
(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 28 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ t 1.0)))
(t_4 (- t_3 (sqrt t)))
(t_5
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_1)
t_4))
(t_6 (sqrt (pow z -1.0))))
(if (<= t_5 1e-7)
(+
(+ (* 0.5 (+ (sqrt (pow x -1.0)) (sqrt (pow y -1.0)))) (* t_6 0.5))
t_4)
(if (<= t_5 2.0001)
(+
(-
(+ (fma t_6 0.5 (pow (+ t_2 (sqrt y)) -1.0)) (sqrt (+ 1.0 x)))
(sqrt x))
t_4)
(+
(+ (- (+ t_2 (- 1.0 (sqrt x))) (sqrt y)) t_1)
(/ (- (+ t 1.0) t) (+ (sqrt t) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((t + 1.0));
double t_4 = t_3 - sqrt(t);
double t_5 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_4;
double t_6 = sqrt(pow(z, -1.0));
double tmp;
if (t_5 <= 1e-7) {
tmp = ((0.5 * (sqrt(pow(x, -1.0)) + sqrt(pow(y, -1.0)))) + (t_6 * 0.5)) + t_4;
} else if (t_5 <= 2.0001) {
tmp = ((fma(t_6, 0.5, pow((t_2 + sqrt(y)), -1.0)) + sqrt((1.0 + x))) - sqrt(x)) + t_4;
} else {
tmp = (((t_2 + (1.0 - sqrt(x))) - sqrt(y)) + t_1) + (((t + 1.0) - t) / (sqrt(t) + t_3));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(t + 1.0)) t_4 = Float64(t_3 - sqrt(t)) t_5 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) + t_4) t_6 = sqrt((z ^ -1.0)) tmp = 0.0 if (t_5 <= 1e-7) tmp = Float64(Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + sqrt((y ^ -1.0)))) + Float64(t_6 * 0.5)) + t_4); elseif (t_5 <= 2.0001) tmp = Float64(Float64(Float64(fma(t_6, 0.5, (Float64(t_2 + sqrt(y)) ^ -1.0)) + sqrt(Float64(1.0 + x))) - sqrt(x)) + t_4); else tmp = Float64(Float64(Float64(Float64(t_2 + Float64(1.0 - sqrt(x))) - sqrt(y)) + t_1) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_3))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$5, 1e-7], N[(N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$6 * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(N[(N[(N[(t$95$6 * 0.5 + N[Power[N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(N[(t$95$2 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{t + 1}\\
t_4 := t\_3 - \sqrt{t}\\
t_5 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\right) + t\_4\\
t_6 := \sqrt{{z}^{-1}}\\
\mathbf{if}\;t\_5 \leq 10^{-7}:\\
\;\;\;\;\left(0.5 \cdot \left(\sqrt{{x}^{-1}} + \sqrt{{y}^{-1}}\right) + t\_6 \cdot 0.5\right) + t\_4\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(t\_6, 0.5, {\left(t\_2 + \sqrt{y}\right)}^{-1}\right) + \sqrt{1 + x}\right) - \sqrt{x}\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_2 + \left(1 - \sqrt{x}\right)\right) - \sqrt{y}\right) + t\_1\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_3}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.9999999999999995e-8Initial program 5.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites8.8%
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.f6458.7
Applied rewrites58.7%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6474.6
Applied rewrites74.6%
Taylor expanded in y around inf
Applied rewrites74.7%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial program 96.1%
lift--.f64N/A
flip--N/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
div-subN/A
lower--.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f6496.2
Applied rewrites96.2%
Taylor expanded in z around inf
lower--.f64N/A
Applied rewrites42.4%
if 2.00010000000000021 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.9%
Taylor expanded in x around 0
associate--r+N/A
lower--.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6459.2
Applied rewrites59.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6459.7
Applied rewrites59.7%
Final simplification50.0%
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 (pow z -1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_1)
t_3))
(t_5 (+ (sqrt y) (sqrt x))))
(if (<= t_4 1e-7)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) (* t_2 0.5)) t_3)
(if (<= t_4 1.0)
(+ t_3 (+ (/ 0.5 (sqrt z)) (- (fma 0.5 x 1.0) (sqrt x))))
(if (<= t_4 2.0001)
(- (+ (fma t_2 0.5 (sqrt (+ 1.0 y))) (sqrt (+ 1.0 x))) t_5)
(+ (+ (- (fma 0.5 y 2.0) t_5) t_1) t_3))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt(pow(z, -1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_3;
double t_5 = sqrt(y) + sqrt(x);
double tmp;
if (t_4 <= 1e-7) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + (t_2 * 0.5)) + t_3;
} else if (t_4 <= 1.0) {
tmp = t_3 + ((0.5 / sqrt(z)) + (fma(0.5, x, 1.0) - sqrt(x)));
} else if (t_4 <= 2.0001) {
tmp = (fma(t_2, 0.5, sqrt((1.0 + y))) + sqrt((1.0 + x))) - t_5;
} else {
tmp = ((fma(0.5, y, 2.0) - t_5) + t_1) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt((z ^ -1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) + t_3) t_5 = Float64(sqrt(y) + sqrt(x)) tmp = 0.0 if (t_4 <= 1e-7) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + Float64(t_2 * 0.5)) + t_3); elseif (t_4 <= 1.0) tmp = Float64(t_3 + Float64(Float64(0.5 / sqrt(z)) + Float64(fma(0.5, x, 1.0) - sqrt(x)))); elseif (t_4 <= 2.0001) tmp = Float64(Float64(fma(t_2, 0.5, sqrt(Float64(1.0 + y))) + sqrt(Float64(1.0 + x))) - t_5); else tmp = Float64(Float64(Float64(fma(0.5, y, 2.0) - t_5) + t_1) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1e-7], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 1.0], N[(t$95$3 + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * x + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(N[(N[(t$95$2 * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision], N[(N[(N[(N[(0.5 * y + 2.0), $MachinePrecision] - t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{{z}^{-1}}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\right) + t\_3\\
t_5 := \sqrt{y} + \sqrt{x}\\
\mathbf{if}\;t\_4 \leq 10^{-7}:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_2 \cdot 0.5\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 1:\\
\;\;\;\;t\_3 + \left(\frac{0.5}{\sqrt{z}} + \left(\mathsf{fma}\left(0.5, x, 1\right) - \sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_2, 0.5, \sqrt{1 + y}\right) + \sqrt{1 + x}\right) - t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, y, 2\right) - t\_5\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.9999999999999995e-8Initial program 5.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites8.8%
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.f6458.7
Applied rewrites58.7%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6474.6
Applied rewrites74.6%
Taylor expanded in x around 0
Applied rewrites58.7%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 96.0%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6478.0
Applied rewrites78.0%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6449.7
Applied rewrites49.7%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6449.7
lift-+.f64N/A
+-commutativeN/A
Applied rewrites49.7%
Taylor expanded in x around 0
Applied rewrites22.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial program 96.2%
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.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites17.9%
if 2.00010000000000021 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.9%
Taylor expanded in x around 0
associate--r+N/A
lower--.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6459.2
Applied rewrites59.2%
Taylor expanded in y around 0
Applied rewrites52.2%
Final simplification32.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ t 1.0)))
(t_3 (- t_2 (sqrt t)))
(t_4
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_1)
t_3))
(t_5 (sqrt (+ 1.0 y))))
(if (<= t_4 1e-7)
(+
(+
(* 0.5 (+ (sqrt (pow x -1.0)) (sqrt (pow y -1.0))))
(* (sqrt (pow z -1.0)) 0.5))
t_3)
(if (<= t_4 1.005)
(+ (- (+ (sqrt (+ 1.0 x)) (pow (+ t_5 (sqrt y)) -1.0)) (sqrt x)) t_3)
(+
(+ (- (+ t_5 (- 1.0 (sqrt x))) (sqrt y)) t_1)
(/ (- (+ t 1.0) t) (+ (sqrt t) 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));
double t_3 = t_2 - sqrt(t);
double t_4 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_3;
double t_5 = sqrt((1.0 + y));
double tmp;
if (t_4 <= 1e-7) {
tmp = ((0.5 * (sqrt(pow(x, -1.0)) + sqrt(pow(y, -1.0)))) + (sqrt(pow(z, -1.0)) * 0.5)) + t_3;
} else if (t_4 <= 1.005) {
tmp = ((sqrt((1.0 + x)) + pow((t_5 + sqrt(y)), -1.0)) - sqrt(x)) + t_3;
} else {
tmp = (((t_5 + (1.0 - sqrt(x))) - sqrt(y)) + t_1) + (((t + 1.0) - t) / (sqrt(t) + t_2));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((t + 1.0d0))
t_3 = t_2 - sqrt(t)
t_4 = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + t_1) + t_3
t_5 = sqrt((1.0d0 + y))
if (t_4 <= 1d-7) then
tmp = ((0.5d0 * (sqrt((x ** (-1.0d0))) + sqrt((y ** (-1.0d0))))) + (sqrt((z ** (-1.0d0))) * 0.5d0)) + t_3
else if (t_4 <= 1.005d0) then
tmp = ((sqrt((1.0d0 + x)) + ((t_5 + sqrt(y)) ** (-1.0d0))) - sqrt(x)) + t_3
else
tmp = (((t_5 + (1.0d0 - sqrt(x))) - sqrt(y)) + t_1) + (((t + 1.0d0) - t) / (sqrt(t) + t_2))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((t + 1.0));
double t_3 = t_2 - Math.sqrt(t);
double t_4 = (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + t_1) + t_3;
double t_5 = Math.sqrt((1.0 + y));
double tmp;
if (t_4 <= 1e-7) {
tmp = ((0.5 * (Math.sqrt(Math.pow(x, -1.0)) + Math.sqrt(Math.pow(y, -1.0)))) + (Math.sqrt(Math.pow(z, -1.0)) * 0.5)) + t_3;
