
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0)))
(t_2 (- t_1 (sqrt t)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (- t_3 (sqrt z)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (sqrt (+ x 1.0)))
(t_7 (+ (+ (- t_5 (sqrt y)) (- t_6 (sqrt x))) t_4)))
(if (<= t_7 0.998)
(+ (+ t_4 (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 (+ (sqrt x) t_6)))) t_2)
(if (<= t_7 2.0002)
(+
t_2
(-
(+ t_6 (fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ t_5 (sqrt y)))))
(sqrt x)))
(-
(+ (+ t_6 1.0) (+ t_3 (/ 1.0 (+ (sqrt t) t_1))))
(+ (sqrt x) (+ (sqrt y) (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = t_1 - sqrt(t);
double t_3 = sqrt((z + 1.0));
double t_4 = t_3 - sqrt(z);
double t_5 = sqrt((y + 1.0));
double t_6 = sqrt((x + 1.0));
double t_7 = ((t_5 - sqrt(y)) + (t_6 - sqrt(x))) + t_4;
double tmp;
if (t_7 <= 0.998) {
tmp = (t_4 + fma(0.5, sqrt((1.0 / y)), (1.0 / (sqrt(x) + t_6)))) + t_2;
} else if (t_7 <= 2.0002) {
tmp = t_2 + ((t_6 + fma(0.5, sqrt((1.0 / z)), (1.0 / (t_5 + sqrt(y))))) - sqrt(x));
} else {
tmp = ((t_6 + 1.0) + (t_3 + (1.0 / (sqrt(t) + t_1)))) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = Float64(t_1 - sqrt(t)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(t_3 - sqrt(z)) t_5 = sqrt(Float64(y + 1.0)) t_6 = sqrt(Float64(x + 1.0)) t_7 = Float64(Float64(Float64(t_5 - sqrt(y)) + Float64(t_6 - sqrt(x))) + t_4) tmp = 0.0 if (t_7 <= 0.998) tmp = Float64(Float64(t_4 + fma(0.5, sqrt(Float64(1.0 / y)), Float64(1.0 / Float64(sqrt(x) + t_6)))) + t_2); elseif (t_7 <= 2.0002) tmp = Float64(t_2 + Float64(Float64(t_6 + fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(t_5 + sqrt(y))))) - sqrt(x))); else tmp = Float64(Float64(Float64(t_6 + 1.0) + Float64(t_3 + Float64(1.0 / Float64(sqrt(t) + t_1)))) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$6 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$7, 0.998], N[(N[(t$95$4 + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$7, 2.0002], N[(t$95$2 + N[(N[(t$95$6 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$6 + 1.0), $MachinePrecision] + N[(t$95$3 + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1}\\
t_2 := t\_1 - \sqrt{t}\\
t_3 := \sqrt{z + 1}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \sqrt{y + 1}\\
t_6 := \sqrt{x + 1}\\
t_7 := \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_6 - \sqrt{x}\right)\right) + t\_4\\
\mathbf{if}\;t\_7 \leq 0.998:\\
\;\;\;\;\left(t\_4 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{1}{\sqrt{x} + t\_6}\right)\right) + t\_2\\
\mathbf{elif}\;t\_7 \leq 2.0002:\\
\;\;\;\;t\_2 + \left(\left(t\_6 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{t\_5 + \sqrt{y}}\right)\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_6 + 1\right) + \left(t\_3 + \frac{1}{\sqrt{t} + t\_1}\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.998Initial program 60.6%
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
lower-+.f6462.2
Applied rewrites62.2%
Taylor expanded in y around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6475.8
Applied rewrites75.8%
if 0.998 < (+.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 96.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6451.3
Applied rewrites51.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6451.4
lift-+.f64N/A
+-commutativeN/A
lift-+.f6451.4
Applied rewrites51.4%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6445.7
Applied rewrites45.7%
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 99.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6499.0
Applied rewrites99.0%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Taylor expanded in y around 0
lower--.f64N/A
Applied rewrites99.9%
Final simplification55.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ (- t_3 (sqrt y)) (- t_4 (sqrt x))) t_2)))
(if (<= t_5 0.0)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_5 1.0068)
(fma (- (+ x 1.0) x) (/ 1.0 (+ (sqrt x) t_4)) (/ 1.0 (+ t_3 (sqrt y))))
(if (<= t_5 2.99)
(- (+ (/ 1.0 (+ t_1 (sqrt z))) (+ t_4 t_3)) (+ (sqrt x) (sqrt y)))
(+
(- (sqrt (+ t 1.0)) (sqrt t))
(+ t_2 (+ (fma x 0.5 (- 1.0 (sqrt x))) (- 1.0 (sqrt y))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((x + 1.0));
double t_5 = ((t_3 - sqrt(y)) + (t_4 - sqrt(x))) + t_2;
double tmp;
if (t_5 <= 0.0) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_5 <= 1.0068) {
tmp = fma(((x + 1.0) - x), (1.0 / (sqrt(x) + t_4)), (1.0 / (t_3 + sqrt(y))));
} else if (t_5 <= 2.99) {
tmp = ((1.0 / (t_1 + sqrt(z))) + (t_4 + t_3)) - (sqrt(x) + sqrt(y));
} else {
tmp = (sqrt((t + 1.0)) - sqrt(t)) + (t_2 + (fma(x, 0.5, (1.0 - sqrt(x))) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_4 - sqrt(x))) + t_2) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_5 <= 1.0068) tmp = fma(Float64(Float64(x + 1.0) - x), Float64(1.0 / Float64(sqrt(x) + t_4)), Float64(1.0 / Float64(t_3 + sqrt(y)))); elseif (t_5 <= 2.99) tmp = Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(z))) + Float64(t_4 + t_3)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) + Float64(t_2 + Float64(fma(x, 0.5, Float64(1.0 - sqrt(x))) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$5, 1.0068], N[(N[(N[(x + 1.0), $MachinePrecision] - x), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(t$95$3 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.99], N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$4 + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[(x * 0.5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_4 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_5 \leq 1.0068:\\
\;\;\;\;\mathsf{fma}\left(\left(x + 1\right) - x, \frac{1}{\sqrt{x} + t\_4}, \frac{1}{t\_3 + \sqrt{y}}\right)\\
\mathbf{elif}\;t\_5 \leq 2.99:\\
\;\;\;\;\left(\frac{1}{t\_1 + \sqrt{z}} + \left(t\_4 + t\_3\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{t + 1} - \sqrt{t}\right) + \left(t\_2 + \left(\mathsf{fma}\left(x, 0.5, 1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 56.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.1%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites16.5%
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))) < 1.00679999999999992Initial program 93.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.7
Applied rewrites4.7%
Taylor expanded in z around inf
Applied rewrites22.3%
Applied rewrites27.8%
Applied rewrites38.5%
if 1.00679999999999992 < (+.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))) < 2.9900000000000002Initial program 96.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.1
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
Taylor expanded in y around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6430.7
Applied rewrites30.7%
Taylor expanded in x around inf
Applied rewrites10.6%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.4%
if 2.9900000000000002 < (+.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 99.4%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6499.4
