Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], If[LessEqual[t$95$4, 3.5], N[(N[(N[(t$95$1 + t$95$3), $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * t + 1.0), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_3\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(\left(t\_1 + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\mathbf{elif}\;t\_4 \leq 3.5:\\
\;\;\;\;\left(\left(t\_1 + t\_3\right) + 1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, 1\right) - \sqrt{t}\right) + \left(\left(1 - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 80.6%
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.f643.2
Applied rewrites3.2%
Taylor expanded in x around 0
Applied rewrites40.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 96.2%
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.f6418.1
Applied rewrites18.1%
Taylor expanded in z around inf
Applied rewrites1.8%
Applied rewrites1.4%
Taylor expanded in x around 0
Applied rewrites29.5%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.7%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6489.0
Applied rewrites89.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6489.0
Applied rewrites89.0%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6486.7
Applied rewrites86.7%
Taylor expanded in t around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6486.7
Applied rewrites86.7%
Final simplification35.6%
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 (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) t_1)))
(if (<= t_5 1.0)
(+ (- (fma (sqrt (/ 1.0 z)) 0.5 t_2) (sqrt x)) t_3)
(if (<= t_5 2.99999)
(- (+ (+ t_4 t_1) 1.0) (+ (sqrt x) (sqrt y)))
(+
(+ (- (fma 0.5 z 1.0) (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (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)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1;
double tmp;
if (t_5 <= 1.0) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_2) - sqrt(x)) + t_3;
} else if (t_5 <= 2.99999) {
tmp = ((t_4 + t_1) + 1.0) - (sqrt(x) + sqrt(y));
} else {
tmp = ((fma(0.5, z, 1.0) - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x)))) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_1) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_2) - sqrt(x)) + t_3); elseif (t_5 <= 2.99999) tmp = Float64(Float64(Float64(t_4 + t_1) + 1.0) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(fma(0.5, z, 1.0) - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - 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[(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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 2.99999], N[(N[(N[(t$95$4 + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * z + 1.0), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_2\right) - \sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 2.99999:\\
\;\;\;\;\left(\left(t\_4 + t\_1\right) + 1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z, 1\right) - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 87.3%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/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.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.5
Applied rewrites23.5%
Taylor expanded in y around inf
Applied rewrites34.3%
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))) < 2.99998999999999993Initial program 96.0%
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.f647.8
Applied rewrites7.8%
Taylor expanded in z around inf
Applied rewrites1.9%
Applied rewrites1.5%
Taylor expanded in x around 0
Applied rewrites27.2%
if 2.99998999999999993 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.1%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6495.2
Applied rewrites95.2%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6494.8
Applied rewrites94.8%
Taylor expanded in z around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6494.8
Applied rewrites94.8%
Final simplification39.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_3 (sqrt y))) t_2)))
(if (<= t_4 1.0)
(+ (- (+ t_3 t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) 1.0)
(if (<= t_4 2.99999)
(- (+ (+ t_3 t_2) 1.0) (+ (sqrt x) (sqrt y)))
(+
(+ (- (fma 0.5 z 1.0) (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (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((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((1.0 + y));
double t_4 = ((sqrt((x + 1.0)) - sqrt(x)) + (t_3 - sqrt(y))) + t_2;
double tmp;
if (t_4 <= 1.0) {
tmp = ((t_3 + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
} else if (t_4 <= 2.99999) {
tmp = ((t_3 + t_2) + 1.0) - (sqrt(x) + sqrt(y));
