
(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 30 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (- t_1 (sqrt z)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) t_4))
(t_6 (sqrt (+ t 1.0))))
(if (<= t_5 0.995)
(+
(+ (fma (sqrt (pow y -1.0)) 0.5 (pow (+ t_2 (sqrt x)) -1.0)) t_4)
(- t_6 (sqrt t)))
(if (<= t_5 2.99999995)
(-
(+
(+ (pow (+ t_3 (sqrt y)) -1.0) (sqrt (+ 1.0 x)))
(pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(sqrt x))
(+
1.0
(-
(+ (+ (pow (+ t_6 (sqrt t)) -1.0) t_1) t_3)
(+ (+ (sqrt z) (sqrt y)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + y));
double t_4 = t_1 - sqrt(z);
double t_5 = ((t_2 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_4;
double t_6 = sqrt((t + 1.0));
double tmp;
if (t_5 <= 0.995) {
tmp = (fma(sqrt(pow(y, -1.0)), 0.5, pow((t_2 + sqrt(x)), -1.0)) + t_4) + (t_6 - sqrt(t));
} else if (t_5 <= 2.99999995) {
tmp = ((pow((t_3 + sqrt(y)), -1.0) + sqrt((1.0 + x))) + pow((sqrt((1.0 + z)) + sqrt(z)), -1.0)) - sqrt(x);
} else {
tmp = 1.0 + (((pow((t_6 + sqrt(t)), -1.0) + t_1) + t_3) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(t_1 - sqrt(z)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_4) t_6 = sqrt(Float64(t + 1.0)) tmp = 0.0 if (t_5 <= 0.995) tmp = Float64(Float64(fma(sqrt((y ^ -1.0)), 0.5, (Float64(t_2 + sqrt(x)) ^ -1.0)) + t_4) + Float64(t_6 - sqrt(t))); elseif (t_5 <= 2.99999995) tmp = Float64(Float64(Float64((Float64(t_3 + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) + (Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0)) - sqrt(x)); else tmp = Float64(1.0 + Float64(Float64(Float64((Float64(t_6 + sqrt(t)) ^ -1.0) + t_1) + t_3) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$5, 0.995], N[(N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Power[N[(t$95$2 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + N[(t$95$6 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.99999995], N[(N[(N[(N[Power[N[(t$95$3 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[(N[Power[N[(t$95$6 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $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{z + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + y}\\
t_4 := t\_1 - \sqrt{z}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_4\\
t_6 := \sqrt{t + 1}\\
\mathbf{if}\;t\_5 \leq 0.995:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, {\left(t\_2 + \sqrt{x}\right)}^{-1}\right) + t\_4\right) + \left(t\_6 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2.99999995:\\
\;\;\;\;\left(\left({\left(t\_3 + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) + {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(\left({\left(t\_6 + \sqrt{t}\right)}^{-1} + t\_1\right) + t\_3\right) - \left(\left(\sqrt{z} + \sqrt{y}\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))) < 0.994999999999999996Initial program 48.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites48.0%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6456.3
Applied rewrites56.3%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6462.4
Applied rewrites62.4%
if 0.994999999999999996 < (+.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))) < 2.99999994999999986Initial program 96.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites97.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites34.2%
if 2.99999994999999986 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites100.0%
Final simplification45.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt z) (sqrt y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ t 1.0)))
(t_4 (sqrt (pow z -1.0)))
(t_5 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_6 (- t_3 (sqrt t)))
(t_7
(+ (+ (+ t_5 (- (sqrt (+ y 1.0)) (sqrt y))) (- t_2 (sqrt z))) t_6)))
(if (<= t_7 1e-7)
(+ (* 0.5 (+ (sqrt (pow x -1.0)) t_4)) t_6)
(if (<= t_7 1.0)
(+ (/ (fma t_5 z (* 0.5 (sqrt z))) z) t_6)
(if (<= t_7 2.0001)
(-
(+ (sqrt (+ 1.0 x)) (fma t_4 0.5 (sqrt (+ 1.0 y))))
(+ (sqrt y) (sqrt x)))
(if (<= t_7 3.0005)
(-
(- (+ (fma (+ (sqrt (pow t -1.0)) x) 0.5 t_2) 1.0) (sqrt x))
(- t_1 1.0))
(+
2.0
(- (+ (fma 0.5 x t_2) t_3) (+ (+ t_1 (sqrt x)) (sqrt t))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(z) + sqrt(y);
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((t + 1.0));
double t_4 = sqrt(pow(z, -1.0));
double t_5 = sqrt((x + 1.0)) - sqrt(x);
double t_6 = t_3 - sqrt(t);
double t_7 = ((t_5 + (sqrt((y + 1.0)) - sqrt(y))) + (t_2 - sqrt(z))) + t_6;
double tmp;
if (t_7 <= 1e-7) {
tmp = (0.5 * (sqrt(pow(x, -1.0)) + t_4)) + t_6;
} else if (t_7 <= 1.0) {
tmp = (fma(t_5, z, (0.5 * sqrt(z))) / z) + t_6;
} else if (t_7 <= 2.0001) {
tmp = (sqrt((1.0 + x)) + fma(t_4, 0.5, sqrt((1.0 + y)))) - (sqrt(y) + sqrt(x));
} else if (t_7 <= 3.0005) {
tmp = ((fma((sqrt(pow(t, -1.0)) + x), 0.5, t_2) + 1.0) - sqrt(x)) - (t_1 - 1.0);
} else {
tmp = 2.0 + ((fma(0.5, x, t_2) + t_3) - ((t_1 + sqrt(x)) + sqrt(t)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(z) + sqrt(y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(t + 1.0)) t_4 = sqrt((z ^ -1.0)) t_5 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_6 = Float64(t_3 - sqrt(t)) t_7 = Float64(Float64(Float64(t_5 + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(t_2 - sqrt(z))) + t_6) tmp = 0.0 if (t_7 <= 1e-7) tmp = Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + t_4)) + t_6); elseif (t_7 <= 1.0) tmp = Float64(Float64(fma(t_5, z, Float64(0.5 * sqrt(z))) / z) + t_6); elseif (t_7 <= 2.0001) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + fma(t_4, 0.5, sqrt(Float64(1.0 + y)))) - Float64(sqrt(y) + sqrt(x))); elseif (t_7 <= 3.0005) tmp = Float64(Float64(Float64(fma(Float64(sqrt((t ^ -1.0)) + x), 0.5, t_2) + 1.0) - sqrt(x)) - Float64(t_1 - 1.0)); else tmp = Float64(2.0 + Float64(Float64(fma(0.5, x, t_2) + t_3) - Float64(Float64(t_1 + sqrt(x)) + sqrt(t)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(t$95$5 + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 1e-7], N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 1.0], N[(N[(N[(t$95$5 * z + N[(0.5 * N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 2.0001], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(t$95$4 * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 3.0005], N[(N[(N[(N[(N[(N[Sqrt[N[Power[t, -1.0], $MachinePrecision]], $MachinePrecision] + x), $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(t$95$1 - 1.0), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(N[(0.5 * x + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z} + \sqrt{y}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{t + 1}\\
t_4 := \sqrt{{z}^{-1}}\\
t_5 := \sqrt{x + 1} - \sqrt{x}\\
t_6 := t\_3 - \sqrt{t}\\
t_7 := \left(\left(t\_5 + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 10^{-7}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{x}^{-1}} + t\_4\right) + t\_6\\
\mathbf{elif}\;t\_7 \leq 1:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_5, z, 0.5 \cdot \sqrt{z}\right)}{z} + t\_6\\
\mathbf{elif}\;t\_7 \leq 2.0001:\\
\;\;\;\;\left(\sqrt{1 + x} + \mathsf{fma}\left(t\_4, 0.5, \sqrt{1 + y}\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_7 \leq 3.0005:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\sqrt{{t}^{-1}} + x, 0.5, t\_2\right) + 1\right) - \sqrt{x}\right) - \left(t\_1 - 1\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left(\mathsf{fma}\left(0.5, x, t\_2\right) + t\_3\right) - \left(\left(t\_1 + \sqrt{x}\right) + \sqrt{t}\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))) < 9.9999999999999995e-8Initial program 5.0%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.4
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites5.4%
Taylor expanded in x around inf
Applied rewrites57.3%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 93.0%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.5
Applied rewrites28.5%
Taylor expanded in y around inf
Applied rewrites40.7%
Taylor expanded in z around 0
Applied rewrites42.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial program 96.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.2
Applied rewrites6.2%
Taylor expanded in z around inf
Applied rewrites26.0%
if 2.00010000000000021 < (+.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))) < 3.00050000000000017Initial program 98.9%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites11.2%
Taylor expanded in t around inf
Applied rewrites32.5%
Taylor expanded in y around 0
Applied rewrites30.5%
if 3.00050000000000017 < (+.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 99.3%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites99.3%
Taylor expanded in y around 0
Applied rewrites85.3%
Final simplification37.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ x 1.0)))
(t_5
(+ (+ (+ (- t_4 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) t_2) t_3))
(t_6 (sqrt (+ 1.0 y))))
(if (<= t_5 0.995)
(+ (+ (pow (+ t_4 (sqrt x)) -1.0) t_2) t_3)
(if (<= t_5 1.05)
(+ (- (+ (pow (+ t_6 (sqrt y)) -1.0) (sqrt (+ 1.0 x))) (sqrt x)) t_3)
(if (<= t_5 3.0)
(- (+ (+ (pow (+ t_1 (sqrt z)) -1.0) t_6) t_4) (+ (sqrt y) (sqrt x)))
(-
(-
(+ (+ (sqrt (+ 1.0 z)) t_6) (sqrt (+ 1.0 t)))
(+ (sqrt x) (sqrt t)))
(- (+ (sqrt z) (sqrt y)) 1.0)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((x + 1.0));
double t_5 = (((t_4 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2) + t_3;
double t_6 = sqrt((1.0 + y));
double tmp;
if (t_5 <= 0.995) {
tmp = (pow((t_4 + sqrt(x)), -1.0) + t_2) + t_3;
} else if (t_5 <= 1.05) {
tmp = ((pow((t_6 + sqrt(y)), -1.0) + sqrt((1.0 + x))) - sqrt(x)) + t_3;
} else if (t_5 <= 3.0) {
tmp = ((pow((t_1 + sqrt(z)), -1.0) + t_6) + t_4) - (sqrt(y) + sqrt(x));
} else {
tmp = (((sqrt((1.0 + z)) + t_6) + sqrt((1.0 + t))) - (sqrt(x) + sqrt(t))) - ((sqrt(z) + sqrt(y)) - 1.0);
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = t_1 - sqrt(z)
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
t_4 = sqrt((x + 1.0d0))
t_5 = (((t_4 - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + t_2) + t_3
t_6 = sqrt((1.0d0 + y))
if (t_5 <= 0.995d0) then
tmp = (((t_4 + sqrt(x)) ** (-1.0d0)) + t_2) + t_3
else if (t_5 <= 1.05d0) then
tmp = ((((t_6 + sqrt(y)) ** (-1.0d0)) + sqrt((1.0d0 + x))) - sqrt(x)) + t_3
else if (t_5 <= 3.0d0) then
tmp = ((((t_1 + sqrt(z)) ** (-1.0d0)) + t_6) + t_4) - (sqrt(y) + sqrt(x))
else
tmp = (((sqrt((1.0d0 + z)) + t_6) + sqrt((1.0d0 + t))) - (sqrt(x) + sqrt(t))) - ((sqrt(z) + sqrt(y)) - 1.0d0)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_4 = Math.sqrt((x + 1.0));
double t_5 = (((t_4 - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + t_2) + t_3;
double t_6 = Math.sqrt((1.0 + y));
double tmp;
if (t_5 <= 0.995) {
tmp = (Math.pow((t_4 + Math.sqrt(x)), -1.0) + t_2) + t_3;
} else if (t_5 <= 1.05) {
tmp = ((Math.pow((t_6 + Math.sqrt(y)), -1.0) + Math.sqrt((1.0 + x))) - Math.sqrt(x)) + t_3;
} else if (t_5 <= 3.0) {
