
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 18 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ t 1.0)))
(t_4 (- t_3 (sqrt t)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (/ 1.0 (+ t_5 (sqrt y))))
(t_7 (+ (- t_2 (sqrt z)) (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_7 0.0)
(+ t_4 (fma (sqrt (/ 1.0 x)) 0.5 t_6))
(if (<= t_7 1.8)
(+ (- (+ t_6 t_1) (sqrt x)) t_4)
(if (<= t_7 2.999999995)
(- (+ (/ 1.0 (+ t_2 (sqrt z))) (+ t_5 1.0)) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (/ 1.0 (+ (sqrt t) t_3)) (+ t_2 1.0))
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
1.0))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((t + 1.0));
double t_4 = t_3 - sqrt(t);
double t_5 = sqrt((y + 1.0));
double t_6 = 1.0 / (t_5 + sqrt(y));
double t_7 = (t_2 - sqrt(z)) + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_7 <= 0.0) {
tmp = t_4 + fma(sqrt((1.0 / x)), 0.5, t_6);
} else if (t_7 <= 1.8) {
tmp = ((t_6 + t_1) - sqrt(x)) + t_4;
} else if (t_7 <= 2.999999995) {
tmp = ((1.0 / (t_2 + sqrt(z))) + (t_5 + 1.0)) - (sqrt(y) + sqrt(x));
} else {
tmp = (((1.0 / (sqrt(t) + t_3)) + (t_2 + 1.0)) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(t + 1.0)) t_4 = Float64(t_3 - sqrt(t)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(1.0 / Float64(t_5 + sqrt(y))) t_7 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_7 <= 0.0) tmp = Float64(t_4 + fma(sqrt(Float64(1.0 / x)), 0.5, t_6)); elseif (t_7 <= 1.8) tmp = Float64(Float64(Float64(t_6 + t_1) - sqrt(x)) + t_4); elseif (t_7 <= 2.999999995) tmp = Float64(Float64(Float64(1.0 / Float64(t_2 + sqrt(z))) + Float64(t_5 + 1.0)) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_3)) + Float64(t_2 + 1.0)) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(1.0 / N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 0.0], N[(t$95$4 + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$6), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 1.8], N[(N[(N[(t$95$6 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$7, 2.999999995], N[(N[(N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$5 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{t + 1}\\
t_4 := t\_3 - \sqrt{t}\\
t_5 := \sqrt{y + 1}\\
t_6 := \frac{1}{t\_5 + \sqrt{y}}\\
t_7 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_7 \leq 0:\\
\;\;\;\;t\_4 + \mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_6\right)\\
\mathbf{elif}\;t\_7 \leq 1.8:\\
\;\;\;\;\left(\left(t\_6 + t\_1\right) - \sqrt{x}\right) + t\_4\\
\mathbf{elif}\;t\_7 \leq 2.999999995:\\
\;\;\;\;\left(\frac{1}{t\_2 + \sqrt{z}} + \left(t\_5 + 1\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{t} + t\_3} + \left(t\_2 + 1\right)\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 46.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6446.8
Applied rewrites46.8%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6446.8
Applied rewrites46.8%
Taylor expanded in x around inf
Applied rewrites67.1%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.80000000000000004Initial program 95.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.7
Applied rewrites96.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6439.3
Applied rewrites39.3%
if 1.80000000000000004 < (+.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))) < 2.99999999500000003Initial program 96.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.2%
Taylor expanded in x around 0
Applied rewrites22.7%
if 2.99999999500000003 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites100.0%
Taylor expanded in y around 0
Applied rewrites100.0%
Final simplification40.1%
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 (+ y 1.0)))
(t_2 (/ 1.0 (+ t_1 (sqrt y))))
(t_3 (sqrt (+ t 1.0)))
(t_4 (sqrt (+ z 1.0)))
(t_5 (- t_3 (sqrt t)))
(t_6
(+
(+
(- t_4 (sqrt z))
(+ (- t_1 (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x))))
t_5)))
(if (<= t_6 0.0)
(+ t_5 (fma (sqrt (/ 1.0 x)) 0.5 t_2))
(if (<= t_6 1.8)
(+ (- (+ t_2 1.0) (sqrt x)) t_5)
(if (<= t_6 3.0)
(- (+ (/ 1.0 (+ t_4 (sqrt z))) (+ t_1 1.0)) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (fma 0.5 x t_1) t_3)
(+ (+ (+ (sqrt z) (sqrt y)) (sqrt x)) (sqrt t)))
2.0))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = 1.0 / (t_1 + sqrt(y));
double t_3 = sqrt((t + 1.0));
double t_4 = sqrt((z + 1.0));
double t_5 = t_3 - sqrt(t);
double t_6 = ((t_4 - sqrt(z)) + ((t_1 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x)))) + t_5;
double tmp;
if (t_6 <= 0.0) {
tmp = t_5 + fma(sqrt((1.0 / x)), 0.5, t_2);
} else if (t_6 <= 1.8) {
tmp = ((t_2 + 1.0) - sqrt(x)) + t_5;
} else if (t_6 <= 3.0) {
tmp = ((1.0 / (t_4 + sqrt(z))) + (t_1 + 1.0)) - (sqrt(y) + sqrt(x));
} else {
tmp = ((fma(0.5, x, t_1) + t_3) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 2.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(1.0 / Float64(t_1 + sqrt(y))) t_3 = sqrt(Float64(t + 1.0)) t_4 = sqrt(Float64(z + 1.0)) t_5 = Float64(t_3 - sqrt(t)) t_6 = Float64(Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x)))) + t_5) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(t_5 + fma(sqrt(Float64(1.0 / x)), 0.5, t_2)); elseif (t_6 <= 1.8) tmp = Float64(Float64(Float64(t_2 + 1.0) - sqrt(x)) + t_5); elseif (t_6 <= 3.0) tmp = Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(z))) + Float64(t_1 + 1.0)) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(fma(0.5, x, t_1) + t_3) - Float64(Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 2.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 / N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(t$95$5 + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.8], N[(N[(N[(t$95$2 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 3.0], N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \frac{1}{t\_1 + \sqrt{y}}\\
