
(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 23 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 (+ x 1.0)))
(t_2 (+ t_1 (sqrt x)))
(t_3 (/ 1.0 t_2))
(t_4 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (sqrt y) t_5))
(t_7 (sqrt (+ t 1.0))))
(if (<= t_4 5e-6)
(+
(- t_7 (sqrt t))
(fma
(sqrt (/ 1.0 z))
0.5
(fma
(/ (sqrt x) t_6)
t_3
(fma (/ (sqrt y) t_2) (/ 1.0 t_6) (* (+ t_1 t_5) (/ t_3 t_6))))))
(+
(/ (- (+ t 1.0) t) (+ (sqrt t) t_7))
(+ (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))) t_4)))))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 = t_1 + sqrt(x);
double t_3 = 1.0 / t_2;
double t_4 = sqrt((1.0 + z)) - sqrt(z);
double t_5 = sqrt((y + 1.0));
double t_6 = sqrt(y) + t_5;
double t_7 = sqrt((t + 1.0));
double tmp;
if (t_4 <= 5e-6) {
tmp = (t_7 - sqrt(t)) + fma(sqrt((1.0 / z)), 0.5, fma((sqrt(x) / t_6), t_3, fma((sqrt(y) / t_2), (1.0 / t_6), ((t_1 + t_5) * (t_3 / t_6)))));
} else {
tmp = (((t + 1.0) - t) / (sqrt(t) + t_7)) + (((t_5 - sqrt(y)) + (t_1 - sqrt(x))) + t_4);
}
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 = Float64(t_1 + sqrt(x)) t_3 = Float64(1.0 / t_2) t_4 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(sqrt(y) + t_5) t_7 = sqrt(Float64(t + 1.0)) tmp = 0.0 if (t_4 <= 5e-6) tmp = Float64(Float64(t_7 - sqrt(t)) + fma(sqrt(Float64(1.0 / z)), 0.5, fma(Float64(sqrt(x) / t_6), t_3, fma(Float64(sqrt(y) / t_2), Float64(1.0 / t_6), Float64(Float64(t_1 + t_5) * Float64(t_3 / t_6)))))); else tmp = Float64(Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_7)) + Float64(Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x))) + 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 / t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] + t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 5e-6], N[(N[(t$95$7 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(N[(N[Sqrt[x], $MachinePrecision] / t$95$6), $MachinePrecision] * t$95$3 + N[(N[(N[Sqrt[y], $MachinePrecision] / t$95$2), $MachinePrecision] * N[(1.0 / t$95$6), $MachinePrecision] + N[(N[(t$95$1 + t$95$5), $MachinePrecision] * N[(t$95$3 / t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $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 := t\_1 + \sqrt{x}\\
t_3 := \frac{1}{t\_2}\\
t_4 := \sqrt{1 + z} - \sqrt{z}\\
t_5 := \sqrt{y + 1}\\
t_6 := \sqrt{y} + t\_5\\
t_7 := \sqrt{t + 1}\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-6}:\\
\;\;\;\;\left(t\_7 - \sqrt{t}\right) + \mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \mathsf{fma}\left(\frac{\sqrt{x}}{t\_6}, t\_3, \mathsf{fma}\left(\frac{\sqrt{y}}{t\_2}, \frac{1}{t\_6}, \left(t\_1 + t\_5\right) \cdot \frac{t\_3}{t\_6}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(t + 1\right) - t}{\sqrt{t} + t\_7} + \left(\left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right) + t\_4\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 5.00000000000000041e-6Initial program 84.3%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.9%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6468.1
Applied rewrites68.1%
Taylor expanded in z around inf
Applied rewrites94.2%
if 5.00000000000000041e-6 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.5
Applied rewrites97.5%
Final simplification96.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(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))
(t_6 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_5 0.0001)
(+ (+ (* (sqrt (/ 1.0 x)) 0.5) t_2) t_6)
(if (<= t_5 1.001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_4) (sqrt x))
(if (<= t_5 2.00005)
(- (+ (/ 0.5 (sqrt z)) (+ t_4 t_3)) (+ (sqrt y) (sqrt x)))
(+
(- (+ (fma 0.5 x t_1) 2.0) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
t_6))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = 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 t_6 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_5 <= 0.0001) {
tmp = ((sqrt((1.0 / x)) * 0.5) + t_2) + t_6;
} else if (t_5 <= 1.001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_4) - sqrt(x);
} else if (t_5 <= 2.00005) {
tmp = ((0.5 / sqrt(z)) + (t_4 + t_3)) - (sqrt(y) + sqrt(x));
} else {
tmp = ((fma(0.5, x, t_1) + 2.0) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + t_6;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(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) t_6 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_5 <= 0.0001) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) * 0.5) + t_2) + t_6); elseif (t_5 <= 1.001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_4) - sqrt(x)); elseif (t_5 <= 2.00005) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + Float64(t_4 + t_3)) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(fma(0.5, x, t_1) + 2.0) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + t_6); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(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]}, Block[{t$95$6 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0001], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$5, 1.001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := 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\\
t_6 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_5 \leq 0.0001:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} \cdot 0.5 + t\_2\right) + t\_6\\
\mathbf{elif}\;t\_5 \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_4\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + \left(t\_4 + t\_3\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_1\right) + 2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + t\_6\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000005e-4Initial program 53.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6461.0
Applied rewrites61.0%
Taylor expanded in y around inf
Applied rewrites57.0%
if 1.00000000000000005e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.0009999999999999Initial program 96.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.1%