tmp = ((Math.pow((t_1 + Math.sqrt(z)), -1.0) + t_6) + t_4) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (((Math.sqrt((1.0 + z)) + t_6) + Math.sqrt((1.0 + t))) - (Math.sqrt(x) + Math.sqrt(t))) - ((Math.sqrt(z) + Math.sqrt(y)) - 1.0);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) t_4 = math.sqrt((x + 1.0)) t_5 = (((t_4 - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + t_2) + t_3 t_6 = math.sqrt((1.0 + y)) tmp = 0 if t_5 <= 0.995: tmp = (math.pow((t_4 + math.sqrt(x)), -1.0) + t_2) + t_3 elif t_5 <= 1.05: tmp = ((math.pow((t_6 + math.sqrt(y)), -1.0) + math.sqrt((1.0 + x))) - math.sqrt(x)) + t_3 elif t_5 <= 3.0: tmp = ((math.pow((t_1 + math.sqrt(z)), -1.0) + t_6) + t_4) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (((math.sqrt((1.0 + z)) + t_6) + math.sqrt((1.0 + t))) - (math.sqrt(x) + math.sqrt(t))) - ((math.sqrt(z) + math.sqrt(y)) - 1.0) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_2) + t_3) t_6 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_5 <= 0.995) tmp = Float64(Float64((Float64(t_4 + sqrt(x)) ^ -1.0) + t_2) + t_3); elseif (t_5 <= 1.05) tmp = Float64(Float64(Float64((Float64(t_6 + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - sqrt(x)) + t_3); elseif (t_5 <= 3.0) tmp = Float64(Float64(Float64((Float64(t_1 + sqrt(z)) ^ -1.0) + t_6) + t_4) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 + z)) + t_6) + sqrt(Float64(1.0 + t))) - Float64(sqrt(x) + sqrt(t))) - Float64(Float64(sqrt(z) + sqrt(y)) - 1.0)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = t_1 - sqrt(z);
t_3 = sqrt((t + 1.0)) - sqrt(t);
t_4 = sqrt((x + 1.0));
t_5 = (((t_4 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2) + t_3;
t_6 = sqrt((1.0 + y));
tmp = 0.0;
if (t_5 <= 0.995)
tmp = (((t_4 + sqrt(x)) ^ -1.0) + t_2) + t_3;
elseif (t_5 <= 1.05)
tmp = ((((t_6 + sqrt(y)) ^ -1.0) + sqrt((1.0 + x))) - sqrt(x)) + t_3;
elseif (t_5 <= 3.0)
tmp = ((((t_1 + sqrt(z)) ^ -1.0) + t_6) + t_4) - (sqrt(y) + sqrt(x));
else
tmp = (((sqrt((1.0 + z)) + t_6) + sqrt((1.0 + t))) - (sqrt(x) + sqrt(t))) - ((sqrt(z) + sqrt(y)) - 1.0);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$5, 0.995], N[(N[(N[Power[N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 1.05], N[(N[(N[(N[Power[N[(t$95$6 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 3.0], N[(N[(N[(N[Power[N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$6), $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + t$95$6), $MachinePrecision] + N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_2\right) + t\_3\\
t_6 := \sqrt{1 + y}\\
\mathbf{if}\;t\_5 \leq 0.995:\\
\;\;\;\;\left({\left(t\_4 + \sqrt{x}\right)}^{-1} + t\_2\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 1.05:\\
\;\;\;\;\left(\left({\left(t\_6 + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 3:\\
\;\;\;\;\left(\left({\left(t\_1 + \sqrt{z}\right)}^{-1} + t\_6\right) + t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\sqrt{1 + z} + t\_6\right) + \sqrt{1 + t}\right) - \left(\sqrt{x} + \sqrt{t}\right)\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) - 1\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))) < 0.994999999999999996Initial program 20.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites20.7%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6432.3
Applied rewrites32.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6429.4
Applied rewrites29.4%
if 0.994999999999999996 < (+.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))) < 1.05000000000000004Initial program 92.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6493.0
Applied rewrites93.0%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites93.3%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6444.2
Applied rewrites44.2%
if 1.05000000000000004 < (+.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 97.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.2
Applied rewrites98.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.6%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites97.5%
Final simplification39.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (sqrt (+ t 1.0)))
(t_6 (- t_5 (sqrt t)))
(t_7
(+ (+ (+ (- t_4 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) t_2) t_6)))
(if (<= t_7 0.995)
(+ (+ (pow (+ t_4 (sqrt x)) -1.0) t_2) t_6)
(if (<= t_7 1.05)
(+ (- (+ (pow (+ t_3 (sqrt y)) -1.0) (sqrt (+ 1.0 x))) (sqrt x)) t_6)
(if (<= t_7 3.0)
(- (+ (+ (pow (+ t_1 (sqrt z)) -1.0) t_3) t_4) (+ (sqrt y) (sqrt x)))
(+
2.0
(-
(+ (fma 0.5 x t_1) t_5)
(+ (+ (+ (sqrt z) (sqrt y)) (sqrt x)) (sqrt t)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((t + 1.0));
double t_6 = t_5 - sqrt(t);
double t_7 = (((t_4 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2) + t_6;
double tmp;
if (t_7 <= 0.995) {
tmp = (pow((t_4 + sqrt(x)), -1.0) + t_2) + t_6;
} else if (t_7 <= 1.05) {
tmp = ((pow((t_3 + sqrt(y)), -1.0) + sqrt((1.0 + x))) - sqrt(x)) + t_6;
} else if (t_7 <= 3.0) {
tmp = ((pow((t_1 + sqrt(z)), -1.0) + t_3) + t_4) - (sqrt(y) + sqrt(x));
} else {
tmp = 2.0 + ((fma(0.5, x, t_1) + t_5) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(1.0 + y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = sqrt(Float64(t + 1.0)) t_6 = Float64(t_5 - sqrt(t)) t_7 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_2) + t_6) tmp = 0.0 if (t_7 <= 0.995) tmp = Float64(Float64((Float64(t_4 + sqrt(x)) ^ -1.0) + t_2) + t_6); elseif (t_7 <= 1.05) tmp = Float64(Float64(Float64((Float64(t_3 + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - sqrt(x)) + t_6); elseif (t_7 <= 3.0) tmp = Float64(Float64(Float64((Float64(t_1 + sqrt(z)) ^ -1.0) + t_3) + t_4) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(2.0 + Float64(Float64(fma(0.5, x, t_1) + t_5) - Float64(Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 0.995], N[(N[(N[Power[N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 1.05], N[(N[(N[(N[Power[N[(t$95$3 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 3.0], N[(N[(N[(N[Power[N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(N[(0.5 * x + t$95$1), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{t + 1}\\
t_6 := t\_5 - \sqrt{t}\\
t_7 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_2\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 0.995:\\
\;\;\;\;\left({\left(t\_4 + \sqrt{x}\right)}^{-1} + t\_2\right) + t\_6\\
\mathbf{elif}\;t\_7 \leq 1.05:\\
\;\;\;\;\left(\left({\left(t\_3 + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}\right) + t\_6\\
\mathbf{elif}\;t\_7 \leq 3:\\
\;\;\;\;\left(\left({\left(t\_1 + \sqrt{z}\right)}^{-1} + t\_3\right) + t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left(\mathsf{fma}\left(0.5, x, t\_1\right) + t\_5\right) - \left(\left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right) + \sqrt{t}\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))) < 0.994999999999999996Initial program 20.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites20.7%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6432.3
Applied rewrites32.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6429.4
Applied rewrites29.4%
if 0.994999999999999996 < (+.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))) < 1.05000000000000004Initial program 92.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6493.0
Applied rewrites93.0%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites93.3%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6444.2
Applied rewrites44.2%
if 1.05000000000000004 < (+.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 97.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.2
Applied rewrites98.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.6%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites98.0%
Taylor expanded in y around 0
Applied rewrites84.6%
Final simplification38.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (- t_4 (sqrt t)))
(t_6
(+
(+
(+ (- t_3 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- t_2 (sqrt z)))
t_5)))
(if (<= t_6 0.0)
(+ (* 0.5 (+ (sqrt (pow x -1.0)) (sqrt (pow z -1.0)))) t_5)
(if (<= t_6 1.05)
(+ (- (+ (pow (+ t_1 (sqrt y)) -1.0) (sqrt (+ 1.0 x))) (sqrt x)) t_5)
(if (<= t_6 3.0)
(- (+ (+ (pow (+ t_2 (sqrt z)) -1.0) t_1) t_3) (+ (sqrt y) (sqrt x)))
(+
2.0
(-
(+ (fma 0.5 x t_2) t_4)
(+ (+ (+ (sqrt z) (sqrt y)) (sqrt x)) (sqrt t)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((t + 1.0));
double t_5 = t_4 - sqrt(t);
double t_6 = (((t_3 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (t_2 - sqrt(z))) + t_5;
double tmp;
if (t_6 <= 0.0) {
tmp = (0.5 * (sqrt(pow(x, -1.0)) + sqrt(pow(z, -1.0)))) + t_5;
} else if (t_6 <= 1.05) {
tmp = ((pow((t_1 + sqrt(y)), -1.0) + sqrt((1.0 + x))) - sqrt(x)) + t_5;
} else if (t_6 <= 3.0) {
tmp = ((pow((t_2 + sqrt(z)), -1.0) + t_1) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = 2.0 + ((fma(0.5, x, t_2) + t_4) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(t + 1.0)) t_5 = Float64(t_4 - sqrt(t)) t_6 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(t_2 - sqrt(z))) + t_5) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + sqrt((z ^ -1.0)))) + t_5); elseif (t_6 <= 1.05) tmp = Float64(Float64(Float64((Float64(t_1 + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - sqrt(x)) + t_5); elseif (t_6 <= 3.0) tmp = Float64(Float64(Float64((Float64(t_2 + sqrt(z)) ^ -1.0) + t_1) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(2.0 + Float64(Float64(fma(0.5, x, t_2) + t_4) - Float64(Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 1.05], N[(N[(N[(N[Power[N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 3.0], N[(N[(N[(N[Power[N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(N[(0.5 * x + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{t + 1}\\
t_5 := t\_4 - \sqrt{t}\\
t_6 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_5\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{x}^{-1}} + \sqrt{{z}^{-1}}\right) + t\_5\\
\mathbf{elif}\;t\_6 \leq 1.05:\\
\;\;\;\;\left(\left({\left(t\_1 + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}\right) + t\_5\\
\mathbf{elif}\;t\_6 \leq 3:\\
\;\;\;\;\left(\left({\left(t\_2 + \sqrt{z}\right)}^{-1} + t\_1\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left(\mathsf{fma}\left(0.5, x, t\_2\right) + t\_4\right) - \left(\left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right) + \sqrt{t}\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))) < 0.0Initial program 3.4%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.4
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites3.4%
Taylor expanded in x around inf
Applied rewrites54.4%
if 0.0 < (+.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))) < 1.05000000000000004Initial program 90.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6491.6
Applied rewrites91.6%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites92.0%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6444.6
Applied rewrites44.6%
if 1.05000000000000004 < (+.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 97.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.2
