
(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 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ 1.0 t)))
(t_3 (- t_2 (sqrt t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (sqrt (+ 1.0 z)))
(t_6 (- t_5 (sqrt z)))
(t_7 (+ t_3 (+ t_6 (+ (- t_1 (sqrt x)) (- t_4 (sqrt y)))))))
(if (<= t_7 0.0001)
(+ t_3 (+ t_6 (/ 1.0 (+ (sqrt x) t_1))))
(if (<= t_7 2.0)
(+ t_3 (- t_1 (+ (sqrt x) (/ -1.0 (+ (sqrt y) t_4)))))
(if (<= t_7 3.002)
(+
1.0
(-
(+ t_4 (fma 0.5 (sqrt (/ 1.0 t)) t_5))
(+ (sqrt x) (+ (sqrt y) (sqrt z)))))
(- (+ t_2 3.0) (+ (sqrt t) (+ (sqrt z) (+ (sqrt x) (sqrt y))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + t));
double t_3 = t_2 - sqrt(t);
double t_4 = sqrt((1.0 + y));
double t_5 = sqrt((1.0 + z));
double t_6 = t_5 - sqrt(z);
double t_7 = t_3 + (t_6 + ((t_1 - sqrt(x)) + (t_4 - sqrt(y))));
double tmp;
if (t_7 <= 0.0001) {
tmp = t_3 + (t_6 + (1.0 / (sqrt(x) + t_1)));
} else if (t_7 <= 2.0) {
tmp = t_3 + (t_1 - (sqrt(x) + (-1.0 / (sqrt(y) + t_4))));
} else if (t_7 <= 3.002) {
tmp = 1.0 + ((t_4 + fma(0.5, sqrt((1.0 / t)), t_5)) - (sqrt(x) + (sqrt(y) + sqrt(z))));
} else {
tmp = (t_2 + 3.0) - (sqrt(t) + (sqrt(z) + (sqrt(x) + sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + t)) t_3 = Float64(t_2 - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = sqrt(Float64(1.0 + z)) t_6 = Float64(t_5 - sqrt(z)) t_7 = Float64(t_3 + Float64(t_6 + Float64(Float64(t_1 - sqrt(x)) + Float64(t_4 - sqrt(y))))) tmp = 0.0 if (t_7 <= 0.0001) tmp = Float64(t_3 + Float64(t_6 + Float64(1.0 / Float64(sqrt(x) + t_1)))); elseif (t_7 <= 2.0) tmp = Float64(t_3 + Float64(t_1 - Float64(sqrt(x) + Float64(-1.0 / Float64(sqrt(y) + t_4))))); elseif (t_7 <= 3.002) tmp = Float64(1.0 + Float64(Float64(t_4 + fma(0.5, sqrt(Float64(1.0 / t)), t_5)) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); else tmp = Float64(Float64(t_2 + 3.0) - Float64(sqrt(t) + Float64(sqrt(z) + Float64(sqrt(x) + sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$3 + N[(t$95$6 + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 0.0001], N[(t$95$3 + N[(t$95$6 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 2.0], N[(t$95$3 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[(-1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 3.002], N[(1.0 + N[(N[(t$95$4 + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + 3.0), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $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 + x}\\
t_2 := \sqrt{1 + t}\\
t_3 := t\_2 - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \sqrt{1 + z}\\
t_6 := t\_5 - \sqrt{z}\\
t_7 := t\_3 + \left(t\_6 + \left(\left(t\_1 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_7 \leq 0.0001:\\
\;\;\;\;t\_3 + \left(t\_6 + \frac{1}{\sqrt{x} + t\_1}\right)\\
\mathbf{elif}\;t\_7 \leq 2:\\
\;\;\;\;t\_3 + \left(t\_1 - \left(\sqrt{x} + \frac{-1}{\sqrt{y} + t\_4}\right)\right)\\
\mathbf{elif}\;t\_7 \leq 3.002:\\
\;\;\;\;1 + \left(\left(t\_4 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{t}}, t\_5\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + 3\right) - \left(\sqrt{t} + \left(\sqrt{z} + \left(\sqrt{x} + \sqrt{y}\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))) < 1.00000000000000005e-4Initial program 10.8%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites15.5%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6458.3
Applied rewrites58.3%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6456.6
Applied rewrites56.6%
if 1.00000000000000005e-4 < (+.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 97.1%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.5
Applied rewrites97.5%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6446.9
Applied rewrites46.9%
if 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))) < 3.0019999999999998Initial program 96.4%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites38.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
Applied rewrites33.8%
if 3.0019999999999998 < (+.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 99.5%
Taylor expanded in z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.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
lower-sqrt.f64N/A
lower-sqrt.f6493.6
Applied rewrites93.6%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6493.6
Applied rewrites93.6%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6487.7
Applied rewrites87.7%
Final simplification46.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (sqrt (+ 1.0 z)))
(t_5 (- t_4 (sqrt z)))
(t_6 (+ t_2 (+ t_5 (+ (- t_1 (sqrt x)) (- t_3 (sqrt y)))))))
(if (<= t_6 0.0001)
(+ t_2 (+ t_5 (/ 1.0 (+ (sqrt x) t_1))))
(if (<= t_6 2.0)
(+ t_2 (- t_1 (+ (sqrt x) (/ -1.0 (+ (sqrt y) t_3)))))
(if (<= t_6 2.9999999)
(+
1.0
(-
(+ t_1 (fma 0.5 y t_4))
(+ (sqrt x) (/ (- z y) (- (sqrt z) (sqrt y))))))
(+ t_2 (- (+ 2.0 (- t_3 (sqrt x))) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((1.0 + z));
double t_5 = t_4 - sqrt(z);
double t_6 = t_2 + (t_5 + ((t_1 - sqrt(x)) + (t_3 - sqrt(y))));
double tmp;
if (t_6 <= 0.0001) {
tmp = t_2 + (t_5 + (1.0 / (sqrt(x) + t_1)));
} else if (t_6 <= 2.0) {
tmp = t_2 + (t_1 - (sqrt(x) + (-1.0 / (sqrt(y) + t_3))));
} else if (t_6 <= 2.9999999) {
tmp = 1.0 + ((t_1 + fma(0.5, y, t_4)) - (sqrt(x) + ((z - y) / (sqrt(z) - sqrt(y)))));
} else {
tmp = t_2 + ((2.0 + (t_3 - sqrt(x))) - (sqrt(y) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + y)) t_4 = sqrt(Float64(1.0 + z)) t_5 = Float64(t_4 - sqrt(z)) t_6 = Float64(t_2 + Float64(t_5 + Float64(Float64(t_1 - sqrt(x)) + Float64(t_3 - sqrt(y))))) tmp = 0.0 if (t_6 <= 0.0001) tmp = Float64(t_2 + Float64(t_5 + Float64(1.0 / Float64(sqrt(x) + t_1)))); elseif (t_6 <= 2.0) tmp = Float64(t_2 + Float64(t_1 - Float64(sqrt(x) + Float64(-1.0 / Float64(sqrt(y) + t_3))))); elseif (t_6 <= 2.9999999) tmp = Float64(1.0 + Float64(Float64(t_1 + fma(0.5, y, t_4)) - Float64(sqrt(x) + Float64(Float64(z - y) / Float64(sqrt(z) - sqrt(y)))))); else tmp = Float64(t_2 + Float64(Float64(2.0 + Float64(t_3 - sqrt(x))) - Float64(sqrt(y) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 + N[(t$95$5 + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0001], N[(t$95$2 + N[(t$95$5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0], N[(t$95$2 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[(-1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.9999999], N[(1.0 + N[(N[(t$95$1 + N[(0.5 * y + t$95$4), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[(z - y), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(2.0 + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{1 + z}\\
t_5 := t\_4 - \sqrt{z}\\
t_6 := t\_2 + \left(t\_5 + \left(\left(t\_1 - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_6 \leq 0.0001:\\
\;\;\;\;t\_2 + \left(t\_5 + \frac{1}{\sqrt{x} + t\_1}\right)\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;t\_2 + \left(t\_1 - \left(\sqrt{x} + \frac{-1}{\sqrt{y} + t\_3}\right)\right)\\
\mathbf{elif}\;t\_6 \leq 2.9999999:\\