t_3 := \sqrt{t + 1}\\
t_4 := \sqrt{z + 1}\\
t_5 := t\_3 - \sqrt{t}\\
t_6 := \left(\left(t\_4 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\right)\right) + t\_5\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;t\_5 + \mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_2\right)\\
\mathbf{elif}\;t\_6 \leq 1.8:\\
\;\;\;\;\left(\left(t\_2 + 1\right) - \sqrt{x}\right) + t\_5\\
\mathbf{elif}\;t\_6 \leq 3:\\
\;\;\;\;\left(\frac{1}{t\_4 + \sqrt{z}} + \left(t\_1 + 1\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_1\right) + t\_3\right) - \left(\left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right) + \sqrt{t}\right)\right) + 2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.0Initial program 3.4%
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-+.f643.4
Applied rewrites3.4%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f643.4
Applied rewrites3.4%
Taylor expanded in x around inf
Applied rewrites39.0%
if 0.0 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.80000000000000004Initial program 95.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.9
Applied rewrites95.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6451.0
Applied rewrites51.0%
Taylor expanded in x around 0
Applied rewrites30.3%
if 1.80000000000000004 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial program 96.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.9
Applied rewrites96.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.2%
Taylor expanded in x around 0
Applied rewrites23.2%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites99.1%
Taylor expanded in z around 0
Applied rewrites91.8%
Final simplification29.4%
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 1.0)))
(t_2 (sqrt (+ t 1.0)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (- t_2 (sqrt t)))
(t_5
(+
(+
(- t_3 (sqrt z))
(+ (- t_1 (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x))))
t_4)))
(if (<= t_5 0.0)
(+ (* (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 x))) 0.5) t_4)
(if (<= t_5 1.8)
(+ (- (+ (/ 1.0 (+ t_1 (sqrt y))) 1.0) (sqrt x)) t_4)
(if (<= t_5 3.0)
(- (+ (/ 1.0 (+ t_3 (sqrt z))) (+ t_1 1.0)) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (fma 0.5 x t_1) t_2)
(+ (+ (+ (sqrt z) (sqrt y)) (sqrt x)) (sqrt t)))
2.0))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((t + 1.0));
double t_3 = sqrt((z + 1.0));
double t_4 = t_2 - sqrt(t);
double t_5 = ((t_3 - sqrt(z)) + ((t_1 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x)))) + t_4;
double tmp;
if (t_5 <= 0.0) {
tmp = ((sqrt((1.0 / z)) + sqrt((1.0 / x))) * 0.5) + t_4;
} else if (t_5 <= 1.8) {
tmp = (((1.0 / (t_1 + sqrt(y))) + 1.0) - sqrt(x)) + t_4;
} else if (t_5 <= 3.0) {
tmp = ((1.0 / (t_3 + sqrt(z))) + (t_1 + 1.0)) - (sqrt(y) + sqrt(x));
} else {
tmp = ((fma(0.5, x, t_1) + t_2) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 2.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(t + 1.0)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(t_2 - sqrt(t)) t_5 = Float64(Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x)))) + t_4) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / x))) * 0.5) + t_4); elseif (t_5 <= 1.8) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(y))) + 1.0) - sqrt(x)) + t_4); elseif (t_5 <= 3.0) tmp = Float64(Float64(Float64(1.0 / Float64(t_3 + sqrt(z))) + Float64(t_1 + 1.0)) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(fma(0.5, x, t_1) + t_2) - Float64(Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 2.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$5, 1.8], N[(N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$5, 3.0], N[(N[(N[(1.0 / N[(t$95$3 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{t + 1}\\
t_3 := \sqrt{z + 1}\\
t_4 := t\_2 - \sqrt{t}\\
t_5 := \left(\left(t\_3 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\right)\right) + t\_4\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{x}}\right) \cdot 0.5 + t\_4\\
\mathbf{elif}\;t\_5 \leq 1.8:\\
\;\;\;\;\left(\left(\frac{1}{t\_1 + \sqrt{y}} + 1\right) - \sqrt{x}\right) + t\_4\\
\mathbf{elif}\;t\_5 \leq 3:\\
\;\;\;\;\left(\frac{1}{t\_3 + \sqrt{z}} + \left(t\_1 + 1\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_1\right) + t\_2\right) - \left(\left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right) + \sqrt{t}\right)\right) + 2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.0Initial program 3.4%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.4
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites3.4%
Taylor expanded in x around inf
Applied rewrites54.8%
if 0.0 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.80000000000000004Initial program 95.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.9
Applied rewrites95.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6451.0
Applied rewrites51.0%
Taylor expanded in x around 0
Applied rewrites30.3%
if 1.80000000000000004 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial program 96.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.9
Applied rewrites96.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.2%
Taylor expanded in x around 0
Applied rewrites23.2%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites99.1%
Taylor expanded in z around 0
Applied rewrites91.8%
Final simplification30.1%
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 (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ t 1.0)))
(t_4 (- t_3 (sqrt t)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (/ 1.0 (+ t_5 (sqrt y))))