Taylor expanded in z around inf
Applied rewrites3.7%
Taylor expanded in y around inf
Applied rewrites22.3%
if 1.0009999999999999 < (+.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))) < 2.0000499999999999Initial program 97.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites22.7%
Applied rewrites22.7%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites95.8%
Taylor expanded in y around 0
Applied rewrites92.7%
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)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (- t_3 (sqrt z)))
(t_5 (+ (+ (- t_1 (sqrt y)) (- t_2 (sqrt x))) t_4))
(t_6 (+ t_2 t_1)))
(if (<= t_5 0.0001)
(+ (+ (* (sqrt (/ 1.0 x)) 0.5) t_4) (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_5 1.001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_2) (sqrt x))
(if (<= t_5 2.00005)
(- (+ (/ 0.5 (sqrt z)) t_6) (+ (sqrt y) (sqrt x)))
(+ (- t_6 (+ (+ (sqrt y) (sqrt z)) (sqrt x))) t_3))))))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 = sqrt((1.0 + z));
double t_4 = t_3 - sqrt(z);
double t_5 = ((t_1 - sqrt(y)) + (t_2 - sqrt(x))) + t_4;
double t_6 = t_2 + t_1;
double tmp;
if (t_5 <= 0.0001) {
tmp = ((sqrt((1.0 / x)) * 0.5) + t_4) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_5 <= 1.001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_2) - sqrt(x);
} else if (t_5 <= 2.00005) {
tmp = ((0.5 / sqrt(z)) + t_6) - (sqrt(y) + sqrt(x));
} else {
tmp = (t_6 - ((sqrt(y) + sqrt(z)) + sqrt(x))) + t_3;
}
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 = sqrt(Float64(1.0 + z)) t_4 = Float64(t_3 - sqrt(z)) t_5 = Float64(Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x))) + t_4) t_6 = Float64(t_2 + t_1) tmp = 0.0 if (t_5 <= 0.0001) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) * 0.5) + t_4) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_5 <= 1.001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_2) - sqrt(x)); elseif (t_5 <= 2.00005) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + t_6) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(t_6 - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0001], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$4), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$6 - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + z}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \left(\left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right) + t\_4\\
t_6 := t\_2 + t\_1\\
\mathbf{if}\;t\_5 \leq 0.0001:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} \cdot 0.5 + t\_4\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_2\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + t\_6\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_6 - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000005e-4Initial program 53.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6461.0
Applied rewrites61.0%
Taylor expanded in y around inf
Applied rewrites57.0%
if 1.00000000000000005e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.0009999999999999Initial program 96.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.1%
Taylor expanded in z around inf
Applied rewrites3.7%
Taylor expanded in y around inf
Applied rewrites22.3%
if 1.0009999999999999 < (+.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))) < 2.0000499999999999Initial program 97.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites22.7%
Applied rewrites22.7%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites58.5%
Applied rewrites58.6%
Final simplification32.9%
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 (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ 1.0 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 (sqrt z)))))
(if (<= t_5 1e-5)
(+ (+ (/ 1.0 (+ t_4 (sqrt x))) (* 0.5 (sqrt (/ 1.0 z)))) t_1)
(if (<= t_5 2.0)
(+ (- (+ (/ 1.0 (+ (sqrt y) t_3)) t_4) (sqrt x)) t_1)
(+
(- (+ (fma 0.5 x t_2) 2.0) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + 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 - sqrt(z));
double tmp;
if (t_5 <= 1e-5) {
tmp = ((1.0 / (t_4 + sqrt(x))) + (0.5 * sqrt((1.0 / z)))) + t_1;
} else if (t_5 <= 2.0) {
tmp = (((1.0 / (sqrt(y) + t_3)) + t_4) - sqrt(x)) + t_1;
} else {
tmp = ((fma(0.5, x, t_2) + 2.0) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + 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))) + Float64(t_2 - sqrt(z))) tmp = 0.0 if (t_5 <= 1e-5) tmp = Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(x))) + Float64(0.5 * sqrt(Float64(1.0 / z)))) + t_1); elseif (t_5 <= 2.0) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_3)) + t_4) - sqrt(x)) + t_1); else tmp = Float64(Float64(Float64(fma(0.5, x, t_2) + 2.0) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + 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] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1e-5], N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$2), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{1 + 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) + \left(t\_2 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 10^{-5}:\\
\;\;\;\;\left(\frac{1}{t\_4 + \sqrt{x}} + 0.5 \cdot \sqrt{\frac{1}{z}}\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{y} + t\_3} + t\_4\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_2\right) + 2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000008e-5Initial program 51.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites53.4%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6460.2
Applied rewrites60.2%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6459.1
Applied rewrites59.1%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6473.3
Applied rewrites73.3%
if 1.00000000000000008e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.3
Applied rewrites97.3%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6440.8