Applied rewrites99.4%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6499.3
Applied rewrites99.3%
Final simplification41.3%
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 (- t_1 (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ (- t_3 (sqrt y)) (- t_4 (sqrt x))) t_2)))
(if (<= t_5 0.0)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_5 1.0068)
(fma (- (+ x 1.0) x) (/ 1.0 (+ (sqrt x) t_4)) (/ 1.0 (+ t_3 (sqrt y))))
(if (<= t_5 2.99)
(+ t_4 (- (+ t_3 (/ 1.0 (+ t_1 (sqrt z)))) (+ (sqrt x) (sqrt y))))
(+
(- (sqrt (+ t 1.0)) (sqrt t))
(+ t_2 (+ (fma x 0.5 (- 1.0 (sqrt x))) (- 1.0 (sqrt y))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((x + 1.0));
double t_5 = ((t_3 - sqrt(y)) + (t_4 - sqrt(x))) + t_2;
double tmp;
if (t_5 <= 0.0) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_5 <= 1.0068) {
tmp = fma(((x + 1.0) - x), (1.0 / (sqrt(x) + t_4)), (1.0 / (t_3 + sqrt(y))));
} else if (t_5 <= 2.99) {
tmp = t_4 + ((t_3 + (1.0 / (t_1 + sqrt(z)))) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((t + 1.0)) - sqrt(t)) + (t_2 + (fma(x, 0.5, (1.0 - sqrt(x))) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_4 - sqrt(x))) + t_2) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_5 <= 1.0068) tmp = fma(Float64(Float64(x + 1.0) - x), Float64(1.0 / Float64(sqrt(x) + t_4)), Float64(1.0 / Float64(t_3 + sqrt(y)))); elseif (t_5 <= 2.99) tmp = Float64(t_4 + Float64(Float64(t_3 + Float64(1.0 / Float64(t_1 + sqrt(z)))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) + Float64(t_2 + Float64(fma(x, 0.5, Float64(1.0 - sqrt(x))) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$5, 1.0068], N[(N[(N[(x + 1.0), $MachinePrecision] - x), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(t$95$3 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.99], N[(t$95$4 + N[(N[(t$95$3 + N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[(x * 0.5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_4 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_5 \leq 1.0068:\\
\;\;\;\;\mathsf{fma}\left(\left(x + 1\right) - x, \frac{1}{\sqrt{x} + t\_4}, \frac{1}{t\_3 + \sqrt{y}}\right)\\
\mathbf{elif}\;t\_5 \leq 2.99:\\
\;\;\;\;t\_4 + \left(\left(t\_3 + \frac{1}{t\_1 + \sqrt{z}}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{t + 1} - \sqrt{t}\right) + \left(t\_2 + \left(\mathsf{fma}\left(x, 0.5, 1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 56.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.1%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites16.5%
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))) < 1.00679999999999992Initial program 93.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.7
Applied rewrites4.7%
Taylor expanded in z around inf
Applied rewrites22.3%
Applied rewrites27.8%
Applied rewrites38.5%
if 1.00679999999999992 < (+.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))) < 2.9900000000000002Initial program 96.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.1
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6433.1
Applied rewrites33.1%
if 2.9900000000000002 < (+.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 99.4%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6499.4
Applied rewrites99.4%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6499.3
Applied rewrites99.3%
Final simplification42.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ t 1.0)))
(t_4 (- t_3 (sqrt t)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ (- t_2 (sqrt y)) (- t_5 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_6 1e-6)
(+
t_4
(fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 x))) (/ 1.0 (+ t_1 (sqrt z)))))
(if (<= t_6 2.0002)
(+
t_4
(-
(+ t_5 (fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ t_2 (sqrt y)))))
(sqrt x)))
(-
(+ (+ t_5 1.0) (+ t_1 (/ 1.0 (+ (sqrt t) t_3))))
(+ (sqrt x) (+ (sqrt y) (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((t + 1.0));
double t_4 = t_3 - sqrt(t);
double t_5 = sqrt((x + 1.0));
double t_6 = ((t_2 - sqrt(y)) + (t_5 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_6 <= 1e-6) {
tmp = t_4 + fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / x))), (1.0 / (t_1 + sqrt(z))));
} else if (t_6 <= 2.0002) {
tmp = t_4 + ((t_5 + fma(0.5, sqrt((1.0 / z)), (1.0 / (t_2 + sqrt(y))))) - sqrt(x));
} else {
tmp = ((t_5 + 1.0) + (t_1 + (1.0 / (sqrt(t) + t_3)))) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(t + 1.0)) t_4 = Float64(t_3 - sqrt(t)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_5 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_6 <= 1e-6) tmp = Float64(t_4 + fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / x))), Float64(1.0 / Float64(t_1 + sqrt(z))))); elseif (t_6 <= 2.0002) tmp = Float64(t_4 + Float64(Float64(t_5 + fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(t_2 + sqrt(y))))) - sqrt(x))); else tmp = Float64(Float64(Float64(t_5 + 1.0) + Float64(t_1 + Float64(1.0 / Float64(sqrt(t) + t_3)))) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1e-6], N[(t$95$4 + N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(t$95$4 + N[(N[(t$95$5 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{t + 1}\\
t_4 := t\_3 - \sqrt{t}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_5 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_6 \leq 10^{-6}:\\
\;\;\;\;t\_4 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}}, \frac{1}{t\_1 + \sqrt{z}}\right)\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;t\_4 + \left(\left(t\_5 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{t\_2 + \sqrt{y}}\right)\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_5 + 1\right) + \left(t\_1 + \frac{1}{\sqrt{t} + t\_3}\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 9.99999999999999955e-7Initial program 54.4%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6454.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6454.4
Applied rewrites54.4%
Taylor expanded in y around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6453.5
Applied rewrites53.5%
Taylor expanded in x around inf
Applied rewrites86.2%
if 9.99999999999999955e-7 < (+.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 95.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6450.0
Applied rewrites50.0%
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
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6450.2
lift-+.f64N/A
+-commutativeN/A
lift-+.f6450.2
Applied rewrites50.2%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6446.0
Applied rewrites46.0%
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 99.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6499.0
Applied rewrites99.0%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Taylor expanded in y around 0
lower--.f64N/A
Applied rewrites99.9%
Final simplification56.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ y 1.0)))
