
(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 21 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 t)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (- t_3 (sqrt z)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ t_4 (+ (- t_5 (sqrt x)) (- t_2 (sqrt y)))))
(t_7 (/ 1.0 (+ (sqrt y) t_2))))
(if (<= t_6 0.0)
(+ (+ (fma 0.5 (sqrt (/ 1.0 x)) t_7) t_4) (- t_1 (sqrt t)))
(if (<= t_6 2.1)
(- (+ (+ t_7 t_5) (/ 1.0 (+ (sqrt z) t_3))) (sqrt x))
(-
(+ (+ 1.0 t_2) (+ t_3 (/ 1.0 (+ (sqrt t) t_1))))
(+ (sqrt x) (+ (sqrt y) (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 + z));
double t_4 = t_3 - sqrt(z);
double t_5 = sqrt((x + 1.0));
double t_6 = t_4 + ((t_5 - sqrt(x)) + (t_2 - sqrt(y)));
double t_7 = 1.0 / (sqrt(y) + t_2);
double tmp;
if (t_6 <= 0.0) {
tmp = (fma(0.5, sqrt((1.0 / x)), t_7) + t_4) + (t_1 - sqrt(t));
} else if (t_6 <= 2.1) {
tmp = ((t_7 + t_5) + (1.0 / (sqrt(z) + t_3))) - sqrt(x);
} else {
tmp = ((1.0 + t_2) + (t_3 + (1.0 / (sqrt(t) + t_1)))) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + t)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(t_3 - sqrt(z)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(t_4 + Float64(Float64(t_5 - sqrt(x)) + Float64(t_2 - sqrt(y)))) t_7 = Float64(1.0 / Float64(sqrt(y) + t_2)) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / x)), t_7) + t_4) + Float64(t_1 - sqrt(t))); elseif (t_6 <= 2.1) tmp = Float64(Float64(Float64(t_7 + t_5) + Float64(1.0 / Float64(sqrt(z) + t_3))) - sqrt(x)); else tmp = Float64(Float64(Float64(1.0 + t_2) + Float64(t_3 + Float64(1.0 / Float64(sqrt(t) + t_1)))) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$4 + N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$7), $MachinePrecision] + t$95$4), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.1], N[(N[(N[(t$95$7 + t$95$5), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + t$95$2), $MachinePrecision] + N[(t$95$3 + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{1 + z}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \sqrt{x + 1}\\
t_6 := t\_4 + \left(\left(t\_5 - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\right)\\
t_7 := \frac{1}{\sqrt{y} + t\_2}\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{x}}, t\_7\right) + t\_4\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_6 \leq 2.1:\\
\;\;\;\;\left(\left(t\_7 + t\_5\right) + \frac{1}{\sqrt{z} + t\_3}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(1 + t\_2\right) + \left(t\_3 + \frac{1}{\sqrt{t} + t\_1}\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 51.1%
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-+.f6451.1
lift-+.f64N/A
+-commutativeN/A
lower-+.f6451.1
Applied rewrites51.1%
Taylor expanded in x around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6478.4
Applied rewrites78.4%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.10000000000000009Initial program 96.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.2
Applied rewrites97.2%
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
lift-+.f64N/A
lower-+.f6497.9
lift-+.f64N/A
+-commutativeN/A
lift-+.f6497.9
Applied rewrites97.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites37.1%
if 2.10000000000000009 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.1%
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-+.f6499.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites98.3%
Final simplification49.6%
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 (sqrt (+ 1.0 z)))
(t_4 (+ (- t_3 (sqrt z)) (+ (- t_2 (sqrt x)) (- t_1 (sqrt y)))))
(t_5 (- t_1 (sqrt x))))
(if (<= t_4 1.0001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_2) (sqrt x))
(if (<= t_4 2.00003)
(+ (/ 0.5 (sqrt z)) (+ t_2 (- t_5 (sqrt y))))
(if (<= t_4 2.99999995)
(+ 2.0 (- (fma y 0.5 t_3) (+ (sqrt z) (+ (sqrt x) (sqrt y)))))
(+
(/ 1.0 (+ (sqrt t) (sqrt (+ 1.0 t))))
(- (+ t_5 2.0) (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 = sqrt((1.0 + z));
double t_4 = (t_3 - sqrt(z)) + ((t_2 - sqrt(x)) + (t_1 - sqrt(y)));
double t_5 = t_1 - sqrt(x);
double tmp;
if (t_4 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_2) - sqrt(x);
} else if (t_4 <= 2.00003) {
tmp = (0.5 / sqrt(z)) + (t_2 + (t_5 - sqrt(y)));
} else if (t_4 <= 2.99999995) {
tmp = 2.0 + (fma(y, 0.5, t_3) - (sqrt(z) + (sqrt(x) + sqrt(y))));
} else {
tmp = (1.0 / (sqrt(t) + sqrt((1.0 + t)))) + ((t_5 + 2.0) - 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 = sqrt(Float64(1.0 + z)) t_4 = Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_2 - sqrt(x)) + Float64(t_1 - sqrt(y)))) t_5 = Float64(t_1 - sqrt(x)) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_2) - sqrt(x)); elseif (t_4 <= 2.00003) tmp = Float64(Float64(0.5 / sqrt(z)) + Float64(t_2 + Float64(t_5 - sqrt(y)))); elseif (t_4 <= 2.99999995) tmp = Float64(2.0 + Float64(fma(y, 0.5, t_3) - Float64(sqrt(z) + Float64(sqrt(x) + sqrt(y))))); else tmp = Float64(Float64(1.0 / Float64(sqrt(t) + sqrt(Float64(1.0 + t)))) + Float64(Float64(t_5 + 2.0) - 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[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00003], N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.99999995], N[(2.0 + N[(N[(y * 0.5 + t$95$3), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 + 2.0), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + z}\\
t_4 := \left(t\_3 - \sqrt{z}\right) + \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