Applied rewrites40.8%
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 97.8%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites94.9%
Taylor expanded in y around 0
Applied rewrites90.3%
Final simplification53.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(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))
(t_6 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_5 0.0001)
(+ (+ (* (sqrt (/ 1.0 x)) 0.5) t_2) t_6)
(if (<= t_5 2.0)
(+ (- (+ (/ 1.0 (+ (sqrt y) t_3)) t_4) (sqrt x)) t_6)
(+
(- (+ (fma 0.5 x t_1) 2.0) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
t_6)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = 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 t_6 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_5 <= 0.0001) {
tmp = ((sqrt((1.0 / x)) * 0.5) + t_2) + t_6;
} else if (t_5 <= 2.0) {
tmp = (((1.0 / (sqrt(y) + t_3)) + t_4) - sqrt(x)) + t_6;
} else {
tmp = ((fma(0.5, x, t_1) + 2.0) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + t_6;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(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) t_6 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_5 <= 0.0001) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) * 0.5) + t_2) + t_6); elseif (t_5 <= 2.0) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_3)) + t_4) - sqrt(x)) + t_6); else tmp = Float64(Float64(Float64(fma(0.5, x, t_1) + 2.0) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + t_6); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(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]}, Block[{t$95$6 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0001], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := 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\\
t_6 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_5 \leq 0.0001:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} \cdot 0.5 + t\_2\right) + t\_6\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{y} + t\_3} + t\_4\right) - \sqrt{x}\right) + t\_6\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_1\right) + 2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + t\_6\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000005e-4Initial program 53.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6461.0
Applied rewrites61.0%
Taylor expanded in y around inf
Applied rewrites57.0%
if 1.00000000000000005e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.5
Applied rewrites97.5%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6441.0
Applied rewrites41.0%
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 97.8%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites94.9%
Taylor expanded in y around 0
Applied rewrites90.3%
Final simplification51.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 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 (sqrt z))))
(t_5 (+ t_3 t_2)))
(if (<= t_4 1.001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_3) (sqrt x))
(if (<= t_4 2.00005)
(- (+ (/ 0.5 (sqrt z)) t_5) (+ (sqrt y) (sqrt x)))
(+ (- t_5 (+ (+ (sqrt y) (sqrt z)) (sqrt x))) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((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 t_5 = t_3 + t_2;
double tmp;
if (t_4 <= 1.001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_3) - sqrt(x);
} else if (t_4 <= 2.00005) {
tmp = ((0.5 / sqrt(z)) + t_5) - (sqrt(y) + sqrt(x));
} else {
tmp = (t_5 - ((sqrt(y) + sqrt(z)) + sqrt(x))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = 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))) t_5 = Float64(t_3 + t_2) tmp = 0.0 if (t_4 <= 1.001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_3) - sqrt(x)); elseif (t_4 <= 2.00005) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + t_5) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(t_5 - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + 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] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$4, 1.001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$5 - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + 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) + \left(t\_1 - \sqrt{z}\right)\\
t_5 := t\_3 + t\_2\\
\mathbf{if}\;t\_4 \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + t\_5\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_5 - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.0009999999999999Initial program 83.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites3.5%
Taylor expanded in y around inf
Applied rewrites16.6%
if 1.0009999999999999 < (+.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))) < 2.0000499999999999Initial program 97.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites22.7%
Applied rewrites22.7%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites58.5%
Applied rewrites58.6%
Final simplification25.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 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 1.001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_3) (sqrt x))
(if (<= t_4 2.00005)
(- (+ (/ 0.5 (sqrt z)) (+ t_3 t_2)) (+ (sqrt y) (sqrt x)))
(+ (- (+ t_2 t_1) (+ (+ (sqrt y) (sqrt z)) (sqrt x))) 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + 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 - sqrt(z));
double tmp;
if (t_4 <= 1.001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_3) - sqrt(x);
} else if (t_4 <= 2.00005) {
tmp = ((0.5 / sqrt(z)) + (t_3 + t_2)) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_2 + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + 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))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_3) - sqrt(x)); elseif (t_4 <= 2.00005) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + Float64(t_3 + t_2)) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_2 + t_1) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + 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] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + t$95$2), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + 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) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + \left(t\_3 + t\_2\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.0009999999999999Initial program 83.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites3.5%