} else if (t_4 <= 1.005) {
tmp = ((Math.sqrt((1.0 + x)) + Math.pow((t_5 + Math.sqrt(y)), -1.0)) - Math.sqrt(x)) + t_3;
} else {
tmp = (((t_5 + (1.0 - Math.sqrt(x))) - Math.sqrt(y)) + t_1) + (((t + 1.0) - t) / (Math.sqrt(t) + t_2));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((t + 1.0)) t_3 = t_2 - math.sqrt(t) t_4 = (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + t_1) + t_3 t_5 = math.sqrt((1.0 + y)) tmp = 0 if t_4 <= 1e-7: tmp = ((0.5 * (math.sqrt(math.pow(x, -1.0)) + math.sqrt(math.pow(y, -1.0)))) + (math.sqrt(math.pow(z, -1.0)) * 0.5)) + t_3 elif t_4 <= 1.005: tmp = ((math.sqrt((1.0 + x)) + math.pow((t_5 + math.sqrt(y)), -1.0)) - math.sqrt(x)) + t_3 else: tmp = (((t_5 + (1.0 - math.sqrt(x))) - math.sqrt(y)) + t_1) + (((t + 1.0) - t) / (math.sqrt(t) + 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 = sqrt(Float64(t + 1.0)) t_3 = Float64(t_2 - sqrt(t)) t_4 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) + t_3) t_5 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_4 <= 1e-7) tmp = Float64(Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + sqrt((y ^ -1.0)))) + Float64(sqrt((z ^ -1.0)) * 0.5)) + t_3); elseif (t_4 <= 1.005) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 + x)) + (Float64(t_5 + sqrt(y)) ^ -1.0)) - sqrt(x)) + t_3); else tmp = Float64(Float64(Float64(Float64(t_5 + Float64(1.0 - sqrt(x))) - sqrt(y)) + t_1) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_2))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((t + 1.0));
t_3 = t_2 - sqrt(t);
t_4 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_3;
t_5 = sqrt((1.0 + y));
tmp = 0.0;
if (t_4 <= 1e-7)
tmp = ((0.5 * (sqrt((x ^ -1.0)) + sqrt((y ^ -1.0)))) + (sqrt((z ^ -1.0)) * 0.5)) + t_3;
elseif (t_4 <= 1.005)
tmp = ((sqrt((1.0 + x)) + ((t_5 + sqrt(y)) ^ -1.0)) - sqrt(x)) + t_3;
else
tmp = (((t_5 + (1.0 - sqrt(x))) - sqrt(y)) + t_1) + (((t + 1.0) - t) / (sqrt(t) + t_2));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 1e-7], N[(N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 1.005], N[(N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Power[N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(t$95$5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $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}\\
t_3 := t\_2 - \sqrt{t}\\
t_4 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\right) + t\_3\\
t_5 := \sqrt{1 + y}\\
\mathbf{if}\;t\_4 \leq 10^{-7}:\\
\;\;\;\;\left(0.5 \cdot \left(\sqrt{{x}^{-1}} + \sqrt{{y}^{-1}}\right) + \sqrt{{z}^{-1}} \cdot 0.5\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 1.005:\\
\;\;\;\;\left(\left(\sqrt{1 + x} + {\left(t\_5 + \sqrt{y}\right)}^{-1}\right) - \sqrt{x}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_5 + \left(1 - \sqrt{x}\right)\right) - \sqrt{y}\right) + t\_1\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_2}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.9999999999999995e-8Initial program 5.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites8.8%
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.f6458.7
Applied rewrites58.7%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6474.6
Applied rewrites74.6%
Taylor expanded in y around inf
Applied rewrites74.7%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.0049999999999999Initial program 93.2%
lift--.f64N/A
flip--N/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
div-subN/A
lower--.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f6493.3
Applied rewrites93.3%
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.f6446.5
Applied rewrites46.5%
if 1.0049999999999999 < (+.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 97.0%
Taylor expanded in x around 0
associate--r+N/A
lower--.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6441.4
Applied rewrites41.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6441.7
Applied rewrites41.7%
Final simplification45.0%
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 (+ t 1.0)) (sqrt t))))
(if (<= t_1 1e-7)
(+
(+
(* 0.5 (+ (sqrt (pow x -1.0)) (sqrt (pow y -1.0))))
(* (sqrt (pow z -1.0)) 0.5))
t_2)
(+ 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((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_1 <= 1e-7) {
tmp = ((0.5 * (sqrt(pow(x, -1.0)) + sqrt(pow(y, -1.0)))) + (sqrt(pow(z, -1.0)) * 0.5)) + t_2;
} else {
tmp = t_1 + t_2;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = ((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))
t_2 = sqrt((t + 1.0d0)) - sqrt(t)
if (t_1 <= 1d-7) then
tmp = ((0.5d0 * (sqrt((x ** (-1.0d0))) + sqrt((y ** (-1.0d0))))) + (sqrt((z ** (-1.0d0))) * 0.5d0)) + t_2
else
tmp = t_1 + t_2
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = ((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z));
double t_2 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (t_1 <= 1e-7) {
tmp = ((0.5 * (Math.sqrt(Math.pow(x, -1.0)) + Math.sqrt(Math.pow(y, -1.0)))) + (Math.sqrt(Math.pow(z, -1.0)) * 0.5)) + t_2;
} else {
tmp = t_1 + t_2;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = ((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_2 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if t_1 <= 1e-7: tmp = ((0.5 * (math.sqrt(math.pow(x, -1.0)) + math.sqrt(math.pow(y, -1.0)))) + (math.sqrt(math.pow(z, -1.0)) * 0.5)) + t_2 else: tmp = t_1 + t_2 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 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_1 <= 1e-7) tmp = Float64(Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + sqrt((y ^ -1.0)))) + Float64(sqrt((z ^ -1.0)) * 0.5)) + t_2); else tmp = Float64(t_1 + t_2); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z));
t_2 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (t_1 <= 1e-7)
tmp = ((0.5 * (sqrt((x ^ -1.0)) + sqrt((y ^ -1.0)))) + (sqrt((z ^ -1.0)) * 0.5)) + t_2;
else
tmp = t_1 + t_2;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 1e-7], N[(N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(t$95$1 + t$95$2), $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{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_1 \leq 10^{-7}:\\
\;\;\;\;\left(0.5 \cdot \left(\sqrt{{x}^{-1}} + \sqrt{{y}^{-1}}\right) + \sqrt{{z}^{-1}} \cdot 0.5\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;t\_1 + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 9.9999999999999995e-8Initial program 44.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites46.8%
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.f6476.2
Applied rewrites76.2%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6485.5
Applied rewrites85.5%
Taylor expanded in y around inf
Applied rewrites85.6%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.0%
Final simplification94.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y))))
(if (<= (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_3) t_1) 0.5)
(+
(+
(* 0.5 (+ (sqrt (pow x -1.0)) (sqrt (pow y -1.0))))
(* (sqrt (pow z -1.0)) 0.5))
t_2)
(+ (+ (+ (fma 0.5 x (- 1.0 (sqrt x))) t_3) t_1) t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double tmp;
if ((((sqrt((x + 1.0)) - sqrt(x)) + t_3) + t_1) <= 0.5) {
tmp = ((0.5 * (sqrt(pow(x, -1.0)) + sqrt(pow(y, -1.0)))) + (sqrt(pow(z, -1.0)) * 0.5)) + t_2;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + t_3) + t_1) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) tmp = 0.0 if (Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_3) + t_1) <= 0.5) tmp = Float64(Float64(Float64(0.5 * Float64(sqrt((x ^ -1.0)) + sqrt((y ^ -1.0)))) + Float64(sqrt((z ^ -1.0)) * 0.5)) + t_2); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_3) + t_1) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision], 0.5], N[(N[(N[(0.5 * N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
\mathbf{if}\;\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + t\_3\right) + t\_1 \leq 0.5:\\
\;\;\;\;\left(0.5 \cdot \left(\sqrt{{x}^{-1}} + \sqrt{{y}^{-1}}\right) + \sqrt{{z}^{-1}} \cdot 0.5\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_3\right) + t\_1\right) + t\_2\\
\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))) < 0.5Initial program 51.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites54.5%
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.f6477.5
Applied rewrites77.5%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6482.9
Applied rewrites82.9%
Taylor expanded in y around inf
Applied rewrites81.9%
if 0.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.3%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6452.4
Applied rewrites52.4%
Final simplification56.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (pow z -1.0)))
(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 (+ t 1.0)) (sqrt t))))
(if (<= t_3 1e-7)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) (* t_1 0.5)) t_4)
(if (<= t_3 1.0)
(+ t_4 (+ (/ 0.5 (sqrt z)) (- (fma 0.5 x 1.0) (sqrt x))))
(if (<= t_3 2.0001)
(-
(+ (fma t_1 0.5 (sqrt (+ 1.0 y))) (sqrt (+ 1.0 x)))
(+ (sqrt y) (sqrt x)))