} else {
tmp = ((fma(0.5, z, 1.0) - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x)))) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_3 - sqrt(y))) + t_2) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(Float64(t_3 + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); elseif (t_4 <= 2.99999) tmp = Float64(Float64(Float64(t_3 + t_2) + 1.0) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(fma(0.5, z, 1.0) - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[(t$95$3 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], If[LessEqual[t$95$4, 2.99999], N[(N[(N[(t$95$3 + t$95$2), $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * z + 1.0), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{1 + y}\\
t_4 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(\left(t\_3 + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\mathbf{elif}\;t\_4 \leq 2.99999:\\
\;\;\;\;\left(\left(t\_3 + t\_2\right) + 1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z, 1\right) - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 87.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.3
Applied rewrites3.3%
Taylor expanded in x around 0
Applied rewrites28.5%
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))) < 2.99998999999999993Initial program 96.0%
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.f647.8
Applied rewrites7.8%
Taylor expanded in z around inf
Applied rewrites1.9%
Applied rewrites1.5%
Taylor expanded in x around 0
Applied rewrites27.2%
if 2.99998999999999993 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.1%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6495.2
Applied rewrites95.2%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6494.8
Applied rewrites94.8%
Taylor expanded in z around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6494.8
Applied rewrites94.8%
Final simplification36.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(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 85.8%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6489.2
Applied rewrites89.2%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6493.4
Applied rewrites93.4%
if 1.00000000000000008e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.4%
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-+.f6497.9
Applied rewrites97.9%
Final simplification95.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= (- (sqrt (+ t 1.0)) (sqrt t)) 0.001)
(- (+ (sqrt (+ x 1.0)) (sqrt (+ 1.0 y))) (+ (sqrt x) (sqrt y)))
(+
(- (fma 0.5 t 1.0) (sqrt t))
(+ (- 1.0 (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if ((sqrt((t + 1.0)) - sqrt(t)) <= 0.001) {
tmp = (sqrt((x + 1.0)) + sqrt((1.0 + y))) - (sqrt(x) + sqrt(y));
} else {
tmp = (fma(0.5, t, 1.0) - sqrt(t)) + ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) <= 0.001) tmp = Float64(Float64(sqrt(Float64(x + 1.0)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(fma(0.5, t, 1.0) - sqrt(t)) + Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision], 0.001], 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], N[(N[(N[(0.5 * t + 1.0), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;\sqrt{t + 1} - \sqrt{t} \leq 0.001:\\
\;\;\;\;\left(\sqrt{x + 1} + \sqrt{1 + y}\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, 1\right) - \sqrt{t}\right) + \left(\left(1 - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) < 1e-3Initial program 88.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6421.2
Applied rewrites21.2%
Taylor expanded in z around inf
Applied rewrites22.3%
if 1e-3 < (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) Initial program 96.5%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6440.7
Applied rewrites40.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6418.8
Applied rewrites18.8%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6411.3
Applied rewrites11.3%
Taylor expanded in t around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6411.3
Applied rewrites11.3%
Final simplification17.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= (- (sqrt (+ t 1.0)) (sqrt t)) 0.001)
(- (+ (sqrt (+ x 1.0)) (sqrt (+ 1.0 y))) (+ (sqrt x) (sqrt y)))
(+
(- 1.0 (sqrt t))
(+ (- 1.0 (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if ((sqrt((t + 1.0)) - sqrt(t)) <= 0.001) {
tmp = (sqrt((x + 1.0)) + sqrt((1.0 + y))) - (sqrt(x) + sqrt(y));
} else {
tmp = (1.0 - sqrt(t)) + ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if ((sqrt((t + 1.0d0)) - sqrt(t)) <= 0.001d0) then
tmp = (sqrt((x + 1.0d0)) + sqrt((1.0d0 + y))) - (sqrt(x) + sqrt(y))
else
