
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (sqrt x) t_3))
(t_5 (sqrt (+ t 1.0)))
(t_6 (+ (sqrt y) t_1))
(t_7 (* t_4 t_6)))
(if (<= (- t_2 (sqrt z)) 0.0001)
(+
(- t_5 (sqrt t))
(fma
0.5
(sqrt (/ 1.0 z))
(+
(/ (sqrt x) t_7)
(fma (/ (/ 1.0 t_4) t_6) (+ t_1 t_3) (/ (sqrt y) t_7)))))
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_5)) t_2) t_1)
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))
1.0))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt(x) + t_3;
double t_5 = sqrt((t + 1.0));
double t_6 = sqrt(y) + t_1;
double t_7 = t_4 * t_6;
double tmp;
if ((t_2 - sqrt(z)) <= 0.0001) {
tmp = (t_5 - sqrt(t)) + fma(0.5, sqrt((1.0 / z)), ((sqrt(x) / t_7) + fma(((1.0 / t_4) / t_6), (t_1 + t_3), (sqrt(y) / t_7))));
} else {
tmp = ((((1.0 / (sqrt(t) + t_5)) + t_2) + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(sqrt(x) + t_3) t_5 = sqrt(Float64(t + 1.0)) t_6 = Float64(sqrt(y) + t_1) t_7 = Float64(t_4 * t_6) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 0.0001) tmp = Float64(Float64(t_5 - sqrt(t)) + fma(0.5, sqrt(Float64(1.0 / z)), Float64(Float64(sqrt(x) / t_7) + fma(Float64(Float64(1.0 / t_4) / t_6), Float64(t_1 + t_3), Float64(sqrt(y) / t_7))))); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_5)) + t_2) + t_1) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $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[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$4 * t$95$6), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0001], N[(N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(N[(N[Sqrt[x], $MachinePrecision] / t$95$7), $MachinePrecision] + N[(N[(N[(1.0 / t$95$4), $MachinePrecision] / t$95$6), $MachinePrecision] * N[(t$95$1 + t$95$3), $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] / t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{x} + t\_3\\
t_5 := \sqrt{t + 1}\\
t_6 := \sqrt{y} + t\_1\\
t_7 := t\_4 \cdot t\_6\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 0.0001:\\
\;\;\;\;\left(t\_5 - \sqrt{t}\right) + \mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, \frac{\sqrt{x}}{t\_7} + \mathsf{fma}\left(\frac{\frac{1}{t\_4}}{t\_6}, t\_1 + t\_3, \frac{\sqrt{y}}{t\_7}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_5} + t\_2\right) + t\_1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 1.00000000000000005e-4Initial program 87.4%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.2%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6473.9
Applied rewrites73.9%
Taylor expanded in z around inf
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
Applied rewrites94.5%
if 1.00000000000000005e-4 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.2
Applied rewrites97.2%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites35.4%
Final simplification65.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0)))
(t_2 (- t_1 (sqrt t)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (- t_5 (sqrt x)))
(t_7 (+ (+ (- t_4 (sqrt y)) t_6) (- t_3 (sqrt z)))))
(if (<= t_7 0.0)
(+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 z))) 0.5) t_2)
(if (<= t_7 1.0)
(+ (+ (/ 0.5 (sqrt z)) t_6) t_2)
(if (<= t_7 2.01)
(- (+ (+ (/ 1.0 (+ (sqrt z) t_3)) t_4) t_5) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (/ 1.0 (+ (sqrt t) t_1)) t_3)
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))
2.0))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = t_1 - sqrt(t);
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((y + 1.0));
double t_5 = sqrt((x + 1.0));
double t_6 = t_5 - sqrt(x);
double t_7 = ((t_4 - sqrt(y)) + t_6) + (t_3 - sqrt(z));
double tmp;
if (t_7 <= 0.0) {
tmp = ((sqrt((1.0 / x)) + sqrt((1.0 / z))) * 0.5) + t_2;
} else if (t_7 <= 1.0) {
tmp = ((0.5 / sqrt(z)) + t_6) + t_2;
} else if (t_7 <= 2.01) {
tmp = (((1.0 / (sqrt(z) + t_3)) + t_4) + t_5) - (sqrt(y) + sqrt(x));
} else {
tmp = (((1.0 / (sqrt(t) + t_1)) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((t + 1.0d0))
t_2 = t_1 - sqrt(t)
t_3 = sqrt((1.0d0 + z))
t_4 = sqrt((y + 1.0d0))
t_5 = sqrt((x + 1.0d0))
t_6 = t_5 - sqrt(x)
t_7 = ((t_4 - sqrt(y)) + t_6) + (t_3 - sqrt(z))
if (t_7 <= 0.0d0) then
tmp = ((sqrt((1.0d0 / x)) + sqrt((1.0d0 / z))) * 0.5d0) + t_2
else if (t_7 <= 1.0d0) then
tmp = ((0.5d0 / sqrt(z)) + t_6) + t_2
else if (t_7 <= 2.01d0) then
tmp = (((1.0d0 / (sqrt(z) + t_3)) + t_4) + t_5) - (sqrt(y) + sqrt(x))
else
tmp = (((1.0d0 / (sqrt(t) + t_1)) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0));
double t_2 = t_1 - Math.sqrt(t);
double t_3 = Math.sqrt((1.0 + z));
double t_4 = Math.sqrt((y + 1.0));
double t_5 = Math.sqrt((x + 1.0));
double t_6 = t_5 - Math.sqrt(x);
double t_7 = ((t_4 - Math.sqrt(y)) + t_6) + (t_3 - Math.sqrt(z));
double tmp;
if (t_7 <= 0.0) {
tmp = ((Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / z))) * 0.5) + t_2;
} else if (t_7 <= 1.0) {
tmp = ((0.5 / Math.sqrt(z)) + t_6) + t_2;
} else if (t_7 <= 2.01) {
tmp = (((1.0 / (Math.sqrt(z) + t_3)) + t_4) + t_5) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (((1.0 / (Math.sqrt(t) + t_1)) + t_3) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 2.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) t_2 = t_1 - math.sqrt(t) t_3 = math.sqrt((1.0 + z)) t_4 = math.sqrt((y + 1.0)) t_5 = math.sqrt((x + 1.0)) t_6 = t_5 - math.sqrt(x) t_7 = ((t_4 - math.sqrt(y)) + t_6) + (t_3 - math.sqrt(z)) tmp = 0 if t_7 <= 0.0: tmp = ((math.sqrt((1.0 / x)) + math.sqrt((1.0 / z))) * 0.5) + t_2 elif t_7 <= 1.0: tmp = ((0.5 / math.sqrt(z)) + t_6) + t_2 elif t_7 <= 2.01: tmp = (((1.0 / (math.sqrt(z) + t_3)) + t_4) + t_5) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (((1.0 / (math.sqrt(t) + t_1)) + t_3) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) + 2.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = Float64(t_1 - sqrt(t)) t_3 = sqrt(Float64(1.0 + z)) t_4 = sqrt(Float64(y + 1.0)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(t_5 - sqrt(x)) t_7 = Float64(Float64(Float64(t_4 - sqrt(y)) + t_6) + Float64(t_3 - sqrt(z))) tmp = 0.0 if (t_7 <= 0.0) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / z))) * 0.5) + t_2); elseif (t_7 <= 1.0) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + t_6) + t_2); elseif (t_7 <= 2.01) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_3)) + t_4) + t_5) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_1)) + t_3) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0));
t_2 = t_1 - sqrt(t);
t_3 = sqrt((1.0 + z));
t_4 = sqrt((y + 1.0));
t_5 = sqrt((x + 1.0));
t_6 = t_5 - sqrt(x);
t_7 = ((t_4 - sqrt(y)) + t_6) + (t_3 - sqrt(z));
tmp = 0.0;
if (t_7 <= 0.0)
tmp = ((sqrt((1.0 / x)) + sqrt((1.0 / z))) * 0.5) + t_2;
elseif (t_7 <= 1.0)
tmp = ((0.5 / sqrt(z)) + t_6) + t_2;
elseif (t_7 <= 2.01)
tmp = (((1.0 / (sqrt(z) + t_3)) + t_4) + t_5) - (sqrt(y) + sqrt(x));
else
tmp = (((1.0 / (sqrt(t) + t_1)) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 0.0], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$7, 1.0], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$7, 2.01], N[(N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1}\\
t_2 := t\_1 - \sqrt{t}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{y + 1}\\
t_5 := \sqrt{x + 1}\\
t_6 := t\_5 - \sqrt{x}\\
t_7 := \left(\left(t\_4 - \sqrt{y}\right) + t\_6\right) + \left(t\_3 - \sqrt{z}\right)\\
\mathbf{if}\;t\_7 \leq 0:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{z}}\right) \cdot 0.5 + t\_2\\
\mathbf{elif}\;t\_7 \leq 1:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + t\_6\right) + t\_2\\
\mathbf{elif}\;t\_7 \leq 2.01:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{z} + t\_3} + t\_4\right) + t\_5\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{t} + t\_1} + t\_3\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 62.2%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.2
Applied rewrites62.2%
Taylor expanded in y around inf
Applied rewrites62.2%
Taylor expanded in x around inf
Applied rewrites74.8%
