
(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 29 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 (+ (sqrt x) t_1))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (sqrt y) t_5))
(t_7 (* t_6 t_2)))
(if (<= (- t_3 (sqrt z)) 2e-6)
(+
(- t_4 (sqrt t))
(fma
(sqrt (/ 1.0 z))
0.5
(+
(/ (sqrt x) t_7)
(fma (/ (/ 1.0 t_2) t_6) (+ t_5 t_1) (/ (sqrt y) t_7)))))
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_4)) t_3) t_5)
(+ (+ (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((x + 1.0));
double t_2 = sqrt(x) + t_1;
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((t + 1.0));
double t_5 = sqrt((y + 1.0));
double t_6 = sqrt(y) + t_5;
double t_7 = t_6 * t_2;
double tmp;
if ((t_3 - sqrt(z)) <= 2e-6) {
tmp = (t_4 - sqrt(t)) + fma(sqrt((1.0 / z)), 0.5, ((sqrt(x) / t_7) + fma(((1.0 / t_2) / t_6), (t_5 + t_1), (sqrt(y) / t_7))));
} else {
tmp = ((((1.0 / (sqrt(t) + t_4)) + t_3) + t_5) - ((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(x + 1.0)) t_2 = Float64(sqrt(x) + t_1) t_3 = sqrt(Float64(1.0 + z)) t_4 = sqrt(Float64(t + 1.0)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(sqrt(y) + t_5) t_7 = Float64(t_6 * t_2) tmp = 0.0 if (Float64(t_3 - sqrt(z)) <= 2e-6) tmp = Float64(Float64(t_4 - sqrt(t)) + fma(sqrt(Float64(1.0 / z)), 0.5, Float64(Float64(sqrt(x) / t_7) + fma(Float64(Float64(1.0 / t_2) / t_6), Float64(t_5 + t_1), Float64(sqrt(y) / t_7))))); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_4)) + t_3) + t_5) - 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $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[(t$95$6 * t$95$2), $MachinePrecision]}, If[LessEqual[N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 2e-6], N[(N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(N[(N[Sqrt[x], $MachinePrecision] / t$95$7), $MachinePrecision] + N[(N[(N[(1.0 / t$95$2), $MachinePrecision] / t$95$6), $MachinePrecision] * N[(t$95$5 + t$95$1), $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] / t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$5), $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{x + 1}\\
t_2 := \sqrt{x} + t\_1\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{t + 1}\\
t_5 := \sqrt{y + 1}\\
t_6 := \sqrt{y} + t\_5\\
t_7 := t\_6 \cdot t\_2\\
\mathbf{if}\;t\_3 - \sqrt{z} \leq 2 \cdot 10^{-6}:\\
\;\;\;\;\left(t\_4 - \sqrt{t}\right) + \mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \frac{\sqrt{x}}{t\_7} + \mathsf{fma}\left(\frac{\frac{1}{t\_2}}{t\_6}, t\_5 + t\_1, \frac{\sqrt{y}}{t\_7}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_4} + t\_3\right) + t\_5\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 1.99999999999999991e-6Initial program 87.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites89.1%
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-+.f6473.5
Applied rewrites73.5%
Taylor expanded in z around inf
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites95.7%
if 1.99999999999999991e-6 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 96.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.8
Applied rewrites96.8%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites34.9%
Final simplification62.9%
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)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- t_3 (sqrt x)))
(t_5 (sqrt (/ 1.0 z)))
(t_6 (sqrt (+ y 1.0)))
(t_7 (+ (+ t_4 (- t_6 (sqrt y))) t_2))
(t_8 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_7 5e-8)
(+ (+ (* (sqrt (/ 1.0 x)) 0.5) t_2) t_8)
(if (<= t_7 1.0)
(+ (+ t_4 (* 0.5 t_5)) t_8)
(if (<= t_7 2.00005)
(- (+ (fma t_5 0.5 t_6) t_3) (+ (sqrt y) (sqrt x)))
(+
(- (+ 2.0 (fma 0.5 x t_1)) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
t_8))))))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((x + 1.0));
double t_4 = t_3 - sqrt(x);
double t_5 = sqrt((1.0 / z));
double t_6 = sqrt((y + 1.0));
double t_7 = (t_4 + (t_6 - sqrt(y))) + t_2;
double t_8 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_7 <= 5e-8) {
tmp = ((sqrt((1.0 / x)) * 0.5) + t_2) + t_8;
} else if (t_7 <= 1.0) {
tmp = (t_4 + (0.5 * t_5)) + t_8;
} else if (t_7 <= 2.00005) {
tmp = (fma(t_5, 0.5, t_6) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = ((2.0 + fma(0.5, x, t_1)) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + t_8;
}
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(x + 1.0)) t_4 = Float64(t_3 - sqrt(x)) t_5 = sqrt(Float64(1.0 / z)) t_6 = sqrt(Float64(y + 1.0)) t_7 = Float64(Float64(t_4 + Float64(t_6 - sqrt(y))) + t_2) t_8 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_7 <= 5e-8) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) * 0.5) + t_2) + t_8); elseif (t_7 <= 1.0) tmp = Float64(Float64(t_4 + Float64(0.5 * t_5)) + t_8); elseif (t_7 <= 2.00005) tmp = Float64(Float64(fma(t_5, 0.5, t_6) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(2.0 + fma(0.5, x, t_1)) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + t_8); 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$4 + N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$8 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 5e-8], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$8), $MachinePrecision], If[LessEqual[t$95$7, 1.0], N[(N[(t$95$4 + N[(0.5 * t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$8), $MachinePrecision], If[LessEqual[t$95$7, 2.00005], N[(N[(N[(t$95$5 * 0.5 + t$95$6), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(2.0 + N[(0.5 * x + t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$8), $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{x + 1}\\
t_4 := t\_3 - \sqrt{x}\\
t_5 := \sqrt{\frac{1}{z}}\\
t_6 := \sqrt{y + 1}\\
t_7 := \left(t\_4 + \left(t\_6 - \sqrt{y}\right)\right) + t\_2\\
t_8 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_7 \leq 5 \cdot 10^{-8}:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} \cdot 0.5 + t\_2\right) + t\_8\\
\mathbf{elif}\;t\_7 \leq 1:\\
\;\;\;\;\left(t\_4 + 0.5 \cdot t\_5\right) + t\_8\\
\mathbf{elif}\;t\_7 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_5, 0.5, t\_6\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(2 + \mathsf{fma}\left(0.5, x, t\_1\right)\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + t\_8\\
\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))) < 4.9999999999999998e-8Initial program 59.0%
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.f6470.7
Applied rewrites70.7%
Taylor expanded in y around inf
Applied rewrites70.7%
if 4.9999999999999998e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 96.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6468.4
Applied rewrites68.4%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6447.3
Applied rewrites47.3%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
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 rewrites5.4%
Taylor expanded in z around inf
Applied rewrites20.1%
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 97.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites90.3%
Taylor expanded in y around 0
Applied rewrites84.7%
Final simplification43.9%
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)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- t_3 (sqrt x)))
(t_5 (sqrt (/ 1.0 z)))
(t_6 (sqrt (+ y 1.0)))
(t_7 (+ (+ t_4 (- t_6 (sqrt y))) t_2))
(t_8 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_7 5e-8)
(+ (+ (* (sqrt (/ 1.0 x)) 0.5) t_2) t_8)
(if (<= t_7 1.0)
(+ (+ t_4 (* 0.5 t_5)) t_8)
(if (<= t_7 2.00005)
(- (+ (fma t_5 0.5 t_6) t_3) (+ (sqrt y) (sqrt x)))
(+
(* (sqrt (/ 1.0 t)) 0.5)
(- (+ 2.0 (fma 0.5 x 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 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_3 - sqrt(x);
double t_5 = sqrt((1.0 / z));
double t_6 = sqrt((y + 1.0));
double t_7 = (t_4 + (t_6 - sqrt(y))) + t_2;
double t_8 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_7 <= 5e-8) {
tmp = ((sqrt((1.0 / x)) * 0.5) + t_2) + t_8;
} else if (t_7 <= 1.0) {
tmp = (t_4 + (0.5 * t_5)) + t_8;
} else if (t_7 <= 2.00005) {
tmp = (fma(t_5, 0.5, t_6) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = (sqrt((1.0 / t)) * 0.5) + ((2.0 + fma(0.5, x, 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 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_3 - sqrt(x)) t_5 = sqrt(Float64(1.0 / z)) t_6 = sqrt(Float64(y + 1.0)) t_7 = Float64(Float64(t_4 + Float64(t_6 - sqrt(y))) + t_2) t_8 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_7 <= 5e-8) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) * 0.5) + t_2) + t_8); elseif (t_7 <= 1.0) tmp = Float64(Float64(t_4 + Float64(0.5 * t_5)) + t_8); elseif (t_7 <= 2.00005) tmp = Float64(Float64(fma(t_5, 0.5, t_6) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(sqrt(Float64(1.0 / t)) * 0.5) + Float64(Float64(2.0 + fma(0.5, x, 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[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$4 + N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$8 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 5e-8], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$8), $MachinePrecision], If[LessEqual[t$95$7, 1.0], N[(N[(t$95$4 + N[(0.5 * t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$8), $MachinePrecision], If[LessEqual[t$95$7, 2.00005], N[(N[(N[(t$95$5 * 0.5 + t$95$6), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(2.0 + N[(0.5 * x + t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_3 - \sqrt{x}\\
t_5 := \sqrt{\frac{1}{z}}\\
t_6 := \sqrt{y + 1}\\
t_7 := \left(t\_4 + \left(t\_6 - \sqrt{y}\right)\right) + t\_2\\
t_8 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_7 \leq 5 \cdot 10^{-8}:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} \cdot 0.5 + t\_2\right) + t\_8\\
\mathbf{elif}\;t\_7 \leq 1:\\
\;\;\;\;\left(t\_4 + 0.5 \cdot t\_5\right) + t\_8\\
\mathbf{elif}\;t\_7 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_5, 0.5, t\_6\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{1}{t}} \cdot 0.5 + \left(\left(2 + \mathsf{fma}\left(0.5, x, t\_1\right)\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 4.9999999999999998e-8Initial program 59.0%