\;\;\;\;1 + \left(\left(t\_1 + \mathsf{fma}\left(0.5, y, t\_4\right)\right) - \left(\sqrt{x} + \frac{z - y}{\sqrt{z} - \sqrt{y}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(2 + \left(t\_3 - \sqrt{x}\right)\right) - \left(\sqrt{y} + \sqrt{z}\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))) < 1.00000000000000005e-4Initial program 10.8%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites15.5%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6458.3
Applied rewrites58.3%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6456.6
Applied rewrites56.6%
if 1.00000000000000005e-4 < (+.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 97.1%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.5
Applied rewrites97.5%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6446.9
Applied rewrites46.9%
if 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))) < 2.99999990000000016Initial program 91.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6443.9
Applied rewrites43.9%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6432.5
Applied rewrites32.5%
lift-sqrt.f64N/A
lift-sqrt.f64N/A
+-commutativeN/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--.f6431.5
Applied rewrites31.5%
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 98.1%
Taylor expanded in z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.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
lower-sqrt.f64N/A
lower-sqrt.f6451.8
Applied rewrites51.8%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6448.0
Applied rewrites48.0%
Final simplification46.9%
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 x)))
(t_2 (- t_1 (sqrt x)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (sqrt x) (sqrt y)))
(t_6 (sqrt (+ 1.0 z)))
(t_7
(+ (- t_3 (sqrt t)) (+ (- t_6 (sqrt z)) (+ t_2 (- t_4 (sqrt y)))))))
(if (<= t_7 1.0)
(+ t_2 (* 0.5 (sqrt (/ 1.0 t))))
(if (<= t_7 2.0002)
(- (+ t_1 (fma 0.5 (sqrt (/ 1.0 z)) t_4)) t_5)
(if (<= t_7 3.0)
(- (+ 2.0 (fma y 0.5 t_6)) (+ (sqrt x) (+ (sqrt y) (sqrt z))))
(- (+ t_3 3.0) (+ (sqrt t) (+ (sqrt z) t_5))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = t_1 - sqrt(x);
double t_3 = sqrt((1.0 + t));
double t_4 = sqrt((1.0 + y));
double t_5 = sqrt(x) + sqrt(y);
double t_6 = sqrt((1.0 + z));
double t_7 = (t_3 - sqrt(t)) + ((t_6 - sqrt(z)) + (t_2 + (t_4 - sqrt(y))));
double tmp;
if (t_7 <= 1.0) {
tmp = t_2 + (0.5 * sqrt((1.0 / t)));
} else if (t_7 <= 2.0002) {
tmp = (t_1 + fma(0.5, sqrt((1.0 / z)), t_4)) - t_5;
} else if (t_7 <= 3.0) {
tmp = (2.0 + fma(y, 0.5, t_6)) - (sqrt(x) + (sqrt(y) + sqrt(z)));
} else {
tmp = (t_3 + 3.0) - (sqrt(t) + (sqrt(z) + t_5));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = Float64(t_1 - sqrt(x)) t_3 = sqrt(Float64(1.0 + t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(sqrt(x) + sqrt(y)) t_6 = sqrt(Float64(1.0 + z)) t_7 = Float64(Float64(t_3 - sqrt(t)) + Float64(Float64(t_6 - sqrt(z)) + Float64(t_2 + Float64(t_4 - sqrt(y))))) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(t_2 + Float64(0.5 * sqrt(Float64(1.0 / t)))); elseif (t_7 <= 2.0002) tmp = Float64(Float64(t_1 + fma(0.5, sqrt(Float64(1.0 / z)), t_4)) - t_5); elseif (t_7 <= 3.0) tmp = Float64(Float64(2.0 + fma(y, 0.5, t_6)) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); else tmp = Float64(Float64(t_3 + 3.0) - Float64(sqrt(t) + Float64(sqrt(z) + t_5))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$6 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(t$95$2 + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 2.0002], N[(N[(t$95$1 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 3.0], N[(N[(2.0 + N[(y * 0.5 + t$95$6), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$3 + 3.0), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := t\_1 - \sqrt{x}\\
t_3 := \sqrt{1 + t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \sqrt{x} + \sqrt{y}\\
t_6 := \sqrt{1 + z}\\
t_7 := \left(t\_3 - \sqrt{t}\right) + \left(\left(t\_6 - \sqrt{z}\right) + \left(t\_2 + \left(t\_4 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;t\_2 + 0.5 \cdot \sqrt{\frac{1}{t}}\\
\mathbf{elif}\;t\_7 \leq 2.0002:\\
\;\;\;\;\left(t\_1 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_4\right)\right) - t\_5\\
\mathbf{elif}\;t\_7 \leq 3:\\
\;\;\;\;\left(2 + \mathsf{fma}\left(y, 0.5, t\_6\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_3 + 3\right) - \left(\sqrt{t} + \left(\sqrt{z} + t\_5\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 82.3%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites21.1%
Taylor expanded in t around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6422.1
Applied rewrites22.1%
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))) < 2.00019999999999998Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.4
Applied rewrites15.4%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.2
Applied rewrites25.2%
if 2.00019999999999998 < (+.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 97.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6438.0
Applied rewrites38.0%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6438.2
Applied rewrites38.2%
Taylor expanded in x around 0
lower--.f64N/A
lower-+.f64N/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-sqrt.f6429.1
Applied rewrites29.1%
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 z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.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
lower-sqrt.f64N/A
lower-sqrt.f6492.1
Applied rewrites92.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6488.2
Applied rewrites88.2%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6482.6
Applied rewrites82.6%
Final simplification28.9%
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 x) (sqrt y)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (sqrt (+ 1.0 z)))
(t_6
(+
(- t_3 (sqrt t))
(+ (- t_5 (sqrt z)) (+ (- t_2 (sqrt x)) (- t_4 (sqrt y)))))))
(if (<= t_6 2.0)
(+ t_2 (- t_4 t_1))
(if (<= t_6 3.0)
(- (+ 2.0 (fma y 0.5 t_5)) (+ (sqrt x) (+ (sqrt y) (sqrt z))))
(- (+ t_3 3.0) (+ (sqrt t) (+ (sqrt z) t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(x) + sqrt(y);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t));
double t_4 = sqrt((1.0 + y));
double t_5 = sqrt((1.0 + z));
double t_6 = (t_3 - sqrt(t)) + ((t_5 - sqrt(z)) + ((t_2 - sqrt(x)) + (t_4 - sqrt(y))));
double tmp;
if (t_6 <= 2.0) {
tmp = t_2 + (t_4 - t_1);
} else if (t_6 <= 3.0) {
tmp = (2.0 + fma(y, 0.5, t_5)) - (sqrt(x) + (sqrt(y) + sqrt(z)));
} else {
tmp = (t_3 + 3.0) - (sqrt(t) + (sqrt(z) + t_1));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(x) + sqrt(y)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(1.0 + t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = sqrt(Float64(1.0 + z)) t_6 = Float64(Float64(t_3 - sqrt(t)) + Float64(Float64(t_5 - sqrt(z)) + Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))))) tmp = 0.0 if (t_6 <= 2.0) tmp = Float64(t_2 + Float64(t_4 - t_1)); elseif (t_6 <= 3.0) tmp = Float64(Float64(2.0 + fma(y, 0.5, t_5)) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); else tmp = Float64(Float64(t_3 + 3.0) - Float64(sqrt(t) + Float64(sqrt(z) + t_1))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 2.0], N[(t$95$2 + N[(t$95$4 - t$95$1), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 3.0], N[(N[(2.0 + N[(y * 0.5 + t$95$5), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$3 + 3.0), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x} + \sqrt{y}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \sqrt{1 + z}\\
