
(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 24 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (- t_4 (sqrt t)))
(t_6 (sqrt (+ 1.0 y)))
(t_7 (+ (+ t_3 (- t_6 (sqrt y))) t_1)))
(if (<= t_7 0.04)
(+ t_5 (+ t_1 (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_2)))))
(if (<= t_7 2.0001)
(+
(-
(+ (fma (sqrt (/ 1.0 z)) 0.5 (/ 1.0 (+ t_6 (sqrt y)))) t_2)
(sqrt x))
t_5)
(+
(+ (+ (- 1.0 (sqrt y)) t_3) t_1)
(/ (- (+ t 1.0) t) (+ (sqrt t) t_4)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((t + 1.0));
double t_5 = t_4 - sqrt(t);
double t_6 = sqrt((1.0 + y));
double t_7 = (t_3 + (t_6 - sqrt(y))) + t_1;
double tmp;
if (t_7 <= 0.04) {
tmp = t_5 + (t_1 + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_2))));
} else if (t_7 <= 2.0001) {
tmp = ((fma(sqrt((1.0 / z)), 0.5, (1.0 / (t_6 + sqrt(y)))) + t_2) - sqrt(x)) + t_5;
} else {
tmp = (((1.0 - sqrt(y)) + t_3) + t_1) + (((t + 1.0) - t) / (sqrt(t) + t_4));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = sqrt(Float64(t + 1.0)) t_5 = Float64(t_4 - sqrt(t)) t_6 = sqrt(Float64(1.0 + y)) t_7 = Float64(Float64(t_3 + Float64(t_6 - sqrt(y))) + t_1) tmp = 0.0 if (t_7 <= 0.04) tmp = Float64(t_5 + Float64(t_1 + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_2))))); elseif (t_7 <= 2.0001) tmp = Float64(Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, Float64(1.0 / Float64(t_6 + sqrt(y)))) + t_2) - sqrt(x)) + t_5); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + t_3) + t_1) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_4))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$3 + N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$7, 0.04], N[(t$95$5 + N[(t$95$1 + 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]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 2.0001], N[(N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$6 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{t + 1}\\
t_5 := t\_4 - \sqrt{t}\\
t_6 := \sqrt{1 + y}\\
t_7 := \left(t\_3 + \left(t\_6 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_7 \leq 0.04:\\
\;\;\;\;t\_5 + \left(t\_1 + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_2}\right)\right)\\
\mathbf{elif}\;t\_7 \leq 2.0001:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \frac{1}{t\_6 + \sqrt{y}}\right) + t\_2\right) - \sqrt{x}\right) + t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + t\_3\right) + t\_1\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_4}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0400000000000000008Initial program 75.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6477.2
Applied rewrites77.2%
Taylor expanded in y around 0
Applied rewrites84.2%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.3%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6487.5
Applied rewrites87.5%
if 0.0400000000000000008 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 96.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.5
Applied rewrites96.5%
Taylor expanded in z around inf
lower--.f64N/A
Applied rewrites41.7%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.2%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6491.3
Applied rewrites91.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6492.0
Applied rewrites92.0%
Final simplification53.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4
(+
(+ (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))) (- t_2 (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))))
(if (<= t_4 1.0001)
(+ (fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) (- (sqrt x))) t_3)
(if (<= t_4 2.0001)
(+ (+ (- t_1 (+ (sqrt x) (sqrt y))) (/ 0.5 (sqrt z))) t_3)
(- (+ (+ t_1 1.0) t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = (((t_3 - sqrt(x)) + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double tmp;
if (t_4 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), -sqrt(x)) + t_3;
} else if (t_4 <= 2.0001) {
tmp = ((t_1 - (sqrt(x) + sqrt(y))) + (0.5 / sqrt(z))) + t_3;
} else {
tmp = ((t_1 + 1.0) + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), Float64(-sqrt(x))) + t_3); elseif (t_4 <= 2.0001) tmp = Float64(Float64(Float64(t_1 - Float64(sqrt(x) + sqrt(y))) + Float64(0.5 / sqrt(z))) + t_3); else tmp = Float64(Float64(Float64(t_1 + 1.0) + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(N[(N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, -\sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;\left(\left(t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\right) + \frac{0.5}{\sqrt{z}}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.00009999999999999Initial program 87.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Applied rewrites27.0%
Taylor expanded in z around inf
Applied rewrites27.7%
Taylor expanded in y around inf
Applied rewrites28.5%
if 1.00009999999999999 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial program 96.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f648.8
Applied rewrites8.8%
Applied rewrites16.3%
Taylor expanded in z around inf
Applied rewrites26.7%
Applied rewrites26.0%
if 2.00010000000000021 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.9
Applied rewrites28.9%
Taylor expanded in z around inf
Applied rewrites2.0%
Taylor expanded in x around 0
Applied rewrites27.1%
Final simplification27.1%
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 y)))
(t_2 (sqrt (/ 1.0 z)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (sqrt (+ x 1.0)))
(t_5
(+
(+ (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))) (- t_3 (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))))
(if (<= t_5 1.0001)
(+ (fma 0.5 (+ t_2 (sqrt (/ 1.0 y))) (- (sqrt x))) t_4)
(if (<= t_5 2.0001)
(+ (- (fma 0.5 t_2 t_1) (+ (sqrt x) (sqrt y))) 1.0)
(- (+ (+ t_1 1.0) t_3) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 / z));
double t_3 = sqrt((z + 1.0));
double t_4 = sqrt((x + 1.0));
double t_5 = (((t_4 - sqrt(x)) + (t_1 - sqrt(y))) + (t_3 - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double tmp;
if (t_5 <= 1.0001) {
tmp = fma(0.5, (t_2 + sqrt((1.0 / y))), -sqrt(x)) + t_4;
} else if (t_5 <= 2.0001) {
tmp = (fma(0.5, t_2, t_1) - (sqrt(x) + sqrt(y))) + 1.0;
} else {
tmp = ((t_1 + 1.0) + t_3) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 / z)) t_3 = sqrt(Float64(z + 1.0)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_3 - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) tmp = 0.0 if (t_5 <= 1.0001) tmp = Float64(fma(0.5, Float64(t_2 + sqrt(Float64(1.0 / y))), Float64(-sqrt(x))) + t_4); elseif (t_5 <= 2.0001) tmp = Float64(Float64(fma(0.5, t_2, t_1) - Float64(sqrt(x) + sqrt(y))) + 1.0); else tmp = Float64(Float64(Float64(t_1 + 1.0) + t_3) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0001], N[(N[(0.5 * N[(t$95$2 + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(N[(N[(0.5 * t$95$2 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{\frac{1}{z}}\\
t_3 := \sqrt{z + 1}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_3 - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{if}\;t\_5 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_2 + \sqrt{\frac{1}{y}}, -\sqrt{x}\right) + t\_4\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t\_2, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_3\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.00009999999999999Initial program 87.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Applied rewrites27.0%
Taylor expanded in z around inf
Applied rewrites27.7%
Taylor expanded in y around inf
Applied rewrites28.5%
if 1.00009999999999999 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial program 96.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f648.8
Applied rewrites8.8%
Applied rewrites16.3%
Taylor expanded in z around inf
