
(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 28 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (+ (sqrt y) t_2))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (+ (sqrt x) t_4))
(t_6 (* t_3 t_5))
(t_7 (sqrt (+ 1.0 t))))
(if (<= t_1 5e-8)
(+
(+
(+ (* 0.5 (sqrt (/ 1.0 z))) (/ (sqrt x) t_6))
(+ (/ (sqrt y) t_6) (* (/ (/ 1.0 t_5) t_3) (+ t_2 t_4))))
(- t_7 (sqrt t)))
(+
(+ t_1 (+ (- t_4 (sqrt x)) (- t_2 (sqrt y))))
(/ (- (+ 1.0 t) t) (+ (sqrt t) 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)) - sqrt(z);
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt(y) + t_2;
double t_4 = sqrt((1.0 + x));
double t_5 = sqrt(x) + t_4;
double t_6 = t_3 * t_5;
double t_7 = sqrt((1.0 + t));
double tmp;
if (t_1 <= 5e-8) {
tmp = (((0.5 * sqrt((1.0 / z))) + (sqrt(x) / t_6)) + ((sqrt(y) / t_6) + (((1.0 / t_5) / t_3) * (t_2 + t_4)))) + (t_7 - sqrt(t));
} else {
tmp = (t_1 + ((t_4 - sqrt(x)) + (t_2 - sqrt(y)))) + (((1.0 + t) - t) / (sqrt(t) + 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)) - sqrt(z)
t_2 = sqrt((1.0d0 + y))
t_3 = sqrt(y) + t_2
t_4 = sqrt((1.0d0 + x))
t_5 = sqrt(x) + t_4
t_6 = t_3 * t_5
t_7 = sqrt((1.0d0 + t))
if (t_1 <= 5d-8) then
tmp = (((0.5d0 * sqrt((1.0d0 / z))) + (sqrt(x) / t_6)) + ((sqrt(y) / t_6) + (((1.0d0 / t_5) / t_3) * (t_2 + t_4)))) + (t_7 - sqrt(t))
else
tmp = (t_1 + ((t_4 - sqrt(x)) + (t_2 - sqrt(y)))) + (((1.0d0 + t) - t) / (sqrt(t) + 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)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + y));
double t_3 = Math.sqrt(y) + t_2;
double t_4 = Math.sqrt((1.0 + x));
double t_5 = Math.sqrt(x) + t_4;
double t_6 = t_3 * t_5;
double t_7 = Math.sqrt((1.0 + t));
double tmp;
if (t_1 <= 5e-8) {
tmp = (((0.5 * Math.sqrt((1.0 / z))) + (Math.sqrt(x) / t_6)) + ((Math.sqrt(y) / t_6) + (((1.0 / t_5) / t_3) * (t_2 + t_4)))) + (t_7 - Math.sqrt(t));
} else {
tmp = (t_1 + ((t_4 - Math.sqrt(x)) + (t_2 - Math.sqrt(y)))) + (((1.0 + t) - t) / (Math.sqrt(t) + 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)) - math.sqrt(z) t_2 = math.sqrt((1.0 + y)) t_3 = math.sqrt(y) + t_2 t_4 = math.sqrt((1.0 + x)) t_5 = math.sqrt(x) + t_4 t_6 = t_3 * t_5 t_7 = math.sqrt((1.0 + t)) tmp = 0 if t_1 <= 5e-8: tmp = (((0.5 * math.sqrt((1.0 / z))) + (math.sqrt(x) / t_6)) + ((math.sqrt(y) / t_6) + (((1.0 / t_5) / t_3) * (t_2 + t_4)))) + (t_7 - math.sqrt(t)) else: tmp = (t_1 + ((t_4 - math.sqrt(x)) + (t_2 - math.sqrt(y)))) + (((1.0 + t) - t) / (math.sqrt(t) + t_7)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(sqrt(y) + t_2) t_4 = sqrt(Float64(1.0 + x)) t_5 = Float64(sqrt(x) + t_4) t_6 = Float64(t_3 * t_5) t_7 = sqrt(Float64(1.0 + t)) tmp = 0.0 if (t_1 <= 5e-8) tmp = Float64(Float64(Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + Float64(sqrt(x) / t_6)) + Float64(Float64(sqrt(y) / t_6) + Float64(Float64(Float64(1.0 / t_5) / t_3) * Float64(t_2 + t_4)))) + Float64(t_7 - sqrt(t))); else tmp = Float64(Float64(t_1 + Float64(Float64(t_4 - sqrt(x)) + Float64(t_2 - sqrt(y)))) + Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + 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)) - sqrt(z);
t_2 = sqrt((1.0 + y));
t_3 = sqrt(y) + t_2;
t_4 = sqrt((1.0 + x));
t_5 = sqrt(x) + t_4;
t_6 = t_3 * t_5;
t_7 = sqrt((1.0 + t));
tmp = 0.0;
if (t_1 <= 5e-8)
