
(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 (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) t_1))
(t_5 (sqrt (+ 1.0 t)))
(t_6 (- t_5 (sqrt t))))
(if (<= t_4 0.0002)
(+
(+
t_1
(fma
0.5
(sqrt (/ 1.0 y))
(/ (fma -0.125 (sqrt (/ 1.0 x)) (* (sqrt x) 0.5)) x)))
t_6)
(if (<= t_4 2.0001)
(+
t_6
(-
(+ t_3 (fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt y) t_2))))
(sqrt x)))
(+
(+ t_1 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))))
(/ 1.0 (+ (sqrt t) t_5)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + t_1;
double t_5 = sqrt((1.0 + t));
double t_6 = t_5 - sqrt(t);
double tmp;
if (t_4 <= 0.0002) {
tmp = (t_1 + fma(0.5, sqrt((1.0 / y)), (fma(-0.125, sqrt((1.0 / x)), (sqrt(x) * 0.5)) / x))) + t_6;
} else if (t_4 <= 2.0001) {
tmp = t_6 + ((t_3 + fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(y) + t_2)))) - sqrt(x));
} else {
tmp = (t_1 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y)))) + (1.0 / (sqrt(t) + t_5));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + t_1) t_5 = sqrt(Float64(1.0 + t)) t_6 = Float64(t_5 - sqrt(t)) tmp = 0.0 if (t_4 <= 0.0002) tmp = Float64(Float64(t_1 + fma(0.5, sqrt(Float64(1.0 / y)), Float64(fma(-0.125, sqrt(Float64(1.0 / x)), Float64(sqrt(x) * 0.5)) / x))) + t_6); elseif (t_4 <= 2.0001) tmp = Float64(t_6 + Float64(Float64(t_3 + fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(y) + t_2)))) - sqrt(x))); else tmp = Float64(Float64(t_1 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y)))) + Float64(1.0 / Float64(sqrt(t) + t_5))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0002], N[(N[(t$95$1 + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(t$95$6 + N[(N[(t$95$3 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + t\_1\\
t_5 := \sqrt{1 + t}\\
t_6 := t\_5 - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 0.0002:\\
\;\;\;\;\left(t\_1 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \sqrt{x} \cdot 0.5\right)}{x}\right)\right) + t\_6\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;t\_6 + \left(\left(t\_3 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{y} + t\_2}\right)\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right) + \frac{1}{\sqrt{t} + 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))) < 2.0000000000000001e-4Initial program 47.5%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6469.5
Applied rewrites69.5%
Taylor expanded in x around inf
Applied rewrites76.4%
if 2.0000000000000001e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 95.2%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6495.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6495.6
Applied rewrites95.6%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6436.7
Applied rewrites36.7%
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 98.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.3
Applied rewrites96.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.3
Applied rewrites96.3%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6489.3
Applied rewrites89.3%
Taylor expanded in t around 0
Applied rewrites89.3%
Final simplification49.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (- t_3 (sqrt t)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ (- t_2 (sqrt y)) (- t_5 (sqrt x))) t_1)))
(if (<= t_6 2e-5)
(+ t_4 (+ t_1 (* 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 x))))))
(if (<= t_6 2.0001)
(+
t_4
(-
(+ t_5 (fma 0.5 (sqrt (/ 1.0 z)) (/ 1.0 (+ (sqrt y) t_2))))
(sqrt x)))
(+
(+ t_1 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))))
(/ 1.0 (+ (sqrt t) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 + t));
double t_4 = t_3 - sqrt(t);
double t_5 = sqrt((x + 1.0));
double t_6 = ((t_2 - sqrt(y)) + (t_5 - sqrt(x))) + t_1;
double tmp;
if (t_6 <= 2e-5) {
tmp = t_4 + (t_1 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
} else if (t_6 <= 2.0001) {
tmp = t_4 + ((t_5 + fma(0.5, sqrt((1.0 / z)), (1.0 / (sqrt(y) + t_2)))) - sqrt(x));
} else {
tmp = (t_1 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y)))) + (1.0 / (sqrt(t) + t_3));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(1.0 + t)) t_4 = Float64(t_3 - sqrt(t)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_5 - sqrt(x))) + t_1) tmp = 0.0 if (t_6 <= 2e-5) tmp = Float64(t_4 + Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / x)))))); elseif (t_6 <= 2.0001) tmp = Float64(t_4 + Float64(Float64(t_5 + fma(0.5, sqrt(Float64(1.0 / z)), Float64(1.0 / Float64(sqrt(y) + t_2)))) - sqrt(x))); else tmp = Float64(Float64(t_1 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y)))) + Float64(1.0 / Float64(sqrt(t) + t_3))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$6, 2e-5], N[(t$95$4 + N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0001], N[(t$95$4 + N[(N[(t$95$5 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{1 + t}\\
t_4 := t\_3 - \sqrt{t}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_5 - \sqrt{x}\right)\right) + t\_1\\
\mathbf{if}\;t\_6 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;t\_4 + \left(t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}}\right)\right)\\
\mathbf{elif}\;t\_6 \leq 2.0001:\\
\;\;\;\;t\_4 + \left(\left(t\_5 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{1}{\sqrt{y} + t\_2}\right)\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right) + \frac{1}{\sqrt{t} + 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))) < 2.00000000000000016e-5Initial program 45.5%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6468.9
Applied rewrites68.9%
Taylor expanded in x around inf
Applied rewrites72.9%
if 2.00000000000000016e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00010000000000021Initial program 95.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6495.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6495.4
Applied rewrites95.4%
Taylor expanded in z around inf
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6437.2
Applied rewrites37.2%
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 98.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.3
Applied rewrites96.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.3
Applied rewrites96.3%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6489.3
Applied rewrites89.3%
Taylor expanded in t around 0
Applied rewrites89.3%
Final simplification49.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_5 (- t_1 (sqrt z)))
(t_6 (+ (+ t_2 t_4) t_5))
(t_7 (sqrt (/ 1.0 y))))
(if (<= t_6 2e-5)
(+ t_3 (+ t_5 (* 0.5 (+ t_7 (sqrt (/ 1.0 x))))))
(if (<= t_6 1.0001)
(+ t_3 (+ (fma 0.5 t_7 t_4) (* 0.5 (sqrt (/ 1.0 z)))))
(fma
(- (+ 1.0 z) z)
(/ 1.0 (+ (sqrt z) t_1))
(+ t_3 (+ t_2 (- 1.0 (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y)) - sqrt(y);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((x + 1.0)) - sqrt(x);
double t_5 = t_1 - sqrt(z);
double t_6 = (t_2 + t_4) + t_5;
double t_7 = sqrt((1.0 / y));
double tmp;
if (t_6 <= 2e-5) {
tmp = t_3 + (t_5 + (0.5 * (t_7 + sqrt((1.0 / x)))));
} else if (t_6 <= 1.0001) {
tmp = t_3 + (fma(0.5, t_7, t_4) + (0.5 * sqrt((1.0 / z))));
} else {
