
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 18 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (pow (+ t_1 (sqrt y)) -1.0))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_3)))
(if (<= t_5 2e-5)
(+ (+ (fma (sqrt (pow x -1.0)) 0.5 t_2) t_3) t_4)
(if (<= t_5 2.0005)
(+
(- (+ (fma (sqrt (pow z -1.0)) 0.5 t_2) (sqrt (+ 1.0 x))) (sqrt x))
t_4)
(+
1.0
(-
(+ (+ (pow (+ (sqrt (+ 1.0 t)) (sqrt t)) -1.0) (sqrt (+ 1.0 z))) 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 = pow((t_1 + sqrt(y)), -1.0);
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_3;
double tmp;
if (t_5 <= 2e-5) {
tmp = (fma(sqrt(pow(x, -1.0)), 0.5, t_2) + t_3) + t_4;
} else if (t_5 <= 2.0005) {
tmp = ((fma(sqrt(pow(z, -1.0)), 0.5, t_2) + sqrt((1.0 + x))) - sqrt(x)) + t_4;
} else {
tmp = 1.0 + (((pow((sqrt((1.0 + t)) + sqrt(t)), -1.0) + sqrt((1.0 + z))) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(t_1 + sqrt(y)) ^ -1.0 t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_3) tmp = 0.0 if (t_5 <= 2e-5) tmp = Float64(Float64(fma(sqrt((x ^ -1.0)), 0.5, t_2) + t_3) + t_4); elseif (t_5 <= 2.0005) tmp = Float64(Float64(Float64(fma(sqrt((z ^ -1.0)), 0.5, t_2) + sqrt(Float64(1.0 + x))) - sqrt(x)) + t_4); else tmp = Float64(1.0 + Float64(Float64(Float64((Float64(sqrt(Float64(1.0 + t)) + sqrt(t)) ^ -1.0) + sqrt(Float64(1.0 + z))) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(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]}, If[LessEqual[t$95$5, 2e-5], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$5, 2.0005], N[(N[(N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(1.0 + N[(N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $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 := {\left(t\_1 + \sqrt{y}\right)}^{-1}\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_3\\
\mathbf{if}\;t\_5 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{x}^{-1}}, 0.5, t\_2\right) + t\_3\right) + t\_4\\
\mathbf{elif}\;t\_5 \leq 2.0005:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, t\_2\right) + \sqrt{1 + x}\right) - \sqrt{x}\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(\left({\left(\sqrt{1 + t} + \sqrt{t}\right)}^{-1} + \sqrt{1 + z}\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))) < 2.00000000000000016e-5Initial program 63.0%
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-+.f6463.0
Applied rewrites63.0%
Taylor expanded in x 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
lower-+.f64N/A
lower-sqrt.f6485.5
Applied rewrites85.5%
if 2.00000000000000016e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00050000000000017Initial program 97.1%
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-+.f6497.3
Applied rewrites97.3%
Taylor expanded in z around inf
lower--.f64N/A
Applied rewrites36.5%
if 2.00050000000000017 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.7
Applied rewrites99.7%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites96.6%
Final simplification47.8%
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 (+ 1.0 y)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
t_3))
(t_5 (sqrt (+ 1.0 x))))
(if (<= t_4 2e-5)
(+ (* 0.5 (+ t_1 (sqrt (pow x -1.0)))) t_3)
(if (<= t_4 1.0)
(+ (- (- t_5 (sqrt x)) (/ -0.5 (sqrt z))) t_3)
(if (<= t_4 2.0005)
(- (+ t_5 (fma t_1 0.5 t_2)) (+ (sqrt y) (sqrt x)))
(if (<= t_4 2.99999999999922)
(-
(+ (+ t_2 1.0) (sqrt (+ 1.0 z)))
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(+
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- 1.0 (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(pow(z, -1.0));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + t_3;
double t_5 = sqrt((1.0 + x));
double tmp;
if (t_4 <= 2e-5) {
tmp = (0.5 * (t_1 + sqrt(pow(x, -1.0)))) + t_3;
} else if (t_4 <= 1.0) {
tmp = ((t_5 - sqrt(x)) - (-0.5 / sqrt(z))) + t_3;
} else if (t_4 <= 2.0005) {
tmp = (t_5 + fma(t_1, 0.5, t_2)) - (sqrt(y) + sqrt(x));
} else if (t_4 <= 2.99999999999922) {
tmp = ((t_2 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z))) + t_3;
}
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 = sqrt(Float64(1.0 + y)) 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))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + t_3) t_5 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (t_4 <= 2e-5) tmp = Float64(Float64(0.5 * Float64(t_1 + sqrt((x ^ -1.0)))) + t_3); elseif (t_4 <= 1.0) tmp = Float64(Float64(Float64(t_5 - sqrt(x)) - Float64(-0.5 / sqrt(z))) + t_3); elseif (t_4 <= 2.0005) tmp = Float64(Float64(t_5 + fma(t_1, 0.5, t_2)) - Float64(sqrt(y) + sqrt(x))); elseif (t_4 <= 2.99999999999922) tmp = Float64(Float64(Float64(t_2 + 1.0) + sqrt(Float64(1.0 + z))) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(1.0 - 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[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, 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] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 2e-5], N[(N[(0.5 * N[(t$95$1 + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 1.0], N[(N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(-0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 2.0005], N[(N[(t$95$5 + N[(t$95$1 * 0.5 + t$95$2), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.99999999999922], N[(N[(N[(t$95$2 + 1.0), $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - 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{{z}^{-1}}\\
t_2 := \sqrt{1 + y}\\
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) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + t\_3\\
t_5 := \sqrt{1 + x}\\
\mathbf{if}\;t\_4 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;0.5 \cdot \left(t\_1 + \sqrt{{x}^{-1}}\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 1:\\
\;\;\;\;\left(\left(t\_5 - \sqrt{x}\right) - \frac{-0.5}{\sqrt{z}}\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 2.0005:\\
\;\;\;\;\left(t\_5 + \mathsf{fma}\left(t\_1, 0.5, t\_2\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_4 \leq 2.99999999999922:\\
\;\;\;\;\left(\left(t\_2 + 1\right) + \sqrt{1 + z}\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(1 - \sqrt{z}\right)\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))) < 2.00000000000000016e-5Initial program 9.7%
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.f649.7
Applied rewrites9.7%
Taylor expanded in y around inf
Applied rewrites9.7%
Taylor expanded in x around inf
Applied rewrites41.6%
if 2.00000000000000016e-5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 97.6%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.4
Applied rewrites28.4%
Taylor expanded in y around inf
Applied rewrites47.4%
Applied rewrites48.9%
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))) < 2.00050000000000017Initial program 96.4%
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.f644.5
Applied rewrites4.5%
Taylor expanded in z around inf
Applied rewrites17.9%
if 2.00050000000000017 < (+.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))) < 2.9999999999992202Initial 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.f6424.4
Applied rewrites24.4%
Taylor expanded in x around 0
Applied rewrites18.6%
if 2.9999999999992202 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6472.7
Applied rewrites72.7%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6460.8
