
(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 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 t)))
(t_5 (+ t_4 (sqrt t))))
(if (<= z 1.52e+29)
(*
(/
(- (+ (+ (/ 1.0 (+ (sqrt z) t_1)) t_2) t_3) (+ (sqrt y) (sqrt x)))
t_5)
(+
(/ -1.0 (- (+ (+ (sqrt y) (sqrt z)) (sqrt x)) (+ t_3 (+ t_2 t_1))))
t_5))
(-
(-
(+ (exp (asinh (- (sqrt y)))) (exp (asinh (- (sqrt x)))))
(- (sqrt z) t_1))
(- (sqrt t) t_4)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + t));
double t_5 = t_4 + sqrt(t);
double tmp;
if (z <= 1.52e+29) {
tmp = (((((1.0 / (sqrt(z) + t_1)) + t_2) + t_3) - (sqrt(y) + sqrt(x))) / t_5) * ((-1.0 / (((sqrt(y) + sqrt(z)) + sqrt(x)) - (t_3 + (t_2 + t_1)))) + t_5);
} else {
tmp = ((exp(asinh(-sqrt(y))) + exp(asinh(-sqrt(x)))) - (sqrt(z) - t_1)) - (sqrt(t) - t_4);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = math.sqrt((y + 1.0)) t_3 = math.sqrt((x + 1.0)) t_4 = math.sqrt((1.0 + t)) t_5 = t_4 + math.sqrt(t) tmp = 0 if z <= 1.52e+29: tmp = (((((1.0 / (math.sqrt(z) + t_1)) + t_2) + t_3) - (math.sqrt(y) + math.sqrt(x))) / t_5) * ((-1.0 / (((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x)) - (t_3 + (t_2 + t_1)))) + t_5) else: tmp = ((math.exp(math.asinh(-math.sqrt(y))) + math.exp(math.asinh(-math.sqrt(x)))) - (math.sqrt(z) - t_1)) - (math.sqrt(t) - t_4) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + t)) t_5 = Float64(t_4 + sqrt(t)) tmp = 0.0 if (z <= 1.52e+29) tmp = Float64(Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_1)) + t_2) + t_3) - Float64(sqrt(y) + sqrt(x))) / t_5) * Float64(Float64(-1.0 / Float64(Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) - Float64(t_3 + Float64(t_2 + t_1)))) + t_5)); else tmp = Float64(Float64(Float64(exp(asinh(Float64(-sqrt(y)))) + exp(asinh(Float64(-sqrt(x))))) - Float64(sqrt(z) - t_1)) - Float64(sqrt(t) - t_4)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = sqrt((y + 1.0));
t_3 = sqrt((x + 1.0));
t_4 = sqrt((1.0 + t));
t_5 = t_4 + sqrt(t);
tmp = 0.0;
if (z <= 1.52e+29)
tmp = (((((1.0 / (sqrt(z) + t_1)) + t_2) + t_3) - (sqrt(y) + sqrt(x))) / t_5) * ((-1.0 / (((sqrt(y) + sqrt(z)) + sqrt(x)) - (t_3 + (t_2 + t_1)))) + t_5);
else
tmp = ((exp(asinh(-sqrt(y))) + exp(asinh(-sqrt(x)))) - (sqrt(z) - t_1)) - (sqrt(t) - t_4);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $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[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 1.52e+29], N[(N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$5), $MachinePrecision] * N[(N[(-1.0 / N[(N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(t$95$3 + N[(t$95$2 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Exp[N[ArcSinh[(-N[Sqrt[y], $MachinePrecision])], $MachinePrecision]], $MachinePrecision] + N[Exp[N[ArcSinh[(-N[Sqrt[x], $MachinePrecision])], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] - t$95$4), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + t}\\
t_5 := t\_4 + \sqrt{t}\\
\mathbf{if}\;z \leq 1.52 \cdot 10^{+29}:\\
\;\;\;\;\frac{\left(\left(\frac{1}{\sqrt{z} + t\_1} + t\_2\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)}{t\_5} \cdot \left(\frac{-1}{\left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right) - \left(t\_3 + \left(t\_2 + t\_1\right)\right)} + t\_5\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(e^{\sinh^{-1} \left(-\sqrt{y}\right)} + e^{\sinh^{-1} \left(-\sqrt{x}\right)}\right) - \left(\sqrt{z} - t\_1\right)\right) - \left(\sqrt{t} - t\_4\right)\\
\end{array}
\end{array}
if z < 1.52e29Initial program 95.7%
Applied rewrites93.3%
Applied rewrites97.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.7
lift-+.f64N/A
+-commutativeN/A
lift-+.f6497.7
Applied rewrites97.7%
Taylor expanded in x around 0
Applied rewrites35.3%
if 1.52e29 < z Initial program 84.8%
Applied rewrites85.7%
Applied rewrites91.4%
Final simplification60.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (exp (asinh (- (sqrt x)))))
(t_3 (+ (sqrt (+ 1.0 t)) (sqrt t))))
(/
(fma
(- (+ 1.0 t) t)
(/ -1.0 (- (- (sqrt z) t_1) (- t_2 (- (sqrt y) (sqrt (+ y 1.0))))))
t_3)
(*
(/
1.0
(+
(+ (exp (asinh (- (sqrt y)))) t_2)
(/ (- (+ z 1.0) z) (+ (sqrt z) t_1))))
t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = exp(asinh(-sqrt(x)));
double t_3 = sqrt((1.0 + t)) + sqrt(t);
return fma(((1.0 + t) - t), (-1.0 / ((sqrt(z) - t_1) - (t_2 - (sqrt(y) - sqrt((y + 1.0)))))), t_3) / ((1.0 / ((exp(asinh(-sqrt(y))) + t_2) + (((z + 1.0) - z) / (sqrt(z) + t_1)))) * t_3);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = exp(asinh(Float64(-sqrt(x)))) t_3 = Float64(sqrt(Float64(1.0 + t)) + sqrt(t)) return Float64(fma(Float64(Float64(1.0 + t) - t), Float64(-1.0 / Float64(Float64(sqrt(z) - t_1) - Float64(t_2 - Float64(sqrt(y) - sqrt(Float64(y + 1.0)))))), t_3) / Float64(Float64(1.0 / Float64(Float64(exp(asinh(Float64(-sqrt(y)))) + t_2) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1)))) * t_3)) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Exp[N[ArcSinh[(-N[Sqrt[x], $MachinePrecision])], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] * N[(-1.0 / N[(N[(N[Sqrt[z], $MachinePrecision] - t$95$1), $MachinePrecision] - N[(t$95$2 - N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] / N[(N[(1.0 / N[(N[(N[Exp[N[ArcSinh[(-N[Sqrt[y], $MachinePrecision])], $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := e^{\sinh^{-1} \left(-\sqrt{x}\right)}\\
t_3 := \sqrt{1 + t} + \sqrt{t}\\
\frac{\mathsf{fma}\left(\left(1 + t\right) - t, \frac{-1}{\left(\sqrt{z} - t\_1\right) - \left(t\_2 - \left(\sqrt{y} - \sqrt{y + 1}\right)\right)}, t\_3\right)}{\frac{1}{\left(e^{\sinh^{-1} \left(-\sqrt{y}\right)} + t\_2\right) + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1}} \cdot t\_3}
\end{array}
\end{array}
Initial program 90.7%
Applied rewrites89.8%
Applied rewrites94.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6494.9
lift-+.f64N/A
+-commutativeN/A
lift-+.f6494.9
Applied rewrites94.9%
lift-exp.f64N/A
sinh-+-cosh-revN/A
lift-asinh.f64N/A
lift-neg.f64N/A
neg-mul-1N/A
cosh-asinh-revN/A
neg-mul-1N/A
lift-neg.f64N/A
neg-mul-1N/A
lift-neg.f64N/A
lift-neg.f64N/A
lift-neg.f64N/A
sqr-neg-revN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-asinh.f64N/A
Applied rewrites92.8%
Final simplification92.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (sqrt (+ 1.0 t)))
(t_6
(-
(- (- (- t_4 (sqrt x)) (- (sqrt y) t_2)) (- (sqrt z) t_3))
(- (sqrt t) t_5))))
(if (<= t_6 1.0)
(- 1.0 (- t_1 (+ t_2 t_3)))
(if (<= t_6 2.0)
(- (+ t_4 t_2) (+ (sqrt y) (sqrt x)))
(if (<= t_6 3.0)
(- (+ (+ t_2 1.0) t_3) t_1)
(- (+ 3.0 t_5) (+ t_1 (sqrt t))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = (sqrt(y) + sqrt(z)) + sqrt(x);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((z + 1.0));
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((1.0 + t));
double t_6 = (((t_4 - sqrt(x)) - (sqrt(y) - t_2)) - (sqrt(z) - t_3)) - (sqrt(t) - t_5);
double tmp;
if (t_6 <= 1.0) {
tmp = 1.0 - (t_1 - (t_2 + t_3));
} else if (t_6 <= 2.0) {
tmp = (t_4 + t_2) - (sqrt(y) + sqrt(x));
} else if (t_6 <= 3.0) {
tmp = ((t_2 + 1.0) + t_3) - t_1;
} else {
tmp = (3.0 + t_5) - (t_1 + sqrt(t));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = (sqrt(y) + sqrt(z)) + sqrt(x)
t_2 = sqrt((y + 1.0d0))
t_3 = sqrt((z + 1.0d0))
t_4 = sqrt((x + 1.0d0))
t_5 = sqrt((1.0d0 + t))
t_6 = (((t_4 - sqrt(x)) - (sqrt(y) - t_2)) - (sqrt(z) - t_3)) - (sqrt(t) - t_5)
if (t_6 <= 1.0d0) then
tmp = 1.0d0 - (t_1 - (t_2 + t_3))
else if (t_6 <= 2.0d0) then
tmp = (t_4 + t_2) - (sqrt(y) + sqrt(x))
else if (t_6 <= 3.0d0) then
tmp = ((t_2 + 1.0d0) + t_3) - t_1
else
tmp = (3.0d0 + t_5) - (t_1 + sqrt(t))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = (Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x);
double t_2 = Math.sqrt((y + 1.0));
double t_3 = Math.sqrt((z + 1.0));
double t_4 = Math.sqrt((x + 1.0));
double t_5 = Math.sqrt((1.0 + t));
double t_6 = (((t_4 - Math.sqrt(x)) - (Math.sqrt(y) - t_2)) - (Math.sqrt(z) - t_3)) - (Math.sqrt(t) - t_5);
double tmp;
if (t_6 <= 1.0) {
tmp = 1.0 - (t_1 - (t_2 + t_3));
} else if (t_6 <= 2.0) {
tmp = (t_4 + t_2) - (Math.sqrt(y) + Math.sqrt(x));
} else if (t_6 <= 3.0) {
tmp = ((t_2 + 1.0) + t_3) - t_1;
} else {
tmp = (3.0 + t_5) - (t_1 + Math.sqrt(t));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = (math.sqrt(y) + math.sqrt(z)) + math.sqrt(x) t_2 = math.sqrt((y + 1.0)) t_3 = math.sqrt((z + 1.0)) t_4 = math.sqrt((x + 1.0)) t_5 = math.sqrt((1.0 + t)) t_6 = (((t_4 - math.sqrt(x)) - (math.sqrt(y) - t_2)) - (math.sqrt(z) - t_3)) - (math.sqrt(t) - t_5) tmp = 0 if t_6 <= 1.0: tmp = 1.0 - (t_1 - (t_2 + t_3)) elif t_6 <= 2.0: tmp = (t_4 + t_2) - (math.sqrt(y) + math.sqrt(x)) elif t_6 <= 3.0: tmp = ((t_2 + 1.0) + t_3) - t_1 else: tmp = (3.0 + t_5) - (t_1 + math.sqrt(t)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(z + 1.0)) t_4 = sqrt(Float64(x + 1.0)) t_5 = sqrt(Float64(1.0 + t)) t_6 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) - Float64(sqrt(y) - t_2)) - Float64(sqrt(z) - t_3)) - Float64(sqrt(t) - t_5)) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(1.0 - Float64(t_1 - Float64(t_2 + t_3))); elseif (t_6 <= 2.0) tmp = Float64(Float64(t_4 + t_2) - Float64(sqrt(y) + sqrt(x))); elseif (t_6 <= 3.0) tmp = Float64(Float64(Float64(t_2 + 1.0) + t_3) - t_1); else tmp = Float64(Float64(3.0 + t_5) - Float64(t_1 + sqrt(t))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = (sqrt(y) + sqrt(z)) + sqrt(x);
t_2 = sqrt((y + 1.0));
t_3 = sqrt((z + 1.0));
t_4 = sqrt((x + 1.0));
t_5 = sqrt((1.0 + t));
t_6 = (((t_4 - sqrt(x)) - (sqrt(y) - t_2)) - (sqrt(z) - t_3)) - (sqrt(t) - t_5);
tmp = 0.0;
if (t_6 <= 1.0)
tmp = 1.0 - (t_1 - (t_2 + t_3));
elseif (t_6 <= 2.0)
tmp = (t_4 + t_2) - (sqrt(y) + sqrt(x));
elseif (t_6 <= 3.0)
tmp = ((t_2 + 1.0) + t_3) - t_1;
else
tmp = (3.0 + t_5) - (t_1 + sqrt(t));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] - t$95$5), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(1.0 - N[(t$95$1 - N[(t$95$2 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0], N[(N[(t$95$4 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 3.0], N[(N[(N[(t$95$2 + 1.0), $MachinePrecision] + t$95$3), $MachinePrecision] - t$95$1), $MachinePrecision], N[(N[(3.0 + t$95$5), $MachinePrecision] - N[(t$95$1 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{z + 1}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{1 + t}\\
t_6 := \left(\left(\left(t\_4 - \sqrt{x}\right) - \left(\sqrt{y} - t\_2\right)\right) - \left(\sqrt{z} - t\_3\right)\right) - \left(\sqrt{t} - t\_5\right)\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;1 - \left(t\_1 - \left(t\_2 + t\_3\right)\right)\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;\left(t\_4 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_6 \leq 3:\\
\;\;\;\;\left(\left(t\_2 + 1\right) + t\_3\right) - t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(3 + t\_5\right) - \left(t\_1 + \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 73.7%
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.f644.3
Applied rewrites4.3%
Taylor expanded in x around 0
Applied rewrites48.3%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.3%
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.f646.3
Applied rewrites6.3%
Taylor expanded in z around inf
Applied rewrites21.2%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial 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.f6426.2
Applied rewrites26.2%
Taylor expanded in x around 0
Applied rewrites24.5%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites86.7%
Taylor expanded in y around 0
Applied rewrites86.3%
Taylor expanded in z around 0
Applied rewrites74.4%
Final simplification34.4%
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) (sqrt z)) (sqrt x)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (sqrt (+ 1.0 t)))
(t_6
(-
(- (- (- t_4 (sqrt x)) (- (sqrt y) t_2)) (- (sqrt z) t_3))
(- (sqrt t) t_5)))