Applied rewrites26.7%
Taylor expanded in x around 0
Applied rewrites26.2%
if 2.00010000000000021 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.9
Applied rewrites28.9%
Taylor expanded in z around inf
Applied rewrites2.0%
Taylor expanded in x around 0
Applied rewrites27.1%
Final simplification27.2%
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 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4
(+
(+ (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))) (- t_2 (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))))
(if (<= t_4 1.0)
(+ (- (sqrt x)) t_3)
(if (<= t_4 2.0001)
(+ (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (+ (sqrt x) (sqrt y))) 1.0)
(- (+ (+ t_1 1.0) t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = (((t_3 - sqrt(x)) + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double tmp;
if (t_4 <= 1.0) {
tmp = -sqrt(x) + t_3;
} else if (t_4 <= 2.0001) {
tmp = (fma(0.5, sqrt((1.0 / z)), t_1) - (sqrt(x) + sqrt(y))) + 1.0;
} else {
tmp = ((t_1 + 1.0) + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(-sqrt(x)) + t_3); elseif (t_4 <= 2.0001) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - Float64(sqrt(x) + sqrt(y))) + 1.0); else tmp = Float64(Float64(Float64(t_1 + 1.0) + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[((-N[Sqrt[x], $MachinePrecision]) + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(-\sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 89.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Applied rewrites27.0%
Taylor expanded in x around inf
Applied rewrites27.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial program 94.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f648.4
Applied rewrites8.4%
Applied rewrites17.1%
Taylor expanded in z around inf
Applied rewrites27.5%
Taylor expanded in x around 0
Applied rewrites26.4%
if 2.00010000000000021 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.9
Applied rewrites28.9%
Taylor expanded in z around inf
Applied rewrites2.0%
Taylor expanded in x around 0
Applied rewrites27.1%
Final simplification26.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4
(+
(+ (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))) (- t_2 (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))))
(if (<= t_4 1.0)
(+ (- (sqrt x)) t_3)
(if (<= t_4 2.0001)
(+ (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (+ (sqrt x) (sqrt y))) 1.0)
(+ (- (+ t_2 t_3) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = (((t_3 - sqrt(x)) + (t_1 - sqrt(y))) + (t_2 - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double tmp;
if (t_4 <= 1.0) {
tmp = -sqrt(x) + t_3;
} else if (t_4 <= 2.0001) {
tmp = (fma(0.5, sqrt((1.0 / z)), t_1) - (sqrt(x) + sqrt(y))) + 1.0;
} else {
tmp = ((t_2 + t_3) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(t_2 - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(-sqrt(x)) + t_3); elseif (t_4 <= 2.0001) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - Float64(sqrt(x) + sqrt(y))) + 1.0); else tmp = Float64(Float64(Float64(t_2 + t_3) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[((-N[Sqrt[x], $MachinePrecision]) + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(-\sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_3\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 89.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Applied rewrites27.0%
Taylor expanded in x around inf
Applied rewrites27.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00010000000000021Initial program 94.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f648.4
Applied rewrites8.4%
Applied rewrites17.1%
Taylor expanded in z around inf
Applied rewrites27.5%
Taylor expanded in x around 0
Applied rewrites26.4%
if 2.00010000000000021 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.9
Applied rewrites28.9%
Taylor expanded in y around 0
Applied rewrites31.8%
Final simplification28.3%
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 y)))
(t_2 (+ (sqrt x) (sqrt y)))
(t_3 (sqrt (+ x 1.0)))
(t_4
(+
(+
(+ (- t_3 (sqrt x)) (- t_1 (sqrt y)))
(- (sqrt (+ z 1.0)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))))
(if (<= t_4 1.0)
(+ (- (sqrt x)) t_3)
(if (<= t_4 2.5)
(+ (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) t_2) 1.0)
(+ (- t_1 t_2) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt(x) + sqrt(y);
double t_3 = sqrt((x + 1.0));
double t_4 = (((t_3 - sqrt(x)) + (t_1 - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
double tmp;
if (t_4 <= 1.0) {
tmp = -sqrt(x) + t_3;
} else if (t_4 <= 2.5) {
tmp = (fma(0.5, sqrt((1.0 / z)), t_1) - t_2) + 1.0;
} else {
tmp = (t_1 - t_2) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(x) + sqrt(y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(-sqrt(x)) + t_3); elseif (t_4 <= 2.5) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - t_2) + 1.0); else tmp = Float64(Float64(t_1 - t_2) + 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 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - 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]}, If[LessEqual[t$95$4, 1.0], N[((-N[Sqrt[x], $MachinePrecision]) + t$95$3), $MachinePrecision], If[LessEqual[t$95$4, 2.5], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - t$95$2), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(t$95$1 - t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x} + \sqrt{y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(-\sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_4 \leq 2.5:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - t\_2\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 - t\_2\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 89.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Applied rewrites27.0%
Taylor expanded in x around inf
Applied rewrites27.0%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.5Initial program 94.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f649.6
Applied rewrites9.6%
Applied rewrites18.0%
Taylor expanded in z around inf
Applied rewrites26.5%
Taylor expanded in x around 0
Applied rewrites25.3%
if 2.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6429.1
Applied rewrites29.1%
Applied rewrites35.1%
Taylor expanded in z around inf
Applied rewrites17.3%
Final simplification23.4%
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 (+ t 1.0)))
(t_2 (- t_1 (sqrt t)))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (- t_4 (sqrt x)))
(t_6 (sqrt (+ 1.0 y)))
(t_7 (+ (+ t_5 (- t_6 (sqrt y))) t_3))
(t_8 (/ 1.0 (+ t_6 (sqrt y)))))
(if (<= t_7 0.0)
(+ (+ (fma (sqrt (/ 1.0 x)) 0.5 t_8) t_3) t_2)
(if (<= t_7 2.0001)
(+ (- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_8) t_4) (sqrt x)) t_2)
(+
(+ (+ (- 1.0 (sqrt y)) t_5) t_3)
(/ (- (+ t 1.0) t) (+ (sqrt t) t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = t_1 - sqrt(t);
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = t_4 - sqrt(x);
double t_6 = sqrt((1.0 + y));
double t_7 = (t_5 + (t_6 - sqrt(y))) + t_3;
double t_8 = 1.0 / (t_6 + sqrt(y));
double tmp;
if (t_7 <= 0.0) {
tmp = (fma(sqrt((1.0 / x)), 0.5, t_8) + t_3) + t_2;
} else if (t_7 <= 2.0001) {
tmp = ((fma(sqrt((1.0 / z)), 0.5, t_8) + t_4) - sqrt(x)) + t_2;
} else {