Applied rewrites60.8%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6437.6
Applied rewrites37.6%
Final simplification31.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ 1.0 x)))
(t_3
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
t_1))
(t_4 (sqrt (+ 1.0 y))))
(if (<= t_3 2e-5)
(+ (* 0.5 (+ (sqrt (pow z -1.0)) (sqrt (pow x -1.0)))) t_1)
(if (<= t_3 1.0)
(+ (- (- t_2 (sqrt x)) (/ -0.5 (sqrt z))) t_1)
(if (<= t_3 2.000001)
(- (+ t_2 t_4) (+ (sqrt y) (sqrt x)))
(if (<= t_3 2.99999999999922)
(-
(+ (+ t_4 1.0) (sqrt (+ 1.0 z)))
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(+
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- 1.0 (sqrt z)))
t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + x));
double t_3 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + t_1;
double t_4 = sqrt((1.0 + y));
double tmp;
if (t_3 <= 2e-5) {
tmp = (0.5 * (sqrt(pow(z, -1.0)) + sqrt(pow(x, -1.0)))) + t_1;
} else if (t_3 <= 1.0) {
tmp = ((t_2 - sqrt(x)) - (-0.5 / sqrt(z))) + t_1;
} else if (t_3 <= 2.000001) {
tmp = (t_2 + t_4) - (sqrt(y) + sqrt(x));
} else if (t_3 <= 2.99999999999922) {
tmp = ((t_4 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z))) + t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((t + 1.0d0)) - sqrt(t)
t_2 = sqrt((1.0d0 + x))
t_3 = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + t_1
t_4 = sqrt((1.0d0 + y))
if (t_3 <= 2d-5) then
tmp = (0.5d0 * (sqrt((z ** (-1.0d0))) + sqrt((x ** (-1.0d0))))) + t_1
else if (t_3 <= 1.0d0) then
tmp = ((t_2 - sqrt(x)) - ((-0.5d0) / sqrt(z))) + t_1
else if (t_3 <= 2.000001d0) then
tmp = (t_2 + t_4) - (sqrt(y) + sqrt(x))
else if (t_3 <= 2.99999999999922d0) then
tmp = ((t_4 + 1.0d0) + sqrt((1.0d0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x))
else
tmp = (((1.0d0 - sqrt(x)) + (1.0d0 - sqrt(y))) + (1.0d0 - sqrt(z))) + t_1
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + t_1;
double t_4 = Math.sqrt((1.0 + y));
double tmp;
if (t_3 <= 2e-5) {
tmp = (0.5 * (Math.sqrt(Math.pow(z, -1.0)) + Math.sqrt(Math.pow(x, -1.0)))) + t_1;
} else if (t_3 <= 1.0) {
tmp = ((t_2 - Math.sqrt(x)) - (-0.5 / Math.sqrt(z))) + t_1;
} else if (t_3 <= 2.000001) {
tmp = (t_2 + t_4) - (Math.sqrt(y) + Math.sqrt(x));
} else if (t_3 <= 2.99999999999922) {
tmp = ((t_4 + 1.0) + Math.sqrt((1.0 + z))) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x));
} else {
tmp = (((1.0 - Math.sqrt(x)) + (1.0 - Math.sqrt(y))) + (1.0 - Math.sqrt(z))) + t_1;
}
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((1.0 + x)) t_3 = (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + t_1 t_4 = math.sqrt((1.0 + y)) tmp = 0 if t_3 <= 2e-5: tmp = (0.5 * (math.sqrt(math.pow(z, -1.0)) + math.sqrt(math.pow(x, -1.0)))) + t_1 elif t_3 <= 1.0: tmp = ((t_2 - math.sqrt(x)) - (-0.5 / math.sqrt(z))) + t_1 elif t_3 <= 2.000001: tmp = (t_2 + t_4) - (math.sqrt(y) + math.sqrt(x)) elif t_3 <= 2.99999999999922: tmp = ((t_4 + 1.0) + math.sqrt((1.0 + z))) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x)) else: tmp = (((1.0 - math.sqrt(x)) + (1.0 - math.sqrt(y))) + (1.0 - math.sqrt(z))) + t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + x)) t_3 = 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))) + t_1) t_4 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_3 <= 2e-5) tmp = Float64(Float64(0.5 * Float64(sqrt((z ^ -1.0)) + sqrt((x ^ -1.0)))) + t_1); elseif (t_3 <= 1.0) tmp = Float64(Float64(Float64(t_2 - sqrt(x)) - Float64(-0.5 / sqrt(z))) + t_1); elseif (t_3 <= 2.000001) tmp = Float64(Float64(t_2 + t_4) - Float64(sqrt(y) + sqrt(x))); elseif (t_3 <= 2.99999999999922) tmp = Float64(Float64(Float64(t_4 + 1.0) + sqrt(Float64(1.0 + z))) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(z))) + t_1); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0)) - sqrt(t);
t_2 = sqrt((1.0 + x));
t_3 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + t_1;
t_4 = sqrt((1.0 + y));
tmp = 0.0;
if (t_3 <= 2e-5)
tmp = (0.5 * (sqrt((z ^ -1.0)) + sqrt((x ^ -1.0)))) + t_1;
elseif (t_3 <= 1.0)
tmp = ((t_2 - sqrt(x)) - (-0.5 / sqrt(z))) + t_1;
elseif (t_3 <= 2.000001)
tmp = (t_2 + t_4) - (sqrt(y) + sqrt(x));
elseif (t_3 <= 2.99999999999922)
tmp = ((t_4 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
else
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z))) + t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $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[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 2e-5], N[(N[(0.5 * N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$3, 1.0], N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(-0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$3, 2.000001], N[(N[(t$95$2 + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 2.99999999999922], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{1 + x}\\
t_3 := \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) + t\_1\\
t_4 := \sqrt{1 + y}\\
\mathbf{if}\;t\_3 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{z}^{-1}} + \sqrt{{x}^{-1}}\right) + t\_1\\
\mathbf{elif}\;t\_3 \leq 1:\\
\;\;\;\;\left(\left(t\_2 - \sqrt{x}\right) - \frac{-0.5}{\sqrt{z}}\right) + t\_1\\
\mathbf{elif}\;t\_3 \leq 2.000001:\\
\;\;\;\;\left(t\_2 + t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_3 \leq 2.99999999999922:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + \sqrt{1 + z}\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(1 - \sqrt{z}\right)\right) + t\_1\\
\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))) < 2.00000000000000016e-5Initial program 9.7%
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.f649.7
Applied rewrites9.7%
Taylor expanded in y around inf
Applied rewrites9.7%
Taylor expanded in x around inf
Applied rewrites41.6%
if 2.00000000000000016e-5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 97.6%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.4
Applied rewrites28.4%
Taylor expanded in y around inf
Applied rewrites47.4%
Applied rewrites48.9%
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))) < 2.0000010000000001Initial program 96.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.6
Applied rewrites3.6%
Taylor expanded in z around inf
Applied rewrites17.2%
if 2.0000010000000001 < (+.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))) < 2.9999999999992202Initial program 95.0%
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.f6425.8
Applied rewrites25.8%
Taylor expanded in x around 0
Applied rewrites17.1%
if 2.9999999999992202 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6472.7
Applied rewrites72.7%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6460.8
Applied rewrites60.8%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6437.6
Applied rewrites37.6%
Final simplification30.6%
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 (+ t 1.0)))
(t_2 (- t_1 (sqrt t)))
(t_3 (sqrt (+ z 1.0)))
(t_4
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- t_3 (sqrt z))))
(t_5 (sqrt (pow z -1.0))))
(if (<= t_4 0.2)
(+ (* 0.5 (+ t_5 (sqrt (pow x -1.0)))) t_2)
(if (<= t_4 1.00005)
(+ (- (fma 0.5 (+ t_5 (sqrt (pow y -1.0))) 1.0) (sqrt x)) t_2)
(if (<= t_4 2.0005)
(-
(+ (sqrt (+ 1.0 x)) (fma t_5 0.5 (sqrt (+ 1.0 y))))
(+ (sqrt y) (sqrt x)))
(+
2.0
(-
(+ (pow (+ t_1 (sqrt t)) -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((t + 1.0));
double t_2 = t_1 - sqrt(t);
double t_3 = sqrt((z + 1.0));