tmp = fma(((1.0 + z) - z), (1.0 / (sqrt(z) + t_1)), (t_3 + (t_2 + (1.0 - sqrt(x)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_5 = Float64(t_1 - sqrt(z)) t_6 = Float64(Float64(t_2 + t_4) + t_5) t_7 = sqrt(Float64(1.0 / y)) tmp = 0.0 if (t_6 <= 2e-5) tmp = Float64(t_3 + Float64(t_5 + Float64(0.5 * Float64(t_7 + sqrt(Float64(1.0 / x)))))); elseif (t_6 <= 1.0001) tmp = Float64(t_3 + Float64(fma(0.5, t_7, t_4) + Float64(0.5 * sqrt(Float64(1.0 / z))))); else tmp = fma(Float64(Float64(1.0 + z) - z), Float64(1.0 / Float64(sqrt(z) + t_1)), Float64(t_3 + Float64(t_2 + Float64(1.0 - sqrt(x))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$2 + t$95$4), $MachinePrecision] + t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$6, 2e-5], N[(t$95$3 + N[(t$95$5 + N[(0.5 * N[(t$95$7 + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.0001], N[(t$95$3 + N[(N[(0.5 * t$95$7 + t$95$4), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(t$95$2 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y} - \sqrt{y}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{x + 1} - \sqrt{x}\\
t_5 := t\_1 - \sqrt{z}\\
t_6 := \left(t\_2 + t\_4\right) + t\_5\\
t_7 := \sqrt{\frac{1}{y}}\\
\mathbf{if}\;t\_6 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;t\_3 + \left(t\_5 + 0.5 \cdot \left(t\_7 + \sqrt{\frac{1}{x}}\right)\right)\\
\mathbf{elif}\;t\_6 \leq 1.0001:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, t\_7, t\_4\right) + 0.5 \cdot \sqrt{\frac{1}{z}}\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\left(1 + z\right) - z, \frac{1}{\sqrt{z} + t\_1}, t\_3 + \left(t\_2 + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00000000000000016e-5Initial program 45.5%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6468.9
Applied rewrites68.9%
Taylor expanded in x around inf
Applied rewrites72.9%
if 2.00000000000000016e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 93.7%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6467.2
Applied rewrites67.2%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6437.4
Applied rewrites37.4%
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))) Initial program 97.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6472.9
Applied rewrites72.9%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
lift--.f64N/A
flip--N/A
div-invN/A
Applied rewrites73.3%
Final simplification59.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_5 (- t_1 (sqrt z)))
(t_6 (+ (+ t_2 t_4) t_5))
(t_7 (sqrt (/ 1.0 y))))
(if (<= t_6 2e-5)
(+ t_3 (+ t_5 (* 0.5 (+ t_7 (sqrt (/ 1.0 x))))))
(if (<= t_6 1.0001)
(+ t_3 (+ (fma 0.5 t_7 t_4) (* 0.5 (sqrt (/ 1.0 z)))))
(+
t_3
(+ (+ t_2 (- 1.0 (sqrt x))) (/ (- (+ 1.0 z) z) (+ (sqrt z) t_1))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y)) - sqrt(y);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((x + 1.0)) - sqrt(x);
double t_5 = t_1 - sqrt(z);
double t_6 = (t_2 + t_4) + t_5;
double t_7 = sqrt((1.0 / y));
double tmp;
if (t_6 <= 2e-5) {
tmp = t_3 + (t_5 + (0.5 * (t_7 + sqrt((1.0 / x)))));
} else if (t_6 <= 1.0001) {
tmp = t_3 + (fma(0.5, t_7, t_4) + (0.5 * sqrt((1.0 / z))));
} else {
tmp = t_3 + ((t_2 + (1.0 - sqrt(x))) + (((1.0 + z) - z) / (sqrt(z) + t_1)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_5 = Float64(t_1 - sqrt(z)) t_6 = Float64(Float64(t_2 + t_4) + t_5) t_7 = sqrt(Float64(1.0 / y)) tmp = 0.0 if (t_6 <= 2e-5) tmp = Float64(t_3 + Float64(t_5 + Float64(0.5 * Float64(t_7 + sqrt(Float64(1.0 / x)))))); elseif (t_6 <= 1.0001) tmp = Float64(t_3 + Float64(fma(0.5, t_7, t_4) + Float64(0.5 * sqrt(Float64(1.0 / z))))); else tmp = Float64(t_3 + Float64(Float64(t_2 + Float64(1.0 - sqrt(x))) + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_1)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$2 + t$95$4), $MachinePrecision] + t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$6, 2e-5], N[(t$95$3 + N[(t$95$5 + N[(0.5 * N[(t$95$7 + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.0001], N[(t$95$3 + N[(N[(0.5 * t$95$7 + t$95$4), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(t$95$2 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y} - \sqrt{y}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{x + 1} - \sqrt{x}\\
t_5 := t\_1 - \sqrt{z}\\
t_6 := \left(t\_2 + t\_4\right) + t\_5\\
t_7 := \sqrt{\frac{1}{y}}\\
\mathbf{if}\;t\_6 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;t\_3 + \left(t\_5 + 0.5 \cdot \left(t\_7 + \sqrt{\frac{1}{x}}\right)\right)\\
\mathbf{elif}\;t\_6 \leq 1.0001:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, t\_7, t\_4\right) + 0.5 \cdot \sqrt{\frac{1}{z}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(t\_2 + \left(1 - \sqrt{x}\right)\right) + \frac{\left(1 + z\right) - z}{\sqrt{z} + t\_1}\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))) < 2.00000000000000016e-5Initial program 45.5%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6468.9
Applied rewrites68.9%
Taylor expanded in x around inf
Applied rewrites72.9%
if 2.00000000000000016e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 93.7%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6467.2
Applied rewrites67.2%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6437.4
Applied rewrites37.4%
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))) Initial program 97.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6472.9
Applied rewrites72.9%
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
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f6473.3
lift-+.f64N/A
+-commutativeN/A
lift-+.f6473.3
Applied rewrites73.3%
Final simplification59.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ (- t_3 (sqrt y)) (- t_5 (sqrt x))) t_2)))
(if (<= t_6 2e-5)
(+ t_4 (+ t_2 (* 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 x))))))
(if (<= t_6 2.0)
(+ t_4 (+ t_5 (- (/ 1.0 (+ (sqrt y) t_3)) (sqrt x))))
(fma
(- (+ 1.0 z) z)
(/ 1.0 (+ (sqrt z) t_1))
(+ t_4 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double t_5 = sqrt((x + 1.0));
double t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
double tmp;
if (t_6 <= 2e-5) {
tmp = t_4 + (t_2 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
} else if (t_6 <= 2.0) {
tmp = t_4 + (t_5 + ((1.0 / (sqrt(y) + t_3)) - sqrt(x)));
} else {
tmp = fma(((1.0 + z) - z), (1.0 / (sqrt(z) + t_1)), (t_4 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_5 - sqrt(x))) + t_2) tmp = 0.0 if (t_6 <= 2e-5) tmp = Float64(t_4 + Float64(t_2 + Float64(0.5 * Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / x)))))); elseif (t_6 <= 2.0) tmp = Float64(t_4 + Float64(t_5 + Float64(Float64(1.0 / Float64(sqrt(y) + t_3)) - sqrt(x)))); else tmp = fma(Float64(Float64(1.0 + z) - z), Float64(1.0 / Float64(sqrt(z) + t_1)), Float64(t_4 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 2e-5], N[(t$95$4 + N[(t$95$2 + N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0], N[(t$95$4 + N[(t$95$5 + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(t$95$4 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_5 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;t\_4 + \left(t\_2 + 0.5 \cdot \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}}\right)\right)\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;t\_4 + \left(t\_5 + \left(\frac{1}{\sqrt{y} + t\_3} - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\left(1 + z\right) - z, \frac{1}{\sqrt{z} + t\_1}, t\_4 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00000000000000016e-5Initial program 45.5%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6468.9
Applied rewrites68.9%
Taylor expanded in x around inf
Applied rewrites72.9%
if 2.00000000000000016e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 95.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6495.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6495.8