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))) < 1Initial program 96.1%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Taylor expanded in y around inf
Applied rewrites39.5%
Applied rewrites38.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0099999999999998Initial program 95.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6471.7
Applied rewrites71.7%
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
lower-+.f6472.5
Applied rewrites72.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.6%
if 2.0099999999999998 < (+.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 98.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites97.2%
Taylor expanded in y around 0
Applied rewrites89.0%
Final simplification45.3%
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 (+ t 1.0)))
(t_2 (- t_1 (sqrt t)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (- t_5 (sqrt x)))
(t_7 (+ (+ (- t_4 (sqrt y)) t_6) (- t_3 (sqrt z))))
(t_8 (sqrt (/ 1.0 z))))
(if (<= t_7 0.0)
(+ (* (+ (sqrt (/ 1.0 x)) t_8) 0.5) t_2)
(if (<= t_7 1.0)
(+ (+ (/ 0.5 (sqrt z)) t_6) t_2)
(if (<= t_7 2.0002)
(- (+ (fma t_8 0.5 t_4) t_5) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (/ 1.0 (+ (sqrt t) t_1)) t_3)
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))
2.0))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = t_1 - sqrt(t);
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((y + 1.0));
double t_5 = sqrt((x + 1.0));
double t_6 = t_5 - sqrt(x);
double t_7 = ((t_4 - sqrt(y)) + t_6) + (t_3 - sqrt(z));
double t_8 = sqrt((1.0 / z));
double tmp;
if (t_7 <= 0.0) {
tmp = ((sqrt((1.0 / x)) + t_8) * 0.5) + t_2;
} else if (t_7 <= 1.0) {
tmp = ((0.5 / sqrt(z)) + t_6) + t_2;
} else if (t_7 <= 2.0002) {
tmp = (fma(t_8, 0.5, t_4) + t_5) - (sqrt(y) + sqrt(x));
} else {
tmp = (((1.0 / (sqrt(t) + t_1)) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = Float64(t_1 - sqrt(t)) t_3 = sqrt(Float64(1.0 + z)) t_4 = sqrt(Float64(y + 1.0)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(t_5 - sqrt(x)) t_7 = Float64(Float64(Float64(t_4 - sqrt(y)) + t_6) + Float64(t_3 - sqrt(z))) t_8 = sqrt(Float64(1.0 / z)) tmp = 0.0 if (t_7 <= 0.0) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + t_8) * 0.5) + t_2); elseif (t_7 <= 1.0) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + t_6) + t_2); elseif (t_7 <= 2.0002) tmp = Float64(Float64(fma(t_8, 0.5, t_4) + t_5) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_1)) + t_3) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$8 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$7, 0.0], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$8), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$7, 1.0], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$7, 2.0002], N[(N[(N[(t$95$8 * 0.5 + t$95$4), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1}\\
t_2 := t\_1 - \sqrt{t}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{y + 1}\\
t_5 := \sqrt{x + 1}\\
t_6 := t\_5 - \sqrt{x}\\
t_7 := \left(\left(t\_4 - \sqrt{y}\right) + t\_6\right) + \left(t\_3 - \sqrt{z}\right)\\
t_8 := \sqrt{\frac{1}{z}}\\
\mathbf{if}\;t\_7 \leq 0:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} + t\_8\right) \cdot 0.5 + t\_2\\
\mathbf{elif}\;t\_7 \leq 1:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + t\_6\right) + t\_2\\
\mathbf{elif}\;t\_7 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_8, 0.5, t\_4\right) + t\_5\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{t} + t\_1} + t\_3\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 62.2%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.2
Applied rewrites62.2%
Taylor expanded in y around inf
Applied rewrites62.2%
Taylor expanded in x around inf
Applied rewrites74.8%
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))) < 1Initial program 96.1%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Taylor expanded in y around inf
Applied rewrites39.5%
Applied rewrites38.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 95.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f648.3
Applied rewrites8.3%
Taylor expanded in z around inf
Applied rewrites30.0%
if 2.00019999999999998 < (+.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 98.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites97.2%
Taylor expanded in y around 0
Applied rewrites89.0%
Final simplification44.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (- t_4 (sqrt x)))
(t_6 (+ (+ (- t_3 (sqrt y)) t_5) t_2))
(t_7 (sqrt (/ 1.0 z))))
(if (<= t_6 0.0)
(+ (* (+ (sqrt (/ 1.0 x)) t_7) 0.5) t_1)
(if (<= t_6 1.0)
(+ (+ (/ 0.5 (sqrt z)) t_5) t_1)
(if (<= t_6 2.0002)
(- (+ (fma t_7 0.5 t_3) t_4) (+ (sqrt y) (sqrt x)))
(+ (+ (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x))) t_2) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((x + 1.0));
double t_5 = t_4 - sqrt(x);
double t_6 = ((t_3 - sqrt(y)) + t_5) + t_2;
double t_7 = sqrt((1.0 / z));
double tmp;
if (t_6 <= 0.0) {
tmp = ((sqrt((1.0 / x)) + t_7) * 0.5) + t_1;
} else if (t_6 <= 1.0) {
tmp = ((0.5 / sqrt(z)) + t_5) + t_1;
} else if (t_6 <= 2.0002) {
tmp = (fma(t_7, 0.5, t_3) + t_4) - (sqrt(y) + sqrt(x));
} else {
tmp = (((1.0 - sqrt(y)) + (1.0 - sqrt(x))) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(t_4 - sqrt(x)) t_6 = Float64(Float64(Float64(t_3 - sqrt(y)) + t_5) + t_2) t_7 = sqrt(Float64(1.0 / z)) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + t_7) * 0.5) + t_1); elseif (t_6 <= 1.0) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + t_5) + t_1); elseif (t_6 <= 2.0002) tmp = Float64(Float64(fma(t_7, 0.5, t_3) + t_4) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$7), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(N[(N[(t$95$7 * 0.5 + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{x + 1}\\
t_5 := t\_4 - \sqrt{x}\\
t_6 := \left(\left(t\_3 - \sqrt{y}\right) + t\_5\right) + t\_2\\
t_7 := \sqrt{\frac{1}{z}}\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} + t\_7\right) \cdot 0.5 + t\_1\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + t\_5\right) + t\_1\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_7, 0.5, t\_3\right) + t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 62.2%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.2
Applied rewrites62.2%
Taylor expanded in y around inf
Applied rewrites62.2%
Taylor expanded in x around inf
Applied rewrites74.8%
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))) < 1Initial program 96.1%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Taylor expanded in y around inf
Applied rewrites39.5%
Applied rewrites38.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 95.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f648.3
Applied rewrites8.3%
Taylor expanded in z around inf
Applied rewrites30.0%
if 2.00019999999999998 < (+.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 98.2%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6495.6
Applied rewrites95.6%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6487.7
Applied rewrites87.7%
Final simplification44.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_5 (+ (+ (- t_3 (sqrt y)) t_4) t_2)))
(if (<= t_5 0.0)
(+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 z))) 0.5) t_1)
(if (<= t_5 1.0)
(+ (+ (/ 0.5 (sqrt z)) t_4) t_1)
(if (<= t_5 2.999999)
(+ (+ t_3 1.0) (- t_2 (+ (sqrt y) (sqrt x))))
(+
(+
(- 1.0 (sqrt z))
(+ (- (fma 0.5 y 1.0) (sqrt y)) (- 1.0 (sqrt x))))
t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((x + 1.0)) - sqrt(x);
double t_5 = ((t_3 - sqrt(y)) + t_4) + t_2;
double tmp;
if (t_5 <= 0.0) {
tmp = ((sqrt((1.0 / x)) + sqrt((1.0 / z))) * 0.5) + t_1;
} else if (t_5 <= 1.0) {
tmp = ((0.5 / sqrt(z)) + t_4) + t_1;
} else if (t_5 <= 2.999999) {
tmp = (t_3 + 1.0) + (t_2 - (sqrt(y) + sqrt(x)));
} else {