(t_7 (+ (- t_2 (sqrt z)) (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_7 0.0)
(+ t_4 (fma (sqrt (/ 1.0 x)) 0.5 t_6))
(if (<= t_7 1.8)
(+ (- (+ t_6 t_1) (sqrt x)) t_4)
(if (<= t_7 2.999999995)
(- (+ (/ 1.0 (+ t_2 (sqrt z))) (+ t_5 1.0)) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (/ 1.0 (+ (sqrt t) t_3)) t_2)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
2.0))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((t + 1.0));
double t_4 = t_3 - sqrt(t);
double t_5 = sqrt((y + 1.0));
double t_6 = 1.0 / (t_5 + sqrt(y));
double t_7 = (t_2 - sqrt(z)) + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_7 <= 0.0) {
tmp = t_4 + fma(sqrt((1.0 / x)), 0.5, t_6);
} else if (t_7 <= 1.8) {
tmp = ((t_6 + t_1) - sqrt(x)) + t_4;
} else if (t_7 <= 2.999999995) {
tmp = ((1.0 / (t_2 + sqrt(z))) + (t_5 + 1.0)) - (sqrt(y) + sqrt(x));
} else {
tmp = (((1.0 / (sqrt(t) + t_3)) + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 2.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(t + 1.0)) t_4 = Float64(t_3 - sqrt(t)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(1.0 / Float64(t_5 + sqrt(y))) t_7 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_7 <= 0.0) tmp = Float64(t_4 + fma(sqrt(Float64(1.0 / x)), 0.5, t_6)); elseif (t_7 <= 1.8) tmp = Float64(Float64(Float64(t_6 + t_1) - sqrt(x)) + t_4); elseif (t_7 <= 2.999999995) tmp = Float64(Float64(Float64(1.0 / Float64(t_2 + sqrt(z))) + Float64(t_5 + 1.0)) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_3)) + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 2.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(1.0 / N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 0.0], N[(t$95$4 + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$6), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 1.8], N[(N[(N[(t$95$6 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$7, 2.999999995], N[(N[(N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$5 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{t + 1}\\
t_4 := t\_3 - \sqrt{t}\\
t_5 := \sqrt{y + 1}\\
t_6 := \frac{1}{t\_5 + \sqrt{y}}\\
t_7 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_7 \leq 0:\\
\;\;\;\;t\_4 + \mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_6\right)\\
\mathbf{elif}\;t\_7 \leq 1.8:\\
\;\;\;\;\left(\left(t\_6 + t\_1\right) - \sqrt{x}\right) + t\_4\\
\mathbf{elif}\;t\_7 \leq 2.999999995:\\
\;\;\;\;\left(\frac{1}{t\_2 + \sqrt{z}} + \left(t\_5 + 1\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{t} + t\_3} + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 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))) < 0.0Initial program 46.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6446.8
Applied rewrites46.8%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6446.8
Applied rewrites46.8%
Taylor expanded in x around inf
Applied rewrites67.1%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.80000000000000004Initial program 95.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.7
Applied rewrites96.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6439.3
Applied rewrites39.3%
if 1.80000000000000004 < (+.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))) < 2.99999999500000003Initial program 96.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.2%
Taylor expanded in x around 0
Applied rewrites22.7%
if 2.99999999500000003 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites100.0%
Taylor expanded in y around 0
Applied rewrites100.0%
Final simplification40.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ t 1.0)))
(t_3 (- t_2 (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (/ 1.0 (+ t_4 (sqrt y))))
(t_6
(+
(- t_1 (sqrt z))
(+ (- t_4 (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x))))))
(if (<= t_6 0.0)
(+ t_3 (fma (sqrt (/ 1.0 x)) 0.5 t_5))
(if (<= t_6 1.8)
(+ (- (+ t_5 1.0) (sqrt x)) t_3)
(if (<= t_6 2.999999995)
(- (+ (/ 1.0 (+ t_1 (sqrt z))) (+ t_4 1.0)) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (/ 1.0 (+ (sqrt t) t_2)) t_1)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
2.0))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((t + 1.0));
double t_3 = t_2 - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = 1.0 / (t_4 + sqrt(y));
double t_6 = (t_1 - sqrt(z)) + ((t_4 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x)));
double tmp;
if (t_6 <= 0.0) {
tmp = t_3 + fma(sqrt((1.0 / x)), 0.5, t_5);
} else if (t_6 <= 1.8) {
tmp = ((t_5 + 1.0) - sqrt(x)) + t_3;
} else if (t_6 <= 2.999999995) {
tmp = ((1.0 / (t_1 + sqrt(z))) + (t_4 + 1.0)) - (sqrt(y) + sqrt(x));
} else {
tmp = (((1.0 / (sqrt(t) + t_2)) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 2.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(t + 1.0)) t_3 = Float64(t_2 - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(1.0 / Float64(t_4 + sqrt(y))) t_6 = Float64(Float64(t_1 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x)))) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(t_3 + fma(sqrt(Float64(1.0 / x)), 0.5, t_5)); elseif (t_6 <= 1.8) tmp = Float64(Float64(Float64(t_5 + 1.0) - sqrt(x)) + t_3); elseif (t_6 <= 2.999999995) tmp = Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(z))) + Float64(t_4 + 1.0)) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_2)) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 2.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $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[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(1.0 / N[(t$95$4 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(t$95$3 + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.8], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$6, 2.999999995], N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$4 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $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}\\