Taylor expanded in y around inf
Applied rewrites16.6%
if 1.0009999999999999 < (+.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))) < 2.0000499999999999Initial program 97.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites22.7%
Applied rewrites22.7%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites58.5%
Taylor expanded in z around inf
Applied rewrites2.0%
Taylor expanded in x around 0
Applied rewrites54.6%
Final simplification25.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 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 (sqrt z))))
(t_5 (sqrt (/ 1.0 z))))
(if (<= t_4 1.001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) t_5) t_3) (sqrt x))
(if (<= t_4 2.00005)
(+ (- (fma t_5 0.5 t_2) (+ (sqrt y) (sqrt x))) 1.0)
(+ (- (+ t_2 t_1) (+ (+ (sqrt y) (sqrt z)) (sqrt x))) 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + 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 - sqrt(z));
double t_5 = sqrt((1.0 / z));
double tmp;
if (t_4 <= 1.001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + t_5), t_3) - sqrt(x);
} else if (t_4 <= 2.00005) {
tmp = (fma(t_5, 0.5, t_2) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = ((t_2 + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + 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))) + Float64(t_1 - sqrt(z))) t_5 = sqrt(Float64(1.0 / z)) tmp = 0.0 if (t_4 <= 1.001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + t_5), t_3) - sqrt(x)); elseif (t_4 <= 2.00005) tmp = Float64(Float64(fma(t_5, 0.5, t_2) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(Float64(t_2 + t_1) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + 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] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 1.001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(N[(N[(t$95$5 * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + 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) + \left(t\_1 - \sqrt{z}\right)\\
t_5 := \sqrt{\frac{1}{z}}\\
\mathbf{if}\;t\_4 \leq 1.001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + t\_5, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_5, 0.5, t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.0009999999999999Initial program 83.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites3.5%
Taylor expanded in y around inf
Applied rewrites16.6%
if 1.0009999999999999 < (+.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))) < 2.0000499999999999Initial program 97.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites22.7%
Taylor expanded in x around 0
Applied rewrites25.0%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites58.5%
Taylor expanded in z around inf
Applied rewrites2.0%
Taylor expanded in x around 0
Applied rewrites54.6%
Final simplification26.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (/ 1.0 z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ (- t_2 (sqrt y)) (- t_4 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_5 0.9999999999982103)
(- (fma t_3 0.5 t_4) (sqrt x))
(if (<= t_5 2.00005)
(+ (- (fma t_3 0.5 t_2) (+ (sqrt y) (sqrt x))) 1.0)
(+ (- (+ t_2 t_1) (+ (+ (sqrt y) (sqrt z)) (sqrt x))) 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((1.0 / z));
double t_4 = sqrt((x + 1.0));
double t_5 = ((t_2 - sqrt(y)) + (t_4 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 0.9999999999982103) {
tmp = fma(t_3, 0.5, t_4) - sqrt(x);
} else if (t_5 <= 2.00005) {
tmp = (fma(t_3, 0.5, t_2) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = ((t_2 + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(1.0 / z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_4 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 0.9999999999982103) tmp = Float64(fma(t_3, 0.5, t_4) - sqrt(x)); elseif (t_5 <= 2.00005) tmp = Float64(Float64(fma(t_3, 0.5, t_2) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(Float64(t_2 + t_1) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.9999999999982103], N[(N[(t$95$3 * 0.5 + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(t$95$3 * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{\frac{1}{z}}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_4 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 0.9999999999982103:\\
\;\;\;\;\mathsf{fma}\left(t\_3, 0.5, t\_4\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_3, 0.5, t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999999821032Initial program 59.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites3.2%
Taylor expanded in y around inf
Applied rewrites7.9%
if 0.99999999999821032 < (+.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))) < 2.0000499999999999Initial program 97.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.1%
Taylor expanded in z around inf
Applied rewrites14.8%
Taylor expanded in x around 0
Applied rewrites24.0%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites58.5%
Taylor expanded in z around inf
Applied rewrites2.0%
Taylor expanded in x around 0
Applied rewrites54.6%
Final simplification26.3%
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 (+ 1.0 z)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (/ 1.0 z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ (- t_2 (sqrt y)) (- t_4 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_5 0.9999999999982103)
(- (fma t_3 0.5 t_4) (sqrt x))
(if (<= t_5 2.00005)
(+ (- (fma t_3 0.5 t_2) (+ (sqrt y) (sqrt x))) 1.0)
(-
(+ (fma (fma -0.125 y 0.5) y t_1) 2.0)