tmp = (((1.0 - sqrt(y)) + t_5) + t_3) + (((t + 1.0) - t) / (sqrt(t) + t_1));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = Float64(t_1 - sqrt(t)) t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(t_4 - sqrt(x)) t_6 = sqrt(Float64(1.0 + y)) t_7 = Float64(Float64(t_5 + Float64(t_6 - sqrt(y))) + t_3) t_8 = Float64(1.0 / Float64(t_6 + sqrt(y))) tmp = 0.0 if (t_7 <= 0.0) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / x)), 0.5, t_8) + t_3) + t_2); elseif (t_7 <= 2.0001) tmp = Float64(Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_8) + t_4) - sqrt(x)) + t_2); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + t_5) + t_3) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_1))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$5 + N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$8 = N[(1.0 / N[(t$95$6 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 0.0], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$8), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$7, 2.0001], N[(N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$8), $MachinePrecision] + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1}\\
t_2 := t\_1 - \sqrt{t}\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := t\_4 - \sqrt{x}\\
t_6 := \sqrt{1 + y}\\
t_7 := \left(t\_5 + \left(t\_6 - \sqrt{y}\right)\right) + t\_3\\
t_8 := \frac{1}{t\_6 + \sqrt{y}}\\
\mathbf{if}\;t\_7 \leq 0:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_8\right) + t\_3\right) + t\_2\\
\mathbf{elif}\;t\_7 \leq 2.0001:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_8\right) + t\_4\right) - \sqrt{x}\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + t\_5\right) + t\_3\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + 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))) < 0.0Initial program 75.0%
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-+.f6475.0
Applied rewrites75.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6487.6
Applied rewrites87.6%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 96.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.5
Applied rewrites96.5%
Taylor expanded in z around inf
lower--.f64N/A
Applied rewrites41.6%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.2%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6491.3
Applied rewrites91.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6492.0
Applied rewrites92.0%
Final simplification52.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (- t_4 (sqrt t)))
(t_6 (sqrt (+ 1.0 y)))
(t_7 (+ (+ t_3 (- t_6 (sqrt y))) t_1)))
(if (<= t_7 0.04)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_5)
(if (<= t_7 2.0001)
(+
(-
(+ (fma (sqrt (/ 1.0 z)) 0.5 (/ 1.0 (+ t_6 (sqrt y)))) t_2)
(sqrt x))
t_5)
(+
(+ (+ (- 1.0 (sqrt y)) t_3) t_1)
(/ (- (+ t 1.0) t) (+ (sqrt t) t_4)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((t + 1.0));
double t_5 = t_4 - sqrt(t);
double t_6 = sqrt((1.0 + y));
double t_7 = (t_3 + (t_6 - sqrt(y))) + t_1;
double tmp;
if (t_7 <= 0.04) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_5;
} else if (t_7 <= 2.0001) {
tmp = ((fma(sqrt((1.0 / z)), 0.5, (1.0 / (t_6 + sqrt(y)))) + t_2) - sqrt(x)) + t_5;
} else {
tmp = (((1.0 - sqrt(y)) + t_3) + t_1) + (((t + 1.0) - t) / (sqrt(t) + t_4));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = sqrt(Float64(t + 1.0)) t_5 = Float64(t_4 - sqrt(t)) t_6 = sqrt(Float64(1.0 + y)) t_7 = Float64(Float64(t_3 + Float64(t_6 - sqrt(y))) + t_1) tmp = 0.0 if (t_7 <= 0.04) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_5); elseif (t_7 <= 2.0001) tmp = Float64(Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, Float64(1.0 / Float64(t_6 + sqrt(y)))) + t_2) - sqrt(x)) + t_5); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + t_3) + t_1) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_4))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$3 + N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$7, 0.04], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 2.0001], N[(N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$6 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{t + 1}\\
t_5 := t\_4 - \sqrt{t}\\
t_6 := \sqrt{1 + y}\\
t_7 := \left(t\_3 + \left(t\_6 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_7 \leq 0.04:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_5\\
\mathbf{elif}\;t\_7 \leq 2.0001:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \frac{1}{t\_6 + \sqrt{y}}\right) + t\_2\right) - \sqrt{x}\right) + t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + t\_3\right) + t\_1\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_4}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0400000000000000008Initial program 75.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6477.2
Applied rewrites77.2%
Taylor expanded in y around 0
Applied rewrites84.2%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6477.6
Applied rewrites77.6%
if 0.0400000000000000008 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 96.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.5
Applied rewrites96.5%
Taylor expanded in z around inf
lower--.f64N/A
Applied rewrites41.7%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.2%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6491.3
Applied rewrites91.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6492.0
Applied rewrites92.0%
Final simplification52.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- t_3 (sqrt x)))
(t_5 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_6 (sqrt (+ 1.0 y)))
(t_7 (+ (+ t_4 (- t_6 (sqrt y))) t_2)))
(if (<= t_7 0.04)
(+ (+ (/ 1.0 (+ (sqrt x) t_3)) t_2) t_5)
(if (<= t_7 1.9999999999999996)
(+ (- (+ (/ 1.0 (+ t_6 (sqrt y))) t_3) (sqrt x)) t_5)
(+
(+ (+ (- 1.0 (sqrt y)) t_4) (/ (- (+ z 1.0) z) (+ (sqrt z) t_1)))
t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_3 - sqrt(x);
double t_5 = sqrt((t + 1.0)) - sqrt(t);
double t_6 = sqrt((1.0 + y));
double t_7 = (t_4 + (t_6 - sqrt(y))) + t_2;
double tmp;
if (t_7 <= 0.04) {
tmp = ((1.0 / (sqrt(x) + t_3)) + t_2) + t_5;
} else if (t_7 <= 1.9999999999999996) {
tmp = (((1.0 / (t_6 + sqrt(y))) + t_3) - sqrt(x)) + t_5;
} else {
tmp = (((1.0 - sqrt(y)) + t_4) + (((z + 1.0) - z) / (sqrt(z) + t_1))) + 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) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = t_1 - sqrt(z)
t_3 = sqrt((x + 1.0d0))
t_4 = t_3 - sqrt(x)
t_5 = sqrt((t + 1.0d0)) - sqrt(t)
t_6 = sqrt((1.0d0 + y))
t_7 = (t_4 + (t_6 - sqrt(y))) + t_2
if (t_7 <= 0.04d0) then
tmp = ((1.0d0 / (sqrt(x) + t_3)) + t_2) + t_5
else if (t_7 <= 1.9999999999999996d0) then
tmp = (((1.0d0 / (t_6 + sqrt(y))) + t_3) - sqrt(x)) + t_5
else
tmp = (((1.0d0 - sqrt(y)) + t_4) + (((z + 1.0d0) - z) / (sqrt(z) + t_1))) + 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((z + 1.0));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt((x + 1.0));
double t_4 = t_3 - Math.sqrt(x);
double t_5 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_6 = Math.sqrt((1.0 + y));
double t_7 = (t_4 + (t_6 - Math.sqrt(y))) + t_2;
double tmp;
if (t_7 <= 0.04) {
tmp = ((1.0 / (Math.sqrt(x) + t_3)) + t_2) + t_5;
} else if (t_7 <= 1.9999999999999996) {
tmp = (((1.0 / (t_6 + Math.sqrt(y))) + t_3) - Math.sqrt(x)) + t_5;
} else {
tmp = (((1.0 - Math.sqrt(y)) + t_4) + (((z + 1.0) - z) / (Math.sqrt(z) + t_1))) + t_5;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt((x + 1.0)) t_4 = t_3 - math.sqrt(x) t_5 = math.sqrt((t + 1.0)) - math.sqrt(t) t_6 = math.sqrt((1.0 + y)) t_7 = (t_4 + (t_6 - math.sqrt(y))) + t_2 tmp = 0 if t_7 <= 0.04: tmp = ((1.0 / (math.sqrt(x) + t_3)) + t_2) + t_5 elif t_7 <= 1.9999999999999996: tmp = (((1.0 / (t_6 + math.sqrt(y))) + t_3) - math.sqrt(x)) + t_5 else: tmp = (((1.0 - math.sqrt(y)) + t_4) + (((z + 1.0) - z) / (math.sqrt(z) + t_1))) + t_5 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_3 - sqrt(x)) t_5 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_6 = sqrt(Float64(1.0 + y)) t_7 = Float64(Float64(t_4 + Float64(t_6 - sqrt(y))) + t_2) tmp = 0.0 if (t_7 <= 0.04) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + t_2) + t_5); elseif (t_7 <= 1.9999999999999996) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_6 + sqrt(y))) + t_3) - sqrt(x)) + t_5); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + t_4) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1))) + 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((z + 1.0));