(+ (+ (- (- 2.0 (sqrt x)) (sqrt y)) t_2) t_4))))))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((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((t + 1.0)) - sqrt(t);
double tmp;
if (t_3 <= 1e-7) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + (t_1 * 0.5)) + t_4;
} else if (t_3 <= 1.0) {
tmp = t_4 + ((0.5 / sqrt(z)) + (fma(0.5, x, 1.0) - sqrt(x)));
} else if (t_3 <= 2.0001) {
tmp = (fma(t_1, 0.5, sqrt((1.0 + y))) + sqrt((1.0 + x))) - (sqrt(y) + sqrt(x));
} else {
tmp = (((2.0 - sqrt(x)) - sqrt(y)) + t_2) + t_4;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt((z ^ -1.0)) t_2 = Float64(sqrt(Float64(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 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_3 <= 1e-7) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + Float64(t_1 * 0.5)) + t_4); elseif (t_3 <= 1.0) tmp = Float64(t_4 + Float64(Float64(0.5 / sqrt(z)) + Float64(fma(0.5, x, 1.0) - sqrt(x)))); elseif (t_3 <= 2.0001) tmp = Float64(Float64(fma(t_1, 0.5, sqrt(Float64(1.0 + y))) + sqrt(Float64(1.0 + x))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(2.0 - sqrt(x)) - sqrt(y)) + t_2) + t_4); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 1e-7], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(t$95$1 * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$3, 1.0], N[(t$95$4 + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * x + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 2.0001], N[(N[(N[(t$95$1 * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(2.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$4), $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{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{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_3 \leq 10^{-7}:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + t\_1 \cdot 0.5\right) + t\_4\\
\mathbf{elif}\;t\_3 \leq 1:\\
\;\;\;\;t\_4 + \left(\frac{0.5}{\sqrt{z}} + \left(\mathsf{fma}\left(0.5, x, 1\right) - \sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_3 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_1, 0.5, \sqrt{1 + y}\right) + \sqrt{1 + x}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(2 - \sqrt{x}\right) - \sqrt{y}\right) + t\_2\right) + t\_4\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 9.9999999999999995e-8Initial program 44.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites46.8%
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.f6476.2
Applied rewrites76.2%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6485.5
Applied rewrites85.5%
Taylor expanded in x around 0
Applied rewrites76.5%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 96.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6469.8
Applied rewrites69.8%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6436.2
Applied rewrites36.2%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6436.2
lift-+.f64N/A
+-commutativeN/A
Applied rewrites36.2%
Taylor expanded in x around 0
Applied rewrites29.2%
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))) < 2.00010000000000021Initial program 94.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.8
Applied rewrites5.8%
Taylor expanded in z around inf
Applied rewrites22.7%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.1%
Taylor expanded in x around 0
associate--r+N/A
lower--.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6490.6
Applied rewrites90.6%
Taylor expanded in y around 0
Applied rewrites89.8%
Final simplification40.7%
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 (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_1)
t_2)))
(if (<= t_3 1e-7)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) (* (sqrt (pow z -1.0)) 0.5)) t_2)
(if (<= t_3 1.9995)
(+
(-
(+ (sqrt (+ 1.0 x)) (pow (+ (sqrt (+ 1.0 y)) (sqrt y)) -1.0))
(sqrt x))
t_2)
(+ (+ (- (fma 0.5 y 2.0) (+ (sqrt y) (sqrt x))) t_1) t_2)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_2;
double tmp;
if (t_3 <= 1e-7) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + (sqrt(pow(z, -1.0)) * 0.5)) + t_2;
} else if (t_3 <= 1.9995) {
tmp = ((sqrt((1.0 + x)) + pow((sqrt((1.0 + y)) + sqrt(y)), -1.0)) - sqrt(x)) + t_2;
} else {
tmp = ((fma(0.5, y, 2.0) - (sqrt(y) + sqrt(x))) + t_1) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) + t_2) tmp = 0.0 if (t_3 <= 1e-7) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + Float64(sqrt((z ^ -1.0)) * 0.5)) + t_2); elseif (t_3 <= 1.9995) 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(Float64(Float64(fma(0.5, y, 2.0) - Float64(sqrt(y) + sqrt(x))) + t_1) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(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$1), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$3, 1e-7], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$3, 1.9995], 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[(N[(N[(N[(0.5 * y + 2.0), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\right) + t\_2\\
\mathbf{if}\;t\_3 \leq 10^{-7}:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + \sqrt{{z}^{-1}} \cdot 0.5\right) + t\_2\\
\mathbf{elif}\;t\_3 \leq 1.9995:\\
\;\;\;\;\left(\left(\sqrt{1 + x} + {\left(\sqrt{1 + y} + \sqrt{y}\right)}^{-1}\right) - \sqrt{x}\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, y, 2\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + t\_1\right) + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.9999999999999995e-8Initial program 5.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites8.8%
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.f6458.7
Applied rewrites58.7%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6474.6
Applied rewrites74.6%
Taylor expanded in x around 0
Applied rewrites58.7%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.99950000000000006Initial program 93.5%
lift--.f64N/A
flip--N/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
div-subN/A
lower--.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f6493.6
Applied rewrites93.6%
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.f6445.8
Applied rewrites45.8%
if 1.99950000000000006 < (+.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 97.0%
Taylor expanded in x around 0
associate--r+N/A
lower--.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6442.8
Applied rewrites42.8%
Taylor expanded in y around 0
Applied rewrites32.8%
Final simplification37.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ t 1.0)))
(t_3 (- t_2 (sqrt t))))
(if (<=
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_1)
t_3)
1.0001)
(+
(+
(fma (sqrt (pow y -1.0)) 0.5 (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0))
t_1)
t_3)
(+
(+ (- (+ (sqrt (+ 1.0 y)) (- 1.0 (sqrt x))) (sqrt y)) t_1)
(/ (- (+ t 1.0) t) (+ (sqrt t) 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));
double t_3 = t_2 - sqrt(t);
double tmp;
if (((((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_3) <= 1.0001) {
tmp = (fma(sqrt(pow(y, -1.0)), 0.5, pow((sqrt((1.0 + x)) + sqrt(x)), -1.0)) + t_1) + t_3;
} else {
tmp = (((sqrt((1.0 + y)) + (1.0 - sqrt(x))) - sqrt(y)) + t_1) + (((t + 1.0) - t) / (sqrt(t) + 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 = sqrt(Float64(t + 1.0)) t_3 = Float64(t_2 - sqrt(t)) tmp = 0.0 if (Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) + t_3) <= 1.0001) tmp = Float64(Float64(fma(sqrt((y ^ -1.0)), 0.5, (Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0)) + t_1) + t_3); else tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 + y)) + Float64(1.0 - sqrt(x))) - sqrt(y)) + t_1) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + 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[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], 1.0001], N[(N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $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}\\
t_3 := t\_2 - \sqrt{t}\\
\mathbf{if}\;\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\right) + t\_3 \leq 1.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, {\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1}\right) + t\_1\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\sqrt{1 + y} + \left(1 - \sqrt{x}\right)\right) - \sqrt{y}\right) + t\_1\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_2}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.00009999999999999Initial program 71.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites74.2%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6466.3
Applied rewrites66.3%
if 1.00009999999999999 < (+.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 96.8%
Taylor expanded in x around 0
associate--r+N/A
lower--.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6441.6
Applied rewrites41.6%
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-+.f6442.0
Applied rewrites42.0%
Final simplification48.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt y) (sqrt x)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_4
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_3)
t_2))
(t_5 (sqrt (+ 1.0 x))))
(if (<= t_4 1.0)
(+ t_2 (+ (/ 0.5 (sqrt z)) (pow (+ t_5 (sqrt x)) -1.0)))
(if (<= t_4 2.0001)