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.f6470.7
Applied rewrites70.7%
Taylor expanded in y around inf
Applied rewrites70.7%
if 4.9999999999999998e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 96.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6468.4
Applied rewrites68.4%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6447.3
Applied rewrites47.3%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
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 rewrites5.4%
Taylor expanded in z around inf
Applied rewrites20.1%
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 97.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites90.3%
Taylor expanded in t around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6460.4
Applied rewrites60.4%
Taylor expanded in y around 0
Applied rewrites58.3%
Final simplification40.3%
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 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- t_3 (sqrt x)))
(t_5 (sqrt (/ 1.0 z)))
(t_6 (sqrt (+ y 1.0)))
(t_7 (+ (+ t_4 (- t_6 (sqrt y))) t_2))
(t_8 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_7 5e-8)
(+ (+ (* (sqrt (/ 1.0 x)) 0.5) t_2) t_8)
(if (<= t_7 1.0)
(+ (+ t_4 (* 0.5 t_5)) t_8)
(if (<= t_7 2.00005)
(- (+ (fma t_5 0.5 t_6) t_3) (+ (sqrt y) (sqrt x)))
(- (+ (+ t_3 t_1) t_6) (+ (+ (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 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_3 - sqrt(x);
double t_5 = sqrt((1.0 / z));
double t_6 = sqrt((y + 1.0));
double t_7 = (t_4 + (t_6 - sqrt(y))) + t_2;
double t_8 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_7 <= 5e-8) {
tmp = ((sqrt((1.0 / x)) * 0.5) + t_2) + t_8;
} else if (t_7 <= 1.0) {
tmp = (t_4 + (0.5 * t_5)) + t_8;
} else if (t_7 <= 2.00005) {
tmp = (fma(t_5, 0.5, t_6) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_3 + t_1) + t_6) - ((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 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_3 - sqrt(x)) t_5 = sqrt(Float64(1.0 / z)) t_6 = sqrt(Float64(y + 1.0)) t_7 = Float64(Float64(t_4 + Float64(t_6 - sqrt(y))) + t_2) t_8 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_7 <= 5e-8) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) * 0.5) + t_2) + t_8); elseif (t_7 <= 1.0) tmp = Float64(Float64(t_4 + Float64(0.5 * t_5)) + t_8); elseif (t_7 <= 2.00005) tmp = Float64(Float64(fma(t_5, 0.5, t_6) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_3 + t_1) + t_6) - 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[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$4 + N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$8 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 5e-8], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$8), $MachinePrecision], If[LessEqual[t$95$7, 1.0], N[(N[(t$95$4 + N[(0.5 * t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$8), $MachinePrecision], If[LessEqual[t$95$7, 2.00005], N[(N[(N[(t$95$5 * 0.5 + t$95$6), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$3 + t$95$1), $MachinePrecision] + t$95$6), $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 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_3 - \sqrt{x}\\
t_5 := \sqrt{\frac{1}{z}}\\
t_6 := \sqrt{y + 1}\\
t_7 := \left(t\_4 + \left(t\_6 - \sqrt{y}\right)\right) + t\_2\\
t_8 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_7 \leq 5 \cdot 10^{-8}:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} \cdot 0.5 + t\_2\right) + t\_8\\
\mathbf{elif}\;t\_7 \leq 1:\\
\;\;\;\;\left(t\_4 + 0.5 \cdot t\_5\right) + t\_8\\
\mathbf{elif}\;t\_7 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_5, 0.5, t\_6\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_3 + t\_1\right) + t\_6\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))) < 4.9999999999999998e-8Initial program 59.0%
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.f6470.7
Applied rewrites70.7%
Taylor expanded in y around inf
Applied rewrites70.7%
if 4.9999999999999998e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 96.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6468.4
Applied rewrites68.4%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6447.3
Applied rewrites47.3%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
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 rewrites5.4%
Taylor expanded in z around inf
Applied rewrites20.1%
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 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 rewrites67.6%
Applied rewrites67.6%
Final simplification41.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (+ (- t_3 (sqrt x)) (- t_4 (sqrt y))) t_2))
(t_6 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_5 0.1)
(+ (+ (* (sqrt (/ 1.0 x)) 0.5) t_2) t_6)
(if (<= t_5 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) 1.0)) t_2) t_6)
(if (<= t_5 2.00005)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_3) (+ (sqrt y) (sqrt x)))
(- (+ (+ t_3 t_1) t_4) (+ (+ (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 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((y + 1.0));
double t_5 = ((t_3 - sqrt(x)) + (t_4 - sqrt(y))) + t_2;
double t_6 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_5 <= 0.1) {
tmp = ((sqrt((1.0 / x)) * 0.5) + t_2) + t_6;
} else if (t_5 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + 1.0)) + t_2) + t_6;
} else if (t_5 <= 2.00005) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_3 + t_1) + t_4) - ((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 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_2) t_6 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_5 <= 0.1) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) * 0.5) + t_2) + t_6); elseif (t_5 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + 1.0)) + t_2) + t_6); elseif (t_5 <= 2.00005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_3 + t_1) + t_4) - 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[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $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, 0.1], 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, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$3 + t$95$1), $MachinePrecision] + t$95$4), $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 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_2\\
t_6 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_5 \leq 0.1:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} \cdot 0.5 + t\_2\right) + t\_6\\
\mathbf{elif}\;t\_5 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + 1} + t\_2\right) + t\_6\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_3 + t\_1\right) + t\_4\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))) < 0.10000000000000001Initial program 61.2%
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.f6472.0
Applied rewrites72.0%
Taylor expanded in y around inf
Applied rewrites65.3%
if 0.10000000000000001 < (+.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 97.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites97.9%
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-+.f6479.4
Applied rewrites79.4%
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.f6477.4
Applied rewrites77.4%
Taylor expanded in x around 0
Applied rewrites76.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
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 rewrites5.4%
Taylor expanded in z around inf
Applied rewrites20.1%
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 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 rewrites67.6%
Applied rewrites67.6%
Final simplification51.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0)))
(t_2 (- t_1 (sqrt t)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (- t_3 (sqrt z)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (sqrt (+ y 1.0)))
(t_7 (+ (- t_5 (sqrt x)) (- t_6 (sqrt y))))
(t_8 (+ t_7 t_4)))
(if (<= t_8 1.00002)
(+ (+ (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_5))) t_4) t_2)
(if (<= t_8 2.00005)
(+ (+ t_7 (* 0.5 (sqrt (/ 1.0 z)))) t_2)
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_1)) t_3) t_6)
(+ (+ (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((t + 1.0));
double t_2 = t_1 - sqrt(t);
double t_3 = sqrt((1.0 + z));
double t_4 = t_3 - sqrt(z);
double t_5 = sqrt((x + 1.0));
double t_6 = sqrt((y + 1.0));
double t_7 = (t_5 - sqrt(x)) + (t_6 - sqrt(y));
double t_8 = t_7 + t_4;
double tmp;
if (t_8 <= 1.00002) {
tmp = (fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_5))) + t_4) + t_2;
} else if (t_8 <= 2.00005) {
tmp = (t_7 + (0.5 * sqrt((1.0 / z)))) + t_2;
} else {
tmp = ((((1.0 / (sqrt(t) + t_1)) + t_3) + t_6) - ((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(t + 1.0)) t_2 = Float64(t_1 - sqrt(t)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(t_3 - sqrt(z)) t_5 = sqrt(Float64(x + 1.0)) t_6 = sqrt(Float64(y + 1.0)) t_7 = Float64(Float64(t_5 - sqrt(x)) + Float64(t_6 - sqrt(y))) t_8 = Float64(t_7 + t_4) tmp = 0.0 if (t_8 <= 1.00002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_5))) + t_4) + t_2); elseif (t_8 <= 2.00005) tmp = Float64(Float64(t_7 + Float64(0.5 * sqrt(Float64(1.0 / z)))) + t_2); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_1)) + t_3) + t_6) - 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[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$8 = N[(t$95$7 + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$8, 1.00002], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$8, 2.00005], N[(N[(t$95$7 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $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{t + 1}\\
t_2 := t\_1 - \sqrt{t}\\
t_3 := \sqrt{1 + z}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \sqrt{x + 1}\\
t_6 := \sqrt{y + 1}\\
t_7 := \left(t\_5 - \sqrt{x}\right) + \left(t\_6 - \sqrt{y}\right)\\
t_8 := t\_7 + t\_4\\