t_5 := t\_1 - \sqrt{x}\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_2\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00003:\\
\;\;\;\;\frac{0.5}{\sqrt{z}} + \left(t\_2 + \left(t\_5 - \sqrt{y}\right)\right)\\
\mathbf{elif}\;t\_4 \leq 2.99999995:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_3\right) - \left(\sqrt{z} + \left(\sqrt{x} + \sqrt{y}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{\sqrt{t} + \sqrt{1 + t}} + \left(\left(t\_5 + 2\right) - \sqrt{z}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 84.3%
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.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites17.8%
Taylor expanded in y around inf
Applied rewrites18.0%
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))) < 2.0000300000000002Initial 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.f6420.8
Applied rewrites20.8%
Taylor expanded in z around inf
Applied rewrites26.8%
Applied rewrites26.1%
if 2.0000300000000002 < (+.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))) < 2.99999994999999986Initial program 90.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6468.3
Applied rewrites68.3%
Taylor expanded in x around 0
Applied rewrites57.2%
Taylor expanded in y around 0
Applied rewrites51.2%
if 2.99999994999999986 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.9%
Taylor expanded in z around 0
associate--r+N/A
lower--.f64N/A
associate-+r+N/A
associate--l+N/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-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6499.9
Applied rewrites99.9%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
pow1/2N/A
pow1/2N/A
rem-square-sqrtN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
associate--l+N/A
+-inversesN/A
metadata-evalN/A
Applied rewrites99.9%
Taylor expanded in x around 0
Applied rewrites99.9%
Taylor expanded in z around inf
Applied rewrites98.9%
Final simplification31.3%
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 (+ 1.0 z)))
(t_4 (- t_3 (sqrt z)))
(t_5 (sqrt (+ 1.0 t)))
(t_6 (sqrt (+ x 1.0)))
(t_7 (+ t_4 (+ (- t_6 (sqrt x)) t_2))))
(if (<= t_7 0.0)
(+ (- t_5 (sqrt t)) (+ t_4 (fma 0.5 (sqrt (/ 1.0 x)) t_2)))
(if (<= t_7 2.1)
(-
(+ (+ (/ 1.0 (+ (sqrt y) t_1)) t_6) (/ 1.0 (+ (sqrt z) t_3)))
(sqrt x))
(-
(+ (+ 1.0 t_1) (+ t_3 (/ 1.0 (+ (sqrt t) t_5))))
(+ (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 + y));
double t_2 = t_1 - sqrt(y);
double t_3 = sqrt((1.0 + z));
double t_4 = t_3 - sqrt(z);
double t_5 = sqrt((1.0 + t));
double t_6 = sqrt((x + 1.0));
double t_7 = t_4 + ((t_6 - sqrt(x)) + t_2);
double tmp;
if (t_7 <= 0.0) {
tmp = (t_5 - sqrt(t)) + (t_4 + fma(0.5, sqrt((1.0 / x)), t_2));
} else if (t_7 <= 2.1) {
tmp = (((1.0 / (sqrt(y) + t_1)) + t_6) + (1.0 / (sqrt(z) + t_3))) - sqrt(x);
} else {
tmp = ((1.0 + t_1) + (t_3 + (1.0 / (sqrt(t) + t_5)))) - (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 + y)) t_2 = Float64(t_1 - sqrt(y)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(t_3 - sqrt(z)) t_5 = sqrt(Float64(1.0 + t)) t_6 = sqrt(Float64(x + 1.0)) t_7 = Float64(t_4 + Float64(Float64(t_6 - sqrt(x)) + t_2)) tmp = 0.0 if (t_7 <= 0.0) tmp = Float64(Float64(t_5 - sqrt(t)) + Float64(t_4 + fma(0.5, sqrt(Float64(1.0 / x)), t_2))); elseif (t_7 <= 2.1) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + t_6) + Float64(1.0 / Float64(sqrt(z) + t_3))) - sqrt(x)); else tmp = Float64(Float64(Float64(1.0 + t_1) + Float64(t_3 + Float64(1.0 / Float64(sqrt(t) + t_5)))) - 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 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(t$95$4 + N[(N[(t$95$6 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 0.0], N[(N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 + N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 2.1], N[(N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(t$95$3 + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := t\_1 - \sqrt{y}\\
t_3 := \sqrt{1 + z}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \sqrt{1 + t}\\
t_6 := \sqrt{x + 1}\\
t_7 := t\_4 + \left(\left(t\_6 - \sqrt{x}\right) + t\_2\right)\\
\mathbf{if}\;t\_7 \leq 0:\\
\;\;\;\;\left(t\_5 - \sqrt{t}\right) + \left(t\_4 + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{x}}, t\_2\right)\right)\\
\mathbf{elif}\;t\_7 \leq 2.1:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{y} + t\_1} + t\_6\right) + \frac{1}{\sqrt{z} + t\_3}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(1 + t\_1\right) + \left(t\_3 + \frac{1}{\sqrt{t} + t\_5}\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 51.1%
Taylor expanded in x 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.f6462.0
Applied rewrites62.0%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.10000000000000009Initial program 96.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.2
Applied rewrites97.2%
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
lift-+.f64N/A
lower-+.f6497.9
lift-+.f64N/A
+-commutativeN/A
lift-+.f6497.9
Applied rewrites97.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites37.1%
if 2.10000000000000009 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.1%
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-+.f6499.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites98.3%
Final simplification47.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ t_2 (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 1.0001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_3) (sqrt x))