(- (+ (fma (sqrt (pow z -1.0)) 0.5 (sqrt (+ 1.0 y))) t_5) t_1)
(+ (+ (- (fma 0.5 y 2.0) t_1) t_3) t_2)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt(x);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double t_4 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_3) + t_2;
double t_5 = sqrt((1.0 + x));
double tmp;
if (t_4 <= 1.0) {
tmp = t_2 + ((0.5 / sqrt(z)) + pow((t_5 + sqrt(x)), -1.0));
} else if (t_4 <= 2.0001) {
tmp = (fma(sqrt(pow(z, -1.0)), 0.5, sqrt((1.0 + y))) + t_5) - t_1;
} else {
tmp = ((fma(0.5, y, 2.0) - t_1) + t_3) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(x)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_4 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_3) + t_2) t_5 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(t_2 + Float64(Float64(0.5 / sqrt(z)) + (Float64(t_5 + sqrt(x)) ^ -1.0))); elseif (t_4 <= 2.0001) tmp = Float64(Float64(fma(sqrt((z ^ -1.0)), 0.5, sqrt(Float64(1.0 + y))) + t_5) - t_1); else tmp = Float64(Float64(Float64(fma(0.5, y, 2.0) - t_1) + t_3) + 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[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(t$95$2 + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$5 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] - t$95$1), $MachinePrecision], N[(N[(N[(N[(0.5 * y + 2.0), $MachinePrecision] - t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y} + \sqrt{x}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
t_4 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_3\right) + t\_2\\
t_5 := \sqrt{1 + x}\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;t\_2 + \left(\frac{0.5}{\sqrt{z}} + {\left(t\_5 + \sqrt{x}\right)}^{-1}\right)\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, \sqrt{1 + y}\right) + t\_5\right) - t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, y, 2\right) - t\_1\right) + t\_3\right) + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 71.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6462.3
Applied rewrites62.3%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.5
Applied rewrites41.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6441.5
lift-+.f64N/A
+-commutativeN/A
Applied rewrites41.5%
Applied rewrites52.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial program 96.2%
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.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites17.9%
if 2.00010000000000021 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.9%
Taylor expanded in x around 0
associate--r+N/A
lower--.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6459.2
Applied rewrites59.2%
Taylor expanded in y around 0
Applied rewrites52.2%
Final simplification37.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_1)
t_2))
(t_4 (sqrt (+ 1.0 y))))
(if (<= t_3 1.0)
(+ (+ (pow (+ (sqrt x) 1.0) -1.0) t_1) t_2)
(if (<= t_3 2.0001)
(-
(+ (fma (sqrt (pow z -1.0)) 0.5 t_4) (sqrt (+ 1.0 x)))
(+ (sqrt y) (sqrt x)))
(-
(+ (+ t_4 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((z + 1.0)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_2;
double t_4 = sqrt((1.0 + y));
double tmp;
if (t_3 <= 1.0) {
tmp = (pow((sqrt(x) + 1.0), -1.0) + t_1) + t_2;
} else if (t_3 <= 2.0001) {
tmp = (fma(sqrt(pow(z, -1.0)), 0.5, t_4) + sqrt((1.0 + x))) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_4 + 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(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) + t_2) t_4 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_3 <= 1.0) tmp = Float64(Float64((Float64(sqrt(x) + 1.0) ^ -1.0) + t_1) + t_2); elseif (t_3 <= 2.0001) tmp = Float64(Float64(fma(sqrt((z ^ -1.0)), 0.5, t_4) + sqrt(Float64(1.0 + x))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_4 + 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[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(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$1), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 1.0], N[(N[(N[Power[N[(N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$3, 2.0001], N[(N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\right) + t\_2\\
t_4 := \sqrt{1 + y}\\
\mathbf{if}\;t\_3 \leq 1:\\
\;\;\;\;\left({\left(\sqrt{x} + 1\right)}^{-1} + t\_1\right) + t\_2\\
\mathbf{elif}\;t\_3 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, t\_4\right) + \sqrt{1 + x}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 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 71.8%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites72.8%
Taylor expanded in x around 0
associate-/r*N/A
lower-/.f64N/A
Applied rewrites76.5%
Taylor expanded in y around inf
Applied rewrites51.9%
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))) < 2.00010000000000021Initial 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.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites17.9%
if 2.00010000000000021 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.9
Applied rewrites32.9%
Taylor expanded in x around 0
Applied rewrites29.5%
Final simplification30.0%
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)))
(t_2
(+
(+
(+ t_1 (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t))))
(t_3 (sqrt (+ 1.0 y))))
(if (<= t_2 1.0)
(+ (* (sqrt (pow t -1.0)) 0.5) (+ (/ 0.5 (sqrt z)) t_1))
(if (<= t_2 2.0001)
(-
(+ (fma (sqrt (pow z -1.0)) 0.5 t_3) (sqrt (+ 1.0 x)))
(+ (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((x + 1.0)) - sqrt(x);
double t_2 = ((t_1 + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double t_3 = sqrt((1.0 + y));
double tmp;
if (t_2 <= 1.0) {
tmp = (sqrt(pow(t, -1.0)) * 0.5) + ((0.5 / sqrt(z)) + t_1);
} else if (t_2 <= 2.0001) {
tmp = (fma(sqrt(pow(z, -1.0)), 0.5, t_3) + sqrt((1.0 + x))) - (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(x + 1.0)) - sqrt(x)) t_2 = Float64(Float64(Float64(t_1 + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) t_3 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_2 <= 1.0) tmp = Float64(Float64(sqrt((t ^ -1.0)) * 0.5) + Float64(Float64(0.5 / sqrt(z)) + t_1)); elseif (t_2 <= 2.0001) tmp = Float64(Float64(fma(sqrt((z ^ -1.0)), 0.5, t_3) + sqrt(Float64(1.0 + x))) - 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[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(t$95$1 + 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]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 1.0], N[(N[(N[Sqrt[N[Power[t, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 2.0001], N[(N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $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{x + 1} - \sqrt{x}\\
t_2 := \left(\left(t\_1 + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
t_3 := \sqrt{1 + y}\\
\mathbf{if}\;t\_2 \leq 1:\\
\;\;\;\;\sqrt{{t}^{-1}} \cdot 0.5 + \left(\frac{0.5}{\sqrt{z}} + t\_1\right)\\
\mathbf{elif}\;t\_2 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, t\_3\right) + \sqrt{1 + x}\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 71.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6462.3
Applied rewrites62.3%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.5
Applied rewrites41.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6441.5
lift-+.f64N/A
+-commutativeN/A
Applied rewrites41.5%
Taylor expanded in t around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6428.0
Applied rewrites28.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial 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.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites17.9%
if 2.00010000000000021 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.9
Applied rewrites32.9%
Taylor expanded in x around 0
Applied rewrites29.5%
Final simplification24.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_1))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_2 1.0)
(+ (+ (pow (+ (sqrt x) 1.0) -1.0) t_1) t_3)
(if (<= t_2 2.0001)
(-
(+ (fma (sqrt (pow z -1.0)) 0.5 (sqrt (+ 1.0 y))) (sqrt (+ 1.0 x)))
(+ (sqrt y) (sqrt x)))
(+ (+ (- (- 2.0 (sqrt x)) (sqrt y)) t_1) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = ((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1;
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_2 <= 1.0) {
tmp = (pow((sqrt(x) + 1.0), -1.0) + t_1) + t_3;
} else if (t_2 <= 2.0001) {
tmp = (fma(sqrt(pow(z, -1.0)), 0.5, sqrt((1.0 + y))) + sqrt((1.0 + x))) - (sqrt(y) + sqrt(x));
} else {
tmp = (((2.0 - sqrt(x)) - sqrt(y)) + t_1) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_2 <= 1.0) tmp = Float64(Float64((Float64(sqrt(x) + 1.0) ^ -1.0) + t_1) + t_3); elseif (t_2 <= 2.0001) tmp = Float64(Float64(fma(sqrt((z ^ -1.0)), 0.5, sqrt(Float64(1.0 + y))) + sqrt(Float64(1.0 + x))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(2.0 - sqrt(x)) - sqrt(y)) + t_1) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(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$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 1.0], N[(N[(N[Power[N[(N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision], -1.0], $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$2, 2.0001], N[(N[(N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(2.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 \leq 1:\\