\mathbf{if}\;t\_8 \leq 1.00002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_5}\right) + t\_4\right) + t\_2\\
\mathbf{elif}\;t\_8 \leq 2.00005:\\
\;\;\;\;\left(t\_7 + 0.5 \cdot \sqrt{\frac{1}{z}}\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_1} + t\_3\right) + t\_6\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))) < 1.00001999999999991Initial program 88.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites89.7%
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-+.f6474.9
Applied rewrites74.9%
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.f6473.8
Applied rewrites73.8%
if 1.00001999999999991 < (+.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 97.0%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6432.6
Applied rewrites32.6%
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 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-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites89.7%
Final simplification60.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_2 (sqrt y))))
(t_4 (- t_1 (sqrt z)))
(t_5 (+ t_3 t_4))
(t_6 (sqrt (+ t 1.0)))
(t_7 (- t_6 (sqrt t))))
(if (<= t_5 5e-8)
(+ (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_4) t_7)
(if (<= t_5 2.00005)
(+ (+ t_3 (* 0.5 (sqrt (/ 1.0 z)))) t_7)
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_6)) t_1) t_2)
(+ (+ (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)) - sqrt(x)) + (t_2 - sqrt(y));
double t_4 = t_1 - sqrt(z);
double t_5 = t_3 + t_4;
double t_6 = sqrt((t + 1.0));
double t_7 = t_6 - sqrt(t);
double tmp;
if (t_5 <= 5e-8) {
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_4) + t_7;
} else if (t_5 <= 2.00005) {
tmp = (t_3 + (0.5 * sqrt((1.0 / z)))) + t_7;
} else {
tmp = ((((1.0 / (sqrt(t) + t_6)) + t_1) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = sqrt((y + 1.0d0))
t_3 = (sqrt((x + 1.0d0)) - sqrt(x)) + (t_2 - sqrt(y))
t_4 = t_1 - sqrt(z)
t_5 = t_3 + t_4
t_6 = sqrt((t + 1.0d0))
t_7 = t_6 - sqrt(t)
if (t_5 <= 5d-8) then
tmp = (((sqrt((1.0d0 / x)) + sqrt((1.0d0 / y))) * 0.5d0) + t_4) + t_7
else if (t_5 <= 2.00005d0) then
tmp = (t_3 + (0.5d0 * sqrt((1.0d0 / z)))) + t_7
else
tmp = ((((1.0d0 / (sqrt(t) + t_6)) + t_1) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = Math.sqrt((y + 1.0));
double t_3 = (Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (t_2 - Math.sqrt(y));
double t_4 = t_1 - Math.sqrt(z);
double t_5 = t_3 + t_4;
double t_6 = Math.sqrt((t + 1.0));
double t_7 = t_6 - Math.sqrt(t);
double tmp;
if (t_5 <= 5e-8) {
tmp = (((Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / y))) * 0.5) + t_4) + t_7;
} else if (t_5 <= 2.00005) {
tmp = (t_3 + (0.5 * Math.sqrt((1.0 / z)))) + t_7;
} else {
tmp = ((((1.0 / (Math.sqrt(t) + t_6)) + t_1) + t_2) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = math.sqrt((y + 1.0)) t_3 = (math.sqrt((x + 1.0)) - math.sqrt(x)) + (t_2 - math.sqrt(y)) t_4 = t_1 - math.sqrt(z) t_5 = t_3 + t_4 t_6 = math.sqrt((t + 1.0)) t_7 = t_6 - math.sqrt(t) tmp = 0 if t_5 <= 5e-8: tmp = (((math.sqrt((1.0 / x)) + math.sqrt((1.0 / y))) * 0.5) + t_4) + t_7 elif t_5 <= 2.00005: tmp = (t_3 + (0.5 * math.sqrt((1.0 / z)))) + t_7 else: tmp = ((((1.0 / (math.sqrt(t) + t_6)) + t_1) + t_2) - ((math.sqrt(y) + math.sqrt(z)) + math.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 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_2 - sqrt(y))) t_4 = Float64(t_1 - sqrt(z)) t_5 = Float64(t_3 + t_4) t_6 = sqrt(Float64(t + 1.0)) t_7 = Float64(t_6 - sqrt(t)) tmp = 0.0 if (t_5 <= 5e-8) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_4) + t_7); elseif (t_5 <= 2.00005) tmp = Float64(Float64(t_3 + Float64(0.5 * sqrt(Float64(1.0 / z)))) + t_7); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_6)) + t_1) + t_2) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); 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((1.0 + z));
t_2 = sqrt((y + 1.0));
t_3 = (sqrt((x + 1.0)) - sqrt(x)) + (t_2 - sqrt(y));
t_4 = t_1 - sqrt(z);
t_5 = t_3 + t_4;
t_6 = sqrt((t + 1.0));
t_7 = t_6 - sqrt(t);
tmp = 0.0;
if (t_5 <= 5e-8)
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_4) + t_7;
elseif (t_5 <= 2.00005)
tmp = (t_3 + (0.5 * sqrt((1.0 / z)))) + t_7;
else
tmp = ((((1.0 / (sqrt(t) + t_6)) + t_1) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := 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[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 + t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(t$95$6 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-8], N[(N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$7), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(t$95$3 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$7), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$6), $MachinePrecision]), $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] + 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 := \left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\\
t_4 := t\_1 - \sqrt{z}\\
t_5 := t\_3 + t\_4\\
t_6 := \sqrt{t + 1}\\
t_7 := t\_6 - \sqrt{t}\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-8}:\\
\;\;\;\;\left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_4\right) + t\_7\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(t\_3 + 0.5 \cdot \sqrt{\frac{1}{z}}\right) + t\_7\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_6} + t\_1\right) + t\_2\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))) < 4.9999999999999998e-8Initial program 59.0%
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.f6470.7
Applied rewrites70.7%
Taylor expanded in y around inf
Applied rewrites71.0%
if 4.9999999999999998e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.0%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6450.6
Applied rewrites50.6%
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 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-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites89.7%
Final simplification57.9%
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)))
(t_2 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (- t_3 (sqrt y)))
(t_5 (- t_1 (sqrt z)))
(t_6 (+ (+ t_2 t_4) t_5))
(t_7 (sqrt (+ t 1.0)))
(t_8 (- t_7 (sqrt t))))
(if (<= t_6 5e-8)
(+ (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_5) t_8)
(if (<= t_6 2.00005)
(+ (+ (+ (/ 0.5 (sqrt z)) t_8) t_4) t_2)
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_7)) t_1) t_3)
(+ (+ (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((x + 1.0)) - sqrt(x);
double t_3 = sqrt((y + 1.0));
double t_4 = t_3 - sqrt(y);
double t_5 = t_1 - sqrt(z);
double t_6 = (t_2 + t_4) + t_5;
double t_7 = sqrt((t + 1.0));
double t_8 = t_7 - sqrt(t);
double tmp;
if (t_6 <= 5e-8) {
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_5) + t_8;
} else if (t_6 <= 2.00005) {
tmp = (((0.5 / sqrt(z)) + t_8) + t_4) + t_2;
} else {
tmp = ((((1.0 / (sqrt(t) + t_7)) + t_1) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: t_8
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = sqrt((x + 1.0d0)) - sqrt(x)
t_3 = sqrt((y + 1.0d0))
t_4 = t_3 - sqrt(y)
t_5 = t_1 - sqrt(z)
t_6 = (t_2 + t_4) + t_5
t_7 = sqrt((t + 1.0d0))
t_8 = t_7 - sqrt(t)
if (t_6 <= 5d-8) then
tmp = (((sqrt((1.0d0 / x)) + sqrt((1.0d0 / y))) * 0.5d0) + t_5) + t_8
else if (t_6 <= 2.00005d0) then
tmp = (((0.5d0 / sqrt(z)) + t_8) + t_4) + t_2
else
tmp = ((((1.0d0 / (sqrt(t) + t_7)) + t_1) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = Math.sqrt((x + 1.0)) - Math.sqrt(x);
double t_3 = Math.sqrt((y + 1.0));
double t_4 = t_3 - Math.sqrt(y);
double t_5 = t_1 - Math.sqrt(z);
double t_6 = (t_2 + t_4) + t_5;
double t_7 = Math.sqrt((t + 1.0));
double t_8 = t_7 - Math.sqrt(t);
double tmp;
if (t_6 <= 5e-8) {
tmp = (((Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / y))) * 0.5) + t_5) + t_8;
} else if (t_6 <= 2.00005) {
tmp = (((0.5 / Math.sqrt(z)) + t_8) + t_4) + t_2;
} else {
tmp = ((((1.0 / (Math.sqrt(t) + t_7)) + t_1) + t_3) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = math.sqrt((x + 1.0)) - math.sqrt(x) t_3 = math.sqrt((y + 1.0)) t_4 = t_3 - math.sqrt(y) t_5 = t_1 - math.sqrt(z) t_6 = (t_2 + t_4) + t_5 t_7 = math.sqrt((t + 1.0)) t_8 = t_7 - math.sqrt(t) tmp = 0 if t_6 <= 5e-8: tmp = (((math.sqrt((1.0 / x)) + math.sqrt((1.0 / y))) * 0.5) + t_5) + t_8 elif t_6 <= 2.00005: tmp = (((0.5 / math.sqrt(z)) + t_8) + t_4) + t_2 else: tmp = ((((1.0 / (math.sqrt(t) + t_7)) + t_1) + t_3) - ((math.sqrt(y) + math.sqrt(z)) + math.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 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(t_3 - sqrt(y)) t_5 = Float64(t_1 - sqrt(z)) t_6 = Float64(Float64(t_2 + t_4) + t_5) t_7 = sqrt(Float64(t + 1.0)) t_8 = Float64(t_7 - sqrt(t)) tmp = 0.0 if (t_6 <= 5e-8) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_5) + t_8); elseif (t_6 <= 2.00005) tmp = Float64(Float64(Float64(Float64(0.5 / sqrt(z)) + t_8) + t_4) + t_2); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_7)) + t_1) + t_3) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); 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((1.0 + z));
t_2 = sqrt((x + 1.0)) - sqrt(x);
t_3 = sqrt((y + 1.0));
t_4 = t_3 - sqrt(y);
t_5 = t_1 - sqrt(z);
t_6 = (t_2 + t_4) + t_5;
t_7 = sqrt((t + 1.0));
t_8 = t_7 - sqrt(t);
tmp = 0.0;
if (t_6 <= 5e-8)
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_5) + t_8;
elseif (t_6 <= 2.00005)
tmp = (((0.5 / sqrt(z)) + t_8) + t_4) + t_2;
else
tmp = ((((1.0 / (sqrt(t) + t_7)) + t_1) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$2 + t$95$4), $MachinePrecision] + t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$8 = N[(t$95$7 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 5e-8], N[(N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$8), $MachinePrecision], If[LessEqual[t$95$6, 2.00005], N[(N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$8), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $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{x + 1} - \sqrt{x}\\
t_3 := \sqrt{y + 1}\\