t_3 := t\_2 - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := \frac{1}{t\_4 + \sqrt{y}}\\
t_6 := \left(t\_1 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_5\right)\\
\mathbf{elif}\;t\_6 \leq 1.8:\\
\;\;\;\;\left(\left(t\_5 + 1\right) - \sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_6 \leq 2.999999995:\\
\;\;\;\;\left(\frac{1}{t\_1 + \sqrt{z}} + \left(t\_4 + 1\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{t} + t\_2} + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 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))) < 0.0Initial program 46.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6446.8
Applied rewrites46.8%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6446.8
Applied rewrites46.8%
Taylor expanded in x around inf
Applied rewrites67.1%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.80000000000000004Initial program 95.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.7
Applied rewrites96.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6439.3
Applied rewrites39.3%
Taylor expanded in x around 0
Applied rewrites27.8%
if 1.80000000000000004 < (+.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))) < 2.99999999500000003Initial program 96.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.0
Applied rewrites97.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.2%
Taylor expanded in x around 0
Applied rewrites22.7%
if 2.99999999500000003 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites100.0%
Taylor expanded in y around 0
Applied rewrites100.0%
Final simplification35.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4
(+
(+
(- t_2 (sqrt z))
(+ (- t_1 (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x))))
t_3)))
(if (<= t_4 0.0)
(+ (* (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 x))) 0.5) t_3)
(if (<= t_4 1.8)
(+ (- (+ (/ 1.0 (+ t_1 (sqrt y))) 1.0) (sqrt x)) t_3)
(- (+ (/ 1.0 (+ t_2 (sqrt z))) (+ t_1 1.0)) (+ (sqrt y) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = ((t_2 - sqrt(z)) + ((t_1 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x)))) + t_3;
double tmp;
if (t_4 <= 0.0) {
tmp = ((sqrt((1.0 / z)) + sqrt((1.0 / x))) * 0.5) + t_3;
} else if (t_4 <= 1.8) {
tmp = (((1.0 / (t_1 + sqrt(y))) + 1.0) - sqrt(x)) + t_3;
} else {
tmp = ((1.0 / (t_2 + sqrt(z))) + (t_1 + 1.0)) - (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((y + 1.0d0))
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
t_4 = ((t_2 - sqrt(z)) + ((t_1 - sqrt(y)) + (sqrt((1.0d0 + x)) - sqrt(x)))) + t_3
if (t_4 <= 0.0d0) then
tmp = ((sqrt((1.0d0 / z)) + sqrt((1.0d0 / x))) * 0.5d0) + t_3
else if (t_4 <= 1.8d0) then
tmp = (((1.0d0 / (t_1 + sqrt(y))) + 1.0d0) - sqrt(x)) + t_3
else
tmp = ((1.0d0 / (t_2 + sqrt(z))) + (t_1 + 1.0d0)) - (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((y + 1.0));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_4 = ((t_2 - Math.sqrt(z)) + ((t_1 - Math.sqrt(y)) + (Math.sqrt((1.0 + x)) - Math.sqrt(x)))) + t_3;
double tmp;
if (t_4 <= 0.0) {
tmp = ((Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / x))) * 0.5) + t_3;
} else if (t_4 <= 1.8) {
tmp = (((1.0 / (t_1 + Math.sqrt(y))) + 1.0) - Math.sqrt(x)) + t_3;
} else {
tmp = ((1.0 / (t_2 + Math.sqrt(z))) + (t_1 + 1.0)) - (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((y + 1.0)) t_2 = math.sqrt((z + 1.0)) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) t_4 = ((t_2 - math.sqrt(z)) + ((t_1 - math.sqrt(y)) + (math.sqrt((1.0 + x)) - math.sqrt(x)))) + t_3 tmp = 0 if t_4 <= 0.0: tmp = ((math.sqrt((1.0 / z)) + math.sqrt((1.0 / x))) * 0.5) + t_3 elif t_4 <= 1.8: tmp = (((1.0 / (t_1 + math.sqrt(y))) + 1.0) - math.sqrt(x)) + t_3 else: tmp = ((1.0 / (t_2 + math.sqrt(z))) + (t_1 + 1.0)) - (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(y + 1.0)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = Float64(Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x)))) + t_3) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / x))) * 0.5) + t_3); elseif (t_4 <= 1.8) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(y))) + 1.0) - sqrt(x)) + t_3); else tmp = Float64(Float64(Float64(1.0 / Float64(t_2 + sqrt(z))) + Float64(t_1 + 1.0)) - Float64(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((y + 1.0));
t_2 = sqrt((z + 1.0));
t_3 = sqrt((t + 1.0)) - sqrt(t);
t_4 = ((t_2 - sqrt(z)) + ((t_1 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x)))) + t_3;
tmp = 0.0;
if (t_4 <= 0.0)
tmp = ((sqrt((1.0 / z)) + sqrt((1.0 / x))) * 0.5) + t_3;
elseif (t_4 <= 1.8)
tmp = (((1.0 / (t_1 + sqrt(y))) + 1.0) - sqrt(x)) + t_3;
else
tmp = ((1.0 / (t_2 + sqrt(z))) + (t_1 + 1.0)) - (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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 1.8], N[(N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \left(\left(t\_2 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\right)\right) + t\_3\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{x}}\right) \cdot 0.5 + t\_3\\
\mathbf{elif}\;t\_4 \leq 1.8:\\
\;\;\;\;\left(\left(\frac{1}{t\_1 + \sqrt{y}} + 1\right) - \sqrt{x}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{t\_2 + \sqrt{z}} + \left(t\_1 + 1\right)\right) - \left(\sqrt{y} + \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))) < 0.0Initial program 3.4%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.4
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites3.4%
Taylor expanded in x around inf