\;\;\;\;\left({\left(\sqrt{x} + 1\right)}^{-1} + t\_1\right) + t\_3\\
\mathbf{elif}\;t\_2 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{z}^{-1}}, 0.5, \sqrt{1 + y}\right) + \sqrt{1 + x}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(2 - \sqrt{x}\right) - \sqrt{y}\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 84.5%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites85.3%
Taylor expanded in x around 0
associate-/r*N/A
lower-/.f64N/A
Applied rewrites86.2%
Taylor expanded in y around inf
Applied rewrites58.3%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 94.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.8
Applied rewrites5.8%
Taylor expanded in z around inf
Applied rewrites22.7%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.1%
Taylor expanded in x around 0
associate--r+N/A
lower--.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6490.6
Applied rewrites90.6%
Taylor expanded in y around 0
Applied rewrites89.8%
Final simplification49.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0)))
(t_2 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z))))
(if (<= t_2 1e-5)
(+
(+
(fma (sqrt (pow y -1.0)) 0.5 (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0))
t_3)
(- t_1 (sqrt t)))
(+
(+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_2) t_3)
(/ (- (+ t 1.0) t) (+ (sqrt t) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = sqrt((y + 1.0)) - sqrt(y);
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double tmp;
if (t_2 <= 1e-5) {
tmp = (fma(sqrt(pow(y, -1.0)), 0.5, pow((sqrt((1.0 + x)) + sqrt(x)), -1.0)) + t_3) + (t_1 - sqrt(t));
} else {
tmp = (((sqrt((x + 1.0)) - sqrt(x)) + t_2) + t_3) + (((t + 1.0) - t) / (sqrt(t) + t_1));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) tmp = 0.0 if (t_2 <= 1e-5) tmp = Float64(Float64(fma(sqrt((y ^ -1.0)), 0.5, (Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0)) + t_3) + Float64(t_1 - sqrt(t))); else tmp = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_2) + t_3) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_1))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 1e-5], N[(N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1}\\
t_2 := \sqrt{y + 1} - \sqrt{y}\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
\mathbf{if}\;t\_2 \leq 10^{-5}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, {\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1}\right) + t\_3\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + t\_2\right) + t\_3\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_1}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 1.00000000000000008e-5Initial program 83.1%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites85.1%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6493.0
Applied rewrites93.0%
if 1.00000000000000008e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
Final simplification95.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y))))
(if (<= (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_3) t_1) t_2) 1e-7)
(+
t_2
(+
(/ 0.5 (sqrt z))
(/ (fma -0.125 (sqrt (pow x -1.0)) (* 0.5 (sqrt x))) x)))
(+ (+ (+ (fma 0.5 x (- 1.0 (sqrt x))) t_3) t_1) t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double tmp;
if (((((sqrt((x + 1.0)) - sqrt(x)) + t_3) + t_1) + t_2) <= 1e-7) {
tmp = t_2 + ((0.5 / sqrt(z)) + (fma(-0.125, sqrt(pow(x, -1.0)), (0.5 * sqrt(x))) / x));
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + t_3) + t_1) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) tmp = 0.0 if (Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_3) + t_1) + t_2) <= 1e-7) tmp = Float64(t_2 + Float64(Float64(0.5 / sqrt(z)) + Float64(fma(-0.125, sqrt((x ^ -1.0)), Float64(0.5 * sqrt(x))) / x))); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_3) + t_1) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision], 1e-7], N[(t$95$2 + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(-0.125 * N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] + N[(0.5 * N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
\mathbf{if}\;\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + t\_3\right) + t\_1\right) + t\_2 \leq 10^{-7}:\\
\;\;\;\;t\_2 + \left(\frac{0.5}{\sqrt{z}} + \frac{\mathsf{fma}\left(-0.125, \sqrt{{x}^{-1}}, 0.5 \cdot \sqrt{x}\right)}{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_3\right) + t\_1\right) + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.9999999999999995e-8Initial program 5.0%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6419.0
Applied rewrites19.0%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6419.0
Applied rewrites19.0%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6419.0
lift-+.f64N/A
+-commutativeN/A
Applied rewrites18.9%
Taylor expanded in x around inf
Applied rewrites58.9%
if 9.9999999999999995e-8 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 96.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6448.7
Applied rewrites48.7%
Final simplification49.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_2
(+
(+
(+ t_1 (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t))))
(t_3 (sqrt (+ 1.0 y))))
(if (<= t_2 1.0)
(+ (* (sqrt (pow t -1.0)) 0.5) (+ (/ 0.5 (sqrt z)) t_1))
(if (<= t_2 2.0)
(- (+ (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((x + 1.0)) - sqrt(x);
double t_2 = ((t_1 + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double t_3 = sqrt((1.0 + y));
double tmp;
if (t_2 <= 1.0) {
tmp = (sqrt(pow(t, -1.0)) * 0.5) + ((0.5 / sqrt(z)) + t_1);
} else if (t_2 <= 2.0) {
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;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((x + 1.0d0)) - sqrt(x)
t_2 = ((t_1 + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
t_3 = sqrt((1.0d0 + y))
if (t_2 <= 1.0d0) then
tmp = (sqrt((t ** (-1.0d0))) * 0.5d0) + ((0.5d0 / sqrt(z)) + t_1)
else if (t_2 <= 2.0d0) then
tmp = (sqrt((1.0d0 + x)) + t_3) - (sqrt(y) + sqrt(x))
else
tmp = ((t_3 + 1.0d0) + sqrt((1.0d0 + z))) - ((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((x + 1.0)) - Math.sqrt(x);
double t_2 = ((t_1 + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
double t_3 = Math.sqrt((1.0 + y));
double tmp;
if (t_2 <= 1.0) {
tmp = (Math.sqrt(Math.pow(t, -1.0)) * 0.5) + ((0.5 / Math.sqrt(z)) + t_1);
} else if (t_2 <= 2.0) {
tmp = (Math.sqrt((1.0 + x)) + t_3) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((t_3 + 1.0) + Math.sqrt((1.0 + z))) - ((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((x + 1.0)) - math.sqrt(x) t_2 = ((t_1 + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t)) t_3 = math.sqrt((1.0 + y)) tmp = 0 if t_2 <= 1.0: tmp = (math.sqrt(math.pow(t, -1.0)) * 0.5) + ((0.5 / math.sqrt(z)) + t_1) elif t_2 <= 2.0: tmp = (math.sqrt((1.0 + x)) + t_3) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((t_3 + 1.0) + math.sqrt((1.0 + z))) - ((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(x + 1.0)) - sqrt(x)) t_2 = Float64(Float64(Float64(t_1 + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) t_3 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_2 <= 1.0) tmp = Float64(Float64(sqrt((t ^ -1.0)) * 0.5) + Float64(Float64(0.5 / sqrt(z)) + t_1)); elseif (t_2 <= 2.0) 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
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0)) - sqrt(x);
t_2 = ((t_1 + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
t_3 = sqrt((1.0 + y));
tmp = 0.0;
if (t_2 <= 1.0)
tmp = (sqrt((t ^ -1.0)) * 0.5) + ((0.5 / sqrt(z)) + t_1);
elseif (t_2 <= 2.0)
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));
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[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(t$95$1 + 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]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 1.0], N[(N[(N[Sqrt[N[Power[t, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 2.0], 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{x + 1} - \sqrt{x}\\
t_2 := \left(\left(t\_1 + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
t_3 := \sqrt{1 + y}\\
\mathbf{if}\;t\_2 \leq 1:\\
\;\;\;\;\sqrt{{t}^{-1}} \cdot 0.5 + \left(\frac{0.5}{\sqrt{z}} + t\_1\right)\\
\mathbf{elif}\;t\_2 \leq 2:\\
\;\;\;\;\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 71.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6462.3
Applied rewrites62.3%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.5
Applied rewrites41.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6441.5
lift-+.f64N/A
+-commutativeN/A
Applied rewrites41.5%
Taylor expanded in t around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6428.0
Applied rewrites28.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.5
Applied rewrites3.5%
Taylor expanded in z around inf
Applied rewrites17.3%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 94.8%
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.f6432.4