Applied rewrites98.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.6%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites98.0%
Taylor expanded in y around 0
Applied rewrites84.6%
Final simplification40.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (- t_4 (sqrt t)))
(t_6
(+ (+ (+ t_3 (- (sqrt (+ y 1.0)) (sqrt y))) (- t_1 (sqrt z))) t_5)))
(if (<= t_6 1e-7)
(+ (* 0.5 (+ (sqrt (pow x -1.0)) (sqrt (pow z -1.0)))) t_5)
(if (<= t_6 1.0)
(+ (/ (fma t_3 z (* 0.5 (sqrt z))) z) t_5)
(if (<= t_6 3.0)
(-
(+ (+ (pow (+ t_1 (sqrt z)) -1.0) (sqrt (+ 1.0 y))) t_2)
(+ (sqrt y) (sqrt x)))
(+
2.0
(-
(+ (fma 0.5 x t_1) t_4)
(+ (+ (+ (sqrt z) (sqrt y)) (sqrt x)) (sqrt t)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((t + 1.0));
double t_5 = t_4 - sqrt(t);
double t_6 = ((t_3 + (sqrt((y + 1.0)) - sqrt(y))) + (t_1 - sqrt(z))) + t_5;
double tmp;
if (t_6 <= 1e-7) {
tmp = (0.5 * (sqrt(pow(x, -1.0)) + sqrt(pow(z, -1.0)))) + t_5;
} else if (t_6 <= 1.0) {
tmp = (fma(t_3, z, (0.5 * sqrt(z))) / z) + t_5;
} else if (t_6 <= 3.0) {
tmp = ((pow((t_1 + sqrt(z)), -1.0) + sqrt((1.0 + y))) + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = 2.0 + ((fma(0.5, x, t_1) + t_4) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = sqrt(Float64(t + 1.0)) t_5 = Float64(t_4 - sqrt(t)) t_6 = Float64(Float64(Float64(t_3 + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(t_1 - sqrt(z))) + t_5) tmp = 0.0 if (t_6 <= 1e-7) tmp = Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + sqrt((z ^ -1.0)))) + t_5); elseif (t_6 <= 1.0) tmp = Float64(Float64(fma(t_3, z, Float64(0.5 * sqrt(z))) / z) + t_5); elseif (t_6 <= 3.0) tmp = Float64(Float64(Float64((Float64(t_1 + sqrt(z)) ^ -1.0) + sqrt(Float64(1.0 + y))) + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(2.0 + Float64(Float64(fma(0.5, x, t_1) + t_4) - Float64(Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 1e-7], N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(N[(t$95$3 * z + N[(0.5 * N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 3.0], N[(N[(N[(N[Power[N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(N[(0.5 * x + t$95$1), $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{t + 1}\\
t_5 := t\_4 - \sqrt{t}\\
t_6 := \left(\left(t\_3 + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\right) + t\_5\\
\mathbf{if}\;t\_6 \leq 10^{-7}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{x}^{-1}} + \sqrt{{z}^{-1}}\right) + t\_5\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_3, z, 0.5 \cdot \sqrt{z}\right)}{z} + t\_5\\
\mathbf{elif}\;t\_6 \leq 3:\\
\;\;\;\;\left(\left({\left(t\_1 + \sqrt{z}\right)}^{-1} + \sqrt{1 + y}\right) + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left(\mathsf{fma}\left(0.5, x, t\_1\right) + t\_4\right) - \left(\left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right) + \sqrt{t}\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))) < 9.9999999999999995e-8Initial program 5.0%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.4
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites5.4%
Taylor expanded in x around inf
Applied rewrites57.3%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 93.0%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.5
Applied rewrites28.5%
Taylor expanded in y around inf
Applied rewrites40.7%
Taylor expanded in z around 0
Applied rewrites42.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial program 97.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.9
Applied rewrites97.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.1%
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 98.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites98.0%
Taylor expanded in y around 0
Applied rewrites84.6%
Final simplification39.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (+ t_3 (sqrt y)))
(t_5 (sqrt (+ z 1.0)))
(t_6 (+ t_2 (sqrt x)))
(t_7 (* t_4 t_6)))
(if (<= (- t_5 (sqrt z)) 2e-7)
(+
(fma
(sqrt (pow z -1.0))
0.5
(+
(fma (/ (pow t_6 -1.0) t_4) (+ t_3 t_2) (/ (sqrt y) t_7))
(/ (sqrt x) t_7)))
(- t_1 (sqrt t)))
(+
1.0
(-
(+ (+ (pow (+ t_1 (sqrt t)) -1.0) t_5) t_3)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + y));
double t_4 = t_3 + sqrt(y);
double t_5 = sqrt((z + 1.0));
double t_6 = t_2 + sqrt(x);
double t_7 = t_4 * t_6;
double tmp;
if ((t_5 - sqrt(z)) <= 2e-7) {
tmp = fma(sqrt(pow(z, -1.0)), 0.5, (fma((pow(t_6, -1.0) / t_4), (t_3 + t_2), (sqrt(y) / t_7)) + (sqrt(x) / t_7))) + (t_1 - sqrt(t));
} else {
tmp = 1.0 + (((pow((t_1 + sqrt(t)), -1.0) + t_5) + t_3) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(t_3 + sqrt(y)) t_5 = sqrt(Float64(z + 1.0)) t_6 = Float64(t_2 + sqrt(x)) t_7 = Float64(t_4 * t_6) tmp = 0.0 if (Float64(t_5 - sqrt(z)) <= 2e-7) tmp = Float64(fma(sqrt((z ^ -1.0)), 0.5, Float64(fma(Float64((t_6 ^ -1.0) / t_4), Float64(t_3 + t_2), Float64(sqrt(y) / t_7)) + Float64(sqrt(x) / t_7))) + Float64(t_1 - sqrt(t))); else tmp = Float64(1.0 + Float64(Float64(Float64((Float64(t_1 + sqrt(t)) ^ -1.0) + t_5) + t_3) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$4 * t$95$6), $MachinePrecision]}, If[LessEqual[N[(t$95$5 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 2e-7], N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[(N[(N[(N[Power[t$95$6, -1.0], $MachinePrecision] / t$95$4), $MachinePrecision] * N[(t$95$3 + t$95$2), $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] / t$95$7), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] / t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[(N[Power[N[(t$95$1 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $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{t + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + y}\\
t_4 := t\_3 + \sqrt{y}\\
t_5 := \sqrt{z + 1}\\
t_6 := t\_2 + \sqrt{x}\\
t_7 := t\_4 \cdot t\_6\\
\mathbf{if}\;t\_5 - \sqrt{z} \leq 2 \cdot 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, \mathsf{fma}\left(\frac{{t\_6}^{-1}}{t\_4}, t\_3 + t\_2, \frac{\sqrt{y}}{t\_7}\right) + \frac{\sqrt{x}}{t\_7}\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(\left({\left(t\_1 + \sqrt{t}\right)}^{-1} + t\_5\right) + t\_3\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 1.9999999999999999e-7Initial program 86.3%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites86.7%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6464.8
Applied rewrites64.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites96.7%
if 1.9999999999999999e-7 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites44.5%
Final simplification70.6%
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 (+ y 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (pow z -1.0)))
(t_4 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_5 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_6 (+ (+ (+ t_4 (- t_1 (sqrt y))) (- t_2 (sqrt z))) t_5)))
(if (<= t_6 1e-7)
(+ (* 0.5 (+ (sqrt (pow x -1.0)) t_3)) t_5)
(if (<= t_6 1.0)
(+ (/ (fma t_4 z (* 0.5 (sqrt z))) z) t_5)
(if (<= t_6 2.0001)
(-
(+ (sqrt (+ 1.0 x)) (fma t_3 0.5 (sqrt (+ 1.0 y))))
(+ (sqrt y) (sqrt x)))
(+ (+ t_1 1.0) (- t_2 (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt(pow(z, -1.0));
double t_4 = sqrt((x + 1.0)) - sqrt(x);
double t_5 = sqrt((t + 1.0)) - sqrt(t);
double t_6 = ((t_4 + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + t_5;
double tmp;
if (t_6 <= 1e-7) {
tmp = (0.5 * (sqrt(pow(x, -1.0)) + t_3)) + t_5;
} else if (t_6 <= 1.0) {
tmp = (fma(t_4, z, (0.5 * sqrt(z))) / z) + t_5;
} else if (t_6 <= 2.0001) {
tmp = (sqrt((1.0 + x)) + fma(t_3, 0.5, sqrt((1.0 + y)))) - (sqrt(y) + sqrt(x));
} else {
tmp = (t_1 + 1.0) + (t_2 - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt((z ^ -1.0)) t_4 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_5 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_6 = Float64(Float64(Float64(t_4 + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + t_5) tmp = 0.0 if (t_6 <= 1e-7) tmp = Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + t_3)) + t_5); elseif (t_6 <= 1.0) tmp = Float64(Float64(fma(t_4, z, Float64(0.5 * sqrt(z))) / z) + t_5); elseif (t_6 <= 2.0001) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + fma(t_3, 0.5, sqrt(Float64(1.0 + y)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(t_1 + 1.0) + Float64(t_2 - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$4 + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 1e-7], N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(N[(t$95$4 * z + N[(0.5 * N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 2.0001], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(t$95$3 * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(t$95$2 - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $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{y + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{{z}^{-1}}\\
t_4 := \sqrt{x + 1} - \sqrt{x}\\
t_5 := \sqrt{t + 1} - \sqrt{t}\\
t_6 := \left(\left(t\_4 + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_5\\
\mathbf{if}\;t\_6 \leq 10^{-7}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{x}^{-1}} + t\_3\right) + t\_5\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_4, z, 0.5 \cdot \sqrt{z}\right)}{z} + t\_5\\
\mathbf{elif}\;t\_6 \leq 2.0001:\\
\;\;\;\;\left(\sqrt{1 + x} + \mathsf{fma}\left(t\_3, 0.5, \sqrt{1 + y}\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) + \left(t\_2 - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\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))) < 9.9999999999999995e-8Initial program 5.0%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.4
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites5.4%
Taylor expanded in x around inf
Applied rewrites57.3%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 93.0%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.5
Applied rewrites28.5%
Taylor expanded in y around inf
Applied rewrites40.7%
Taylor expanded in z around 0
Applied rewrites42.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial program 96.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.2
Applied rewrites6.2%
Taylor expanded in z around inf
Applied rewrites26.0%
if 2.00010000000000021 < (+.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 99.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6430.1
Applied rewrites30.1%
Taylor expanded in x around 0
Applied rewrites28.1%
Applied rewrites31.3%
Final simplification33.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_2)
t_3)))
(if (<= t_4 1e-7)
(+ (+ (* 0.5 (+ (sqrt (pow y -1.0)) (sqrt (pow x -1.0)))) t_2) t_3)
(if (<= t_4 2.05)
(-
(+
(+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) t_1)
(pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(sqrt x))
(+ (+ (- (- (+ (fma 0.5 y 1.0) t_1) (sqrt y)) (sqrt x)) t_2) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2) + t_3;
double tmp;
if (t_4 <= 1e-7) {
tmp = ((0.5 * (sqrt(pow(y, -1.0)) + sqrt(pow(x, -1.0)))) + t_2) + t_3;