double t_4 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (t_3 - sqrt(z));
double t_5 = sqrt(pow(z, -1.0));
double tmp;
if (t_4 <= 0.2) {
tmp = (0.5 * (t_5 + sqrt(pow(x, -1.0)))) + t_2;
} else if (t_4 <= 1.00005) {
tmp = (fma(0.5, (t_5 + sqrt(pow(y, -1.0))), 1.0) - sqrt(x)) + t_2;
} else if (t_4 <= 2.0005) {
tmp = (sqrt((1.0 + x)) + fma(t_5, 0.5, sqrt((1.0 + y)))) - (sqrt(y) + sqrt(x));
} else {
tmp = 2.0 + ((pow((t_1 + sqrt(t)), -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(Float64(t + 1.0)) t_2 = Float64(t_1 - sqrt(t)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(t_3 - sqrt(z))) t_5 = sqrt((z ^ -1.0)) tmp = 0.0 if (t_4 <= 0.2) tmp = Float64(Float64(0.5 * Float64(t_5 + sqrt((x ^ -1.0)))) + t_2); elseif (t_4 <= 1.00005) tmp = Float64(Float64(fma(0.5, Float64(t_5 + sqrt((y ^ -1.0))), 1.0) - sqrt(x)) + t_2); elseif (t_4 <= 2.0005) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + fma(t_5, 0.5, sqrt(Float64(1.0 + y)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(2.0 + Float64(Float64((Float64(t_1 + sqrt(t)) ^ -1.0) + 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[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $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] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 0.2], N[(N[(0.5 * N[(t$95$5 + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$4, 1.00005], N[(N[(N[(0.5 * N[(t$95$5 + N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$4, 2.0005], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(t$95$5 * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(N[Power[N[(t$95$1 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision], -1.0], $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 := t\_1 - \sqrt{t}\\
t_3 := \sqrt{z + 1}\\
t_4 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(t\_3 - \sqrt{z}\right)\\
t_5 := \sqrt{{z}^{-1}}\\
\mathbf{if}\;t\_4 \leq 0.2:\\
\;\;\;\;0.5 \cdot \left(t\_5 + \sqrt{{x}^{-1}}\right) + t\_2\\
\mathbf{elif}\;t\_4 \leq 1.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t\_5 + \sqrt{{y}^{-1}}, 1\right) - \sqrt{x}\right) + t\_2\\
\mathbf{elif}\;t\_4 \leq 2.0005:\\
\;\;\;\;\left(\sqrt{1 + x} + \mathsf{fma}\left(t\_5, 0.5, \sqrt{1 + y}\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left({\left(t\_1 + \sqrt{t}\right)}^{-1} + 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))) < 0.20000000000000001Initial program 66.1%
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.f6456.7
Applied rewrites56.7%
Taylor expanded in y around inf
Applied rewrites62.4%
Taylor expanded in x around inf
Applied rewrites73.5%
if 0.20000000000000001 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 97.2%
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.f6415.9
Applied rewrites15.9%
Taylor expanded in x around 0
Applied rewrites38.0%
Taylor expanded in y around inf
Applied rewrites34.5%
if 1.00005000000000011 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00050000000000017Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.6
Applied rewrites5.6%
Taylor expanded in z around inf
Applied rewrites18.9%
if 2.00050000000000017 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.7
Applied rewrites99.7%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites96.6%
Taylor expanded in y around 0
Applied rewrites93.3%
Final simplification38.6%
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 (+ t 1.0)) (sqrt t)))
(t_2
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z))))
(t_3 (sqrt (+ 1.0 y))))
(if (<= t_2 0.2)
(+ (* 0.5 (+ (sqrt (pow z -1.0)) (sqrt (pow x -1.0)))) t_1)
(if (<= t_2 1.0)
(+ (- (fma 0.5 x (- 1.0 (/ -0.5 (sqrt z)))) (sqrt x)) t_1)
(if (<= t_2 2.000001)
(- (+ (sqrt (+ 1.0 x)) t_3) (+ (sqrt y) (sqrt x)))
(if (<= t_2 2.99999999999922)
(-
(+ (+ t_3 1.0) (sqrt (+ 1.0 z)))
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(+
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- 1.0 (sqrt z)))
t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z));
double t_3 = sqrt((1.0 + y));
double tmp;
if (t_2 <= 0.2) {
tmp = (0.5 * (sqrt(pow(z, -1.0)) + sqrt(pow(x, -1.0)))) + t_1;
} else if (t_2 <= 1.0) {
tmp = (fma(0.5, x, (1.0 - (-0.5 / sqrt(z)))) - sqrt(x)) + t_1;
} else if (t_2 <= 2.000001) {
tmp = (sqrt((1.0 + x)) + t_3) - (sqrt(y) + sqrt(x));
} else if (t_2 <= 2.99999999999922) {
tmp = ((t_3 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = 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))) t_3 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_2 <= 0.2) tmp = Float64(Float64(0.5 * Float64(sqrt((z ^ -1.0)) + sqrt((x ^ -1.0)))) + t_1); elseif (t_2 <= 1.0) tmp = Float64(Float64(fma(0.5, x, Float64(1.0 - Float64(-0.5 / sqrt(z)))) - sqrt(x)) + t_1); elseif (t_2 <= 2.000001) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + t_3) - Float64(sqrt(y) + sqrt(x))); elseif (t_2 <= 2.99999999999922) tmp = Float64(Float64(Float64(t_3 + 1.0) + sqrt(Float64(1.0 + z))) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(z))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(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]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 0.2], N[(N[(0.5 * N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$2, 1.0], N[(N[(N[(0.5 * x + N[(1.0 - N[(-0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$2, 2.000001], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 2.99999999999922], N[(N[(N[(t$95$3 + 1.0), $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\\
t_3 := \sqrt{1 + y}\\
\mathbf{if}\;t\_2 \leq 0.2:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{z}^{-1}} + \sqrt{{x}^{-1}}\right) + t\_1\\
\mathbf{elif}\;t\_2 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, 1 - \frac{-0.5}{\sqrt{z}}\right) - \sqrt{x}\right) + t\_1\\
\mathbf{elif}\;t\_2 \leq 2.000001:\\
\;\;\;\;\left(\sqrt{1 + x} + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_2 \leq 2.99999999999922:\\
\;\;\;\;\left(\left(t\_3 + 1\right) + \sqrt{1 + z}\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(1 - \sqrt{z}\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.20000000000000001Initial program 66.1%
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.f6456.7
Applied rewrites56.7%
Taylor expanded in y around inf
Applied rewrites62.4%
Taylor expanded in x around inf
Applied rewrites73.5%
if 0.20000000000000001 < (+.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 98.6%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6413.8
Applied rewrites13.8%
Taylor expanded in y around inf
Applied rewrites38.2%
Taylor expanded in x around 0
Applied rewrites35.2%
Applied rewrites35.2%
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))) < 2.0000010000000001Initial program 96.2%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.9
Applied rewrites4.9%
Taylor expanded in z around inf
Applied rewrites18.8%
if 2.0000010000000001 < (+.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))) < 2.9999999999992202Initial program 95.6%
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.f6482.6
Applied rewrites82.6%
Taylor expanded in x around 0
Applied rewrites53.5%
if 2.9999999999992202 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6498.9
Applied rewrites98.9%
Final simplification38.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
t_1))
(t_3 (sqrt (+ 1.0 y))))
(if (<= t_2 1.0)
(+ (- (fma 0.5 x (- 1.0 (/ -0.5 (sqrt z)))) (sqrt x)) t_1)