Applied rewrites54.8%
if 0.0 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.80000000000000004Initial program 95.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.9
Applied rewrites95.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6451.0
Applied rewrites51.0%
Taylor expanded in x around 0
Applied rewrites30.3%
if 1.80000000000000004 < (+.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 96.6%
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%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites27.6%
Taylor expanded in x around 0
Applied rewrites23.0%
Final simplification26.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (- t_1 (sqrt x)))
(t_6 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt y)) t_5)))
(t_7 (/ 1.0 (+ t_4 (sqrt y)))))
(if (<= t_6 0.0)
(+ t_3 (fma (sqrt (/ 1.0 x)) 0.5 t_7))
(if (<= t_6 2.0)
(+ (- (+ t_7 t_1) (sqrt x)) t_3)
(+
(+ (+ (- 1.0 (sqrt y)) t_5) (/ (- (+ z 1.0) z) (+ 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((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = t_1 - sqrt(x);
double t_6 = (t_2 - sqrt(z)) + ((t_4 - sqrt(y)) + t_5);
double t_7 = 1.0 / (t_4 + sqrt(y));
double tmp;
if (t_6 <= 0.0) {
tmp = t_3 + fma(sqrt((1.0 / x)), 0.5, t_7);
} else if (t_6 <= 2.0) {
tmp = ((t_7 + t_1) - sqrt(x)) + t_3;
} else {
tmp = (((1.0 - sqrt(y)) + t_5) + (((z + 1.0) - z) / (t_2 + sqrt(z)))) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(t_1 - sqrt(x)) t_6 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + t_5)) t_7 = Float64(1.0 / Float64(t_4 + sqrt(y))) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(t_3 + fma(sqrt(Float64(1.0 / x)), 0.5, t_7)); elseif (t_6 <= 2.0) tmp = Float64(Float64(Float64(t_7 + t_1) - sqrt(x)) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + t_5) + Float64(Float64(Float64(z + 1.0) - z) / Float64(t_2 + sqrt(z)))) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(1.0 / N[(t$95$4 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(t$95$3 + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$7), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0], N[(N[(N[(t$95$7 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := t\_1 - \sqrt{x}\\
t_6 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + t\_5\right)\\
t_7 := \frac{1}{t\_4 + \sqrt{y}}\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_7\right)\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;\left(\left(t\_7 + t\_1\right) - \sqrt{x}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + t\_5\right) + \frac{\left(z + 1\right) - z}{t\_2 + \sqrt{z}}\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))) < 0.0Initial program 46.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6446.8
Applied rewrites46.8%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6446.8
Applied rewrites46.8%
Taylor expanded in x around inf
Applied rewrites67.1%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 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-+.f6497.2
Applied rewrites97.2%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6439.4
Applied rewrites39.4%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 94.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.5
Applied rewrites96.5%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6491.7
Applied rewrites91.7%
Final simplification49.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ t 1.0)))
(t_3 (- t_2 (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_4 (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x))))
(t_6 (+ (- t_1 (sqrt z)) t_5)))
(if (<= t_6 0.0)
(+ t_3 (fma (sqrt (/ 1.0 x)) 0.5 (/ 1.0 (+ t_4 (sqrt y)))))
(if (<= t_6 2.0002)
(+ (+ (* (sqrt (/ 1.0 z)) 0.5) t_5) t_3)
(+
(-
(+ (/ 1.0 (+ (sqrt t) t_2)) (+ t_1 1.0))
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((t + 1.0));
double t_3 = t_2 - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = (t_4 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x));
double t_6 = (t_1 - sqrt(z)) + t_5;
double tmp;
if (t_6 <= 0.0) {
tmp = t_3 + fma(sqrt((1.0 / x)), 0.5, (1.0 / (t_4 + sqrt(y))));
} else if (t_6 <= 2.0002) {
tmp = ((sqrt((1.0 / z)) * 0.5) + t_5) + t_3;
} else {
tmp = (((1.0 / (sqrt(t) + t_2)) + (t_1 + 1.0)) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(t + 1.0)) t_3 = Float64(t_2 - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_4 - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x))) t_6 = Float64(Float64(t_1 - sqrt(z)) + t_5) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(t_3 + fma(sqrt(Float64(1.0 / x)), 0.5, Float64(1.0 / Float64(t_4 + sqrt(y))))); elseif (t_6 <= 2.0002) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / z)) * 0.5) + t_5) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_2)) + Float64(t_1 + 1.0)) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $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[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(t$95$3 + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$4 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $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}\\
t_3 := t\_2 - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_4 - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\\
t_6 := \left(t\_1 - \sqrt{z}\right) + t\_5\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, \frac{1}{t\_4 + \sqrt{y}}\right)\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;\left(\sqrt{\frac{1}{z}} \cdot 0.5 + t\_5\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{t} + t\_2} + \left(t\_1 + 1\right)\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 46.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6446.8