} else if (t_4 <= 2.05) {
tmp = ((pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + t_1) + pow((sqrt((1.0 + z)) + sqrt(z)), -1.0)) - sqrt(x);
} else {
tmp = ((((fma(0.5, y, 1.0) + t_1) - sqrt(y)) - sqrt(x)) + t_2) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_2) + t_3) tmp = 0.0 if (t_4 <= 1e-7) tmp = Float64(Float64(Float64(0.5 * Float64(sqrt((y ^ -1.0)) + sqrt((x ^ -1.0)))) + t_2) + t_3); elseif (t_4 <= 2.05) tmp = Float64(Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + t_1) + (Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0)) - sqrt(x)); else tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, y, 1.0) + t_1) - sqrt(y)) - sqrt(x)) + t_2) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$4, 1e-7], N[(N[(N[(0.5 * N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 2.05], N[(N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision] + N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.5 * y + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_2\right) + t\_3\\
\mathbf{if}\;t\_4 \leq 10^{-7}:\\
\;\;\;\;\left(0.5 \cdot \left(\sqrt{{y}^{-1}} + \sqrt{{x}^{-1}}\right) + t\_2\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 2.05:\\
\;\;\;\;\left(\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + t\_1\right) + {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, y, 1\right) + t\_1\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_2\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.9999999999999995e-8Initial program 5.0%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6420.9
Applied rewrites20.9%
Taylor expanded in x around inf
Applied rewrites28.3%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.0499999999999998Initial program 94.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.5
Applied rewrites95.5%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites95.7%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites35.4%
if 2.0499999999999998 < (+.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 99.2%
Taylor expanded in y around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6467.6
Applied rewrites67.6%
Final simplification46.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ x 1.0)))
(t_4
(+ (+ (+ (- t_3 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) t_1) t_2))
(t_5 (sqrt (+ 1.0 x))))
(if (<= t_4 0.995)
(+ (+ (pow (+ t_3 (sqrt x)) -1.0) t_1) t_2)
(if (<= t_4 2.05)
(-
(+
(+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) t_5)
(pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(sqrt x))
(+ (+ (- (- (+ (fma 0.5 y 1.0) t_5) (sqrt y)) (sqrt x)) t_1) t_2)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((x + 1.0));
double t_4 = (((t_3 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_2;
double t_5 = sqrt((1.0 + x));
double tmp;
if (t_4 <= 0.995) {
tmp = (pow((t_3 + sqrt(x)), -1.0) + t_1) + t_2;
} else if (t_4 <= 2.05) {
tmp = ((pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + t_5) + pow((sqrt((1.0 + z)) + sqrt(z)), -1.0)) - sqrt(x);
} else {
tmp = ((((fma(0.5, y, 1.0) + t_5) - sqrt(y)) - sqrt(x)) + t_1) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) + t_2) t_5 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (t_4 <= 0.995) tmp = Float64(Float64((Float64(t_3 + sqrt(x)) ^ -1.0) + t_1) + t_2); elseif (t_4 <= 2.05) tmp = Float64(Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + t_5) + (Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0)) - sqrt(x)); else tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, y, 1.0) + t_5) - sqrt(y)) - sqrt(x)) + t_1) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 0.995], N[(N[(N[Power[N[(t$95$3 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$4, 2.05], N[(N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$5), $MachinePrecision] + N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.5 * y + 1.0), $MachinePrecision] + t$95$5), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\right) + t\_2\\
t_5 := \sqrt{1 + x}\\
\mathbf{if}\;t\_4 \leq 0.995:\\
\;\;\;\;\left({\left(t\_3 + \sqrt{x}\right)}^{-1} + t\_1\right) + t\_2\\
\mathbf{elif}\;t\_4 \leq 2.05:\\
\;\;\;\;\left(\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + t\_5\right) + {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, y, 1\right) + t\_5\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.994999999999999996Initial program 20.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites20.7%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6432.3
Applied rewrites32.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6429.4
Applied rewrites29.4%
if 0.994999999999999996 < (+.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))) < 2.0499999999999998Initial program 95.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.6
Applied rewrites95.6%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites95.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites36.0%
if 2.0499999999999998 < (+.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 99.2%
Taylor expanded in y around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6467.6
Applied rewrites67.6%
Final simplification46.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_3))
(t_5 (sqrt (+ t 1.0))))
(if (<= t_4 1e-7)
(+
(+ (* 0.5 (+ (sqrt (pow y -1.0)) (sqrt (pow x -1.0)))) t_3)
(- t_5 (sqrt t)))
(if (<= t_4 2.99999995)
(-
(+
(+ (pow (+ t_1 (sqrt y)) -1.0) (sqrt (+ 1.0 x)))
(pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(sqrt x))
(+
1.0
(-
(+ (+ (pow (+ t_5 (sqrt t)) -1.0) t_2) t_1)
(+ (+ (sqrt z) (sqrt y)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_3;
double t_5 = sqrt((t + 1.0));
double tmp;
if (t_4 <= 1e-7) {
tmp = ((0.5 * (sqrt(pow(y, -1.0)) + sqrt(pow(x, -1.0)))) + t_3) + (t_5 - sqrt(t));
} else if (t_4 <= 2.99999995) {
tmp = ((pow((t_1 + sqrt(y)), -1.0) + sqrt((1.0 + x))) + pow((sqrt((1.0 + z)) + sqrt(z)), -1.0)) - sqrt(x);
} else {
tmp = 1.0 + (((pow((t_5 + sqrt(t)), -1.0) + t_2) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((z + 1.0d0))
t_3 = t_2 - sqrt(z)
t_4 = ((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + t_3
t_5 = sqrt((t + 1.0d0))
if (t_4 <= 1d-7) then
tmp = ((0.5d0 * (sqrt((y ** (-1.0d0))) + sqrt((x ** (-1.0d0))))) + t_3) + (t_5 - sqrt(t))
else if (t_4 <= 2.99999995d0) then
tmp = ((((t_1 + sqrt(y)) ** (-1.0d0)) + sqrt((1.0d0 + x))) + ((sqrt((1.0d0 + z)) + sqrt(z)) ** (-1.0d0))) - sqrt(x)
else
tmp = 1.0d0 + (((((t_5 + sqrt(t)) ** (-1.0d0)) + t_2) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = ((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + t_3;
double t_5 = Math.sqrt((t + 1.0));
double tmp;
if (t_4 <= 1e-7) {
tmp = ((0.5 * (Math.sqrt(Math.pow(y, -1.0)) + Math.sqrt(Math.pow(x, -1.0)))) + t_3) + (t_5 - Math.sqrt(t));
} else if (t_4 <= 2.99999995) {
tmp = ((Math.pow((t_1 + Math.sqrt(y)), -1.0) + Math.sqrt((1.0 + x))) + Math.pow((Math.sqrt((1.0 + z)) + Math.sqrt(z)), -1.0)) - Math.sqrt(x);
} else {
tmp = 1.0 + (((Math.pow((t_5 + Math.sqrt(t)), -1.0) + t_2) + t_1) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((z + 1.0)) t_3 = t_2 - math.sqrt(z) t_4 = ((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + t_3 t_5 = math.sqrt((t + 1.0)) tmp = 0 if t_4 <= 1e-7: tmp = ((0.5 * (math.sqrt(math.pow(y, -1.0)) + math.sqrt(math.pow(x, -1.0)))) + t_3) + (t_5 - math.sqrt(t)) elif t_4 <= 2.99999995: tmp = ((math.pow((t_1 + math.sqrt(y)), -1.0) + math.sqrt((1.0 + x))) + math.pow((math.sqrt((1.0 + z)) + math.sqrt(z)), -1.0)) - math.sqrt(x) else: tmp = 1.0 + (((math.pow((t_5 + math.sqrt(t)), -1.0) + t_2) + t_1) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_3) t_5 = sqrt(Float64(t + 1.0)) tmp = 0.0 if (t_4 <= 1e-7) tmp = Float64(Float64(Float64(0.5 * Float64(sqrt((y ^ -1.0)) + sqrt((x ^ -1.0)))) + t_3) + Float64(t_5 - sqrt(t))); elseif (t_4 <= 2.99999995) tmp = Float64(Float64(Float64((Float64(t_1 + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) + (Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0)) - sqrt(x)); else tmp = Float64(1.0 + Float64(Float64(Float64((Float64(t_5 + sqrt(t)) ^ -1.0) + t_2) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((z + 1.0));
t_3 = t_2 - sqrt(z);
t_4 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_3;
t_5 = sqrt((t + 1.0));
tmp = 0.0;
if (t_4 <= 1e-7)
tmp = ((0.5 * (sqrt((y ^ -1.0)) + sqrt((x ^ -1.0)))) + t_3) + (t_5 - sqrt(t));
elseif (t_4 <= 2.99999995)
tmp = ((((t_1 + sqrt(y)) ^ -1.0) + sqrt((1.0 + x))) + ((sqrt((1.0 + z)) + sqrt(z)) ^ -1.0)) - sqrt(x);
else
tmp = 1.0 + (((((t_5 + sqrt(t)) ^ -1.0) + t_2) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 1e-7], N[(N[(N[(0.5 * N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.99999995], N[(N[(N[(N[Power[N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[(N[Power[N[(t$95$5 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $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{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_3\\
t_5 := \sqrt{t + 1}\\
\mathbf{if}\;t\_4 \leq 10^{-7}:\\
\;\;\;\;\left(0.5 \cdot \left(\sqrt{{y}^{-1}} + \sqrt{{x}^{-1}}\right) + t\_3\right) + \left(t\_5 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_4 \leq 2.99999995:\\
\;\;\;\;\left(\left({\left(t\_1 + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) + {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(\left({\left(t\_5 + \sqrt{t}\right)}^{-1} + t\_2\right) + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\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))) < 9.9999999999999995e-8Initial program 46.1%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6455.0
Applied rewrites55.0%
Taylor expanded in x around inf
Applied rewrites61.0%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.99999994999999986Initial program 96.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites97.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites34.1%
if 2.99999994999999986 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites100.0%
Final simplification44.8%
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 z)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_3 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) t_2))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_4 0.995)
(+ (+ (pow (+ t_3 (sqrt x)) -1.0) t_2) t_6)
(if (<= t_4 2.972)
(-
(+
(+ (pow (+ t_5 (sqrt y)) -1.0) (sqrt (+ 1.0 x)))
(pow (+ t_1 (sqrt z)) -1.0))
(sqrt x))
(+
(- (+ (+ (fma 0.5 x 1.0) t_5) t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
t_6)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_3 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2;
double t_5 = sqrt((1.0 + y));
double t_6 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_4 <= 0.995) {
tmp = (pow((t_3 + sqrt(x)), -1.0) + t_2) + t_6;
} else if (t_4 <= 2.972) {
tmp = ((pow((t_5 + sqrt(y)), -1.0) + sqrt((1.0 + x))) + pow((t_1 + sqrt(z)), -1.0)) - sqrt(x);
} else {