(t_3
(+
(+
(+ (- t_2 (sqrt y)) (- t_1 (sqrt x)))
(- (sqrt (+ z 1.0)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))))
(if (<= t_3 1e-6)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_3 1.001)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(- (- (+ t_1 t_2) (sqrt y)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((y + 1.0));
double t_3 = (((t_2 - sqrt(y)) + (t_1 - sqrt(x))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double tmp;
if (t_3 <= 1e-6) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_3 <= 1.001) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else {
tmp = ((t_1 + t_2) - 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(x + 1.0)) t_2 = sqrt(Float64(y + 1.0)) t_3 = Float64(Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_1 - sqrt(x))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) tmp = 0.0 if (t_3 <= 1e-6) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_3 <= 1.001) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); else tmp = Float64(Float64(Float64(t_1 + t_2) - 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $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]}, If[LessEqual[t$95$3, 1e-6], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$3, 1.001], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{y + 1}\\
t_3 := \left(\left(\left(t\_2 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{if}\;t\_3 \leq 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_3 \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 + t\_2\right) - \sqrt{y}\right) - \sqrt{x}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.99999999999999955e-7Initial program 8.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.1
Applied rewrites4.1%
Taylor expanded in z around inf
Applied rewrites4.8%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites26.0%
if 9.99999999999999955e-7 < (+.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))) < 1.0009999999999999Initial program 94.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.5
Applied rewrites4.5%
Taylor expanded in z around inf
Applied rewrites27.9%
Taylor expanded in y around inf
Applied rewrites30.5%
if 1.0009999999999999 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 96.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.7
Applied rewrites23.7%
Taylor expanded in z around inf
Applied rewrites23.6%
Applied rewrites19.9%
Final simplification22.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ (- t_3 (sqrt y)) (- t_5 (sqrt x))) t_2)))
(if (<= t_6 1.0)
(+ (- t_4 (sqrt t)) (+ t_2 (/ 1.0 (+ (sqrt x) t_5))))
(if (<= t_6 2.05)
(- (+ (/ 1.0 (+ t_1 (sqrt z))) (+ t_5 t_3)) (+ (sqrt x) (sqrt y)))
(-
(+ (+ t_5 1.0) (+ t_1 (/ 1.0 (+ (sqrt t) t_4))))
(+ (sqrt x) (+ (sqrt y) (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((t + 1.0));
double t_5 = sqrt((x + 1.0));
double t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
double tmp;
if (t_6 <= 1.0) {
tmp = (t_4 - sqrt(t)) + (t_2 + (1.0 / (sqrt(x) + t_5)));
} else if (t_6 <= 2.05) {
tmp = ((1.0 / (t_1 + sqrt(z))) + (t_5 + t_3)) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_5 + 1.0) + (t_1 + (1.0 / (sqrt(t) + t_4)))) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = t_1 - sqrt(z)
t_3 = sqrt((y + 1.0d0))
t_4 = sqrt((t + 1.0d0))
t_5 = sqrt((x + 1.0d0))
t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2
if (t_6 <= 1.0d0) then
tmp = (t_4 - sqrt(t)) + (t_2 + (1.0d0 / (sqrt(x) + t_5)))
else if (t_6 <= 2.05d0) then
tmp = ((1.0d0 / (t_1 + sqrt(z))) + (t_5 + t_3)) - (sqrt(x) + sqrt(y))
else
tmp = ((t_5 + 1.0d0) + (t_1 + (1.0d0 / (sqrt(t) + t_4)))) - (sqrt(x) + (sqrt(y) + sqrt(z)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt((y + 1.0));
double t_4 = Math.sqrt((t + 1.0));
double t_5 = Math.sqrt((x + 1.0));
double t_6 = ((t_3 - Math.sqrt(y)) + (t_5 - Math.sqrt(x))) + t_2;
double tmp;
if (t_6 <= 1.0) {
tmp = (t_4 - Math.sqrt(t)) + (t_2 + (1.0 / (Math.sqrt(x) + t_5)));
} else if (t_6 <= 2.05) {
tmp = ((1.0 / (t_1 + Math.sqrt(z))) + (t_5 + t_3)) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = ((t_5 + 1.0) + (t_1 + (1.0 / (Math.sqrt(t) + t_4)))) - (Math.sqrt(x) + (Math.sqrt(y) + Math.sqrt(z)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt((y + 1.0)) t_4 = math.sqrt((t + 1.0)) t_5 = math.sqrt((x + 1.0)) t_6 = ((t_3 - math.sqrt(y)) + (t_5 - math.sqrt(x))) + t_2 tmp = 0 if t_6 <= 1.0: tmp = (t_4 - math.sqrt(t)) + (t_2 + (1.0 / (math.sqrt(x) + t_5))) elif t_6 <= 2.05: tmp = ((1.0 / (t_1 + math.sqrt(z))) + (t_5 + t_3)) - (math.sqrt(x) + math.sqrt(y)) else: tmp = ((t_5 + 1.0) + (t_1 + (1.0 / (math.sqrt(t) + t_4)))) - (math.sqrt(x) + (math.sqrt(y) + math.sqrt(z))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(t + 1.0)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_5 - sqrt(x))) + t_2) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(t_4 - sqrt(t)) + Float64(t_2 + Float64(1.0 / Float64(sqrt(x) + t_5)))); elseif (t_6 <= 2.05) tmp = Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(z))) + Float64(t_5 + t_3)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_5 + 1.0) + Float64(t_1 + Float64(1.0 / Float64(sqrt(t) + t_4)))) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = t_1 - sqrt(z);
t_3 = sqrt((y + 1.0));
t_4 = sqrt((t + 1.0));
t_5 = sqrt((x + 1.0));
t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
tmp = 0.0;
if (t_6 <= 1.0)
tmp = (t_4 - sqrt(t)) + (t_2 + (1.0 / (sqrt(x) + t_5)));
elseif (t_6 <= 2.05)
tmp = ((1.0 / (t_1 + sqrt(z))) + (t_5 + t_3)) - (sqrt(x) + sqrt(y));
else
tmp = ((t_5 + 1.0) + (t_1 + (1.0 / (sqrt(t) + t_4)))) - (sqrt(x) + (sqrt(y) + sqrt(z)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.05], N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$5 + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{t + 1}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_5 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(t\_4 - \sqrt{t}\right) + \left(t\_2 + \frac{1}{\sqrt{x} + t\_5}\right)\\
\mathbf{elif}\;t\_6 \leq 2.05:\\
\;\;\;\;\left(\frac{1}{t\_1 + \sqrt{z}} + \left(t\_5 + t\_3\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_5 + 1\right) + \left(t\_1 + \frac{1}{\sqrt{t} + t\_4}\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 88.4%
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
lower-+.f6488.8
Applied rewrites88.8%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6469.9
Applied rewrites69.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0499999999999998Initial program 95.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.5
Applied rewrites96.5%
Taylor expanded in y around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6432.0
Applied rewrites32.0%
Taylor expanded in x around inf
Applied rewrites12.4%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.8%
if 2.0499999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6499.0