tmp = ((1.0 - sqrt(z)) + ((fma(0.5, y, 1.0) - sqrt(y)) + (1.0 - sqrt(x)))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_5 = Float64(Float64(Float64(t_3 - sqrt(y)) + t_4) + t_2) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / z))) * 0.5) + t_1); elseif (t_5 <= 1.0) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + t_4) + t_1); elseif (t_5 <= 2.999999) tmp = Float64(Float64(t_3 + 1.0) + Float64(t_2 - Float64(sqrt(y) + sqrt(x)))); else tmp = Float64(Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(fma(0.5, y, 1.0) - sqrt(y)) + Float64(1.0 - sqrt(x)))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 1.0], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 2.999999], N[(N[(t$95$3 + 1.0), $MachinePrecision] + N[(t$95$2 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(0.5 * y + 1.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{x + 1} - \sqrt{x}\\
t_5 := \left(\left(t\_3 - \sqrt{y}\right) + t\_4\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{z}}\right) \cdot 0.5 + t\_1\\
\mathbf{elif}\;t\_5 \leq 1:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + t\_4\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 2.999999:\\
\;\;\;\;\left(t\_3 + 1\right) + \left(t\_2 - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(1 - \sqrt{z}\right) + \left(\left(\mathsf{fma}\left(0.5, y, 1\right) - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 62.2%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.2
Applied rewrites62.2%
Taylor expanded in y around inf
Applied rewrites62.2%
Taylor expanded in x around inf
Applied rewrites74.8%
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))) < 1Initial program 96.1%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Taylor expanded in y around inf
Applied rewrites39.5%
Applied rewrites38.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.9999989999999999Initial program 95.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6411.1
Applied rewrites11.1%
Taylor expanded in x around 0
Applied rewrites9.9%
Applied rewrites30.4%
if 2.9999989999999999 < (+.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 99.2%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6499.2
Applied rewrites99.2%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6499.2
Applied rewrites99.2%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6499.2
Applied rewrites99.2%
Final simplification44.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ t_3 (- t_5 (sqrt x))) t_2)))
(if (<= t_6 0.998)
(+ (+ (/ 1.0 (+ (sqrt x) t_5)) t_2) (- t_4 (sqrt t)))
(if (<= t_6 2.2)
(+
(* (sqrt (/ 1.0 t)) 0.5)
(+ (/ 1.0 (+ (sqrt z) t_1)) (+ (- 1.0 (sqrt x)) t_3)))
(+
(-
(+ (+ t_1 1.0) (/ 1.0 (+ (sqrt t) t_4)))
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))
1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double t_4 = sqrt((t + 1.0));
double t_5 = sqrt((x + 1.0));
double t_6 = (t_3 + (t_5 - sqrt(x))) + t_2;
double tmp;
if (t_6 <= 0.998) {
tmp = ((1.0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t));
} else if (t_6 <= 2.2) {
tmp = (sqrt((1.0 / t)) * 0.5) + ((1.0 / (sqrt(z) + t_1)) + ((1.0 - sqrt(x)) + t_3));
} else {
tmp = (((t_1 + 1.0) + (1.0 / (sqrt(t) + t_4))) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = t_1 - sqrt(z)
t_3 = sqrt((y + 1.0d0)) - sqrt(y)
t_4 = sqrt((t + 1.0d0))
t_5 = sqrt((x + 1.0d0))
t_6 = (t_3 + (t_5 - sqrt(x))) + t_2
if (t_6 <= 0.998d0) then
tmp = ((1.0d0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t))
else if (t_6 <= 2.2d0) then
tmp = (sqrt((1.0d0 / t)) * 0.5d0) + ((1.0d0 / (sqrt(z) + t_1)) + ((1.0d0 - sqrt(x)) + t_3))
else
tmp = (((t_1 + 1.0d0) + (1.0d0 / (sqrt(t) + t_4))) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_4 = Math.sqrt((t + 1.0));
double t_5 = Math.sqrt((x + 1.0));
double t_6 = (t_3 + (t_5 - Math.sqrt(x))) + t_2;
double tmp;
if (t_6 <= 0.998) {
tmp = ((1.0 / (Math.sqrt(x) + t_5)) + t_2) + (t_4 - Math.sqrt(t));
} else if (t_6 <= 2.2) {
tmp = (Math.sqrt((1.0 / t)) * 0.5) + ((1.0 / (Math.sqrt(z) + t_1)) + ((1.0 - Math.sqrt(x)) + t_3));
} else {
tmp = (((t_1 + 1.0) + (1.0 / (Math.sqrt(t) + t_4))) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt((y + 1.0)) - math.sqrt(y) t_4 = math.sqrt((t + 1.0)) t_5 = math.sqrt((x + 1.0)) t_6 = (t_3 + (t_5 - math.sqrt(x))) + t_2 tmp = 0 if t_6 <= 0.998: tmp = ((1.0 / (math.sqrt(x) + t_5)) + t_2) + (t_4 - math.sqrt(t)) elif t_6 <= 2.2: tmp = (math.sqrt((1.0 / t)) * 0.5) + ((1.0 / (math.sqrt(z) + t_1)) + ((1.0 - math.sqrt(x)) + t_3)) else: tmp = (((t_1 + 1.0) + (1.0 / (math.sqrt(t) + t_4))) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_4 = sqrt(Float64(t + 1.0)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(t_3 + Float64(t_5 - sqrt(x))) + t_2) tmp = 0.0 if (t_6 <= 0.998) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_5)) + t_2) + Float64(t_4 - sqrt(t))); elseif (t_6 <= 2.2) tmp = Float64(Float64(sqrt(Float64(1.0 / t)) * 0.5) + Float64(Float64(1.0 / Float64(sqrt(z) + t_1)) + Float64(Float64(1.0 - sqrt(x)) + t_3))); else tmp = Float64(Float64(Float64(Float64(t_1 + 1.0) + Float64(1.0 / Float64(sqrt(t) + t_4))) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
t_2 = t_1 - sqrt(z);
t_3 = sqrt((y + 1.0)) - sqrt(y);
t_4 = sqrt((t + 1.0));
t_5 = sqrt((x + 1.0));
t_6 = (t_3 + (t_5 - sqrt(x))) + t_2;
tmp = 0.0;
if (t_6 <= 0.998)
tmp = ((1.0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t));
elseif (t_6 <= 2.2)
tmp = (sqrt((1.0 / t)) * 0.5) + ((1.0 / (sqrt(z) + t_1)) + ((1.0 - sqrt(x)) + t_3));
else
tmp = (((t_1 + 1.0) + (1.0 / (sqrt(t) + t_4))) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$3 + N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 0.998], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.2], N[(N[(N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
t_4 := \sqrt{t + 1}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(t\_3 + \left(t\_5 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 0.998:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_5} + t\_2\right) + \left(t\_4 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_6 \leq 2.2:\\
\;\;\;\;\sqrt{\frac{1}{t}} \cdot 0.5 + \left(\frac{1}{\sqrt{z} + t\_1} + \left(\left(1 - \sqrt{x}\right) + t\_3\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_1 + 1\right) + \frac{1}{\sqrt{t} + t\_4}\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.998Initial program 64.2%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites65.6%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6469.8
Applied rewrites69.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6468.9
Applied rewrites68.9%
if 0.998 < (+.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))) < 2.2000000000000002Initial program 95.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6454.4
Applied rewrites54.4%
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
lower-+.f6454.8
Applied rewrites54.8%
Taylor expanded in z around 0
Applied rewrites55.4%
Taylor expanded in t around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6433.1
Applied rewrites33.1%
if 2.2000000000000002 < (+.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 99.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites97.1%
Taylor expanded in y around 0
Applied rewrites92.2%
Final simplification43.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ (- t_3 (sqrt y)) (- t_5 (sqrt x))) t_2)))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_5)) t_2) (- t_4 (sqrt t)))
(if (<= t_6 2.01)
(- (+ (+ (/ 1.0 (+ (sqrt z) t_1)) t_3) t_5) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_4)) t_1) t_3)
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))
1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((t + 1.0));
double t_5 = sqrt((x + 1.0));
double t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t));
} else if (t_6 <= 2.01) {
tmp = (((1.0 / (sqrt(z) + t_1)) + t_3) + t_5) - (sqrt(y) + sqrt(x));
} else {
tmp = ((((1.0 / (sqrt(t) + t_4)) + t_1) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = t_1 - sqrt(z)
t_3 = sqrt((y + 1.0d0))
t_4 = sqrt((t + 1.0d0))
t_5 = sqrt((x + 1.0d0))
t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2