t_4 := t\_3 - \sqrt{y}\\
t_5 := t\_1 - \sqrt{z}\\
t_6 := \left(t\_2 + t\_4\right) + t\_5\\
t_7 := \sqrt{t + 1}\\
t_8 := t\_7 - \sqrt{t}\\
\mathbf{if}\;t\_6 \leq 5 \cdot 10^{-8}:\\
\;\;\;\;\left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_5\right) + t\_8\\
\mathbf{elif}\;t\_6 \leq 2.00005:\\
\;\;\;\;\left(\left(\frac{0.5}{\sqrt{z}} + t\_8\right) + t\_4\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_7} + t\_1\right) + t\_3\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))) < 4.9999999999999998e-8Initial program 59.0%
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.f6470.7
Applied rewrites70.7%
Taylor expanded in y around inf
Applied rewrites71.0%
if 4.9999999999999998e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.0%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6450.6
Applied rewrites50.6%
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-+.f64N/A
associate-+l+N/A
lower-+.f64N/A
Applied rewrites50.6%
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 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-+.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites89.7%
Final simplification57.9%
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)) (sqrt z)))
(t_3 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_4 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_5 (+ (+ t_3 t_4) t_2)))
(if (<= t_5 5e-8)
(+ (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_2) t_1)
(if (<= t_5 2.00005)
(+ (+ (+ (/ 0.5 (sqrt z)) t_1) t_4) t_3)
(+ (+ (+ (- 1.0 (sqrt x)) t_4) t_2) 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)) - sqrt(z);
double t_3 = sqrt((x + 1.0)) - sqrt(x);
double t_4 = sqrt((y + 1.0)) - sqrt(y);
double t_5 = (t_3 + t_4) + t_2;
double tmp;
if (t_5 <= 5e-8) {
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_2) + t_1;
} else if (t_5 <= 2.00005) {
tmp = (((0.5 / sqrt(z)) + t_1) + t_4) + t_3;
} else {
tmp = (((1.0 - sqrt(x)) + t_4) + t_2) + t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((t + 1.0d0)) - sqrt(t)
t_2 = sqrt((1.0d0 + z)) - sqrt(z)
t_3 = sqrt((x + 1.0d0)) - sqrt(x)
t_4 = sqrt((y + 1.0d0)) - sqrt(y)
t_5 = (t_3 + t_4) + t_2
if (t_5 <= 5d-8) then
tmp = (((sqrt((1.0d0 / x)) + sqrt((1.0d0 / y))) * 0.5d0) + t_2) + t_1
else if (t_5 <= 2.00005d0) then
tmp = (((0.5d0 / sqrt(z)) + t_1) + t_4) + t_3
else
tmp = (((1.0d0 - sqrt(x)) + t_4) + t_2) + t_1
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_2 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_3 = Math.sqrt((x + 1.0)) - Math.sqrt(x);
double t_4 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_5 = (t_3 + t_4) + t_2;
double tmp;
if (t_5 <= 5e-8) {
tmp = (((Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / y))) * 0.5) + t_2) + t_1;
} else if (t_5 <= 2.00005) {
tmp = (((0.5 / Math.sqrt(z)) + t_1) + t_4) + t_3;
} else {
tmp = (((1.0 - Math.sqrt(x)) + t_4) + t_2) + t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) - math.sqrt(t) t_2 = math.sqrt((1.0 + z)) - math.sqrt(z) t_3 = math.sqrt((x + 1.0)) - math.sqrt(x) t_4 = math.sqrt((y + 1.0)) - math.sqrt(y) t_5 = (t_3 + t_4) + t_2 tmp = 0 if t_5 <= 5e-8: tmp = (((math.sqrt((1.0 / x)) + math.sqrt((1.0 / y))) * 0.5) + t_2) + t_1 elif t_5 <= 2.00005: tmp = (((0.5 / math.sqrt(z)) + t_1) + t_4) + t_3 else: tmp = (((1.0 - math.sqrt(x)) + t_4) + t_2) + t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_4 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_5 = Float64(Float64(t_3 + t_4) + t_2) tmp = 0.0 if (t_5 <= 5e-8) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_2) + t_1); elseif (t_5 <= 2.00005) tmp = Float64(Float64(Float64(Float64(0.5 / sqrt(z)) + t_1) + t_4) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_4) + t_2) + t_1); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0)) - sqrt(t);
t_2 = sqrt((1.0 + z)) - sqrt(z);
t_3 = sqrt((x + 1.0)) - sqrt(x);
t_4 = sqrt((y + 1.0)) - sqrt(y);
t_5 = (t_3 + t_4) + t_2;
tmp = 0.0;
if (t_5 <= 5e-8)
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_2) + t_1;
elseif (t_5 <= 2.00005)
tmp = (((0.5 / sqrt(z)) + t_1) + t_4) + t_3;
else
tmp = (((1.0 - sqrt(x)) + t_4) + t_2) + t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-8], N[(N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $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} - \sqrt{z}\\
t_3 := \sqrt{x + 1} - \sqrt{x}\\
t_4 := \sqrt{y + 1} - \sqrt{y}\\
t_5 := \left(t\_3 + t\_4\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-8}:\\
\;\;\;\;\left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_2\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\left(\frac{0.5}{\sqrt{z}} + t\_1\right) + t\_4\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_4\right) + t\_2\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))) < 4.9999999999999998e-8Initial program 59.0%
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.f6470.7
Applied rewrites70.7%
Taylor expanded in y around inf
Applied rewrites71.0%
if 4.9999999999999998e-8 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.0%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6450.6
Applied rewrites50.6%
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-+.f64N/A
associate-+l+N/A
lower-+.f64N/A
Applied rewrites50.6%
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 97.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6487.9
Applied rewrites87.9%
Final simplification57.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (* 0.5 (sqrt (/ 1.0 z))))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (+ (- t_3 (sqrt x)) (- t_5 (sqrt y))) (- t_2 (sqrt z)))))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_3)) t_4) t_1)
(if (<= t_6 2.00005)
(+ (+ (- (+ t_5 1.0) (+ (sqrt y) (sqrt x))) t_4) t_1)
(+
(- (+ 2.0 (fma 0.5 x t_2)) (+ (+ (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((x + 1.0));
double t_4 = 0.5 * sqrt((1.0 / z));
double t_5 = sqrt((y + 1.0));
double t_6 = ((t_3 - sqrt(x)) + (t_5 - sqrt(y))) + (t_2 - sqrt(z));
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_3)) + t_4) + t_1;
} else if (t_6 <= 2.00005) {
tmp = (((t_5 + 1.0) - (sqrt(y) + sqrt(x))) + t_4) + t_1;
} else {
tmp = ((2.0 + fma(0.5, x, t_2)) - ((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(x + 1.0)) t_4 = Float64(0.5 * sqrt(Float64(1.0 / z))) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_5 - sqrt(y))) + Float64(t_2 - sqrt(z))) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + t_4) + t_1); elseif (t_6 <= 2.00005) tmp = Float64(Float64(Float64(Float64(t_5 + 1.0) - Float64(sqrt(y) + sqrt(x))) + t_4) + t_1); else tmp = Float64(Float64(Float64(2.0 + fma(0.5, x, t_2)) - 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$6, 2.00005], N[(N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(2.0 + N[(0.5 * x + t$95$2), $MachinePrecision]), $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{x + 1}\\
t_4 := 0.5 \cdot \sqrt{\frac{1}{z}}\\
t_5 := \sqrt{y + 1}\\
t_6 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_5 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_3} + t\_4\right) + t\_1\\
\mathbf{elif}\;t\_6 \leq 2.00005:\\
\;\;\;\;\left(\left(\left(t\_5 + 1\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + t\_4\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(2 + \mathsf{fma}\left(0.5, x, t\_2\right)\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))) < 1Initial program 88.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites90.0%
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-+.f6476.2
Applied rewrites76.2%
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.f6474.5
Applied rewrites74.5%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6454.8
Applied rewrites54.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6434.1
Applied rewrites34.1%
Taylor expanded in x around 0
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.1
Applied rewrites27.1%
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 97.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites90.3%
Taylor expanded in y around 0
Applied rewrites84.7%
Final simplification47.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (/ 1.0 z)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (+ (- t_3 (sqrt x)) (- t_5 (sqrt y))) (- t_2 (sqrt z)))))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_3)) (* 0.5 t_4)) t_1)
(if (<= t_6 2.00005)
(- (+ (fma t_4 0.5 t_5) t_3) (+ (sqrt y) (sqrt x)))
(+
(- (+ 2.0 (fma 0.5 x t_2)) (+ (+ (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((x + 1.0));
double t_4 = sqrt((1.0 / z));
double t_5 = sqrt((y + 1.0));
double t_6 = ((t_3 - sqrt(x)) + (t_5 - sqrt(y))) + (t_2 - sqrt(z));
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_3)) + (0.5 * t_4)) + t_1;
} else if (t_6 <= 2.00005) {
tmp = (fma(t_4, 0.5, t_5) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = ((2.0 + fma(0.5, x, t_2)) - ((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(x + 1.0)) t_4 = sqrt(Float64(1.0 / z)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_5 - sqrt(y))) + Float64(t_2 - sqrt(z))) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + Float64(0.5 * t_4)) + t_1); elseif (t_6 <= 2.00005) tmp = Float64(Float64(fma(t_4, 0.5, t_5) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(2.0 + fma(0.5, x, t_2)) - 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(0.5 * t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$6, 2.00005], N[(N[(N[(t$95$4 * 0.5 + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(2.0 + N[(0.5 * x + t$95$2), $MachinePrecision]), $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{x + 1}\\
t_4 := \sqrt{\frac{1}{z}}\\
t_5 := \sqrt{y + 1}\\
t_6 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_5 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_3} + 0.5 \cdot t\_4\right) + t\_1\\
\mathbf{elif}\;t\_6 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_4, 0.5, t\_5\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(2 + \mathsf{fma}\left(0.5, x, t\_2\right)\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))) < 1Initial program 88.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites90.0%