Applied rewrites95.8%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6439.5
Applied rewrites39.5%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6490.8
Applied rewrites90.8%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
lift--.f64N/A
flip--N/A
div-invN/A
Applied rewrites91.9%
Taylor expanded in y around 0
Applied rewrites83.6%
Final simplification50.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_4 1.002)
(+
t_3
(fma
-0.125
(sqrt (/ 1.0 (* y (* y y))))
(fma 0.5 (sqrt (/ 1.0 y)) (- (sqrt x)))))
(if (<= t_4 2.9999996)
(+ t_3 (- (+ t_2 (/ 1.0 (+ (sqrt z) t_1))) (+ (sqrt x) (sqrt y))))
(+
(/ (- (+ 1.0 t) t) (+ (sqrt t) (sqrt (+ 1.0 t))))
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- 1.0 (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1.002) {
tmp = t_3 + fma(-0.125, sqrt((1.0 / (y * (y * y)))), fma(0.5, sqrt((1.0 / y)), -sqrt(x)));
} else if (t_4 <= 2.9999996) {
tmp = t_3 + ((t_2 + (1.0 / (sqrt(z) + t_1))) - (sqrt(x) + sqrt(y)));
} else {
tmp = (((1.0 + t) - t) / (sqrt(t) + sqrt((1.0 + t)))) + (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.002) tmp = Float64(t_3 + fma(-0.125, sqrt(Float64(1.0 / Float64(y * Float64(y * y)))), fma(0.5, sqrt(Float64(1.0 / y)), Float64(-sqrt(x))))); elseif (t_4 <= 2.9999996) tmp = Float64(t_3 + Float64(Float64(t_2 + Float64(1.0 / Float64(sqrt(z) + t_1))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + sqrt(Float64(1.0 + t)))) + Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.002], N[(t$95$3 + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.9999996], N[(t$95$3 + N[(N[(t$95$2 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1.002:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(-0.125, \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}, \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, -\sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_4 \leq 2.9999996:\\
\;\;\;\;t\_3 + \left(\left(t\_2 + \frac{1}{\sqrt{z} + t\_1}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{\sqrt{t} + \sqrt{1 + t}} + \left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(1 - \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 82.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.3
Applied rewrites4.3%
Taylor expanded in z around inf
Applied rewrites13.1%
Taylor expanded in y around inf
Applied rewrites12.5%
if 1.002 < (+.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))) < 2.99999960000000021Initial program 96.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6464.7
Applied rewrites64.7%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
lift--.f64N/A
flip--N/A
div-invN/A
Applied rewrites65.2%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.8
Applied rewrites28.8%
if 2.99999960000000021 < (+.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 100.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f64100.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f64100.0
Applied rewrites100.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Final simplification28.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) t_1)))
(if (<= t_4 1.002)
(+
t_3
(fma
-0.125
(sqrt (/ 1.0 (* y (* y y))))
(fma 0.5 (sqrt (/ 1.0 y)) (- (sqrt x)))))
(if (<= t_4 2.0001)
(+ t_3 (- (fma 0.5 (sqrt (/ 1.0 z)) t_2) (+ (sqrt x) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_1 (+ (- 1.0 (sqrt x)) (- (fma 0.5 y 1.0) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + t_1;
double tmp;
if (t_4 <= 1.002) {
tmp = t_3 + fma(-0.125, sqrt((1.0 / (y * (y * y)))), fma(0.5, sqrt((1.0 / y)), -sqrt(x)));
} else if (t_4 <= 2.0001) {
tmp = t_3 + (fma(0.5, sqrt((1.0 / z)), t_2) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_1 + ((1.0 - sqrt(x)) + (fma(0.5, y, 1.0) - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + t_1) tmp = 0.0 if (t_4 <= 1.002) tmp = Float64(t_3 + fma(-0.125, sqrt(Float64(1.0 / Float64(y * Float64(y * y)))), fma(0.5, sqrt(Float64(1.0 / y)), Float64(-sqrt(x))))); elseif (t_4 <= 2.0001) tmp = Float64(t_3 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_2) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_1 + Float64(Float64(1.0 - sqrt(x)) + Float64(fma(0.5, y, 1.0) - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$4, 1.002], N[(t$95$3 + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * y + 1.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + t\_1\\
\mathbf{if}\;t\_4 \leq 1.002:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(-0.125, \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}, \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, -\sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_1 + \left(\left(1 - \sqrt{x}\right) + \left(\mathsf{fma}\left(0.5, y, 1\right) - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 82.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.3
Applied rewrites4.3%
Taylor expanded in z around inf
Applied rewrites13.1%
Taylor expanded in y around inf
Applied rewrites12.5%
if 1.002 < (+.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 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.1
Applied rewrites27.1%
Taylor expanded in z around inf
Applied rewrites17.9%
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 98.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.3
Applied rewrites96.3%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6490.3
Applied rewrites90.3%
Final simplification25.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ x 1.0)))
(t_3
(+
(+ (- t_1 (sqrt y)) (- t_2 (sqrt x)))
(- (sqrt (+ 1.0 z)) (sqrt z)))))
(if (<= t_3 1.002)
(+
t_2
(fma
-0.125
(sqrt (/ 1.0 (* y (* y y))))
(fma 0.5 (sqrt (/ 1.0 y)) (- (sqrt x)))))
(if (<= t_3 2.5)
(+ t_2 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (+ (sqrt x) (sqrt y))))
(+
(/ (- (+ 1.0 t) t) (+ (sqrt t) (sqrt (+ 1.0 t))))
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- 1.0 (sqrt z))))))))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 + 1.0));
double t_3 = ((t_1 - sqrt(y)) + (t_2 - sqrt(x))) + (sqrt((1.0 + z)) - sqrt(z));
double tmp;
if (t_3 <= 1.002) {
tmp = t_2 + fma(-0.125, sqrt((1.0 / (y * (y * y)))), fma(0.5, sqrt((1.0 / y)), -sqrt(x)));
} else if (t_3 <= 2.5) {
tmp = t_2 + (fma(0.5, sqrt((1.0 / z)), t_1) - (sqrt(x) + sqrt(y)));
} else {
tmp = (((1.0 + t) - t) / (sqrt(t) + sqrt((1.0 + t)))) + (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z)));
}
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(x + 1.0)) t_3 = Float64(Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) tmp = 0.0 if (t_3 <= 1.002) tmp = Float64(t_2 + fma(-0.125, sqrt(Float64(1.0 / Float64(y * Float64(y * y)))), fma(0.5, sqrt(Float64(1.0 / y)), Float64(-sqrt(x))))); elseif (t_3 <= 2.5) tmp = Float64(t_2 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + sqrt(Float64(1.0 + t)))) + Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 1.002], N[(t$95$2 + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 2.5], N[(t$95$2 + 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]), $MachinePrecision], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(\left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\\
\mathbf{if}\;t\_3 \leq 1.002:\\
\;\;\;\;t\_2 + \mathsf{fma}\left(-0.125, \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}, \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, -\sqrt{x}\right)\right)\\