Applied rewrites99.0%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Taylor expanded in y around 0
lower--.f64N/A
Applied rewrites99.9%
Final simplification56.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ (- t_3 (sqrt y)) (- t_5 (sqrt x))) t_2)))
(if (<= t_6 1.0)
(+ (- t_4 (sqrt t)) (+ t_2 (/ 1.0 (+ (sqrt x) t_5))))
(if (<= t_6 2.99)
(- (+ (/ 1.0 (+ t_1 (sqrt z))) (+ t_5 t_3)) (+ (sqrt x) (sqrt y)))
(+
(+ t_2 (+ (fma x 0.5 (- 1.0 (sqrt x))) (- 1.0 (sqrt y))))
(/ (- (+ t 1.0) t) (+ (sqrt t) t_4)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((t + 1.0));
double t_5 = sqrt((x + 1.0));
double t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
double tmp;
if (t_6 <= 1.0) {
tmp = (t_4 - sqrt(t)) + (t_2 + (1.0 / (sqrt(x) + t_5)));
} else if (t_6 <= 2.99) {
tmp = ((1.0 / (t_1 + sqrt(z))) + (t_5 + t_3)) - (sqrt(x) + sqrt(y));
} else {
tmp = (t_2 + (fma(x, 0.5, (1.0 - sqrt(x))) + (1.0 - sqrt(y)))) + (((t + 1.0) - t) / (sqrt(t) + t_4));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(t + 1.0)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_5 - sqrt(x))) + t_2) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(t_4 - sqrt(t)) + Float64(t_2 + Float64(1.0 / Float64(sqrt(x) + t_5)))); elseif (t_6 <= 2.99) tmp = Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(z))) + Float64(t_5 + t_3)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(t_2 + Float64(fma(x, 0.5, Float64(1.0 - sqrt(x))) + Float64(1.0 - sqrt(y)))) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_4))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.99], N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$5 + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + N[(N[(x * 0.5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{t + 1}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_5 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(t\_4 - \sqrt{t}\right) + \left(t\_2 + \frac{1}{\sqrt{x} + t\_5}\right)\\
\mathbf{elif}\;t\_6 \leq 2.99:\\
\;\;\;\;\left(\frac{1}{t\_1 + \sqrt{z}} + \left(t\_5 + t\_3\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + \left(\mathsf{fma}\left(x, 0.5, 1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_4}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 88.4%
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
lower-+.f6488.8
Applied rewrites88.8%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6469.9
Applied rewrites69.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.9900000000000002Initial program 95.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.4
Applied rewrites96.4%
Taylor expanded in y around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6431.7
Applied rewrites31.7%
Taylor expanded in x around inf
Applied rewrites12.4%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.3%
if 2.9900000000000002 < (+.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 99.4%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6499.4
Applied rewrites99.4%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.4
Applied rewrites99.4%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6499.3
Applied rewrites99.3%
Final simplification56.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (+ (- t_4 (sqrt y)) (- t_3 (sqrt x))) t_2))
(t_6 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_5 1.0)
(+ t_6 (+ t_2 (/ 1.0 (+ (sqrt x) t_3))))
(if (<= t_5 2.99)
(- (+ (/ 1.0 (+ t_1 (sqrt z))) (+ t_3 t_4)) (+ (sqrt x) (sqrt y)))
(+ t_6 (+ t_2 (+ (fma x 0.5 (- 1.0 (sqrt x))) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((y + 1.0));
double t_5 = ((t_4 - sqrt(y)) + (t_3 - sqrt(x))) + t_2;
double t_6 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_5 <= 1.0) {
tmp = t_6 + (t_2 + (1.0 / (sqrt(x) + t_3)));
} else if (t_5 <= 2.99) {
tmp = ((1.0 / (t_1 + sqrt(z))) + (t_3 + t_4)) - (sqrt(x) + sqrt(y));
} else {
tmp = t_6 + (t_2 + (fma(x, 0.5, (1.0 - sqrt(x))) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(t_4 - sqrt(y)) + Float64(t_3 - sqrt(x))) + t_2) t_6 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(t_6 + Float64(t_2 + Float64(1.0 / Float64(sqrt(x) + t_3)))); elseif (t_5 <= 2.99) tmp = Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(z))) + Float64(t_3 + t_4)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(t_6 + Float64(t_2 + Float64(fma(x, 0.5, Float64(1.0 - sqrt(x))) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(t$95$6 + N[(t$95$2 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.99], N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + t$95$4), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$6 + N[(t$95$2 + N[(N[(x * 0.5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + t\_2\\
t_6 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;t\_6 + \left(t\_2 + \frac{1}{\sqrt{x} + t\_3}\right)\\
\mathbf{elif}\;t\_5 \leq 2.99:\\
\;\;\;\;\left(\frac{1}{t\_1 + \sqrt{z}} + \left(t\_3 + t\_4\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6 + \left(t\_2 + \left(\mathsf{fma}\left(x, 0.5, 1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 88.4%
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
lower-+.f6488.8
Applied rewrites88.8%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6469.9
Applied rewrites69.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.9900000000000002Initial program 95.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.4
Applied rewrites96.4%
Taylor expanded in y around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6431.7
Applied rewrites31.7%
Taylor expanded in x around inf
Applied rewrites12.4%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.3%
if 2.9900000000000002 < (+.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 99.4%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6499.4
Applied rewrites99.4%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6499.3
Applied rewrites99.3%
Final simplification56.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) t_1)))
(if (<= t_4 0.0)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 1.99999999999)
(fma (- (+ x 1.0) x) (/ 1.0 (+ (sqrt x) t_3)) (/ 1.0 (+ t_2 (sqrt y))))
(+
(- (sqrt (+ t 1.0)) (sqrt t))
(+ t_1 (+ (fma x 0.5 (- 1.0 (sqrt x))) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + t_1;
double tmp;
if (t_4 <= 0.0) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 1.99999999999) {
tmp = fma(((x + 1.0) - x), (1.0 / (sqrt(x) + t_3)), (1.0 / (t_2 + sqrt(y))));
} else {
tmp = (sqrt((t + 1.0)) - sqrt(t)) + (t_1 + (fma(x, 0.5, (1.0 - sqrt(x))) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + t_1) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 1.99999999999) tmp = fma(Float64(Float64(x + 1.0) - x), Float64(1.0 / Float64(sqrt(x) + t_3)), Float64(1.0 / Float64(t_2 + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) + Float64(t_1 + Float64(fma(x, 0.5, Float64(1.0 - sqrt(x))) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 1.99999999999], N[(N[(N[(x + 1.0), $MachinePrecision] - x), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[(x * 0.5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + t\_1\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 1.99999999999:\\