Applied rewrites32.4%
Taylor expanded in x around 0
Applied rewrites29.2%
Final simplification23.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_2
(+
(+
(+ t_1 (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t))))
(t_3 (sqrt (+ 1.0 y))))
(if (<= t_2 1.0)
(+ (- (sqrt t) (sqrt t)) (+ (/ 0.5 (sqrt z)) t_1))
(if (<= t_2 2.0)
(- (+ (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((x + 1.0)) - sqrt(x);
double t_2 = ((t_1 + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double t_3 = sqrt((1.0 + y));
double tmp;
if (t_2 <= 1.0) {
tmp = (sqrt(t) - sqrt(t)) + ((0.5 / sqrt(z)) + t_1);
} else if (t_2 <= 2.0) {
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;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((x + 1.0d0)) - sqrt(x)
t_2 = ((t_1 + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
t_3 = sqrt((1.0d0 + y))
if (t_2 <= 1.0d0) then
tmp = (sqrt(t) - sqrt(t)) + ((0.5d0 / sqrt(z)) + t_1)
else if (t_2 <= 2.0d0) then
tmp = (sqrt((1.0d0 + x)) + t_3) - (sqrt(y) + sqrt(x))
else
tmp = ((t_3 + 1.0d0) + sqrt((1.0d0 + z))) - ((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((x + 1.0)) - Math.sqrt(x);
double t_2 = ((t_1 + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
double t_3 = Math.sqrt((1.0 + y));
double tmp;
if (t_2 <= 1.0) {
tmp = (Math.sqrt(t) - Math.sqrt(t)) + ((0.5 / Math.sqrt(z)) + t_1);
} else if (t_2 <= 2.0) {
tmp = (Math.sqrt((1.0 + x)) + t_3) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((t_3 + 1.0) + Math.sqrt((1.0 + z))) - ((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((x + 1.0)) - math.sqrt(x) t_2 = ((t_1 + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t)) t_3 = math.sqrt((1.0 + y)) tmp = 0 if t_2 <= 1.0: tmp = (math.sqrt(t) - math.sqrt(t)) + ((0.5 / math.sqrt(z)) + t_1) elif t_2 <= 2.0: tmp = (math.sqrt((1.0 + x)) + t_3) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((t_3 + 1.0) + math.sqrt((1.0 + z))) - ((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(x + 1.0)) - sqrt(x)) t_2 = Float64(Float64(Float64(t_1 + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) t_3 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_2 <= 1.0) tmp = Float64(Float64(sqrt(t) - sqrt(t)) + Float64(Float64(0.5 / sqrt(z)) + t_1)); elseif (t_2 <= 2.0) 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
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0)) - sqrt(x);
t_2 = ((t_1 + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
t_3 = sqrt((1.0 + y));
tmp = 0.0;
if (t_2 <= 1.0)
tmp = (sqrt(t) - sqrt(t)) + ((0.5 / sqrt(z)) + t_1);
elseif (t_2 <= 2.0)
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));
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[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(t$95$1 + 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]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 1.0], N[(N[(N[Sqrt[t], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 2.0], 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{x + 1} - \sqrt{x}\\
t_2 := \left(\left(t\_1 + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
t_3 := \sqrt{1 + y}\\
\mathbf{if}\;t\_2 \leq 1:\\
\;\;\;\;\left(\sqrt{t} - \sqrt{t}\right) + \left(\frac{0.5}{\sqrt{z}} + t\_1\right)\\
\mathbf{elif}\;t\_2 \leq 2:\\
\;\;\;\;\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 71.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6462.3
Applied rewrites62.3%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.5
Applied rewrites41.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6441.5
lift-+.f64N/A
+-commutativeN/A
Applied rewrites41.5%
Taylor expanded in t around inf
lower-sqrt.f6423.0
Applied rewrites23.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.5
Applied rewrites3.5%
Taylor expanded in z around inf
Applied rewrites17.3%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 94.8%
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.f6432.4
Applied rewrites32.4%
Taylor expanded in x around 0
Applied rewrites29.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2
(+
(+
(+ (- (sqrt (+ 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)
(+ t_1 (+ (/ 0.5 (sqrt z)) (- (fma 0.5 x 1.0) (sqrt x))))
(if (<= t_2 2.0)
(- (+ (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 = t_1 + ((0.5 / sqrt(z)) + (fma(0.5, x, 1.0) - sqrt(x)));
} else if (t_2 <= 2.0) {
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(t_1 + Float64(Float64(0.5 / sqrt(z)) + Float64(fma(0.5, x, 1.0) - sqrt(x)))); elseif (t_2 <= 2.0) 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[(t$95$1 + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * x + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 2.0], 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:\\
\;\;\;\;t\_1 + \left(\frac{0.5}{\sqrt{z}} + \left(\mathsf{fma}\left(0.5, x, 1\right) - \sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_2 \leq 2:\\
\;\;\;\;\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 71.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6462.3
Applied rewrites62.3%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.5
Applied rewrites41.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6441.5
lift-+.f64N/A
+-commutativeN/A
Applied rewrites41.5%
Taylor expanded in x around 0
Applied rewrites18.1%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.5
Applied rewrites3.5%
Taylor expanded in z around inf
Applied rewrites17.3%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 94.8%
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.f6432.4
Applied rewrites32.4%
Taylor expanded in x around 0
Applied rewrites29.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2
(+
(+
(+ (- (sqrt (+ 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)
(+ t_1 (+ (/ 0.5 (sqrt z)) (- 1.0 (sqrt x))))
(if (<= t_2 2.0)
(- (+ (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 = t_1 + ((0.5 / sqrt(z)) + (1.0 - sqrt(x)));
} else if (t_2 <= 2.0) {
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;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((t + 1.0d0)) - sqrt(t)
t_2 = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + t_1
t_3 = sqrt((1.0d0 + y))
if (t_2 <= 1.0d0) then
tmp = t_1 + ((0.5d0 / sqrt(z)) + (1.0d0 - sqrt(x)))
else if (t_2 <= 2.0d0) then
tmp = (sqrt((1.0d0 + x)) + t_3) - (sqrt(y) + sqrt(x))
else
tmp = ((t_3 + 1.0d0) + sqrt((1.0d0 + z))) - ((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((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_3 = Math.sqrt((1.0 + y));
double tmp;
if (t_2 <= 1.0) {
tmp = t_1 + ((0.5 / Math.sqrt(z)) + (1.0 - Math.sqrt(x)));
} else if (t_2 <= 2.0) {
tmp = (Math.sqrt((1.0 + x)) + t_3) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((t_3 + 1.0) + Math.sqrt((1.0 + z))) - ((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((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_3 = math.sqrt((1.0 + y)) tmp = 0 if t_2 <= 1.0: tmp = t_1 + ((0.5 / math.sqrt(z)) + (1.0 - math.sqrt(x))) elif t_2 <= 2.0: tmp = (math.sqrt((1.0 + x)) + t_3) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((t_3 + 1.0) + math.sqrt((1.0 + z))) - ((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(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(t_1 + Float64(Float64(0.5 / sqrt(z)) + Float64(1.0 - sqrt(x)))); elseif (t_2 <= 2.0) 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
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((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));
tmp = 0.0;
if (t_2 <= 1.0)
tmp = t_1 + ((0.5 / sqrt(z)) + (1.0 - sqrt(x)));
elseif (t_2 <= 2.0)
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));
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[(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[(t$95$1 + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 2.0], 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:\\
\;\;\;\;t\_1 + \left(\frac{0.5}{\sqrt{z}} + \left(1 - \sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_2 \leq 2:\\
\;\;\;\;\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 71.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6462.3
Applied rewrites62.3%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.5
Applied rewrites41.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6441.5
lift-+.f64N/A
+-commutativeN/A
Applied rewrites41.5%
Taylor expanded in x around 0
Applied rewrites14.9%
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))) < 2Initial program 97.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.5
Applied rewrites3.5%
Taylor expanded in z around inf
Applied rewrites17.3%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 94.8%
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.f6432.4
Applied rewrites32.4%
Taylor expanded in x around 0
Applied rewrites29.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- t_1 (sqrt z)))
t_2))
(t_4 (sqrt (+ 1.0 y))))
(if (<= t_3 1.0)
(+ t_2 (+ (/ 0.5 (sqrt z)) (- 1.0 (sqrt x))))
(if (<= t_3 2.0)
(- (+ (sqrt (+ 1.0 x)) t_4) (+ (sqrt y) (sqrt x)))
(+ 1.0 (- (+ t_1 t_4) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (t_1 - sqrt(z))) + t_2;