tmp = (((fma(0.5, x, 1.0) + t_5) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + t_6;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_2) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_4 <= 0.995) tmp = Float64(Float64((Float64(t_3 + sqrt(x)) ^ -1.0) + t_2) + t_6); elseif (t_4 <= 2.972) tmp = Float64(Float64(Float64((Float64(t_5 + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) + (Float64(t_1 + sqrt(z)) ^ -1.0)) - sqrt(x)); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_5) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + t_6); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.995], N[(N[(N[Power[N[(t$95$3 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$4, 2.972], N[(N[(N[(N[Power[N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_3 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_2\\
t_5 := \sqrt{1 + y}\\
t_6 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 0.995:\\
\;\;\;\;\left({\left(t\_3 + \sqrt{x}\right)}^{-1} + t\_2\right) + t\_6\\
\mathbf{elif}\;t\_4 \leq 2.972:\\
\;\;\;\;\left(\left({\left(t\_5 + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) + {\left(t\_1 + \sqrt{z}\right)}^{-1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_5\right) + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + t\_6\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.994999999999999996Initial program 48.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites48.0%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6456.3
Applied rewrites56.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6454.4
Applied rewrites54.4%
if 0.994999999999999996 < (+.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))) < 2.97199999999999998Initial program 96.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.9
Applied rewrites96.9%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites97.1%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites33.7%
if 2.97199999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.2%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites99.2%
Final simplification44.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_4 (+ (+ (- t_2 (sqrt x)) t_3) t_1))
(t_5 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_4 0.995)
(+ (+ (pow (+ t_2 (sqrt x)) -1.0) t_1) t_5)
(if (<= t_4 2.05)
(-
(+
(+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) (sqrt (+ 1.0 x)))
(pow (+ (sqrt (+ 1.0 z)) (sqrt z)) -1.0))
(sqrt x))
(+ (+ (+ (- 1.0 (sqrt x)) t_3) t_1) t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double t_4 = ((t_2 - sqrt(x)) + t_3) + t_1;
double t_5 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_4 <= 0.995) {
tmp = (pow((t_2 + sqrt(x)), -1.0) + t_1) + t_5;
} else if (t_4 <= 2.05) {
tmp = ((pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + sqrt((1.0 + x))) + pow((sqrt((1.0 + z)) + sqrt(z)), -1.0)) - sqrt(x);
} else {
tmp = (((1.0 - sqrt(x)) + t_3) + t_1) + t_5;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((y + 1.0d0)) - sqrt(y)
t_4 = ((t_2 - sqrt(x)) + t_3) + t_1
t_5 = sqrt((t + 1.0d0)) - sqrt(t)
if (t_4 <= 0.995d0) then
tmp = (((t_2 + sqrt(x)) ** (-1.0d0)) + t_1) + t_5
else if (t_4 <= 2.05d0) then
tmp = ((((sqrt((1.0d0 + y)) + sqrt(y)) ** (-1.0d0)) + sqrt((1.0d0 + x))) + ((sqrt((1.0d0 + z)) + sqrt(z)) ** (-1.0d0))) - sqrt(x)
else
tmp = (((1.0d0 - sqrt(x)) + t_3) + t_1) + t_5
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_4 = ((t_2 - Math.sqrt(x)) + t_3) + t_1;
double t_5 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (t_4 <= 0.995) {
tmp = (Math.pow((t_2 + Math.sqrt(x)), -1.0) + t_1) + t_5;
} else if (t_4 <= 2.05) {
tmp = ((Math.pow((Math.sqrt((1.0 + y)) + Math.sqrt(y)), -1.0) + Math.sqrt((1.0 + x))) + Math.pow((Math.sqrt((1.0 + z)) + Math.sqrt(z)), -1.0)) - Math.sqrt(x);
} else {
tmp = (((1.0 - Math.sqrt(x)) + t_3) + t_1) + t_5;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((y + 1.0)) - math.sqrt(y) t_4 = ((t_2 - math.sqrt(x)) + t_3) + t_1 t_5 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if t_4 <= 0.995: tmp = (math.pow((t_2 + math.sqrt(x)), -1.0) + t_1) + t_5 elif t_4 <= 2.05: tmp = ((math.pow((math.sqrt((1.0 + y)) + math.sqrt(y)), -1.0) + math.sqrt((1.0 + x))) + math.pow((math.sqrt((1.0 + z)) + math.sqrt(z)), -1.0)) - math.sqrt(x) else: tmp = (((1.0 - math.sqrt(x)) + t_3) + t_1) + t_5 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_4 = Float64(Float64(Float64(t_2 - sqrt(x)) + t_3) + t_1) t_5 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_4 <= 0.995) tmp = Float64(Float64((Float64(t_2 + sqrt(x)) ^ -1.0) + t_1) + t_5); elseif (t_4 <= 2.05) tmp = Float64(Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) + (Float64(sqrt(Float64(1.0 + z)) + sqrt(z)) ^ -1.0)) - sqrt(x)); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_3) + t_1) + t_5); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = sqrt((y + 1.0)) - sqrt(y);
t_4 = ((t_2 - sqrt(x)) + t_3) + t_1;
t_5 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (t_4 <= 0.995)
tmp = (((t_2 + sqrt(x)) ^ -1.0) + t_1) + t_5;
elseif (t_4 <= 2.05)
tmp = ((((sqrt((1.0 + y)) + sqrt(y)) ^ -1.0) + sqrt((1.0 + x))) + ((sqrt((1.0 + z)) + sqrt(z)) ^ -1.0)) - sqrt(x);
else
tmp = (((1.0 - sqrt(x)) + t_3) + t_1) + t_5;
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[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.995], N[(N[(N[Power[N[(t$95$2 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$4, 2.05], N[(N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$5), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
t_4 := \left(\left(t\_2 - \sqrt{x}\right) + t\_3\right) + t\_1\\
t_5 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 0.995:\\
\;\;\;\;\left({\left(t\_2 + \sqrt{x}\right)}^{-1} + t\_1\right) + t\_5\\
\mathbf{elif}\;t\_4 \leq 2.05:\\
\;\;\;\;\left(\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) + {\left(\sqrt{1 + z} + \sqrt{z}\right)}^{-1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_3\right) + t\_1\right) + t\_5\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.994999999999999996Initial program 48.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites48.0%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6456.3
Applied rewrites56.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6454.4
Applied rewrites54.4%
if 0.994999999999999996 < (+.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))) < 2.0499999999999998Initial program 96.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.8
Applied rewrites96.8%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites97.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites32.8%
if 2.0499999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6494.9
Applied rewrites94.9%
Final simplification44.8%
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 (pow z -1.0)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (+ t_4 (- t_5 (sqrt y))) (- t_3 (sqrt z)))))
(if (<= t_6 1e-7)
(+ (* 0.5 (+ (sqrt (pow x -1.0)) t_1)) t_2)
(if (<= t_6 1.0)
(+ (+ (/ 0.5 (sqrt z)) t_4) t_2)
(if (<= t_6 2.0001)
(-
(+ (sqrt (+ 1.0 x)) (fma t_1 0.5 (sqrt (+ 1.0 y))))
(+ (sqrt y) (sqrt x)))
(+ (+ t_5 1.0) (- t_3 (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(pow(z, -1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((z + 1.0));
double t_4 = sqrt((x + 1.0)) - sqrt(x);
double t_5 = sqrt((y + 1.0));
double t_6 = (t_4 + (t_5 - sqrt(y))) + (t_3 - sqrt(z));
double tmp;
if (t_6 <= 1e-7) {
tmp = (0.5 * (sqrt(pow(x, -1.0)) + t_1)) + t_2;
} else if (t_6 <= 1.0) {
tmp = ((0.5 / sqrt(z)) + t_4) + t_2;
} else if (t_6 <= 2.0001) {
tmp = (sqrt((1.0 + x)) + fma(t_1, 0.5, sqrt((1.0 + y)))) - (sqrt(y) + sqrt(x));
} else {
tmp = (t_5 + 1.0) + (t_3 - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt((z ^ -1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(Float64(t_4 + Float64(t_5 - sqrt(y))) + Float64(t_3 - sqrt(z))) tmp = 0.0 if (t_6 <= 1e-7) tmp = Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + t_1)) + t_2); elseif (t_6 <= 1.0) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + t_4) + t_2); elseif (t_6 <= 2.0001) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + fma(t_1, 0.5, sqrt(Float64(1.0 + y)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(t_5 + 1.0) + Float64(t_3 - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$4 + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1e-7], N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$6, 2.0001], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(t$95$1 * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$5 + 1.0), $MachinePrecision] + N[(t$95$3 - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $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{{z}^{-1}}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{z + 1}\\
t_4 := \sqrt{x + 1} - \sqrt{x}\\
t_5 := \sqrt{y + 1}\\
t_6 := \left(t\_4 + \left(t\_5 - \sqrt{y}\right)\right) + \left(t\_3 - \sqrt{z}\right)\\
\mathbf{if}\;t\_6 \leq 10^{-7}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{x}^{-1}} + t\_1\right) + t\_2\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + t\_4\right) + t\_2\\
\mathbf{elif}\;t\_6 \leq 2.0001:\\
\;\;\;\;\left(\sqrt{1 + x} + \mathsf{fma}\left(t\_1, 0.5, \sqrt{1 + y}\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_5 + 1\right) + \left(t\_3 - \left(\left(\sqrt{z} + \sqrt{y}\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))) < 9.9999999999999995e-8Initial program 46.1%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6444.9
Applied rewrites44.9%
Taylor expanded in y around inf
Applied rewrites45.9%
Taylor expanded in x around inf
Applied rewrites75.5%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 95.9%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.5
Applied rewrites16.5%
Taylor expanded in y around inf
Applied rewrites32.1%
Applied rewrites32.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.5
Applied rewrites6.5%
Taylor expanded in z around inf
Applied rewrites28.9%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6460.1
Applied rewrites60.1%
Taylor expanded in x around 0
Applied rewrites56.3%
Applied rewrites56.3%
Final simplification39.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_4 (+ (+ (- t_2 (sqrt x)) t_3) t_1))
(t_5 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_4 0.995)
(+ (+ (pow (+ t_2 (sqrt x)) -1.0) t_1) t_5)
(if (<= t_4 1.9999999999999933)
(+
(-
(+ (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0) (sqrt (+ 1.0 x)))
(sqrt x))
t_5)
(+ (+ (+ (- 1.0 (sqrt x)) t_3) t_1) t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double t_4 = ((t_2 - sqrt(x)) + t_3) + t_1;
double t_5 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_4 <= 0.995) {
tmp = (pow((t_2 + sqrt(x)), -1.0) + t_1) + t_5;
} else if (t_4 <= 1.9999999999999933) {
tmp = ((pow((sqrt((1.0 + y)) + sqrt(y)), -1.0) + sqrt((1.0 + x))) - sqrt(x)) + t_5;
} else {
tmp = (((1.0 - sqrt(x)) + t_3) + t_1) + t_5;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((y + 1.0d0)) - sqrt(y)
t_4 = ((t_2 - sqrt(x)) + t_3) + t_1