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((1.0 / z));
double t_4 = sqrt((x + 1.0));
double t_5 = ((t_2 - sqrt(y)) + (t_4 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 0.9999999999982103) {
tmp = fma(t_3, 0.5, t_4) - sqrt(x);
} else if (t_5 <= 2.00005) {
tmp = (fma(t_3, 0.5, t_2) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = (fma(fma(-0.125, y, 0.5), y, t_1) + 2.0) - ((sqrt(y) + sqrt(z)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(1.0 / z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_4 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 0.9999999999982103) tmp = Float64(fma(t_3, 0.5, t_4) - sqrt(x)); elseif (t_5 <= 2.00005) tmp = Float64(Float64(fma(t_3, 0.5, t_2) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(fma(fma(-0.125, y, 0.5), y, t_1) + 2.0) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.9999999999982103], N[(N[(t$95$3 * 0.5 + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(t$95$3 * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(N[(-0.125 * y + 0.5), $MachinePrecision] * y + t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{\frac{1}{z}}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_4 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 0.9999999999982103:\\
\;\;\;\;\mathsf{fma}\left(t\_3, 0.5, t\_4\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_3, 0.5, t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.125, y, 0.5\right), y, t\_1\right) + 2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999999821032Initial program 59.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites3.2%
Taylor expanded in y around inf
Applied rewrites7.9%
if 0.99999999999821032 < (+.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))) < 2.0000499999999999Initial program 97.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.1%
Taylor expanded in z around inf
Applied rewrites14.8%
Taylor expanded in x around 0
Applied rewrites24.0%
if 2.0000499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites58.5%
Taylor expanded in x around 0
Applied rewrites54.6%
Taylor expanded in y around 0
Applied rewrites53.3%
Final simplification26.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 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 (sqrt z)))))
(if (<= t_4 1.0)
(- (fma (sqrt (/ 1.0 z)) 0.5 t_3) (sqrt x))
(if (<= t_4 2.0)
(- (+ t_3 t_2) (+ (sqrt y) (sqrt x)))
(-
(+ (fma (fma -0.125 y 0.5) y t_1) 2.0)
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + 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 - sqrt(z));
double tmp;
if (t_4 <= 1.0) {
tmp = fma(sqrt((1.0 / z)), 0.5, t_3) - sqrt(x);
} else if (t_4 <= 2.0) {
tmp = (t_3 + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = (fma(fma(-0.125, y, 0.5), y, t_1) + 2.0) - ((sqrt(y) + sqrt(z)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + 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))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_3) - sqrt(x)); elseif (t_4 <= 2.0) tmp = Float64(Float64(t_3 + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(fma(fma(-0.125, y, 0.5), y, t_1) + 2.0) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + 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] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(t$95$3 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(-0.125 * y + 0.5), $MachinePrecision] * y + t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + 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) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(t\_3 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.125, y, 0.5\right), y, t\_1\right) + 2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 83.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites15.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Taylor expanded in z around inf
Applied rewrites21.4%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites56.8%
Taylor expanded in x around 0
Applied rewrites53.0%
Taylor expanded in y around 0
Applied rewrites51.4%
Final simplification24.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 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 (sqrt z)))))
(if (<= t_4 1.0)
(- (fma (sqrt (/ 1.0 z)) 0.5 t_3) (sqrt x))
(if (<= t_4 2.0)
(- (+ t_3 t_2) (+ (sqrt y) (sqrt x)))
(- (+ (fma 0.5 y t_1) 2.0) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + 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 - sqrt(z));
double tmp;
if (t_4 <= 1.0) {
tmp = fma(sqrt((1.0 / z)), 0.5, t_3) - sqrt(x);
} else if (t_4 <= 2.0) {
tmp = (t_3 + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = (fma(0.5, y, t_1) + 2.0) - ((sqrt(y) + sqrt(z)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + 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))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_3) - sqrt(x)); elseif (t_4 <= 2.0) tmp = Float64(Float64(t_3 + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(fma(0.5, y, t_1) + 2.0) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + 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] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(t$95$3 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * y + t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + 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) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(t\_3 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, y, t\_1\right) + 2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 83.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites15.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Taylor expanded in z around inf
Applied rewrites21.4%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites56.8%
Taylor expanded in x around 0
Applied rewrites53.0%
Taylor expanded in y around 0
Applied rewrites51.4%
Final simplification24.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 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 (sqrt z)))))