if (t_6 <= 1.0d0) then
tmp = ((1.0d0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t))
else if (t_6 <= 2.01d0) then
tmp = (((1.0d0 / (sqrt(z) + t_1)) + t_3) + t_5) - (sqrt(y) + sqrt(x))
else
tmp = ((((1.0d0 / (sqrt(t) + t_4)) + t_1) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt((y + 1.0));
double t_4 = Math.sqrt((t + 1.0));
double t_5 = Math.sqrt((x + 1.0));
double t_6 = ((t_3 - Math.sqrt(y)) + (t_5 - Math.sqrt(x))) + t_2;
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (Math.sqrt(x) + t_5)) + t_2) + (t_4 - Math.sqrt(t));
} else if (t_6 <= 2.01) {
tmp = (((1.0 / (Math.sqrt(z) + t_1)) + t_3) + t_5) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((((1.0 / (Math.sqrt(t) + t_4)) + t_1) + t_3) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt((y + 1.0)) t_4 = math.sqrt((t + 1.0)) t_5 = math.sqrt((x + 1.0)) t_6 = ((t_3 - math.sqrt(y)) + (t_5 - math.sqrt(x))) + t_2 tmp = 0 if t_6 <= 1.0: tmp = ((1.0 / (math.sqrt(x) + t_5)) + t_2) + (t_4 - math.sqrt(t)) elif t_6 <= 2.01: tmp = (((1.0 / (math.sqrt(z) + t_1)) + t_3) + t_5) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((((1.0 / (math.sqrt(t) + t_4)) + t_1) + t_3) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(t + 1.0)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_5 - sqrt(x))) + t_2) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_5)) + t_2) + Float64(t_4 - sqrt(t))); elseif (t_6 <= 2.01) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_1)) + t_3) + t_5) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_4)) + t_1) + t_3) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
t_2 = t_1 - sqrt(z);
t_3 = sqrt((y + 1.0));
t_4 = sqrt((t + 1.0));
t_5 = sqrt((x + 1.0));
t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
tmp = 0.0;
if (t_6 <= 1.0)
tmp = ((1.0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t));
elseif (t_6 <= 2.01)
tmp = (((1.0 / (sqrt(z) + t_1)) + t_3) + t_5) - (sqrt(y) + sqrt(x));
else
tmp = ((((1.0 / (sqrt(t) + t_4)) + t_1) + t_3) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.01], N[(N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{t + 1}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_5 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_5} + t\_2\right) + \left(t\_4 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_6 \leq 2.01:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{z} + t\_1} + t\_3\right) + t\_5\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_4} + t\_1\right) + t\_3\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 87.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6474.8
Applied rewrites74.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6472.8
Applied rewrites72.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0099999999999998Initial program 95.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6471.7
Applied rewrites71.7%
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
lower-+.f6472.5
Applied rewrites72.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.6%
if 2.0099999999999998 < (+.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 98.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites97.2%
Final simplification58.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (- t_4 (sqrt y)))
(t_6 (sqrt (+ x 1.0)))
(t_7 (+ (sqrt x) t_6)))
(if (<= (+ (+ t_5 (- t_6 (sqrt x))) t_2) 1.00001)
(+
(+
(/
(* (fma -2.0 (sqrt (/ 1.0 y)) (/ t_7 (- y))) (- y))
(* t_7 (+ (sqrt y) t_4)))
t_2)
t_3)
(+ (+ (/ 1.0 (+ (sqrt z) t_1)) (+ (- 1.0 (sqrt x)) t_5)) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = t_4 - sqrt(y);
double t_6 = sqrt((x + 1.0));
double t_7 = sqrt(x) + t_6;
double tmp;
if (((t_5 + (t_6 - sqrt(x))) + t_2) <= 1.00001) {
tmp = (((fma(-2.0, sqrt((1.0 / y)), (t_7 / -y)) * -y) / (t_7 * (sqrt(y) + t_4))) + t_2) + t_3;
} else {
tmp = ((1.0 / (sqrt(z) + t_1)) + ((1.0 - sqrt(x)) + t_5)) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(t_4 - sqrt(y)) t_6 = sqrt(Float64(x + 1.0)) t_7 = Float64(sqrt(x) + t_6) tmp = 0.0 if (Float64(Float64(t_5 + Float64(t_6 - sqrt(x))) + t_2) <= 1.00001) tmp = Float64(Float64(Float64(Float64(fma(-2.0, sqrt(Float64(1.0 / y)), Float64(t_7 / Float64(-y))) * Float64(-y)) / Float64(t_7 * Float64(sqrt(y) + t_4))) + t_2) + t_3); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_1)) + Float64(Float64(1.0 - sqrt(x)) + t_5)) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[Sqrt[x], $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$5 + N[(t$95$6 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], 1.00001], N[(N[(N[(N[(N[(-2.0 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(t$95$7 / (-y)), $MachinePrecision]), $MachinePrecision] * (-y)), $MachinePrecision] / N[(t$95$7 * N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := t\_4 - \sqrt{y}\\
t_6 := \sqrt{x + 1}\\
t_7 := \sqrt{x} + t\_6\\
\mathbf{if}\;\left(t\_5 + \left(t\_6 - \sqrt{x}\right)\right) + t\_2 \leq 1.00001:\\
\;\;\;\;\left(\frac{\mathsf{fma}\left(-2, \sqrt{\frac{1}{y}}, \frac{t\_7}{-y}\right) \cdot \left(-y\right)}{t\_7 \cdot \left(\sqrt{y} + t\_4\right)} + t\_2\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{z} + t\_1} + \left(\left(1 - \sqrt{x}\right) + t\_5\right)\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.0000100000000001Initial program 87.4%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.3%
Taylor expanded in y around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
+-commutativeN/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
mul-1-negN/A
distribute-neg-frac2N/A
Applied rewrites83.5%
if 1.0000100000000001 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6477.7
Applied rewrites77.7%
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
lower-+.f6478.1
Applied rewrites78.1%
Taylor expanded in z around 0
Applied rewrites78.6%
Final simplification81.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ (- t_3 (sqrt y)) (- t_5 (sqrt x))) t_2)))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_5)) t_2) (- t_4 (sqrt t)))
(if (<= t_6 2.01)
(- (+ (+ (/ 1.0 (+ (sqrt z) t_1)) t_3) t_5) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (+ t_1 1.0) (/ 1.0 (+ (sqrt t) t_4)))
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))
1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((t + 1.0));
double t_5 = sqrt((x + 1.0));
double t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t));
} else if (t_6 <= 2.01) {
tmp = (((1.0 / (sqrt(z) + t_1)) + t_3) + t_5) - (sqrt(y) + sqrt(x));
} else {
tmp = (((t_1 + 1.0) + (1.0 / (sqrt(t) + t_4))) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = t_1 - sqrt(z)
t_3 = sqrt((y + 1.0d0))
t_4 = sqrt((t + 1.0d0))
t_5 = sqrt((x + 1.0d0))
t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2
if (t_6 <= 1.0d0) then
tmp = ((1.0d0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t))
else if (t_6 <= 2.01d0) then
tmp = (((1.0d0 / (sqrt(z) + t_1)) + t_3) + t_5) - (sqrt(y) + sqrt(x))
else
tmp = (((t_1 + 1.0d0) + (1.0d0 / (sqrt(t) + t_4))) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt((y + 1.0));
double t_4 = Math.sqrt((t + 1.0));
double t_5 = Math.sqrt((x + 1.0));
double t_6 = ((t_3 - Math.sqrt(y)) + (t_5 - Math.sqrt(x))) + t_2;
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (Math.sqrt(x) + t_5)) + t_2) + (t_4 - Math.sqrt(t));
} else if (t_6 <= 2.01) {
tmp = (((1.0 / (Math.sqrt(z) + t_1)) + t_3) + t_5) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (((t_1 + 1.0) + (1.0 / (Math.sqrt(t) + t_4))) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt((y + 1.0)) t_4 = math.sqrt((t + 1.0)) t_5 = math.sqrt((x + 1.0)) t_6 = ((t_3 - math.sqrt(y)) + (t_5 - math.sqrt(x))) + t_2 tmp = 0 if t_6 <= 1.0: tmp = ((1.0 / (math.sqrt(x) + t_5)) + t_2) + (t_4 - math.sqrt(t)) elif t_6 <= 2.01: tmp = (((1.0 / (math.sqrt(z) + t_1)) + t_3) + t_5) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (((t_1 + 1.0) + (1.0 / (math.sqrt(t) + t_4))) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(t + 1.0)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_5 - sqrt(x))) + t_2) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_5)) + t_2) + Float64(t_4 - sqrt(t))); elseif (t_6 <= 2.01) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_1)) + t_3) + t_5) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(t_1 + 1.0) + Float64(1.0 / Float64(sqrt(t) + t_4))) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