(t_7 (- 1.0 (- t_1 (+ t_2 t_3)))))
(if (<= t_6 1.0)
t_7
(if (<= t_6 2.0)
(- (+ t_4 t_2) (+ (sqrt y) (sqrt x)))
(if (<= t_6 3.0) t_7 (- (+ 3.0 t_5) (+ t_1 (sqrt t))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = (sqrt(y) + sqrt(z)) + sqrt(x);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((z + 1.0));
double t_4 = sqrt((x + 1.0));
double t_5 = sqrt((1.0 + t));
double t_6 = (((t_4 - sqrt(x)) - (sqrt(y) - t_2)) - (sqrt(z) - t_3)) - (sqrt(t) - t_5);
double t_7 = 1.0 - (t_1 - (t_2 + t_3));
double tmp;
if (t_6 <= 1.0) {
tmp = t_7;
} else if (t_6 <= 2.0) {
tmp = (t_4 + t_2) - (sqrt(y) + sqrt(x));
} else if (t_6 <= 3.0) {
tmp = t_7;
} else {
tmp = (3.0 + t_5) - (t_1 + sqrt(t));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = (sqrt(y) + sqrt(z)) + sqrt(x)
t_2 = sqrt((y + 1.0d0))
t_3 = sqrt((z + 1.0d0))
t_4 = sqrt((x + 1.0d0))
t_5 = sqrt((1.0d0 + t))
t_6 = (((t_4 - sqrt(x)) - (sqrt(y) - t_2)) - (sqrt(z) - t_3)) - (sqrt(t) - t_5)
t_7 = 1.0d0 - (t_1 - (t_2 + t_3))
if (t_6 <= 1.0d0) then
tmp = t_7
else if (t_6 <= 2.0d0) then
tmp = (t_4 + t_2) - (sqrt(y) + sqrt(x))
else if (t_6 <= 3.0d0) then
tmp = t_7
else
tmp = (3.0d0 + t_5) - (t_1 + sqrt(t))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = (Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x);
double t_2 = Math.sqrt((y + 1.0));
double t_3 = Math.sqrt((z + 1.0));
double t_4 = Math.sqrt((x + 1.0));
double t_5 = Math.sqrt((1.0 + t));
double t_6 = (((t_4 - Math.sqrt(x)) - (Math.sqrt(y) - t_2)) - (Math.sqrt(z) - t_3)) - (Math.sqrt(t) - t_5);
double t_7 = 1.0 - (t_1 - (t_2 + t_3));
double tmp;
if (t_6 <= 1.0) {
tmp = t_7;
} else if (t_6 <= 2.0) {
tmp = (t_4 + t_2) - (Math.sqrt(y) + Math.sqrt(x));
} else if (t_6 <= 3.0) {
tmp = t_7;
} else {
tmp = (3.0 + t_5) - (t_1 + Math.sqrt(t));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = (math.sqrt(y) + math.sqrt(z)) + math.sqrt(x) t_2 = math.sqrt((y + 1.0)) t_3 = math.sqrt((z + 1.0)) t_4 = math.sqrt((x + 1.0)) t_5 = math.sqrt((1.0 + t)) t_6 = (((t_4 - math.sqrt(x)) - (math.sqrt(y) - t_2)) - (math.sqrt(z) - t_3)) - (math.sqrt(t) - t_5) t_7 = 1.0 - (t_1 - (t_2 + t_3)) tmp = 0 if t_6 <= 1.0: tmp = t_7 elif t_6 <= 2.0: tmp = (t_4 + t_2) - (math.sqrt(y) + math.sqrt(x)) elif t_6 <= 3.0: tmp = t_7 else: tmp = (3.0 + t_5) - (t_1 + math.sqrt(t)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(z + 1.0)) t_4 = sqrt(Float64(x + 1.0)) t_5 = sqrt(Float64(1.0 + t)) t_6 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) - Float64(sqrt(y) - t_2)) - Float64(sqrt(z) - t_3)) - Float64(sqrt(t) - t_5)) t_7 = Float64(1.0 - Float64(t_1 - Float64(t_2 + t_3))) tmp = 0.0 if (t_6 <= 1.0) tmp = t_7; elseif (t_6 <= 2.0) tmp = Float64(Float64(t_4 + t_2) - Float64(sqrt(y) + sqrt(x))); elseif (t_6 <= 3.0) tmp = t_7; else tmp = Float64(Float64(3.0 + t_5) - Float64(t_1 + sqrt(t))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = (sqrt(y) + sqrt(z)) + sqrt(x);
t_2 = sqrt((y + 1.0));
t_3 = sqrt((z + 1.0));
t_4 = sqrt((x + 1.0));
t_5 = sqrt((1.0 + t));
t_6 = (((t_4 - sqrt(x)) - (sqrt(y) - t_2)) - (sqrt(z) - t_3)) - (sqrt(t) - t_5);
t_7 = 1.0 - (t_1 - (t_2 + t_3));
tmp = 0.0;
if (t_6 <= 1.0)
tmp = t_7;
elseif (t_6 <= 2.0)
tmp = (t_4 + t_2) - (sqrt(y) + sqrt(x));
elseif (t_6 <= 3.0)
tmp = t_7;
else
tmp = (3.0 + t_5) - (t_1 + sqrt(t));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] - t$95$5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(1.0 - N[(t$95$1 - N[(t$95$2 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], t$95$7, If[LessEqual[t$95$6, 2.0], N[(N[(t$95$4 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 3.0], t$95$7, N[(N[(3.0 + t$95$5), $MachinePrecision] - N[(t$95$1 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{z + 1}\\
t_4 := \sqrt{x + 1}\\
t_5 := \sqrt{1 + t}\\
t_6 := \left(\left(\left(t\_4 - \sqrt{x}\right) - \left(\sqrt{y} - t\_2\right)\right) - \left(\sqrt{z} - t\_3\right)\right) - \left(\sqrt{t} - t\_5\right)\\
t_7 := 1 - \left(t\_1 - \left(t\_2 + t\_3\right)\right)\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;t\_7\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;\left(t\_4 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_6 \leq 3:\\
\;\;\;\;t\_7\\
\mathbf{else}:\\
\;\;\;\;\left(3 + t\_5\right) - \left(t\_1 + \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1 or 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial program 85.7%
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.f6416.0
Applied rewrites16.0%
Taylor expanded in x around 0
Applied rewrites39.4%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.3%
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.f646.3
Applied rewrites6.3%
Taylor expanded in z around inf
Applied rewrites21.2%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites86.7%
Taylor expanded in y around 0
Applied rewrites86.3%
Taylor expanded in z around 0
Applied rewrites74.4%
Final simplification36.5%
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 (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (sqrt (+ y 1.0)))
(t_5
(-
(- (- (- t_2 (sqrt x)) (- (sqrt y) t_4)) (- (sqrt z) t_1))
(- (sqrt t) t_3)))
(t_6 (+ (sqrt y) (sqrt z)))
(t_7 (+ (+ t_6 (sqrt x)) (sqrt t))))
(if (<= t_5 1.0)
(+ (- (sqrt t) t_7) 1.0)
(if (<= t_5 2.0)
(- (+ t_2 t_4) (+ (sqrt y) (sqrt x)))
(if (<= t_5 3.0)
(+ (- (- t_1 (sqrt x)) t_6) 2.0)
(- (+ 3.0 t_3) t_7))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + t));
double t_4 = sqrt((y + 1.0));
double t_5 = (((t_2 - sqrt(x)) - (sqrt(y) - t_4)) - (sqrt(z) - t_1)) - (sqrt(t) - t_3);
double t_6 = sqrt(y) + sqrt(z);
double t_7 = (t_6 + sqrt(x)) + sqrt(t);
double tmp;
if (t_5 <= 1.0) {
tmp = (sqrt(t) - t_7) + 1.0;
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (sqrt(y) + sqrt(x));
} else if (t_5 <= 3.0) {
tmp = ((t_1 - sqrt(x)) - t_6) + 2.0;
} else {
tmp = (3.0 + t_3) - t_7;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((1.0d0 + t))
t_4 = sqrt((y + 1.0d0))
t_5 = (((t_2 - sqrt(x)) - (sqrt(y) - t_4)) - (sqrt(z) - t_1)) - (sqrt(t) - t_3)
t_6 = sqrt(y) + sqrt(z)
t_7 = (t_6 + sqrt(x)) + sqrt(t)
if (t_5 <= 1.0d0) then
tmp = (sqrt(t) - t_7) + 1.0d0
else if (t_5 <= 2.0d0) then
tmp = (t_2 + t_4) - (sqrt(y) + sqrt(x))
else if (t_5 <= 3.0d0) then
tmp = ((t_1 - sqrt(x)) - t_6) + 2.0d0
else
tmp = (3.0d0 + t_3) - t_7
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((1.0 + t));
double t_4 = Math.sqrt((y + 1.0));
double t_5 = (((t_2 - Math.sqrt(x)) - (Math.sqrt(y) - t_4)) - (Math.sqrt(z) - t_1)) - (Math.sqrt(t) - t_3);
double t_6 = Math.sqrt(y) + Math.sqrt(z);
double t_7 = (t_6 + Math.sqrt(x)) + Math.sqrt(t);
double tmp;
if (t_5 <= 1.0) {
tmp = (Math.sqrt(t) - t_7) + 1.0;
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (Math.sqrt(y) + Math.sqrt(x));
} else if (t_5 <= 3.0) {
tmp = ((t_1 - Math.sqrt(x)) - t_6) + 2.0;
} else {
tmp = (3.0 + t_3) - t_7;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((1.0 + t)) t_4 = math.sqrt((y + 1.0)) t_5 = (((t_2 - math.sqrt(x)) - (math.sqrt(y) - t_4)) - (math.sqrt(z) - t_1)) - (math.sqrt(t) - t_3) t_6 = math.sqrt(y) + math.sqrt(z) t_7 = (t_6 + math.sqrt(x)) + math.sqrt(t) tmp = 0 if t_5 <= 1.0: tmp = (math.sqrt(t) - t_7) + 1.0 elif t_5 <= 2.0: tmp = (t_2 + t_4) - (math.sqrt(y) + math.sqrt(x)) elif t_5 <= 3.0: tmp = ((t_1 - math.sqrt(x)) - t_6) + 2.0 else: tmp = (3.0 + t_3) - t_7 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(Float64(t_2 - sqrt(x)) - Float64(sqrt(y) - t_4)) - Float64(sqrt(z) - t_1)) - Float64(sqrt(t) - t_3)) t_6 = Float64(sqrt(y) + sqrt(z)) t_7 = Float64(Float64(t_6 + sqrt(x)) + sqrt(t)) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(sqrt(t) - t_7) + 1.0); elseif (t_5 <= 2.0) tmp = Float64(Float64(t_2 + t_4) - Float64(sqrt(y) + sqrt(x))); elseif (t_5 <= 3.0) tmp = Float64(Float64(Float64(t_1 - sqrt(x)) - t_6) + 2.0); else tmp = Float64(Float64(3.0 + t_3) - t_7); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = sqrt((x + 1.0));
t_3 = sqrt((1.0 + t));
t_4 = sqrt((y + 1.0));
t_5 = (((t_2 - sqrt(x)) - (sqrt(y) - t_4)) - (sqrt(z) - t_1)) - (sqrt(t) - t_3);
t_6 = sqrt(y) + sqrt(z);
t_7 = (t_6 + sqrt(x)) + sqrt(t);
tmp = 0.0;
if (t_5 <= 1.0)
tmp = (sqrt(t) - t_7) + 1.0;
elseif (t_5 <= 2.0)
tmp = (t_2 + t_4) - (sqrt(y) + sqrt(x));
elseif (t_5 <= 3.0)
tmp = ((t_1 - sqrt(x)) - t_6) + 2.0;
else
tmp = (3.0 + t_3) - t_7;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$4), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$6 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[Sqrt[t], $MachinePrecision] - t$95$7), $MachinePrecision] + 1.0), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(t$95$2 + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 3.0], N[(N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] + 2.0), $MachinePrecision], N[(N[(3.0 + t$95$3), $MachinePrecision] - t$95$7), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + t}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(\left(t\_2 - \sqrt{x}\right) - \left(\sqrt{y} - t\_4\right)\right) - \left(\sqrt{z} - t\_1\right)\right) - \left(\sqrt{t} - t\_3\right)\\
t_6 := \sqrt{y} + \sqrt{z}\\
t_7 := \left(t\_6 + \sqrt{x}\right) + \sqrt{t}\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\sqrt{t} - t\_7\right) + 1\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(t\_2 + t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_5 \leq 3:\\
\;\;\;\;\left(\left(t\_1 - \sqrt{x}\right) - t\_6\right) + 2\\
\mathbf{else}:\\
\;\;\;\;\left(3 + t\_3\right) - t\_7\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 73.7%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites53.9%
Taylor expanded in t around inf
Applied rewrites18.5%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.3%
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.f646.3
Applied rewrites6.3%
Taylor expanded in z around inf
Applied rewrites21.2%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial program 96.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites18.2%
Taylor expanded in y around 0
Applied rewrites16.5%
Taylor expanded in t around inf
Applied rewrites25.3%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites86.7%
Taylor expanded in y around 0
Applied rewrites86.3%
Taylor expanded in z around 0
Applied rewrites74.4%
Final simplification26.9%
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 (+ x 1.0)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (sqrt (+ z 1.0)))
(t_5 (- (sqrt z) t_4))
(t_6 (- (sqrt y) t_2))
(t_7 (- (- (- t_1 (sqrt x)) t_6) t_5))
(t_8 (- (sqrt t) t_3)))
(if (<= t_7 0.0)
(- (- (- (/ 0.5 (sqrt x)) t_6) t_5) t_8)
(if (<= t_7 1.0002)
(-
(- (+ (* (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) 0.5) t_1) (sqrt x))
t_8)
(if (<= t_7 2.002)
(- (- (/ 0.5 (sqrt z)) (- (+ (sqrt y) (sqrt x)) (+ t_1 t_2))) t_8)
(+
(-
(+ (+ (/ 1.0 (+ t_3 (sqrt t))) t_4) t_2)
(+ (+ (sqrt y) (sqrt z)) (sqrt x)))
1.0))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((1.0 + t));
double t_4 = sqrt((z + 1.0));
double t_5 = sqrt(z) - t_4;
double t_6 = sqrt(y) - t_2;
double t_7 = ((t_1 - sqrt(x)) - t_6) - t_5;
double t_8 = sqrt(t) - t_3;
double tmp;
if (t_7 <= 0.0) {
tmp = (((0.5 / sqrt(x)) - t_6) - t_5) - t_8;
} else if (t_7 <= 1.0002) {
tmp = ((((sqrt((1.0 / z)) + sqrt((1.0 / y))) * 0.5) + t_1) - sqrt(x)) - t_8;
} else if (t_7 <= 2.002) {
tmp = ((0.5 / sqrt(z)) - ((sqrt(y) + sqrt(x)) - (t_1 + t_2))) - t_8;
} else {
tmp = ((((1.0 / (t_3 + sqrt(t))) + t_4) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: t_8
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((y + 1.0d0))
t_3 = sqrt((1.0d0 + t))
t_4 = sqrt((z + 1.0d0))
t_5 = sqrt(z) - t_4
t_6 = sqrt(y) - t_2
t_7 = ((t_1 - sqrt(x)) - t_6) - t_5
t_8 = sqrt(t) - t_3
if (t_7 <= 0.0d0) then
tmp = (((0.5d0 / sqrt(x)) - t_6) - t_5) - t_8
else if (t_7 <= 1.0002d0) then
tmp = ((((sqrt((1.0d0 / z)) + sqrt((1.0d0 / y))) * 0.5d0) + t_1) - sqrt(x)) - t_8
else if (t_7 <= 2.002d0) then