\;\;\;\;\mathsf{fma}\left(\left(x + 1\right) - x, \frac{1}{\sqrt{x} + t\_3}, \frac{1}{t\_2 + \sqrt{y}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{t + 1} - \sqrt{t}\right) + \left(t\_1 + \left(\mathsf{fma}\left(x, 0.5, 1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 56.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.1%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites16.5%
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))) < 1.99999999999Initial program 93.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.5
Applied rewrites5.5%
Taylor expanded in z around inf
Applied rewrites23.7%
Applied rewrites28.2%
Applied rewrites37.8%
if 1.99999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.9%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6475.5
Applied rewrites75.5%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6458.6
Applied rewrites58.6%
Final simplification45.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_4 0.0)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 2.0)
(fma (- (+ x 1.0) x) (/ 1.0 (+ (sqrt x) t_3)) (/ 1.0 (+ t_2 (sqrt y))))
(+
(+ (fma y 0.5 t_1) 1.0)
(- t_3 (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 0.0) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 2.0) {
tmp = fma(((x + 1.0) - x), (1.0 / (sqrt(x) + t_3)), (1.0 / (t_2 + sqrt(y))));
} else {
tmp = (fma(y, 0.5, t_1) + 1.0) + (t_3 - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 2.0) tmp = fma(Float64(Float64(x + 1.0) - x), Float64(1.0 / Float64(sqrt(x) + t_3)), Float64(1.0 / Float64(t_2 + sqrt(y)))); else tmp = Float64(Float64(fma(y, 0.5, t_1) + 1.0) + Float64(t_3 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(N[(x + 1.0), $MachinePrecision] - x), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(y * 0.5 + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision] + N[(t$95$3 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\mathsf{fma}\left(\left(x + 1\right) - x, \frac{1}{\sqrt{x} + t\_3}, \frac{1}{t\_2 + \sqrt{y}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(y, 0.5, t\_1\right) + 1\right) + \left(t\_3 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 56.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.1%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites16.5%
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 95.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.2
Applied rewrites12.2%
Taylor expanded in z around inf
Applied rewrites26.2%
Applied rewrites30.2%
Applied rewrites37.0%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6461.9
Applied rewrites61.9%
Taylor expanded in y around 0
Applied rewrites61.9%
Final simplification38.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- t_3 (sqrt x)))
(t_5 (+ (+ (- t_2 (sqrt y)) t_4) (- t_1 (sqrt z)))))
(if (<= t_5 1e-6)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_5 2.0)
(+ (/ 1.0 (+ t_2 (sqrt y))) t_4)
(+
(+ (fma y 0.5 t_1) 1.0)
(- t_3 (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = t_3 - sqrt(x);
double t_5 = ((t_2 - sqrt(y)) + t_4) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1e-6) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_5 <= 2.0) {
tmp = (1.0 / (t_2 + sqrt(y))) + t_4;
} else {
tmp = (fma(y, 0.5, t_1) + 1.0) + (t_3 - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_3 - sqrt(x)) t_5 = Float64(Float64(Float64(t_2 - sqrt(y)) + t_4) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1e-6) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_5 <= 2.0) tmp = Float64(Float64(1.0 / Float64(t_2 + sqrt(y))) + t_4); else tmp = Float64(Float64(fma(y, 0.5, t_1) + 1.0) + Float64(t_3 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1e-6], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(y * 0.5 + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision] + N[(t$95$3 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_3 - \sqrt{x}\\
t_5 := \left(\left(t\_2 - \sqrt{y}\right) + t\_4\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\frac{1}{t\_2 + \sqrt{y}} + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(y, 0.5, t\_1\right) + 1\right) + \left(t\_3 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 9.99999999999999955e-7Initial program 54.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.0%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites16.2%
if 9.99999999999999955e-7 < (+.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 95.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.2
Applied rewrites12.2%
Taylor expanded in z around inf
Applied rewrites26.3%
Applied rewrites29.9%
Applied rewrites36.5%
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 98.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6461.9
Applied rewrites61.9%
Taylor expanded in y around 0
Applied rewrites61.9%
Final simplification38.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_4 (+ (+ (- t_2 (sqrt y)) t_3) (- t_1 (sqrt z)))))
(if (<= t_4 1e-6)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 2.0)
(+ (/ 1.0 (+ t_2 (sqrt y))) t_3)
(- (+ (+ t_2 t_1) 1.0) (+ (+ (sqrt x) (sqrt y)) (sqrt z)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0)) - sqrt(x);
double t_4 = ((t_2 - sqrt(y)) + t_3) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1e-6) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 2.0) {
tmp = (1.0 / (t_2 + sqrt(y))) + t_3;
} else {
tmp = ((t_2 + t_1) + 1.0) - ((sqrt(x) + sqrt(y)) + sqrt(z));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(y + 1.0)) t_3 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + t_3) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1e-6) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 2.0) tmp = Float64(Float64(1.0 / Float64(t_2 + sqrt(y))) + t_3); else tmp = Float64(Float64(Float64(t_2 + t_1) + 1.0) - Float64(Float64(sqrt(x) + sqrt(y)) + sqrt(z))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1e-6], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$1), $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{x + 1} - \sqrt{x}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + t\_3\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\frac{1}{t\_2 + \sqrt{y}} + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_1\right) + 1\right) - \left(\left(\sqrt{x} + \sqrt{y}\right) + \sqrt{z}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 9.99999999999999955e-7Initial program 54.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.0%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites16.2%
if 9.99999999999999955e-7 < (+.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 95.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.2
Applied rewrites12.2%
Taylor expanded in z around inf