Applied rewrites46.8%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6446.8
Applied rewrites46.8%
Taylor expanded in x around inf
Applied rewrites67.1%
if 0.0 < (+.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))) < 2.00019999999999998Initial program 95.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6448.7
Applied rewrites48.7%
if 2.00019999999999998 < (+.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 98.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.8
Applied rewrites98.8%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites95.4%
Taylor expanded in y around 0
Applied rewrites92.0%
Final simplification55.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (/ 1.0 z)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_5 0.0)
(+ (* (+ t_3 (sqrt (/ 1.0 x))) 0.5) (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_5 2.0002)
(+ (- (fma (+ t_3 x) 0.5 t_4) (+ (sqrt y) (sqrt x))) 1.0)
(- (+ (+ t_2 1.0) t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((1.0 / z));
double t_4 = sqrt((y + 1.0));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_5 <= 0.0) {
tmp = ((t_3 + sqrt((1.0 / x))) * 0.5) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_5 <= 2.0002) {
tmp = (fma((t_3 + x), 0.5, t_4) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = ((t_2 + 1.0) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(1.0 / z)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(Float64(Float64(t_3 + sqrt(Float64(1.0 / x))) * 0.5) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_5 <= 2.0002) tmp = Float64(Float64(fma(Float64(t_3 + x), 0.5, t_4) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(Float64(t_2 + 1.0) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(N[(t$95$3 + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0002], N[(N[(N[(N[(t$95$3 + x), $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(t$95$2 + 1.0), $MachinePrecision] + t$95$1), $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{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{\frac{1}{z}}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\left(t\_3 + \sqrt{\frac{1}{x}}\right) \cdot 0.5 + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_3 + x, 0.5, t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + 1\right) + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 46.8%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6446.8
Applied rewrites46.8%
Taylor expanded in y around inf
Applied rewrites46.8%
Taylor expanded in x around inf
Applied rewrites75.6%
if 0.0 < (+.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))) < 2.00019999999999998Initial program 95.9%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites4.7%
Taylor expanded in t around inf
Applied rewrites21.5%
Taylor expanded in z around inf
Applied rewrites23.2%
if 2.00019999999999998 < (+.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 98.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites64.6%
Taylor expanded in y around 0
Applied rewrites63.6%
Final simplification32.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (- (sqrt (+ 1.0 x)) (sqrt x)))
(t_4 (+ (- t_1 (sqrt y)) t_3)))
(if (<= t_4 0.0)
(+ (* (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 x))) 0.5) t_2)
(if (<= t_4 1.0)
(+ t_3 t_2)
(-
(+ (/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))) (+ t_1 1.0))
(+ (sqrt y) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((1.0 + x)) - sqrt(x);
double t_4 = (t_1 - sqrt(y)) + t_3;
double tmp;
if (t_4 <= 0.0) {
tmp = ((sqrt((1.0 / z)) + sqrt((1.0 / x))) * 0.5) + t_2;
} else if (t_4 <= 1.0) {
tmp = t_3 + t_2;
} else {
tmp = ((1.0 / (sqrt((z + 1.0)) + sqrt(z))) + (t_1 + 1.0)) - (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((y + 1.0d0))
t_2 = sqrt((t + 1.0d0)) - sqrt(t)
t_3 = sqrt((1.0d0 + x)) - sqrt(x)
t_4 = (t_1 - sqrt(y)) + t_3
if (t_4 <= 0.0d0) then
tmp = ((sqrt((1.0d0 / z)) + sqrt((1.0d0 / x))) * 0.5d0) + t_2
else if (t_4 <= 1.0d0) then
tmp = t_3 + t_2
else
tmp = ((1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z))) + (t_1 + 1.0d0)) - (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((y + 1.0));
double t_2 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_3 = Math.sqrt((1.0 + x)) - Math.sqrt(x);
double t_4 = (t_1 - Math.sqrt(y)) + t_3;
double tmp;
if (t_4 <= 0.0) {
tmp = ((Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / x))) * 0.5) + t_2;
} else if (t_4 <= 1.0) {
tmp = t_3 + t_2;
} else {
tmp = ((1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z))) + (t_1 + 1.0)) - (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((y + 1.0)) t_2 = math.sqrt((t + 1.0)) - math.sqrt(t) t_3 = math.sqrt((1.0 + x)) - math.sqrt(x) t_4 = (t_1 - math.sqrt(y)) + t_3 tmp = 0 if t_4 <= 0.0: tmp = ((math.sqrt((1.0 / z)) + math.sqrt((1.0 / x))) * 0.5) + t_2 elif t_4 <= 1.0: tmp = t_3 + t_2 else: tmp = ((1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z))) + (t_1 + 1.0)) - (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(y + 1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) t_4 = Float64(Float64(t_1 - sqrt(y)) + t_3) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / x))) * 0.5) + t_2); elseif (t_4 <= 1.0) tmp = Float64(t_3 + t_2); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z))) + Float64(t_1 + 1.0)) - Float64(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((y + 1.0));
t_2 = sqrt((t + 1.0)) - sqrt(t);
t_3 = sqrt((1.0 + x)) - sqrt(x);
t_4 = (t_1 - sqrt(y)) + t_3;
tmp = 0.0;
if (t_4 <= 0.0)
tmp = ((sqrt((1.0 / z)) + sqrt((1.0 / x))) * 0.5) + t_2;
elseif (t_4 <= 1.0)
tmp = t_3 + t_2;
else