tmp = ((0.5d0 / sqrt(z)) - ((sqrt(y) + sqrt(x)) - (t_1 + t_2))) - t_8
else
tmp = ((((1.0d0 / (t_3 + sqrt(t))) + t_4) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt((y + 1.0));
double t_3 = Math.sqrt((1.0 + t));
double t_4 = Math.sqrt((z + 1.0));
double t_5 = Math.sqrt(z) - t_4;
double t_6 = Math.sqrt(y) - t_2;
double t_7 = ((t_1 - Math.sqrt(x)) - t_6) - t_5;
double t_8 = Math.sqrt(t) - t_3;
double tmp;
if (t_7 <= 0.0) {
tmp = (((0.5 / Math.sqrt(x)) - t_6) - t_5) - t_8;
} else if (t_7 <= 1.0002) {
tmp = ((((Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / y))) * 0.5) + t_1) - Math.sqrt(x)) - t_8;
} else if (t_7 <= 2.002) {
tmp = ((0.5 / Math.sqrt(z)) - ((Math.sqrt(y) + Math.sqrt(x)) - (t_1 + t_2))) - t_8;
} else {
tmp = ((((1.0 / (t_3 + Math.sqrt(t))) + t_4) + t_2) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt((y + 1.0)) t_3 = math.sqrt((1.0 + t)) t_4 = math.sqrt((z + 1.0)) t_5 = math.sqrt(z) - t_4 t_6 = math.sqrt(y) - t_2 t_7 = ((t_1 - math.sqrt(x)) - t_6) - t_5 t_8 = math.sqrt(t) - t_3 tmp = 0 if t_7 <= 0.0: tmp = (((0.5 / math.sqrt(x)) - t_6) - t_5) - t_8 elif t_7 <= 1.0002: tmp = ((((math.sqrt((1.0 / z)) + math.sqrt((1.0 / y))) * 0.5) + t_1) - math.sqrt(x)) - t_8 elif t_7 <= 2.002: tmp = ((0.5 / math.sqrt(z)) - ((math.sqrt(y) + math.sqrt(x)) - (t_1 + t_2))) - t_8 else: tmp = ((((1.0 / (t_3 + math.sqrt(t))) + t_4) + t_2) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(1.0 + t)) t_4 = sqrt(Float64(z + 1.0)) t_5 = Float64(sqrt(z) - t_4) t_6 = Float64(sqrt(y) - t_2) t_7 = Float64(Float64(Float64(t_1 - sqrt(x)) - t_6) - t_5) t_8 = Float64(sqrt(t) - t_3) tmp = 0.0 if (t_7 <= 0.0) tmp = Float64(Float64(Float64(Float64(0.5 / sqrt(x)) - t_6) - t_5) - t_8); elseif (t_7 <= 1.0002) tmp = Float64(Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))) * 0.5) + t_1) - sqrt(x)) - t_8); elseif (t_7 <= 2.002) tmp = Float64(Float64(Float64(0.5 / sqrt(z)) - Float64(Float64(sqrt(y) + sqrt(x)) - Float64(t_1 + t_2))) - t_8); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(t_3 + sqrt(t))) + t_4) + t_2) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = sqrt((y + 1.0));
t_3 = sqrt((1.0 + t));
t_4 = sqrt((z + 1.0));
t_5 = sqrt(z) - t_4;
t_6 = sqrt(y) - t_2;
t_7 = ((t_1 - sqrt(x)) - t_6) - t_5;
t_8 = sqrt(t) - t_3;
tmp = 0.0;
if (t_7 <= 0.0)
tmp = (((0.5 / sqrt(x)) - t_6) - t_5) - t_8;
elseif (t_7 <= 1.0002)
tmp = ((((sqrt((1.0 / z)) + sqrt((1.0 / y))) * 0.5) + t_1) - sqrt(x)) - t_8;
elseif (t_7 <= 2.002)
tmp = ((0.5 / sqrt(z)) - ((sqrt(y) + sqrt(x)) - (t_1 + t_2))) - t_8;
else
tmp = ((((1.0 / (t_3 + sqrt(t))) + t_4) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[z], $MachinePrecision] - t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] - t$95$2), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] - t$95$5), $MachinePrecision]}, Block[{t$95$8 = N[(N[Sqrt[t], $MachinePrecision] - t$95$3), $MachinePrecision]}, If[LessEqual[t$95$7, 0.0], N[(N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] - t$95$5), $MachinePrecision] - t$95$8), $MachinePrecision], If[LessEqual[t$95$7, 1.0002], N[(N[(N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$8), $MachinePrecision], If[LessEqual[t$95$7, 2.002], N[(N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(t$95$1 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$8), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(t$95$3 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{1 + t}\\
t_4 := \sqrt{z + 1}\\
t_5 := \sqrt{z} - t\_4\\
t_6 := \sqrt{y} - t\_2\\
t_7 := \left(\left(t\_1 - \sqrt{x}\right) - t\_6\right) - t\_5\\
t_8 := \sqrt{t} - t\_3\\
\mathbf{if}\;t\_7 \leq 0:\\
\;\;\;\;\left(\left(\frac{0.5}{\sqrt{x}} - t\_6\right) - t\_5\right) - t\_8\\
\mathbf{elif}\;t\_7 \leq 1.0002:\\
\;\;\;\;\left(\left(\left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_1\right) - \sqrt{x}\right) - t\_8\\
\mathbf{elif}\;t\_7 \leq 2.002:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{z}} - \left(\left(\sqrt{y} + \sqrt{x}\right) - \left(t\_1 + t\_2\right)\right)\right) - t\_8\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{t\_3 + \sqrt{t}} + t\_4\right) + t\_2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 38.9%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6455.7
Applied rewrites55.7%
Applied rewrites55.7%
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))) < 1.0002Initial program 96.1%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.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
lower-sqrt.f64N/A
lower-sqrt.f6417.1
Applied rewrites17.1%
Taylor expanded in y around inf
Applied rewrites44.0%
if 1.0002 < (+.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))) < 2.0019999999999998Initial program 96.1%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.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
lower-sqrt.f64N/A
lower-sqrt.f6442.1
Applied rewrites42.1%
Applied rewrites41.5%
if 2.0019999999999998 < (+.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 98.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.3
Applied rewrites99.3%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites95.9%
Final simplification51.6%
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 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 t)))
(t_5 (- (sqrt t) t_4))
(t_6 (- (sqrt y) t_1))
(t_7 (- (- (- (- t_3 (sqrt x)) t_6) (- (sqrt z) t_2)) t_5)))
(if (<= t_7 1.0)
(- (- t_3 (+ t_6 (sqrt x))) t_5)
(if (<= t_7 3.0)
(- (+ (+ (/ 1.0 (+ (sqrt z) t_2)) t_1) t_3) (+ (sqrt y) (sqrt x)))
(-
1.0
(-
(+ (+ (+ (sqrt y) (sqrt z)) (sqrt x)) (sqrt t))
(+ (+ t_1 t_2) t_4)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + t));
double t_5 = sqrt(t) - t_4;
double t_6 = sqrt(y) - t_1;
double t_7 = (((t_3 - sqrt(x)) - t_6) - (sqrt(z) - t_2)) - t_5;
double tmp;
if (t_7 <= 1.0) {
tmp = (t_3 - (t_6 + sqrt(x))) - t_5;
} else if (t_7 <= 3.0) {
tmp = (((1.0 / (sqrt(z) + t_2)) + t_1) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = 1.0 - ((((sqrt(y) + sqrt(z)) + sqrt(x)) + sqrt(t)) - ((t_1 + t_2) + t_4));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt((x + 1.0d0))
t_4 = sqrt((1.0d0 + t))
t_5 = sqrt(t) - t_4
t_6 = sqrt(y) - t_1
t_7 = (((t_3 - sqrt(x)) - t_6) - (sqrt(z) - t_2)) - t_5
if (t_7 <= 1.0d0) then
tmp = (t_3 - (t_6 + sqrt(x))) - t_5
else if (t_7 <= 3.0d0) then
tmp = (((1.0d0 / (sqrt(z) + t_2)) + t_1) + t_3) - (sqrt(y) + sqrt(x))
else
tmp = 1.0d0 - ((((sqrt(y) + sqrt(z)) + sqrt(x)) + sqrt(t)) - ((t_1 + t_2) + t_4))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt((x + 1.0));
double t_4 = Math.sqrt((1.0 + t));
double t_5 = Math.sqrt(t) - t_4;
double t_6 = Math.sqrt(y) - t_1;
double t_7 = (((t_3 - Math.sqrt(x)) - t_6) - (Math.sqrt(z) - t_2)) - t_5;
double tmp;
if (t_7 <= 1.0) {
tmp = (t_3 - (t_6 + Math.sqrt(x))) - t_5;
} else if (t_7 <= 3.0) {
tmp = (((1.0 / (Math.sqrt(z) + t_2)) + t_1) + t_3) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = 1.0 - ((((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x)) + Math.sqrt(t)) - ((t_1 + t_2) + t_4));
}
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((z + 1.0)) t_3 = math.sqrt((x + 1.0)) t_4 = math.sqrt((1.0 + t)) t_5 = math.sqrt(t) - t_4 t_6 = math.sqrt(y) - t_1 t_7 = (((t_3 - math.sqrt(x)) - t_6) - (math.sqrt(z) - t_2)) - t_5 tmp = 0 if t_7 <= 1.0: tmp = (t_3 - (t_6 + math.sqrt(x))) - t_5 elif t_7 <= 3.0: tmp = (((1.0 / (math.sqrt(z) + t_2)) + t_1) + t_3) - (math.sqrt(y) + math.sqrt(x)) else: tmp = 1.0 - ((((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x)) + math.sqrt(t)) - ((t_1 + t_2) + t_4)) 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(z + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + t)) t_5 = Float64(sqrt(t) - t_4) t_6 = Float64(sqrt(y) - t_1) t_7 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) - t_6) - Float64(sqrt(z) - t_2)) - t_5) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(Float64(t_3 - Float64(t_6 + sqrt(x))) - t_5); elseif (t_7 <= 3.0) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_2)) + t_1) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(1.0 - Float64(Float64(Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) + sqrt(t)) - Float64(Float64(t_1 + t_2) + t_4))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((z + 1.0));
t_3 = sqrt((x + 1.0));
t_4 = sqrt((1.0 + t));
t_5 = sqrt(t) - t_4;
t_6 = sqrt(y) - t_1;
t_7 = (((t_3 - sqrt(x)) - t_6) - (sqrt(z) - t_2)) - t_5;
tmp = 0.0;
if (t_7 <= 1.0)
tmp = (t_3 - (t_6 + sqrt(x))) - t_5;
elseif (t_7 <= 3.0)
tmp = (((1.0 / (sqrt(z) + t_2)) + t_1) + t_3) - (sqrt(y) + sqrt(x));
else
tmp = 1.0 - ((((sqrt(y) + sqrt(z)) + sqrt(x)) + sqrt(t)) - ((t_1 + t_2) + t_4));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[t], $MachinePrecision] - t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(N[(t$95$3 - N[(t$95$6 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 3.0], N[(N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 - N[(N[(N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision] - N[(N[(t$95$1 + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + t}\\
t_5 := \sqrt{t} - t\_4\\
t_6 := \sqrt{y} - t\_1\\
t_7 := \left(\left(\left(t\_3 - \sqrt{x}\right) - t\_6\right) - \left(\sqrt{z} - t\_2\right)\right) - t\_5\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;\left(t\_3 - \left(t\_6 + \sqrt{x}\right)\right) - t\_5\\
\mathbf{elif}\;t\_7 \leq 3:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{z} + t\_2} + t\_1\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;1 - \left(\left(\left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right) + \sqrt{t}\right) - \left(\left(t\_1 + t\_2\right) + t\_4\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 73.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
sub-negN/A
associate-+l+N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-prodN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
neg-mul-1N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites29.2%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6443.3
Applied rewrites43.3%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial program 96.8%
Applied rewrites95.2%
Applied rewrites98.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.6
lift-+.f64N/A
+-commutativeN/A
lift-+.f6498.6
Applied rewrites98.6%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites25.9%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites86.7%
Final simplification36.3%
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 (+ y 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 t)))
(t_5 (- (sqrt t) t_4))
(t_6 (- (sqrt y) t_1))
(t_7 (- (- (- (- t_3 (sqrt x)) t_6) (- (sqrt z) t_2)) t_5)))
(if (<= t_7 1.0)
(- (- t_3 (+ t_6 (sqrt x))) t_5)
(if (<= t_7 3.0)
(- (+ (+ (/ 1.0 (+ (sqrt z) t_2)) t_1) t_3) (+ (sqrt y) (sqrt x)))
(-
(+ (fma 0.5 z t_4) 3.0)
(+ (+ (+ (sqrt y) (sqrt z)) (sqrt x)) (sqrt t)))))))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((z + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + t));
double t_5 = sqrt(t) - t_4;
double t_6 = sqrt(y) - t_1;
double t_7 = (((t_3 - sqrt(x)) - t_6) - (sqrt(z) - t_2)) - t_5;
double tmp;
if (t_7 <= 1.0) {
tmp = (t_3 - (t_6 + sqrt(x))) - t_5;
} else if (t_7 <= 3.0) {
tmp = (((1.0 / (sqrt(z) + t_2)) + t_1) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = (fma(0.5, z, t_4) + 3.0) - (((sqrt(y) + sqrt(z)) + sqrt(x)) + sqrt(t));
}
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(z + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + t)) t_5 = Float64(sqrt(t) - t_4) t_6 = Float64(sqrt(y) - t_1) t_7 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) - t_6) - Float64(sqrt(z) - t_2)) - t_5) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(Float64(t_3 - Float64(t_6 + sqrt(x))) - t_5); elseif (t_7 <= 3.0) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(z) + t_2)) + t_1) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(fma(0.5, z, t_4) + 3.0) - Float64(Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) + sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[t], $MachinePrecision] - t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(N[(t$95$3 - N[(t$95$6 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 3.0], N[(N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * z + t$95$4), $MachinePrecision] + 3.0), $MachinePrecision] - N[(N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $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 + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + t}\\