t_2 = t_1 - sqrt(z);
t_3 = sqrt((x + 1.0));
t_4 = t_3 - sqrt(x);
t_5 = sqrt((t + 1.0)) - sqrt(t);
t_6 = sqrt((1.0 + y));
t_7 = (t_4 + (t_6 - sqrt(y))) + t_2;
tmp = 0.0;
if (t_7 <= 0.04)
tmp = ((1.0 / (sqrt(x) + t_3)) + t_2) + t_5;
elseif (t_7 <= 1.9999999999999996)
tmp = (((1.0 / (t_6 + sqrt(y))) + t_3) - sqrt(x)) + t_5;
else
tmp = (((1.0 - sqrt(y)) + t_4) + (((z + 1.0) - z) / (sqrt(z) + t_1))) + 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[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + y), $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]}, If[LessEqual[t$95$7, 0.04], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 1.9999999999999996], N[(N[(N[(N[(1.0 / N[(t$95$6 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_3 - \sqrt{x}\\
t_5 := \sqrt{t + 1} - \sqrt{t}\\
t_6 := \sqrt{1 + y}\\
t_7 := \left(t\_4 + \left(t\_6 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_7 \leq 0.04:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_3} + t\_2\right) + t\_5\\
\mathbf{elif}\;t\_7 \leq 1.9999999999999996:\\
\;\;\;\;\left(\left(\frac{1}{t\_6 + \sqrt{y}} + t\_3\right) - \sqrt{x}\right) + t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + t\_4\right) + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1}\right) + 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))) < 0.0400000000000000008Initial program 75.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6477.2
Applied rewrites77.2%
Taylor expanded in y around 0
Applied rewrites84.2%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6477.6
Applied rewrites77.6%
if 0.0400000000000000008 < (+.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))) < 1.9999999999999996Initial program 94.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.0
Applied rewrites95.0%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.6
Applied rewrites43.6%
if 1.9999999999999996 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6474.1
Applied rewrites74.1%
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-+.f6474.4
Applied rewrites74.4%
Final simplification61.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (- t_4 (sqrt t)))
(t_6 (sqrt (+ 1.0 y)))
(t_7 (+ (+ t_3 (- t_6 (sqrt y))) t_1)))
(if (<= t_7 0.04)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_5)
(if (<= t_7 1.9999999999999996)
(+ (- (+ (/ 1.0 (+ t_6 (sqrt y))) t_2) (sqrt x)) t_5)
(+
(+ (+ (- 1.0 (sqrt y)) t_3) t_1)
(/ (- (+ t 1.0) t) (+ (sqrt t) t_4)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((t + 1.0));
double t_5 = t_4 - sqrt(t);
double t_6 = sqrt((1.0 + y));
double t_7 = (t_3 + (t_6 - sqrt(y))) + t_1;
double tmp;
if (t_7 <= 0.04) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_5;
} else if (t_7 <= 1.9999999999999996) {
tmp = (((1.0 / (t_6 + sqrt(y))) + t_2) - sqrt(x)) + t_5;
} else {
tmp = (((1.0 - sqrt(y)) + t_3) + t_1) + (((t + 1.0) - t) / (sqrt(t) + t_4));
}
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((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = t_2 - sqrt(x)
t_4 = sqrt((t + 1.0d0))
t_5 = t_4 - sqrt(t)
t_6 = sqrt((1.0d0 + y))
t_7 = (t_3 + (t_6 - sqrt(y))) + t_1
if (t_7 <= 0.04d0) then
tmp = ((1.0d0 / (sqrt(x) + t_2)) + t_1) + t_5
else if (t_7 <= 1.9999999999999996d0) then
tmp = (((1.0d0 / (t_6 + sqrt(y))) + t_2) - sqrt(x)) + t_5
else
tmp = (((1.0d0 - sqrt(y)) + t_3) + t_1) + (((t + 1.0d0) - t) / (sqrt(t) + t_4))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = t_2 - Math.sqrt(x);
double t_4 = Math.sqrt((t + 1.0));
double t_5 = t_4 - Math.sqrt(t);
double t_6 = Math.sqrt((1.0 + y));
double t_7 = (t_3 + (t_6 - Math.sqrt(y))) + t_1;
double tmp;
if (t_7 <= 0.04) {
tmp = ((1.0 / (Math.sqrt(x) + t_2)) + t_1) + t_5;
} else if (t_7 <= 1.9999999999999996) {
tmp = (((1.0 / (t_6 + Math.sqrt(y))) + t_2) - Math.sqrt(x)) + t_5;
} else {
tmp = (((1.0 - Math.sqrt(y)) + t_3) + t_1) + (((t + 1.0) - t) / (Math.sqrt(t) + t_4));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) t_3 = t_2 - math.sqrt(x) t_4 = math.sqrt((t + 1.0)) t_5 = t_4 - math.sqrt(t) t_6 = math.sqrt((1.0 + y)) t_7 = (t_3 + (t_6 - math.sqrt(y))) + t_1 tmp = 0 if t_7 <= 0.04: tmp = ((1.0 / (math.sqrt(x) + t_2)) + t_1) + t_5 elif t_7 <= 1.9999999999999996: tmp = (((1.0 / (t_6 + math.sqrt(y))) + t_2) - math.sqrt(x)) + t_5 else: tmp = (((1.0 - math.sqrt(y)) + t_3) + t_1) + (((t + 1.0) - t) / (math.sqrt(t) + t_4)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = sqrt(Float64(t + 1.0)) t_5 = Float64(t_4 - sqrt(t)) t_6 = sqrt(Float64(1.0 + y)) t_7 = Float64(Float64(t_3 + Float64(t_6 - sqrt(y))) + t_1) tmp = 0.0 if (t_7 <= 0.04) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_5); elseif (t_7 <= 1.9999999999999996) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_6 + sqrt(y))) + t_2) - sqrt(x)) + t_5); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + t_3) + t_1) + Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_4))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = t_2 - sqrt(x);
t_4 = sqrt((t + 1.0));
t_5 = t_4 - sqrt(t);
t_6 = sqrt((1.0 + y));
t_7 = (t_3 + (t_6 - sqrt(y))) + t_1;
tmp = 0.0;
if (t_7 <= 0.04)
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_5;
elseif (t_7 <= 1.9999999999999996)
tmp = (((1.0 / (t_6 + sqrt(y))) + t_2) - sqrt(x)) + t_5;
else
tmp = (((1.0 - sqrt(y)) + t_3) + t_1) + (((t + 1.0) - t) / (sqrt(t) + t_4));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$3 + N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$7, 0.04], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 1.9999999999999996], N[(N[(N[(N[(1.0 / N[(t$95$6 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{t + 1}\\
t_5 := t\_4 - \sqrt{t}\\
t_6 := \sqrt{1 + y}\\
t_7 := \left(t\_3 + \left(t\_6 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_7 \leq 0.04:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_5\\
\mathbf{elif}\;t\_7 \leq 1.9999999999999996:\\
\;\;\;\;\left(\left(\frac{1}{t\_6 + \sqrt{y}} + t\_2\right) - \sqrt{x}\right) + t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + t\_3\right) + t\_1\right) + \frac{\left(t + 1\right) - t}{\sqrt{t} + t\_4}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0400000000000000008Initial program 75.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6477.2
Applied rewrites77.2%
Taylor expanded in y around 0
Applied rewrites84.2%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6477.6
Applied rewrites77.6%
if 0.0400000000000000008 < (+.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))) < 1.9999999999999996Initial program 94.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.0
Applied rewrites95.0%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.6
Applied rewrites43.6%
if 1.9999999999999996 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6474.1
Applied rewrites74.1%
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-+.f6474.3
Applied rewrites74.3%
Final simplification61.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) t_1)))
(if (<= t_5 0.04)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_3)
(if (<= t_5 1.99985)
(+ (- (+ (/ 1.0 (+ t_4 (sqrt y))) t_2) (sqrt x)) t_3)
(+ (+ (- (- (+ (fma 0.5 x 1.0) t_4) (sqrt y)) (sqrt x)) t_1) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1;
double tmp;
if (t_5 <= 0.04) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
} else if (t_5 <= 1.99985) {
tmp = (((1.0 / (t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3;
} else {