tmp = ((1.0 / (sqrt((z + 1.0)) + sqrt(z))) + (t_1 + 1.0)) - (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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$4, 1.0], N[(t$95$3 + t$95$2), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{1 + x} - \sqrt{x}\\
t_4 := \left(t\_1 - \sqrt{y}\right) + t\_3\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{x}}\right) \cdot 0.5 + t\_2\\
\mathbf{elif}\;t\_4 \leq 1:\\
\;\;\;\;t\_3 + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{z + 1} + \sqrt{z}} + \left(t\_1 + 1\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.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))) < 0.0Initial program 74.4%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.6
Applied rewrites27.6%
Taylor expanded in y around inf
Applied rewrites26.7%
Taylor expanded in x around inf
Applied rewrites40.6%
if 0.0 < (+.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))) < 1Initial 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-+.f6497.5
Applied rewrites97.5%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6431.6
Applied rewrites31.6%
Taylor expanded in y around inf
Applied rewrites30.5%
if 1 < (+.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))) Initial program 95.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.9
Applied rewrites96.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites63.1%
Taylor expanded in x around 0
Applied rewrites55.7%
Final simplification39.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 x)) (sqrt x)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_1 0.0)
(+ t_3 (fma (sqrt (/ 1.0 x)) 0.5 (/ 1.0 (+ t_2 (sqrt y)))))
(+
(+
(/ (- (+ z 1.0) z) (+ (sqrt (+ z 1.0)) (sqrt z)))
(+ (- t_2 (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((1.0 + x)) - sqrt(x);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_1 <= 0.0) {
tmp = t_3 + fma(sqrt((1.0 / x)), 0.5, (1.0 / (t_2 + sqrt(y))));
} else {
tmp = ((((z + 1.0) - z) / (sqrt((z + 1.0)) + sqrt(z))) + ((t_2 - 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(1.0 + x)) - sqrt(x)) t_2 = sqrt(Float64(y + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_1 <= 0.0) tmp = Float64(t_3 + fma(sqrt(Float64(1.0 / x)), 0.5, Float64(1.0 / Float64(t_2 + sqrt(y))))); else tmp = Float64(Float64(Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(Float64(z + 1.0)) + sqrt(z))) + Float64(Float64(t_2 - 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[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.0], N[(t$95$3 + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$1), $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{1 + x} - \sqrt{x}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_1 \leq 0:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, \frac{1}{t\_2 + \sqrt{y}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\left(z + 1\right) - z}{\sqrt{z + 1} + \sqrt{z}} + \left(\left(t\_2 - \sqrt{y}\right) + t\_1\right)\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.0Initial program 87.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6488.3
Applied rewrites88.3%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6419.8
Applied rewrites19.8%
Taylor expanded in x around inf
Applied rewrites47.6%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 96.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.7
Applied rewrites96.7%
Final simplification73.1%
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 (+ y 1.0))))
(if (<=
(+
(- (sqrt (+ z 1.0)) (sqrt z))
(+ (- t_1 (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x))))
1.0)
(+ (- (* 0.5 x) (sqrt x)) 1.0)
(- (+ (fma 0.5 x t_1) 1.0) (+ (sqrt y) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double tmp;
if (((sqrt((z + 1.0)) - sqrt(z)) + ((t_1 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x)))) <= 1.0) {
tmp = ((0.5 * x) - sqrt(x)) + 1.0;
} else {
tmp = (fma(0.5, x, t_1) + 1.0) - (sqrt(y) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x)))) <= 1.0) tmp = Float64(Float64(Float64(0.5 * x) - sqrt(x)) + 1.0); else tmp = Float64(Float64(fma(0.5, x, t_1) + 1.0) - Float64(sqrt(y) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0], N[(N[(N[(0.5 * x), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(0.5 * x + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
\mathbf{if}\;\left(\sqrt{z + 1} - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\right) \leq 1:\\
\;\;\;\;\left(0.5 \cdot x - \sqrt{x}\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, t\_1\right) + 1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 86.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites3.8%
Taylor expanded in t around inf
Applied rewrites25.0%
Taylor expanded in y around inf
Applied rewrites21.4%
Taylor expanded in z around inf
Applied rewrites21.2%
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))) Initial program 96.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites15.5%
Taylor expanded in t around inf
Applied rewrites26.0%
Taylor expanded in z around inf
Applied rewrites19.3%
Final simplification20.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= z 5800000.0)
(- (+ (fma 0.5 x (sqrt (+ z 1.0))) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(+
(- (fma (+ (sqrt (/ 1.0 z)) x) 0.5 (sqrt (+ y 1.0))) (+ (sqrt y) (sqrt x)))
1.0)))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 5800000.0) {