t_5 = sqrt((t + 1.0d0)) - sqrt(t)
if (t_4 <= 0.995d0) then
tmp = (((t_2 + sqrt(x)) ** (-1.0d0)) + t_1) + t_5
else if (t_4 <= 1.9999999999999933d0) then
tmp = ((((sqrt((1.0d0 + y)) + sqrt(y)) ** (-1.0d0)) + sqrt((1.0d0 + x))) - sqrt(x)) + t_5
else
tmp = (((1.0d0 - sqrt(x)) + t_3) + t_1) + t_5
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_4 = ((t_2 - Math.sqrt(x)) + t_3) + t_1;
double t_5 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (t_4 <= 0.995) {
tmp = (Math.pow((t_2 + Math.sqrt(x)), -1.0) + t_1) + t_5;
} else if (t_4 <= 1.9999999999999933) {
tmp = ((Math.pow((Math.sqrt((1.0 + y)) + Math.sqrt(y)), -1.0) + Math.sqrt((1.0 + x))) - Math.sqrt(x)) + t_5;
} else {
tmp = (((1.0 - Math.sqrt(x)) + t_3) + t_1) + t_5;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((y + 1.0)) - math.sqrt(y) t_4 = ((t_2 - math.sqrt(x)) + t_3) + t_1 t_5 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if t_4 <= 0.995: tmp = (math.pow((t_2 + math.sqrt(x)), -1.0) + t_1) + t_5 elif t_4 <= 1.9999999999999933: tmp = ((math.pow((math.sqrt((1.0 + y)) + math.sqrt(y)), -1.0) + math.sqrt((1.0 + x))) - math.sqrt(x)) + t_5 else: tmp = (((1.0 - math.sqrt(x)) + t_3) + t_1) + t_5 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_4 = Float64(Float64(Float64(t_2 - sqrt(x)) + t_3) + t_1) t_5 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_4 <= 0.995) tmp = Float64(Float64((Float64(t_2 + sqrt(x)) ^ -1.0) + t_1) + t_5); elseif (t_4 <= 1.9999999999999933) tmp = Float64(Float64(Float64((Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0) + sqrt(Float64(1.0 + x))) - sqrt(x)) + t_5); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_3) + t_1) + t_5); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = sqrt((y + 1.0)) - sqrt(y);
t_4 = ((t_2 - sqrt(x)) + t_3) + t_1;
t_5 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (t_4 <= 0.995)
tmp = (((t_2 + sqrt(x)) ^ -1.0) + t_1) + t_5;
elseif (t_4 <= 1.9999999999999933)
tmp = ((((sqrt((1.0 + y)) + sqrt(y)) ^ -1.0) + sqrt((1.0 + x))) - sqrt(x)) + t_5;
else
tmp = (((1.0 - sqrt(x)) + t_3) + t_1) + t_5;
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[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.995], N[(N[(N[Power[N[(t$95$2 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$4, 1.9999999999999933], N[(N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$5), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
t_4 := \left(\left(t\_2 - \sqrt{x}\right) + t\_3\right) + t\_1\\
t_5 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 0.995:\\
\;\;\;\;\left({\left(t\_2 + \sqrt{x}\right)}^{-1} + t\_1\right) + t\_5\\
\mathbf{elif}\;t\_4 \leq 1.9999999999999933:\\
\;\;\;\;\left(\left({\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1} + \sqrt{1 + x}\right) - \sqrt{x}\right) + t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_3\right) + t\_1\right) + t\_5\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.994999999999999996Initial program 48.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites48.0%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6456.3
Applied rewrites56.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6454.4
Applied rewrites54.4%
if 0.994999999999999996 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.9999999999999933Initial program 95.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.0
Applied rewrites96.0%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites96.2%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6440.4
Applied rewrites40.4%
if 1.9999999999999933 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6478.7
Applied rewrites78.7%
Final simplification59.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (+ t_3 (- t_4 (sqrt y))) (- t_2 (sqrt z)))))
(if (<= t_5 1e-7)
(+ (* 0.5 (+ (sqrt (pow x -1.0)) (sqrt (pow z -1.0)))) t_1)
(if (<= t_5 1.0)
(+ (+ (/ 0.5 (sqrt z)) t_3) t_1)
(if (<= t_5 1.9999999999999933)
(- (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y))) (+ (sqrt y) (sqrt x)))
(+ (+ t_4 1.0) (- t_2 (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((x + 1.0)) - sqrt(x);
double t_4 = sqrt((y + 1.0));
double t_5 = (t_3 + (t_4 - sqrt(y))) + (t_2 - sqrt(z));
double tmp;
if (t_5 <= 1e-7) {
tmp = (0.5 * (sqrt(pow(x, -1.0)) + sqrt(pow(z, -1.0)))) + t_1;
} else if (t_5 <= 1.0) {
tmp = ((0.5 / sqrt(z)) + t_3) + t_1;
} else if (t_5 <= 1.9999999999999933) {
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
} else {
tmp = (t_4 + 1.0) + (t_2 - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((t + 1.0d0)) - sqrt(t)
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt((x + 1.0d0)) - sqrt(x)
t_4 = sqrt((y + 1.0d0))
t_5 = (t_3 + (t_4 - sqrt(y))) + (t_2 - sqrt(z))
if (t_5 <= 1d-7) then
tmp = (0.5d0 * (sqrt((x ** (-1.0d0))) + sqrt((z ** (-1.0d0))))) + t_1
else if (t_5 <= 1.0d0) then
tmp = ((0.5d0 / sqrt(z)) + t_3) + t_1
else if (t_5 <= 1.9999999999999933d0) then
tmp = (sqrt((1.0d0 + x)) + sqrt((1.0d0 + y))) - (sqrt(y) + sqrt(x))
else
tmp = (t_4 + 1.0d0) + (t_2 - ((sqrt(z) + sqrt(y)) + sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt((x + 1.0)) - Math.sqrt(x);
double t_4 = Math.sqrt((y + 1.0));
double t_5 = (t_3 + (t_4 - Math.sqrt(y))) + (t_2 - Math.sqrt(z));
double tmp;
if (t_5 <= 1e-7) {
tmp = (0.5 * (Math.sqrt(Math.pow(x, -1.0)) + Math.sqrt(Math.pow(z, -1.0)))) + t_1;
} else if (t_5 <= 1.0) {
tmp = ((0.5 / Math.sqrt(z)) + t_3) + t_1;
} else if (t_5 <= 1.9999999999999933) {
tmp = (Math.sqrt((1.0 + x)) + Math.sqrt((1.0 + y))) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (t_4 + 1.0) + (t_2 - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) - math.sqrt(t) t_2 = math.sqrt((z + 1.0)) t_3 = math.sqrt((x + 1.0)) - math.sqrt(x) t_4 = math.sqrt((y + 1.0)) t_5 = (t_3 + (t_4 - math.sqrt(y))) + (t_2 - math.sqrt(z)) tmp = 0 if t_5 <= 1e-7: tmp = (0.5 * (math.sqrt(math.pow(x, -1.0)) + math.sqrt(math.pow(z, -1.0)))) + t_1 elif t_5 <= 1.0: tmp = ((0.5 / math.sqrt(z)) + t_3) + t_1 elif t_5 <= 1.9999999999999933: tmp = (math.sqrt((1.0 + x)) + math.sqrt((1.0 + y))) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (t_4 + 1.0) + (t_2 - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_3 + Float64(t_4 - sqrt(y))) + Float64(t_2 - sqrt(z))) tmp = 0.0 if (t_5 <= 1e-7) tmp = Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + sqrt((z ^ -1.0)))) + t_1); elseif (t_5 <= 1.0) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + t_3) + t_1); elseif (t_5 <= 1.9999999999999933) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(t_4 + 1.0) + Float64(t_2 - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0)) - sqrt(t);
t_2 = sqrt((z + 1.0));
t_3 = sqrt((x + 1.0)) - sqrt(x);
t_4 = sqrt((y + 1.0));
t_5 = (t_3 + (t_4 - sqrt(y))) + (t_2 - sqrt(z));
tmp = 0.0;
if (t_5 <= 1e-7)
tmp = (0.5 * (sqrt((x ^ -1.0)) + sqrt((z ^ -1.0)))) + t_1;
elseif (t_5 <= 1.0)
tmp = ((0.5 / sqrt(z)) + t_3) + t_1;
elseif (t_5 <= 1.9999999999999933)
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
else
tmp = (t_4 + 1.0) + (t_2 - ((sqrt(z) + sqrt(y)) + sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1e-7], N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 1.0], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 1.9999999999999933], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$4 + 1.0), $MachinePrecision] + N[(t$95$2 - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $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{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1} - \sqrt{x}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_3 + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 10^{-7}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{x}^{-1}} + \sqrt{{z}^{-1}}\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 1:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + t\_3\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 1.9999999999999933:\\
\;\;\;\;\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_4 + 1\right) + \left(t\_2 - \left(\left(\sqrt{z} + \sqrt{y}\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))) < 9.9999999999999995e-8Initial program 46.1%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6444.9
Applied rewrites44.9%
Taylor expanded in y around inf
Applied rewrites45.9%
Taylor expanded in x around inf
Applied rewrites75.5%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 95.9%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.5
Applied rewrites16.5%
Taylor expanded in y around inf
Applied rewrites32.1%
Applied rewrites32.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.9999999999999933Initial program 94.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.1
Applied rewrites6.1%
Taylor expanded in z around inf
Applied rewrites28.2%
if 1.9999999999999933 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.8
Applied rewrites25.8%
Taylor expanded in x around 0
Applied rewrites23.3%
Applied rewrites37.5%
Final simplification38.9%
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 (pow z -1.0)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (sqrt (+ y 1.0)))
(t_5
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_4 (sqrt y)))
(- t_3 (sqrt z)))))
(if (<= t_5 0.0005)
(+ (* 0.5 (+ (sqrt (pow x -1.0)) t_1)) t_2)
(if (<= t_5 1.0)
(+ (- (fma 0.5 (+ x t_1) 1.0) (sqrt x)) t_2)
(if (<= t_5 1.9999999999999933)
(- (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y))) (+ (sqrt y) (sqrt x)))
(+ (+ t_4 1.0) (- t_3 (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(pow(z, -1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((z + 1.0));
double t_4 = sqrt((y + 1.0));
double t_5 = ((sqrt((x + 1.0)) - sqrt(x)) + (t_4 - sqrt(y))) + (t_3 - sqrt(z));
double tmp;
if (t_5 <= 0.0005) {
tmp = (0.5 * (sqrt(pow(x, -1.0)) + t_1)) + t_2;
} else if (t_5 <= 1.0) {
tmp = (fma(0.5, (x + t_1), 1.0) - sqrt(x)) + t_2;
} else if (t_5 <= 1.9999999999999933) {
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
} else {
tmp = (t_4 + 1.0) + (t_3 - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt((z ^ -1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(z + 1.0)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_3 - sqrt(z))) tmp = 0.0 if (t_5 <= 0.0005) tmp = Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + t_1)) + t_2); elseif (t_5 <= 1.0) tmp = Float64(Float64(fma(0.5, Float64(x + t_1), 1.0) - sqrt(x)) + t_2); elseif (t_5 <= 1.9999999999999933) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(t_4 + 1.0) + Float64(t_3 - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0005], N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$5, 1.0], N[(N[(N[(0.5 * N[(x + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$5, 1.9999999999999933], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$4 + 1.0), $MachinePrecision] + N[(t$95$3 - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $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{{z}^{-1}}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{z + 1}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_3 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 0.0005:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{x}^{-1}} + t\_1\right) + t\_2\\