double t_4 = sqrt((1.0 + y));
double tmp;
if (t_3 <= 1.0) {
tmp = t_2 + ((0.5 / sqrt(z)) + (1.0 - sqrt(x)));
} else if (t_3 <= 2.0) {
tmp = (sqrt((1.0 + x)) + t_4) - (sqrt(y) + sqrt(x));
} else {
tmp = 1.0 + ((t_1 + t_4) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
}
return tmp;
}
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((z + 1.0d0))
t_2 = sqrt((t + 1.0d0)) - sqrt(t)
t_3 = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (t_1 - sqrt(z))) + t_2
t_4 = sqrt((1.0d0 + y))
if (t_3 <= 1.0d0) then
tmp = t_2 + ((0.5d0 / sqrt(z)) + (1.0d0 - sqrt(x)))
else if (t_3 <= 2.0d0) then
tmp = (sqrt((1.0d0 + x)) + t_4) - (sqrt(y) + sqrt(x))
else
tmp = 1.0d0 + ((t_1 + t_4) - ((sqrt(z) + sqrt(y)) + sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double t_2 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_3 = (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (t_1 - Math.sqrt(z))) + t_2;
double t_4 = Math.sqrt((1.0 + y));
double tmp;
if (t_3 <= 1.0) {
tmp = t_2 + ((0.5 / Math.sqrt(z)) + (1.0 - Math.sqrt(x)));
} else if (t_3 <= 2.0) {
tmp = (Math.sqrt((1.0 + x)) + t_4) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = 1.0 + ((t_1 + t_4) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = math.sqrt((t + 1.0)) - math.sqrt(t) t_3 = (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (t_1 - math.sqrt(z))) + t_2 t_4 = math.sqrt((1.0 + y)) tmp = 0 if t_3 <= 1.0: tmp = t_2 + ((0.5 / math.sqrt(z)) + (1.0 - math.sqrt(x))) elif t_3 <= 2.0: tmp = (math.sqrt((1.0 + x)) + t_4) - (math.sqrt(y) + math.sqrt(x)) else: tmp = 1.0 + ((t_1 + t_4) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(t_1 - sqrt(z))) + t_2) t_4 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (t_3 <= 1.0) tmp = Float64(t_2 + Float64(Float64(0.5 / sqrt(z)) + Float64(1.0 - sqrt(x)))); elseif (t_3 <= 2.0) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + t_4) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(1.0 + Float64(Float64(t_1 + t_4) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = sqrt((t + 1.0)) - sqrt(t);
t_3 = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (t_1 - sqrt(z))) + t_2;
t_4 = sqrt((1.0 + y));
tmp = 0.0;
if (t_3 <= 1.0)
tmp = t_2 + ((0.5 / sqrt(z)) + (1.0 - sqrt(x)));
elseif (t_3 <= 2.0)
tmp = (sqrt((1.0 + x)) + t_4) - (sqrt(y) + sqrt(x));
else
tmp = 1.0 + ((t_1 + t_4) - ((sqrt(z) + sqrt(y)) + sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 1.0], N[(t$95$2 + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 2.0], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$1 + t$95$4), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\right) + t\_2\\
t_4 := \sqrt{1 + y}\\
\mathbf{if}\;t\_3 \leq 1:\\
\;\;\;\;t\_2 + \left(\frac{0.5}{\sqrt{z}} + \left(1 - \sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_3 \leq 2:\\
\;\;\;\;\left(\sqrt{1 + x} + t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_1 + t\_4\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 71.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6462.3
Applied rewrites62.3%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.5
Applied rewrites41.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6441.5
lift-+.f64N/A
+-commutativeN/A
Applied rewrites41.5%
Taylor expanded in x around 0
Applied rewrites14.9%
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))) < 2Initial program 97.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.5
Applied rewrites3.5%
Taylor expanded in z around inf
Applied rewrites17.3%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 94.8%
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.f6432.4
Applied rewrites32.4%
Taylor expanded in x around 0
Applied rewrites33.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt y) (sqrt (+ y 1.0))))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= y 72000000.0)
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (/ (+ y 1.0) t_1) (/ y t_1)))
(/ (- (+ z 1.0) z) (+ (sqrt z) t_2)))
t_3)
(+
(+
(fma (sqrt (pow y -1.0)) 0.5 (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0))
(- t_2 (sqrt z)))
t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt((y + 1.0));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (y <= 72000000.0) {
tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (((y + 1.0) / t_1) - (y / t_1))) + (((z + 1.0) - z) / (sqrt(z) + t_2))) + t_3;
} else {
tmp = (fma(sqrt(pow(y, -1.0)), 0.5, pow((sqrt((1.0 + x)) + sqrt(x)), -1.0)) + (t_2 - sqrt(z))) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(Float64(y + 1.0))) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (y <= 72000000.0) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(Float64(Float64(y + 1.0) / t_1) - Float64(y / t_1))) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_2))) + t_3); else tmp = Float64(Float64(fma(sqrt((y ^ -1.0)), 0.5, (Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0)) + Float64(t_2 - sqrt(z))) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 72000000.0], N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(y + 1.0), $MachinePrecision] / t$95$1), $MachinePrecision] - N[(y / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[Sqrt[N[Power[y, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5 + N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y} + \sqrt{y + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;y \leq 72000000:\\
\;\;\;\;\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\frac{y + 1}{t\_1} - \frac{y}{t\_1}\right)\right) + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_2}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{{y}^{-1}}, 0.5, {\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1}\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\end{array}
\end{array}
if y < 7.2e7Initial program 96.6%
lift--.f64N/A
flip--N/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
div-subN/A
lower--.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f6496.6
Applied rewrites96.6%
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
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.3
lift-+.f64N/A
+-commutativeN/A
lift-+.f6497.3
Applied rewrites97.3%
if 7.2e7 < y Initial program 83.1%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites85.1%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6493.0
Applied rewrites93.0%
Final simplification95.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<=
(+
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
t_1)
t_2)
1.0)
(+ t_2 (+ (/ 0.5 (sqrt z)) (pow (+ (sqrt (+ 1.0 x)) (sqrt x)) -1.0)))
(+ (+ (- (+ (sqrt (+ 1.0 y)) (- 1.0 (sqrt x))) (sqrt y)) 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)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_2) <= 1.0) {
tmp = t_2 + ((0.5 / sqrt(z)) + pow((sqrt((1.0 + x)) + sqrt(x)), -1.0));
} else {
tmp = (((sqrt((1.0 + y)) + (1.0 - sqrt(x))) - sqrt(y)) + t_1) + t_2;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((t + 1.0d0)) - sqrt(t)
if (((((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + t_1) + t_2) <= 1.0d0) then
tmp = t_2 + ((0.5d0 / sqrt(z)) + ((sqrt((1.0d0 + x)) + sqrt(x)) ** (-1.0d0)))
else
tmp = (((sqrt((1.0d0 + y)) + (1.0d0 - sqrt(x))) - sqrt(y)) + t_1) + t_2
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (((((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + t_1) + t_2) <= 1.0) {
tmp = t_2 + ((0.5 / Math.sqrt(z)) + Math.pow((Math.sqrt((1.0 + x)) + Math.sqrt(x)), -1.0));
} else {
tmp = (((Math.sqrt((1.0 + y)) + (1.0 - Math.sqrt(x))) - Math.sqrt(y)) + t_1) + t_2;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if ((((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + t_1) + t_2) <= 1.0: tmp = t_2 + ((0.5 / math.sqrt(z)) + math.pow((math.sqrt((1.0 + x)) + math.sqrt(x)), -1.0)) else: tmp = (((math.sqrt((1.0 + y)) + (1.0 - math.sqrt(x))) - math.sqrt(y)) + 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(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + t_1) + t_2) <= 1.0) tmp = Float64(t_2 + Float64(Float64(0.5 / sqrt(z)) + (Float64(sqrt(Float64(1.0 + x)) + sqrt(x)) ^ -1.0))); else tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 + y)) + Float64(1.0 - sqrt(x))) - sqrt(y)) + t_1) + t_2); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (((((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + t_1) + t_2) <= 1.0)
tmp = t_2 + ((0.5 / sqrt(z)) + ((sqrt((1.0 + x)) + sqrt(x)) ^ -1.0));
else
tmp = (((sqrt((1.0 + y)) + (1.0 - sqrt(x))) - sqrt(y)) + t_1) + t_2;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(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[(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$1), $MachinePrecision] + t$95$2), $MachinePrecision], 1.0], N[(t$95$2 + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $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}\;\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + t\_1\right) + t\_2 \leq 1:\\
\;\;\;\;t\_2 + \left(\frac{0.5}{\sqrt{z}} + {\left(\sqrt{1 + x} + \sqrt{x}\right)}^{-1}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\sqrt{1 + y} + \left(1 - \sqrt{x}\right)\right) - \sqrt{y}\right) + t\_1\right) + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 71.8%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6462.3