tmp = (((0.5 * sqrt((1.0 / z))) + (sqrt(x) / t_6)) + ((sqrt(y) / t_6) + (((1.0 / t_5) / t_3) * (t_2 + t_4)))) + (t_7 - sqrt(t));
else
tmp = (t_1 + ((t_4 - sqrt(x)) + (t_2 - sqrt(y)))) + (((1.0 + t) - t) / (sqrt(t) + 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[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 * t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$1, 5e-8], N[(N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] / t$95$6), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[y], $MachinePrecision] / t$95$6), $MachinePrecision] + N[(N[(N[(1.0 / t$95$5), $MachinePrecision] / t$95$3), $MachinePrecision] * N[(t$95$2 + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$7 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{y} + t\_2\\
t_4 := \sqrt{1 + x}\\
t_5 := \sqrt{x} + t\_4\\
t_6 := t\_3 \cdot t\_5\\
t_7 := \sqrt{1 + t}\\
\mathbf{if}\;t\_1 \leq 5 \cdot 10^{-8}:\\
\;\;\;\;\left(\left(0.5 \cdot \sqrt{\frac{1}{z}} + \frac{\sqrt{x}}{t\_6}\right) + \left(\frac{\sqrt{y}}{t\_6} + \frac{\frac{1}{t\_5}}{t\_3} \cdot \left(t\_2 + t\_4\right)\right)\right) + \left(t\_7 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\right)\right) + \frac{\left(1 + t\right) - t}{\sqrt{t} + t\_7}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 4.9999999999999998e-8Initial program 87.6%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr88.3%
Taylor expanded in z around inf
Simplified95.9%
if 4.9999999999999998e-8 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 96.5%
flip--N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-commutativeN/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6496.7%
Applied egg-rr96.7%
Final simplification96.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (+ t_2 (+ (- t_3 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 1.0001)
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ t_2 (+ (/ 1.0 (+ (sqrt x) t_3)) (* 0.5 (sqrt (/ 1.0 y))))))
(if (<= t_4 2.001)
(- (+ (* 0.5 (sqrt (/ 1.0 z))) (+ t_1 t_3)) (+ (sqrt x) (sqrt y)))
(+
(+ t_2 (- (- (+ t_3 (+ 1.0 (* 0.5 y))) (sqrt x)) (sqrt y)))
(/ (- (+ 1.0 t) t) (+ (sqrt t) (pow (+ 1.0 t) 0.5))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((1.0 + x));
double t_4 = t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 1.0001) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + ((1.0 / (sqrt(x) + t_3)) + (0.5 * sqrt((1.0 / y)))));
} else if (t_4 <= 2.001) {
tmp = ((0.5 * sqrt((1.0 / z))) + (t_1 + t_3)) - (sqrt(x) + sqrt(y));
} else {
tmp = (t_2 + (((t_3 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y))) + (((1.0 + t) - t) / (sqrt(t) + pow((1.0 + t), 0.5)));
}
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) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((z + 1.0d0)) - sqrt(z)
t_3 = sqrt((1.0d0 + x))
t_4 = t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)))
if (t_4 <= 1.0001d0) then
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + (t_2 + ((1.0d0 / (sqrt(x) + t_3)) + (0.5d0 * sqrt((1.0d0 / y)))))
else if (t_4 <= 2.001d0) then
tmp = ((0.5d0 * sqrt((1.0d0 / z))) + (t_1 + t_3)) - (sqrt(x) + sqrt(y))
else
tmp = (t_2 + (((t_3 + (1.0d0 + (0.5d0 * y))) - sqrt(x)) - sqrt(y))) + (((1.0d0 + t) - t) / (sqrt(t) + ((1.0d0 + t) ** 0.5d0)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_3 = Math.sqrt((1.0 + x));