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-+.f6476.2
Applied rewrites76.2%
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.f6474.5
Applied rewrites74.5%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6454.8
Applied rewrites54.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
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 rewrites5.4%
Taylor expanded in z around inf
Applied rewrites20.1%
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 97.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites90.3%
Taylor expanded in y around 0
Applied rewrites84.7%
Final simplification45.1%
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 (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0)
(+ (+ (- (sqrt z) (sqrt z)) (/ 1.0 (+ (sqrt x) t_2))) t_3)
(if (<= t_5 2.00005)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_2) (+ (sqrt y) (sqrt x)))
(+
(- (+ 2.0 (fma 0.5 x t_1)) (+ (+ (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((1.0 + z));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = ((sqrt(z) - sqrt(z)) + (1.0 / (sqrt(x) + t_2))) + t_3;
} else if (t_5 <= 2.00005) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = ((2.0 + fma(0.5, x, t_1)) - ((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(1.0 + z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(Float64(sqrt(z) - sqrt(z)) + Float64(1.0 / Float64(sqrt(x) + t_2))) + t_3); elseif (t_5 <= 2.00005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(2.0 + fma(0.5, x, t_1)) - 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[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(N[Sqrt[z], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(2.0 + N[(0.5 * x + t$95$1), $MachinePrecision]), $MachinePrecision] - 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{1 + z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\left(\sqrt{z} - \sqrt{z}\right) + \frac{1}{\sqrt{x} + t\_2}\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(2 + \mathsf{fma}\left(0.5, x, t\_1\right)\right) - \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))) < 1Initial program 88.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites90.0%
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-+.f6476.2
Applied rewrites76.2%
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.f6474.5
Applied rewrites74.5%
Taylor expanded in z around inf
lower-sqrt.f6452.9
Applied rewrites52.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
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 rewrites5.4%
Taylor expanded in z around inf
Applied rewrites20.1%
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 97.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites90.3%
Taylor expanded in y around 0
Applied rewrites84.7%
Final simplification44.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (+ (- t_3 (sqrt x)) (- t_4 (sqrt y))) t_2)))
(if (<= t_5 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) 1.0)) t_2) (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_5 2.00005)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_3) (+ (sqrt y) (sqrt x)))
(- (+ (+ t_3 t_1) t_4) (+ (+ (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 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((y + 1.0));
double t_5 = ((t_3 - sqrt(x)) + (t_4 - sqrt(y))) + t_2;
double tmp;
if (t_5 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + 1.0)) + t_2) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_5 <= 2.00005) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_3 + t_1) + t_4) - ((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 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_2) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + 1.0)) + t_2) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_5 <= 2.00005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_3 + t_1) + t_4) - 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[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$3 + t$95$1), $MachinePrecision] + t$95$4), $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 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + 1} + t\_2\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_3 + t\_1\right) + t\_4\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 88.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites90.0%
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-+.f6476.2
Applied rewrites76.2%
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.f6474.5
Applied rewrites74.5%
Taylor expanded in x around 0
Applied rewrites71.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
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 rewrites5.4%
Taylor expanded in z around inf
Applied rewrites20.1%
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 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 rewrites67.6%
Applied rewrites67.6%
Final simplification50.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (+ (- t_3 (sqrt x)) (- t_4 (sqrt y))) t_2)))
(if (<= t_5 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) 1.0)) t_2) (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_5 2.00005)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_3) (+ (sqrt y) (sqrt x)))
(+ (- (+ t_4 1.0) (+ (+ (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((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((y + 1.0));
double t_5 = ((t_3 - sqrt(x)) + (t_4 - sqrt(y))) + t_2;
double tmp;
if (t_5 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + 1.0)) + t_2) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_5 <= 2.00005) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_4 + 1.0) - ((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 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_2) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + 1.0)) + t_2) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_5 <= 2.00005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_4 + 1.0) - 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[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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $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{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + 1} + t\_2\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\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))) < 1Initial program 88.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites90.0%
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-+.f6476.2
Applied rewrites76.2%
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.f6474.5
Applied rewrites74.5%
Taylor expanded in x around 0
Applied rewrites71.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
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 rewrites5.4%
Taylor expanded in z around inf
Applied rewrites20.1%
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 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 rewrites67.6%
Applied rewrites67.5%
Taylor expanded in x around 0
Applied rewrites60.4%
Final simplification49.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0)
(+ (- (+ t_4 t_1) t_3) 1.0)
(if (<= t_5 2.00005)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_2) (+ (sqrt y) (sqrt x)))
(+ (- (+ t_4 1.0) t_3) 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((x + 1.0));
double t_3 = (sqrt(y) + sqrt(z)) + sqrt(x);
double t_4 = sqrt((y + 1.0));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = ((t_4 + t_1) - t_3) + 1.0;
} else if (t_5 <= 2.00005) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_4 + 1.0) - t_3) + 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(x + 1.0)) t_3 = Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(Float64(t_4 + t_1) - t_3) + 1.0); elseif (t_5 <= 2.00005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_4 + 1.0) - t_3) + 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(t$95$4 + t$95$1), $MachinePrecision] - t$95$3), $MachinePrecision] + 1.0), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] - t$95$3), $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{x + 1}\\
t_3 := \left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\left(t\_4 + t\_1\right) - t\_3\right) + 1\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) - t\_3\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))) < 1Initial program 88.9%
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 rewrites3.2%
Taylor expanded in z around inf
Applied rewrites1.7%
Taylor expanded in x around 0
Applied rewrites34.4%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 95.2%
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 rewrites5.4%
Taylor expanded in z around inf
Applied rewrites20.1%
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 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 rewrites67.6%
Applied rewrites67.5%
Taylor expanded in x around 0
Applied rewrites60.4%
Final simplification32.3%
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) (sqrt z)) (sqrt x)))
(t_3 (sqrt (+ y 1.0)))
(t_4
(+
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_3 (sqrt y)))
(- t_1 (sqrt z)))))
(if (<= t_4 1.0)
(+ (- (+ t_3 t_1) t_2) 1.0)
(if (<= t_4 2.0)
(+
(- (+ (fma 0.5 x t_3) 1.0) (+ (sqrt y) (sqrt x)))
(- (sqrt (+ t 1.0)) (sqrt t)))
(+ (- (+ t_3 1.0) t_2) 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) + sqrt(z)) + sqrt(x);
double t_3 = sqrt((y + 1.0));
double t_4 = ((sqrt((x + 1.0)) - sqrt(x)) + (t_3 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1.0) {
tmp = ((t_3 + t_1) - t_2) + 1.0;
} else if (t_4 <= 2.0) {
tmp = ((fma(0.5, x, t_3) + 1.0) - (sqrt(y) + sqrt(x))) + (sqrt((t + 1.0)) - sqrt(t));
} else {