\mathbf{elif}\;t\_5 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x + t\_1, 1\right) - \sqrt{x}\right) + t\_2\\
\mathbf{elif}\;t\_5 \leq 1.9999999999999933:\\
\;\;\;\;\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_4 + 1\right) + \left(t\_3 - \left(\left(\sqrt{z} + \sqrt{y}\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))) < 5.0000000000000001e-4Initial program 46.1%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6444.9
Applied rewrites44.9%
Taylor expanded in y around inf
Applied rewrites45.9%
Taylor expanded in x around inf
Applied rewrites75.5%
if 5.0000000000000001e-4 < (+.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 95.9%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.5
Applied rewrites16.5%
Taylor expanded in y around inf
Applied rewrites32.1%
Taylor expanded in x around 0
Applied rewrites28.9%
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))) < 1.9999999999999933Initial program 94.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.1
Applied rewrites6.1%
Taylor expanded in z around inf
Applied rewrites28.2%
if 1.9999999999999933 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.8
Applied rewrites25.8%
Taylor expanded in x around 0
Applied rewrites23.3%
Applied rewrites37.5%
Final simplification37.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_4 (sqrt (+ x 1.0))))
(if (<= t_3 5e-6)
(+
(+
(fma (sqrt (pow y -1.0)) 0.5 (pow (+ t_4 (sqrt x)) -1.0))
(- t_1 (sqrt z)))
t_2)
(+
(+ (+ (- t_4 (sqrt x)) t_3) (/ (- (+ z 1.0) z) (+ (sqrt z) t_1)))
t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double t_4 = sqrt((x + 1.0));
double tmp;
if (t_3 <= 5e-6) {
tmp = (fma(sqrt(pow(y, -1.0)), 0.5, pow((t_4 + sqrt(x)), -1.0)) + (t_1 - sqrt(z))) + t_2;
} else {
tmp = (((t_4 - sqrt(x)) + t_3) + (((z + 1.0) - z) / (sqrt(z) + t_1))) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (t_3 <= 5e-6) tmp = Float64(Float64(fma(sqrt((y ^ -1.0)), 0.5, (Float64(t_4 + sqrt(x)) ^ -1.0)) + Float64(t_1 - sqrt(z))) + t_2); else tmp = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + t_3) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1))) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 5e-6], N[(N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Power[N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-6}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, {\left(t\_4 + \sqrt{x}\right)}^{-1}\right) + \left(t\_1 - \sqrt{z}\right)\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_4 - \sqrt{x}\right) + t\_3\right) + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1}\right) + t\_2\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 5.00000000000000041e-6Initial program 83.8%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6488.1
Applied rewrites88.1%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6490.0
Applied rewrites90.0%
if 5.00000000000000041e-6 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.8
Applied rewrites97.8%
Final simplification94.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_4 (sqrt (+ x 1.0))))
(if (<= t_3 5e-6)
(+
(+ (fma (sqrt (pow y -1.0)) 0.5 (pow (+ t_4 (sqrt x)) -1.0)) t_2)
(- t_1 (sqrt t)))
(+
(+ (+ (- t_4 (sqrt x)) t_3) t_2)
(/ (- (+ t 1.0) t) (+ (sqrt t) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double t_4 = sqrt((x + 1.0));
double tmp;
if (t_3 <= 5e-6) {
tmp = (fma(sqrt(pow(y, -1.0)), 0.5, pow((t_4 + sqrt(x)), -1.0)) + t_2) + (t_1 - sqrt(t));
} else {
tmp = (((t_4 - sqrt(x)) + t_3) + t_2) + (((t + 1.0) - t) / (sqrt(t) + t_1));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (t_3 <= 5e-6) tmp = Float64(Float64(fma(sqrt((y ^ -1.0)), 0.5, (Float64(t_4 + sqrt(x)) ^ -1.0)) + t_2) + Float64(t_1 - sqrt(t))); else tmp = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + t_3) + t_2) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_1))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 5e-6], N[(N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Power[N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $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{t + 1}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-6}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, {\left(t\_4 + \sqrt{x}\right)}^{-1}\right) + t\_2\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_4 - \sqrt{x}\right) + t\_3\right) + t\_2\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_1}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 5.00000000000000041e-6Initial program 83.8%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6488.1
Applied rewrites88.1%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6490.0
Applied rewrites90.0%
if 5.00000000000000041e-6 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.0
Applied rewrites98.0%
Final simplification94.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_1 (sqrt y)))
(- t_2 (sqrt z)))
t_3)))
(if (<= t_4 1.0)
(+ (- (fma 0.5 (+ x (sqrt (pow z -1.0))) 1.0) (sqrt x)) t_3)
(if (<= t_4 1.9999999999999933)
(- (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y))) (+ (sqrt y) (sqrt x)))
(+ (+ t_1 1.0) (- t_2 (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = (((sqrt((x + 1.0)) - sqrt(x)) + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + t_3;
double tmp;
if (t_4 <= 1.0) {
tmp = (fma(0.5, (x + sqrt(pow(z, -1.0))), 1.0) - sqrt(x)) + t_3;
} else if (t_4 <= 1.9999999999999933) {
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
} else {
tmp = (t_1 + 1.0) + (t_2 - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + t_3) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(fma(0.5, Float64(x + sqrt((z ^ -1.0))), 1.0) - sqrt(x)) + t_3); elseif (t_4 <= 1.9999999999999933) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(t_1 + 1.0) + Float64(t_2 - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[(0.5 * N[(x + N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 1.9999999999999933], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(t$95$2 - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $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{y + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x + \sqrt{{z}^{-1}}, 1\right) - \sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 1.9999999999999933:\\
\;\;\;\;\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) + \left(t\_2 - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\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 75.7%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.6
Applied rewrites23.6%
Taylor expanded in y around inf
Applied rewrites33.8%
Taylor expanded in x around 0
Applied rewrites19.3%
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))) < 1.9999999999999933Initial program 91.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.6
Applied rewrites5.6%
Taylor expanded in z around inf
Applied rewrites22.8%
if 1.9999999999999933 < (+.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 98.4%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.6
Applied rewrites19.6%
Taylor expanded in x around 0
Applied rewrites17.6%
Applied rewrites32.4%
Final simplification28.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- t_1 (sqrt z)))
t_2))
(t_4 (sqrt (+ 1.0 y))))
(if (<= t_3 1.0)
(+ (- (fma (sqrt (pow z -1.0)) 0.5 1.0) (sqrt x)) t_2)
(if (<= t_3 2.0)
(- (+ (sqrt (+ 1.0 x)) t_4) (+ (sqrt y) (sqrt x)))
(+ 1.0 (- (+ t_1 t_4) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (t_1 - sqrt(z))) + t_2;
double t_4 = sqrt((1.0 + y));
double tmp;
if (t_3 <= 1.0) {
tmp = (fma(sqrt(pow(z, -1.0)), 0.5, 1.0) - sqrt(x)) + t_2;
} else if (t_3 <= 2.0) {
tmp = (sqrt((1.0 + x)) + t_4) - (sqrt(y) + sqrt(x));
} else {
tmp = 1.0 + ((t_1 + t_4) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(t_1 - sqrt(z))) + t_2) t_4 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_3 <= 1.0) tmp = Float64(Float64(fma(sqrt((z ^ -1.0)), 0.5, 1.0) - sqrt(x)) + t_2); elseif (t_3 <= 2.0) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + t_4) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(1.0 + Float64(Float64(t_1 + t_4) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = 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[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 1.0], N[(N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$3, 2.0], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$1 + t$95$4), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $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{z + 1}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\right) + t\_2\\
t_4 := \sqrt{1 + y}\\
\mathbf{if}\;t\_3 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, 1\right) - \sqrt{x}\right) + t\_2\\
\mathbf{elif}\;t\_3 \leq 2:\\
\;\;\;\;\left(\sqrt{1 + x} + t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_1 + t\_4\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\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 75.7%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.6
Applied rewrites23.6%
Taylor expanded in y around inf
Applied rewrites33.8%
Taylor expanded in x around 0
Applied rewrites16.2%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 96.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.2
Applied rewrites6.2%
Taylor expanded in z around inf
Applied rewrites25.3%
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 98.6%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6429.9
Applied rewrites29.9%
Taylor expanded in x around 0
Applied rewrites32.9%
Final simplification25.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= y 2e+14)
(+
(+
(+ (- t_1 (sqrt x)) (/ (- (+ 1.0 y) y) (+ (sqrt y) (sqrt (+ 1.0 y)))))
(/ (- (+ z 1.0) z) (+ (sqrt z) t_2)))
t_3)
(+
(+
(fma (sqrt (pow y -1.0)) 0.5 (pow (+ t_1 (sqrt x)) -1.0))
(- t_2 (sqrt z)))
t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (y <= 2e+14) {
tmp = (((t_1 - sqrt(x)) + (((1.0 + y) - y) / (sqrt(y) + sqrt((1.0 + y))))) + (((z + 1.0) - z) / (sqrt(z) + t_2))) + t_3;
} else {
tmp = (fma(sqrt(pow(y, -1.0)), 0.5, pow((t_1 + sqrt(x)), -1.0)) + (t_2 - sqrt(z))) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (y <= 2e+14) tmp = Float64(Float64(Float64(Float64(t_1 - sqrt(x)) + Float64(Float64(Float64(1.0 + y) - y) / Float64(sqrt(y) + sqrt(Float64(1.0 + y))))) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_2))) + t_3); else tmp = Float64(Float64(fma(sqrt((y ^ -1.0)), 0.5, (Float64(t_1 + sqrt(x)) ^ -1.0)) + Float64(t_2 - sqrt(z))) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 2e+14], N[(N[(N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Power[N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;y \leq 2 \cdot 10^{+14}:\\