double t_4 = t_2 + ((t_3 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)));
double tmp;
if (t_4 <= 1.0001) {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + (t_2 + ((1.0 / (Math.sqrt(x) + t_3)) + (0.5 * Math.sqrt((1.0 / y)))));
} else if (t_4 <= 2.001) {
tmp = ((0.5 * Math.sqrt((1.0 / z))) + (t_1 + t_3)) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = (t_2 + (((t_3 + (1.0 + (0.5 * y))) - Math.sqrt(x)) - Math.sqrt(y))) + (((1.0 + t) - t) / (Math.sqrt(t) + Math.pow((1.0 + t), 0.5)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((z + 1.0)) - math.sqrt(z) t_3 = math.sqrt((1.0 + x)) t_4 = t_2 + ((t_3 - math.sqrt(x)) + (t_1 - math.sqrt(y))) tmp = 0 if t_4 <= 1.0001: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + (t_2 + ((1.0 / (math.sqrt(x) + t_3)) + (0.5 * math.sqrt((1.0 / y))))) elif t_4 <= 2.001: tmp = ((0.5 * math.sqrt((1.0 / z))) + (t_1 + t_3)) - (math.sqrt(x) + math.sqrt(y)) else: tmp = (t_2 + (((t_3 + (1.0 + (0.5 * y))) - math.sqrt(x)) - math.sqrt(y))) + (((1.0 + t) - t) / (math.sqrt(t) + math.pow((1.0 + t), 0.5))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = sqrt(Float64(1.0 + x)) t_4 = Float64(t_2 + Float64(Float64(t_3 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_2 + Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + Float64(0.5 * sqrt(Float64(1.0 / y)))))); elseif (t_4 <= 2.001) tmp = Float64(Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + Float64(t_1 + t_3)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(t_2 + Float64(Float64(Float64(t_3 + Float64(1.0 + Float64(0.5 * y))) - sqrt(x)) - sqrt(y))) + Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + (Float64(1.0 + t) ^ 0.5)))); 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((1.0 + y));
t_2 = sqrt((z + 1.0)) - sqrt(z);
t_3 = sqrt((1.0 + x));
t_4 = t_2 + ((t_3 - sqrt(x)) + (t_1 - sqrt(y)));
tmp = 0.0;
if (t_4 <= 1.0001)
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_2 + ((1.0 / (sqrt(x) + t_3)) + (0.5 * sqrt((1.0 / y)))));
elseif (t_4 <= 2.001)
tmp = ((0.5 * sqrt((1.0 / z))) + (t_1 + t_3)) - (sqrt(x) + sqrt(y));
else
tmp = (t_2 + (((t_3 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y))) + (((1.0 + t) - t) / (sqrt(t) + ((1.0 + t) ^ 0.5)));
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[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.001], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + N[(N[(N[(t$95$3 + N[(1.0 + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + N[Power[N[(1.0 + t), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{1 + x}\\
t_4 := t\_2 + \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_2 + \left(\frac{1}{\sqrt{x} + t\_3} + 0.5 \cdot \sqrt{\frac{1}{y}}\right)\right)\\
\mathbf{elif}\;t\_4 \leq 2.001:\\
\;\;\;\;\left(0.5 \cdot \sqrt{\frac{1}{z}} + \left(t\_1 + t\_3\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + \left(\left(\left(t\_3 + \left(1 + 0.5 \cdot y\right)\right) - \sqrt{x}\right) - \sqrt{y}\right)\right) + \frac{\left(1 + t\right) - t}{\sqrt{t} + {\left(1 + t\right)}^{0.5}}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 86.4%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.4%
Taylor expanded in y around inf
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6467.5%