t_2 = t_1 - sqrt(z);
t_3 = sqrt((y + 1.0));
t_4 = sqrt((t + 1.0));
t_5 = sqrt((x + 1.0));
t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
tmp = 0.0;
if (t_6 <= 1.0)
tmp = ((1.0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t));
elseif (t_6 <= 2.01)
tmp = (((1.0 / (sqrt(z) + t_1)) + t_3) + t_5) - (sqrt(y) + sqrt(x));
else
tmp = (((t_1 + 1.0) + (1.0 / (sqrt(t) + t_4))) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.01], N[(N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{t + 1}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_5 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_5} + t\_2\right) + \left(t\_4 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_6 \leq 2.01:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{z} + t\_1} + t\_3\right) + t\_5\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_1 + 1\right) + \frac{1}{\sqrt{t} + t\_4}\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 87.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6474.8
Applied rewrites74.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6472.8
Applied rewrites72.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0099999999999998Initial program 95.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6471.7
Applied rewrites71.7%
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
lower-+.f6472.5
Applied rewrites72.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.6%
if 2.0099999999999998 < (+.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 98.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites97.2%
Taylor expanded in y around 0
Applied rewrites89.0%
Final simplification57.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (sqrt (+ x 1.0)))
(t_6 (+ (+ (- t_3 (sqrt y)) (- t_5 (sqrt x))) t_2)))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_5)) t_2) (- t_4 (sqrt t)))
(if (<= t_6 2.01)
(- (+ (+ (/ 1.0 (+ (sqrt z) t_1)) t_3) t_5) (+ (sqrt y) (sqrt x)))
(+
(- (+ (/ 1.0 (+ (sqrt t) t_4)) t_1) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
2.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((t + 1.0));
double t_5 = sqrt((x + 1.0));
double t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t));
} else if (t_6 <= 2.01) {
tmp = (((1.0 / (sqrt(z) + t_1)) + t_3) + t_5) - (sqrt(y) + sqrt(x));
} else {
tmp = (((1.0 / (sqrt(t) + t_4)) + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = t_1 - sqrt(z)
t_3 = sqrt((y + 1.0d0))
t_4 = sqrt((t + 1.0d0))
t_5 = sqrt((x + 1.0d0))
t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2
if (t_6 <= 1.0d0) then
tmp = ((1.0d0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t))
else if (t_6 <= 2.01d0) then
tmp = (((1.0d0 / (sqrt(z) + t_1)) + t_3) + t_5) - (sqrt(y) + sqrt(x))
else
tmp = (((1.0d0 / (sqrt(t) + t_4)) + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt((y + 1.0));
double t_4 = Math.sqrt((t + 1.0));
double t_5 = Math.sqrt((x + 1.0));
double t_6 = ((t_3 - Math.sqrt(y)) + (t_5 - Math.sqrt(x))) + t_2;
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (Math.sqrt(x) + t_5)) + t_2) + (t_4 - Math.sqrt(t));
} else if (t_6 <= 2.01) {
tmp = (((1.0 / (Math.sqrt(z) + t_1)) + t_3) + t_5) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (((1.0 / (Math.sqrt(t) + t_4)) + t_1) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 2.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt((y + 1.0)) t_4 = math.sqrt((t + 1.0)) t_5 = math.sqrt((x + 1.0)) t_6 = ((t_3 - math.sqrt(y)) + (t_5 - math.sqrt(x))) + t_2 tmp = 0 if t_6 <= 1.0: tmp = ((1.0 / (math.sqrt(x) + t_5)) + t_2) + (t_4 - math.sqrt(t)) elif t_6 <= 2.01: tmp = (((1.0 / (math.sqrt(z) + t_1)) + t_3) + t_5) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (((1.0 / (math.sqrt(t) + t_4)) + t_1) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) + 2.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(t + 1.0)) t_5 = sqrt(Float64(x + 1.0)) t_6 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_5 - sqrt(x))) + t_2) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_5)) + t_2) + Float64(t_4 - sqrt(t))); elseif (t_6 <= 2.01) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_1)) + t_3) + t_5) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_4)) + t_1) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
t_2 = t_1 - sqrt(z);
t_3 = sqrt((y + 1.0));
t_4 = sqrt((t + 1.0));
t_5 = sqrt((x + 1.0));
t_6 = ((t_3 - sqrt(y)) + (t_5 - sqrt(x))) + t_2;
tmp = 0.0;
if (t_6 <= 1.0)
tmp = ((1.0 / (sqrt(x) + t_5)) + t_2) + (t_4 - sqrt(t));
elseif (t_6 <= 2.01)
tmp = (((1.0 / (sqrt(z) + t_1)) + t_3) + t_5) - (sqrt(y) + sqrt(x));
else
tmp = (((1.0 / (sqrt(t) + t_4)) + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 2.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.01], N[(N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{t + 1}\\
t_5 := \sqrt{x + 1}\\
t_6 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_5 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_5} + t\_2\right) + \left(t\_4 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_6 \leq 2.01:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{z} + t\_1} + t\_3\right) + t\_5\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{t} + t\_4} + t\_1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 87.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6474.8
Applied rewrites74.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6472.8
Applied rewrites72.8%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0099999999999998Initial program 95.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6471.7
Applied rewrites71.7%
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
lower-+.f6472.5
Applied rewrites72.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites31.6%
if 2.0099999999999998 < (+.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 98.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.1
Applied rewrites99.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites97.2%
Taylor expanded in y around 0
Applied rewrites89.0%
Final simplification57.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ (- t_3 (sqrt y)) (- t_4 (sqrt x))) t_2)))
(if (<= t_5 0.002)
(+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 z))) 0.5) t_1)
(if (<= t_5 2.999999)
(+ (+ (- t_2 (+ (sqrt y) (sqrt x))) t_3) t_4)
(+
(+ (- 1.0 (sqrt z)) (+ (- (fma 0.5 y 1.0) (sqrt y)) (- 1.0 (sqrt x))))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((x + 1.0));
double t_5 = ((t_3 - sqrt(y)) + (t_4 - sqrt(x))) + t_2;
double tmp;
if (t_5 <= 0.002) {
tmp = ((sqrt((1.0 / x)) + sqrt((1.0 / z))) * 0.5) + t_1;
} else if (t_5 <= 2.999999) {
tmp = ((t_2 - (sqrt(y) + sqrt(x))) + t_3) + t_4;
} else {
tmp = ((1.0 - sqrt(z)) + ((fma(0.5, y, 1.0) - sqrt(y)) + (1.0 - sqrt(x)))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(t_4 - sqrt(x))) + t_2) tmp = 0.0 if (t_5 <= 0.002) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / z))) * 0.5) + t_1); elseif (t_5 <= 2.999999) tmp = Float64(Float64(Float64(t_2 - Float64(sqrt(y) + sqrt(x))) + t_3) + t_4); else tmp = Float64(Float64(Float64(1.0 - sqrt(z)) + Float64(Float64(fma(0.5, y, 1.0) - sqrt(y)) + Float64(1.0 - sqrt(x)))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 0.002], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 2.999999], N[(N[(N[(t$95$2 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(1.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(0.5 * y + 1.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_4 - \sqrt{x}\right)\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 0.002:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{z}}\right) \cdot 0.5 + t\_1\\