\mathbf{elif}\;t\_3 \leq 2.5:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{\sqrt{t} + \sqrt{1 + t}} + \left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(1 - \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 82.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.3
Applied rewrites4.3%
Taylor expanded in z around inf
Applied rewrites13.1%
Taylor expanded in y around inf
Applied rewrites12.5%
if 1.002 < (+.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))) < 2.5Initial program 96.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.2
Applied rewrites28.2%
Taylor expanded in z around inf
Applied rewrites18.1%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 100.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.9
Applied rewrites99.9%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6497.6
Applied rewrites97.6%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6494.9
Applied rewrites94.9%
Final simplification24.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ x 1.0)))
(t_3
(+
(+ (- t_1 (sqrt y)) (- t_2 (sqrt x)))
(- (sqrt (+ 1.0 z)) (sqrt z)))))
(if (<= t_3 1.0001)
(+ t_2 (- (/ 0.5 (sqrt y)) (sqrt x)))
(if (<= t_3 2.5)
(+ t_2 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (+ (sqrt x) (sqrt y))))
(+
(/ (- (+ 1.0 t) t) (+ (sqrt t) (sqrt (+ 1.0 t))))
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- 1.0 (sqrt z))))))))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 + 1.0));
double t_3 = ((t_1 - sqrt(y)) + (t_2 - sqrt(x))) + (sqrt((1.0 + z)) - sqrt(z));
double tmp;
if (t_3 <= 1.0001) {
tmp = t_2 + ((0.5 / sqrt(y)) - sqrt(x));
} else if (t_3 <= 2.5) {
tmp = t_2 + (fma(0.5, sqrt((1.0 / z)), t_1) - (sqrt(x) + sqrt(y)));
} else {
tmp = (((1.0 + t) - t) / (sqrt(t) + sqrt((1.0 + t)))) + (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z)));
}
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(x + 1.0)) t_3 = Float64(Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) tmp = 0.0 if (t_3 <= 1.0001) tmp = Float64(t_2 + Float64(Float64(0.5 / sqrt(y)) - sqrt(x))); elseif (t_3 <= 2.5) tmp = Float64(t_2 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + sqrt(Float64(1.0 + t)))) + Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 1.0001], N[(t$95$2 + N[(N[(0.5 / N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 2.5], N[(t$95$2 + 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]), $MachinePrecision], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(\left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\\
\mathbf{if}\;t\_3 \leq 1.0001:\\
\;\;\;\;t\_2 + \left(\frac{0.5}{\sqrt{y}} - \sqrt{x}\right)\\
\mathbf{elif}\;t\_3 \leq 2.5:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{\sqrt{t} + \sqrt{1 + t}} + \left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(1 - \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 82.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.3
Applied rewrites4.3%
Taylor expanded in z around inf
Applied rewrites13.1%
Taylor expanded in y around inf
Applied rewrites13.5%
Applied rewrites13.5%
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))) < 2.5Initial program 96.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.2
Applied rewrites28.2%
Taylor expanded in z around inf
Applied rewrites18.1%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 100.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6499.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.9
Applied rewrites99.9%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6497.6
Applied rewrites97.6%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6494.9
Applied rewrites94.9%
Final simplification25.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- t_1 (sqrt y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ t_2 (- t_3 (sqrt x))) (- (sqrt (+ 1.0 z)) (sqrt z)))))
(if (<= t_4 1.0001)
(+ t_3 (- (/ 0.5 (sqrt y)) (sqrt x)))
(if (<= t_4 2.5)
(+ t_3 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) (+ (sqrt x) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (+ t_2 (- 1.0 (sqrt x))) (- 1.0 (sqrt z))))))))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 = t_1 - sqrt(y);
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 + (t_3 - sqrt(x))) + (sqrt((1.0 + z)) - sqrt(z));
double tmp;
if (t_4 <= 1.0001) {
tmp = t_3 + ((0.5 / sqrt(y)) - sqrt(x));
} else if (t_4 <= 2.5) {
tmp = t_3 + (fma(0.5, sqrt((1.0 / z)), t_1) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((t_2 + (1.0 - sqrt(x))) + (1.0 - sqrt(z)));
}
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(t_1 - sqrt(y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 + Float64(t_3 - sqrt(x))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(t_3 + Float64(Float64(0.5 / sqrt(y)) - sqrt(x))); elseif (t_4 <= 2.5) tmp = Float64(t_3 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_2 + Float64(1.0 - sqrt(x))) + Float64(1.0 - sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(t$95$3 + N[(N[(0.5 / N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.5], N[(t$95$3 + 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]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := t\_1 - \sqrt{y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_2 + \left(t\_3 - \sqrt{x}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;t\_3 + \left(\frac{0.5}{\sqrt{y}} - \sqrt{x}\right)\\
\mathbf{elif}\;t\_4 \leq 2.5:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_2 + \left(1 - \sqrt{x}\right)\right) + \left(1 - \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 82.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.3
Applied rewrites4.3%
Taylor expanded in z around inf
Applied rewrites13.1%
Taylor expanded in y around inf
Applied rewrites13.5%
Applied rewrites13.5%
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))) < 2.5Initial program 96.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6428.2
Applied rewrites28.2%
Taylor expanded in z around inf
Applied rewrites18.1%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 100.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6497.2
Applied rewrites97.2%
Final simplification25.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_4 1.0001)
(+ t_3 (- (/ 0.5 (sqrt y)) (sqrt x)))
(if (<= t_4 2.0001)
(+ t_3 (- (fma 0.5 (sqrt (/ 1.0 z)) t_2) (+ (sqrt x) (sqrt y))))
(+ (+ t_1 1.0) (- t_3 (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1.0001) {
tmp = t_3 + ((0.5 / sqrt(y)) - sqrt(x));
} else if (t_4 <= 2.0001) {
tmp = t_3 + (fma(0.5, sqrt((1.0 / z)), t_2) - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_1 + 1.0) + (t_3 - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(t_3 + Float64(Float64(0.5 / sqrt(y)) - sqrt(x))); elseif (t_4 <= 2.0001) tmp = Float64(t_3 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_2) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_1 + 1.0) + Float64(t_3 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(t$95$3 + N[(N[(0.5 / N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0001], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(t$95$3 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;t\_3 + \left(\frac{0.5}{\sqrt{y}} - \sqrt{x}\right)\\
\mathbf{elif}\;t\_4 \leq 2.0001:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) + \left(t\_3 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 82.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.3
Applied rewrites4.3%
Taylor expanded in z around inf
Applied rewrites13.1%