(if (<= t_2 2.000001)
(- (+ (sqrt (+ 1.0 x)) t_3) (+ (sqrt y) (sqrt x)))
(if (<= t_2 2.99999999999922)
(-
(+ (+ t_3 1.0) (sqrt (+ 1.0 z)))
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(+
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- 1.0 (sqrt z)))
t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + t_1;
double t_3 = sqrt((1.0 + y));
double tmp;
if (t_2 <= 1.0) {
tmp = (fma(0.5, x, (1.0 - (-0.5 / sqrt(z)))) - sqrt(x)) + t_1;
} else if (t_2 <= 2.000001) {
tmp = (sqrt((1.0 + x)) + t_3) - (sqrt(y) + sqrt(x));
} else if (t_2 <= 2.99999999999922) {
tmp = ((t_3 + 1.0) + sqrt((1.0 + z))) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = 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))) + t_1) t_3 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_2 <= 1.0) tmp = Float64(Float64(fma(0.5, x, Float64(1.0 - Float64(-0.5 / sqrt(z)))) - sqrt(x)) + t_1); elseif (t_2 <= 2.000001) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + t_3) - Float64(sqrt(y) + sqrt(x))); elseif (t_2 <= 2.99999999999922) tmp = Float64(Float64(Float64(t_3 + 1.0) + sqrt(Float64(1.0 + z))) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(z))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(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] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 1.0], N[(N[(N[(0.5 * x + N[(1.0 - N[(-0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$2, 2.000001], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 2.99999999999922], N[(N[(N[(t$95$3 + 1.0), $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \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) + t\_1\\
t_3 := \sqrt{1 + y}\\
\mathbf{if}\;t\_2 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, 1 - \frac{-0.5}{\sqrt{z}}\right) - \sqrt{x}\right) + t\_1\\
\mathbf{elif}\;t\_2 \leq 2.000001:\\
\;\;\;\;\left(\sqrt{1 + x} + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_2 \leq 2.99999999999922:\\
\;\;\;\;\left(\left(t\_3 + 1\right) + \sqrt{1 + z}\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(1 - \sqrt{z}\right)\right) + t\_1\\
\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 86.8%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.1
Applied rewrites26.1%
Taylor expanded in y around inf
Applied rewrites42.8%
Taylor expanded in x around 0
Applied rewrites23.7%
Applied rewrites23.7%
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))) < 2.0000010000000001Initial program 96.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.6
Applied rewrites3.6%
Taylor expanded in z around inf
Applied rewrites17.2%
if 2.0000010000000001 < (+.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))) < 2.9999999999992202Initial program 95.0%
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.f6425.8
Applied rewrites25.8%
Taylor expanded in x around 0
Applied rewrites17.1%
if 2.9999999999992202 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6472.7
Applied rewrites72.7%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6460.8
Applied rewrites60.8%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6437.6
Applied rewrites37.6%
Final simplification24.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_2))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (sqrt (+ 1.0 y))))
(if (<= t_3 0.2)
(+ (+ (pow (+ t_4 (sqrt x)) -1.0) t_2) t_1)
(if (<= t_3 2.000001)
(+ (- (+ t_4 (pow (+ t_5 (sqrt y)) -1.0)) (sqrt x)) t_1)
(+
1.0
(-
(+ (+ (pow (+ (sqrt (+ 1.0 t)) (sqrt t)) -1.0) (sqrt (+ 1.0 z))) t_5)
(+ (+ (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)) - sqrt(z);
double t_3 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2;
double t_4 = sqrt((1.0 + x));
double t_5 = sqrt((1.0 + y));
double tmp;
if (t_3 <= 0.2) {
tmp = (pow((t_4 + sqrt(x)), -1.0) + t_2) + t_1;
} else if (t_3 <= 2.000001) {
tmp = ((t_4 + pow((t_5 + sqrt(y)), -1.0)) - sqrt(x)) + t_1;
} else {
tmp = 1.0 + (((pow((sqrt((1.0 + t)) + sqrt(t)), -1.0) + sqrt((1.0 + z))) + t_5) - ((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)) - sqrt(z)
t_3 = ((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + t_2
t_4 = sqrt((1.0d0 + x))
t_5 = sqrt((1.0d0 + y))
if (t_3 <= 0.2d0) then
tmp = (((t_4 + sqrt(x)) ** (-1.0d0)) + t_2) + t_1
else if (t_3 <= 2.000001d0) then
tmp = ((t_4 + ((t_5 + sqrt(y)) ** (-1.0d0))) - sqrt(x)) + t_1
else
tmp = 1.0d0 + (((((sqrt((1.0d0 + t)) + sqrt(t)) ** (-1.0d0)) + sqrt((1.0d0 + z))) + t_5) - ((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)) - Math.sqrt(z);
double t_3 = ((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + t_2;
double t_4 = Math.sqrt((1.0 + x));
double t_5 = Math.sqrt((1.0 + y));
double tmp;
if (t_3 <= 0.2) {
tmp = (Math.pow((t_4 + Math.sqrt(x)), -1.0) + t_2) + t_1;
} else if (t_3 <= 2.000001) {
tmp = ((t_4 + Math.pow((t_5 + Math.sqrt(y)), -1.0)) - Math.sqrt(x)) + t_1;
} else {
tmp = 1.0 + (((Math.pow((Math.sqrt((1.0 + t)) + Math.sqrt(t)), -1.0) + Math.sqrt((1.0 + z))) + t_5) - ((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)) - math.sqrt(z) t_3 = ((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + t_2 t_4 = math.sqrt((1.0 + x)) t_5 = math.sqrt((1.0 + y)) tmp = 0 if t_3 <= 0.2: tmp = (math.pow((t_4 + math.sqrt(x)), -1.0) + t_2) + t_1 elif t_3 <= 2.000001: tmp = ((t_4 + math.pow((t_5 + math.sqrt(y)), -1.0)) - math.sqrt(x)) + t_1 else: tmp = 1.0 + (((math.pow((math.sqrt((1.0 + t)) + math.sqrt(t)), -1.0) + math.sqrt((1.0 + z))) + t_5) - ((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 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_2) t_4 = sqrt(Float64(1.0 + x)) t_5 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_3 <= 0.2) tmp = Float64(Float64((Float64(t_4 + sqrt(x)) ^ -1.0) + t_2) + t_1); elseif (t_3 <= 2.000001) tmp = Float64(Float64(Float64(t_4 + (Float64(t_5 + sqrt(y)) ^ -1.0)) - sqrt(x)) + t_1); else tmp = Float64(1.0 + Float64(Float64(Float64((Float64(sqrt(Float64(1.0 + t)) + sqrt(t)) ^ -1.0) + sqrt(Float64(1.0 + z))) + t_5) - 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)) - sqrt(z);
t_3 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_2;
t_4 = sqrt((1.0 + x));
t_5 = sqrt((1.0 + y));
tmp = 0.0;
if (t_3 <= 0.2)
tmp = (((t_4 + sqrt(x)) ^ -1.0) + t_2) + t_1;
elseif (t_3 <= 2.000001)
tmp = ((t_4 + ((t_5 + sqrt(y)) ^ -1.0)) - sqrt(x)) + t_1;
else
tmp = 1.0 + (((((sqrt((1.0 + t)) + sqrt(t)) ^ -1.0) + sqrt((1.0 + z))) + t_5) - ((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[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = 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]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 0.2], N[(N[(N[Power[N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$3, 2.000001], N[(N[(N[(t$95$4 + N[Power[N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(1.0 + N[(N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$5), $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} - \sqrt{t}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_2\\
t_4 := \sqrt{1 + x}\\
t_5 := \sqrt{1 + y}\\
\mathbf{if}\;t\_3 \leq 0.2:\\
\;\;\;\;\left({\left(t\_4 + \sqrt{x}\right)}^{-1} + t\_2\right) + t\_1\\
\mathbf{elif}\;t\_3 \leq 2.000001:\\
\;\;\;\;\left(\left(t\_4 + {\left(t\_5 + \sqrt{y}\right)}^{-1}\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(\left({\left(\sqrt{1 + t} + \sqrt{t}\right)}^{-1} + \sqrt{1 + z}\right) + t\_5\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))) < 0.20000000000000001Initial program 66.1%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f6468.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6468.0