t_5 := \sqrt{t} - t\_4\\
t_6 := \sqrt{y} - t\_1\\
t_7 := \left(\left(\left(t\_3 - \sqrt{x}\right) - t\_6\right) - \left(\sqrt{z} - t\_2\right)\right) - t\_5\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;\left(t\_3 - \left(t\_6 + \sqrt{x}\right)\right) - t\_5\\
\mathbf{elif}\;t\_7 \leq 3:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{z} + t\_2} + t\_1\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, z, t\_4\right) + 3\right) - \left(\left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right) + \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 73.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
sub-negN/A
associate-+l+N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-prodN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
neg-mul-1N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites29.2%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6443.3
Applied rewrites43.3%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial program 96.8%
Applied rewrites95.2%
Applied rewrites98.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.6
lift-+.f64N/A
+-commutativeN/A
lift-+.f6498.6
Applied rewrites98.6%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites25.9%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites86.7%
Taylor expanded in y around 0
Applied rewrites86.3%
Taylor expanded in z around 0
Applied rewrites76.8%
Final simplification35.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
(t_4 (sqrt (+ 1.0 t)))
(t_5 (- (sqrt t) t_4))
(t_6 (- (sqrt y) (sqrt (+ y 1.0))))
(t_7 (- (- (- (- t_2 (sqrt x)) t_6) (- (sqrt z) t_1)) t_5)))
(if (<= t_7 2.0)
(- (- t_2 (+ t_6 (sqrt x))) t_5)
(if (<= t_7 3.002)
(+ (- (fma (sqrt (/ 1.0 t)) 0.5 t_1) t_3) 2.0)
(- (+ (fma 0.5 z t_4) 3.0) (+ t_3 (sqrt t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = (sqrt(y) + sqrt(z)) + sqrt(x);
double t_4 = sqrt((1.0 + t));
double t_5 = sqrt(t) - t_4;
double t_6 = sqrt(y) - sqrt((y + 1.0));
double t_7 = (((t_2 - sqrt(x)) - t_6) - (sqrt(z) - t_1)) - t_5;
double tmp;
if (t_7 <= 2.0) {
tmp = (t_2 - (t_6 + sqrt(x))) - t_5;
} else if (t_7 <= 3.002) {
tmp = (fma(sqrt((1.0 / t)), 0.5, t_1) - t_3) + 2.0;
} else {
tmp = (fma(0.5, z, t_4) + 3.0) - (t_3 + sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) t_4 = sqrt(Float64(1.0 + t)) t_5 = Float64(sqrt(t) - t_4) t_6 = Float64(sqrt(y) - sqrt(Float64(y + 1.0))) t_7 = Float64(Float64(Float64(Float64(t_2 - sqrt(x)) - t_6) - Float64(sqrt(z) - t_1)) - t_5) tmp = 0.0 if (t_7 <= 2.0) tmp = Float64(Float64(t_2 - Float64(t_6 + sqrt(x))) - t_5); elseif (t_7 <= 3.002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / t)), 0.5, t_1) - t_3) + 2.0); else tmp = Float64(Float64(fma(0.5, z, t_4) + 3.0) - Float64(t_3 + sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[t], $MachinePrecision] - t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision]}, If[LessEqual[t$95$7, 2.0], N[(N[(t$95$2 - N[(t$95$6 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 3.002], N[(N[(N[(N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - t$95$3), $MachinePrecision] + 2.0), $MachinePrecision], N[(N[(N[(0.5 * z + t$95$4), $MachinePrecision] + 3.0), $MachinePrecision] - N[(t$95$3 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\\
t_4 := \sqrt{1 + t}\\
t_5 := \sqrt{t} - t\_4\\
t_6 := \sqrt{y} - \sqrt{y + 1}\\
t_7 := \left(\left(\left(t\_2 - \sqrt{x}\right) - t\_6\right) - \left(\sqrt{z} - t\_1\right)\right) - t\_5\\
\mathbf{if}\;t\_7 \leq 2:\\
\;\;\;\;\left(t\_2 - \left(t\_6 + \sqrt{x}\right)\right) - t\_5\\
\mathbf{elif}\;t\_7 \leq 3.002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{t}}, 0.5, t\_1\right) - t\_3\right) + 2\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, z, t\_4\right) + 3\right) - \left(t\_3 + \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 87.2%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
sub-negN/A
associate-+l+N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-prodN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
neg-mul-1N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites42.8%
Taylor expanded in z around inf
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6443.3
Applied rewrites43.3%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.0019999999999998Initial program 95.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites20.0%
Taylor expanded in y around 0
Applied rewrites18.4%
Taylor expanded in t around inf
Applied rewrites24.1%
if 3.0019999999999998 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.2%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites92.7%
Taylor expanded in y around 0
Applied rewrites92.3%
Taylor expanded in z around 0
Applied rewrites86.9%
Final simplification40.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (- (sqrt t) t_3))
(t_5 (- (sqrt y) (sqrt (+ y 1.0))))
(t_6
(- (- (- (- (sqrt (+ x 1.0)) (sqrt x)) t_5) (- (sqrt z) t_1)) t_4)))
(if (<= t_6 2.0)
(- (- 1.0 (+ t_5 (sqrt x))) t_4)
(if (<= t_6 3.002)
(+ (- (fma (sqrt (/ 1.0 t)) 0.5 t_1) t_2) 2.0)
(- (+ (fma 0.5 z t_3) 3.0) (+ t_2 (sqrt t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = (sqrt(y) + sqrt(z)) + sqrt(x);
double t_3 = sqrt((1.0 + t));
double t_4 = sqrt(t) - t_3;
double t_5 = sqrt(y) - sqrt((y + 1.0));
double t_6 = (((sqrt((x + 1.0)) - sqrt(x)) - t_5) - (sqrt(z) - t_1)) - t_4;
double tmp;
if (t_6 <= 2.0) {
tmp = (1.0 - (t_5 + sqrt(x))) - t_4;
} else if (t_6 <= 3.002) {
tmp = (fma(sqrt((1.0 / t)), 0.5, t_1) - t_2) + 2.0;
} else {
tmp = (fma(0.5, z, t_3) + 3.0) - (t_2 + sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) t_3 = sqrt(Float64(1.0 + t)) t_4 = Float64(sqrt(t) - t_3) t_5 = Float64(sqrt(y) - sqrt(Float64(y + 1.0))) t_6 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) - t_5) - Float64(sqrt(z) - t_1)) - t_4) tmp = 0.0 if (t_6 <= 2.0) tmp = Float64(Float64(1.0 - Float64(t_5 + sqrt(x))) - t_4); elseif (t_6 <= 3.002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / t)), 0.5, t_1) - t_2) + 2.0); else tmp = Float64(Float64(fma(0.5, z, t_3) + 3.0) - Float64(t_2 + sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[t], $MachinePrecision] - t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision]}, If[LessEqual[t$95$6, 2.0], N[(N[(1.0 - N[(t$95$5 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 3.002], N[(N[(N[(N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - t$95$2), $MachinePrecision] + 2.0), $MachinePrecision], N[(N[(N[(0.5 * z + t$95$3), $MachinePrecision] + 3.0), $MachinePrecision] - N[(t$95$2 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\\
t_3 := \sqrt{1 + t}\\
t_4 := \sqrt{t} - t\_3\\
t_5 := \sqrt{y} - \sqrt{y + 1}\\
t_6 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) - t\_5\right) - \left(\sqrt{z} - t\_1\right)\right) - t\_4\\
\mathbf{if}\;t\_6 \leq 2:\\
\;\;\;\;\left(1 - \left(t\_5 + \sqrt{x}\right)\right) - t\_4\\
\mathbf{elif}\;t\_6 \leq 3.002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{t}}, 0.5, t\_1\right) - t\_2\right) + 2\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, z, t\_3\right) + 3\right) - \left(t\_2 + \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 87.2%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
sub-negN/A
associate-+l+N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-prodN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
neg-mul-1N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites42.8%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.7
Applied rewrites6.7%
Taylor expanded in z around inf
Applied rewrites30.6%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.0019999999999998Initial program 95.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites20.0%
Taylor expanded in y around 0
Applied rewrites18.4%
Taylor expanded in t around inf
Applied rewrites24.1%
if 3.0019999999999998 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.2%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites92.7%
Taylor expanded in y around 0
Applied rewrites92.3%
Taylor expanded in z around 0
Applied rewrites86.9%
Final simplification33.2%
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 (+ y 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
(t_4 (sqrt (+ 1.0 t)))
(t_5 (- (sqrt t) t_4))
(t_6 (- (sqrt y) t_1))
(t_7
(- (- (- (- (sqrt (+ x 1.0)) (sqrt x)) t_6) (- (sqrt z) t_2)) t_5)))
(if (<= t_7 2.0)
(- (- 1.0 (+ t_6 (sqrt x))) t_5)
(if (<= t_7 3.0)
(- (+ (+ t_1 1.0) t_2) t_3)
(- (+ (fma 0.5 z t_4) 3.0) (+ t_3 (sqrt t)))))))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((z + 1.0));
double t_3 = (sqrt(y) + sqrt(z)) + sqrt(x);
double t_4 = sqrt((1.0 + t));
double t_5 = sqrt(t) - t_4;
double t_6 = sqrt(y) - t_1;
double t_7 = (((sqrt((x + 1.0)) - sqrt(x)) - t_6) - (sqrt(z) - t_2)) - t_5;
double tmp;
if (t_7 <= 2.0) {
tmp = (1.0 - (t_6 + sqrt(x))) - t_5;
} else if (t_7 <= 3.0) {
tmp = ((t_1 + 1.0) + t_2) - t_3;
} else {
tmp = (fma(0.5, z, t_4) + 3.0) - (t_3 + sqrt(t));
}
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(z + 1.0)) t_3 = Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) t_4 = sqrt(Float64(1.0 + t)) t_5 = Float64(sqrt(t) - t_4) t_6 = Float64(sqrt(y) - t_1) t_7 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) - t_6) - Float64(sqrt(z) - t_2)) - t_5) tmp = 0.0 if (t_7 <= 2.0) tmp = Float64(Float64(1.0 - Float64(t_6 + sqrt(x))) - t_5); elseif (t_7 <= 3.0) tmp = Float64(Float64(Float64(t_1 + 1.0) + t_2) - t_3); else tmp = Float64(Float64(fma(0.5, z, t_4) + 3.0) - Float64(t_3 + sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[t], $MachinePrecision] - t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision]}, If[LessEqual[t$95$7, 2.0], N[(N[(1.0 - N[(t$95$6 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 3.0], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - t$95$3), $MachinePrecision], N[(N[(N[(0.5 * z + t$95$4), $MachinePrecision] + 3.0), $MachinePrecision] - N[(t$95$3 + 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 + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\\
t_4 := \sqrt{1 + t}\\
t_5 := \sqrt{t} - t\_4\\
t_6 := \sqrt{y} - t\_1\\
t_7 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) - t\_6\right) - \left(\sqrt{z} - t\_2\right)\right) - t\_5\\
\mathbf{if}\;t\_7 \leq 2:\\
\;\;\;\;\left(1 - \left(t\_6 + \sqrt{x}\right)\right) - t\_5\\
\mathbf{elif}\;t\_7 \leq 3:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_2\right) - t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, z, t\_4\right) + 3\right) - \left(t\_3 + \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 87.2%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
sub-negN/A
associate-+l+N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-prodN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
neg-mul-1N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites42.8%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.7
Applied rewrites6.7%
Taylor expanded in z around inf
Applied rewrites30.6%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial 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.f6426.2
Applied rewrites26.2%
Taylor expanded in x around 0
Applied rewrites24.5%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites86.7%
Taylor expanded in y around 0
Applied rewrites86.3%
Taylor expanded in z around 0
Applied rewrites76.8%
Final simplification33.3%