(if (<= t_4 2.00003)
(+ (/ 0.5 (sqrt z)) (+ t_3 (- (- t_1 (sqrt x)) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_2 (+ (- 1.0 (sqrt x)) (- (fma y 0.5 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 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_3) - sqrt(x);
} else if (t_4 <= 2.00003) {
tmp = (0.5 / sqrt(z)) + (t_3 + ((t_1 - sqrt(x)) - sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + ((1.0 - sqrt(x)) + (fma(y, 0.5, 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 + y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_3) - sqrt(x)); elseif (t_4 <= 2.00003) tmp = Float64(Float64(0.5 / sqrt(z)) + Float64(t_3 + Float64(Float64(t_1 - sqrt(x)) - sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_2 + Float64(Float64(1.0 - sqrt(x)) + Float64(fma(y, 0.5, 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 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00003], N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $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$2 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(y * 0.5 + 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 + y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00003:\\
\;\;\;\;\frac{0.5}{\sqrt{z}} + \left(t\_3 + \left(\left(t\_1 - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_2 + \left(\left(1 - \sqrt{x}\right) + \left(\mathsf{fma}\left(y, 0.5, 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))) < 1.00009999999999999Initial program 84.3%
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.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites17.8%
Taylor expanded in y around inf
Applied rewrites18.0%
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))) < 2.0000300000000002Initial 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.f6420.8
Applied rewrites20.8%
Taylor expanded in z around inf
Applied rewrites26.8%
Applied rewrites26.1%
if 2.0000300000000002 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6492.7
Applied rewrites92.7%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6491.6
Applied rewrites91.6%
Final simplification31.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ t_2 (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 1.0001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_3) (sqrt x))
(if (<= t_4 2.00003)
(+ (/ 0.5 (sqrt z)) (+ t_3 (- (- t_1 (sqrt x)) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_2 (+ (- 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 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_3) - sqrt(x);
} else if (t_4 <= 2.00003) {
tmp = (0.5 / sqrt(z)) + (t_3 + ((t_1 - sqrt(x)) - sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + ((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 + y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_3) - sqrt(x)); elseif (t_4 <= 2.00003) tmp = Float64(Float64(0.5 / sqrt(z)) + Float64(t_3 + Float64(Float64(t_1 - sqrt(x)) - sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_2 + 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 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00003], N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $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$2 + 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 + y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00003:\\
\;\;\;\;\frac{0.5}{\sqrt{z}} + \left(t\_3 + \left(\left(t\_1 - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_2 + \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))) < 1.00009999999999999Initial program 84.3%
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.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites17.8%
Taylor expanded in y around inf
Applied rewrites18.0%
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))) < 2.0000300000000002Initial 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.f6420.8
Applied rewrites20.8%
Taylor expanded in z around inf
Applied rewrites26.8%
Applied rewrites26.1%
if 2.0000300000000002 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6492.7
Applied rewrites92.7%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6490.5
Applied rewrites90.5%
Final simplification31.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 1.0001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))) t_3) (sqrt x))
(if (<= t_4 2.00003)
(+ (/ 0.5 (sqrt z)) (+ t_3 (- (- t_1 (sqrt x)) (sqrt y))))
(+ 2.0 (- (fma y 0.5 t_2) (+ (sqrt z) (+ (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 t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + sqrt((1.0 / z))), t_3) - sqrt(x);
} else if (t_4 <= 2.00003) {
tmp = (0.5 / sqrt(z)) + (t_3 + ((t_1 - sqrt(x)) - sqrt(y)));
} else {
tmp = 2.0 + (fma(y, 0.5, t_2) - (sqrt(z) + (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)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))), t_3) - sqrt(x)); elseif (t_4 <= 2.00003) tmp = Float64(Float64(0.5 / sqrt(z)) + Float64(t_3 + Float64(Float64(t_1 - sqrt(x)) - sqrt(y)))); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_2) - Float64(sqrt(z) + 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]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00003], N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[(N[Sqrt[x], $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 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}, t\_3\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00003:\\