tmp = ((t_3 + 1.0) - t_2) + 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 = Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_3 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(Float64(t_3 + t_1) - t_2) + 1.0); elseif (t_4 <= 2.0) tmp = Float64(Float64(Float64(fma(0.5, x, t_3) + 1.0) - Float64(sqrt(y) + sqrt(x))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); else tmp = Float64(Float64(Float64(t_3 + 1.0) - t_2) + 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[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[(t$95$3 + t$95$1), $MachinePrecision] - t$95$2), $MachinePrecision] + 1.0), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(N[(N[(0.5 * x + t$95$3), $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$3 + 1.0), $MachinePrecision] - t$95$2), $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 := \left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(\left(t\_3 + t\_1\right) - t\_2\right) + 1\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_3\right) + 1\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_3 + 1\right) - t\_2\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))) < 1Initial program 88.9%
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 rewrites3.2%
Taylor expanded in z around inf
Applied rewrites1.7%
Taylor expanded in x around 0
Applied rewrites34.4%
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 95.4%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites9.0%
Taylor expanded in z around inf
Applied rewrites29.5%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 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 rewrites66.3%
Applied rewrites66.2%
Taylor expanded in x around 0
Applied rewrites59.3%
Final simplification36.0%
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 (+ x 1.0)))
(t_3 (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0)
(+ (- (+ t_4 t_1) t_3) 1.0)
(if (<= t_5 2.0)
(- (+ t_4 t_2) (+ (sqrt y) (sqrt x)))
(+ (- (+ t_4 1.0) t_3) 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((x + 1.0));
double t_3 = (sqrt(y) + sqrt(z)) + sqrt(x);
double t_4 = sqrt((y + 1.0));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = ((t_4 + t_1) - t_3) + 1.0;
} else if (t_5 <= 2.0) {
tmp = (t_4 + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_4 + 1.0) - t_3) + t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = sqrt((x + 1.0d0))
t_3 = (sqrt(y) + sqrt(z)) + sqrt(x)
t_4 = sqrt((y + 1.0d0))
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z))
if (t_5 <= 1.0d0) then
tmp = ((t_4 + t_1) - t_3) + 1.0d0
else if (t_5 <= 2.0d0) then
tmp = (t_4 + t_2) - (sqrt(y) + sqrt(x))
else
tmp = ((t_4 + 1.0d0) - t_3) + 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((1.0 + z));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = (Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x);
double t_4 = Math.sqrt((y + 1.0));
double t_5 = ((t_2 - Math.sqrt(x)) + (t_4 - Math.sqrt(y))) + (t_1 - Math.sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = ((t_4 + t_1) - t_3) + 1.0;
} else if (t_5 <= 2.0) {
tmp = (t_4 + t_2) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((t_4 + 1.0) - t_3) + t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = math.sqrt((x + 1.0)) t_3 = (math.sqrt(y) + math.sqrt(z)) + math.sqrt(x) t_4 = math.sqrt((y + 1.0)) t_5 = ((t_2 - math.sqrt(x)) + (t_4 - math.sqrt(y))) + (t_1 - math.sqrt(z)) tmp = 0 if t_5 <= 1.0: tmp = ((t_4 + t_1) - t_3) + 1.0 elif t_5 <= 2.0: tmp = (t_4 + t_2) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((t_4 + 1.0) - t_3) + 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(x + 1.0)) t_3 = Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(Float64(t_4 + t_1) - t_3) + 1.0); elseif (t_5 <= 2.0) tmp = Float64(Float64(t_4 + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_4 + 1.0) - t_3) + 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((1.0 + z));
t_2 = sqrt((x + 1.0));
t_3 = (sqrt(y) + sqrt(z)) + sqrt(x);
t_4 = sqrt((y + 1.0));
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
tmp = 0.0;
if (t_5 <= 1.0)
tmp = ((t_4 + t_1) - t_3) + 1.0;
elseif (t_5 <= 2.0)
tmp = (t_4 + t_2) - (sqrt(y) + sqrt(x));
else
tmp = ((t_4 + 1.0) - t_3) + 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[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(t$95$4 + t$95$1), $MachinePrecision] - t$95$3), $MachinePrecision] + 1.0), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(t$95$4 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] - t$95$3), $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{x + 1}\\
t_3 := \left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\left(t\_4 + t\_1\right) - t\_3\right) + 1\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(t\_4 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) - t\_3\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))) < 1Initial program 88.9%
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 rewrites3.2%
Taylor expanded in z around inf
Applied rewrites1.7%
Taylor expanded in x around 0
Applied rewrites34.4%
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 95.4%
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 rewrites5.3%
Taylor expanded in z around inf
Applied rewrites20.1%
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 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 rewrites66.3%
Applied rewrites66.2%
Taylor expanded in x around 0
Applied rewrites59.3%
Final simplification32.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (+ (- t_2 (sqrt x)) (- t_3 (sqrt y))) (- t_1 (sqrt z))))
(t_5 (+ (- (+ t_3 t_1) (+ (+ (sqrt y) (sqrt z)) (sqrt x))) 1.0)))
(if (<= t_4 1.0)
t_5
(if (<= t_4 2.0) (- (+ t_3 t_2) (+ (sqrt y) (sqrt x))) t_5))))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((x + 1.0));
double t_3 = sqrt((y + 1.0));
double t_4 = ((t_2 - sqrt(x)) + (t_3 - sqrt(y))) + (t_1 - sqrt(z));
double t_5 = ((t_3 + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
double tmp;
if (t_4 <= 1.0) {
tmp = t_5;
} else if (t_4 <= 2.0) {
tmp = (t_3 + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = t_5;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((y + 1.0d0))
t_4 = ((t_2 - sqrt(x)) + (t_3 - sqrt(y))) + (t_1 - sqrt(z))
t_5 = ((t_3 + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
if (t_4 <= 1.0d0) then
tmp = t_5
else if (t_4 <= 2.0d0) then
tmp = (t_3 + t_2) - (sqrt(y) + sqrt(x))
else
tmp = t_5
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((1.0 + z));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((y + 1.0));
double t_4 = ((t_2 - Math.sqrt(x)) + (t_3 - Math.sqrt(y))) + (t_1 - Math.sqrt(z));
double t_5 = ((t_3 + t_1) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
double tmp;
if (t_4 <= 1.0) {
tmp = t_5;
} else if (t_4 <= 2.0) {
tmp = (t_3 + t_2) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = t_5;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((y + 1.0)) t_4 = ((t_2 - math.sqrt(x)) + (t_3 - math.sqrt(y))) + (t_1 - math.sqrt(z)) t_5 = ((t_3 + t_1) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) + 1.0 tmp = 0 if t_4 <= 1.0: tmp = t_5 elif t_4 <= 2.0: tmp = (t_3 + t_2) - (math.sqrt(y) + math.sqrt(x)) else: tmp = t_5 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(x + 1.0)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_3 - sqrt(y))) + Float64(t_1 - sqrt(z))) t_5 = Float64(Float64(Float64(t_3 + t_1) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0) tmp = 0.0 if (t_4 <= 1.0) tmp = t_5; elseif (t_4 <= 2.0) tmp = Float64(Float64(t_3 + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = t_5; 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((1.0 + z));
t_2 = sqrt((x + 1.0));
t_3 = sqrt((y + 1.0));
t_4 = ((t_2 - sqrt(x)) + (t_3 - sqrt(y))) + (t_1 - sqrt(z));
t_5 = ((t_3 + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
tmp = 0.0;
if (t_4 <= 1.0)
tmp = t_5;
elseif (t_4 <= 2.0)
tmp = (t_3 + t_2) - (sqrt(y) + sqrt(x));
else
tmp = t_5;
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[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], t$95$5, 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], t$95$5]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
t_5 := \left(\left(t\_3 + t\_1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(t\_3 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_5\\
\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 or 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 90.7%
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 rewrites17.8%
Taylor expanded in z around inf
Applied rewrites1.7%
Taylor expanded in x around 0
Applied rewrites40.2%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 95.4%
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 rewrites5.3%
Taylor expanded in z around inf
Applied rewrites20.1%
Final simplification32.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (sqrt y) t_3)))
(if (<= (- t_2 (sqrt z)) 2e-6)
(+
(+
(* 0.5 (sqrt (/ 1.0 z)))
(/ (+ (+ (sqrt x) 1.0) t_4) (* t_4 (+ (sqrt x) (sqrt (+ x 1.0))))))
(- t_1 (sqrt t)))
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_1)) t_2) t_3)
(+ (+ (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((t + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt(y) + t_3;
double tmp;
if ((t_2 - sqrt(z)) <= 2e-6) {
tmp = ((0.5 * sqrt((1.0 / z))) + (((sqrt(x) + 1.0) + t_4) / (t_4 * (sqrt(x) + sqrt((x + 1.0)))))) + (t_1 - sqrt(t));
} else {
tmp = ((((1.0 / (sqrt(t) + t_1)) + t_2) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((t + 1.0d0))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((y + 1.0d0))
t_4 = sqrt(y) + t_3
if ((t_2 - sqrt(z)) <= 2d-6) then
tmp = ((0.5d0 * sqrt((1.0d0 / z))) + (((sqrt(x) + 1.0d0) + t_4) / (t_4 * (sqrt(x) + sqrt((x + 1.0d0)))))) + (t_1 - sqrt(t))
else
tmp = ((((1.0d0 / (sqrt(t) + t_1)) + t_2) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((y + 1.0));
double t_4 = Math.sqrt(y) + t_3;
double tmp;
if ((t_2 - Math.sqrt(z)) <= 2e-6) {
tmp = ((0.5 * Math.sqrt((1.0 / z))) + (((Math.sqrt(x) + 1.0) + t_4) / (t_4 * (Math.sqrt(x) + Math.sqrt((x + 1.0)))))) + (t_1 - Math.sqrt(t));
} else {