tmp = ((((fma(0.5, x, 1.0) + t_4) - sqrt(y)) - sqrt(x)) + t_1) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_1) tmp = 0.0 if (t_5 <= 0.04) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_3); elseif (t_5 <= 1.99985) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3); else tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_4) - sqrt(y)) - sqrt(x)) + t_1) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(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[(1.0 + y), $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] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$5, 0.04], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 1.99985], N[(N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$4), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_5 \leq 0.04:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 1.99985:\\
\;\;\;\;\left(\left(\frac{1}{t\_4 + \sqrt{y}} + t\_2\right) - \sqrt{x}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_4\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0400000000000000008Initial program 75.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6477.2
Applied rewrites77.2%
Taylor expanded in y around 0
Applied rewrites84.2%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6477.6
Applied rewrites77.6%
if 0.0400000000000000008 < (+.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))) < 1.9998499999999999Initial program 94.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.0
Applied rewrites95.0%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.1
Applied rewrites43.1%
if 1.9998499999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6458.3
Applied rewrites58.3%
Final simplification54.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) t_1)))
(if (<= t_5 0.04)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_3)
(if (<= t_5 1.9999999999999996)
(+ (- (+ (/ 1.0 (+ t_4 (sqrt y))) t_2) (sqrt x)) t_3)
(+ (+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) t_1) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1;
double tmp;
if (t_5 <= 0.04) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
} else if (t_5 <= 1.9999999999999996) {
tmp = (((1.0 / (t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3;
} else {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + t_1) + t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
t_4 = sqrt((1.0d0 + y))
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1
if (t_5 <= 0.04d0) then
tmp = ((1.0d0 / (sqrt(x) + t_2)) + t_1) + t_3
else if (t_5 <= 1.9999999999999996d0) then
tmp = (((1.0d0 / (t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3
else
tmp = (((1.0d0 - sqrt(x)) + (1.0d0 - sqrt(y))) + t_1) + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + y));
double t_5 = ((t_2 - Math.sqrt(x)) + (t_4 - Math.sqrt(y))) + t_1;
double tmp;
if (t_5 <= 0.04) {
tmp = ((1.0 / (Math.sqrt(x) + t_2)) + t_1) + t_3;
} else if (t_5 <= 1.9999999999999996) {
tmp = (((1.0 / (t_4 + Math.sqrt(y))) + t_2) - Math.sqrt(x)) + t_3;
} else {
tmp = (((1.0 - Math.sqrt(x)) + (1.0 - Math.sqrt(y))) + t_1) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) t_4 = math.sqrt((1.0 + y)) t_5 = ((t_2 - math.sqrt(x)) + (t_4 - math.sqrt(y))) + t_1 tmp = 0 if t_5 <= 0.04: tmp = ((1.0 / (math.sqrt(x) + t_2)) + t_1) + t_3 elif t_5 <= 1.9999999999999996: tmp = (((1.0 / (t_4 + math.sqrt(y))) + t_2) - math.sqrt(x)) + t_3 else: tmp = (((1.0 - math.sqrt(x)) + (1.0 - math.sqrt(y))) + t_1) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_1) tmp = 0.0 if (t_5 <= 0.04) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_3); elseif (t_5 <= 1.9999999999999996) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + t_1) + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = sqrt((t + 1.0)) - sqrt(t);
t_4 = sqrt((1.0 + y));
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1;
tmp = 0.0;
if (t_5 <= 0.04)
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
elseif (t_5 <= 1.9999999999999996)
tmp = (((1.0 / (t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3;
else
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + t_1) + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $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] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$5, 0.04], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 1.9999999999999996], N[(N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_5 \leq 0.04:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 1.9999999999999996:\\
\;\;\;\;\left(\left(\frac{1}{t\_4 + \sqrt{y}} + t\_2\right) - \sqrt{x}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0400000000000000008Initial program 75.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6477.2
Applied rewrites77.2%
Taylor expanded in y around 0
Applied rewrites84.2%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6477.6
Applied rewrites77.6%
if 0.0400000000000000008 < (+.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))) < 1.9999999999999996Initial program 94.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.0
Applied rewrites95.0%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.6
Applied rewrites43.6%
if 1.9999999999999996 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6474.1
Applied rewrites74.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6451.5
Applied rewrites51.5%
Final simplification50.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) t_1)))
(if (<= t_5 1.0001)
(+ (fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) (- (sqrt x))) t_2)
(if (<= t_5 2.0001)
(+ (+ (+ (- t_4 (+ (sqrt x) (sqrt y))) 1.0) (/ 0.5 (sqrt z))) t_3)
(+ (+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) t_1) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1;
double tmp;
if (t_5 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), -sqrt(x)) + t_2;
} else if (t_5 <= 2.0001) {
tmp = (((t_4 - (sqrt(x) + sqrt(y))) + 1.0) + (0.5 / sqrt(z))) + t_3;
} else {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + t_1) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_1) tmp = 0.0 if (t_5 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), Float64(-sqrt(x))) + t_2); elseif (t_5 <= 2.0001) tmp = Float64(Float64(Float64(Float64(t_4 - Float64(sqrt(x) + sqrt(y))) + 1.0) + Float64(0.5 / sqrt(z))) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + t_1) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[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[(1.0 + y), $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] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(N[(N[(N[(t$95$4 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_5 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, -\sqrt{x}\right) + t\_2\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;\left(\left(\left(t\_4 - \left(\sqrt{x} + \sqrt{y}\right)\right) + 1\right) + \frac{0.5}{\sqrt{z}}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial 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
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.1
Applied rewrites3.1%
Applied rewrites20.9%
Taylor expanded in z around inf
Applied rewrites21.3%
Taylor expanded in y around inf
Applied rewrites21.7%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 97.2%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6439.9
Applied rewrites39.9%
Taylor expanded in x around 0
Applied rewrites38.8%
Applied rewrites37.5%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.2%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6491.3
Applied rewrites91.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6487.6
Applied rewrites87.6%
Final simplification37.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (/ 1.0 z)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) t_1)))
(if (<= t_5 1.0001)
(+ (fma 0.5 (+ t_3 (sqrt (/ 1.0 y))) (- (sqrt x))) t_2)
(if (<= t_5 2.0001)
(- (+ (fma t_3 0.5 t_4) t_2) (+ (sqrt x) (sqrt y)))
(+
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) t_1)