Applied rewrites68.0%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6471.4
Applied rewrites71.4%
if 0.20000000000000001 < (+.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))) < 2.0000010000000001Initial program 97.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.4
Applied rewrites97.4%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6439.4
Applied rewrites39.4%
if 2.0000010000000001 < (+.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 98.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites93.5%
Final simplification49.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0)))
(t_2 (- t_1 (sqrt t)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (- t_3 (sqrt z)))
(t_5
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_4))
(t_6 (sqrt (+ 1.0 x))))
(if (<= t_5 0.2)
(+ (+ (pow (+ t_6 (sqrt x)) -1.0) t_4) t_2)
(if (<= t_5 2.000001)
(+ (- (+ t_6 (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0)) (sqrt x)) t_2)
(+
2.0
(-
(+ (pow (+ t_1 (sqrt t)) -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((t + 1.0));
double t_2 = t_1 - sqrt(t);
double t_3 = sqrt((z + 1.0));
double t_4 = t_3 - sqrt(z);
double t_5 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_4;
double t_6 = sqrt((1.0 + x));
double tmp;
if (t_5 <= 0.2) {
tmp = (pow((t_6 + sqrt(x)), -1.0) + t_4) + t_2;
} else if (t_5 <= 2.000001) {
tmp = ((t_6 + pow((sqrt((1.0 + y)) + sqrt(y)), -1.0)) - sqrt(x)) + t_2;
} else {
tmp = 2.0 + ((pow((t_1 + sqrt(t)), -1.0) + t_3) - ((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) :: t_6
real(8) :: tmp
t_1 = sqrt((t + 1.0d0))
t_2 = t_1 - sqrt(t)
t_3 = sqrt((z + 1.0d0))
t_4 = t_3 - sqrt(z)
t_5 = ((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + t_4
t_6 = sqrt((1.0d0 + x))
if (t_5 <= 0.2d0) then
tmp = (((t_6 + sqrt(x)) ** (-1.0d0)) + t_4) + t_2
else if (t_5 <= 2.000001d0) then
tmp = ((t_6 + ((sqrt((1.0d0 + y)) + sqrt(y)) ** (-1.0d0))) - sqrt(x)) + t_2
else
tmp = 2.0d0 + ((((t_1 + sqrt(t)) ** (-1.0d0)) + t_3) - ((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));
double t_2 = t_1 - Math.sqrt(t);
double t_3 = Math.sqrt((z + 1.0));
double t_4 = t_3 - Math.sqrt(z);
double t_5 = ((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + t_4;
double t_6 = Math.sqrt((1.0 + x));
double tmp;
if (t_5 <= 0.2) {
tmp = (Math.pow((t_6 + Math.sqrt(x)), -1.0) + t_4) + t_2;
} else if (t_5 <= 2.000001) {
tmp = ((t_6 + Math.pow((Math.sqrt((1.0 + y)) + Math.sqrt(y)), -1.0)) - Math.sqrt(x)) + t_2;
} else {
tmp = 2.0 + ((Math.pow((t_1 + Math.sqrt(t)), -1.0) + t_3) - ((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)) t_2 = t_1 - math.sqrt(t) t_3 = math.sqrt((z + 1.0)) t_4 = t_3 - math.sqrt(z) t_5 = ((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + t_4 t_6 = math.sqrt((1.0 + x)) tmp = 0 if t_5 <= 0.2: tmp = (math.pow((t_6 + math.sqrt(x)), -1.0) + t_4) + t_2 elif t_5 <= 2.000001: tmp = ((t_6 + math.pow((math.sqrt((1.0 + y)) + math.sqrt(y)), -1.0)) - math.sqrt(x)) + t_2 else: tmp = 2.0 + ((math.pow((t_1 + math.sqrt(t)), -1.0) + t_3) - ((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(t + 1.0)) t_2 = Float64(t_1 - sqrt(t)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(t_3 - sqrt(z)) t_5 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_4) t_6 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (t_5 <= 0.2) tmp = Float64(Float64((Float64(t_6 + sqrt(x)) ^ -1.0) + t_4) + t_2); elseif (t_5 <= 2.000001) tmp = Float64(Float64(Float64(t_6 + (Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0)) - sqrt(x)) + t_2); else tmp = Float64(2.0 + Float64(Float64((Float64(t_1 + sqrt(t)) ^ -1.0) + t_3) - 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));
t_2 = t_1 - sqrt(t);
t_3 = sqrt((z + 1.0));
t_4 = t_3 - sqrt(z);
t_5 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_4;
t_6 = sqrt((1.0 + x));
tmp = 0.0;
if (t_5 <= 0.2)
tmp = (((t_6 + sqrt(x)) ^ -1.0) + t_4) + t_2;
elseif (t_5 <= 2.000001)
tmp = ((t_6 + ((sqrt((1.0 + y)) + sqrt(y)) ^ -1.0)) - sqrt(x)) + t_2;
else
tmp = 2.0 + ((((t_1 + sqrt(t)) ^ -1.0) + t_3) - ((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[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = 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$4), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$5, 0.2], N[(N[(N[Power[N[(t$95$6 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$5, 2.000001], N[(N[(N[(t$95$6 + N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(2.0 + N[(N[(N[Power[N[(t$95$1 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision], -1.0], $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 := t\_1 - \sqrt{t}\\
t_3 := \sqrt{z + 1}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_4\\
t_6 := \sqrt{1 + x}\\
\mathbf{if}\;t\_5 \leq 0.2:\\
\;\;\;\;\left({\left(t\_6 + \sqrt{x}\right)}^{-1} + t\_4\right) + t\_2\\
\mathbf{elif}\;t\_5 \leq 2.000001:\\
\;\;\;\;\left(\left(t\_6 + {\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1}\right) - \sqrt{x}\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left({\left(t\_1 + \sqrt{t}\right)}^{-1} + 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))) < 0.20000000000000001Initial program 66.1%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f6468.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6468.0
Applied rewrites68.0%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6471.4
Applied rewrites71.4%
if 0.20000000000000001 < (+.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))) < 2.0000010000000001Initial program 97.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.4
Applied rewrites97.4%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6439.4
Applied rewrites39.4%
if 2.0000010000000001 < (+.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 98.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites93.5%
Taylor expanded in y around 0
Applied rewrites90.4%
Final simplification48.7%
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 (+ t 1.0)))
(t_2 (- t_1 (sqrt t)))
(t_3 (sqrt (+ z 1.0)))
(t_4
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- t_3 (sqrt z)))))
(if (<= t_4 2e-5)
(+ (* 0.5 (+ (sqrt (pow z -1.0)) (sqrt (pow x -1.0)))) t_2)
(if (<= t_4 2.000001)
(+
(-
(+ (sqrt (+ 1.0 x)) (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0))
(sqrt x))
t_2)
(+
2.0
(-
(+ (pow (+ t_1 (sqrt t)) -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((t + 1.0));
double t_2 = t_1 - sqrt(t);
double t_3 = sqrt((z + 1.0));
double t_4 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (t_3 - sqrt(z));
double tmp;
if (t_4 <= 2e-5) {
tmp = (0.5 * (sqrt(pow(z, -1.0)) + sqrt(pow(x, -1.0)))) + t_2;
} else if (t_4 <= 2.000001) {
tmp = ((sqrt((1.0 + x)) + pow((sqrt((1.0 + y)) + sqrt(y)), -1.0)) - sqrt(x)) + t_2;
} else {
tmp = 2.0 + ((pow((t_1 + sqrt(t)), -1.0) + t_3) - ((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) :: tmp
t_1 = sqrt((t + 1.0d0))
t_2 = t_1 - sqrt(t)
t_3 = sqrt((z + 1.0d0))
t_4 = ((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (t_3 - sqrt(z))
if (t_4 <= 2d-5) then
tmp = (0.5d0 * (sqrt((z ** (-1.0d0))) + sqrt((x ** (-1.0d0))))) + t_2
else if (t_4 <= 2.000001d0) then
tmp = ((sqrt((1.0d0 + x)) + ((sqrt((1.0d0 + y)) + sqrt(y)) ** (-1.0d0))) - sqrt(x)) + t_2