Taylor expanded in y around inf
Applied rewrites13.5%
Applied rewrites13.5%
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 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.1
Applied rewrites27.1%
Taylor expanded in z around inf
Applied rewrites17.9%
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 98.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6456.2
Applied rewrites56.2%
Taylor expanded in y around 0
Applied rewrites51.5%
Final simplification20.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_4 1.0001)
(+ t_3 (- (/ 0.5 (sqrt y)) (sqrt x)))
(if (<= t_4 2.0)
(+ (fma x 0.5 1.0) (- t_2 (+ (sqrt x) (sqrt y))))
(+ t_2 (+ t_1 (- 1.0 (+ (sqrt x) (+ (sqrt y) (sqrt z))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1.0001) {
tmp = t_3 + ((0.5 / sqrt(y)) - sqrt(x));
} else if (t_4 <= 2.0) {
tmp = fma(x, 0.5, 1.0) + (t_2 - (sqrt(x) + sqrt(y)));
} else {
tmp = t_2 + (t_1 + (1.0 - (sqrt(x) + (sqrt(y) + sqrt(z)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(t_3 + Float64(Float64(0.5 / sqrt(y)) - sqrt(x))); elseif (t_4 <= 2.0) tmp = Float64(fma(x, 0.5, 1.0) + Float64(t_2 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(t_2 + Float64(t_1 + Float64(1.0 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(t$95$3 + N[(N[(0.5 / N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(t$95$1 + N[(1.0 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;t\_3 + \left(\frac{0.5}{\sqrt{y}} - \sqrt{x}\right)\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\mathsf{fma}\left(x, 0.5, 1\right) + \left(t\_2 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(t\_1 + \left(1 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 82.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.3
Applied rewrites4.3%
Taylor expanded in z around inf
Applied rewrites13.1%
Taylor expanded in y around inf
Applied rewrites13.5%
Applied rewrites13.5%
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))) < 2Initial program 97.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.6
Applied rewrites25.6%
Taylor expanded in z around inf
Applied rewrites20.9%
Taylor expanded in x around 0
Applied rewrites21.1%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6456.5
Applied rewrites56.5%
Applied rewrites56.5%
Taylor expanded in x around 0
Applied rewrites52.8%
Final simplification22.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_4 1.0001)
(+ t_3 (- (/ 0.5 (sqrt y)) (sqrt x)))
(if (<= t_4 2.0)
(+ (fma x 0.5 1.0) (- t_2 (+ (sqrt x) (sqrt y))))
(+ (+ t_1 1.0) (- t_3 (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1.0001) {
tmp = t_3 + ((0.5 / sqrt(y)) - sqrt(x));
} else if (t_4 <= 2.0) {
tmp = fma(x, 0.5, 1.0) + (t_2 - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_1 + 1.0) + (t_3 - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(t_3 + Float64(Float64(0.5 / sqrt(y)) - sqrt(x))); elseif (t_4 <= 2.0) tmp = Float64(fma(x, 0.5, 1.0) + Float64(t_2 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_1 + 1.0) + Float64(t_3 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(t$95$3 + N[(N[(0.5 / N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(t$95$3 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;t\_3 + \left(\frac{0.5}{\sqrt{y}} - \sqrt{x}\right)\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\mathsf{fma}\left(x, 0.5, 1\right) + \left(t\_2 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) + \left(t\_3 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 82.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.3
Applied rewrites4.3%
Taylor expanded in z around inf
Applied rewrites13.1%
Taylor expanded in y around inf
Applied rewrites13.5%
Applied rewrites13.5%
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))) < 2Initial program 97.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.6
Applied rewrites25.6%
Taylor expanded in z around inf
Applied rewrites20.9%
Taylor expanded in x around 0
Applied rewrites21.1%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6456.5
Applied rewrites56.5%
Taylor expanded in y around 0
Applied rewrites50.3%
Final simplification21.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_4 1.0001)
(+ t_3 (- (/ 0.5 (sqrt y)) (sqrt x)))
(if (<= t_4 2.0)
(+ (fma x 0.5 1.0) (- t_2 (+ (sqrt x) (sqrt y))))
(+ 1.0 (- (+ t_2 t_1) (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1.0001) {
tmp = t_3 + ((0.5 / sqrt(y)) - sqrt(x));
} else if (t_4 <= 2.0) {
tmp = fma(x, 0.5, 1.0) + (t_2 - (sqrt(x) + sqrt(y)));
} else {
tmp = 1.0 + ((t_2 + t_1) - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(t_3 + Float64(Float64(0.5 / sqrt(y)) - sqrt(x))); elseif (t_4 <= 2.0) tmp = Float64(fma(x, 0.5, 1.0) + Float64(t_2 - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(1.0 + Float64(Float64(t_2 + t_1) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(t$95$3 + N[(N[(0.5 / N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;t\_3 + \left(\frac{0.5}{\sqrt{y}} - \sqrt{x}\right)\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\mathsf{fma}\left(x, 0.5, 1\right) + \left(t\_2 - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 + t\_1\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 82.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.3
Applied rewrites4.3%
Taylor expanded in z around inf
Applied rewrites13.1%
Taylor expanded in y around inf
Applied rewrites13.5%
Applied rewrites13.5%
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))) < 2Initial program 97.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.6
Applied rewrites25.6%
Taylor expanded in z around inf
Applied rewrites20.9%
Taylor expanded in x around 0
Applied rewrites21.1%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6456.5
Applied rewrites56.5%
Taylor expanded in x around 0
Applied rewrites52.7%
Final simplification22.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ x 1.0))))
(if (<= (+ (+ (- t_2 (sqrt y)) (- t_4 (sqrt x))) (- t_1 (sqrt z))) 2.0)
(+ t_3 (+ t_4 (- (/ 1.0 (+ (sqrt y) t_2)) (sqrt x))))
(fma
(- (+ 1.0 z) z)
(/ 1.0 (+ (sqrt z) t_1))
(+ t_3 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((x + 1.0));
double tmp;
if ((((t_2 - sqrt(y)) + (t_4 - sqrt(x))) + (t_1 - sqrt(z))) <= 2.0) {
tmp = t_3 + (t_4 + ((1.0 / (sqrt(y) + t_2)) - sqrt(x)));
} else {
tmp = fma(((1.0 + z) - z), (1.0 / (sqrt(z) + t_1)), (t_3 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_4 - sqrt(x))) + Float64(t_1 - sqrt(z))) <= 2.0) tmp = Float64(t_3 + Float64(t_4 + Float64(Float64(1.0 / Float64(sqrt(y) + t_2)) - sqrt(x)))); else tmp = fma(Float64(Float64(1.0 + z) - z), Float64(1.0 / Float64(sqrt(z) + t_1)), Float64(t_3 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], N[(t$95$3 + N[(t$95$4 + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{x + 1}\\
\mathbf{if}\;\left(\left(t\_2 - \sqrt{y}\right) + \left(t\_4 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right) \leq 2:\\
\;\;\;\;t\_3 + \left(t\_4 + \left(\frac{1}{\sqrt{y} + t\_2} - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\left(1 + z\right) - z, \frac{1}{\sqrt{z} + t\_1}, t\_3 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 88.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6488.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6488.7
Applied rewrites88.7%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6440.1
Applied rewrites40.1%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6490.8