(- (sqrt (+ t 1.0)) (sqrt t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 / z));
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1;
double tmp;
if (t_5 <= 1.0001) {
tmp = fma(0.5, (t_3 + sqrt((1.0 / y))), -sqrt(x)) + t_2;
} else if (t_5 <= 2.0001) {
tmp = (fma(t_3, 0.5, t_4) + t_2) - (sqrt(x) + sqrt(y));
} else {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + t_1) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 / z)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_1) tmp = 0.0 if (t_5 <= 1.0001) tmp = Float64(fma(0.5, Float64(t_3 + sqrt(Float64(1.0 / y))), Float64(-sqrt(x))) + t_2); elseif (t_5 <= 2.0001) tmp = Float64(Float64(fma(t_3, 0.5, t_4) + t_2) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + t_1) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $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] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0001], N[(N[(0.5 * N[(t$95$3 + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(N[(N[(t$95$3 * 0.5 + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - 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{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{\frac{1}{z}}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_5 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_3 + \sqrt{\frac{1}{y}}, -\sqrt{x}\right) + t\_2\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_3, 0.5, t\_4\right) + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + t\_1\right) + \left(\sqrt{t + 1} - \sqrt{t}\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))) < 1.00009999999999999Initial 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
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.1
Applied rewrites3.1%
Applied rewrites20.9%
Taylor expanded in z around inf
Applied rewrites21.3%
Taylor expanded in y around inf
Applied rewrites21.7%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f648.8
Applied rewrites8.8%
Taylor expanded in z around inf
Applied rewrites25.4%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.2%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6491.3
Applied rewrites91.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6487.6
Applied rewrites87.6%
Final simplification32.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (+ (sqrt x) (sqrt y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (/ 1.0 z)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ (+ (- t_3 (sqrt x)) (- t_5 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_6 1.0001)
(+ (fma 0.5 (+ t_4 (sqrt (/ 1.0 y))) (- (sqrt x))) t_3)
(if (<= t_6 2.0001)
(- (+ (fma t_4 0.5 t_5) t_3) t_2)
(- (- (+ (+ t_5 t_1) t_3) (sqrt z)) t_2)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt(x) + sqrt(y);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 / z));
double t_5 = sqrt((1.0 + y));
double t_6 = ((t_3 - sqrt(x)) + (t_5 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_6 <= 1.0001) {
tmp = fma(0.5, (t_4 + sqrt((1.0 / y))), -sqrt(x)) + t_3;
} else if (t_6 <= 2.0001) {
tmp = (fma(t_4, 0.5, t_5) + t_3) - t_2;
} else {
tmp = (((t_5 + t_1) + t_3) - sqrt(z)) - t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(sqrt(x) + sqrt(y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 / z)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_5 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_6 <= 1.0001) tmp = Float64(fma(0.5, Float64(t_4 + sqrt(Float64(1.0 / y))), Float64(-sqrt(x))) + t_3); elseif (t_6 <= 2.0001) tmp = Float64(Float64(fma(t_4, 0.5, t_5) + t_3) - t_2); else tmp = Float64(Float64(Float64(Float64(t_5 + t_1) + t_3) - sqrt(z)) - t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $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[(1.0 + y), $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$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0001], N[(N[(0.5 * N[(t$95$4 + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$6, 2.0001], N[(N[(N[(t$95$4 * 0.5 + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision] - t$95$2), $MachinePrecision], N[(N[(N[(N[(t$95$5 + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{x} + \sqrt{y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{\frac{1}{z}}\\
t_5 := \sqrt{1 + y}\\
t_6 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_5 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_6 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_4 + \sqrt{\frac{1}{y}}, -\sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_6 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_4, 0.5, t\_5\right) + t\_3\right) - t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_5 + t\_1\right) + t\_3\right) - \sqrt{z}\right) - t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial 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
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.1
Applied rewrites3.1%
Applied rewrites20.9%
Taylor expanded in z around inf
Applied rewrites21.3%
Taylor expanded in y around inf
Applied rewrites21.7%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f648.8
Applied rewrites8.8%
Taylor expanded in z around inf
Applied rewrites25.4%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.6
Applied rewrites62.6%
Applied rewrites62.6%
Final simplification28.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (/ 1.0 z)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0001)
(+ (fma 0.5 (+ t_3 (sqrt (/ 1.0 y))) (- (sqrt x))) t_2)
(if (<= t_5 2.0001)
(- (+ (fma t_3 0.5 t_4) t_2) (+ (sqrt x) (sqrt y)))
(- (+ (+ t_4 1.0) t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 / z));
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0001) {
tmp = fma(0.5, (t_3 + sqrt((1.0 / y))), -sqrt(x)) + t_2;
} else if (t_5 <= 2.0001) {
tmp = (fma(t_3, 0.5, t_4) + t_2) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_4 + 1.0) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 / z)) t_4 = sqrt(Float64(1.0 + y)) 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 <= 1.0001) tmp = Float64(fma(0.5, Float64(t_3 + sqrt(Float64(1.0 / y))), Float64(-sqrt(x))) + t_2); elseif (t_5 <= 2.0001) tmp = Float64(Float64(fma(t_3, 0.5, t_4) + t_2) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_4 + 1.0) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $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, 1.0001], N[(N[(0.5 * N[(t$95$3 + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$5, 2.0001], N[(N[(N[(t$95$3 * 0.5 + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{\frac{1}{z}}\\
t_4 := \sqrt{1 + y}\\
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 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_3 + \sqrt{\frac{1}{y}}, -\sqrt{x}\right) + t\_2\\
\mathbf{elif}\;t\_5 \leq 2.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_3, 0.5, t\_4\right) + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial 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
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.1
Applied rewrites3.1%
Applied rewrites20.9%
Taylor expanded in z around inf
Applied rewrites21.3%
Taylor expanded in y around inf
Applied rewrites21.7%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f648.8
Applied rewrites8.8%
Taylor expanded in z around inf
Applied rewrites25.4%
if 2.00010000000000021 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.6
Applied rewrites62.6%
Taylor expanded in z around inf
Applied rewrites2.0%
Taylor expanded in x around 0
Applied rewrites58.9%
Final simplification28.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ (+ (- t_2 (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y))) t_1))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_3 0.04) (+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_4) (+ t_3 t_4))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = ((t_2 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y))) + t_1;