t_6 := \left(t\_3 - \sqrt{t}\right) + \left(\left(t\_5 - \sqrt{z}\right) + \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_6 \leq 2:\\
\;\;\;\;t\_2 + \left(t\_4 - t\_1\right)\\
\mathbf{elif}\;t\_6 \leq 3:\\
\;\;\;\;\left(2 + \mathsf{fma}\left(y, 0.5, t\_5\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_3 + 3\right) - \left(\sqrt{t} + \left(\sqrt{z} + t\_1\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))) < 2Initial program 90.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.3
Applied rewrites10.3%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.1
Applied rewrites25.1%
if 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))) < 3Initial program 96.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6437.5
Applied rewrites37.5%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6437.6
Applied rewrites37.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-+.f64N/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-sqrt.f6428.2
Applied rewrites28.2%
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 z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.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
lower-sqrt.f64N/A
lower-sqrt.f6492.1
Applied rewrites92.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6488.2
Applied rewrites88.2%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6482.6
Applied rewrites82.6%
Final simplification29.6%
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 (+ 1.0 z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_5 2.0)
(+ t_3 (- t_4 (+ (sqrt x) (/ -1.0 (+ (sqrt y) t_1)))))
(if (<= t_5 2.9999999)
(+
1.0
(-
(+ t_4 (fma 0.5 y t_2))
(+ (sqrt x) (/ (- z y) (- (sqrt z) (sqrt y))))))
(+ t_3 (- (+ 2.0 (- t_1 (sqrt x))) (+ (sqrt y) (sqrt z))))))))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((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_5 <= 2.0) {
tmp = t_3 + (t_4 - (sqrt(x) + (-1.0 / (sqrt(y) + t_1))));
} else if (t_5 <= 2.9999999) {
tmp = 1.0 + ((t_4 + fma(0.5, y, t_2)) - (sqrt(x) + ((z - y) / (sqrt(z) - sqrt(y)))));
} else {
tmp = t_3 + ((2.0 + (t_1 - sqrt(x))) - (sqrt(y) + sqrt(z)));
}
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(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_5 <= 2.0) tmp = Float64(t_3 + Float64(t_4 - Float64(sqrt(x) + Float64(-1.0 / Float64(sqrt(y) + t_1))))); elseif (t_5 <= 2.9999999) tmp = Float64(1.0 + Float64(Float64(t_4 + fma(0.5, y, t_2)) - Float64(sqrt(x) + Float64(Float64(z - y) / Float64(sqrt(z) - sqrt(y)))))); else tmp = Float64(t_3 + Float64(Float64(2.0 + Float64(t_1 - sqrt(x))) - Float64(sqrt(y) + sqrt(z)))); 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[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 2.0], N[(t$95$3 + N[(t$95$4 - N[(N[Sqrt[x], $MachinePrecision] + N[(-1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.9999999], N[(1.0 + N[(N[(t$95$4 + N[(0.5 * y + t$95$2), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[(z - y), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(2.0 + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_5 \leq 2:\\
\;\;\;\;t\_3 + \left(t\_4 - \left(\sqrt{x} + \frac{-1}{\sqrt{y} + t\_1}\right)\right)\\
\mathbf{elif}\;t\_5 \leq 2.9999999:\\
\;\;\;\;1 + \left(\left(t\_4 + \mathsf{fma}\left(0.5, y, t\_2\right)\right) - \left(\sqrt{x} + \frac{z - y}{\sqrt{z} - \sqrt{y}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(2 + \left(t\_1 - \sqrt{x}\right)\right) - \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 92.0%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6492.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6492.3
Applied rewrites92.3%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6445.0
Applied rewrites45.0%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.99999990000000016Initial program 91.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6463.5
Applied rewrites63.5%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6440.2
Applied rewrites40.2%
lift-sqrt.f64N/A
lift-sqrt.f64N/A
+-commutativeN/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--.f6440.2
Applied rewrites40.2%
if 2.99999990000000016 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.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
lower-sqrt.f64N/A
lower-sqrt.f6498.7
Applied rewrites98.7%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6498.7
Applied rewrites98.7%
Final simplification50.7%
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 (+ 1.0 x)))
(t_3 (- t_2 (sqrt x)))
(t_4 (+ (- (sqrt (+ 1.0 z)) (sqrt z)) (+ t_3 (- t_1 (sqrt y))))))
(if (<= t_4 1.0)
(+ t_3 (* 0.5 (sqrt (/ 1.0 t))))
(if (<= t_4 2.5)
(- (+ t_2 (fma 0.5 (sqrt (/ 1.0 z)) t_1)) (+ (sqrt x) (sqrt y)))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(- (+ 2.0 (- t_1 (sqrt x))) (+ (sqrt y) (sqrt z))))))))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 + x));
double t_3 = t_2 - sqrt(x);
double t_4 = (sqrt((1.0 + z)) - sqrt(z)) + (t_3 + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.0) {
tmp = t_3 + (0.5 * sqrt((1.0 / t)));
} else if (t_4 <= 2.5) {
tmp = (t_2 + fma(0.5, sqrt((1.0 / z)), t_1)) - (sqrt(x) + sqrt(y));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((2.0 + (t_1 - sqrt(x))) - (sqrt(y) + sqrt(z)));
}
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 + x)) t_3 = Float64(t_2 - sqrt(x)) t_4 = Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(t_3 + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(t_3 + Float64(0.5 * sqrt(Float64(1.0 / t)))); elseif (t_4 <= 2.5) tmp = Float64(Float64(t_2 + fma(0.5, sqrt(Float64(1.0 / z)), t_1)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(2.0 + Float64(t_1 - sqrt(x))) - Float64(sqrt(y) + sqrt(z)))); 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 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(t$95$3 + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.5], N[(N[(t$95$2 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(2.0 + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + x}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \left(\sqrt{1 + z} - \sqrt{z}\right) + \left(t\_3 + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;t\_3 + 0.5 \cdot \sqrt{\frac{1}{t}}\\
\mathbf{elif}\;t\_4 \leq 2.5:\\
\;\;\;\;\left(t\_2 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(2 + \left(t\_1 - \sqrt{x}\right)\right) - \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 87.3%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites16.5%
Taylor expanded in t around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6416.8
Applied rewrites16.8%
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))) < 2.5Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.4
Applied rewrites20.4%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.6