Applied rewrites90.8%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
lift--.f64N/A
flip--N/A
div-invN/A
Applied rewrites91.9%
Taylor expanded in y around 0
Applied rewrites83.6%
Final simplification47.0%
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 (+ 1.0 y))))
(if (<=
(+
(+
(+ (- t_2 (sqrt y)) (- t_1 (sqrt x)))
(- (sqrt (+ 1.0 z)) (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t)))
1.0001)
(+ t_1 (- (/ 0.5 (sqrt y)) (sqrt x)))
(+ (- t_2 (+ (sqrt x) (sqrt y))) 1.0))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + y));
double tmp;
if (((((t_2 - sqrt(y)) + (t_1 - sqrt(x))) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t))) <= 1.0001) {
tmp = t_1 + ((0.5 / sqrt(y)) - sqrt(x));
} else {
tmp = (t_2 - (sqrt(x) + sqrt(y))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + y))
if (((((t_2 - sqrt(y)) + (t_1 - sqrt(x))) + (sqrt((1.0d0 + z)) - sqrt(z))) + (sqrt((1.0d0 + t)) - sqrt(t))) <= 1.0001d0) then
tmp = t_1 + ((0.5d0 / sqrt(y)) - sqrt(x))
else
tmp = (t_2 - (sqrt(x) + sqrt(y))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt((1.0 + y));
double tmp;
if (((((t_2 - Math.sqrt(y)) + (t_1 - Math.sqrt(x))) + (Math.sqrt((1.0 + z)) - Math.sqrt(z))) + (Math.sqrt((1.0 + t)) - Math.sqrt(t))) <= 1.0001) {
tmp = t_1 + ((0.5 / Math.sqrt(y)) - Math.sqrt(x));
} else {
tmp = (t_2 - (Math.sqrt(x) + Math.sqrt(y))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt((1.0 + y)) tmp = 0 if ((((t_2 - math.sqrt(y)) + (t_1 - math.sqrt(x))) + (math.sqrt((1.0 + z)) - math.sqrt(z))) + (math.sqrt((1.0 + t)) - math.sqrt(t))) <= 1.0001: tmp = t_1 + ((0.5 / math.sqrt(y)) - math.sqrt(x)) else: tmp = (t_2 - (math.sqrt(x) + math.sqrt(y))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_1 - sqrt(x))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) <= 1.0001) tmp = Float64(t_1 + Float64(Float64(0.5 / sqrt(y)) - sqrt(x))); else tmp = Float64(Float64(t_2 - Float64(sqrt(x) + sqrt(y))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = sqrt((1.0 + y));
tmp = 0.0;
if (((((t_2 - sqrt(y)) + (t_1 - sqrt(x))) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t))) <= 1.0001)
tmp = t_1 + ((0.5 / sqrt(y)) - sqrt(x));
else
tmp = (t_2 - (sqrt(x) + sqrt(y))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0001], N[(t$95$1 + N[(N[(0.5 / N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + y}\\
\mathbf{if}\;\left(\left(\left(t\_2 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right) \leq 1.0001:\\
\;\;\;\;t\_1 + \left(\frac{0.5}{\sqrt{y}} - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 - \left(\sqrt{x} + \sqrt{y}\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))) < 1.00009999999999999Initial program 70.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.9
Applied rewrites3.9%
Taylor expanded in z around inf
Applied rewrites16.1%
Taylor expanded in y around inf
Applied rewrites16.9%
Applied rewrites16.9%
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))) Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.4
Applied rewrites25.4%
Taylor expanded in z around inf
Applied rewrites17.0%
Taylor expanded in x around 0
Applied rewrites16.3%
Final simplification16.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))))
(if (<=
(+
(+
(+ (- t_1 (sqrt y)) (- (sqrt (+ x 1.0)) (sqrt x)))
(- (sqrt (+ 1.0 z)) (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t)))
1.0001)
(+ (fma x 0.5 1.0) (fma 0.5 (sqrt (/ 1.0 y)) (- (sqrt x))))
(+ (- t_1 (+ (sqrt x) (sqrt y))) 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 tmp;
if (((((t_1 - sqrt(y)) + (sqrt((x + 1.0)) - sqrt(x))) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t))) <= 1.0001) {
tmp = fma(x, 0.5, 1.0) + fma(0.5, sqrt((1.0 / y)), -sqrt(x));
} else {
tmp = (t_1 - (sqrt(x) + sqrt(y))) + 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)) tmp = 0.0 if (Float64(Float64(Float64(Float64(t_1 - sqrt(y)) + Float64(sqrt(Float64(x + 1.0)) - sqrt(x))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) <= 1.0001) tmp = Float64(fma(x, 0.5, 1.0) + fma(0.5, sqrt(Float64(1.0 / y)), Float64(-sqrt(x)))); else tmp = Float64(Float64(t_1 - Float64(sqrt(x) + sqrt(y))) + 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]}, If[LessEqual[N[(N[(N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0001], N[(N[(x * 0.5 + 1.0), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $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}\\
\mathbf{if}\;\left(\left(\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{x + 1} - \sqrt{x}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right) \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(x, 0.5, 1\right) + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, -\sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 - \left(\sqrt{x} + \sqrt{y}\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))) < 1.00009999999999999Initial program 70.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.9
Applied rewrites3.9%
Taylor expanded in z around inf
Applied rewrites16.1%
Taylor expanded in y around inf
Applied rewrites16.9%
Taylor expanded in x around 0
Applied rewrites15.4%
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))) Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6425.4
Applied rewrites25.4%
Taylor expanded in z around inf
Applied rewrites17.0%
Taylor expanded in x around 0
Applied rewrites16.3%
Final simplification16.1%
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 (+ x 1.0)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (sqrt (+ 1.0 z))))
(if (<= z 6.5e-8)
(+
(+ (- t_4 (sqrt z)) (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))))
(/ 1.0 (+ (sqrt t) t_3)))
(if (<= z 5.4e+28)
(+ t_1 (- (+ t_2 (/ 1.0 (+ (sqrt z) t_4))) (+ (sqrt x) (sqrt y))))
(+ (- t_3 (sqrt t)) (+ t_1 (- (/ 1.0 (+ (sqrt y) t_2)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 + t));
double t_4 = sqrt((1.0 + z));
double tmp;
if (z <= 6.5e-8) {
tmp = ((t_4 - sqrt(z)) + ((1.0 - sqrt(x)) + (1.0 - sqrt(y)))) + (1.0 / (sqrt(t) + t_3));
} else if (z <= 5.4e+28) {
tmp = t_1 + ((t_2 + (1.0 / (sqrt(z) + t_4))) - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_3 - sqrt(t)) + (t_1 + ((1.0 / (sqrt(y) + t_2)) - sqrt(x)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + y))
t_3 = sqrt((1.0d0 + t))
t_4 = sqrt((1.0d0 + z))
if (z <= 6.5d-8) then
tmp = ((t_4 - sqrt(z)) + ((1.0d0 - sqrt(x)) + (1.0d0 - sqrt(y)))) + (1.0d0 / (sqrt(t) + t_3))
else if (z <= 5.4d+28) then
tmp = t_1 + ((t_2 + (1.0d0 / (sqrt(z) + t_4))) - (sqrt(x) + sqrt(y)))
else
tmp = (t_3 - sqrt(t)) + (t_1 + ((1.0d0 / (sqrt(y) + t_2)) - sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt((1.0 + y));
double t_3 = Math.sqrt((1.0 + t));
double t_4 = Math.sqrt((1.0 + z));
double tmp;
if (z <= 6.5e-8) {
tmp = ((t_4 - Math.sqrt(z)) + ((1.0 - Math.sqrt(x)) + (1.0 - Math.sqrt(y)))) + (1.0 / (Math.sqrt(t) + t_3));
} else if (z <= 5.4e+28) {
tmp = t_1 + ((t_2 + (1.0 / (Math.sqrt(z) + t_4))) - (Math.sqrt(x) + Math.sqrt(y)));
} else {