\;\;\;\;\left(\left(\left(t\_1 - \sqrt{x}\right) + \frac{\left(1 + y\right) - y}{\sqrt{y} + \sqrt{1 + y}}\right) + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_2}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, {\left(t\_1 + \sqrt{x}\right)}^{-1}\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\end{array}
\end{array}
if y < 2e14Initial program 97.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.6
Applied rewrites97.6%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites97.9%
if 2e14 < y Initial program 83.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.2%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6487.9
Applied rewrites87.9%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6489.9
Applied rewrites89.9%
Final simplification94.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= y 2.4e-21)
(+
(+ (sqrt (+ y 1.0)) 1.0)
(- (sqrt (+ z 1.0)) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))
(if (<= y 3.4e+16)
(- (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y))) (+ (sqrt y) (sqrt x)))
(+
(- (fma (sqrt (pow z -1.0)) 0.5 1.0) (sqrt x))
(- (sqrt (+ t 1.0)) (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 2.4e-21) {
tmp = (sqrt((y + 1.0)) + 1.0) + (sqrt((z + 1.0)) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
} else if (y <= 3.4e+16) {
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
} else {
tmp = (fma(sqrt(pow(z, -1.0)), 0.5, 1.0) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 2.4e-21) tmp = Float64(Float64(sqrt(Float64(y + 1.0)) + 1.0) + Float64(sqrt(Float64(z + 1.0)) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); elseif (y <= 3.4e+16) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(fma(sqrt((z ^ -1.0)), 0.5, 1.0) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[y, 2.4e-21], N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 3.4e+16], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 2.4 \cdot 10^{-21}:\\
\;\;\;\;\left(\sqrt{y + 1} + 1\right) + \left(\sqrt{z + 1} - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right)\\
\mathbf{elif}\;y \leq 3.4 \cdot 10^{+16}:\\
\;\;\;\;\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, 1\right) - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\end{array}
\end{array}
if y < 2.3999999999999999e-21Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6421.2
Applied rewrites21.2%
Taylor expanded in x around 0
Applied rewrites18.6%
Applied rewrites38.1%
if 2.3999999999999999e-21 < y < 3.4e16Initial program 94.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.6
Applied rewrites18.6%
Taylor expanded in z around inf
Applied rewrites34.0%
if 3.4e16 < y Initial program 83.9%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.8
Applied rewrites19.8%
Taylor expanded in y around inf
Applied rewrites37.2%
Taylor expanded in x around 0
Applied rewrites25.3%
Final simplification32.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(+
(+
(/
(+ (+ 1.0 (sqrt x)) (+ (sqrt (+ 1.0 y)) (sqrt y)))
(* (+ (sqrt y) (sqrt (+ y 1.0))) (+ (sqrt x) (sqrt (+ 1.0 x)))))
(- (sqrt (+ z 1.0)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return ((((1.0 + sqrt(x)) + (sqrt((1.0 + y)) + sqrt(y))) / ((sqrt(y) + sqrt((y + 1.0))) * (sqrt(x) + sqrt((1.0 + x))))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = ((((1.0d0 + sqrt(x)) + (sqrt((1.0d0 + y)) + sqrt(y))) / ((sqrt(y) + sqrt((y + 1.0d0))) * (sqrt(x) + sqrt((1.0d0 + x))))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return ((((1.0 + Math.sqrt(x)) + (Math.sqrt((1.0 + y)) + Math.sqrt(y))) / ((Math.sqrt(y) + Math.sqrt((y + 1.0))) * (Math.sqrt(x) + Math.sqrt((1.0 + x))))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return ((((1.0 + math.sqrt(x)) + (math.sqrt((1.0 + y)) + math.sqrt(y))) / ((math.sqrt(y) + math.sqrt((y + 1.0))) * (math.sqrt(x) + math.sqrt((1.0 + x))))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(Float64(Float64(Float64(1.0 + sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) + sqrt(y))) / Float64(Float64(sqrt(y) + sqrt(Float64(y + 1.0))) * Float64(sqrt(x) + sqrt(Float64(1.0 + x))))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = ((((1.0 + sqrt(x)) + (sqrt((1.0 + y)) + sqrt(y))) / ((sqrt(y) + sqrt((y + 1.0))) * (sqrt(x) + sqrt((1.0 + x))))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[(N[(N[(1.0 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $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}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\frac{\left(1 + \sqrt{x}\right) + \left(\sqrt{1 + y} + \sqrt{y}\right)}{\left(\sqrt{y} + \sqrt{y + 1}\right) \cdot \left(\sqrt{x} + \sqrt{1 + x}\right)} + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Initial program 91.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites92.2%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6472.4
Applied rewrites72.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= y 3.4e+16)
(- (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y))) (+ (sqrt y) (sqrt x)))
(+
(- (fma (sqrt (pow z -1.0)) 0.5 1.0) (sqrt x))
(- (sqrt (+ t 1.0)) (sqrt t)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 3.4e+16) {
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
} else {
tmp = (fma(sqrt(pow(z, -1.0)), 0.5, 1.0) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 3.4e+16) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(fma(sqrt((z ^ -1.0)), 0.5, 1.0) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[y, 3.4e+16], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 3.4 \cdot 10^{+16}:\\
\;\;\;\;\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, 1\right) - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\end{array}
\end{array}
if y < 3.4e16Initial program 97.4%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.9
Applied rewrites20.9%
Taylor expanded in z around inf
Applied rewrites25.2%
if 3.4e16 < y Initial program 83.9%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.8
Applied rewrites19.8%
Taylor expanded in y around inf
Applied rewrites37.2%
Taylor expanded in x around 0
Applied rewrites25.3%
Final simplification25.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= z 3e+31) (- (sqrt z) (- (+ (sqrt z) (sqrt y)) 1.0)) (* (+ 0.5 (sqrt (pow x -1.0))) x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 3e+31) {
tmp = sqrt(z) - ((sqrt(z) + sqrt(y)) - 1.0);
} else {
tmp = (0.5 + sqrt(pow(x, -1.0))) * x;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (z <= 3d+31) then
tmp = sqrt(z) - ((sqrt(z) + sqrt(y)) - 1.0d0)
else
tmp = (0.5d0 + sqrt((x ** (-1.0d0)))) * x
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (z <= 3e+31) {
tmp = Math.sqrt(z) - ((Math.sqrt(z) + Math.sqrt(y)) - 1.0);
} else {
tmp = (0.5 + Math.sqrt(Math.pow(x, -1.0))) * x;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if z <= 3e+31: tmp = math.sqrt(z) - ((math.sqrt(z) + math.sqrt(y)) - 1.0) else: tmp = (0.5 + math.sqrt(math.pow(x, -1.0))) * x return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 3e+31) tmp = Float64(sqrt(z) - Float64(Float64(sqrt(z) + sqrt(y)) - 1.0)); else tmp = Float64(Float64(0.5 + sqrt((x ^ -1.0))) * x); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (z <= 3e+31)
tmp = sqrt(z) - ((sqrt(z) + sqrt(y)) - 1.0);
else
tmp = (0.5 + sqrt((x ^ -1.0))) * x;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[z, 3e+31], N[(N[Sqrt[z], $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 3 \cdot 10^{+31}:\\
\;\;\;\;\sqrt{z} - \left(\left(\sqrt{z} + \sqrt{y}\right) - 1\right)\\
\mathbf{else}:\\
\;\;\;\;\left(0.5 + \sqrt{{x}^{-1}}\right) \cdot x\\
\end{array}
\end{array}
if z < 2.99999999999999989e31Initial program 95.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites22.7%
Taylor expanded in t around inf
Applied rewrites20.7%
Taylor expanded in z around inf
Applied rewrites11.1%
if 2.99999999999999989e31 < z Initial program 88.1%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites3.4%
Taylor expanded in x around inf
Applied rewrites3.6%
Taylor expanded in x around 0
Applied rewrites1.6%
Taylor expanded in x around -inf
Applied rewrites6.0%
Final simplification8.7%
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 (pow x -1.0))) x))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (0.5 + sqrt(pow(x, -1.0))) * 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 = (0.5d0 + sqrt((x ** (-1.0d0)))) * x
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(Math.pow(x, -1.0))) * x;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (0.5 + math.sqrt(math.pow(x, -1.0))) * x
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(0.5 + sqrt((x ^ -1.0))) * x) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (0.5 + sqrt((x ^ -1.0))) * x;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(0.5 + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(0.5 + \sqrt{{x}^{-1}}\right) \cdot x
\end{array}
Initial program 91.9%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites13.8%
Taylor expanded in x around inf
Applied rewrites3.7%
Taylor expanded in x around 0
Applied rewrites1.6%
Taylor expanded in x around -inf
Applied rewrites6.2%
Final simplification6.2%
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 y) (sqrt x))))
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(y) + sqrt(x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt((1.0d0 + x)) + sqrt((1.0d0 + y))) - (sqrt(y) + 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((1.0 + x)) + Math.sqrt((1.0 + y))) - (Math.sqrt(y) + Math.sqrt(x));
}
[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(y) + math.sqrt(x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))) 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(y) + sqrt(x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)
\end{array}
Initial program 91.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6414.3
Applied rewrites14.3%
Taylor expanded in z around inf
Applied rewrites16.7%
Final simplification16.7%
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 x) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (0.5 * x) - sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (0.5d0 * x) - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (0.5 * x) - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (0.5 * x) - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(0.5 * x) - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (0.5 * x) - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(0.5 * x), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
0.5 \cdot x - \sqrt{x}
\end{array}
Initial program 91.9%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites13.8%
Taylor expanded in x around inf
Applied rewrites3.7%
Taylor expanded in x around 0
Applied rewrites3.7%
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 91.9%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites13.8%
Taylor expanded in x around inf
Applied rewrites3.7%
Taylor expanded in x around 0
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 2024324
(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))))