Applied rewrites62.3%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6441.5
Applied rewrites41.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6441.5
lift-+.f64N/A
+-commutativeN/A
Applied rewrites41.5%
Applied rewrites52.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 96.1%
Taylor expanded in x around 0
associate--r+N/A
lower--.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6441.1
Applied rewrites41.1%
Final simplification44.0%
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))))
(if (<= (- (sqrt (+ x 1.0)) (sqrt x)) 0.5)
(+ (+ (* (sqrt (pow x -1.0)) 0.5) (* (sqrt (pow z -1.0)) 0.5)) t_1)
(+
(+
(+ (fma 0.5 x (- 1.0 (sqrt x))) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if ((sqrt((x + 1.0)) - sqrt(x)) <= 0.5) {
tmp = ((sqrt(pow(x, -1.0)) * 0.5) + (sqrt(pow(z, -1.0)) * 0.5)) + t_1;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) <= 0.5) tmp = Float64(Float64(Float64(sqrt((x ^ -1.0)) * 0.5) + Float64(sqrt((z ^ -1.0)) * 0.5)) + t_1); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.5], N[(N[(N[(N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[Sqrt[N[Power[z, -1.0], $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $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]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;\sqrt{x + 1} - \sqrt{x} \leq 0.5:\\
\;\;\;\;\left(\sqrt{{x}^{-1}} \cdot 0.5 + \sqrt{{z}^{-1}} \cdot 0.5\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + t\_1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.5Initial program 85.3%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites86.5%
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.f6489.6
Applied rewrites89.6%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6452.0
Applied rewrites52.0%
Taylor expanded in x around 0
Applied rewrites25.5%
if 0.5 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 96.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6495.4
Applied rewrites95.4%
Final simplification56.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (* (- 0.5 (- (sqrt (pow x -1.0)))) x))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (0.5 - -sqrt(pow(x, -1.0))) * x;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (0.5d0 - -sqrt((x ** (-1.0d0)))) * x
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (0.5 - -Math.sqrt(Math.pow(x, -1.0))) * x;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (0.5 - -math.sqrt(math.pow(x, -1.0))) * x
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(0.5 - Float64(-sqrt((x ^ -1.0)))) * x) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (0.5 - -sqrt((x ^ -1.0))) * x;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(0.5 - (-N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision])), $MachinePrecision] * x), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(0.5 - \left(-\sqrt{{x}^{-1}}\right)\right) \cdot x
\end{array}
Initial program 90.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites24.5%
Taylor expanded in x around inf
Applied rewrites4.0%
Taylor expanded in x around -inf
Applied rewrites6.4%
Final simplification6.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= y 9e+17) (- (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y))) (+ (sqrt y) (sqrt x))) (+ (- (sqrt (+ t 1.0)) (sqrt t)) (+ (/ 0.5 (sqrt z)) (- 1.0 (sqrt x))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 9e+17) {
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
} else {
tmp = (sqrt((t + 1.0)) - sqrt(t)) + ((0.5 / sqrt(z)) + (1.0 - sqrt(x)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (y <= 9d+17) then
tmp = (sqrt((1.0d0 + x)) + sqrt((1.0d0 + y))) - (sqrt(y) + sqrt(x))
else
tmp = (sqrt((t + 1.0d0)) - sqrt(t)) + ((0.5d0 / sqrt(z)) + (1.0d0 - sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (y <= 9e+17) {
tmp = (Math.sqrt((1.0 + x)) + Math.sqrt((1.0 + y))) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (Math.sqrt((t + 1.0)) - Math.sqrt(t)) + ((0.5 / Math.sqrt(z)) + (1.0 - Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if y <= 9e+17: tmp = (math.sqrt((1.0 + x)) + math.sqrt((1.0 + y))) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (math.sqrt((t + 1.0)) - math.sqrt(t)) + ((0.5 / math.sqrt(z)) + (1.0 - math.sqrt(x))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 9e+17) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) + Float64(Float64(0.5 / sqrt(z)) + Float64(1.0 - sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (y <= 9e+17)
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
else
tmp = (sqrt((t + 1.0)) - sqrt(t)) + ((0.5 / sqrt(z)) + (1.0 - sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[y, 9e+17], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 9 \cdot 10^{+17}:\\
\;\;\;\;\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{t + 1} - \sqrt{t}\right) + \left(\frac{0.5}{\sqrt{z}} + \left(1 - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if y < 9e17Initial 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.f6421.0
Applied rewrites21.0%
Taylor expanded in z around inf
Applied rewrites20.9%
if 9e17 < y Initial program 84.2%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6439.5
Applied rewrites39.5%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6439.5
Applied rewrites39.5%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6439.5
lift-+.f64N/A
+-commutativeN/A
Applied rewrites39.5%
Taylor expanded in x around 0
Applied rewrites23.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= y 1.76e+18) (- (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y))) (+ (sqrt y) (sqrt x))) (+ (- (sqrt t) (+ (+ (+ (sqrt z) (sqrt y)) (sqrt x)) (sqrt t))) 1.0)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 1.76e+18) {
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
} else {
tmp = (sqrt(t) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (y <= 1.76d+18) then
tmp = (sqrt((1.0d0 + x)) + sqrt((1.0d0 + y))) - (sqrt(y) + sqrt(x))
else
tmp = (sqrt(t) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (y <= 1.76e+18) {
tmp = (Math.sqrt((1.0 + x)) + Math.sqrt((1.0 + y))) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (Math.sqrt(t) - (((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x)) + Math.sqrt(t))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if y <= 1.76e+18: tmp = (math.sqrt((1.0 + x)) + math.sqrt((1.0 + y))) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (math.sqrt(t) - (((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x)) + math.sqrt(t))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 1.76e+18) tmp = Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(sqrt(t) - Float64(Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (y <= 1.76e+18)
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(y) + sqrt(x));
else
tmp = (sqrt(t) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[y, 1.76e+18], N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[t], $MachinePrecision] - N[(N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 1.76 \cdot 10^{+18}:\\
\;\;\;\;\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{t} - \left(\left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right) + \sqrt{t}\right)\right) + 1\\
\end{array}
\end{array}
if y < 1.76e18Initial 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.f6421.0
Applied rewrites21.0%
Taylor expanded in z around inf
Applied rewrites20.9%
if 1.76e18 < y Initial program 84.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites23.7%
Taylor expanded in t around inf
Applied rewrites7.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (sqrt (+ 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 90.0%
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.f6413.0
Applied rewrites13.0%
Taylor expanded in z around inf
Applied rewrites12.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (fma 0.5 x (- (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return fma(0.5, x, -sqrt(x));
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return fma(0.5, x, Float64(-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[(0.5 * x + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\mathsf{fma}\left(0.5, x, -\sqrt{x}\right)
\end{array}
Initial program 90.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites24.5%
Taylor expanded in x around inf
Applied rewrites4.0%
Taylor expanded in x around 0
Applied rewrites4.0%
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)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(-sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := (-N[Sqrt[x], $MachinePrecision])
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
-\sqrt{x}
\end{array}
Initial program 90.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites24.5%
Taylor expanded in x around inf
Applied rewrites4.0%
Taylor expanded in x around 0
Applied rewrites1.6%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024337
(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))))