tmp = (1.0d0 - sqrt(t)) + ((1.0d0 - sqrt(z)) + ((1.0d0 - sqrt(y)) + (1.0d0 - sqrt(x))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if ((Math.sqrt((t + 1.0)) - Math.sqrt(t)) <= 0.001) {
tmp = (Math.sqrt((x + 1.0)) + Math.sqrt((1.0 + y))) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = (1.0 - Math.sqrt(t)) + ((1.0 - Math.sqrt(z)) + ((1.0 - Math.sqrt(y)) + (1.0 - Math.sqrt(x))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if (math.sqrt((t + 1.0)) - math.sqrt(t)) <= 0.001: tmp = (math.sqrt((x + 1.0)) + math.sqrt((1.0 + y))) - (math.sqrt(x) + math.sqrt(y)) else: tmp = (1.0 - math.sqrt(t)) + ((1.0 - math.sqrt(z)) + ((1.0 - math.sqrt(y)) + (1.0 - math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) <= 0.001) tmp = Float64(Float64(sqrt(Float64(x + 1.0)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(1.0 - sqrt(t)) + Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if ((sqrt((t + 1.0)) - sqrt(t)) <= 0.001)
tmp = (sqrt((x + 1.0)) + sqrt((1.0 + y))) - (sqrt(x) + sqrt(y));
else
tmp = (1.0 - sqrt(t)) + ((1.0 - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision], 0.001], 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], N[(N[(1.0 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;\sqrt{t + 1} - \sqrt{t} \leq 0.001:\\
\;\;\;\;\left(\sqrt{x + 1} + \sqrt{1 + y}\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 - \sqrt{t}\right) + \left(\left(1 - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) < 1e-3Initial program 88.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6421.2
Applied rewrites21.2%
Taylor expanded in z around inf
Applied rewrites22.3%
if 1e-3 < (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) Initial program 96.5%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6440.7
Applied rewrites40.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6418.8
Applied rewrites18.8%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6411.3
Applied rewrites11.3%
Taylor expanded in t around 0
lower--.f64N/A
lower-sqrt.f6411.2
Applied rewrites11.2%
Final simplification17.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= z 1.14e-11)
(+
(+ (- (fma 0.5 z 1.0) (sqrt z)) (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x))))
(- (sqrt (+ t 1.0)) (sqrt t)))
(+
(+
(- (- (sqrt (+ z 1.0)) (sqrt z)) (+ (sqrt x) (sqrt y)))
(sqrt (+ 1.0 y)))
(sqrt (+ x 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 1.14e-11) {
tmp = ((fma(0.5, z, 1.0) - sqrt(z)) + ((1.0 - sqrt(y)) + (1.0 - sqrt(x)))) + (sqrt((t + 1.0)) - sqrt(t));
} else {
tmp = (((sqrt((z + 1.0)) - sqrt(z)) - (sqrt(x) + sqrt(y))) + sqrt((1.0 + y))) + sqrt((x + 1.0));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 1.14e-11) tmp = Float64(Float64(Float64(fma(0.5, z, 1.0) - sqrt(z)) + Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - 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))) + sqrt(Float64(1.0 + y))) + sqrt(Float64(x + 1.0))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[z, 1.14e-11], N[(N[(N[(N[(0.5 * z + 1.0), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $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] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 1.14 \cdot 10^{-11}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z, 1\right) - \sqrt{z}\right) + \left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\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) + \sqrt{1 + y}\right) + \sqrt{x + 1}\\
\end{array}
\end{array}
if z < 1.1400000000000001e-11Initial program 96.9%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6446.8
Applied rewrites46.8%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6427.1
Applied rewrites27.1%
Taylor expanded in z around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6427.1
Applied rewrites27.1%
if 1.1400000000000001e-11 < z Initial program 87.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Applied rewrites29.1%
Final simplification28.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (sqrt (+ x 1.0)) (sqrt (+ 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 92.0%
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.f6414.0
Applied rewrites14.0%
Taylor expanded in z around inf
Applied rewrites15.3%
Final simplification15.3%
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 92.0%
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.f6414.0
Applied rewrites14.0%
Taylor expanded in z around inf
Applied rewrites1.8%
Applied rewrites1.4%
Taylor expanded in y around inf
Applied rewrites2.1%
Final simplification2.1%
(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 2024327
(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))))