else
tmp = 2.0d0 + ((((t_1 + sqrt(t)) ** (-1.0d0)) + t_3) - ((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));
double t_2 = t_1 - Math.sqrt(t);
double t_3 = Math.sqrt((z + 1.0));
double t_4 = ((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (t_3 - Math.sqrt(z));
double tmp;
if (t_4 <= 2e-5) {
tmp = (0.5 * (Math.sqrt(Math.pow(z, -1.0)) + Math.sqrt(Math.pow(x, -1.0)))) + t_2;
} else if (t_4 <= 2.000001) {
tmp = ((Math.sqrt((1.0 + x)) + Math.pow((Math.sqrt((1.0 + y)) + Math.sqrt(y)), -1.0)) - Math.sqrt(x)) + t_2;
} else {
tmp = 2.0 + ((Math.pow((t_1 + Math.sqrt(t)), -1.0) + t_3) - ((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)) t_2 = t_1 - math.sqrt(t) t_3 = math.sqrt((z + 1.0)) t_4 = ((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (t_3 - math.sqrt(z)) tmp = 0 if t_4 <= 2e-5: tmp = (0.5 * (math.sqrt(math.pow(z, -1.0)) + math.sqrt(math.pow(x, -1.0)))) + t_2 elif t_4 <= 2.000001: tmp = ((math.sqrt((1.0 + x)) + math.pow((math.sqrt((1.0 + y)) + math.sqrt(y)), -1.0)) - math.sqrt(x)) + t_2 else: tmp = 2.0 + ((math.pow((t_1 + math.sqrt(t)), -1.0) + t_3) - ((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(t + 1.0)) t_2 = Float64(t_1 - sqrt(t)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(t_3 - sqrt(z))) tmp = 0.0 if (t_4 <= 2e-5) tmp = Float64(Float64(0.5 * Float64(sqrt((z ^ -1.0)) + sqrt((x ^ -1.0)))) + t_2); elseif (t_4 <= 2.000001) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 + x)) + (Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0)) - sqrt(x)) + t_2); else tmp = Float64(2.0 + Float64(Float64((Float64(t_1 + sqrt(t)) ^ -1.0) + t_3) - 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));
t_2 = t_1 - sqrt(t);
t_3 = sqrt((z + 1.0));
t_4 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (t_3 - sqrt(z));
tmp = 0.0;
if (t_4 <= 2e-5)
tmp = (0.5 * (sqrt((z ^ -1.0)) + sqrt((x ^ -1.0)))) + t_2;
elseif (t_4 <= 2.000001)
tmp = ((sqrt((1.0 + x)) + ((sqrt((1.0 + y)) + sqrt(y)) ^ -1.0)) - sqrt(x)) + t_2;
else
tmp = 2.0 + ((((t_1 + sqrt(t)) ^ -1.0) + t_3) - ((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[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $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] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 2e-5], N[(N[(0.5 * N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$4, 2.000001], N[(N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(2.0 + N[(N[(N[Power[N[(t$95$1 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision], -1.0], $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 := t\_1 - \sqrt{t}\\
t_3 := \sqrt{z + 1}\\
t_4 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(t\_3 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{z}^{-1}} + \sqrt{{x}^{-1}}\right) + t\_2\\
\mathbf{elif}\;t\_4 \leq 2.000001:\\
\;\;\;\;\left(\left(\sqrt{1 + x} + {\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1}\right) - \sqrt{x}\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\left({\left(t\_1 + \sqrt{t}\right)}^{-1} + 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))) < 2.00000000000000016e-5Initial program 63.0%
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.f6462.3
Applied rewrites62.3%
Taylor expanded in y around inf
Applied rewrites63.0%
Taylor expanded in x around inf
Applied rewrites77.6%
if 2.00000000000000016e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000010000000001Initial program 97.1%
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-+.f6497.3
Applied rewrites97.3%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6439.6
Applied rewrites39.6%
if 2.0000010000000001 < (+.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 98.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites93.5%
Taylor expanded in y around 0
Applied rewrites90.4%
Final simplification49.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_3 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) t_2)))
(if (<= t_4 0.2)
(+ (* 0.5 (+ (sqrt (pow z -1.0)) (sqrt (pow x -1.0)))) t_1)
(if (<= t_4 2.999996)
(+ t_3 (+ (sqrt (+ 1.0 y)) (- t_2 (+ (sqrt y) (sqrt x)))))
(+ (+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- 1.0 (sqrt z))) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((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 tmp;
if (t_4 <= 0.2) {
tmp = (0.5 * (sqrt(pow(z, -1.0)) + sqrt(pow(x, -1.0)))) + t_1;
} else if (t_4 <= 2.999996) {
tmp = t_3 + (sqrt((1.0 + y)) + (t_2 - (sqrt(y) + sqrt(x))));
} else {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z))) + t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((t + 1.0d0)) - sqrt(t)
t_2 = sqrt((z + 1.0d0)) - sqrt(z)
t_3 = sqrt((x + 1.0d0))
t_4 = ((t_3 - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + t_2
if (t_4 <= 0.2d0) then
tmp = (0.5d0 * (sqrt((z ** (-1.0d0))) + sqrt((x ** (-1.0d0))))) + t_1
else if (t_4 <= 2.999996d0) then
tmp = t_3 + (sqrt((1.0d0 + y)) + (t_2 - (sqrt(y) + sqrt(x))))
else
tmp = (((1.0d0 - sqrt(x)) + (1.0d0 - sqrt(y))) + (1.0d0 - sqrt(z))) + t_1
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_2 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_3 = Math.sqrt((x + 1.0));
double t_4 = ((t_3 - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + t_2;
double tmp;
if (t_4 <= 0.2) {
tmp = (0.5 * (Math.sqrt(Math.pow(z, -1.0)) + Math.sqrt(Math.pow(x, -1.0)))) + t_1;
} else if (t_4 <= 2.999996) {
tmp = t_3 + (Math.sqrt((1.0 + y)) + (t_2 - (Math.sqrt(y) + Math.sqrt(x))));
} else {
tmp = (((1.0 - Math.sqrt(x)) + (1.0 - Math.sqrt(y))) + (1.0 - Math.sqrt(z))) + t_1;
}
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)) - math.sqrt(z) t_3 = math.sqrt((x + 1.0)) t_4 = ((t_3 - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + t_2 tmp = 0 if t_4 <= 0.2: tmp = (0.5 * (math.sqrt(math.pow(z, -1.0)) + math.sqrt(math.pow(x, -1.0)))) + t_1 elif t_4 <= 2.999996: tmp = t_3 + (math.sqrt((1.0 + y)) + (t_2 - (math.sqrt(y) + math.sqrt(x)))) else: tmp = (((1.0 - math.sqrt(x)) + (1.0 - math.sqrt(y))) + (1.0 - math.sqrt(z))) + t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = 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) tmp = 0.0 if (t_4 <= 0.2) tmp = Float64(Float64(0.5 * Float64(sqrt((z ^ -1.0)) + sqrt((x ^ -1.0)))) + t_1); elseif (t_4 <= 2.999996) tmp = Float64(t_3 + Float64(sqrt(Float64(1.0 + y)) + Float64(t_2 - Float64(sqrt(y) + sqrt(x))))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(z))) + t_1); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0)) - sqrt(t);
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;
tmp = 0.0;
if (t_4 <= 0.2)
tmp = (0.5 * (sqrt((z ^ -1.0)) + sqrt((x ^ -1.0)))) + t_1;
elseif (t_4 <= 2.999996)
tmp = t_3 + (sqrt((1.0 + y)) + (t_2 - (sqrt(y) + sqrt(x))));
else
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z))) + t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(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]}, If[LessEqual[t$95$4, 0.2], N[(N[(0.5 * N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$4, 2.999996], N[(t$95$3 + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(t$95$2 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{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\\
\mathbf{if}\;t\_4 \leq 0.2:\\
\;\;\;\;0.5 \cdot \left(\sqrt{{z}^{-1}} + \sqrt{{x}^{-1}}\right) + t\_1\\
\mathbf{elif}\;t\_4 \leq 2.999996:\\