Applied rewrites26.3%
Applied rewrites29.9%
Applied rewrites36.5%
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 98.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6461.9
Applied rewrites61.9%
Taylor expanded in z around inf
Applied rewrites20.6%
Taylor expanded in x around 0
Applied rewrites61.9%
Final simplification38.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_4 (+ (+ (- t_2 (sqrt y)) t_3) (- t_1 (sqrt z)))))
(if (<= t_4 1e-6)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_4 2.0)
(+ (/ 1.0 (+ t_2 (sqrt y))) t_3)
(+ (- (+ t_2 t_1) (+ (sqrt x) (+ (sqrt y) (sqrt z)))) 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((y + 1.0));
double t_3 = sqrt((x + 1.0)) - sqrt(x);
double t_4 = ((t_2 - sqrt(y)) + t_3) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1e-6) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_4 <= 2.0) {
tmp = (1.0 / (t_2 + sqrt(y))) + t_3;
} else {
tmp = ((t_2 + t_1) - (sqrt(x) + (sqrt(y) + sqrt(z)))) + 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(y + 1.0)) t_3 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + t_3) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1e-6) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_4 <= 2.0) tmp = Float64(Float64(1.0 / Float64(t_2 + sqrt(y))) + t_3); else tmp = Float64(Float64(Float64(t_2 + t_1) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))) + 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1e-6], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(1.0 / N[(t$95$2 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $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{y + 1}\\
t_3 := \sqrt{x + 1} - \sqrt{x}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + t\_3\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\frac{1}{t\_2 + \sqrt{y}} + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_1\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\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))) < 9.99999999999999955e-7Initial program 54.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites5.0%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites16.2%
if 9.99999999999999955e-7 < (+.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 95.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.2
Applied rewrites12.2%
Taylor expanded in z around inf
Applied rewrites26.3%
Applied rewrites29.9%
Applied rewrites36.5%
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 98.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6461.9
Applied rewrites61.9%
Taylor expanded in x around 0
Applied rewrites61.9%
Final simplification38.4%
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 (+ x 1.0)) (sqrt x))))
(if (<=
(+
(+ (+ (- t_1 (sqrt y)) t_2) (- (sqrt (+ z 1.0)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))
1e-6)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(+ (/ 1.0 (+ t_1 (sqrt y))) t_2))))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((x + 1.0)) - sqrt(x);
double tmp;
if (((((t_1 - sqrt(y)) + t_2) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t))) <= 1e-6) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else {
tmp = (1.0 / (t_1 + sqrt(y))) + t_2;
}
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(x + 1.0)) - sqrt(x)) tmp = 0.0 if (Float64(Float64(Float64(Float64(t_1 - sqrt(y)) + t_2) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) <= 1e-6) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); else tmp = Float64(Float64(1.0 / Float64(t_1 + sqrt(y))) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$2), $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], 1e-6], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], N[(N[(1.0 / N[(t$95$1 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{x + 1} - \sqrt{x}\\
\mathbf{if}\;\left(\left(\left(t\_1 - \sqrt{y}\right) + t\_2\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right) \leq 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{t\_1 + \sqrt{y}} + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 9.99999999999999955e-7Initial program 8.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.1
Applied rewrites4.1%
Taylor expanded in z around inf
Applied rewrites4.8%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites26.0%
if 9.99999999999999955e-7 < (+.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 96.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.0
Applied rewrites19.0%
Taylor expanded in z around inf
Applied rewrites24.7%
Applied rewrites27.4%
Applied rewrites33.0%
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 (+ x 1.0)))
(t_3 (+ (- t_1 (sqrt y)) (- t_2 (sqrt x)))))
(if (<= t_3 1e-6)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_3 1.001)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_2) (sqrt x))
(+ (+ t_1 1.0) (/ y (- (sqrt x) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = (t_1 - sqrt(y)) + (t_2 - sqrt(x));
double tmp;
if (t_3 <= 1e-6) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_3 <= 1.001) {
tmp = fma(0.5, sqrt((1.0 / y)), t_2) - sqrt(x);
} else {
tmp = (t_1 + 1.0) + (y / (sqrt(x) - sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x))) tmp = 0.0 if (t_3 <= 1e-6) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_3 <= 1.001) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_2) - sqrt(x)); else tmp = Float64(Float64(t_1 + 1.0) + Float64(y / Float64(sqrt(x) - sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 1e-6], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$3, 1.001], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(y / N[(N[Sqrt[x], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\\
\mathbf{if}\;t\_3 \leq 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_3 \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_2\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) + \frac{y}{\sqrt{x} - \sqrt{y}}\\
\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))) < 9.99999999999999955e-7Initial program 79.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.0
Applied rewrites5.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites10.3%
if 9.99999999999999955e-7 < (+.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))) < 1.0009999999999999Initial program 96.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.4
Applied rewrites16.4%
Taylor expanded in z around inf
Applied rewrites20.1%
Taylor expanded in y around inf
Applied rewrites22.0%
if 1.0009999999999999 < (+.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 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6430.6
Applied rewrites30.6%
Taylor expanded in z around inf
Applied rewrites42.7%
Applied rewrites42.7%
Taylor expanded in x around 0
Applied rewrites40.7%
Final simplification25.3%
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 (+ y 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ (- t_1 (sqrt y)) (- t_2 (sqrt x)))))