\;\;\;\;\frac{0.5}{\sqrt{z}} + \left(t\_3 + \left(\left(t\_1 - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_2\right) - \left(\sqrt{z} + \left(\sqrt{x} + \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))) < 1.00009999999999999Initial program 84.3%
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.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites17.8%
Taylor expanded in y around inf
Applied rewrites18.0%
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))) < 2.0000300000000002Initial 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.f6420.8
Applied rewrites20.8%
Taylor expanded in z around inf
Applied rewrites26.8%
Applied rewrites26.1%
if 2.0000300000000002 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.6
Applied rewrites62.6%
Taylor expanded in x around 0
Applied rewrites60.7%
Taylor expanded in y around 0
Applied rewrites59.7%
Final simplification27.0%
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 y)))
(t_2 (+ (sqrt x) (sqrt y)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (- t_3 (sqrt z)) (+ (- t_4 (sqrt x)) (- t_1 (sqrt y)))))
(t_6 (sqrt (/ 1.0 z))))
(if (<= t_5 1.0001)
(- (fma 0.5 (+ (sqrt (/ 1.0 y)) t_6) t_4) (sqrt x))
(if (<= t_5 2.00003)
(+ 1.0 (- (fma 0.5 t_6 t_1) t_2))
(+ 2.0 (- (fma y 0.5 t_3) (+ (sqrt z) t_2)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt(x) + sqrt(y);
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((x + 1.0));
double t_5 = (t_3 - sqrt(z)) + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
double t_6 = sqrt((1.0 / z));
double tmp;
if (t_5 <= 1.0001) {
tmp = fma(0.5, (sqrt((1.0 / y)) + t_6), t_4) - sqrt(x);
} else if (t_5 <= 2.00003) {
tmp = 1.0 + (fma(0.5, t_6, t_1) - t_2);
} else {
tmp = 2.0 + (fma(y, 0.5, t_3) - (sqrt(z) + t_2));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(x) + sqrt(y)) t_3 = sqrt(Float64(1.0 + z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y)))) t_6 = sqrt(Float64(1.0 / z)) tmp = 0.0 if (t_5 <= 1.0001) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / y)) + t_6), t_4) - sqrt(x)); elseif (t_5 <= 2.00003) tmp = Float64(1.0 + Float64(fma(0.5, t_6, t_1) - t_2)); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_3) - Float64(sqrt(z) + t_2))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$5, 1.0001], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$6), $MachinePrecision] + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00003], N[(1.0 + N[(N[(0.5 * t$95$6 + t$95$1), $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$3), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $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} + \sqrt{y}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(t\_3 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
t_6 := \sqrt{\frac{1}{z}}\\
\mathbf{if}\;t\_5 \leq 1.0001:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}} + t\_6, t\_4\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.00003:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, t\_6, t\_1\right) - t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_3\right) - \left(\sqrt{z} + t\_2\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 84.3%
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.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites17.8%
Taylor expanded in y around inf
Applied rewrites18.0%
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))) < 2.0000300000000002Initial 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.f6420.8
Applied rewrites20.8%
Taylor expanded in z around inf
Applied rewrites26.8%
Taylor expanded in x around 0
Applied rewrites26.4%
if 2.0000300000000002 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.6
Applied rewrites62.6%
Taylor expanded in x around 0
Applied rewrites60.7%
Taylor expanded in y around 0
Applied rewrites59.7%
Final simplification27.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))) (t_2 (sqrt (+ 1.0 z))) (t_3 (sqrt (+ x 1.0))))
(if (<= (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt x)) (- t_1 (sqrt y)))) 2.1)
(- (+ (+ (/ 1.0 (+ (sqrt y) t_1)) t_3) (/ 1.0 (+ (sqrt z) t_2))) (sqrt x))
(-
(+ (+ 1.0 t_1) (+ t_2 (/ 1.0 (+ (sqrt t) (sqrt (+ 1.0 t))))))
(+ (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 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double tmp;
if (((t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))) <= 2.1) {
tmp = (((1.0 / (sqrt(y) + t_1)) + t_3) + (1.0 / (sqrt(z) + t_2))) - sqrt(x);
} else {
tmp = ((1.0 + t_1) + (t_2 + (1.0 / (sqrt(t) + sqrt((1.0 + t)))))) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((x + 1.0d0))
if (((t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))) <= 2.1d0) then
tmp = (((1.0d0 / (sqrt(y) + t_1)) + t_3) + (1.0d0 / (sqrt(z) + t_2))) - sqrt(x)
else
tmp = ((1.0d0 + t_1) + (t_2 + (1.0d0 / (sqrt(t) + sqrt((1.0d0 + t)))))) - (sqrt(x) + (sqrt(y) + sqrt(z)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((x + 1.0));
double tmp;
if (((t_2 - Math.sqrt(z)) + ((t_3 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)))) <= 2.1) {
tmp = (((1.0 / (Math.sqrt(y) + t_1)) + t_3) + (1.0 / (Math.sqrt(z) + t_2))) - Math.sqrt(x);
} else {