\;\;\;\;t\_3 + \left(\sqrt{1 + y} + \left(t\_2 - \left(\sqrt{y} + \sqrt{x}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(1 - \sqrt{z}\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.20000000000000001Initial program 66.1%
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.f6456.7
Applied rewrites56.7%
Taylor expanded in y around inf
Applied rewrites62.4%
Taylor expanded in x around inf
Applied rewrites73.5%
if 0.20000000000000001 < (+.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))) < 2.99999599999999988Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.9
Applied rewrites5.9%
Applied rewrites24.3%
if 2.99999599999999988 < (+.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 x around 0
lower--.f64N/A
lower-sqrt.f6499.0
Applied rewrites99.0%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6499.0
Applied rewrites99.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6499.0
Applied rewrites99.0%
Final simplification37.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
t_1))
(t_3 (sqrt (+ 1.0 y))))
(if (<= t_2 1.0)
(+ (- (fma 0.5 x (- 1.0 (/ -0.5 (sqrt z)))) (sqrt x)) t_1)
(if (<= t_2 2.000001)
(- (+ (sqrt (+ 1.0 x)) t_3) (+ (sqrt y) (sqrt x)))
(-
(+ (+ t_3 1.0) (sqrt (+ 1.0 z)))
(+ (+ (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((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + t_1;
double t_3 = sqrt((1.0 + y));
double tmp;
if (t_2 <= 1.0) {
tmp = (fma(0.5, x, (1.0 - (-0.5 / sqrt(z)))) - sqrt(x)) + t_1;
} else if (t_2 <= 2.000001) {
tmp = (sqrt((1.0 + x)) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_3 + 1.0) + sqrt((1.0 + z))) - ((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 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = 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))) + t_1) t_3 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_2 <= 1.0) tmp = Float64(Float64(fma(0.5, x, Float64(1.0 - Float64(-0.5 / sqrt(z)))) - sqrt(x)) + t_1); elseif (t_2 <= 2.000001) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_3 + 1.0) + sqrt(Float64(1.0 + z))) - 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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = 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] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 1.0], N[(N[(N[(0.5 * x + N[(1.0 - N[(-0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$2, 2.000001], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$3 + 1.0), $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \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) + t\_1\\
t_3 := \sqrt{1 + y}\\
\mathbf{if}\;t\_2 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, 1 - \frac{-0.5}{\sqrt{z}}\right) - \sqrt{x}\right) + t\_1\\
\mathbf{elif}\;t\_2 \leq 2.000001:\\
\;\;\;\;\left(\sqrt{1 + x} + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_3 + 1\right) + \sqrt{1 + z}\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\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 86.8%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.1
Applied rewrites26.1%
Taylor expanded in y around inf
Applied rewrites42.8%
Taylor expanded in x around 0
Applied rewrites23.7%
Applied rewrites23.7%
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))) < 2.0000010000000001Initial program 96.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.6
Applied rewrites3.6%
Taylor expanded in z around inf
Applied rewrites17.2%
if 2.0000010000000001 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 96.9%
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.f6426.6
Applied rewrites26.6%
Taylor expanded in x around 0
Applied rewrites23.7%
Final simplification21.2%
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 (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z))))
(t_2 (sqrt (+ 1.0 y))))
(if (<= t_1 1.0)
(+
(- 1.0 (fma -0.5 (sqrt (pow z -1.0)) (sqrt x)))
(- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_1 2.000001)
(- (+ (sqrt (+ 1.0 x)) t_2) (+ (sqrt y) (sqrt x)))
(-
(+ (+ t_2 1.0) (sqrt (+ 1.0 z)))
(+ (+ (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((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z));
double t_2 = sqrt((1.0 + y));
double tmp;
if (t_1 <= 1.0) {
tmp = (1.0 - fma(-0.5, sqrt(pow(z, -1.0)), sqrt(x))) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_1 <= 2.000001) {
tmp = (sqrt((1.0 + x)) + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_2 + 1.0) + sqrt((1.0 + z))) - ((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 = 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))) t_2 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_1 <= 1.0) tmp = Float64(Float64(1.0 - fma(-0.5, sqrt((z ^ -1.0)), sqrt(x))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_1 <= 2.000001) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_2 + 1.0) + sqrt(Float64(1.0 + z))) - 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[(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]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$1, 1.0], N[(N[(1.0 - N[(-0.5 * N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 2.000001], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$2 + 1.0), $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\\
t_2 := \sqrt{1 + y}\\
\mathbf{if}\;t\_1 \leq 1:\\
\;\;\;\;\left(1 - \mathsf{fma}\left(-0.5, \sqrt{{z}^{-1}}, \sqrt{x}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_1 \leq 2.000001:\\
\;\;\;\;\left(\sqrt{1 + x} + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + 1\right) + \sqrt{1 + z}\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 91.4%
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.f6423.4
Applied rewrites23.4%
Taylor expanded in y around inf
Applied rewrites43.6%
Taylor expanded in x around 0
Applied rewrites25.9%
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))) < 2.0000010000000001Initial program 96.2%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.9
Applied rewrites4.9%
Taylor expanded in z around inf
Applied rewrites18.8%
if 2.0000010000000001 < (+.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 98.3%
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.f6467.1
Applied rewrites67.1%
Taylor expanded in x around 0
Applied rewrites61.5%
Final simplification27.0%
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 (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z))))
(t_2 (sqrt (+ 1.0 y))))
(if (<= t_1 1.0)
(+
(- 1.0 (fma -0.5 (sqrt (pow z -1.0)) (sqrt x)))
(- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_1 2.000001)
(- (+ (sqrt (+ 1.0 x)) t_2) (+ (sqrt y) (sqrt x)))
(+
1.0
(- (+ t_2 (sqrt (+ 1.0 z))) (+ (+ (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((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z));
double t_2 = sqrt((1.0 + y));
double tmp;
if (t_1 <= 1.0) {
tmp = (1.0 - fma(-0.5, sqrt(pow(z, -1.0)), sqrt(x))) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_1 <= 2.000001) {