tmp = ((((1.0 / (Math.sqrt(t) + t_1)) + t_2) + t_3) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((y + 1.0)) t_4 = math.sqrt(y) + t_3 tmp = 0 if (t_2 - math.sqrt(z)) <= 2e-6: tmp = ((0.5 * math.sqrt((1.0 / z))) + (((math.sqrt(x) + 1.0) + t_4) / (t_4 * (math.sqrt(x) + math.sqrt((x + 1.0)))))) + (t_1 - math.sqrt(t)) else: tmp = ((((1.0 / (math.sqrt(t) + t_1)) + t_2) + t_3) - ((math.sqrt(y) + math.sqrt(z)) + math.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(t + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(sqrt(y) + t_3) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 2e-6) tmp = Float64(Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + Float64(Float64(Float64(sqrt(x) + 1.0) + t_4) / Float64(t_4 * Float64(sqrt(x) + sqrt(Float64(x + 1.0)))))) + Float64(t_1 - sqrt(t))); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_1)) + t_2) + t_3) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((y + 1.0));
t_4 = sqrt(y) + t_3;
tmp = 0.0;
if ((t_2 - sqrt(z)) <= 2e-6)
tmp = ((0.5 * sqrt((1.0 / z))) + (((sqrt(x) + 1.0) + t_4) / (t_4 * (sqrt(x) + sqrt((x + 1.0)))))) + (t_1 - sqrt(t));
else
tmp = ((((1.0 / (sqrt(t) + t_1)) + t_2) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $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[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 2e-6], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision] + t$95$4), $MachinePrecision] / N[(t$95$4 * N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $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{t + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{y} + t\_3\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 2 \cdot 10^{-6}:\\
\;\;\;\;\left(0.5 \cdot \sqrt{\frac{1}{z}} + \frac{\left(\sqrt{x} + 1\right) + t\_4}{t\_4 \cdot \left(\sqrt{x} + \sqrt{x + 1}\right)}\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_1} + t\_2\right) + t\_3\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 1.99999999999999991e-6Initial program 87.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites89.1%
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-+.f6473.5
Applied rewrites73.5%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6476.5
Applied rewrites76.5%
if 1.99999999999999991e-6 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 96.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.8
Applied rewrites96.8%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites34.9%
Final simplification54.1%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y))))
(if (<= (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_3) t_2) 0.1)
(+ (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_2) t_1)
(+ (+ (+ (fma 0.5 x (- 1.0 (sqrt x))) t_3) t_2) 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)) - sqrt(z);
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double tmp;
if ((((sqrt((x + 1.0)) - sqrt(x)) + t_3) + t_2) <= 0.1) {
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_2) + t_1;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + t_3) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) tmp = 0.0 if (Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_3) + t_2) <= 0.1) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_2) + t_1); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_3) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision], 0.1], N[(N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $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} - \sqrt{z}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
\mathbf{if}\;\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + t\_3\right) + t\_2 \leq 0.1:\\
\;\;\;\;\left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_2\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_3\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 61.2%
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.f6472.0
Applied rewrites72.0%
Taylor expanded in y around inf
Applied rewrites70.7%
if 0.10000000000000001 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6457.0
Applied rewrites57.0%
Final simplification58.5%
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 (+ y 1.0)) (sqrt y)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_1 5e-6)
(+
(+ (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_2))) (- t_3 (sqrt z)))
t_4)
(+
(+ (/ (- (+ 1.0 z) z) (+ (sqrt z) t_3)) (+ (- t_2 (sqrt x)) t_1))
t_4))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0)) - sqrt(y);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_1 <= 5e-6) {
tmp = (fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_2))) + (t_3 - sqrt(z))) + t_4;
} else {
tmp = ((((1.0 + z) - z) / (sqrt(z) + t_3)) + ((t_2 - sqrt(x)) + t_1)) + t_4;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_1 <= 5e-6) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_2))) + Float64(t_3 - sqrt(z))) + t_4); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_3)) + Float64(Float64(t_2 - sqrt(x)) + t_1)) + 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[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 5e-6], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1} - \sqrt{y}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_1 \leq 5 \cdot 10^{-6}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_2}\right) + \left(t\_3 - \sqrt{z}\right)\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\left(1 + z\right) - z}{\sqrt{z} + t\_3} + \left(\left(t\_2 - \sqrt{x}\right) + t\_1\right)\right) + t\_4\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 5.00000000000000041e-6Initial program 89.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites91.2%
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-+.f6492.6
Applied rewrites92.6%
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.f6493.3
Applied rewrites93.3%
if 5.00000000000000041e-6 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 95.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.9
Applied rewrites95.9%
Final simplification94.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t))) (t_2 (sqrt (+ x 1.0))))
(if (<= (- t_2 (sqrt x)) 0.1)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) (* 0.5 (sqrt (/ 1.0 z)))) t_1)
(+
(+
(+ (fma 0.5 x (- 1.0 (sqrt x))) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ 1.0 z)) (sqrt z)))
t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((x + 1.0));
double tmp;
if ((t_2 - sqrt(x)) <= 0.1) {
tmp = ((1.0 / (sqrt(x) + t_2)) + (0.5 * sqrt((1.0 / z)))) + t_1;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((1.0 + z)) - sqrt(z))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.1) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + Float64(0.5 * sqrt(Float64(1.0 / z)))) + t_1); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.1], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{x + 1}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + 0.5 \cdot \sqrt{\frac{1}{z}}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + t\_1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.10000000000000001Initial program 87.3%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites89.2%
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-+.f6450.1
Applied rewrites50.1%
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.f6448.1
Applied rewrites48.1%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6423.7
Applied rewrites23.7%
if 0.10000000000000001 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.9%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6496.7
Applied rewrites96.7%
Final simplification60.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t))) (t_2 (sqrt (+ x 1.0))))
(if (<= (- t_2 (sqrt x)) 0.999996)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) (* 0.5 (sqrt (/ 1.0 z)))) t_1)
(+
(+
(+ (- 1.0 (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y)))
(- (sqrt (+ 1.0 z)) (sqrt z)))
t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((x + 1.0));
double tmp;
if ((t_2 - sqrt(x)) <= 0.999996) {
tmp = ((1.0 / (sqrt(x) + t_2)) + (0.5 * sqrt((1.0 / z)))) + t_1;
} else {
tmp = (((1.0 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((1.0 + z)) - sqrt(z))) + t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((t + 1.0d0)) - sqrt(t)
t_2 = sqrt((x + 1.0d0))
if ((t_2 - sqrt(x)) <= 0.999996d0) then
tmp = ((1.0d0 / (sqrt(x) + t_2)) + (0.5d0 * sqrt((1.0d0 / z)))) + t_1
else
tmp = (((1.0d0 - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((1.0d0 + z)) - sqrt(z))) + t_1
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_2 = Math.sqrt((x + 1.0));
double tmp;
if ((t_2 - Math.sqrt(x)) <= 0.999996) {
tmp = ((1.0 / (Math.sqrt(x) + t_2)) + (0.5 * Math.sqrt((1.0 / z)))) + t_1;
} else {
tmp = (((1.0 - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((1.0 + z)) - Math.sqrt(z))) + t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) - math.sqrt(t) t_2 = math.sqrt((x + 1.0)) tmp = 0 if (t_2 - math.sqrt(x)) <= 0.999996: tmp = ((1.0 / (math.sqrt(x) + t_2)) + (0.5 * math.sqrt((1.0 / z)))) + t_1 else: tmp = (((1.0 - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((1.0 + z)) - math.sqrt(z))) + t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.999996) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + Float64(0.5 * sqrt(Float64(1.0 / z)))) + t_1); else 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); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0)) - sqrt(t);
t_2 = sqrt((x + 1.0));
tmp = 0.0;
if ((t_2 - sqrt(x)) <= 0.999996)
tmp = ((1.0 / (sqrt(x) + t_2)) + (0.5 * sqrt((1.0 / z)))) + t_1;
else
tmp = (((1.0 - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((1.0 + z)) - sqrt(z))) + t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.999996], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], 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]]]]
\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{x + 1}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.999996:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + 0.5 \cdot \sqrt{\frac{1}{z}}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\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\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.999995999999999996Initial program 87.6%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites89.6%