Applied rewrites27.6%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.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
lower-sqrt.f64N/A
lower-sqrt.f6498.7
Applied rewrites98.7%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6498.0
Applied rewrites98.0%
Final simplification30.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= (+ t_2 (+ (- t_4 (sqrt x)) (- t_1 (sqrt y)))) 0.9995)
(+
t_3
(+ t_2 (/ (+ (sqrt y) (+ (sqrt x) 2.0)) (* (sqrt y) (+ (sqrt x) t_4)))))
(+
t_3
(+ t_2 (- (+ (fma x 0.5 1.0) (/ 1.0 (+ (sqrt y) t_1))) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double tmp;
if ((t_2 + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)))) <= 0.9995) {
tmp = t_3 + (t_2 + ((sqrt(y) + (sqrt(x) + 2.0)) / (sqrt(y) * (sqrt(x) + t_4))));
} else {
tmp = t_3 + (t_2 + ((fma(x, 0.5, 1.0) + (1.0 / (sqrt(y) + t_1))) - sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_2 + Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y)))) <= 0.9995) tmp = Float64(t_3 + Float64(t_2 + Float64(Float64(sqrt(y) + Float64(sqrt(x) + 2.0)) / Float64(sqrt(y) * Float64(sqrt(x) + t_4))))); else tmp = Float64(t_3 + Float64(t_2 + Float64(Float64(fma(x, 0.5, 1.0) + Float64(1.0 / Float64(sqrt(y) + t_1))) - sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.9995], N[(t$95$3 + N[(t$95$2 + N[(N[(N[Sqrt[y], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] * N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$2 + N[(N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_2 + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) \leq 0.9995:\\
\;\;\;\;t\_3 + \left(t\_2 + \frac{\sqrt{y} + \left(\sqrt{x} + 2\right)}{\sqrt{y} \cdot \left(\sqrt{x} + t\_4\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_2 + \left(\left(\mathsf{fma}\left(x, 0.5, 1\right) + \frac{1}{\sqrt{y} + t\_1}\right) - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99950000000000006Initial program 64.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites67.6%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6477.0
Applied rewrites77.0%
Taylor expanded in y around 0
lower-/.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6482.0
Applied rewrites82.0%
Taylor expanded in y around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6483.4
Applied rewrites83.4%
if 0.99950000000000006 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.3%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.5
Applied rewrites97.5%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6460.4
Applied rewrites60.4%
Final simplification63.6%
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 x))) (t_2 (sqrt (+ 1.0 y))) (t_3 (sqrt (+ 1.0 z))))
(if (<=
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- t_3 (sqrt z)) (+ (- t_1 (sqrt x)) (- t_2 (sqrt y)))))
2.0)
(+ t_1 (- t_2 (+ (sqrt x) (sqrt y))))
(- (+ 2.0 (fma y 0.5 t_3)) (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 + z));
double tmp;
if (((sqrt((1.0 + t)) - sqrt(t)) + ((t_3 - sqrt(z)) + ((t_1 - sqrt(x)) + (t_2 - sqrt(y))))) <= 2.0) {
tmp = t_1 + (t_2 - (sqrt(x) + sqrt(y)));
} else {
tmp = (2.0 + fma(y, 0.5, t_3)) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_1 - sqrt(x)) + Float64(t_2 - sqrt(y))))) <= 2.0) tmp = Float64(t_1 + Float64(t_2 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(2.0 + fma(y, 0.5, t_3)) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], N[(t$95$1 + N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + N[(y * 0.5 + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{1 + z}\\
\mathbf{if}\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_3 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\right)\right) \leq 2:\\
\;\;\;\;t\_1 + \left(t\_2 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(2 + \mathsf{fma}\left(y, 0.5, t\_3\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\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))) < 2Initial program 90.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.3
Applied rewrites10.3%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.1
Applied rewrites25.1%
if 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))) Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6433.7
Applied rewrites33.7%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6433.6
Applied rewrites33.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-+.f64N/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-sqrt.f6426.1
Applied rewrites26.1%
Final simplification25.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt y) (sqrt (+ 1.0 y)))))
(+
(+
(/ (+ (+ 1.0 (sqrt x)) t_1) (* t_1 (+ (sqrt x) (sqrt (+ 1.0 x)))))
(- (sqrt (+ 1.0 z)) (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt((1.0 + y));
return ((((1.0 + sqrt(x)) + t_1) / (t_1 * (sqrt(x) + sqrt((1.0 + x))))) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
t_1 = sqrt(y) + sqrt((1.0d0 + y))
code = ((((1.0d0 + sqrt(x)) + t_1) / (t_1 * (sqrt(x) + sqrt((1.0d0 + x))))) + (sqrt((1.0d0 + z)) - sqrt(z))) + (sqrt((1.0d0 + t)) - sqrt(t))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt(y) + Math.sqrt((1.0 + y));
return ((((1.0 + Math.sqrt(x)) + t_1) / (t_1 * (Math.sqrt(x) + Math.sqrt((1.0 + x))))) + (Math.sqrt((1.0 + z)) - Math.sqrt(z))) + (Math.sqrt((1.0 + t)) - Math.sqrt(t));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt(y) + math.sqrt((1.0 + y)) return ((((1.0 + math.sqrt(x)) + t_1) / (t_1 * (math.sqrt(x) + math.sqrt((1.0 + x))))) + (math.sqrt((1.0 + z)) - math.sqrt(z))) + (math.sqrt((1.0 + t)) - math.sqrt(t))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(Float64(1.0 + y))) return Float64(Float64(Float64(Float64(Float64(1.0 + sqrt(x)) + t_1) / Float64(t_1 * Float64(sqrt(x) + sqrt(Float64(1.0 + x))))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
t_1 = sqrt(y) + sqrt((1.0 + y));
tmp = ((((1.0 + sqrt(x)) + t_1) / (t_1 * (sqrt(x) + sqrt((1.0 + x))))) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
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[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(1.0 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] / N[(t$95$1 * N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $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{y} + \sqrt{1 + y}\\
\left(\frac{\left(1 + \sqrt{x}\right) + t\_1}{t\_1 \cdot \left(\sqrt{x} + \sqrt{1 + x}\right)} + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)
\end{array}
\end{array}
Initial program 92.7%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites93.4%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6473.9
Applied rewrites73.9%
Final simplification73.9%
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 z)) (sqrt z)))
(t_2 (/ 1.0 (+ (sqrt y) (sqrt (+ 1.0 y)))))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- (sqrt (+ 1.0 x)) (sqrt x)) 0.5)
(+ t_3 (+ t_1 (fma 0.5 (sqrt (/ 1.0 x)) t_2)))
(+ t_3 (+ t_1 (- (+ (fma x 0.5 1.0) t_2) (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 + z)) - sqrt(z);
double t_2 = 1.0 / (sqrt(y) + sqrt((1.0 + y)));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((sqrt((1.0 + x)) - sqrt(x)) <= 0.5) {
tmp = t_3 + (t_1 + fma(0.5, sqrt((1.0 / x)), t_2));