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_3 <= 0.04) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_4;
} else {
tmp = t_3 + t_4;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = ((t_2 - sqrt(x)) + (sqrt((1.0d0 + y)) - sqrt(y))) + t_1
t_4 = sqrt((t + 1.0d0)) - sqrt(t)
if (t_3 <= 0.04d0) then
tmp = ((1.0d0 / (sqrt(x) + t_2)) + t_1) + t_4
else
tmp = t_3 + t_4
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = ((t_2 - Math.sqrt(x)) + (Math.sqrt((1.0 + y)) - Math.sqrt(y))) + t_1;
double t_4 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (t_3 <= 0.04) {
tmp = ((1.0 / (Math.sqrt(x) + t_2)) + t_1) + t_4;
} else {
tmp = t_3 + t_4;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) t_3 = ((t_2 - math.sqrt(x)) + (math.sqrt((1.0 + y)) - math.sqrt(y))) + t_1 t_4 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if t_3 <= 0.04: tmp = ((1.0 / (math.sqrt(x) + t_2)) + t_1) + t_4 else: tmp = t_3 + t_4 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))) + t_1) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_3 <= 0.04) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_4); else tmp = Float64(t_3 + t_4); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = ((t_2 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y))) + t_1;
t_4 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (t_3 <= 0.04)
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_4;
else
tmp = t_3 + t_4;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.04], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$4), $MachinePrecision], N[(t$95$3 + t$95$4), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(\left(t\_2 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\right) + t\_1\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_3 \leq 0.04:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;t\_3 + t\_4\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0400000000000000008Initial program 75.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6477.2
Applied rewrites77.2%
Taylor expanded in y around 0
Applied rewrites84.2%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites84.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6477.6
Applied rewrites77.6%
if 0.0400000000000000008 < (+.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 96.4%
Final simplification94.4%
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 (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_5 (sqrt (+ 1.0 y))))
(if (<= (+ t_3 (- t_5 (sqrt y))) 0.04)
(+ t_1 (+ t_4 (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_2)))))
(+ (+ (+ (/ 1.0 (+ t_5 (sqrt y))) t_3) t_4) 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 t_3 = t_2 - sqrt(x);
double t_4 = sqrt((z + 1.0)) - sqrt(z);
double t_5 = sqrt((1.0 + y));
double tmp;
if ((t_3 + (t_5 - sqrt(y))) <= 0.04) {
tmp = t_1 + (t_4 + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_2))));
} else {
tmp = (((1.0 / (t_5 + sqrt(y))) + t_3) + t_4) + 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)) t_3 = Float64(t_2 - sqrt(x)) t_4 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_5 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(t_3 + Float64(t_5 - sqrt(y))) <= 0.04) tmp = Float64(t_1 + Float64(t_4 + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_2))))); else tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_5 + sqrt(y))) + t_3) + t_4) + 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]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.04], N[(t$95$1 + N[(t$95$4 + 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]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 / N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $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}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{z + 1} - \sqrt{z}\\
t_5 := \sqrt{1 + y}\\
\mathbf{if}\;t\_3 + \left(t\_5 - \sqrt{y}\right) \leq 0.04:\\
\;\;\;\;t\_1 + \left(t\_4 + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_2}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{1}{t\_5 + \sqrt{y}} + t\_3\right) + t\_4\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.0400000000000000008Initial program 87.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6488.2
Applied rewrites88.2%
Taylor expanded in y around 0
Applied rewrites91.6%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites91.9%
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
lower-+.f64N/A
lower-sqrt.f6492.9
Applied rewrites92.9%
if 0.0400000000000000008 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.7
Applied rewrites96.7%
Taylor expanded in y around 0
Applied rewrites96.9%
Final simplification95.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y))))
(if (<= (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) t_1) 1.9999999999999996)
(+ (- (+ (/ 1.0 (+ t_4 (sqrt y))) t_2) (sqrt x)) t_3)
(+ (+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) t_1) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double tmp;
if ((((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1) <= 1.9999999999999996) {
tmp = (((1.0 / (t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3;
} else {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + t_1) + t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
t_4 = sqrt((1.0d0 + y))
if ((((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1) <= 1.9999999999999996d0) then
tmp = (((1.0d0 / (t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3
else
tmp = (((1.0d0 - sqrt(x)) + (1.0d0 - sqrt(y))) + t_1) + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + y));
double tmp;
if ((((t_2 - Math.sqrt(x)) + (t_4 - Math.sqrt(y))) + t_1) <= 1.9999999999999996) {
tmp = (((1.0 / (t_4 + Math.sqrt(y))) + t_2) - Math.sqrt(x)) + t_3;
} else {
tmp = (((1.0 - Math.sqrt(x)) + (1.0 - Math.sqrt(y))) + t_1) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) t_4 = math.sqrt((1.0 + y)) tmp = 0 if (((t_2 - math.sqrt(x)) + (t_4 - math.sqrt(y))) + t_1) <= 1.9999999999999996: tmp = (((1.0 / (t_4 + math.sqrt(y))) + t_2) - math.sqrt(x)) + t_3 else: tmp = (((1.0 - math.sqrt(x)) + (1.0 - math.sqrt(y))) + t_1) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_1) <= 1.9999999999999996) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + t_1) + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = sqrt((t + 1.0)) - sqrt(t);
t_4 = sqrt((1.0 + y));
tmp = 0.0;
if ((((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1) <= 1.9999999999999996)
tmp = (((1.0 / (t_4 + sqrt(y))) + t_2) - sqrt(x)) + t_3;
else
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + t_1) + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], 1.9999999999999996], N[(N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
\mathbf{if}\;\left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_1 \leq 1.9999999999999996:\\
\;\;\;\;\left(\left(\frac{1}{t\_4 + \sqrt{y}} + t\_2\right) - \sqrt{x}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.9999999999999996Initial program 90.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6491.5
Applied rewrites91.5%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6448.8
Applied rewrites48.8%
if 1.9999999999999996 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6474.1
Applied rewrites74.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6451.5
Applied rewrites51.5%
Final simplification50.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_3 0.0002)
(+
t_4
(+ (- t_2 (sqrt z)) (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_1)))))
(+
(+ (/ (- (+ z 1.0) z) (+ (sqrt z) t_2)) (+ (- t_1 (sqrt x)) t_3))