tmp = (t_3 - Math.sqrt(t)) + (t_1 + ((1.0 / (Math.sqrt(y) + t_2)) - Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt((1.0 + y)) t_3 = math.sqrt((1.0 + t)) t_4 = math.sqrt((1.0 + z)) tmp = 0 if z <= 6.5e-8: tmp = ((t_4 - math.sqrt(z)) + ((1.0 - math.sqrt(x)) + (1.0 - math.sqrt(y)))) + (1.0 / (math.sqrt(t) + t_3)) elif z <= 5.4e+28: tmp = t_1 + ((t_2 + (1.0 / (math.sqrt(z) + t_4))) - (math.sqrt(x) + math.sqrt(y))) else: tmp = (t_3 - math.sqrt(t)) + (t_1 + ((1.0 / (math.sqrt(y) + t_2)) - math.sqrt(x))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(1.0 + t)) t_4 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (z <= 6.5e-8) tmp = Float64(Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y)))) + Float64(1.0 / Float64(sqrt(t) + t_3))); elseif (z <= 5.4e+28) tmp = Float64(t_1 + Float64(Float64(t_2 + Float64(1.0 / Float64(sqrt(z) + t_4))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_3 - sqrt(t)) + Float64(t_1 + Float64(Float64(1.0 / Float64(sqrt(y) + t_2)) - sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = sqrt((1.0 + y));
t_3 = sqrt((1.0 + t));
t_4 = sqrt((1.0 + z));
tmp = 0.0;
if (z <= 6.5e-8)
tmp = ((t_4 - sqrt(z)) + ((1.0 - sqrt(x)) + (1.0 - sqrt(y)))) + (1.0 / (sqrt(t) + t_3));
elseif (z <= 5.4e+28)
tmp = t_1 + ((t_2 + (1.0 / (sqrt(z) + t_4))) - (sqrt(x) + sqrt(y)));
else
tmp = (t_3 - sqrt(t)) + (t_1 + ((1.0 / (sqrt(y) + t_2)) - sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 6.5e-8], N[(N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, 5.4e+28], N[(t$95$1 + N[(N[(t$95$2 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{1 + t}\\
t_4 := \sqrt{1 + z}\\
\mathbf{if}\;z \leq 6.5 \cdot 10^{-8}:\\
\;\;\;\;\left(\left(t\_4 - \sqrt{z}\right) + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right) + \frac{1}{\sqrt{t} + t\_3}\\
\mathbf{elif}\;z \leq 5.4 \cdot 10^{+28}:\\
\;\;\;\;t\_1 + \left(\left(t\_2 + \frac{1}{\sqrt{z} + t\_4}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_3 - \sqrt{t}\right) + \left(t\_1 + \left(\frac{1}{\sqrt{y} + t\_2} - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if z < 6.49999999999999997e-8Initial program 96.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6451.0
Applied rewrites51.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6451.1
lift-+.f64N/A
+-commutativeN/A
lower-+.f6451.1
Applied rewrites51.1%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6424.6
Applied rewrites24.6%
Taylor expanded in t around 0
Applied rewrites24.6%
if 6.49999999999999997e-8 < z < 5.4000000000000003e28Initial program 85.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6445.0
Applied rewrites45.0%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
lift--.f64N/A
flip--N/A
div-invN/A
Applied rewrites50.4%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.5
Applied rewrites17.5%
if 5.4000000000000003e28 < z Initial program 82.1%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6482.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6482.6
Applied rewrites82.6%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6461.3
Applied rewrites61.3%
Final simplification40.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0))) (t_2 (sqrt (+ 1.0 y))) (t_3 (sqrt (+ 1.0 t))))
(if (<= z 3.7e-13)
(+
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- (fma z 0.5 1.0) (sqrt z)))
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_3)))
(if (<= z 5.4e+28)
(+
t_1
(-
(+ t_2 (/ 1.0 (+ (sqrt z) (sqrt (+ 1.0 z)))))
(+ (sqrt x) (sqrt y))))
(+ (- t_3 (sqrt t)) (+ t_1 (- (/ 1.0 (+ (sqrt y) t_2)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 + t));
double tmp;
if (z <= 3.7e-13) {
tmp = (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (fma(z, 0.5, 1.0) - sqrt(z))) + (((1.0 + t) - t) / (sqrt(t) + t_3));
} else if (z <= 5.4e+28) {
tmp = t_1 + ((t_2 + (1.0 / (sqrt(z) + sqrt((1.0 + z))))) - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_3 - sqrt(t)) + (t_1 + ((1.0 / (sqrt(y) + t_2)) - sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(1.0 + t)) tmp = 0.0 if (z <= 3.7e-13) tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(fma(z, 0.5, 1.0) - sqrt(z))) + Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_3))); elseif (z <= 5.4e+28) tmp = Float64(t_1 + Float64(Float64(t_2 + Float64(1.0 / Float64(sqrt(z) + sqrt(Float64(1.0 + z))))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_3 - sqrt(t)) + Float64(t_1 + Float64(Float64(1.0 / Float64(sqrt(y) + t_2)) - sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 3.7e-13], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(z * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, 5.4e+28], N[(t$95$1 + N[(N[(t$95$2 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{1 + t}\\
\mathbf{if}\;z \leq 3.7 \cdot 10^{-13}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(\mathsf{fma}\left(z, 0.5, 1\right) - \sqrt{z}\right)\right) + \frac{\left(1 + t\right) - t}{\sqrt{t} + t\_3}\\
\mathbf{elif}\;z \leq 5.4 \cdot 10^{+28}:\\
\;\;\;\;t\_1 + \left(\left(t\_2 + \frac{1}{\sqrt{z} + \sqrt{1 + z}}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_3 - \sqrt{t}\right) + \left(t\_1 + \left(\frac{1}{\sqrt{y} + t\_2} - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if z < 3.69999999999999989e-13Initial program 96.8%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6450.1
Applied rewrites50.1%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6450.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6450.2
Applied rewrites50.2%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6424.8
Applied rewrites24.8%
Taylor expanded in z around 0
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6424.8
Applied rewrites24.8%
if 3.69999999999999989e-13 < z < 5.4000000000000003e28Initial program 87.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6451.7
Applied rewrites51.7%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
lift--.f64N/A
flip--N/A
div-invN/A
Applied rewrites56.1%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.9
Applied rewrites20.9%
if 5.4000000000000003e28 < z Initial program 82.1%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6482.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6482.6
Applied rewrites82.6%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6461.3
Applied rewrites61.3%
Final simplification40.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 t))) (t_2 (sqrt (+ 1.0 y))) (t_3 (sqrt (+ x 1.0))))
(if (<= z 3.8e-15)
(+
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_1))
(+ (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y))) (- 1.0 (sqrt z))))
(if (<= z 5.4e+28)
(+
t_3
(-
(+ t_2 (/ 1.0 (+ (sqrt z) (sqrt (+ 1.0 z)))))
(+ (sqrt x) (sqrt y))))
(+ (- t_1 (sqrt t)) (+ t_3 (- (/ 1.0 (+ (sqrt y) t_2)) (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 + t));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double tmp;
if (z <= 3.8e-15) {
tmp = (((1.0 + t) - t) / (sqrt(t) + t_1)) + (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z)));
} else if (z <= 5.4e+28) {
tmp = t_3 + ((t_2 + (1.0 / (sqrt(z) + sqrt((1.0 + z))))) - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_1 - sqrt(t)) + (t_3 + ((1.0 / (sqrt(y) + t_2)) - sqrt(x)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + t))
t_2 = sqrt((1.0d0 + y))
t_3 = sqrt((x + 1.0d0))
if (z <= 3.8d-15) then
tmp = (((1.0d0 + t) - t) / (sqrt(t) + t_1)) + (((1.0d0 - sqrt(x)) + (1.0d0 - sqrt(y))) + (1.0d0 - sqrt(z)))
else if (z <= 5.4d+28) then
tmp = t_3 + ((t_2 + (1.0d0 / (sqrt(z) + sqrt((1.0d0 + z))))) - (sqrt(x) + sqrt(y)))
else
tmp = (t_1 - sqrt(t)) + (t_3 + ((1.0d0 / (sqrt(y) + t_2)) - sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + t));
double t_2 = Math.sqrt((1.0 + y));
double t_3 = Math.sqrt((x + 1.0));
double tmp;
if (z <= 3.8e-15) {
tmp = (((1.0 + t) - t) / (Math.sqrt(t) + t_1)) + (((1.0 - Math.sqrt(x)) + (1.0 - Math.sqrt(y))) + (1.0 - Math.sqrt(z)));