} else {
tmp = t_3 + (t_1 + ((fma(x, 0.5, 1.0) + t_2) - sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y)))) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) <= 0.5) tmp = Float64(t_3 + Float64(t_1 + fma(0.5, sqrt(Float64(1.0 / x)), t_2))); else tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(fma(x, 0.5, 1.0) + t_2) - sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.5], N[(t$95$3 + N[(t$95$1 + N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(N[(N[(x * 0.5 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \frac{1}{\sqrt{y} + \sqrt{1 + y}}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;\sqrt{1 + x} - \sqrt{x} \leq 0.5:\\
\;\;\;\;t\_3 + \left(t\_1 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{x}}, t\_2\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(\mathsf{fma}\left(x, 0.5, 1\right) + t\_2\right) - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.5Initial program 87.3%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6487.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6487.9
Applied rewrites87.9%
Taylor expanded in x around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6494.8
Applied rewrites94.8%
if 0.5 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.8%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6498.0
Applied rewrites98.0%
Final simplification96.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- t_2 (sqrt x)) 0.9995)
(+ t_3 (+ t_1 (/ 1.0 (+ (sqrt x) t_2))))
(+
t_3
(+
t_1
(-
(+ (fma x 0.5 1.0) (/ 1.0 (+ (sqrt y) (sqrt (+ 1.0 y)))))
(sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((t_2 - sqrt(x)) <= 0.9995) {
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
} else {
tmp = t_3 + (t_1 + ((fma(x, 0.5, 1.0) + (1.0 / (sqrt(y) + sqrt((1.0 + y))))) - sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.9995) tmp = Float64(t_3 + Float64(t_1 + Float64(1.0 / Float64(sqrt(x) + t_2)))); else tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(fma(x, 0.5, 1.0) + Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y))))) - sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.9995], N[(t$95$3 + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.9995:\\
\;\;\;\;t\_3 + \left(t\_1 + \frac{1}{\sqrt{x} + t\_2}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(\mathsf{fma}\left(x, 0.5, 1\right) + \frac{1}{\sqrt{y} + \sqrt{1 + y}}\right) - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.99950000000000006Initial program 87.3%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.7%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6449.3
Applied rewrites49.3%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6446.2
Applied rewrites46.2%
if 0.99950000000000006 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.8%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6498.0
Applied rewrites98.0%
Final simplification72.7%
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 (+ 1.0 z))) (t_3 (sqrt (+ 1.0 x))))
(if (<= (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y)))) 2.0)
(+ t_3 (- t_1 (+ (sqrt x) (sqrt y))))
(+ (+ t_1 t_2) (- t_3 (sqrt z))))))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((1.0 + x));
double tmp;
if (((t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))) <= 2.0) {
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_1 + t_2) + (t_3 - sqrt(z));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((1.0d0 + x))
if (((t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))) <= 2.0d0) then
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)))
else
tmp = (t_1 + t_2) + (t_3 - sqrt(z))
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((1.0 + z));
double t_3 = Math.sqrt((1.0 + x));
double tmp;
if (((t_2 - Math.sqrt(z)) + ((t_3 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)))) <= 2.0) {
tmp = t_3 + (t_1 - (Math.sqrt(x) + Math.sqrt(y)));
} else {
tmp = (t_1 + t_2) + (t_3 - Math.sqrt(z));
}
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((1.0 + z)) t_3 = math.sqrt((1.0 + x)) tmp = 0 if ((t_2 - math.sqrt(z)) + ((t_3 - math.sqrt(x)) + (t_1 - math.sqrt(y)))) <= 2.0: tmp = t_3 + (t_1 - (math.sqrt(x) + math.sqrt(y))) else: tmp = (t_1 + t_2) + (t_3 - math.sqrt(z)) 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 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) <= 2.0) tmp = Float64(t_3 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_1 + t_2) + Float64(t_3 - sqrt(z))); 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((1.0 + z));
t_3 = sqrt((1.0 + x));
tmp = 0.0;
if (((t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))) <= 2.0)
tmp = t_3 + (t_1 - (sqrt(x) + sqrt(y)));
else
tmp = (t_1 + t_2) + (t_3 - sqrt(z));
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[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], N[(t$95$3 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + t$95$2), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + x}\\
\mathbf{if}\;\left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) \leq 2:\\
\;\;\;\;t\_3 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + t\_2\right) + \left(t\_3 - \sqrt{z}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 92.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.5
Applied rewrites10.5%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.3
Applied rewrites23.3%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6459.7
Applied rewrites59.7%
Taylor expanded in z around inf
lower-sqrt.f6450.0
Applied rewrites50.0%
Final simplification26.9%
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 t)) (sqrt t))))
(if (<= x 3.8e-7)
(+
t_1
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(- (+ (fma x 0.5 1.0) (/ 1.0 (+ (sqrt y) (sqrt (+ 1.0 y))))) (sqrt x))))
(+
t_1
(+
(/
(+ (sqrt y) (+ (sqrt x) 2.0))
(* (+ 1.0 (sqrt y)) (+ (sqrt x) (sqrt (+ 1.0 x)))))
(* 0.5 (sqrt (/ 1.0 z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (x <= 3.8e-7) {
tmp = t_1 + ((sqrt((1.0 + z)) - sqrt(z)) + ((fma(x, 0.5, 1.0) + (1.0 / (sqrt(y) + sqrt((1.0 + y))))) - sqrt(x)));
} else {
tmp = t_1 + (((sqrt(y) + (sqrt(x) + 2.0)) / ((1.0 + sqrt(y)) * (sqrt(x) + sqrt((1.0 + x))))) + (0.5 * sqrt((1.0 / z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (x <= 3.8e-7) tmp = Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(fma(x, 0.5, 1.0) + Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y))))) - sqrt(x)))); else tmp = Float64(t_1 + Float64(Float64(Float64(sqrt(y) + Float64(sqrt(x) + 2.0)) / Float64(Float64(1.0 + sqrt(y)) * Float64(sqrt(x) + sqrt(Float64(1.0 + x))))) + Float64(0.5 * sqrt(Float64(1.0 / z))))); 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[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 3.8e-7], N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(N[(N[(N[Sqrt[y], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $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 + t} - \sqrt{t}\\
\mathbf{if}\;x \leq 3.8 \cdot 10^{-7}:\\