tmp = ((1.0 + t_1) + (t_2 + (1.0 / (Math.sqrt(t) + Math.sqrt((1.0 + t)))))) - (Math.sqrt(x) + (Math.sqrt(y) + Math.sqrt(z)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((x + 1.0)) tmp = 0 if ((t_2 - math.sqrt(z)) + ((t_3 - math.sqrt(x)) + (t_1 - math.sqrt(y)))) <= 2.1: tmp = (((1.0 / (math.sqrt(y) + t_1)) + t_3) + (1.0 / (math.sqrt(z) + t_2))) - math.sqrt(x) else: tmp = ((1.0 + t_1) + (t_2 + (1.0 / (math.sqrt(t) + math.sqrt((1.0 + t)))))) - (math.sqrt(x) + (math.sqrt(y) + math.sqrt(z))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) <= 2.1) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + t_3) + Float64(1.0 / Float64(sqrt(z) + t_2))) - sqrt(x)); else tmp = Float64(Float64(Float64(1.0 + t_1) + Float64(t_2 + Float64(1.0 / Float64(sqrt(t) + sqrt(Float64(1.0 + t)))))) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((x + 1.0));
tmp = 0.0;
if (((t_2 - sqrt(z)) + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))) <= 2.1)
tmp = (((1.0 / (sqrt(y) + t_1)) + t_3) + (1.0 / (sqrt(z) + t_2))) - sqrt(x);
else
tmp = ((1.0 + t_1) + (t_2 + (1.0 / (sqrt(t) + sqrt((1.0 + t)))))) - (sqrt(x) + (sqrt(y) + sqrt(z)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.1], N[(N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(t$95$2 + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
\mathbf{if}\;\left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) \leq 2.1:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{y} + t\_1} + t\_3\right) + \frac{1}{\sqrt{z} + t\_2}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(1 + t\_1\right) + \left(t\_2 + \frac{1}{\sqrt{t} + \sqrt{1 + t}}\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.10000000000000009Initial program 90.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6491.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6491.2
Applied rewrites91.2%
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
lift-+.f64N/A
lower-+.f6491.8
lift-+.f64N/A
+-commutativeN/A
lift-+.f6491.8
Applied rewrites91.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites32.7%
if 2.10000000000000009 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.1%
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-+.f6499.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites98.3%
Final simplification41.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt y) (sqrt (+ 1.0 y))))
(t_2 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_2 0.0)
(+ (+ (fma 0.5 (sqrt (/ 1.0 x)) (/ 1.0 t_1)) (- t_3 (sqrt z))) t_4)
(+
t_4
(+
(+ t_2 (/ (- (+ 1.0 y) y) t_1))
(/ (- (+ 1.0 z) z) (+ (sqrt z) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0)) - sqrt(x);
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_2 <= 0.0) {
tmp = (fma(0.5, sqrt((1.0 / x)), (1.0 / t_1)) + (t_3 - sqrt(z))) + t_4;
} else {
tmp = t_4 + ((t_2 + (((1.0 + y) - y) / t_1)) + (((1.0 + z) - z) / (sqrt(z) + t_3)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(Float64(1.0 + y))) t_2 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_2 <= 0.0) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / x)), Float64(1.0 / t_1)) + Float64(t_3 - sqrt(z))) + t_4); else tmp = Float64(t_4 + Float64(Float64(t_2 + Float64(Float64(Float64(1.0 + y) - y) / t_1)) + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + 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[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.0], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(1.0 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(t$95$4 + N[(N[(t$95$2 + N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y} + \sqrt{1 + y}\\
t_2 := \sqrt{x + 1} - \sqrt{x}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_2 \leq 0:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{x}}, \frac{1}{t\_1}\right) + \left(t\_3 - \sqrt{z}\right)\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(\left(t\_2 + \frac{\left(1 + y\right) - y}{t\_1}\right) + \frac{\left(1 + z\right) - z}{\sqrt{z} + t\_3}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.0Initial program 84.1%
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-+.f6484.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6484.9
Applied rewrites84.9%
Taylor expanded in x around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6492.9
Applied rewrites92.9%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.7
Applied rewrites97.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6498.0
lift-+.f64N/A
+-commutativeN/A
lift-+.f6498.0
Applied rewrites98.0%
Final simplification95.8%
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 (+ 1.0 z)))
(t_3 (+ (sqrt x) (sqrt y))))
(if (<=
(+ (- t_2 (sqrt z)) (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- t_1 (sqrt y))))
2.00003)
(+ 1.0 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) t_3))
(+ 2.0 (- (fma y 0.5 t_2) (+ (sqrt z) t_3))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt(x) + sqrt(y);
double tmp;
if (((t_2 - sqrt(z)) + ((sqrt((x + 1.0)) - sqrt(x)) + (t_1 - sqrt(y)))) <= 2.00003) {
tmp = 1.0 + (fma(0.5, sqrt((1.0 / z)), t_1) - t_3);
} else {
tmp = 2.0 + (fma(y, 0.5, t_2) - (sqrt(z) + t_3));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(x) + sqrt(y)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(t_1 - sqrt(y)))) <= 2.00003) tmp = Float64(1.0 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - t_3)); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_2) - Float64(sqrt(z) + t_3))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.00003], N[(1.0 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[z], $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 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x} + \sqrt{y}\\