(if (<= t_4 1.0)
(- (fma (sqrt (/ 1.0 z)) 0.5 t_3) (sqrt x))
(if (<= t_4 2.0)
(- (+ t_3 t_2) (+ (sqrt y) (sqrt x)))
(- (+ 2.0 t_1) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + 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 - sqrt(z));
double tmp;
if (t_4 <= 1.0) {
tmp = fma(sqrt((1.0 / z)), 0.5, t_3) - sqrt(x);
} else if (t_4 <= 2.0) {
tmp = (t_3 + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = (2.0 + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + 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))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_3) - sqrt(x)); elseif (t_4 <= 2.0) tmp = Float64(Float64(t_3 + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(2.0 + t_1) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + 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] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(t$95$3 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + 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) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(t\_3 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(2 + t\_1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 83.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites15.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Taylor expanded in z around inf
Applied rewrites21.4%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites56.8%
Taylor expanded in x around 0
Applied rewrites53.0%
Taylor expanded in y around 0
Applied rewrites50.9%
Final simplification23.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ x 1.0))))
(if (<= (+ (+ (- t_3 (sqrt y)) (- t_4 (sqrt x))) t_1) 0.9998)
(+
(+
(* 0.5 (sqrt (/ 1.0 z)))
(fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ t_4 (sqrt x)))))
t_2)
(+
(+ (- (+ (/ 1.0 (+ (sqrt y) t_3)) (fma 0.5 x 1.0)) (sqrt x)) t_1)
t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((x + 1.0));
double tmp;
if ((((t_3 - sqrt(y)) + (t_4 - sqrt(x))) + t_1) <= 0.9998) {
tmp = ((0.5 * sqrt((1.0 / z))) + fma(sqrt((1.0 / y)), 0.5, (1.0 / (t_4 + sqrt(x))))) + t_2;
} else {
tmp = ((((1.0 / (sqrt(y) + t_3)) + fma(0.5, x, 1.0)) - sqrt(x)) + t_1) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_4 - sqrt(x))) + t_1) <= 0.9998) tmp = Float64(Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(t_4 + sqrt(x))))) + t_2); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_3)) + fma(0.5, x, 1.0)) - sqrt(x)) + t_1) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], 0.9998], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$4 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(0.5 * x + 1.0), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{x + 1}\\
\mathbf{if}\;\left(\left(t\_3 - \sqrt{y}\right) + \left(t\_4 - \sqrt{x}\right)\right) + t\_1 \leq 0.9998:\\
\;\;\;\;\left(0.5 \cdot \sqrt{\frac{1}{z}} + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{t\_4 + \sqrt{x}}\right)\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{y} + t\_3} + \mathsf{fma}\left(0.5, x, 1\right)\right) - \sqrt{x}\right) + t\_1\right) + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99980000000000002Initial program 57.2%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites59.4%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6461.1
Applied rewrites61.1%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6470.0
Applied rewrites70.0%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6478.6
Applied rewrites78.6%
if 0.99980000000000002 < (+.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 97.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.7
Applied rewrites97.7%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6460.9
Applied rewrites60.9%
Final simplification63.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ x 1.0))))
(if (<= (+ (- t_1 (sqrt y)) (- t_3 (sqrt x))) 1.5)
(+ (+ (/ 1.0 (+ (sqrt y) t_1)) (/ 1.0 (+ t_3 (sqrt x)))) t_2)
(+
(+
(- (- (+ (fma 0.5 x 1.0) t_1) (sqrt y)) (sqrt x))
(- (sqrt (+ 1.0 z)) (sqrt z)))
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((t + 1.0)) - sqrt(t);
double t_3 = sqrt((x + 1.0));
double tmp;
if (((t_1 - sqrt(y)) + (t_3 - sqrt(x))) <= 1.5) {
tmp = ((1.0 / (sqrt(y) + t_1)) + (1.0 / (t_3 + sqrt(x)))) + t_2;
} else {
tmp = ((((fma(0.5, x, 1.0) + t_1) - sqrt(y)) - sqrt(x)) + (sqrt((1.0 + z)) - sqrt(z))) + 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(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(Float64(t_1 - sqrt(y)) + Float64(t_3 - sqrt(x))) <= 1.5) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + Float64(1.0 / Float64(t_3 + sqrt(x)))) + t_2); else tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_1) - sqrt(y)) - sqrt(x)) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + 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[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.5], N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(t$95$3 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $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{t + 1} - \sqrt{t}\\
t_3 := \sqrt{x + 1}\\
\mathbf{if}\;\left(t\_1 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right) \leq 1.5:\\
\;\;\;\;\left(\frac{1}{\sqrt{y} + t\_1} + \frac{1}{t\_3 + \sqrt{x}}\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_1\right) - \sqrt{y}\right) - \sqrt{x}\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + t\_2\\
\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))) < 1.5Initial program 89.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6489.7
Applied rewrites89.7%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
Applied rewrites91.9%
Taylor expanded in z around inf
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6448.4
Applied rewrites48.4%
if 1.5 < (+.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 97.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6496.1
Applied rewrites96.1%