\;\;\;\;t\_1 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(\mathsf{fma}\left(x, 0.5, 1\right) + \frac{1}{\sqrt{y} + \sqrt{1 + y}}\right) - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\frac{\sqrt{y} + \left(\sqrt{x} + 2\right)}{\left(1 + \sqrt{y}\right) \cdot \left(\sqrt{x} + \sqrt{1 + x}\right)} + 0.5 \cdot \sqrt{\frac{1}{z}}\right)\\
\end{array}
\end{array}
if x < 3.80000000000000015e-7Initial program 97.8%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6498.0
Applied rewrites98.0%
if 3.80000000000000015e-7 < x Initial program 87.3%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.7%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6449.3
Applied rewrites49.3%
Taylor expanded in y around 0
lower-/.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6451.1
Applied rewrites51.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6434.4
Applied rewrites34.4%
Final simplification66.9%
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 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= y 2.3e+17)
(+ t_3 (+ t_1 (+ (- t_2 (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y)))))
(+ t_3 (+ t_1 (/ 1.0 (+ (sqrt x) t_2)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (y <= 2.3e+17) {
tmp = t_3 + (t_1 + ((t_2 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y))));
} else {
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
if (y <= 2.3d+17) then
tmp = t_3 + (t_1 + ((t_2 - sqrt(x)) + (sqrt((1.0d0 + y)) - sqrt(y))))
else
tmp = t_3 + (t_1 + (1.0d0 / (sqrt(x) + t_2)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (y <= 2.3e+17) {
tmp = t_3 + (t_1 + ((t_2 - Math.sqrt(x)) + (Math.sqrt((1.0 + y)) - Math.sqrt(y))));
} else {
tmp = t_3 + (t_1 + (1.0 / (Math.sqrt(x) + t_2)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if y <= 2.3e+17: tmp = t_3 + (t_1 + ((t_2 - math.sqrt(x)) + (math.sqrt((1.0 + y)) - math.sqrt(y)))) else: tmp = t_3 + (t_1 + (1.0 / (math.sqrt(x) + t_2))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (y <= 2.3e+17) tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(t_2 - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))))); else tmp = Float64(t_3 + Float64(t_1 + Float64(1.0 / Float64(sqrt(x) + t_2)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (y <= 2.3e+17)
tmp = t_3 + (t_1 + ((t_2 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y))));
else
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 2.3e+17], N[(t$95$3 + N[(t$95$1 + N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;y \leq 2.3 \cdot 10^{+17}:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(t\_2 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \frac{1}{\sqrt{x} + t\_2}\right)\\
\end{array}
\end{array}
if y < 2.3e17Initial program 96.8%
if 2.3e17 < y Initial program 87.4%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites87.9%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6493.7
Applied rewrites93.7%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6493.4
Applied rewrites93.4%
Final simplification95.3%
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 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y))))
(if (<= y 2.85e-8)
(+ t_3 (+ t_1 (- (- 1.0 (sqrt x)) (- (sqrt y) t_4))))
(if (<= y 5.3e+29)
(+ t_3 (- t_2 (+ (sqrt x) (/ -1.0 (+ (sqrt y) t_4)))))
(+ t_3 (+ t_1 (/ 1.0 (+ (sqrt x) t_2))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double tmp;
if (y <= 2.85e-8) {
tmp = t_3 + (t_1 + ((1.0 - sqrt(x)) - (sqrt(y) - t_4)));
} else if (y <= 5.3e+29) {
tmp = t_3 + (t_2 - (sqrt(x) + (-1.0 / (sqrt(y) + t_4))));
} else {
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + y))
if (y <= 2.85d-8) then
tmp = t_3 + (t_1 + ((1.0d0 - sqrt(x)) - (sqrt(y) - t_4)))
else if (y <= 5.3d+29) then
tmp = t_3 + (t_2 - (sqrt(x) + ((-1.0d0) / (sqrt(y) + t_4))))
else
tmp = t_3 + (t_1 + (1.0d0 / (sqrt(x) + t_2)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + y));
double tmp;
if (y <= 2.85e-8) {
tmp = t_3 + (t_1 + ((1.0 - Math.sqrt(x)) - (Math.sqrt(y) - t_4)));
} else if (y <= 5.3e+29) {
tmp = t_3 + (t_2 - (Math.sqrt(x) + (-1.0 / (Math.sqrt(y) + t_4))));
} else {
tmp = t_3 + (t_1 + (1.0 / (Math.sqrt(x) + t_2)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + y)) tmp = 0 if y <= 2.85e-8: tmp = t_3 + (t_1 + ((1.0 - math.sqrt(x)) - (math.sqrt(y) - t_4))) elif y <= 5.3e+29: tmp = t_3 + (t_2 - (math.sqrt(x) + (-1.0 / (math.sqrt(y) + t_4)))) else: tmp = t_3 + (t_1 + (1.0 / (math.sqrt(x) + t_2))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (y <= 2.85e-8) tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(1.0 - sqrt(x)) - Float64(sqrt(y) - t_4)))); elseif (y <= 5.3e+29) tmp = Float64(t_3 + Float64(t_2 - Float64(sqrt(x) + Float64(-1.0 / Float64(sqrt(y) + t_4))))); else tmp = Float64(t_3 + Float64(t_1 + Float64(1.0 / Float64(sqrt(x) + t_2)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + y));
tmp = 0.0;
if (y <= 2.85e-8)
tmp = t_3 + (t_1 + ((1.0 - sqrt(x)) - (sqrt(y) - t_4)));
elseif (y <= 5.3e+29)
tmp = t_3 + (t_2 - (sqrt(x) + (-1.0 / (sqrt(y) + t_4))));
else
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 2.85e-8], N[(t$95$3 + N[(t$95$1 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 5.3e+29], N[(t$95$3 + N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[(-1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
\mathbf{if}\;y \leq 2.85 \cdot 10^{-8}:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(1 - \sqrt{x}\right) - \left(\sqrt{y} - t\_4\right)\right)\right)\\
\mathbf{elif}\;y \leq 5.3 \cdot 10^{+29}:\\
\;\;\;\;t\_3 + \left(t\_2 - \left(\sqrt{x} + \frac{-1}{\sqrt{y} + t\_4}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \frac{1}{\sqrt{x} + t\_2}\right)\\
\end{array}
\end{array}
if y < 2.85000000000000004e-8Initial program 97.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
lower-sqrt.f6448.9
Applied rewrites48.9%
if 2.85000000000000004e-8 < y < 5.3e29Initial program 88.6%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.4
Applied rewrites96.4%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6434.8
Applied rewrites34.8%
if 5.3e29 < y Initial program 87.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.0%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6493.8
Applied rewrites93.8%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6493.6
Applied rewrites93.6%
Final simplification67.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= y 9e-37)
(+ t_3 (+ (+ 1.0 t_1) (- t_2 (+ (sqrt x) (+ (sqrt y) (sqrt z))))))
(if (<= y 5.3e+29)
(+ t_3 (- t_1 (+ (sqrt x) (/ -1.0 (+ (sqrt y) (sqrt (+ 1.0 y)))))))
(+ t_3 (+ (- t_2 (sqrt z)) (/ 1.0 (+ (sqrt x) t_1))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (y <= 9e-37) {
tmp = t_3 + ((1.0 + t_1) + (t_2 - (sqrt(x) + (sqrt(y) + sqrt(z)))));
} else if (y <= 5.3e+29) {
tmp = t_3 + (t_1 - (sqrt(x) + (-1.0 / (sqrt(y) + sqrt((1.0 + y))))));
} else {
tmp = t_3 + ((t_2 - sqrt(z)) + (1.0 / (sqrt(x) + t_1)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
if (y <= 9d-37) then
tmp = t_3 + ((1.0d0 + t_1) + (t_2 - (sqrt(x) + (sqrt(y) + sqrt(z)))))
else if (y <= 5.3d+29) then
tmp = t_3 + (t_1 - (sqrt(x) + ((-1.0d0) / (sqrt(y) + sqrt((1.0d0 + y))))))
else
tmp = t_3 + ((t_2 - sqrt(z)) + (1.0d0 / (sqrt(x) + t_1)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (y <= 9e-37) {