\mathbf{if}\;\left(t\_2 - \sqrt{z}\right) + \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) \leq 2.00003:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_2\right) - \left(\sqrt{z} + t\_3\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))) < 2.0000300000000002Initial program 90.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Taylor expanded in z around inf
Applied rewrites22.1%
Taylor expanded in x around 0
Applied rewrites25.4%
if 2.0000300000000002 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.6
Applied rewrites62.6%
Taylor expanded in x around 0
Applied rewrites60.7%
Taylor expanded in y around 0
Applied rewrites59.7%
Final simplification30.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z))) (t_2 (- t_1 (sqrt z))) (t_3 (sqrt (+ x 1.0))))
(if (<= t_2 0.02)
(-
(+
(+ (/ 1.0 (+ (sqrt y) (sqrt (+ 1.0 y)))) t_3)
(/ 1.0 (+ (sqrt z) t_1)))
(sqrt x))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_2 (+ (- t_3 (sqrt x)) (fma y 0.5 (- 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((x + 1.0));
double tmp;
if (t_2 <= 0.02) {
tmp = (((1.0 / (sqrt(y) + sqrt((1.0 + y)))) + t_3) + (1.0 / (sqrt(z) + t_1))) - sqrt(x);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + ((t_3 - sqrt(x)) + fma(y, 0.5, (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(x + 1.0)) tmp = 0.0 if (t_2 <= 0.02) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y)))) + t_3) + Float64(1.0 / Float64(sqrt(z) + t_1))) - sqrt(x)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + fma(y, 0.5, 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 0.02], N[(N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(y * 0.5 + N[(1.0 - N[Sqrt[y], $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 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
\mathbf{if}\;t\_2 \leq 0.02:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{y} + \sqrt{1 + y}} + t\_3\right) + \frac{1}{\sqrt{z} + t\_1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + \mathsf{fma}\left(y, 0.5, 1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0200000000000000004Initial program 85.9%
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
lower-+.f64N/A
lower-+.f6486.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6486.7
Applied rewrites86.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6487.8
lift-+.f64N/A
+-commutativeN/A
lift-+.f6487.8
Applied rewrites87.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites32.3%
if 0.0200000000000000004 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.9%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6449.9
Applied rewrites49.9%
Final simplification40.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z))) (t_2 (- t_1 (sqrt z))))
(if (<= t_2 0.02)
(-
(+
(+ (/ 1.0 (+ (sqrt y) (sqrt (+ 1.0 y)))) (sqrt (+ x 1.0)))
(/ 1.0 (+ (sqrt z) t_1)))
(sqrt x))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_2 (+ (- 1.0 (sqrt x)) (- (fma y 0.5 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 tmp;
if (t_2 <= 0.02) {
tmp = (((1.0 / (sqrt(y) + sqrt((1.0 + y)))) + sqrt((x + 1.0))) + (1.0 / (sqrt(z) + t_1))) - sqrt(x);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + ((1.0 - sqrt(x)) + (fma(y, 0.5, 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)) tmp = 0.0 if (t_2 <= 0.02) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y)))) + sqrt(Float64(x + 1.0))) + Float64(1.0 / Float64(sqrt(z) + t_1))) - sqrt(x)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_2 + Float64(Float64(1.0 - sqrt(x)) + Float64(fma(y, 0.5, 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]}, If[LessEqual[t$95$2, 0.02], N[(N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(y * 0.5 + 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}\\
t_2 := t\_1 - \sqrt{z}\\
\mathbf{if}\;t\_2 \leq 0.02:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{y} + \sqrt{1 + y}} + \sqrt{x + 1}\right) + \frac{1}{\sqrt{z} + t\_1}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_2 + \left(\left(1 - \sqrt{x}\right) + \left(\mathsf{fma}\left(y, 0.5, 1\right) - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0200000000000000004Initial program 85.9%
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
lower-+.f64N/A
lower-+.f6486.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6486.7
Applied rewrites86.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6487.8
lift-+.f64N/A
+-commutativeN/A
lift-+.f6487.8
Applied rewrites87.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites32.3%
if 0.0200000000000000004 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6457.4
Applied rewrites57.4%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6428.1
Applied rewrites28.1%
Final simplification30.2%
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 t)) (sqrt t))))
(if (<= z 2e+19)
(+
t_1
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ (- 1.0 (sqrt x)) (- (fma y 0.5 1.0) (sqrt y)))))
(+
t_1
(-
(+ (/ 1.0 (+ (sqrt y) (sqrt (+ 1.0 y)))) (sqrt (+ x 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 + t)) - sqrt(t);
double tmp;
if (z <= 2e+19) {
tmp = t_1 + ((sqrt((1.0 + z)) - sqrt(z)) + ((1.0 - sqrt(x)) + (fma(y, 0.5, 1.0) - sqrt(y))));
} else {
tmp = t_1 + (((1.0 / (sqrt(y) + sqrt((1.0 + y)))) + sqrt((x + 1.0))) - sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (z <= 2e+19) tmp = Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(1.0 - sqrt(x)) + Float64(fma(y, 0.5, 1.0) - sqrt(y))))); else tmp = Float64(t_1 + Float64(Float64(Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y)))) + sqrt(Float64(x + 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[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 2e+19], N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(y * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;z \leq 2 \cdot 10^{+19}:\\