t_4))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((1.0 + y)) - sqrt(y);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_3 <= 0.0002) {
tmp = t_4 + ((t_2 - sqrt(z)) + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_1))));
} else {
tmp = ((((z + 1.0) - z) / (sqrt(z) + t_2)) + ((t_1 - sqrt(x)) + t_3)) + t_4;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_3 <= 0.0002) tmp = Float64(t_4 + Float64(Float64(t_2 - sqrt(z)) + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_1))))); else tmp = Float64(Float64(Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_2)) + Float64(Float64(t_1 - sqrt(x)) + t_3)) + t_4); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0002], N[(t$95$4 + N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $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{x + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{1 + y} - \sqrt{y}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_3 \leq 0.0002:\\
\;\;\;\;t\_4 + \left(\left(t\_2 - \sqrt{z}\right) + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_1}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\left(z + 1\right) - z}{\sqrt{z} + t\_2} + \left(\left(t\_1 - \sqrt{x}\right) + t\_3\right)\right) + t\_4\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 2.0000000000000001e-4Initial program 91.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6492.1
Applied rewrites92.1%
Taylor expanded in y around 0
Applied rewrites94.1%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites94.2%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6495.1
Applied rewrites95.1%
if 2.0000000000000001e-4 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.1
Applied rewrites97.1%
Final simplification96.1%
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)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z))))
(if (<= y 7500000.0)
(+
(/ (- (+ t 1.0) t) (+ (sqrt t) t_1))
(+ (+ (- t_2 (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y))) t_3))
(+
(- t_1 (sqrt t))
(+ t_3 (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_2))))))))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((x + 1.0));
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double tmp;
if (y <= 7500000.0) {
tmp = (((t + 1.0) - t) / (sqrt(t) + t_1)) + (((t_2 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y))) + t_3);
} else {
tmp = (t_1 - sqrt(t)) + (t_3 + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_2))));
}
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(x + 1.0)) t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) tmp = 0.0 if (y <= 7500000.0) tmp = Float64(Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_1)) + Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))) + t_3)); else tmp = Float64(Float64(t_1 - sqrt(t)) + Float64(t_3 + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_2))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 7500000.0], N[(N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + 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]), $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{x + 1}\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
\mathbf{if}\;y \leq 7500000:\\
\;\;\;\;\frac{\left(t + 1\right) - t}{\sqrt{t} + t\_1} + \left(\left(\left(t\_2 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\right) + t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 - \sqrt{t}\right) + \left(t\_3 + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_2}\right)\right)\\
\end{array}
\end{array}
if y < 7.5e6Initial program 96.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.5
Applied rewrites97.5%
if 7.5e6 < y Initial program 91.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6492.1
Applied rewrites92.1%
Taylor expanded in y around 0
Applied rewrites94.1%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift-/.f64N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites94.2%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6495.1
Applied rewrites95.1%
Final simplification96.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0))))
(if (<= y 6e+15)
(- (+ (sqrt (+ 1.0 y)) t_1) (+ (sqrt x) (sqrt y)))
(+ (- (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((x + 1.0));
double tmp;
if (y <= 6e+15) {
tmp = (sqrt((1.0 + y)) + t_1) - (sqrt(x) + sqrt(y));
} else {
tmp = -sqrt(x) + t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
if (y <= 6d+15) then
tmp = (sqrt((1.0d0 + y)) + t_1) - (sqrt(x) + sqrt(y))
else
tmp = -sqrt(x) + 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((x + 1.0));
double tmp;
if (y <= 6e+15) {
tmp = (Math.sqrt((1.0 + y)) + t_1) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = -Math.sqrt(x) + t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) tmp = 0 if y <= 6e+15: tmp = (math.sqrt((1.0 + y)) + t_1) - (math.sqrt(x) + math.sqrt(y)) else: tmp = -math.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(x + 1.0)) tmp = 0.0 if (y <= 6e+15) tmp = Float64(Float64(sqrt(Float64(1.0 + y)) + t_1) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(-sqrt(x)) + 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((x + 1.0));
tmp = 0.0;
if (y <= 6e+15)
tmp = (sqrt((1.0 + y)) + t_1) - (sqrt(x) + sqrt(y));
else
tmp = -sqrt(x) + 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 6e+15], N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[((-N[Sqrt[x], $MachinePrecision]) + t$95$1), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
\mathbf{if}\;y \leq 6 \cdot 10^{+15}:\\
\;\;\;\;\left(\sqrt{1 + y} + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(-\sqrt{x}\right) + t\_1\\
\end{array}
\end{array}
if y < 6e15Initial program 96.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6423.3
Applied rewrites23.3%
Taylor expanded in z around inf
Applied rewrites24.9%
if 6e15 < y Initial program 91.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.1
Applied rewrites3.1%
Applied rewrites23.3%
Taylor expanded in x around inf
Applied rewrites23.2%
Final simplification24.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt x)) (sqrt (+ x 1.0))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x) + sqrt((x + 1.0));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x) + sqrt((x + 1.0d0))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x) + Math.sqrt((x + 1.0));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x) + math.sqrt((x + 1.0))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(x)) + sqrt(Float64(x + 1.0))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x) + sqrt((x + 1.0));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[((-N[Sqrt[x], $MachinePrecision]) + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{x}\right) + \sqrt{x + 1}
\end{array}
Initial program 94.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6413.5
Applied rewrites13.5%
Applied rewrites25.5%
Taylor expanded in x around inf
Applied rewrites17.3%
Final simplification17.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (/ 0.5 (sqrt t)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 / sqrt(t);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 / sqrt(t)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.5 / Math.sqrt(t);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 / math.sqrt(t)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 / sqrt(t)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 / sqrt(t);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 / N[Sqrt[t], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\frac{0.5}{\sqrt{t}}
\end{array}
Initial program 94.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites13.6%
Taylor expanded in t around 0
Applied rewrites7.3%
Applied rewrites7.3%
(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 2024275
(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))))