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-+.f6450.8
Applied rewrites50.8%
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.f6448.5
Applied rewrites48.5%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6424.0
Applied rewrites24.0%
if 0.999995999999999996 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.8%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6497.7
Applied rewrites97.7%
Final simplification59.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0))) (t_2 (sqrt (+ y 1.0))))
(if (<= z 26500000.0)
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_1)) (sqrt (+ 1.0 z))) t_2)
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))
1.0)
(+
(+
(+ (- t_2 (sqrt y)) (/ 1.0 (+ (sqrt x) (sqrt (+ x 1.0)))))
(* 0.5 (sqrt (/ 1.0 z))))
(- t_1 (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = sqrt((y + 1.0));
double tmp;
if (z <= 26500000.0) {
tmp = ((((1.0 / (sqrt(t) + t_1)) + sqrt((1.0 + z))) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
} else {
tmp = (((t_2 - sqrt(y)) + (1.0 / (sqrt(x) + sqrt((x + 1.0))))) + (0.5 * sqrt((1.0 / z)))) + (t_1 - sqrt(t));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((t + 1.0d0))
t_2 = sqrt((y + 1.0d0))
if (z <= 26500000.0d0) then
tmp = ((((1.0d0 / (sqrt(t) + t_1)) + sqrt((1.0d0 + z))) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
else
tmp = (((t_2 - sqrt(y)) + (1.0d0 / (sqrt(x) + sqrt((x + 1.0d0))))) + (0.5d0 * sqrt((1.0d0 / z)))) + (t_1 - sqrt(t))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0));
double t_2 = Math.sqrt((y + 1.0));
double tmp;
if (z <= 26500000.0) {
tmp = ((((1.0 / (Math.sqrt(t) + t_1)) + Math.sqrt((1.0 + z))) + t_2) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
} else {
tmp = (((t_2 - Math.sqrt(y)) + (1.0 / (Math.sqrt(x) + Math.sqrt((x + 1.0))))) + (0.5 * Math.sqrt((1.0 / z)))) + (t_1 - Math.sqrt(t));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) t_2 = math.sqrt((y + 1.0)) tmp = 0 if z <= 26500000.0: tmp = ((((1.0 / (math.sqrt(t) + t_1)) + math.sqrt((1.0 + z))) + t_2) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) + 1.0 else: tmp = (((t_2 - math.sqrt(y)) + (1.0 / (math.sqrt(x) + math.sqrt((x + 1.0))))) + (0.5 * math.sqrt((1.0 / z)))) + (t_1 - math.sqrt(t)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (z <= 26500000.0) tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_1)) + sqrt(Float64(1.0 + z))) + t_2) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); else tmp = Float64(Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(x + 1.0))))) + Float64(0.5 * sqrt(Float64(1.0 / z)))) + Float64(t_1 - sqrt(t))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0));
t_2 = sqrt((y + 1.0));
tmp = 0.0;
if (z <= 26500000.0)
tmp = ((((1.0 / (sqrt(t) + t_1)) + sqrt((1.0 + z))) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
else
tmp = (((t_2 - sqrt(y)) + (1.0 / (sqrt(x) + sqrt((x + 1.0))))) + (0.5 * sqrt((1.0 / z)))) + (t_1 - sqrt(t));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 26500000.0], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1}\\
t_2 := \sqrt{y + 1}\\
\mathbf{if}\;z \leq 26500000:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_1} + \sqrt{1 + z}\right) + t\_2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_2 - \sqrt{y}\right) + \frac{1}{\sqrt{x} + \sqrt{x + 1}}\right) + 0.5 \cdot \sqrt{\frac{1}{z}}\right) + \left(t\_1 - \sqrt{t}\right)\\
\end{array}
\end{array}
if z < 2.65e7Initial program 96.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.8
Applied rewrites96.8%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites34.9%
if 2.65e7 < z Initial program 87.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6491.7
Applied rewrites91.7%
lift--.f64N/A
flip--N/A
lift-+.f64N/A
+-commutativeN/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
associate--l+N/A
+-inversesN/A
metadata-evalN/A
lift-+.f64N/A
lift-/.f6494.5
Applied rewrites94.5%
Final simplification62.4%
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)) (sqrt (+ x 1.0)))))
(if (<= (- (sqrt (+ 1.0 z)) (sqrt z)) 0.02)
(- t_1 (+ (sqrt y) (sqrt x)))
(+ (- t_1 (+ (sqrt z) (sqrt x))) (fma 0.5 z 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0)) + sqrt((x + 1.0));
double tmp;
if ((sqrt((1.0 + z)) - sqrt(z)) <= 0.02) {
tmp = t_1 - (sqrt(y) + sqrt(x));
} else {
tmp = (t_1 - (sqrt(z) + sqrt(x))) + fma(0.5, z, 1.0);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(y + 1.0)) + sqrt(Float64(x + 1.0))) tmp = 0.0 if (Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) <= 0.02) tmp = Float64(t_1 - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(t_1 - Float64(sqrt(z) + sqrt(x))) + fma(0.5, z, 1.0)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.02], N[(t$95$1 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 - N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 * z + 1.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1} + \sqrt{x + 1}\\
\mathbf{if}\;\sqrt{1 + z} - \sqrt{z} \leq 0.02:\\
\;\;\;\;t\_1 - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 - \left(\sqrt{z} + \sqrt{x}\right)\right) + \mathsf{fma}\left(0.5, z, 1\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0200000000000000004Initial program 87.9%
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 rewrites3.2%
Taylor expanded in z around inf
Applied rewrites19.5%
if 0.0200000000000000004 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 96.6%
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 rewrites21.5%
Applied rewrites42.7%
Taylor expanded in z around 0
Applied rewrites42.5%
Taylor expanded in z around inf
Applied rewrites30.5%
Final simplification25.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (let* ((t_1 (- (+ (sqrt (+ y 1.0)) (sqrt (+ x 1.0))) (+ (sqrt y) (sqrt x))))) (if (<= (- (sqrt (+ 1.0 z)) (sqrt z)) 0.02) t_1 (+ t_1 (fma 0.5 z 1.0)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = (sqrt((y + 1.0)) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
double tmp;
if ((sqrt((1.0 + z)) - sqrt(z)) <= 0.02) {
tmp = t_1;
} else {
tmp = t_1 + fma(0.5, z, 1.0);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(Float64(sqrt(Float64(y + 1.0)) + sqrt(Float64(x + 1.0))) - Float64(sqrt(y) + sqrt(x))) tmp = 0.0 if (Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) <= 0.02) tmp = t_1; else tmp = Float64(t_1 + fma(0.5, z, 1.0)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.02], t$95$1, N[(t$95$1 + N[(0.5 * z + 1.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \left(\sqrt{y + 1} + \sqrt{x + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{if}\;\sqrt{1 + z} - \sqrt{z} \leq 0.02:\\
\;\;\;\;t\_1\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \mathsf{fma}\left(0.5, z, 1\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0200000000000000004Initial program 87.9%
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 rewrites3.2%
Taylor expanded in z around inf
Applied rewrites19.5%
if 0.0200000000000000004 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 96.6%
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 rewrites21.5%
Applied rewrites42.7%
Taylor expanded in z around 0
Applied rewrites42.5%
Taylor expanded in y around inf
Applied rewrites42.1%
Final simplification31.5%
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 1.0)) (sqrt (+ x 1.0))) (+ (sqrt y) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((y + 1.0)) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt((y + 1.0d0)) + sqrt((x + 1.0d0))) - (sqrt(y) + sqrt(x))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt((y + 1.0)) + Math.sqrt((x + 1.0))) - (Math.sqrt(y) + Math.sqrt(x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt((y + 1.0)) + math.sqrt((x + 1.0))) - (math.sqrt(y) + math.sqrt(x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(y + 1.0)) + sqrt(Float64(x + 1.0))) - Float64(sqrt(y) + sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((y + 1.0)) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{y + 1} + \sqrt{x + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)
\end{array}
Initial program 92.6%
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 rewrites12.9%
Taylor expanded in z around inf
Applied rewrites13.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt z)) (fma 0.5 z 1.0)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(z) + fma(0.5, z, 1.0);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(z)) + fma(0.5, z, 1.0)) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[((-N[Sqrt[z], $MachinePrecision]) + N[(0.5 * z + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{z}\right) + \mathsf{fma}\left(0.5, z, 1\right)
\end{array}
Initial program 92.6%
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 rewrites12.9%
Applied rewrites25.0%
Taylor expanded in z around inf
Applied rewrites17.2%
Taylor expanded in z around 0
Applied rewrites17.9%
Final simplification17.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (sqrt z))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + -sqrt(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 = 1.0d0 + -sqrt(z)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + -Math.sqrt(z);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + -math.sqrt(z)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(-sqrt(z))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + -sqrt(z);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 + (-N[Sqrt[z], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(-\sqrt{z}\right)
\end{array}
Initial program 92.6%
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 rewrites12.9%
Applied rewrites25.0%
Taylor expanded in z around inf
Applied rewrites17.2%
Taylor expanded in z around 0
Applied rewrites16.0%
(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 2024284
(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))))