Final simplification62.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= (- t_2 (sqrt z)) 0.0)
(+ (+ (/ 1.0 (+ (sqrt y) t_1)) (/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))) t_3)
(+
(+
(/ (- (+ 1.0 z) z) (+ (sqrt z) t_2))
(+ (fma (fma -0.125 x 0.5) x (- 1.0 (sqrt x))) (- t_1 (sqrt y))))
t_3))))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((1.0 + z));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if ((t_2 - sqrt(z)) <= 0.0) {
tmp = ((1.0 / (sqrt(y) + t_1)) + (1.0 / (sqrt((x + 1.0)) + sqrt(x)))) + t_3;
} else {
tmp = ((((1.0 + z) - z) / (sqrt(z) + t_2)) + (fma(fma(-0.125, x, 0.5), x, (1.0 - sqrt(x))) + (t_1 - sqrt(y)))) + t_3;
}
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(1.0 + z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 0.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x)))) + t_3); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_2)) + Float64(fma(fma(-0.125, x, 0.5), x, Float64(1.0 - sqrt(x))) + Float64(t_1 - sqrt(y)))) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $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[z], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-0.125 * x + 0.5), $MachinePrecision] * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 0:\\
\;\;\;\;\left(\frac{1}{\sqrt{y} + t\_1} + \frac{1}{\sqrt{x + 1} + \sqrt{x}}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\left(1 + z\right) - z}{\sqrt{z} + t\_2} + \left(\mathsf{fma}\left(\mathsf{fma}\left(-0.125, x, 0.5\right), x, 1 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 84.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6485.2
Applied rewrites85.2%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
Applied rewrites87.6%
Taylor expanded in z around inf
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6489.1
Applied rewrites89.1%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6454.0
Applied rewrites54.0%
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
lower-+.f6454.5
Applied rewrites54.5%
Final simplification69.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))) (t_2 (sqrt (+ 1.0 z))) (t_3 (sqrt (+ t 1.0))))
(if (<= (- t_2 (sqrt z)) 0.0)
(+
(+ (/ 1.0 (+ (sqrt y) t_1)) (/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x))))
(- t_3 (sqrt t)))
(+
(- (+ (+ (fma 0.5 x 1.0) t_1) t_2) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
(/ (- (+ t 1.0) t) (+ (sqrt t) t_3))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((t + 1.0));
double tmp;
if ((t_2 - sqrt(z)) <= 0.0) {
tmp = ((1.0 / (sqrt(y) + t_1)) + (1.0 / (sqrt((x + 1.0)) + sqrt(x)))) + (t_3 - sqrt(t));
} else {
tmp = (((fma(0.5, x, 1.0) + t_1) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + (((t + 1.0) - t) / (sqrt(t) + t_3));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(t + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 0.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x)))) + Float64(t_3 - sqrt(t))); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_1) + t_2) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_3))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{t + 1}\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 0:\\
\;\;\;\;\left(\frac{1}{\sqrt{y} + t\_1} + \frac{1}{\sqrt{x + 1} + \sqrt{x}}\right) + \left(t\_3 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_1\right) + t\_2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_3}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 84.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6485.2
Applied rewrites85.2%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
Applied rewrites87.6%
Taylor expanded in z around inf
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6489.1
Applied rewrites89.1%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites33.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6433.6
Applied rewrites33.6%
Final simplification58.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_2 0.0)
(+ (+ (/ 1.0 (+ (sqrt y) t_1)) (/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))) t_3)
(+ (+ (+ (- 1.0 (sqrt x)) (- t_1 (sqrt y))) t_2) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_2 <= 0.0) {
tmp = ((1.0 / (sqrt(y) + t_1)) + (1.0 / (sqrt((x + 1.0)) + sqrt(x)))) + t_3;
} else {
tmp = (((1.0 - sqrt(x)) + (t_1 - sqrt(y))) + t_2) + t_3;
}
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((y + 1.0d0))
t_2 = sqrt((1.0d0 + z)) - sqrt(z)
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
if (t_2 <= 0.0d0) then
tmp = ((1.0d0 / (sqrt(y) + t_1)) + (1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x)))) + t_3
else
tmp = (((1.0d0 - sqrt(x)) + (t_1 - sqrt(y))) + t_2) + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (t_2 <= 0.0) {
tmp = ((1.0 / (Math.sqrt(y) + t_1)) + (1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x)))) + t_3;
} else {
tmp = (((1.0 - Math.sqrt(x)) + (t_1 - Math.sqrt(y))) + t_2) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((1.0 + z)) - math.sqrt(z) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if t_2 <= 0.0: tmp = ((1.0 / (math.sqrt(y) + t_1)) + (1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x)))) + t_3 else: tmp = (((1.0 - math.sqrt(x)) + (t_1 - math.sqrt(y))) + t_2) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_2 <= 0.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x)))) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(t_1 - sqrt(y))) + t_2) + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((1.0 + z)) - sqrt(z);
t_3 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (t_2 <= 0.0)
tmp = ((1.0 / (sqrt(y) + t_1)) + (1.0 / (sqrt((x + 1.0)) + sqrt(x)))) + t_3;
else
tmp = (((1.0 - sqrt(x)) + (t_1 - sqrt(y))) + t_2) + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.0], N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 \leq 0:\\