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 (+ y 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
(t_4 (sqrt (+ 1.0 t)))
(t_5 (- (sqrt t) t_4))
(t_6 (- (sqrt y) t_1))
(t_7
(- (- (- (- (sqrt (+ x 1.0)) (sqrt x)) t_6) (- (sqrt z) t_2)) t_5)))
(if (<= t_7 2.0)
(- (- 1.0 (+ t_6 (sqrt x))) t_5)
(if (<= t_7 3.0)
(- (+ (+ t_1 1.0) t_2) t_3)
(- (+ 3.0 t_4) (+ t_3 (sqrt t)))))))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((z + 1.0));
double t_3 = (sqrt(y) + sqrt(z)) + sqrt(x);
double t_4 = sqrt((1.0 + t));
double t_5 = sqrt(t) - t_4;
double t_6 = sqrt(y) - t_1;
double t_7 = (((sqrt((x + 1.0)) - sqrt(x)) - t_6) - (sqrt(z) - t_2)) - t_5;
double tmp;
if (t_7 <= 2.0) {
tmp = (1.0 - (t_6 + sqrt(x))) - t_5;
} else if (t_7 <= 3.0) {
tmp = ((t_1 + 1.0) + t_2) - t_3;
} else {
tmp = (3.0 + t_4) - (t_3 + sqrt(t));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((z + 1.0d0))
t_3 = (sqrt(y) + sqrt(z)) + sqrt(x)
t_4 = sqrt((1.0d0 + t))
t_5 = sqrt(t) - t_4
t_6 = sqrt(y) - t_1
t_7 = (((sqrt((x + 1.0d0)) - sqrt(x)) - t_6) - (sqrt(z) - t_2)) - t_5
if (t_7 <= 2.0d0) then
tmp = (1.0d0 - (t_6 + sqrt(x))) - t_5
else if (t_7 <= 3.0d0) then
tmp = ((t_1 + 1.0d0) + t_2) - t_3
else
tmp = (3.0d0 + t_4) - (t_3 + sqrt(t))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = (Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x);
double t_4 = Math.sqrt((1.0 + t));
double t_5 = Math.sqrt(t) - t_4;
double t_6 = Math.sqrt(y) - t_1;
double t_7 = (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) - t_6) - (Math.sqrt(z) - t_2)) - t_5;
double tmp;
if (t_7 <= 2.0) {
tmp = (1.0 - (t_6 + Math.sqrt(x))) - t_5;
} else if (t_7 <= 3.0) {
tmp = ((t_1 + 1.0) + t_2) - t_3;
} else {
tmp = (3.0 + t_4) - (t_3 + Math.sqrt(t));
}
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((z + 1.0)) t_3 = (math.sqrt(y) + math.sqrt(z)) + math.sqrt(x) t_4 = math.sqrt((1.0 + t)) t_5 = math.sqrt(t) - t_4 t_6 = math.sqrt(y) - t_1 t_7 = (((math.sqrt((x + 1.0)) - math.sqrt(x)) - t_6) - (math.sqrt(z) - t_2)) - t_5 tmp = 0 if t_7 <= 2.0: tmp = (1.0 - (t_6 + math.sqrt(x))) - t_5 elif t_7 <= 3.0: tmp = ((t_1 + 1.0) + t_2) - t_3 else: tmp = (3.0 + t_4) - (t_3 + math.sqrt(t)) 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(z + 1.0)) t_3 = Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x)) t_4 = sqrt(Float64(1.0 + t)) t_5 = Float64(sqrt(t) - t_4) t_6 = Float64(sqrt(y) - t_1) t_7 = Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) - t_6) - Float64(sqrt(z) - t_2)) - t_5) tmp = 0.0 if (t_7 <= 2.0) tmp = Float64(Float64(1.0 - Float64(t_6 + sqrt(x))) - t_5); elseif (t_7 <= 3.0) tmp = Float64(Float64(Float64(t_1 + 1.0) + t_2) - t_3); else tmp = Float64(Float64(3.0 + t_4) - Float64(t_3 + sqrt(t))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((z + 1.0));
t_3 = (sqrt(y) + sqrt(z)) + sqrt(x);
t_4 = sqrt((1.0 + t));
t_5 = sqrt(t) - t_4;
t_6 = sqrt(y) - t_1;
t_7 = (((sqrt((x + 1.0)) - sqrt(x)) - t_6) - (sqrt(z) - t_2)) - t_5;
tmp = 0.0;
if (t_7 <= 2.0)
tmp = (1.0 - (t_6 + sqrt(x))) - t_5;
elseif (t_7 <= 3.0)
tmp = ((t_1 + 1.0) + t_2) - t_3;
else
tmp = (3.0 + t_4) - (t_3 + sqrt(t));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[t], $MachinePrecision] - t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision]}, If[LessEqual[t$95$7, 2.0], N[(N[(1.0 - N[(t$95$6 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 3.0], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - t$95$3), $MachinePrecision], N[(N[(3.0 + t$95$4), $MachinePrecision] - N[(t$95$3 + 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 + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\\
t_4 := \sqrt{1 + t}\\
t_5 := \sqrt{t} - t\_4\\
t_6 := \sqrt{y} - t\_1\\
t_7 := \left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) - t\_6\right) - \left(\sqrt{z} - t\_2\right)\right) - t\_5\\
\mathbf{if}\;t\_7 \leq 2:\\
\;\;\;\;\left(1 - \left(t\_6 + \sqrt{x}\right)\right) - t\_5\\
\mathbf{elif}\;t\_7 \leq 3:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_2\right) - t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(3 + t\_4\right) - \left(t\_3 + \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 87.2%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
sub-negN/A
associate-+l+N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-prodN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
neg-mul-1N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites42.8%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.7
Applied rewrites6.7%
Taylor expanded in z around inf
Applied rewrites30.6%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial 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.f6426.2
Applied rewrites26.2%
Taylor expanded in x around 0
Applied rewrites24.5%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 95.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites86.7%
Taylor expanded in y around 0
Applied rewrites86.3%
Taylor expanded in z around 0
Applied rewrites74.4%
Final simplification33.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt y) (sqrt (+ y 1.0)))))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt z) t_2))
(t_4 (sqrt (+ 1.0 t))))
(if (<= (- t_1 t_3) 0.0)
(-
(- (+ (* (sqrt (/ 1.0 y)) 0.5) (* 0.5 (sqrt (/ 1.0 x)))) t_3)
(- (sqrt t) t_4))
(-
(/ (- (+ 1.0 t) t) (+ t_4 (sqrt t)))
(- (/ (- z (+ z 1.0)) (+ (sqrt z) 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((x + 1.0)) - sqrt(x)) - (sqrt(y) - sqrt((y + 1.0)));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt(z) - t_2;
double t_4 = sqrt((1.0 + t));
double tmp;
if ((t_1 - t_3) <= 0.0) {
tmp = (((sqrt((1.0 / y)) * 0.5) + (0.5 * sqrt((1.0 / x)))) - t_3) - (sqrt(t) - t_4);
} else {
tmp = (((1.0 + t) - t) / (t_4 + sqrt(t))) - (((z - (z + 1.0)) / (sqrt(z) + t_2)) - t_1);
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = (sqrt((x + 1.0d0)) - sqrt(x)) - (sqrt(y) - sqrt((y + 1.0d0)))
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt(z) - t_2
t_4 = sqrt((1.0d0 + t))
if ((t_1 - t_3) <= 0.0d0) then
tmp = (((sqrt((1.0d0 / y)) * 0.5d0) + (0.5d0 * sqrt((1.0d0 / x)))) - t_3) - (sqrt(t) - t_4)
else
tmp = (((1.0d0 + t) - t) / (t_4 + sqrt(t))) - (((z - (z + 1.0d0)) / (sqrt(z) + t_2)) - t_1)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = (Math.sqrt((x + 1.0)) - Math.sqrt(x)) - (Math.sqrt(y) - Math.sqrt((y + 1.0)));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt(z) - t_2;
double t_4 = Math.sqrt((1.0 + t));
double tmp;
if ((t_1 - t_3) <= 0.0) {
tmp = (((Math.sqrt((1.0 / y)) * 0.5) + (0.5 * Math.sqrt((1.0 / x)))) - t_3) - (Math.sqrt(t) - t_4);
} else {
tmp = (((1.0 + t) - t) / (t_4 + Math.sqrt(t))) - (((z - (z + 1.0)) / (Math.sqrt(z) + t_2)) - t_1);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = (math.sqrt((x + 1.0)) - math.sqrt(x)) - (math.sqrt(y) - math.sqrt((y + 1.0))) t_2 = math.sqrt((z + 1.0)) t_3 = math.sqrt(z) - t_2 t_4 = math.sqrt((1.0 + t)) tmp = 0 if (t_1 - t_3) <= 0.0: tmp = (((math.sqrt((1.0 / y)) * 0.5) + (0.5 * math.sqrt((1.0 / x)))) - t_3) - (math.sqrt(t) - t_4) else: tmp = (((1.0 + t) - t) / (t_4 + math.sqrt(t))) - (((z - (z + 1.0)) / (math.sqrt(z) + t_2)) - t_1) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) - Float64(sqrt(y) - sqrt(Float64(y + 1.0)))) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(z) - t_2) t_4 = sqrt(Float64(1.0 + t)) tmp = 0.0 if (Float64(t_1 - t_3) <= 0.0) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / y)) * 0.5) + Float64(0.5 * sqrt(Float64(1.0 / x)))) - t_3) - Float64(sqrt(t) - t_4)); else tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(t_4 + sqrt(t))) - Float64(Float64(Float64(z - Float64(z + 1.0)) / Float64(sqrt(z) + t_2)) - t_1)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = (sqrt((x + 1.0)) - sqrt(x)) - (sqrt(y) - sqrt((y + 1.0)));
t_2 = sqrt((z + 1.0));
t_3 = sqrt(z) - t_2;
t_4 = sqrt((1.0 + t));
tmp = 0.0;
if ((t_1 - t_3) <= 0.0)
tmp = (((sqrt((1.0 / y)) * 0.5) + (0.5 * sqrt((1.0 / x)))) - t_3) - (sqrt(t) - t_4);
else
tmp = (((1.0 + t) - t) / (t_4 + sqrt(t))) - (((z - (z + 1.0)) / (sqrt(z) + t_2)) - t_1);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[z], $MachinePrecision] - t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - t$95$3), $MachinePrecision], 0.0], N[(N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] - t$95$4), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(t$95$4 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(z - N[(z + 1.0), $MachinePrecision]), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \left(\sqrt{x + 1} - \sqrt{x}\right) - \left(\sqrt{y} - \sqrt{y + 1}\right)\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{z} - t\_2\\
t_4 := \sqrt{1 + t}\\
\mathbf{if}\;t\_1 - t\_3 \leq 0:\\
\;\;\;\;\left(\left(\sqrt{\frac{1}{y}} \cdot 0.5 + 0.5 \cdot \sqrt{\frac{1}{x}}\right) - t\_3\right) - \left(\sqrt{t} - t\_4\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{t\_4 + \sqrt{t}} - \left(\frac{z - \left(z + 1\right)}{\sqrt{z} + t\_2} - t\_1\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 38.9%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6455.7
Applied rewrites55.7%
Taylor expanded in y around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6463.5
Applied rewrites63.5%
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))) Initial program 96.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.9
Applied rewrites96.9%
lift--.f64N/A
flip--N/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
+-commutativeN/A
lift-+.f64N/A
lift--.f64N/A
lower-/.f6497.5
lift-+.f64N/A
+-commutativeN/A
lift-+.f6497.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.5
lift-+.f64N/A
+-commutativeN/A
lift-+.f6497.5
Applied rewrites97.5%
Final simplification94.1%
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) (sqrt (+ 1.0 t))))
(t_2 (sqrt (/ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (- (- t_3 (sqrt x)) (- (sqrt y) t_4)))
(t_6 (sqrt (+ z 1.0))))
(if (<= t_5 0.0)
(- (- (+ (* t_2 0.5) (* 0.5 (sqrt (/ 1.0 x)))) (- (sqrt z) t_6)) t_1)
(if (<= t_5 1.0002)
(- (- (+ (* (+ (sqrt (/ 1.0 z)) t_2) 0.5) t_3) (sqrt x)) t_1)
(-
(- 1.0 (- (+ (sqrt y) (sqrt x)) (+ (/ 1.0 (+ (sqrt z) t_6)) t_4)))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(t) - sqrt((1.0 + t));
double t_2 = sqrt((1.0 / y));
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((y + 1.0));
double t_5 = (t_3 - sqrt(x)) - (sqrt(y) - t_4);
double t_6 = sqrt((z + 1.0));
double tmp;
if (t_5 <= 0.0) {
tmp = (((t_2 * 0.5) + (0.5 * sqrt((1.0 / x)))) - (sqrt(z) - t_6)) - t_1;
} else if (t_5 <= 1.0002) {
tmp = ((((sqrt((1.0 / z)) + t_2) * 0.5) + t_3) - sqrt(x)) - t_1;
} else {
tmp = (1.0 - ((sqrt(y) + sqrt(x)) - ((1.0 / (sqrt(z) + t_6)) + t_4))) - t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt(t) - sqrt((1.0d0 + t))
t_2 = sqrt((1.0d0 / y))
t_3 = sqrt((x + 1.0d0))
t_4 = sqrt((y + 1.0d0))
t_5 = (t_3 - sqrt(x)) - (sqrt(y) - t_4)
t_6 = sqrt((z + 1.0d0))
if (t_5 <= 0.0d0) then
tmp = (((t_2 * 0.5d0) + (0.5d0 * sqrt((1.0d0 / x)))) - (sqrt(z) - t_6)) - t_1
else if (t_5 <= 1.0002d0) then
tmp = ((((sqrt((1.0d0 / z)) + t_2) * 0.5d0) + t_3) - sqrt(x)) - t_1
else
tmp = (1.0d0 - ((sqrt(y) + sqrt(x)) - ((1.0d0 / (sqrt(z) + t_6)) + t_4))) - t_1
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt(t) - Math.sqrt((1.0 + t));
double t_2 = Math.sqrt((1.0 / y));
double t_3 = Math.sqrt((x + 1.0));
double t_4 = Math.sqrt((y + 1.0));
double t_5 = (t_3 - Math.sqrt(x)) - (Math.sqrt(y) - t_4);
double t_6 = Math.sqrt((z + 1.0));
double tmp;
if (t_5 <= 0.0) {
tmp = (((t_2 * 0.5) + (0.5 * Math.sqrt((1.0 / x)))) - (Math.sqrt(z) - t_6)) - t_1;
} else if (t_5 <= 1.0002) {
tmp = ((((Math.sqrt((1.0 / z)) + t_2) * 0.5) + t_3) - Math.sqrt(x)) - t_1;
} else {