(if (<= t_3 1e-6)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(if (<= t_3 1.001)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_2) (sqrt x))
(+ 1.0 (- t_1 (+ (sqrt x) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = (t_1 - sqrt(y)) + (t_2 - sqrt(x));
double tmp;
if (t_3 <= 1e-6) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else if (t_3 <= 1.001) {
tmp = fma(0.5, sqrt((1.0 / y)), t_2) - sqrt(x);
} else {
tmp = 1.0 + (t_1 - (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x))) tmp = 0.0 if (t_3 <= 1e-6) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); elseif (t_3 <= 1.001) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_2) - sqrt(x)); else tmp = Float64(1.0 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 1e-6], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], If[LessEqual[t$95$3, 1.001], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\\
\mathbf{if}\;t\_3 \leq 10^{-6}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{elif}\;t\_3 \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_2\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\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))) < 9.99999999999999955e-7Initial program 79.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.0
Applied rewrites5.0%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites10.3%
if 9.99999999999999955e-7 < (+.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))) < 1.0009999999999999Initial program 96.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.4
Applied rewrites16.4%
Taylor expanded in z around inf
Applied rewrites20.1%
Taylor expanded in y around inf
Applied rewrites22.0%
if 1.0009999999999999 < (+.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 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6430.6
Applied rewrites30.6%
Taylor expanded in z around inf
Applied rewrites42.7%
Taylor expanded in x around 0
Applied rewrites41.3%
Final simplification25.5%
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 (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= (- t_2 (sqrt x)) 0.999)
(+ t_3 (+ t_1 (/ 1.0 (+ (sqrt x) t_2))))
(+ t_3 (+ t_1 (+ (- (sqrt (+ y 1.0)) (sqrt y)) (- 1.0 (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if ((t_2 - sqrt(x)) <= 0.999) {
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
} else {
tmp = t_3 + (t_1 + ((sqrt((y + 1.0)) - sqrt(y)) + (1.0 - sqrt(x))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
if ((t_2 - sqrt(x)) <= 0.999d0) then
tmp = t_3 + (t_1 + (1.0d0 / (sqrt(x) + t_2)))
else
tmp = t_3 + (t_1 + ((sqrt((y + 1.0d0)) - sqrt(y)) + (1.0d0 - sqrt(x))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if ((t_2 - Math.sqrt(x)) <= 0.999) {
tmp = t_3 + (t_1 + (1.0 / (Math.sqrt(x) + t_2)));
} else {
tmp = t_3 + (t_1 + ((Math.sqrt((y + 1.0)) - Math.sqrt(y)) + (1.0 - Math.sqrt(x))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if (t_2 - math.sqrt(x)) <= 0.999: tmp = t_3 + (t_1 + (1.0 / (math.sqrt(x) + t_2))) else: tmp = t_3 + (t_1 + ((math.sqrt((y + 1.0)) - math.sqrt(y)) + (1.0 - math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.999) tmp = Float64(t_3 + Float64(t_1 + Float64(1.0 / Float64(sqrt(x) + t_2)))); else tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if ((t_2 - sqrt(x)) <= 0.999)
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
else
tmp = t_3 + (t_1 + ((sqrt((y + 1.0)) - sqrt(y)) + (1.0 - sqrt(x))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.999], N[(t$95$3 + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.999:\\
\;\;\;\;t\_3 + \left(t\_1 + \frac{1}{\sqrt{x} + t\_2}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(\sqrt{y + 1} - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.998999999999999999Initial program 88.6%
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
lower-+.f6489.2
Applied rewrites89.2%
Taylor expanded in y around inf
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6448.8
Applied rewrites48.8%
if 0.998999999999999999 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 96.8%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.1
Applied rewrites96.1%
Final simplification73.2%
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 (+ y 1.0))))
(if (<= (+ (- t_1 (sqrt y)) (- (sqrt (+ x 1.0)) (sqrt x))) 0.5)
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)
(+ 1.0 (- t_1 (+ (sqrt x) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double tmp;
if (((t_1 - sqrt(y)) + (sqrt((x + 1.0)) - sqrt(x))) <= 0.5) {
tmp = fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x;
} else {
tmp = 1.0 + (t_1 - (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(Float64(t_1 - sqrt(y)) + Float64(sqrt(Float64(x + 1.0)) - sqrt(x))) <= 0.5) tmp = Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x); else tmp = Float64(1.0 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.5], N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], N[(1.0 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
\mathbf{if}\;\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{x + 1} - \sqrt{x}\right) \leq 0.5:\\
\;\;\;\;\frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\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))) < 0.5Initial program 79.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.1
Applied rewrites6.1%
Taylor expanded in z around inf
Applied rewrites6.3%
Taylor expanded in y around inf
Applied rewrites6.0%
Taylor expanded in x around inf
Applied rewrites11.8%
if 0.5 < (+.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 97.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.3
Applied rewrites22.3%
Taylor expanded in z around inf
Applied rewrites29.4%
Taylor expanded in x around 0
Applied rewrites28.1%
Final simplification24.2%
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 (+ y 1.0))))
(if (<= (+ (- t_1 (sqrt y)) (- (sqrt (+ x 1.0)) (sqrt x))) 0.5)
(* 0.5 (sqrt (/ 1.0 x)))
(+ 1.0 (- t_1 (+ (sqrt x) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double tmp;
if (((t_1 - sqrt(y)) + (sqrt((x + 1.0)) - sqrt(x))) <= 0.5) {
tmp = 0.5 * sqrt((1.0 / x));
} else {
tmp = 1.0 + (t_1 - (sqrt(x) + sqrt(y)));
}
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) :: tmp
t_1 = sqrt((y + 1.0d0))
if (((t_1 - sqrt(y)) + (sqrt((x + 1.0d0)) - sqrt(x))) <= 0.5d0) then
tmp = 0.5d0 * sqrt((1.0d0 / x))
else
tmp = 1.0d0 + (t_1 - (sqrt(x) + sqrt(y)))
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 tmp;
if (((t_1 - Math.sqrt(y)) + (Math.sqrt((x + 1.0)) - Math.sqrt(x))) <= 0.5) {
tmp = 0.5 * Math.sqrt((1.0 / x));
} else {
tmp = 1.0 + (t_1 - (Math.sqrt(x) + Math.sqrt(y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) tmp = 0 if ((t_1 - math.sqrt(y)) + (math.sqrt((x + 1.0)) - math.sqrt(x))) <= 0.5: tmp = 0.5 * math.sqrt((1.0 / x)) else: tmp = 1.0 + (t_1 - (math.sqrt(x) + math.sqrt(y))) 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(t_1 - sqrt(y)) + Float64(sqrt(Float64(x + 1.0)) - sqrt(x))) <= 0.5) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); else tmp = Float64(1.0 + Float64(t_1 - Float64(sqrt(x) + sqrt(y)))); 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));