\mathbf{elif}\;t\_5 \leq 2.999999:\\
\;\;\;\;\left(\left(t\_2 - \left(\sqrt{y} + \sqrt{x}\right)\right) + t\_3\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\left(1 - \sqrt{z}\right) + \left(\left(\mathsf{fma}\left(0.5, y, 1\right) - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2e-3Initial program 63.2%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6461.2
Applied rewrites61.2%
Taylor expanded in y around inf
Applied rewrites62.3%
Taylor expanded in x around inf
Applied rewrites74.6%
if 2e-3 < (+.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))) < 2.9999989999999999Initial program 95.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f647.6
Applied rewrites7.6%
Applied rewrites30.6%
if 2.9999989999999999 < (+.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 99.2%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6499.2
Applied rewrites99.2%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6499.2
Applied rewrites99.2%
Taylor expanded in z around 0
lower--.f64N/A
lower-sqrt.f6499.2
Applied rewrites99.2%
Final simplification41.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) (- t_1 (sqrt z)))))
(if (<= t_4 1.0)
(+
(- (fma 0.5 (sqrt (/ 1.0 z)) 1.0) (sqrt x))
(- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_4 2.0)
(- (+ t_2 t_3) (+ (sqrt y) (sqrt x)))
(+ (- (+ t_2 t_1) (+ (+ (sqrt y) (sqrt z)) (sqrt x))) 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + (t_1 - sqrt(z));
double tmp;
if (t_4 <= 1.0) {
tmp = (fma(0.5, sqrt((1.0 / z)), 1.0) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_4 <= 2.0) {
tmp = (t_2 + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_2 + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / z)), 1.0) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_4 <= 2.0) tmp = Float64(Float64(t_2 + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_2 + t_1) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(t$95$2 + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, 1\right) - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(t\_2 + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 87.7%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6424.8
Applied rewrites24.8%
Taylor expanded in y around inf
Applied rewrites45.1%
Taylor expanded in x around 0
Applied rewrites24.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 96.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.7
Applied rewrites6.7%
Taylor expanded in z around inf
Applied rewrites29.1%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 95.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6450.7
Applied rewrites50.7%
Taylor expanded in x around 0
Applied rewrites50.1%
Final simplification29.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_4 (sqrt (/ 1.0 y)))
(t_5 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_6 (+ t_3 t_5))
(t_7 (- t_2 (sqrt z))))
(if (<= t_6 0.0)
(+ (+ (+ (* t_4 0.5) (* (sqrt (/ 1.0 x)) 0.5)) t_7) t_1)
(if (<= t_6 1.001)
(+ (+ (fma t_4 0.5 t_5) t_7) t_1)
(+ (+ (/ 1.0 (+ (sqrt z) t_2)) (+ (- 1.0 (sqrt x)) t_3)) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double t_4 = sqrt((1.0 / y));
double t_5 = sqrt((x + 1.0)) - sqrt(x);
double t_6 = t_3 + t_5;
double t_7 = t_2 - sqrt(z);
double tmp;
if (t_6 <= 0.0) {
tmp = (((t_4 * 0.5) + (sqrt((1.0 / x)) * 0.5)) + t_7) + t_1;
} else if (t_6 <= 1.001) {
tmp = (fma(t_4, 0.5, t_5) + t_7) + t_1;
} else {
tmp = ((1.0 / (sqrt(z) + t_2)) + ((1.0 - sqrt(x)) + t_3)) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_4 = sqrt(Float64(1.0 / y)) t_5 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_6 = Float64(t_3 + t_5) t_7 = Float64(t_2 - sqrt(z)) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(Float64(Float64(Float64(t_4 * 0.5) + Float64(sqrt(Float64(1.0 / x)) * 0.5)) + t_7) + t_1); elseif (t_6 <= 1.001) tmp = Float64(Float64(fma(t_4, 0.5, t_5) + t_7) + t_1); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_2)) + Float64(Float64(1.0 - sqrt(x)) + t_3)) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 + t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(N[(N[(N[(t$95$4 * 0.5), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$7), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$6, 1.001], N[(N[(N[(t$95$4 * 0.5 + t$95$5), $MachinePrecision] + t$95$7), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
t_4 := \sqrt{\frac{1}{y}}\\
t_5 := \sqrt{x + 1} - \sqrt{x}\\
t_6 := t\_3 + t\_5\\
t_7 := t\_2 - \sqrt{z}\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;\left(\left(t\_4 \cdot 0.5 + \sqrt{\frac{1}{x}} \cdot 0.5\right) + t\_7\right) + t\_1\\
\mathbf{elif}\;t\_6 \leq 1.001:\\
\;\;\;\;\left(\mathsf{fma}\left(t\_4, 0.5, t\_5\right) + t\_7\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{z} + t\_2} + \left(\left(1 - \sqrt{x}\right) + t\_3\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.0Initial program 80.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f641.3
Applied rewrites1.3%
Taylor expanded in y around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f641.3
Applied rewrites1.3%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6487.6
Applied rewrites87.6%
if 0.0 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.0009999999999999Initial program 95.6%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6460.6
Applied rewrites60.6%
if 1.0009999999999999 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.8%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6495.5
Applied rewrites95.5%
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
lower-+.f6495.8
Applied rewrites95.8%
Taylor expanded in z around 0
Applied rewrites96.8%
Final simplification77.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_4 (+ (- t_1 (sqrt y)) t_3)))
(if (<= t_4 0.0)
(+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 z))) 0.5) t_2)
(if (<= t_4 1.0)
(+ (+ (/ 0.5 (sqrt z)) t_3) t_2)
(+
(+ t_1 1.0)
(- (- (sqrt (+ 1.0 z)) (sqrt z)) (+ (sqrt y) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((x + 1.0)) - sqrt(x);
double t_4 = (t_1 - sqrt(y)) + t_3;
double tmp;
if (t_4 <= 0.0) {
tmp = ((sqrt((1.0 / x)) + sqrt((1.0 / z))) * 0.5) + t_2;
} else if (t_4 <= 1.0) {
tmp = ((0.5 / sqrt(z)) + t_3) + t_2;
} else {
tmp = (t_1 + 1.0) + ((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) + sqrt(x)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((t + 1.0d0)) - sqrt(t)
t_3 = sqrt((x + 1.0d0)) - sqrt(x)
t_4 = (t_1 - sqrt(y)) + t_3
if (t_4 <= 0.0d0) then
tmp = ((sqrt((1.0d0 / x)) + sqrt((1.0d0 / z))) * 0.5d0) + t_2
else if (t_4 <= 1.0d0) then
tmp = ((0.5d0 / sqrt(z)) + t_3) + t_2
else
tmp = (t_1 + 1.0d0) + ((sqrt((1.0d0 + z)) - sqrt(z)) - (sqrt(y) + sqrt(x)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_3 = Math.sqrt((x + 1.0)) - Math.sqrt(x);
double t_4 = (t_1 - Math.sqrt(y)) + t_3;
double tmp;
if (t_4 <= 0.0) {
tmp = ((Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / z))) * 0.5) + t_2;
} else if (t_4 <= 1.0) {
tmp = ((0.5 / Math.sqrt(z)) + t_3) + t_2;
} else {
tmp = (t_1 + 1.0) + ((Math.sqrt((1.0 + z)) - Math.sqrt(z)) - (Math.sqrt(y) + Math.sqrt(x)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((t + 1.0)) - math.sqrt(t) t_3 = math.sqrt((x + 1.0)) - math.sqrt(x) t_4 = (t_1 - math.sqrt(y)) + t_3 tmp = 0 if t_4 <= 0.0: tmp = ((math.sqrt((1.0 / x)) + math.sqrt((1.0 / z))) * 0.5) + t_2 elif t_4 <= 1.0: tmp = ((0.5 / math.sqrt(z)) + t_3) + t_2 else: tmp = (t_1 + 1.0) + ((math.sqrt((1.0 + z)) - math.sqrt(z)) - (math.sqrt(y) + math.sqrt(x))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_4 = Float64(Float64(t_1 - sqrt(y)) + t_3) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / z))) * 0.5) + t_2); elseif (t_4 <= 1.0) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) + t_3) + t_2); else tmp = Float64(Float64(t_1 + 1.0) + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((t + 1.0)) - sqrt(t);
t_3 = sqrt((x + 1.0)) - sqrt(x);