tmp = (1.0 - ((Math.sqrt(y) + Math.sqrt(x)) - ((1.0 / (Math.sqrt(z) + t_6)) + t_4))) - t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt(t) - math.sqrt((1.0 + t)) t_2 = math.sqrt((1.0 / y)) t_3 = math.sqrt((x + 1.0)) t_4 = math.sqrt((y + 1.0)) t_5 = (t_3 - math.sqrt(x)) - (math.sqrt(y) - t_4) t_6 = math.sqrt((z + 1.0)) tmp = 0 if t_5 <= 0.0: tmp = (((t_2 * 0.5) + (0.5 * math.sqrt((1.0 / x)))) - (math.sqrt(z) - t_6)) - t_1 elif t_5 <= 1.0002: tmp = ((((math.sqrt((1.0 / z)) + t_2) * 0.5) + t_3) - math.sqrt(x)) - t_1 else: tmp = (1.0 - ((math.sqrt(y) + math.sqrt(x)) - ((1.0 / (math.sqrt(z) + t_6)) + t_4))) - t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(t) - sqrt(Float64(1.0 + t))) t_2 = sqrt(Float64(1.0 / y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_3 - sqrt(x)) - Float64(sqrt(y) - t_4)) t_6 = sqrt(Float64(z + 1.0)) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(Float64(Float64(Float64(t_2 * 0.5) + Float64(0.5 * sqrt(Float64(1.0 / x)))) - Float64(sqrt(z) - t_6)) - t_1); elseif (t_5 <= 1.0002) tmp = Float64(Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / z)) + t_2) * 0.5) + t_3) - sqrt(x)) - t_1); else tmp = Float64(Float64(1.0 - Float64(Float64(sqrt(y) + sqrt(x)) - Float64(Float64(1.0 / Float64(sqrt(z) + t_6)) + t_4))) - t_1); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt(t) - sqrt((1.0 + t));
t_2 = sqrt((1.0 / y));
t_3 = sqrt((x + 1.0));
t_4 = sqrt((y + 1.0));
t_5 = (t_3 - sqrt(x)) - (sqrt(y) - t_4);
t_6 = sqrt((z + 1.0));
tmp = 0.0;
if (t_5 <= 0.0)
tmp = (((t_2 * 0.5) + (0.5 * sqrt((1.0 / x)))) - (sqrt(z) - t_6)) - t_1;
elseif (t_5 <= 1.0002)
tmp = ((((sqrt((1.0 / z)) + t_2) * 0.5) + t_3) - sqrt(x)) - t_1;
else
tmp = (1.0 - ((sqrt(y) + sqrt(x)) - ((1.0 / (sqrt(z) + t_6)) + t_4))) - t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[t], $MachinePrecision] - N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$4), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(N[(N[(t$95$2 * 0.5), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$6), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 1.0002], N[(N[(N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision], N[(N[(1.0 - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision] + t$95$4), $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} - \sqrt{1 + t}\\
t_2 := \sqrt{\frac{1}{y}}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_3 - \sqrt{x}\right) - \left(\sqrt{y} - t\_4\right)\\
t_6 := \sqrt{z + 1}\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\left(\left(t\_2 \cdot 0.5 + 0.5 \cdot \sqrt{\frac{1}{x}}\right) - \left(\sqrt{z} - t\_6\right)\right) - t\_1\\
\mathbf{elif}\;t\_5 \leq 1.0002:\\
\;\;\;\;\left(\left(\left(\sqrt{\frac{1}{z}} + t\_2\right) \cdot 0.5 + t\_3\right) - \sqrt{x}\right) - t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(1 - \left(\left(\sqrt{y} + \sqrt{x}\right) - \left(\frac{1}{\sqrt{z} + t\_6} + t\_4\right)\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 64.8%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6474.3
Applied rewrites74.3%
Taylor expanded in y around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6479.3
Applied rewrites79.3%
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))) < 1.0002Initial program 95.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.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
lower-sqrt.f64N/A
lower-sqrt.f6413.4
Applied rewrites13.4%
Taylor expanded in y around inf
Applied rewrites29.4%
if 1.0002 < (+.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 97.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.3
Applied rewrites98.3%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6495.7
Applied rewrites95.7%
Final simplification58.6%
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 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (- (sqrt y) t_1))
(t_5 (- (- t_2 (sqrt x)) t_4))
(t_6 (- (sqrt t) (sqrt (+ 1.0 t)))))
(if (<= t_5 0.0)
(- (- (- (/ 0.5 (sqrt x)) t_4) (- (sqrt z) t_3)) t_6)
(if (<= t_5 1.0002)
(-
(- (+ (* (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) 0.5) t_2) (sqrt x))
t_6)
(-
(- 1.0 (- (+ (sqrt y) (sqrt x)) (+ (/ 1.0 (+ (sqrt z) t_3)) t_1)))
t_6)))))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((x + 1.0));
double t_3 = sqrt((z + 1.0));
double t_4 = sqrt(y) - t_1;
double t_5 = (t_2 - sqrt(x)) - t_4;
double t_6 = sqrt(t) - sqrt((1.0 + t));
double tmp;
if (t_5 <= 0.0) {
tmp = (((0.5 / sqrt(x)) - t_4) - (sqrt(z) - t_3)) - t_6;
} else if (t_5 <= 1.0002) {
tmp = ((((sqrt((1.0 / z)) + sqrt((1.0 / y))) * 0.5) + t_2) - sqrt(x)) - t_6;
} else {
tmp = (1.0 - ((sqrt(y) + sqrt(x)) - ((1.0 / (sqrt(z) + t_3)) + t_1))) - t_6;
}
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((y + 1.0d0))
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((z + 1.0d0))
t_4 = sqrt(y) - t_1
t_5 = (t_2 - sqrt(x)) - t_4
t_6 = sqrt(t) - sqrt((1.0d0 + t))
if (t_5 <= 0.0d0) then
tmp = (((0.5d0 / sqrt(x)) - t_4) - (sqrt(z) - t_3)) - t_6
else if (t_5 <= 1.0002d0) then
tmp = ((((sqrt((1.0d0 / z)) + sqrt((1.0d0 / y))) * 0.5d0) + t_2) - sqrt(x)) - t_6
else
tmp = (1.0d0 - ((sqrt(y) + sqrt(x)) - ((1.0d0 / (sqrt(z) + t_3)) + t_1))) - t_6
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((x + 1.0));
double t_3 = Math.sqrt((z + 1.0));
double t_4 = Math.sqrt(y) - t_1;
double t_5 = (t_2 - Math.sqrt(x)) - t_4;
double t_6 = Math.sqrt(t) - Math.sqrt((1.0 + t));
double tmp;
if (t_5 <= 0.0) {
tmp = (((0.5 / Math.sqrt(x)) - t_4) - (Math.sqrt(z) - t_3)) - t_6;
} else if (t_5 <= 1.0002) {
tmp = ((((Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / y))) * 0.5) + t_2) - Math.sqrt(x)) - t_6;
} else {
tmp = (1.0 - ((Math.sqrt(y) + Math.sqrt(x)) - ((1.0 / (Math.sqrt(z) + t_3)) + t_1))) - t_6;
}
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((x + 1.0)) t_3 = math.sqrt((z + 1.0)) t_4 = math.sqrt(y) - t_1 t_5 = (t_2 - math.sqrt(x)) - t_4 t_6 = math.sqrt(t) - math.sqrt((1.0 + t)) tmp = 0 if t_5 <= 0.0: tmp = (((0.5 / math.sqrt(x)) - t_4) - (math.sqrt(z) - t_3)) - t_6 elif t_5 <= 1.0002: tmp = ((((math.sqrt((1.0 / z)) + math.sqrt((1.0 / y))) * 0.5) + t_2) - math.sqrt(x)) - t_6 else: tmp = (1.0 - ((math.sqrt(y) + math.sqrt(x)) - ((1.0 / (math.sqrt(z) + t_3)) + t_1))) - t_6 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(x + 1.0)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(sqrt(y) - t_1) t_5 = Float64(Float64(t_2 - sqrt(x)) - t_4) t_6 = Float64(sqrt(t) - sqrt(Float64(1.0 + t))) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(Float64(Float64(Float64(0.5 / sqrt(x)) - t_4) - Float64(sqrt(z) - t_3)) - t_6); elseif (t_5 <= 1.0002) tmp = Float64(Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))) * 0.5) + t_2) - sqrt(x)) - t_6); else tmp = Float64(Float64(1.0 - Float64(Float64(sqrt(y) + sqrt(x)) - Float64(Float64(1.0 / Float64(sqrt(z) + t_3)) + t_1))) - t_6); 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((x + 1.0));
t_3 = sqrt((z + 1.0));
t_4 = sqrt(y) - t_1;
t_5 = (t_2 - sqrt(x)) - t_4;
t_6 = sqrt(t) - sqrt((1.0 + t));
tmp = 0.0;
if (t_5 <= 0.0)
tmp = (((0.5 / sqrt(x)) - t_4) - (sqrt(z) - t_3)) - t_6;
elseif (t_5 <= 1.0002)
tmp = ((((sqrt((1.0 / z)) + sqrt((1.0 / y))) * 0.5) + t_2) - sqrt(x)) - t_6;
else
tmp = (1.0 - ((sqrt(y) + sqrt(x)) - ((1.0 / (sqrt(z) + t_3)) + t_1))) - t_6;
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[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[t], $MachinePrecision] - N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision], If[LessEqual[t$95$5, 1.0002], N[(N[(N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision], N[(N[(1.0 - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$6), $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{x + 1}\\
t_3 := \sqrt{z + 1}\\
t_4 := \sqrt{y} - t\_1\\
t_5 := \left(t\_2 - \sqrt{x}\right) - t\_4\\
t_6 := \sqrt{t} - \sqrt{1 + t}\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\left(\left(\frac{0.5}{\sqrt{x}} - t\_4\right) - \left(\sqrt{z} - t\_3\right)\right) - t\_6\\
\mathbf{elif}\;t\_5 \leq 1.0002:\\
\;\;\;\;\left(\left(\left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_2\right) - \sqrt{x}\right) - t\_6\\
\mathbf{else}:\\
\;\;\;\;\left(1 - \left(\left(\sqrt{y} + \sqrt{x}\right) - \left(\frac{1}{\sqrt{z} + t\_3} + t\_1\right)\right)\right) - t\_6\\
\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 64.8%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6474.3
Applied rewrites74.3%
Applied rewrites74.3%
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))) < 1.0002Initial program 95.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.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
lower-sqrt.f64N/A
lower-sqrt.f6413.4
Applied rewrites13.4%
Taylor expanded in y around inf
Applied rewrites29.4%
if 1.0002 < (+.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 97.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.3
Applied rewrites98.3%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6495.7
Applied rewrites95.7%
Final simplification57.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (- (sqrt z) (sqrt (+ z 1.0))))
(t_3 (- (sqrt y) (sqrt (+ y 1.0))))
(t_4 (- (- t_1 (sqrt x)) t_3))
(t_5 (- (sqrt t) (sqrt (+ 1.0 t)))))
(if (<= t_4 0.0)
(- (- (- (/ 0.5 (sqrt x)) t_3) t_2) t_5)
(if (<= t_4 1.0002)
(-
(- (+ (* (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) 0.5) t_1) (sqrt x))
t_5)
(- (- (- (- 1.0 (sqrt x)) t_3) t_2) t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt(z) - sqrt((z + 1.0));
double t_3 = sqrt(y) - sqrt((y + 1.0));
double t_4 = (t_1 - sqrt(x)) - t_3;
double t_5 = sqrt(t) - sqrt((1.0 + t));
double tmp;
if (t_4 <= 0.0) {
tmp = (((0.5 / sqrt(x)) - t_3) - t_2) - t_5;
} else if (t_4 <= 1.0002) {
tmp = ((((sqrt((1.0 / z)) + sqrt((1.0 / y))) * 0.5) + t_1) - sqrt(x)) - t_5;
} else {
tmp = (((1.0 - sqrt(x)) - t_3) - t_2) - t_5;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt(z) - sqrt((z + 1.0d0))
t_3 = sqrt(y) - sqrt((y + 1.0d0))
t_4 = (t_1 - sqrt(x)) - t_3
t_5 = sqrt(t) - sqrt((1.0d0 + t))
if (t_4 <= 0.0d0) then
tmp = (((0.5d0 / sqrt(x)) - t_3) - t_2) - t_5
else if (t_4 <= 1.0002d0) then
tmp = ((((sqrt((1.0d0 / z)) + sqrt((1.0d0 / y))) * 0.5d0) + t_1) - sqrt(x)) - t_5
else
tmp = (((1.0d0 - sqrt(x)) - t_3) - t_2) - t_5
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt(z) - Math.sqrt((z + 1.0));
double t_3 = Math.sqrt(y) - Math.sqrt((y + 1.0));
double t_4 = (t_1 - Math.sqrt(x)) - t_3;
double t_5 = Math.sqrt(t) - Math.sqrt((1.0 + t));
double tmp;
if (t_4 <= 0.0) {
tmp = (((0.5 / Math.sqrt(x)) - t_3) - t_2) - t_5;
} else if (t_4 <= 1.0002) {
tmp = ((((Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / y))) * 0.5) + t_1) - Math.sqrt(x)) - t_5;
} else {
tmp = (((1.0 - Math.sqrt(x)) - t_3) - t_2) - t_5;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt(z) - math.sqrt((z + 1.0)) t_3 = math.sqrt(y) - math.sqrt((y + 1.0)) t_4 = (t_1 - math.sqrt(x)) - t_3 t_5 = math.sqrt(t) - math.sqrt((1.0 + t)) tmp = 0 if t_4 <= 0.0: tmp = (((0.5 / math.sqrt(x)) - t_3) - t_2) - t_5 elif t_4 <= 1.0002: tmp = ((((math.sqrt((1.0 / z)) + math.sqrt((1.0 / y))) * 0.5) + t_1) - math.sqrt(x)) - t_5 else: tmp = (((1.0 - math.sqrt(x)) - t_3) - t_2) - t_5 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = Float64(sqrt(z) - sqrt(Float64(z + 1.0))) t_3 = Float64(sqrt(y) - sqrt(Float64(y + 1.0))) t_4 = Float64(Float64(t_1 - sqrt(x)) - t_3) t_5 = Float64(sqrt(t) - sqrt(Float64(1.0 + t))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(Float64(Float64(Float64(0.5 / sqrt(x)) - t_3) - t_2) - t_5); elseif (t_4 <= 1.0002) tmp = Float64(Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))) * 0.5) + t_1) - sqrt(x)) - t_5); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) - t_3) - t_2) - t_5); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = sqrt(z) - sqrt((z + 1.0));
t_3 = sqrt(y) - sqrt((y + 1.0));
t_4 = (t_1 - sqrt(x)) - t_3;
t_5 = sqrt(t) - sqrt((1.0 + t));
tmp = 0.0;
if (t_4 <= 0.0)
tmp = (((0.5 / sqrt(x)) - t_3) - t_2) - t_5;
elseif (t_4 <= 1.0002)
tmp = ((((sqrt((1.0 / z)) + sqrt((1.0 / y))) * 0.5) + t_1) - sqrt(x)) - t_5;
else