tmp = t_3 + ((1.0 + t_1) + (t_2 - (Math.sqrt(x) + (Math.sqrt(y) + Math.sqrt(z)))));
} else if (y <= 5.3e+29) {
tmp = t_3 + (t_1 - (Math.sqrt(x) + (-1.0 / (Math.sqrt(y) + Math.sqrt((1.0 + y))))));
} else {
tmp = t_3 + ((t_2 - Math.sqrt(z)) + (1.0 / (Math.sqrt(x) + t_1)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if y <= 9e-37: tmp = t_3 + ((1.0 + t_1) + (t_2 - (math.sqrt(x) + (math.sqrt(y) + math.sqrt(z))))) elif y <= 5.3e+29: tmp = t_3 + (t_1 - (math.sqrt(x) + (-1.0 / (math.sqrt(y) + math.sqrt((1.0 + y)))))) else: tmp = t_3 + ((t_2 - math.sqrt(z)) + (1.0 / (math.sqrt(x) + t_1))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (y <= 9e-37) tmp = Float64(t_3 + Float64(Float64(1.0 + t_1) + Float64(t_2 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))))); elseif (y <= 5.3e+29) tmp = Float64(t_3 + Float64(t_1 - Float64(sqrt(x) + Float64(-1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y))))))); else tmp = Float64(t_3 + Float64(Float64(t_2 - sqrt(z)) + Float64(1.0 / Float64(sqrt(x) + t_1)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (y <= 9e-37)
tmp = t_3 + ((1.0 + t_1) + (t_2 - (sqrt(x) + (sqrt(y) + sqrt(z)))));
elseif (y <= 5.3e+29)
tmp = t_3 + (t_1 - (sqrt(x) + (-1.0 / (sqrt(y) + sqrt((1.0 + y))))));
else
tmp = t_3 + ((t_2 - sqrt(z)) + (1.0 / (sqrt(x) + t_1)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 9e-37], N[(t$95$3 + N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 5.3e+29], N[(t$95$3 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[(-1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;y \leq 9 \cdot 10^{-37}:\\
\;\;\;\;t\_3 + \left(\left(1 + t\_1\right) + \left(t\_2 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\right)\\
\mathbf{elif}\;y \leq 5.3 \cdot 10^{+29}:\\
\;\;\;\;t\_3 + \left(t\_1 - \left(\sqrt{x} + \frac{-1}{\sqrt{y} + \sqrt{1 + y}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(t\_2 - \sqrt{z}\right) + \frac{1}{\sqrt{x} + t\_1}\right)\\
\end{array}
\end{array}
if y < 9.00000000000000081e-37Initial program 97.1%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6452.9
Applied rewrites52.9%
if 9.00000000000000081e-37 < y < 5.3e29Initial program 92.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.3
Applied rewrites97.3%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.3
Applied rewrites41.3%
if 5.3e29 < y Initial program 87.5%
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.0%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6493.8
Applied rewrites93.8%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6493.6
Applied rewrites93.6%
Final simplification69.4%
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 (+ 1.0 y)) (sqrt y)) 0.1) (+ 1.0 (- (sqrt z) (+ (sqrt x) (+ (sqrt y) (sqrt z))))) (+ 1.0 (- (fma y 0.5 (sqrt (+ 1.0 x))) (+ (sqrt x) (sqrt y))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if ((sqrt((1.0 + y)) - sqrt(y)) <= 0.1) {
tmp = 1.0 + (sqrt(z) - (sqrt(x) + (sqrt(y) + sqrt(z))));
} else {
tmp = 1.0 + (fma(y, 0.5, sqrt((1.0 + x))) - (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) <= 0.1) tmp = Float64(1.0 + Float64(sqrt(z) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); else tmp = Float64(1.0 + Float64(fma(y, 0.5, sqrt(Float64(1.0 + x))) - Float64(sqrt(x) + sqrt(y)))); 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[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.1], N[(1.0 + N[(N[Sqrt[z], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(y * 0.5 + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;\sqrt{1 + y} - \sqrt{y} \leq 0.1:\\
\;\;\;\;1 + \left(\sqrt{z} - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(y, 0.5, \sqrt{1 + x}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.10000000000000001Initial program 87.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.5
Applied rewrites4.5%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6411.8
Applied rewrites11.8%
Taylor expanded in z around inf
lower-sqrt.f6410.2
Applied rewrites10.2%
if 0.10000000000000001 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.0
Applied rewrites28.0%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6441.3
Applied rewrites41.3%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6445.2
Applied rewrites45.2%
Final simplification29.2%
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 (+ 1.0 y)) (sqrt y)) 0.1) (+ 1.0 (- (fma y 0.5 (sqrt (+ 1.0 z))) (+ (sqrt y) (sqrt z)))) (+ 1.0 (- (fma y 0.5 (sqrt (+ 1.0 x))) (+ (sqrt x) (sqrt y))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if ((sqrt((1.0 + y)) - sqrt(y)) <= 0.1) {
tmp = 1.0 + (fma(y, 0.5, sqrt((1.0 + z))) - (sqrt(y) + sqrt(z)));
} else {
tmp = 1.0 + (fma(y, 0.5, sqrt((1.0 + x))) - (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) <= 0.1) tmp = Float64(1.0 + Float64(fma(y, 0.5, sqrt(Float64(1.0 + z))) - Float64(sqrt(y) + sqrt(z)))); else tmp = Float64(1.0 + Float64(fma(y, 0.5, sqrt(Float64(1.0 + x))) - Float64(sqrt(x) + sqrt(y)))); 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[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.1], N[(1.0 + N[(N[(y * 0.5 + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(y * 0.5 + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;\sqrt{1 + y} - \sqrt{y} \leq 0.1:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(y, 0.5, \sqrt{1 + z}\right) - \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(y, 0.5, \sqrt{1 + x}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.10000000000000001Initial program 87.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.5
Applied rewrites4.5%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6411.8
Applied rewrites11.8%
Taylor expanded in x around inf
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.3
Applied rewrites10.3%
if 0.10000000000000001 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.0
Applied rewrites28.0%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6441.3
Applied rewrites41.3%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6445.2
Applied rewrites45.2%
Final simplification29.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt x) (sqrt y))) (t_2 (sqrt (+ 1.0 y))))
(if (<= z 0.8)
(- (+ t_2 2.0) (+ (sqrt z) t_1))
(+ (sqrt (+ 1.0 x)) (- t_2 t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(x) + sqrt(y);
double t_2 = sqrt((1.0 + y));
double tmp;
if (z <= 0.8) {
tmp = (t_2 + 2.0) - (sqrt(z) + t_1);
} else {
tmp = sqrt((1.0 + x)) + (t_2 - t_1);
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt(x) + sqrt(y)
t_2 = sqrt((1.0d0 + y))
if (z <= 0.8d0) then
tmp = (t_2 + 2.0d0) - (sqrt(z) + t_1)
else
tmp = sqrt((1.0d0 + x)) + (t_2 - t_1)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt(x) + Math.sqrt(y);
double t_2 = Math.sqrt((1.0 + y));
double tmp;
if (z <= 0.8) {
tmp = (t_2 + 2.0) - (Math.sqrt(z) + t_1);
} else {