tmp = 0.0;
if (((t_1 - sqrt(y)) + (sqrt((x + 1.0)) - sqrt(x))) <= 0.5)
tmp = 0.5 * sqrt((1.0 / x));
else
tmp = 1.0 + (t_1 - (sqrt(x) + sqrt(y)));
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]}, If[LessEqual[N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.5], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
\mathbf{if}\;\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{x + 1} - \sqrt{x}\right) \leq 0.5:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\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))) < 0.5Initial program 79.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.1
Applied rewrites6.1%
Taylor expanded in z around inf
Applied rewrites6.3%
Taylor expanded in y around inf
Applied rewrites6.0%
Taylor expanded in x around inf
Applied rewrites11.2%
if 0.5 < (+.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 97.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.3
Applied rewrites22.3%
Taylor expanded in z around inf
Applied rewrites29.4%
Taylor expanded in x around 0
Applied rewrites28.1%
Final simplification24.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 54000000.0) (- (sqrt (+ x 1.0)) (sqrt x)) (* 0.5 (sqrt (/ 1.0 x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 54000000.0) {
tmp = sqrt((x + 1.0)) - sqrt(x);
} else {
tmp = 0.5 * sqrt((1.0 / x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (x <= 54000000.0d0) then
tmp = sqrt((x + 1.0d0)) - sqrt(x)
else
tmp = 0.5d0 * sqrt((1.0d0 / x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (x <= 54000000.0) {
tmp = Math.sqrt((x + 1.0)) - Math.sqrt(x);
} else {
tmp = 0.5 * Math.sqrt((1.0 / x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if x <= 54000000.0: tmp = math.sqrt((x + 1.0)) - math.sqrt(x) else: tmp = 0.5 * math.sqrt((1.0 / x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 54000000.0) tmp = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)); else tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (x <= 54000000.0)
tmp = sqrt((x + 1.0)) - sqrt(x);
else
tmp = 0.5 * sqrt((1.0 / x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 54000000.0], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 54000000:\\
\;\;\;\;\sqrt{x + 1} - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\end{array}
\end{array}
if x < 5.4e7Initial program 96.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.1
Applied rewrites19.1%
Taylor expanded in z around inf
Applied rewrites40.3%
Taylor expanded in y around inf
Applied rewrites27.8%
if 5.4e7 < x Initial program 88.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.6
Applied rewrites17.6%
Taylor expanded in z around inf
Applied rewrites4.3%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites8.3%
Final simplification18.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 0.94) (- (fma x (fma x -0.125 0.5) 1.0) (sqrt x)) (* 0.5 (sqrt (/ 1.0 x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 0.94) {
tmp = fma(x, fma(x, -0.125, 0.5), 1.0) - sqrt(x);
} else {
tmp = 0.5 * sqrt((1.0 / x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 0.94) tmp = Float64(fma(x, fma(x, -0.125, 0.5), 1.0) - sqrt(x)); else tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 0.94], N[(N[(x * N[(x * -0.125 + 0.5), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 0.94:\\
\;\;\;\;\mathsf{fma}\left(x, \mathsf{fma}\left(x, -0.125, 0.5\right), 1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\end{array}
\end{array}
if x < 0.93999999999999995Initial program 96.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.7
Applied rewrites19.7%
Taylor expanded in z around inf
Applied rewrites40.5%
Taylor expanded in y around inf
Applied rewrites27.4%
Taylor expanded in x around 0
Applied rewrites27.4%
if 0.93999999999999995 < x Initial program 88.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.0
Applied rewrites17.0%
Taylor expanded in z around inf
Applied rewrites5.7%
Taylor expanded in y around inf
Applied rewrites4.6%
Taylor expanded in x around inf
Applied rewrites8.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (fma x 0.5 1.0) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return fma(x, 0.5, 1.0) - sqrt(x);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(fma(x, 0.5, 1.0) - sqrt(x)) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(x * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\mathsf{fma}\left(x, 0.5, 1\right) - \sqrt{x}
\end{array}
Initial program 92.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.4
Applied rewrites18.4%
Taylor expanded in z around inf
Applied rewrites23.9%
Taylor expanded in y around inf
Applied rewrites16.6%
Taylor expanded in x around 0
Applied rewrites16.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- 1.0 (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 - 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 = 1.0d0 - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 - 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[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 - \sqrt{x}
\end{array}
Initial program 92.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.4
Applied rewrites18.4%
Taylor expanded in z around inf
Applied rewrites23.9%
Taylor expanded in y around inf
Applied rewrites16.6%
Taylor expanded in x around 0
Applied rewrites14.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (sqrt y))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt(y);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt(y)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(y);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(y)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return sqrt(y) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt(y);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[Sqrt[y], $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{y}
\end{array}
Initial program 92.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.4
Applied rewrites18.4%
Taylor expanded in z around inf
Applied rewrites23.9%
Applied rewrites20.5%
Taylor expanded in y around inf
Applied rewrites7.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (sqrt 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 sqrt(x) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[Sqrt[x], $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{x}
\end{array}
Initial program 92.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6418.4
Applied rewrites18.4%
Taylor expanded in z around inf
Applied rewrites23.9%
Applied rewrites20.5%
Taylor expanded in x around inf
Applied rewrites6.9%
(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 2024221
(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))))