t_4 = (t_1 - sqrt(y)) + t_3;
tmp = 0.0;
if (t_4 <= 0.0)
tmp = ((sqrt((1.0 / x)) + sqrt((1.0 / z))) * 0.5) + t_2;
elseif (t_4 <= 1.0)
tmp = ((0.5 / sqrt(z)) + t_3) + t_2;
else
tmp = (t_1 + 1.0) + ((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) + sqrt(x)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$4, 1.0], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{x + 1} - \sqrt{x}\\
t_4 := \left(t\_1 - \sqrt{y}\right) + t\_3\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{z}}\right) \cdot 0.5 + t\_2\\
\mathbf{elif}\;t\_4 \leq 1:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} + t\_3\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.0Initial program 80.7%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6433.5
Applied rewrites33.5%
Taylor expanded in y around inf
Applied rewrites33.4%
Taylor expanded in x around inf
Applied rewrites37.6%
if 0.0 < (+.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))) < 1Initial program 96.5%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6411.5
Applied rewrites11.5%
Taylor expanded in y around inf
Applied rewrites34.5%
Applied rewrites34.7%
if 1 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 95.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.4
Applied rewrites26.4%
Taylor expanded in x around 0
Applied rewrites26.1%
Applied rewrites58.3%
Final simplification42.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (+ (- t_2 (sqrt y)) (- (sqrt (+ x 1.0)) (sqrt x))))
(t_4 (sqrt (/ 1.0 z))))
(if (<= t_3 0.002)
(+ (* (+ (sqrt (/ 1.0 x)) t_4) 0.5) t_1)
(if (<= t_3 1.0)
(+ (- (fma 0.5 (+ t_4 x) 1.0) (sqrt x)) t_1)
(+
(+ t_2 1.0)
(- (- (sqrt (+ 1.0 z)) (sqrt z)) (+ (sqrt y) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((y + 1.0));
double t_3 = (t_2 - sqrt(y)) + (sqrt((x + 1.0)) - sqrt(x));
double t_4 = sqrt((1.0 / z));
double tmp;
if (t_3 <= 0.002) {
tmp = ((sqrt((1.0 / x)) + t_4) * 0.5) + t_1;
} else if (t_3 <= 1.0) {
tmp = (fma(0.5, (t_4 + x), 1.0) - sqrt(x)) + t_1;
} else {
tmp = (t_2 + 1.0) + ((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(y + 1.0)) t_3 = Float64(Float64(t_2 - sqrt(y)) + Float64(sqrt(Float64(x + 1.0)) - sqrt(x))) t_4 = sqrt(Float64(1.0 / z)) tmp = 0.0 if (t_3 <= 0.002) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + t_4) * 0.5) + t_1); elseif (t_3 <= 1.0) tmp = Float64(Float64(fma(0.5, Float64(t_4 + x), 1.0) - sqrt(x)) + t_1); else tmp = Float64(Float64(t_2 + 1.0) + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 0.002], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$3, 1.0], N[(N[(N[(0.5 * N[(t$95$4 + x), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(t$95$2 + 1.0), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{y + 1}\\
t_3 := \left(t\_2 - \sqrt{y}\right) + \left(\sqrt{x + 1} - \sqrt{x}\right)\\
t_4 := \sqrt{\frac{1}{z}}\\
\mathbf{if}\;t\_3 \leq 0.002:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} + t\_4\right) \cdot 0.5 + t\_1\\
\mathbf{elif}\;t\_3 \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t\_4 + x, 1\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + 1\right) + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 2e-3Initial program 80.6%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6433.4
Applied rewrites33.4%
Taylor expanded in y around inf
Applied rewrites33.8%
Taylor expanded in x around inf
Applied rewrites38.2%
if 2e-3 < (+.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))) < 1Initial program 97.0%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6411.0
Applied rewrites11.0%
Taylor expanded in y around inf
Applied rewrites34.2%
Taylor expanded in x around 0
Applied rewrites31.9%
if 1 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 95.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.4
Applied rewrites26.4%
Taylor expanded in x around 0
Applied rewrites26.1%
Applied rewrites58.3%
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 1.0)) (sqrt y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ x 1.0))))
(if (<= (+ t_1 (- t_4 (sqrt x))) 0.998)
(+ (+ (/ 1.0 (+ (sqrt x) t_4)) (- t_2 (sqrt z))) t_3)
(+ (+ (/ 1.0 (+ (sqrt z) t_2)) (+ (- 1.0 (sqrt x)) t_1)) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0)) - sqrt(y);
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((x + 1.0));
double tmp;
if ((t_1 + (t_4 - sqrt(x))) <= 0.998) {
tmp = ((1.0 / (sqrt(x) + t_4)) + (t_2 - sqrt(z))) + t_3;
} else {
tmp = ((1.0 / (sqrt(z) + t_2)) + ((1.0 - sqrt(x)) + t_1)) + t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((y + 1.0d0)) - sqrt(y)
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
t_4 = sqrt((x + 1.0d0))
if ((t_1 + (t_4 - sqrt(x))) <= 0.998d0) then
tmp = ((1.0d0 / (sqrt(x) + t_4)) + (t_2 - sqrt(z))) + t_3
else
tmp = ((1.0d0 / (sqrt(z) + t_2)) + ((1.0d0 - sqrt(x)) + t_1)) + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_4 = Math.sqrt((x + 1.0));
double tmp;
if ((t_1 + (t_4 - Math.sqrt(x))) <= 0.998) {
tmp = ((1.0 / (Math.sqrt(x) + t_4)) + (t_2 - Math.sqrt(z))) + t_3;
} else {
tmp = ((1.0 / (Math.sqrt(z) + t_2)) + ((1.0 - Math.sqrt(x)) + t_1)) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) - math.sqrt(y) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) t_4 = math.sqrt((x + 1.0)) tmp = 0 if (t_1 + (t_4 - math.sqrt(x))) <= 0.998: tmp = ((1.0 / (math.sqrt(x) + t_4)) + (t_2 - math.sqrt(z))) + t_3 else: tmp = ((1.0 / (math.sqrt(z) + t_2)) + ((1.0 - math.sqrt(x)) + t_1)) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_1 + Float64(t_4 - sqrt(x))) <= 0.998) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + Float64(t_2 - sqrt(z))) + t_3); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_2)) + Float64(Float64(1.0 - sqrt(x)) + t_1)) + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0)) - sqrt(y);
t_2 = sqrt((1.0 + z));
t_3 = sqrt((t + 1.0)) - sqrt(t);
t_4 = sqrt((x + 1.0));
tmp = 0.0;
if ((t_1 + (t_4 - sqrt(x))) <= 0.998)
tmp = ((1.0 / (sqrt(x) + t_4)) + (t_2 - sqrt(z))) + t_3;
else
tmp = ((1.0 / (sqrt(z) + t_2)) + ((1.0 - sqrt(x)) + t_1)) + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.998], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1} - \sqrt{y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{x + 1}\\
\mathbf{if}\;t\_1 + \left(t\_4 - \sqrt{x}\right) \leq 0.998:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_4} + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{z} + t\_2} + \left(\left(1 - \sqrt{x}\right) + t\_1\right)\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.998Initial program 80.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites82.4%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6482.9
Applied rewrites82.9%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6482.4
Applied rewrites82.4%
if 0.998 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6470.6
Applied rewrites70.6%
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
lower-+.f6471.0
Applied rewrites71.0%
Taylor expanded in z around 0
Applied rewrites71.7%
Final simplification74.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt y) (sqrt (+ y 1.0)))))
(+
(+
(/ (+ (+ (sqrt x) 1.0) t_1) (* (+ (sqrt x) (sqrt (+ x 1.0))) t_1))
(- (sqrt (+ 1.0 z)) (sqrt z)))
(- (sqrt (+ t 1.0)) (sqrt t)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt((y + 1.0));
return ((((sqrt(x) + 1.0) + t_1) / ((sqrt(x) + sqrt((x + 1.0))) * t_1)) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
t_1 = sqrt(y) + sqrt((y + 1.0d0))
code = ((((sqrt(x) + 1.0d0) + t_1) / ((sqrt(x) + sqrt((x + 1.0d0))) * t_1)) + (sqrt((1.0d0 + z)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt(y) + Math.sqrt((y + 1.0));
return ((((Math.sqrt(x) + 1.0) + t_1) / ((Math.sqrt(x) + Math.sqrt((x + 1.0))) * t_1)) + (Math.sqrt((1.0 + z)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt(y) + math.sqrt((y + 1.0)) return ((((math.sqrt(x) + 1.0) + t_1) / ((math.sqrt(x) + math.sqrt((x + 1.0))) * t_1)) + (math.sqrt((1.0 + z)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(Float64(y + 1.0))) return Float64(Float64(Float64(Float64(Float64(sqrt(x) + 1.0) + t_1) / Float64(Float64(sqrt(x) + sqrt(Float64(x + 1.0))) * t_1)) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