tmp = (fma(0.5, x, sqrt((z + 1.0))) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = (fma((sqrt((1.0 / z)) + x), 0.5, sqrt((y + 1.0))) - (sqrt(y) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 5800000.0) tmp = Float64(Float64(fma(0.5, x, sqrt(Float64(z + 1.0))) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(Float64(fma(Float64(sqrt(Float64(1.0 / z)) + x), 0.5, sqrt(Float64(y + 1.0))) - Float64(sqrt(y) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[z, 5800000.0], N[(N[(N[(0.5 * x + N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + x), $MachinePrecision] * 0.5 + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 5800000:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, \sqrt{z + 1}\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}} + x, 0.5, \sqrt{y + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if z < 5.8e6Initial program 96.6%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites16.3%
Taylor expanded in t around inf
Applied rewrites23.6%
Taylor expanded in y around 0
Applied rewrites16.0%
if 5.8e6 < z Initial program 86.1%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites3.4%
Taylor expanded in t around inf
Applied rewrites27.9%
Taylor expanded in z around inf
Applied rewrites36.7%
Final simplification25.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= z 3.55e+15) (- (+ (fma 0.5 x (sqrt (+ z 1.0))) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) (+ (- (fma 0.5 x (sqrt (+ y 1.0))) (+ (sqrt y) (sqrt x))) 1.0)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 3.55e+15) {
tmp = (fma(0.5, x, sqrt((z + 1.0))) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x));
} else {
tmp = (fma(0.5, x, sqrt((y + 1.0))) - (sqrt(y) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 3.55e+15) tmp = Float64(Float64(fma(0.5, x, sqrt(Float64(z + 1.0))) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); else tmp = Float64(Float64(fma(0.5, x, sqrt(Float64(y + 1.0))) - Float64(sqrt(y) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[z, 3.55e+15], N[(N[(N[(0.5 * x + N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * x + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 3.55 \cdot 10^{+15}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, \sqrt{z + 1}\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, \sqrt{y + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if z < 3.55e15Initial program 95.9%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites16.0%
Taylor expanded in t around inf
Applied rewrites23.8%
Taylor expanded in y around 0
Applied rewrites16.1%
if 3.55e15 < z Initial program 86.6%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites3.4%
Taylor expanded in t around inf
Applied rewrites27.8%
Taylor expanded in z around inf
Applied rewrites36.1%
Final simplification24.8%
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 (+ y 1.0))) (+ (sqrt y) (sqrt x))) 1.0))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (fma(0.5, x, sqrt((y + 1.0))) - (sqrt(y) + sqrt(x))) + 1.0;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(fma(0.5, x, sqrt(Float64(y + 1.0))) - Float64(sqrt(y) + sqrt(x))) + 1.0) 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[(0.5 * x + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\mathsf{fma}\left(0.5, x, \sqrt{y + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1
\end{array}
Initial program 91.8%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites10.5%
Taylor expanded in t around inf
Applied rewrites25.6%
Taylor expanded in z around inf
Applied rewrites23.6%
Final simplification23.6%
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 x) (sqrt x)) 1.0))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return ((0.5 * x) - sqrt(x)) + 1.0;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = ((0.5d0 * x) - sqrt(x)) + 1.0d0
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return ((0.5 * x) - Math.sqrt(x)) + 1.0;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return ((0.5 * x) - math.sqrt(x)) + 1.0
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(Float64(0.5 * x) - sqrt(x)) + 1.0) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = ((0.5 * x) - sqrt(x)) + 1.0;
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[(0.5 * x), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(0.5 \cdot x - \sqrt{x}\right) + 1
\end{array}
Initial program 91.8%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites10.5%
Taylor expanded in t around inf
Applied rewrites25.6%
Taylor expanded in y around inf
Applied rewrites25.5%
Taylor expanded in z around inf
Applied rewrites17.4%
Final simplification17.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt x)) 1.0))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x) + 1.0;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x) + 1.0d0
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x) + 1.0;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x) + 1.0
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(x)) + 1.0) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x) + 1.0;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[((-N[Sqrt[x], $MachinePrecision]) + 1.0), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{x}\right) + 1
\end{array}
Initial program 91.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6491.9
Applied rewrites91.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites32.9%
Taylor expanded in x around inf
Applied rewrites15.3%
Final simplification15.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(-sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := (-N[Sqrt[x], $MachinePrecision])
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
-\sqrt{x}
\end{array}
Initial program 91.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6491.9
Applied rewrites91.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites32.9%
Taylor expanded in x around inf
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 2024243
(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))))