tmp = (((1.0 - sqrt(x)) - t_3) - t_2) - t_5;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[z], $MachinePrecision] - N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[t], $MachinePrecision] - N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision] - t$95$2), $MachinePrecision] - t$95$5), $MachinePrecision], If[LessEqual[t$95$4, 1.0002], N[(N[(N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$5), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision] - t$95$2), $MachinePrecision] - t$95$5), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{z} - \sqrt{z + 1}\\
t_3 := \sqrt{y} - \sqrt{y + 1}\\
t_4 := \left(t\_1 - \sqrt{x}\right) - t\_3\\
t_5 := \sqrt{t} - \sqrt{1 + t}\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\left(\left(\frac{0.5}{\sqrt{x}} - t\_3\right) - t\_2\right) - t\_5\\
\mathbf{elif}\;t\_4 \leq 1.0002:\\
\;\;\;\;\left(\left(\left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_1\right) - \sqrt{x}\right) - t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) - t\_3\right) - t\_2\right) - t\_5\\
\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 64.8%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6474.3
Applied rewrites74.3%
Applied rewrites74.3%
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))) < 1.0002Initial program 95.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.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
lower-sqrt.f64N/A
lower-sqrt.f6413.4
Applied rewrites13.4%
Taylor expanded in y around inf
Applied rewrites29.4%
if 1.0002 < (+.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 97.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6494.1
Applied rewrites94.1%
Final simplification57.2%
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 (+ x 1.0)))
(t_2 (- (sqrt y) (sqrt (+ y 1.0))))
(t_3 (- (sqrt t) (sqrt (+ 1.0 t)))))
(if (<= (- (- t_1 (sqrt x)) t_2) 1.0002)
(- (- (+ (* (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) 0.5) t_1) (sqrt x)) t_3)
(- (- (- (- 1.0 (sqrt x)) t_2) (- (sqrt z) (sqrt (+ z 1.0)))) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt(y) - sqrt((y + 1.0));
double t_3 = sqrt(t) - sqrt((1.0 + t));
double tmp;
if (((t_1 - sqrt(x)) - t_2) <= 1.0002) {
tmp = ((((sqrt((1.0 / z)) + sqrt((1.0 / y))) * 0.5) + t_1) - sqrt(x)) - t_3;
} else {
tmp = (((1.0 - sqrt(x)) - t_2) - (sqrt(z) - sqrt((z + 1.0)))) - 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) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt(y) - sqrt((y + 1.0d0))
t_3 = sqrt(t) - sqrt((1.0d0 + t))
if (((t_1 - sqrt(x)) - t_2) <= 1.0002d0) then
tmp = ((((sqrt((1.0d0 / z)) + sqrt((1.0d0 / y))) * 0.5d0) + t_1) - sqrt(x)) - t_3
else
tmp = (((1.0d0 - sqrt(x)) - t_2) - (sqrt(z) - sqrt((z + 1.0d0)))) - 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((x + 1.0));
double t_2 = Math.sqrt(y) - Math.sqrt((y + 1.0));
double t_3 = Math.sqrt(t) - Math.sqrt((1.0 + t));
double tmp;
if (((t_1 - Math.sqrt(x)) - t_2) <= 1.0002) {
tmp = ((((Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / y))) * 0.5) + t_1) - Math.sqrt(x)) - t_3;
} else {
tmp = (((1.0 - Math.sqrt(x)) - t_2) - (Math.sqrt(z) - Math.sqrt((z + 1.0)))) - t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt(y) - math.sqrt((y + 1.0)) t_3 = math.sqrt(t) - math.sqrt((1.0 + t)) tmp = 0 if ((t_1 - math.sqrt(x)) - t_2) <= 1.0002: tmp = ((((math.sqrt((1.0 / z)) + math.sqrt((1.0 / y))) * 0.5) + t_1) - math.sqrt(x)) - t_3 else: tmp = (((1.0 - math.sqrt(x)) - t_2) - (math.sqrt(z) - math.sqrt((z + 1.0)))) - t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = Float64(sqrt(y) - sqrt(Float64(y + 1.0))) t_3 = Float64(sqrt(t) - sqrt(Float64(1.0 + t))) tmp = 0.0 if (Float64(Float64(t_1 - sqrt(x)) - t_2) <= 1.0002) tmp = Float64(Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))) * 0.5) + t_1) - sqrt(x)) - t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) - t_2) - Float64(sqrt(z) - sqrt(Float64(z + 1.0)))) - 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((x + 1.0));
t_2 = sqrt(y) - sqrt((y + 1.0));
t_3 = sqrt(t) - sqrt((1.0 + t));
tmp = 0.0;
if (((t_1 - sqrt(x)) - t_2) <= 1.0002)
tmp = ((((sqrt((1.0 / z)) + sqrt((1.0 / y))) * 0.5) + t_1) - sqrt(x)) - t_3;
else
tmp = (((1.0 - sqrt(x)) - t_2) - (sqrt(z) - sqrt((z + 1.0)))) - 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[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[t], $MachinePrecision] - N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision], 1.0002], N[(N[(N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{y} - \sqrt{y + 1}\\
t_3 := \sqrt{t} - \sqrt{1 + t}\\
\mathbf{if}\;\left(t\_1 - \sqrt{x}\right) - t\_2 \leq 1.0002:\\
\;\;\;\;\left(\left(\left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_1\right) - \sqrt{x}\right) - t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) - t\_2\right) - \left(\sqrt{z} - \sqrt{z + 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))) < 1.0002Initial program 87.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.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
lower-sqrt.f64N/A
lower-sqrt.f6417.0
Applied rewrites17.0%
Taylor expanded in y around inf
Applied rewrites28.8%
if 1.0002 < (+.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 97.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6494.1
Applied rewrites94.1%
Final simplification48.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt t) (sqrt (+ 1.0 t)))))
(if (<= t_1 0.0)
(-
(-
(+ (* (sqrt (/ 1.0 y)) 0.5) (* 0.5 (sqrt (/ 1.0 x))))
(- (sqrt z) t_2))
t_3)
(-
(-
(- t_1 (- (sqrt y) (sqrt (+ y 1.0))))
(/ (- z (+ z 1.0)) (+ (sqrt z) t_2)))
t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0)) - sqrt(x);
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt(t) - sqrt((1.0 + t));
double tmp;
if (t_1 <= 0.0) {
tmp = (((sqrt((1.0 / y)) * 0.5) + (0.5 * sqrt((1.0 / x)))) - (sqrt(z) - t_2)) - t_3;
} else {
tmp = ((t_1 - (sqrt(y) - sqrt((y + 1.0)))) - ((z - (z + 1.0)) / (sqrt(z) + t_2))) - 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) :: tmp
t_1 = sqrt((x + 1.0d0)) - sqrt(x)
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt(t) - sqrt((1.0d0 + t))
if (t_1 <= 0.0d0) then
tmp = (((sqrt((1.0d0 / y)) * 0.5d0) + (0.5d0 * sqrt((1.0d0 / x)))) - (sqrt(z) - t_2)) - t_3
else
tmp = ((t_1 - (sqrt(y) - sqrt((y + 1.0d0)))) - ((z - (z + 1.0d0)) / (sqrt(z) + t_2))) - 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((x + 1.0)) - Math.sqrt(x);
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt(t) - Math.sqrt((1.0 + t));
double tmp;
if (t_1 <= 0.0) {
tmp = (((Math.sqrt((1.0 / y)) * 0.5) + (0.5 * Math.sqrt((1.0 / x)))) - (Math.sqrt(z) - t_2)) - t_3;
} else {
tmp = ((t_1 - (Math.sqrt(y) - Math.sqrt((y + 1.0)))) - ((z - (z + 1.0)) / (Math.sqrt(z) + t_2))) - t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) - math.sqrt(x) t_2 = math.sqrt((z + 1.0)) t_3 = math.sqrt(t) - math.sqrt((1.0 + t)) tmp = 0 if t_1 <= 0.0: tmp = (((math.sqrt((1.0 / y)) * 0.5) + (0.5 * math.sqrt((1.0 / x)))) - (math.sqrt(z) - t_2)) - t_3 else: tmp = ((t_1 - (math.sqrt(y) - math.sqrt((y + 1.0)))) - ((z - (z + 1.0)) / (math.sqrt(z) + t_2))) - t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(t) - sqrt(Float64(1.0 + t))) tmp = 0.0 if (t_1 <= 0.0) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / y)) * 0.5) + Float64(0.5 * sqrt(Float64(1.0 / x)))) - Float64(sqrt(z) - t_2)) - t_3); else tmp = Float64(Float64(Float64(t_1 - Float64(sqrt(y) - sqrt(Float64(y + 1.0)))) - Float64(Float64(z - Float64(z + 1.0)) / Float64(sqrt(z) + t_2))) - 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((x + 1.0)) - sqrt(x);
t_2 = sqrt((z + 1.0));
t_3 = sqrt(t) - sqrt((1.0 + t));
tmp = 0.0;
if (t_1 <= 0.0)
tmp = (((sqrt((1.0 / y)) * 0.5) + (0.5 * sqrt((1.0 / x)))) - (sqrt(z) - t_2)) - t_3;
else
tmp = ((t_1 - (sqrt(y) - sqrt((y + 1.0)))) - ((z - (z + 1.0)) / (sqrt(z) + t_2))) - 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[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[t], $MachinePrecision] - N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.0], N[(N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision], N[(N[(N[(t$95$1 - N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(z - N[(z + 1.0), $MachinePrecision]), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1} - \sqrt{x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{t} - \sqrt{1 + t}\\
\mathbf{if}\;t\_1 \leq 0:\\
\;\;\;\;\left(\left(\sqrt{\frac{1}{y}} \cdot 0.5 + 0.5 \cdot \sqrt{\frac{1}{x}}\right) - \left(\sqrt{z} - t\_2\right)\right) - t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 - \left(\sqrt{y} - \sqrt{y + 1}\right)\right) - \frac{z - \left(z + 1\right)}{\sqrt{z} + t\_2}\right) - t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.0Initial program 82.6%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6487.2
Applied rewrites87.2%
Taylor expanded in y around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6440.2
Applied rewrites40.2%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 96.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.5
Applied rewrites97.5%
Final simplification73.1%
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))) (t_2 (sqrt (+ z 1.0))) (t_3 (sqrt (+ x 1.0))))
(if (<= (- (- (- t_3 (sqrt x)) (- (sqrt y) t_1)) (- (sqrt z) t_2)) 2.0)
(- (+ t_3 t_1) (+ (sqrt y) (sqrt x)))
(+ (- (- t_2 (sqrt x)) (+ (sqrt y) (sqrt z))) 2.0))))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((z + 1.0));
double t_3 = sqrt((x + 1.0));
double tmp;
if ((((t_3 - sqrt(x)) - (sqrt(y) - t_1)) - (sqrt(z) - t_2)) <= 2.0) {
tmp = (t_3 + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_2 - sqrt(x)) - (sqrt(y) + sqrt(z))) + 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) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt((x + 1.0d0))
if ((((t_3 - sqrt(x)) - (sqrt(y) - t_1)) - (sqrt(z) - t_2)) <= 2.0d0) then
tmp = (t_3 + t_1) - (sqrt(y) + sqrt(x))
else
tmp = ((t_2 - sqrt(x)) - (sqrt(y) + sqrt(z))) + 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((y + 1.0));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt((x + 1.0));
double tmp;
if ((((t_3 - Math.sqrt(x)) - (Math.sqrt(y) - t_1)) - (Math.sqrt(z) - t_2)) <= 2.0) {
tmp = (t_3 + t_1) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((t_2 - Math.sqrt(x)) - (Math.sqrt(y) + Math.sqrt(z))) + 2.0;
}
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((z + 1.0)) t_3 = math.sqrt((x + 1.0)) tmp = 0 if (((t_3 - math.sqrt(x)) - (math.sqrt(y) - t_1)) - (math.sqrt(z) - t_2)) <= 2.0: tmp = (t_3 + t_1) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((t_2 - math.sqrt(x)) - (math.sqrt(y) + math.sqrt(z))) + 2.0 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(z + 1.0)) t_3 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(Float64(Float64(t_3 - sqrt(x)) - Float64(sqrt(y) - t_1)) - Float64(sqrt(z) - t_2)) <= 2.0) tmp = Float64(Float64(t_3 + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_2 - sqrt(x)) - Float64(sqrt(y) + sqrt(z))) + 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((y + 1.0));
t_2 = sqrt((z + 1.0));
t_3 = sqrt((x + 1.0));
tmp = 0.0;
if ((((t_3 - sqrt(x)) - (sqrt(y) - t_1)) - (sqrt(z) - t_2)) <= 2.0)
tmp = (t_3 + t_1) - (sqrt(y) + sqrt(x));
else
tmp = ((t_2 - sqrt(x)) - (sqrt(y) + sqrt(z))) + 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision], 2.0], N[(N[(t$95$3 + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $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{y + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{x + 1}\\
\mathbf{if}\;\left(\left(t\_3 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) - \left(\sqrt{z} - t\_2\right) \leq 2:\\
\;\;\;\;\left(t\_3 + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 - \sqrt{x}\right) - \left(\sqrt{y} + \sqrt{z}\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))) < 2Initial program 89.8%
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.f645.3
Applied rewrites5.3%
Taylor expanded in z around inf