\;\;\;\;t\_1 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(1 - \sqrt{x}\right) + \left(\mathsf{fma}\left(y, 0.5, 1\right) - \sqrt{y}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\left(\frac{1}{\sqrt{y} + \sqrt{1 + y}} + \sqrt{x + 1}\right) - \sqrt{x}\right)\\
\end{array}
\end{array}
if z < 2e19Initial program 96.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6455.6
Applied rewrites55.6%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6427.8
Applied rewrites27.8%
if 2e19 < z Initial program 86.5%
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-+.f6487.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6487.4
Applied rewrites87.4%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6469.2
Applied rewrites69.2%
Final simplification47.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt x) (sqrt y))) (t_2 (sqrt (+ 1.0 z))))
(if (<= (- t_2 (sqrt z)) 0.0)
(+ (sqrt (+ x 1.0)) (- (sqrt (+ 1.0 y)) t_1))
(+ 2.0 (- (fma y 0.5 t_2) (+ (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(x) + sqrt(y);
double t_2 = sqrt((1.0 + z));
double tmp;
if ((t_2 - sqrt(z)) <= 0.0) {
tmp = sqrt((x + 1.0)) + (sqrt((1.0 + y)) - t_1);
} else {
tmp = 2.0 + (fma(y, 0.5, t_2) - (sqrt(z) + t_1));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(x) + sqrt(y)) t_2 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 0.0) tmp = Float64(sqrt(Float64(x + 1.0)) + Float64(sqrt(Float64(1.0 + y)) - t_1)); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_2) - 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[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$2), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x} + \sqrt{y}\\
t_2 := \sqrt{1 + z}\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 0:\\
\;\;\;\;\sqrt{x + 1} + \left(\sqrt{1 + y} - t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_2\right) - \left(\sqrt{z} + t\_1\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 86.1%
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.f645.9
Applied rewrites5.9%
Taylor expanded in z around inf
Applied rewrites32.3%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.1
Applied rewrites32.1%
Taylor expanded in x around 0
Applied rewrites27.0%
Taylor expanded in y around 0
Applied rewrites19.2%
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 x) (sqrt y))) (t_2 (sqrt (+ 1.0 z))))
(if (<= (- t_2 (sqrt z)) 0.0)
(+ (sqrt (+ x 1.0)) (- (sqrt (+ 1.0 y)) t_1))
(- (+ t_2 2.0) (+ (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(x) + sqrt(y);
double t_2 = sqrt((1.0 + z));
double tmp;
if ((t_2 - sqrt(z)) <= 0.0) {
tmp = sqrt((x + 1.0)) + (sqrt((1.0 + y)) - t_1);
} else {
tmp = (t_2 + 2.0) - (sqrt(z) + t_1);
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt(x) + sqrt(y)
t_2 = sqrt((1.0d0 + z))
if ((t_2 - sqrt(z)) <= 0.0d0) then
tmp = sqrt((x + 1.0d0)) + (sqrt((1.0d0 + y)) - t_1)
else
tmp = (t_2 + 2.0d0) - (sqrt(z) + t_1)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt(x) + Math.sqrt(y);
double t_2 = Math.sqrt((1.0 + z));
double tmp;
if ((t_2 - Math.sqrt(z)) <= 0.0) {
tmp = Math.sqrt((x + 1.0)) + (Math.sqrt((1.0 + y)) - t_1);
} else {
tmp = (t_2 + 2.0) - (Math.sqrt(z) + t_1);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt(x) + math.sqrt(y) t_2 = math.sqrt((1.0 + z)) tmp = 0 if (t_2 - math.sqrt(z)) <= 0.0: tmp = math.sqrt((x + 1.0)) + (math.sqrt((1.0 + y)) - t_1) else: tmp = (t_2 + 2.0) - (math.sqrt(z) + t_1) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(x) + sqrt(y)) t_2 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 0.0) tmp = Float64(sqrt(Float64(x + 1.0)) + Float64(sqrt(Float64(1.0 + y)) - t_1)); else tmp = Float64(Float64(t_2 + 2.0) - Float64(sqrt(z) + t_1)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt(x) + sqrt(y);
t_2 = sqrt((1.0 + z));
tmp = 0.0;
if ((t_2 - sqrt(z)) <= 0.0)
tmp = sqrt((x + 1.0)) + (sqrt((1.0 + y)) - t_1);
else
tmp = (t_2 + 2.0) - (sqrt(z) + t_1);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + 2.0), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x} + \sqrt{y}\\
t_2 := \sqrt{1 + z}\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 0:\\
\;\;\;\;\sqrt{x + 1} + \left(\sqrt{1 + y} - t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + 2\right) - \left(\sqrt{z} + t\_1\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 86.1%
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.f645.9
Applied rewrites5.9%
Taylor expanded in z around inf
Applied rewrites32.3%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.1
Applied rewrites32.1%
Taylor expanded in x around 0
Applied rewrites27.0%
Taylor expanded in y around 0
Applied rewrites17.2%
Final simplification24.6%
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))))
(if (<= (- t_1 (sqrt z)) 0.0)
(+ 1.0 (- (- (sqrt (+ 1.0 y)) (sqrt x)) (sqrt y)))
(- (+ t_1 2.0) (+ (sqrt z) (+ (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 + z));
double tmp;
if ((t_1 - sqrt(z)) <= 0.0) {
tmp = 1.0 + ((sqrt((1.0 + y)) - sqrt(x)) - sqrt(y));
} else {
tmp = (t_1 + 2.0) - (sqrt(z) + (sqrt(x) + sqrt(y)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
if ((t_1 - sqrt(z)) <= 0.0d0) then
tmp = 1.0d0 + ((sqrt((1.0d0 + y)) - sqrt(x)) - sqrt(y))