t_1 = sqrt(y) + sqrt((y + 1.0));
tmp = ((((sqrt(x) + 1.0) + t_1) / ((sqrt(x) + sqrt((x + 1.0))) * t_1)) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
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[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] / N[(N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $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}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y} + \sqrt{y + 1}\\
\left(\frac{\left(\sqrt{x} + 1\right) + t\_1}{\left(\sqrt{x} + \sqrt{x + 1}\right) \cdot t\_1} + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
\end{array}
Initial program 92.1%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites92.9%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6478.4
Applied rewrites78.4%
Final simplification78.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))))
(if (<= (+ (- t_1 (sqrt y)) (- (sqrt (+ x 1.0)) (sqrt x))) 1.0)
(+
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) x) 1.0) (sqrt x))
(- (sqrt (+ t 1.0)) (sqrt t)))
(+ (+ t_1 1.0) (- (- (sqrt (+ 1.0 z)) (sqrt z)) (+ (sqrt y) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double tmp;
if (((t_1 - sqrt(y)) + (sqrt((x + 1.0)) - sqrt(x))) <= 1.0) {
tmp = (fma(0.5, (sqrt((1.0 / z)) + x), 1.0) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
} else {
tmp = (t_1 + 1.0) + ((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(Float64(t_1 - sqrt(y)) + Float64(sqrt(Float64(x + 1.0)) - sqrt(x))) <= 1.0) tmp = Float64(Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + x), 1.0) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); else tmp = Float64(Float64(t_1 + 1.0) + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0], N[(N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + x), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
\mathbf{if}\;\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{x + 1} - \sqrt{x}\right) \leq 1:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + x, 1\right) - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1Initial program 90.8%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.5
Applied rewrites19.5%
Taylor expanded in y around inf
Applied rewrites34.1%
Taylor expanded in x around 0
Applied rewrites21.7%
if 1 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 95.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.4
Applied rewrites26.4%
Taylor expanded in x around 0
Applied rewrites26.1%
Applied rewrites58.3%
Final simplification32.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))))
(if (<= (- t_1 (sqrt y)) 0.0)
(+
(- (fma 0.5 (sqrt (/ 1.0 z)) 1.0) (sqrt x))
(- (sqrt (+ t 1.0)) (sqrt t)))
(+ (+ t_1 1.0) (- (- (sqrt (+ 1.0 z)) (sqrt z)) (+ (sqrt y) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double tmp;
if ((t_1 - sqrt(y)) <= 0.0) {
tmp = (fma(0.5, sqrt((1.0 / z)), 1.0) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
} else {
tmp = (t_1 + 1.0) + ((sqrt((1.0 + z)) - sqrt(z)) - (sqrt(y) + sqrt(x)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(t_1 - sqrt(y)) <= 0.0) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / z)), 1.0) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); else tmp = Float64(Float64(t_1 + 1.0) + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) - Float64(sqrt(y) + sqrt(x)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 1.0), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
\mathbf{if}\;t\_1 - \sqrt{y} \leq 0:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, 1\right) - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 88.9%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Applied rewrites22.8%
Taylor expanded in y around inf
Applied rewrites42.9%
Taylor expanded in x around 0
Applied rewrites26.7%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 95.6%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.4
Applied rewrites17.4%
Taylor expanded in x around 0
Applied rewrites16.1%
Applied rewrites35.1%
Final simplification30.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= y 1.05e+16)
(- (+ (sqrt (+ y 1.0)) (sqrt (+ x 1.0))) (+ (sqrt y) (sqrt x)))
(+
(- (fma 0.5 (sqrt (/ 1.0 z)) 1.0) (sqrt x))
(- (sqrt (+ t 1.0)) (sqrt t)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 1.05e+16) {
tmp = (sqrt((y + 1.0)) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
} else {
tmp = (fma(0.5, sqrt((1.0 / z)), 1.0) - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 1.05e+16) tmp = Float64(Float64(sqrt(Float64(y + 1.0)) + sqrt(Float64(x + 1.0))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / z)), 1.0) - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[y, 1.05e+16], N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 1.05 \cdot 10^{+16}:\\
\;\;\;\;\left(\sqrt{y + 1} + \sqrt{x + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, 1\right) - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\end{array}
\end{array}
if y < 1.05e16Initial program 95.6%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.4
Applied rewrites17.4%
Taylor expanded in z around inf
Applied rewrites29.2%
if 1.05e16 < y Initial program 88.9%
Taylor expanded in z around inf
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Applied rewrites22.8%
Taylor expanded in y around inf
Applied rewrites42.9%
Taylor expanded in x around 0
Applied rewrites26.7%
Final simplification27.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (sqrt (+ y 1.0)) (sqrt (+ x 1.0))) (+ (sqrt y) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((y + 1.0)) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt((y + 1.0d0)) + sqrt((x + 1.0d0))) - (sqrt(y) + sqrt(x))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt((y + 1.0)) + Math.sqrt((x + 1.0))) - (Math.sqrt(y) + Math.sqrt(x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt((y + 1.0)) + math.sqrt((x + 1.0))) - (math.sqrt(y) + math.sqrt(x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(y + 1.0)) + sqrt(Float64(x + 1.0))) - Float64(sqrt(y) + sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((y + 1.0)) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{y + 1} + \sqrt{x + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)
\end{array}
Initial program 92.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.3
Applied rewrites10.3%
Taylor expanded in z around inf
Applied rewrites16.2%
Final simplification16.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt y) (+ (sqrt y) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt(y) - (sqrt(y) + sqrt(x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt(y) - (sqrt(y) + sqrt(x))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(y) - (Math.sqrt(y) + Math.sqrt(x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(y) - (math.sqrt(y) + math.sqrt(x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(y) - Float64(sqrt(y) + sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt(y) - (sqrt(y) + sqrt(x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[y], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{y} - \left(\sqrt{y} + \sqrt{x}\right)
\end{array}
Initial program 92.1%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/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-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.3
Applied rewrites10.3%
Taylor expanded in z around inf
Applied rewrites1.9%
Applied rewrites1.4%
Taylor expanded in y around inf
Applied rewrites2.3%
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 92.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6492.5
Applied rewrites92.5%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites35.4%
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 2024308
(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))))