Applied rewrites14.1%
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 95.2%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites59.6%
Taylor expanded in y around 0
Applied rewrites62.7%
Taylor expanded in t around inf
Applied rewrites45.0%
Final simplification19.3%
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 y) (sqrt x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (- (sqrt t) (sqrt (+ 1.0 t)))))
(if (<= (- t_2 (sqrt z)) 5e-6)
(- (- 1.0 (- t_1 (+ (* (sqrt (/ 1.0 z)) 0.5) t_3))) t_4)
(- (- (- (+ t_3 1.0) t_1) (- (sqrt z) t_2)) t_4))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt(x);
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt(t) - sqrt((1.0 + t));
double tmp;
if ((t_2 - sqrt(z)) <= 5e-6) {
tmp = (1.0 - (t_1 - ((sqrt((1.0 / z)) * 0.5) + t_3))) - t_4;
} else {
tmp = (((t_3 + 1.0) - t_1) - (sqrt(z) - t_2)) - t_4;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt(y) + sqrt(x)
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt((y + 1.0d0))
t_4 = sqrt(t) - sqrt((1.0d0 + t))
if ((t_2 - sqrt(z)) <= 5d-6) then
tmp = (1.0d0 - (t_1 - ((sqrt((1.0d0 / z)) * 0.5d0) + t_3))) - t_4
else
tmp = (((t_3 + 1.0d0) - t_1) - (sqrt(z) - t_2)) - t_4
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt(y) + Math.sqrt(x);
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt((y + 1.0));
double t_4 = Math.sqrt(t) - Math.sqrt((1.0 + t));
double tmp;
if ((t_2 - Math.sqrt(z)) <= 5e-6) {
tmp = (1.0 - (t_1 - ((Math.sqrt((1.0 / z)) * 0.5) + t_3))) - t_4;
} else {
tmp = (((t_3 + 1.0) - t_1) - (Math.sqrt(z) - t_2)) - t_4;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt(y) + math.sqrt(x) t_2 = math.sqrt((z + 1.0)) t_3 = math.sqrt((y + 1.0)) t_4 = math.sqrt(t) - math.sqrt((1.0 + t)) tmp = 0 if (t_2 - math.sqrt(z)) <= 5e-6: tmp = (1.0 - (t_1 - ((math.sqrt((1.0 / z)) * 0.5) + t_3))) - t_4 else: tmp = (((t_3 + 1.0) - t_1) - (math.sqrt(z) - t_2)) - t_4 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(sqrt(t) - sqrt(Float64(1.0 + t))) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 5e-6) tmp = Float64(Float64(1.0 - Float64(t_1 - Float64(Float64(sqrt(Float64(1.0 / z)) * 0.5) + t_3))) - t_4); else tmp = Float64(Float64(Float64(Float64(t_3 + 1.0) - t_1) - Float64(sqrt(z) - t_2)) - t_4); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt(y) + sqrt(x);
t_2 = sqrt((z + 1.0));
t_3 = sqrt((y + 1.0));
t_4 = sqrt(t) - sqrt((1.0 + t));
tmp = 0.0;
if ((t_2 - sqrt(z)) <= 5e-6)
tmp = (1.0 - (t_1 - ((sqrt((1.0 / z)) * 0.5) + t_3))) - t_4;
else
tmp = (((t_3 + 1.0) - t_1) - (sqrt(z) - t_2)) - t_4;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[t], $MachinePrecision] - N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 5e-6], N[(N[(1.0 - N[(t$95$1 - N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision], N[(N[(N[(N[(t$95$3 + 1.0), $MachinePrecision] - t$95$1), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y} + \sqrt{x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{t} - \sqrt{1 + t}\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 5 \cdot 10^{-6}:\\
\;\;\;\;\left(1 - \left(t\_1 - \left(\sqrt{\frac{1}{z}} \cdot 0.5 + t\_3\right)\right)\right) - t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_3 + 1\right) - t\_1\right) - \left(\sqrt{z} - t\_2\right)\right) - t\_4\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 5.00000000000000041e-6Initial program 84.2%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.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
lower-sqrt.f64N/A
lower-sqrt.f6448.5
Applied rewrites48.5%
Taylor expanded in x around 0
Applied rewrites54.8%
if 5.00000000000000041e-6 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 96.9%
Taylor expanded in x around 0
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6440.9
Applied rewrites40.9%
Final simplification47.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (- (- (- 1.0 (sqrt x)) (- (sqrt y) (sqrt (+ y 1.0)))) (- (sqrt z) (sqrt (+ z 1.0)))) (- (sqrt t) (sqrt (+ 1.0 t)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (((1.0 - sqrt(x)) - (sqrt(y) - sqrt((y + 1.0)))) - (sqrt(z) - sqrt((z + 1.0)))) - (sqrt(t) - sqrt((1.0 + t)));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 - sqrt(x)) - (sqrt(y) - sqrt((y + 1.0d0)))) - (sqrt(z) - sqrt((z + 1.0d0)))) - (sqrt(t) - sqrt((1.0d0 + t)))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (((1.0 - Math.sqrt(x)) - (Math.sqrt(y) - Math.sqrt((y + 1.0)))) - (Math.sqrt(z) - Math.sqrt((z + 1.0)))) - (Math.sqrt(t) - Math.sqrt((1.0 + t)));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (((1.0 - math.sqrt(x)) - (math.sqrt(y) - math.sqrt((y + 1.0)))) - (math.sqrt(z) - math.sqrt((z + 1.0)))) - (math.sqrt(t) - math.sqrt((1.0 + t)))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 - sqrt(x)) - Float64(sqrt(y) - sqrt(Float64(y + 1.0)))) - Float64(sqrt(z) - sqrt(Float64(z + 1.0)))) - Float64(sqrt(t) - sqrt(Float64(1.0 + t)))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (((1.0 - sqrt(x)) - (sqrt(y) - sqrt((y + 1.0)))) - (sqrt(z) - sqrt((z + 1.0)))) - (sqrt(t) - sqrt((1.0 + t)));
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[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[t], $MachinePrecision] - N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\left(\left(1 - \sqrt{x}\right) - \left(\sqrt{y} - \sqrt{y + 1}\right)\right) - \left(\sqrt{z} - \sqrt{z + 1}\right)\right) - \left(\sqrt{t} - \sqrt{1 + t}\right)
\end{array}
Initial program 90.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6453.1
Applied rewrites53.1%
Final simplification53.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt y) (sqrt z))))
(if (<= y 2.9e-24)
(+ (- (- (sqrt (+ z 1.0)) (sqrt x)) t_1) 2.0)
(if (<= y 5.2e+20)
(- (+ (sqrt (+ x 1.0)) (sqrt (+ y 1.0))) (+ (sqrt y) (sqrt x)))
(+ (- (sqrt t) (+ (+ t_1 (sqrt x)) (sqrt t))) 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt(z);
double tmp;
if (y <= 2.9e-24) {
tmp = ((sqrt((z + 1.0)) - sqrt(x)) - t_1) + 2.0;
} else if (y <= 5.2e+20) {
tmp = (sqrt((x + 1.0)) + sqrt((y + 1.0))) - (sqrt(y) + sqrt(x));
} else {
tmp = (sqrt(t) - ((t_1 + sqrt(x)) + sqrt(t))) + 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) :: tmp
t_1 = sqrt(y) + sqrt(z)
if (y <= 2.9d-24) then
tmp = ((sqrt((z + 1.0d0)) - sqrt(x)) - t_1) + 2.0d0
else if (y <= 5.2d+20) then
tmp = (sqrt((x + 1.0d0)) + sqrt((y + 1.0d0))) - (sqrt(y) + sqrt(x))
else
tmp = (sqrt(t) - ((t_1 + sqrt(x)) + sqrt(t))) + 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(y) + Math.sqrt(z);
double tmp;
if (y <= 2.9e-24) {
tmp = ((Math.sqrt((z + 1.0)) - Math.sqrt(x)) - t_1) + 2.0;
} else if (y <= 5.2e+20) {
tmp = (Math.sqrt((x + 1.0)) + Math.sqrt((y + 1.0))) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (Math.sqrt(t) - ((t_1 + Math.sqrt(x)) + Math.sqrt(t))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt(y) + math.sqrt(z) tmp = 0 if y <= 2.9e-24: tmp = ((math.sqrt((z + 1.0)) - math.sqrt(x)) - t_1) + 2.0 elif y <= 5.2e+20: tmp = (math.sqrt((x + 1.0)) + math.sqrt((y + 1.0))) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (math.sqrt(t) - ((t_1 + math.sqrt(x)) + math.sqrt(t))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(z)) tmp = 0.0 if (y <= 2.9e-24) tmp = Float64(Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(x)) - t_1) + 2.0); elseif (y <= 5.2e+20) tmp = Float64(Float64(sqrt(Float64(x + 1.0)) + sqrt(Float64(y + 1.0))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(sqrt(t) - Float64(Float64(t_1 + sqrt(x)) + sqrt(t))) + 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(y) + sqrt(z);
tmp = 0.0;
if (y <= 2.9e-24)
tmp = ((sqrt((z + 1.0)) - sqrt(x)) - t_1) + 2.0;
elseif (y <= 5.2e+20)
tmp = (sqrt((x + 1.0)) + sqrt((y + 1.0))) - (sqrt(y) + sqrt(x));
else
tmp = (sqrt(t) - ((t_1 + sqrt(x)) + sqrt(t))) + 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[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 2.9e-24], N[(N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision] + 2.0), $MachinePrecision], If[LessEqual[y, 5.2e+20], N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[t], $MachinePrecision] - N[(N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $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} + \sqrt{z}\\
\mathbf{if}\;y \leq 2.9 \cdot 10^{-24}:\\
\;\;\;\;\left(\left(\sqrt{z + 1} - \sqrt{x}\right) - t\_1\right) + 2\\
\mathbf{elif}\;y \leq 5.2 \cdot 10^{+20}:\\
\;\;\;\;\left(\sqrt{x + 1} + \sqrt{y + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{t} - \left(\left(t\_1 + \sqrt{x}\right) + \sqrt{t}\right)\right) + 1\\
\end{array}
\end{array}
if y < 2.8999999999999999e-24Initial program 96.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites35.1%
Taylor expanded in y around 0
Applied rewrites42.2%
Taylor expanded in t around inf
Applied rewrites33.2%
if 2.8999999999999999e-24 < y < 5.2e20Initial program 92.5%
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.f6420.3
Applied rewrites20.3%
Taylor expanded in z around inf
Applied rewrites19.5%
if 5.2e20 < y Initial program 84.1%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites31.9%
Taylor expanded in t around inf
Applied rewrites7.5%
Final simplification21.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (- (sqrt (+ z 1.0)) (sqrt x)) (+ (sqrt y) (sqrt z))) 2.0))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return ((sqrt((z + 1.0)) - sqrt(x)) - (sqrt(y) + sqrt(z))) + 2.0;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = ((sqrt((z + 1.0d0)) - sqrt(x)) - (sqrt(y) + sqrt(z))) + 2.0d0
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return ((Math.sqrt((z + 1.0)) - Math.sqrt(x)) - (Math.sqrt(y) + Math.sqrt(z))) + 2.0;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return ((math.sqrt((z + 1.0)) - math.sqrt(x)) - (math.sqrt(y) + math.sqrt(z))) + 2.0
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(x)) - Float64(sqrt(y) + sqrt(z))) + 2.0) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = ((sqrt((z + 1.0)) - sqrt(x)) - (sqrt(y) + sqrt(z))) + 2.0;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\left(\sqrt{z + 1} - \sqrt{x}\right) - \left(\sqrt{y} + \sqrt{z}\right)\right) + 2
\end{array}
Initial program 90.7%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites33.0%
Taylor expanded in y around 0
Applied rewrites28.2%
Taylor expanded in t around inf
Applied rewrites20.4%
Final simplification20.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (* (* (sqrt (/ 1.0 y)) 0.0) y))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((1.0 / y)) * 0.0) * y;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt((1.0d0 / y)) * 0.0d0) * y
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt((1.0 / y)) * 0.0) * y;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt((1.0 / y)) * 0.0) * y
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(1.0 / y)) * 0.0) * y) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((1.0 / y)) * 0.0) * y;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.0), $MachinePrecision] * y), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{\frac{1}{y}} \cdot 0\right) \cdot y
\end{array}
Initial program 90.7%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
sub-negN/A
associate-+l+N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-prodN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
neg-mul-1N/A
metadata-evalN/A
lower-fma.f64N/A
Applied rewrites56.9%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.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
*-commutativeN/A
lower-*.f64N/A
distribute-rgt1-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f643.1
Applied rewrites3.1%
Final simplification3.1%
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 90.7%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites33.0%
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 2024298
(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))))