\;\;\;\;\left(\frac{1}{\sqrt{y} + t\_1} + \frac{1}{\sqrt{x + 1} + \sqrt{x}}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + t\_2\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 84.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6485.2
Applied rewrites85.2%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
Applied rewrites87.6%
Taylor expanded in z around inf
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6489.1
Applied rewrites89.1%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6452.2
Applied rewrites52.2%
Final simplification68.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= x 4.1e-9)
(+
(+
(+ (- 1.0 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ 1.0 z)) (sqrt z)))
t_1)
(+
(+ (/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x))) (* 0.5 (sqrt (/ 1.0 z))))
t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (x <= 4.1e-9) {
tmp = (((1.0 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((1.0 + z)) - sqrt(z))) + t_1;
} else {
tmp = ((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (0.5 * sqrt((1.0 / z)))) + t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((t + 1.0d0)) - sqrt(t)
if (x <= 4.1d-9) then
tmp = (((1.0d0 - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((1.0d0 + z)) - sqrt(z))) + t_1
else
tmp = ((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (0.5d0 * sqrt((1.0d0 / z)))) + t_1
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (x <= 4.1e-9) {
tmp = (((1.0 - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((1.0 + z)) - Math.sqrt(z))) + t_1;
} else {
tmp = ((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (0.5 * Math.sqrt((1.0 / z)))) + t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if x <= 4.1e-9: tmp = (((1.0 - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((1.0 + z)) - math.sqrt(z))) + t_1 else: tmp = ((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (0.5 * math.sqrt((1.0 / z)))) + t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (x <= 4.1e-9) tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + t_1); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(0.5 * sqrt(Float64(1.0 / z)))) + t_1); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (x <= 4.1e-9)
tmp = (((1.0 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((1.0 + z)) - sqrt(z))) + t_1;
else
tmp = ((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (0.5 * sqrt((1.0 / z)))) + t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 4.1e-9], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;x \leq 4.1 \cdot 10^{-9}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + 0.5 \cdot \sqrt{\frac{1}{z}}\right) + t\_1\\
\end{array}
\end{array}
if x < 4.1000000000000003e-9Initial program 97.8%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6497.7
Applied rewrites97.7%
if 4.1000000000000003e-9 < x Initial program 85.5%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites86.7%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6451.9
Applied rewrites51.9%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6448.7
Applied rewrites48.7%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6427.0
Applied rewrites27.0%
Final simplification61.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0))) (t_2 (sqrt (+ y 1.0))))
(if (<= (- t_2 (sqrt y)) 0.0)
(- (fma (sqrt (/ 1.0 z)) 0.5 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 tmp;
if ((t_2 - sqrt(y)) <= 0.0) {
tmp = fma(sqrt((1.0 / z)), 0.5, 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)) tmp = 0.0 if (Float64(t_2 - sqrt(y)) <= 0.0) tmp = Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_1) - sqrt(x)); else tmp = Float64(Float64(t_1 + t_2) - Float64(sqrt(y) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{y + 1}\\
\mathbf{if}\;t\_2 - \sqrt{y} \leq 0:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 85.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in z around inf
Applied rewrites3.7%
Taylor expanded in y around inf
Applied rewrites16.6%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites21.1%
Taylor expanded in z around inf
Applied rewrites22.4%
Final simplification19.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (fma (sqrt (/ 1.0 z)) 0.5 (sqrt (+ x 1.0))) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return fma(sqrt((1.0 / z)), 0.5, sqrt((x + 1.0))) - sqrt(x);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(fma(sqrt(Float64(1.0 / z)), 0.5, sqrt(Float64(x + 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[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \sqrt{x + 1}\right) - \sqrt{x}
\end{array}
Initial program 91.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites12.7%
Taylor expanded in z around inf
Applied rewrites12.0%
Taylor expanded in y around inf
Applied rewrites12.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (* 0.5 (sqrt (/ 1.0 z))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 * sqrt((1.0 / z));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 * sqrt((1.0d0 / z))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.5 * Math.sqrt((1.0 / z));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 * math.sqrt((1.0 / z))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 * sqrt(Float64(1.0 / z))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 * sqrt((1.0 / z));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
0.5 \cdot \sqrt{\frac{1}{z}}
\end{array}
Initial program 91.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites12.7%
Taylor expanded in z around inf
Applied rewrites12.0%
Taylor expanded in z around 0
Applied rewrites8.4%
Final simplification8.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt 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 Float64(-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 91.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites12.7%
Applied rewrites3.8%
Taylor expanded in y around inf
Applied rewrites1.6%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024255
(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))))