tmp = (sqrt((1.0 + x)) + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = 1.0 + ((t_2 + sqrt((1.0 + z))) - ((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 = 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))) t_2 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_1 <= 1.0) tmp = Float64(Float64(1.0 - fma(-0.5, sqrt((z ^ -1.0)), sqrt(x))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_1 <= 2.000001) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(1.0 + Float64(Float64(t_2 + sqrt(Float64(1.0 + z))) - 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[(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]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$1, 1.0], N[(N[(1.0 - N[(-0.5 * N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 2.000001], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $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 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\\
t_2 := \sqrt{1 + y}\\
\mathbf{if}\;t\_1 \leq 1:\\
\;\;\;\;\left(1 - \mathsf{fma}\left(-0.5, \sqrt{{z}^{-1}}, \sqrt{x}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_1 \leq 2.000001:\\
\;\;\;\;\left(\sqrt{1 + x} + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 + \sqrt{1 + z}\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))) < 1Initial program 91.4%
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.f6423.4
Applied rewrites23.4%
Taylor expanded in y around inf
Applied rewrites43.6%
Taylor expanded in x around 0
Applied rewrites25.9%
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))) < 2.0000010000000001Initial program 96.2%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.9
Applied rewrites4.9%
Taylor expanded in z around inf
Applied rewrites18.8%
if 2.0000010000000001 < (+.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 98.3%
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.f6467.1
Applied rewrites67.1%
Taylor expanded in x around 0
Applied rewrites61.5%
Final simplification27.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<=
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
1.0)
(+
(- 1.0 (fma -0.5 (sqrt (pow z -1.0)) (sqrt x)))
(- (sqrt (+ t 1.0)) (sqrt t)))
(- (+ (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) {
double tmp;
if ((((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) <= 1.0) {
tmp = (1.0 - fma(-0.5, sqrt(pow(z, -1.0)), sqrt(x))) + (sqrt((t + 1.0)) - sqrt(t));
} else {
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (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))) <= 1.0) tmp = Float64(Float64(1.0 - fma(-0.5, sqrt((z ^ -1.0)), sqrt(x))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); else tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(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_] := If[LessEqual[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], 1.0], N[(N[(1.0 - N[(-0.5 * N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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])\\
\\
\begin{array}{l}
\mathbf{if}\;\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right) \leq 1:\\
\;\;\;\;\left(1 - \mathsf{fma}\left(-0.5, \sqrt{{z}^{-1}}, \sqrt{x}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 91.4%
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.f6423.4
Applied rewrites23.4%
Taylor expanded in y around inf
Applied rewrites43.6%
Taylor expanded in x around 0
Applied rewrites25.9%
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))) Initial program 96.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.3
Applied rewrites18.3%
Taylor expanded in z around inf
Applied rewrites18.9%
Final simplification22.0%
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 (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= (- (sqrt (+ x 1.0)) (sqrt x)) 0.2)
(+ (+ (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0) t_1) t_2)
(+
(+
(-
(+ (fma 0.5 x 1.0) (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0))
(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 tmp;
if ((sqrt((x + 1.0)) - sqrt(x)) <= 0.2) {
tmp = (pow((sqrt((1.0 + x)) + sqrt(x)), -1.0) + t_1) + t_2;
} else {
tmp = (((fma(0.5, x, 1.0) + pow((sqrt((1.0 + y)) + sqrt(y)), -1.0)) - 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)) tmp = 0.0 if (Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) <= 0.2) tmp = Float64(Float64((Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0) + t_1) + t_2); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + (Float64(sqrt(Float64(1.0 + y)) + sqrt(y)) ^ -1.0)) - 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]}, If[LessEqual[N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.2], N[(N[(N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + N[Power[N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $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}\\
\mathbf{if}\;\sqrt{x + 1} - \sqrt{x} \leq 0.2:\\
\;\;\;\;\left({\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1} + t\_1\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + {\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1}\right) - \sqrt{x}\right) + t\_1\right) + t\_2\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.20000000000000001Initial program 91.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f6492.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6492.5
Applied rewrites92.5%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.5
Applied rewrites41.5%
if 0.20000000000000001 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.6%
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-+.f6497.8
Applied rewrites97.8%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6497.5
Applied rewrites97.5%
Final simplification68.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (sqrt (+ 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 94.3%
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.f6411.7
Applied rewrites11.7%
Taylor expanded in z around inf
Applied rewrites13.0%
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)) (- (fma 0.5 t 1.0) (sqrt t))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x) + (fma(0.5, t, 1.0) - sqrt(t));
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(x)) + Float64(fma(0.5, 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[Sqrt[x], $MachinePrecision]) + N[(N[(0.5 * t + 1.0), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{x}\right) + \left(\mathsf{fma}\left(0.5, t, 1\right) - \sqrt{t}\right)
\end{array}
Initial program 94.3%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.3
Applied rewrites25.3%
Taylor expanded in x around 0
Applied rewrites27.1%
Taylor expanded in x around inf
Applied rewrites5.5%
Taylor expanded in t around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f646.8
Applied rewrites6.8%
Final simplification6.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt t) (sqrt t)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt(t) - sqrt(t);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt(t) - sqrt(t)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(t) - Math.sqrt(t);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(t) - math.sqrt(t)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(t) - sqrt(t)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt(t) - sqrt(t);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[t], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{t} - \sqrt{t}
\end{array}
Initial program 94.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6447.1
Applied rewrites47.1%
lift-+.f64N/A
lift--.f64N/A
associate-+r-N/A
lower--.f64N/A
Applied rewrites10.2%
Taylor expanded in t around inf
lower-sqrt.f643.1
Applied rewrites3.1%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024320
(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))))