else
tmp = (t_1 + 2.0d0) - (sqrt(z) + (sqrt(x) + sqrt(y)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double tmp;
if ((t_1 - Math.sqrt(z)) <= 0.0) {
tmp = 1.0 + ((Math.sqrt((1.0 + y)) - Math.sqrt(x)) - Math.sqrt(y));
} else {
tmp = (t_1 + 2.0) - (Math.sqrt(z) + (Math.sqrt(x) + Math.sqrt(y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) tmp = 0 if (t_1 - math.sqrt(z)) <= 0.0: tmp = 1.0 + ((math.sqrt((1.0 + y)) - math.sqrt(x)) - math.sqrt(y)) else: tmp = (t_1 + 2.0) - (math.sqrt(z) + (math.sqrt(x) + math.sqrt(y))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (Float64(t_1 - sqrt(z)) <= 0.0) tmp = Float64(1.0 + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(x)) - sqrt(y))); else tmp = Float64(Float64(t_1 + 2.0) - Float64(sqrt(z) + Float64(sqrt(x) + sqrt(y)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
tmp = 0.0;
if ((t_1 - sqrt(z)) <= 0.0)
tmp = 1.0 + ((sqrt((1.0 + y)) - sqrt(x)) - sqrt(y));
else
tmp = (t_1 + 2.0) - (sqrt(z) + (sqrt(x) + sqrt(y)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0], N[(1.0 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 2.0), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
\mathbf{if}\;t\_1 - \sqrt{z} \leq 0:\\
\;\;\;\;1 + \left(\left(\sqrt{1 + y} - \sqrt{x}\right) - \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 2\right) - \left(\sqrt{z} + \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 86.1%
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.f645.9
Applied rewrites5.9%
Taylor expanded in x around 0
Applied rewrites31.5%
Taylor expanded in z around inf
Applied rewrites36.4%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6432.1
Applied rewrites32.1%
Taylor expanded in x around 0
Applied rewrites27.0%
Taylor expanded in y around 0
Applied rewrites17.2%
Final simplification26.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (- (sqrt (+ 1.0 y)) (sqrt x)) (sqrt y))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + ((sqrt((1.0 + y)) - sqrt(x)) - 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 = 1.0d0 + ((sqrt((1.0d0 + y)) - sqrt(x)) - sqrt(y))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + ((Math.sqrt((1.0 + y)) - Math.sqrt(x)) - Math.sqrt(y));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + ((math.sqrt((1.0 + y)) - math.sqrt(x)) - math.sqrt(y))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(x)) - sqrt(y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + ((sqrt((1.0 + y)) - sqrt(x)) - 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[(1.0 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(\left(\sqrt{1 + y} - \sqrt{x}\right) - \sqrt{y}\right)
\end{array}
Initial program 91.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.3
Applied rewrites19.3%
Taylor expanded in x around 0
Applied rewrites29.2%
Taylor expanded in z around inf
Applied rewrites25.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (sqrt (+ 1.0 z)) (+ (sqrt x) (sqrt z)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + (sqrt((1.0 + z)) - (sqrt(x) + sqrt(z)));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 + (sqrt((1.0d0 + z)) - (sqrt(x) + sqrt(z)))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + (Math.sqrt((1.0 + z)) - (Math.sqrt(x) + Math.sqrt(z)));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + (math.sqrt((1.0 + z)) - (math.sqrt(x) + math.sqrt(z)))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(sqrt(Float64(1.0 + z)) - Float64(sqrt(x) + sqrt(z)))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + (sqrt((1.0 + z)) - (sqrt(x) + sqrt(z)));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(\sqrt{1 + z} - \left(\sqrt{x} + \sqrt{z}\right)\right)
\end{array}
Initial program 91.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.3
Applied rewrites19.3%
Taylor expanded in x around 0
Applied rewrites29.2%
Taylor expanded in y around inf
Applied rewrites26.2%
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)) + Float64(-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} + \left(-\sqrt{x}\right)
\end{array}
Initial program 91.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.3
Applied rewrites19.3%
Taylor expanded in z around inf
Applied rewrites20.0%
Taylor expanded in x around inf
Applied rewrites15.9%
Final simplification15.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + -sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 + -sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + -Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + -math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(-sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + -sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(-\sqrt{x}\right)
\end{array}
Initial program 91.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.3
Applied rewrites19.3%
Taylor expanded in x around 0
Applied rewrites29.2%
Taylor expanded in x around inf
Applied rewrites14.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(-sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := (-N[Sqrt[x], $MachinePrecision])
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
-\sqrt{x}
\end{array}
Initial program 91.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.3
Applied rewrites19.3%
Taylor expanded in x around 0
Applied rewrites29.2%
Taylor expanded in x around inf
Applied rewrites1.6%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024216
(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))))