} else if (z <= 5.4e+28) {
tmp = t_3 + ((t_2 + (1.0 / (Math.sqrt(z) + Math.sqrt((1.0 + z))))) - (Math.sqrt(x) + Math.sqrt(y)));
} else {
tmp = (t_1 - Math.sqrt(t)) + (t_3 + ((1.0 / (Math.sqrt(y) + t_2)) - Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + t)) t_2 = math.sqrt((1.0 + y)) t_3 = math.sqrt((x + 1.0)) tmp = 0 if z <= 3.8e-15: tmp = (((1.0 + t) - t) / (math.sqrt(t) + t_1)) + (((1.0 - math.sqrt(x)) + (1.0 - math.sqrt(y))) + (1.0 - math.sqrt(z))) elif z <= 5.4e+28: tmp = t_3 + ((t_2 + (1.0 / (math.sqrt(z) + math.sqrt((1.0 + z))))) - (math.sqrt(x) + math.sqrt(y))) else: tmp = (t_1 - math.sqrt(t)) + (t_3 + ((1.0 / (math.sqrt(y) + t_2)) - math.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 + t)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (z <= 3.8e-15) tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_1)) + Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(z)))); elseif (z <= 5.4e+28) tmp = Float64(t_3 + Float64(Float64(t_2 + Float64(1.0 / Float64(sqrt(z) + sqrt(Float64(1.0 + z))))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_1 - sqrt(t)) + Float64(t_3 + Float64(Float64(1.0 / Float64(sqrt(y) + t_2)) - sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + t));
t_2 = sqrt((1.0 + y));
t_3 = sqrt((x + 1.0));
tmp = 0.0;
if (z <= 3.8e-15)
tmp = (((1.0 + t) - t) / (sqrt(t) + t_1)) + (((1.0 - sqrt(x)) + (1.0 - sqrt(y))) + (1.0 - sqrt(z)));
elseif (z <= 5.4e+28)
tmp = t_3 + ((t_2 + (1.0 / (sqrt(z) + sqrt((1.0 + z))))) - (sqrt(x) + sqrt(y)));
else
tmp = (t_1 - sqrt(t)) + (t_3 + ((1.0 / (sqrt(y) + t_2)) - sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 3.8e-15], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, 5.4e+28], N[(t$95$3 + N[(N[(t$95$2 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
\mathbf{if}\;z \leq 3.8 \cdot 10^{-15}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{\sqrt{t} + t\_1} + \left(\left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right) + \left(1 - \sqrt{z}\right)\right)\\
\mathbf{elif}\;z \leq 5.4 \cdot 10^{+28}:\\
\;\;\;\;t\_3 + \left(\left(t\_2 + \frac{1}{\sqrt{z} + \sqrt{1 + z}}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 - \sqrt{t}\right) + \left(t\_3 + \left(\frac{1}{\sqrt{y} + t\_2} - \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if z < 3.8000000000000002e-15Initial program 96.8%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6450.1
Applied rewrites50.1%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6450.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6450.2
Applied rewrites50.2%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6424.8
Applied rewrites24.8%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6424.8
Applied rewrites24.8%
if 3.8000000000000002e-15 < z < 5.4000000000000003e28Initial program 87.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6451.7
Applied rewrites51.7%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
lift--.f64N/A
flip--N/A
div-invN/A
Applied rewrites56.1%
Taylor expanded in t around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.9
Applied rewrites20.9%
if 5.4000000000000003e28 < z Initial program 82.1%
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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6482.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6482.6
Applied rewrites82.6%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6461.3
Applied rewrites61.3%
Final simplification40.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))))
(if (<= (- t_1 (sqrt y)) 0.0)
(- (sqrt (+ x 1.0)) (sqrt x))
(- (+ 1.0 (fma x 0.5 t_1)) (+ (sqrt x) (sqrt y))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double tmp;
if ((t_1 - sqrt(y)) <= 0.0) {
tmp = sqrt((x + 1.0)) - sqrt(x);
} else {
tmp = (1.0 + fma(x, 0.5, t_1)) - (sqrt(x) + sqrt(y));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(t_1 - sqrt(y)) <= 0.0) tmp = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)); else tmp = Float64(Float64(1.0 + fma(x, 0.5, t_1)) - Float64(sqrt(x) + sqrt(y))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(x * 0.5 + t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
\mathbf{if}\;t\_1 - \sqrt{y} \leq 0:\\
\;\;\;\;\sqrt{x + 1} - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \mathsf{fma}\left(x, 0.5, t\_1\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 83.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.6
Applied rewrites5.6%
Taylor expanded in z around inf
Applied rewrites15.7%
Taylor expanded in y around inf
Applied rewrites16.7%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 95.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6433.6
Applied rewrites33.6%
Taylor expanded in z around inf
Applied rewrites17.7%
Taylor expanded in y around inf
Applied rewrites6.8%
Taylor expanded in x around 0
Applied rewrites17.3%
Final simplification17.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt (+ 1.0 y)) (+ (sqrt x) (sqrt y))) 1.0))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((1.0 + y)) - (sqrt(x) + sqrt(y))) + 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((1.0d0 + y)) - (sqrt(x) + sqrt(y))) + 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((1.0 + y)) - (Math.sqrt(x) + Math.sqrt(y))) + 1.0;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt((1.0 + y)) - (math.sqrt(x) + math.sqrt(y))) + 1.0
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(1.0 + y)) - Float64(sqrt(x) + sqrt(y))) + 1.0) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((1.0 + y)) - (sqrt(x) + sqrt(y))) + 1.0;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{1 + y} - \left(\sqrt{x} + \sqrt{y}\right)\right) + 1
\end{array}
Initial program 89.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.6
Applied rewrites19.6%
Taylor expanded in z around inf
Applied rewrites16.7%
Taylor expanded in x around 0
Applied rewrites19.8%
Final simplification19.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt (+ x 1.0)) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt((x + 1.0)) - sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt((x + 1.0d0)) - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt((x + 1.0)) - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt((x + 1.0)) - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt((x + 1.0)) - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{x + 1} - \sqrt{x}
\end{array}
Initial program 89.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.6
Applied rewrites19.6%
Taylor expanded in z around inf
Applied rewrites16.7%
Taylor expanded in y around inf
Applied rewrites13.7%
Final simplification13.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (sqrt y))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt(y);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt(y)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(y);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(y)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return sqrt(y) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt(y);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[Sqrt[y], $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{y}
\end{array}
Initial program 89.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.6
Applied rewrites19.6%
Applied rewrites19.4%
Taylor expanded in y around inf
Applied rewrites7.0%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024233
(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))))