tmp = Math.sqrt((1.0 + x)) + (t_2 - t_1);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt(x) + math.sqrt(y) t_2 = math.sqrt((1.0 + y)) tmp = 0 if z <= 0.8: tmp = (t_2 + 2.0) - (math.sqrt(z) + t_1) else: tmp = math.sqrt((1.0 + x)) + (t_2 - t_1) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(x) + sqrt(y)) t_2 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (z <= 0.8) tmp = Float64(Float64(t_2 + 2.0) - Float64(sqrt(z) + t_1)); else tmp = Float64(sqrt(Float64(1.0 + x)) + Float64(t_2 - t_1)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt(x) + sqrt(y);
t_2 = sqrt((1.0 + y));
tmp = 0.0;
if (z <= 0.8)
tmp = (t_2 + 2.0) - (sqrt(z) + t_1);
else
tmp = sqrt((1.0 + x)) + (t_2 - t_1);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 0.8], N[(N[(t$95$2 + 2.0), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(t$95$2 - t$95$1), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x} + \sqrt{y}\\
t_2 := \sqrt{1 + y}\\
\mathbf{if}\;z \leq 0.8:\\
\;\;\;\;\left(t\_2 + 2\right) - \left(\sqrt{z} + t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{1 + x} + \left(t\_2 - t\_1\right)\\
\end{array}
\end{array}
if z < 0.80000000000000004Initial program 97.7%
Taylor expanded in z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.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
lower-sqrt.f64N/A
lower-sqrt.f6435.3
Applied rewrites35.3%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6430.5
Applied rewrites30.5%
Taylor expanded in t around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.5
Applied rewrites18.5%
if 0.80000000000000004 < z Initial program 88.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.4
Applied rewrites4.4%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6431.0
Applied rewrites31.0%
Final simplification25.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (sqrt (+ 1.0 x)) (- (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((1.0 + x)) + (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((1.0d0 + x)) + (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((1.0 + x)) + (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((1.0 + x)) + (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(sqrt(Float64(1.0 + x)) + Float64(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((1.0 + x)) + (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[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{1 + x} + \left(\sqrt{1 + y} - \left(\sqrt{x} + \sqrt{y}\right)\right)
\end{array}
Initial program 92.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.3
Applied rewrites17.3%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Applied rewrites22.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (fma y 0.5 (sqrt (+ 1.0 x))) (+ (sqrt x) (sqrt y)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + (fma(y, 0.5, sqrt((1.0 + x))) - (sqrt(x) + sqrt(y)));
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(fma(y, 0.5, sqrt(Float64(1.0 + x))) - Float64(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[(1.0 + N[(N[(y * 0.5 + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(\mathsf{fma}\left(y, 0.5, \sqrt{1 + x}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)
\end{array}
Initial program 92.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.3
Applied rewrites17.3%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6427.8
Applied rewrites27.8%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.6
Applied rewrites28.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (* y (- 0.5 (sqrt (/ 1.0 y))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + (y * (0.5 - sqrt((1.0 / 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 = 1.0d0 + (y * (0.5d0 - sqrt((1.0d0 / y))))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + (y * (0.5 - Math.sqrt((1.0 / y))));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + (y * (0.5 - math.sqrt((1.0 / y))))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(y * Float64(0.5 - sqrt(Float64(1.0 / y))))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + (y * (0.5 - sqrt((1.0 / y))));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 + N[(y * N[(0.5 - N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + y \cdot \left(0.5 - \sqrt{\frac{1}{y}}\right)
\end{array}
Initial program 92.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.3
Applied rewrites17.3%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/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-sqrt.f6427.8
Applied rewrites27.8%
Taylor expanded in y around inf
sub-negN/A
neg-mul-1N/A
rem-square-sqrtN/A
unpow2N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-/.f6419.5
Applied rewrites19.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (* 0.5 (sqrt (/ 1.0 z))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 * sqrt((1.0 / z));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 * sqrt((1.0d0 / z))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.5 * Math.sqrt((1.0 / z));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 * math.sqrt((1.0 / z))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 * sqrt(Float64(1.0 / z))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 * sqrt((1.0 / z));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
0.5 \cdot \sqrt{\frac{1}{z}}
\end{array}
Initial program 92.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.3
Applied rewrites17.3%
Taylor expanded in z around inf
lower--.f64N/A
Applied rewrites12.4%
Taylor expanded in z around 0
lower-/.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
unpow2N/A
lower-*.f643.1
Applied rewrites3.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f647.7
Applied rewrites7.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (/ 0.5 (sqrt t)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 / sqrt(t);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 / sqrt(t)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.5 / Math.sqrt(t);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 / math.sqrt(t)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 / sqrt(t)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 / sqrt(t);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 / N[Sqrt[t], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\frac{0.5}{\sqrt{t}}
\end{array}
Initial program 92.7%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites26.3%
Taylor expanded in t around 0
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f647.1
Applied rewrites7.1%
sqrt-divN/A
metadata-evalN/A
lift-sqrt.f64N/A
un-div-invN/A
lower-/.f647.1
Applied rewrites7.1%
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)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(-sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := (-N[Sqrt[x], $MachinePrecision])
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
-\sqrt{x}
\end{array}
Initial program 92.7%
Taylor expanded in z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.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
lower-sqrt.f64N/A
lower-sqrt.f6418.8
Applied rewrites18.8%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6416.7
Applied rewrites16.7%
Taylor expanded in x around inf
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f641.6
Applied rewrites1.6%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024214
(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))))