Simplified67.5%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00099999999999989Initial program 98.3%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6429.0%
Simplified29.0%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6415.8%
Simplified15.8%
if 2.00099999999999989 < (+.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 98.6%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6494.9%
Simplified94.9%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6495.8%
Applied egg-rr95.8%
Final simplification54.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (+ (sqrt y) t_1))
(t_3 (+ (sqrt x) (pow (+ 1.0 x) 0.5)))
(t_4 (sqrt (+ z 1.0)))
(t_5 (- t_4 (sqrt z)))
(t_6 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_7 (sqrt (+ 1.0 x))))
(if (<= (+ t_5 (+ (- t_7 (sqrt x)) (- t_1 (sqrt y)))) 1.000001)
(+
t_6
(+
t_5
(+
(+ (/ 1.0 (+ (sqrt x) t_7)) (* 0.5 (sqrt (/ 1.0 y))))
(* -0.125 (sqrt (/ 1.0 (* y (* y y))))))))
(+
t_6
(+
(/ (+ (* t_2 (- (+ 1.0 x) x)) (* t_3 (- (+ 1.0 y) y))) (* t_2 t_3))
(/ (- (+ z 1.0) z) (+ (sqrt z) t_4)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt(y) + t_1;
double t_3 = sqrt(x) + pow((1.0 + x), 0.5);
double t_4 = sqrt((z + 1.0));
double t_5 = t_4 - sqrt(z);
double t_6 = sqrt((1.0 + t)) - sqrt(t);
double t_7 = sqrt((1.0 + x));
double tmp;
if ((t_5 + ((t_7 - sqrt(x)) + (t_1 - sqrt(y)))) <= 1.000001) {
tmp = t_6 + (t_5 + (((1.0 / (sqrt(x) + t_7)) + (0.5 * sqrt((1.0 / y)))) + (-0.125 * sqrt((1.0 / (y * (y * y)))))));
} else {
tmp = t_6 + ((((t_2 * ((1.0 + x) - x)) + (t_3 * ((1.0 + y) - y))) / (t_2 * t_3)) + (((z + 1.0) - z) / (sqrt(z) + 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((1.0d0 + y))
t_2 = sqrt(y) + t_1
t_3 = sqrt(x) + ((1.0d0 + x) ** 0.5d0)
t_4 = sqrt((z + 1.0d0))
t_5 = t_4 - sqrt(z)
t_6 = sqrt((1.0d0 + t)) - sqrt(t)
t_7 = sqrt((1.0d0 + x))
if ((t_5 + ((t_7 - sqrt(x)) + (t_1 - sqrt(y)))) <= 1.000001d0) then
tmp = t_6 + (t_5 + (((1.0d0 / (sqrt(x) + t_7)) + (0.5d0 * sqrt((1.0d0 / y)))) + ((-0.125d0) * sqrt((1.0d0 / (y * (y * y)))))))
else
tmp = t_6 + ((((t_2 * ((1.0d0 + x) - x)) + (t_3 * ((1.0d0 + y) - y))) / (t_2 * t_3)) + (((z + 1.0d0) - z) / (sqrt(z) + 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((1.0 + y));
double t_2 = Math.sqrt(y) + t_1;
double t_3 = Math.sqrt(x) + Math.pow((1.0 + x), 0.5);
double t_4 = Math.sqrt((z + 1.0));
double t_5 = t_4 - Math.sqrt(z);
double t_6 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_7 = Math.sqrt((1.0 + x));
double tmp;
if ((t_5 + ((t_7 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)))) <= 1.000001) {
tmp = t_6 + (t_5 + (((1.0 / (Math.sqrt(x) + t_7)) + (0.5 * Math.sqrt((1.0 / y)))) + (-0.125 * Math.sqrt((1.0 / (y * (y * y)))))));
} else {
tmp = t_6 + ((((t_2 * ((1.0 + x) - x)) + (t_3 * ((1.0 + y) - y))) / (t_2 * t_3)) + (((z + 1.0) - z) / (Math.sqrt(z) + t_4)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt(y) + t_1 t_3 = math.sqrt(x) + math.pow((1.0 + x), 0.5) t_4 = math.sqrt((z + 1.0)) t_5 = t_4 - math.sqrt(z) t_6 = math.sqrt((1.0 + t)) - math.sqrt(t) t_7 = math.sqrt((1.0 + x)) tmp = 0 if (t_5 + ((t_7 - math.sqrt(x)) + (t_1 - math.sqrt(y)))) <= 1.000001: tmp = t_6 + (t_5 + (((1.0 / (math.sqrt(x) + t_7)) + (0.5 * math.sqrt((1.0 / y)))) + (-0.125 * math.sqrt((1.0 / (y * (y * y))))))) else: tmp = t_6 + ((((t_2 * ((1.0 + x) - x)) + (t_3 * ((1.0 + y) - y))) / (t_2 * t_3)) + (((z + 1.0) - z) / (math.sqrt(z) + t_4))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(y) + t_1) t_3 = Float64(sqrt(x) + (Float64(1.0 + x) ^ 0.5)) t_4 = sqrt(Float64(z + 1.0)) t_5 = Float64(t_4 - sqrt(z)) t_6 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_7 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_5 + Float64(Float64(t_7 - sqrt(x)) + Float64(t_1 - sqrt(y)))) <= 1.000001) tmp = Float64(t_6 + Float64(t_5 + Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_7)) + Float64(0.5 * sqrt(Float64(1.0 / y)))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(y * Float64(y * y)))))))); else tmp = Float64(t_6 + Float64(Float64(Float64(Float64(t_2 * Float64(Float64(1.0 + x) - x)) + Float64(t_3 * Float64(Float64(1.0 + y) - y))) / Float64(t_2 * t_3)) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + 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((1.0 + y));
t_2 = sqrt(y) + t_1;
t_3 = sqrt(x) + ((1.0 + x) ^ 0.5);
t_4 = sqrt((z + 1.0));
t_5 = t_4 - sqrt(z);
t_6 = sqrt((1.0 + t)) - sqrt(t);
t_7 = sqrt((1.0 + x));
tmp = 0.0;
if ((t_5 + ((t_7 - sqrt(x)) + (t_1 - sqrt(y)))) <= 1.000001)
tmp = t_6 + (t_5 + (((1.0 / (sqrt(x) + t_7)) + (0.5 * sqrt((1.0 / y)))) + (-0.125 * sqrt((1.0 / (y * (y * y)))))));
else
tmp = t_6 + ((((t_2 * ((1.0 + x) - x)) + (t_3 * ((1.0 + y) - y))) / (t_2 * t_3)) + (((z + 1.0) - z) / (sqrt(z) + 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[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[x], $MachinePrecision] + N[Power[N[(1.0 + x), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$5 + N[(N[(t$95$7 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.000001], N[(t$95$6 + N[(t$95$5 + N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$6 + N[(N[(N[(N[(t$95$2 * N[(N[(1.0 + x), $MachinePrecision] - x), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 * N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$2 * t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{y} + t\_1\\
t_3 := \sqrt{x} + {\left(1 + x\right)}^{0.5}\\
t_4 := \sqrt{z + 1}\\
t_5 := t\_4 - \sqrt{z}\\
t_6 := \sqrt{1 + t} - \sqrt{t}\\
t_7 := \sqrt{1 + x}\\
\mathbf{if}\;t\_5 + \left(\left(t\_7 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) \leq 1.000001:\\
\;\;\;\;t\_6 + \left(t\_5 + \left(\left(\frac{1}{\sqrt{x} + t\_7} + 0.5 \cdot \sqrt{\frac{1}{y}}\right) + -0.125 \cdot \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6 + \left(\frac{t\_2 \cdot \left(\left(1 + x\right) - x\right) + t\_3 \cdot \left(\left(1 + y\right) - y\right)}{t\_2 \cdot t\_3} + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_4}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000099999999992Initial program 86.5%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.3%
Taylor expanded in y around inf
+-commutativeN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f6467.0%
Simplified67.0%
if 1.00000099999999992 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.2%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr99.1%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6499.1%
Applied egg-rr99.1%
Final simplification82.6%
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 (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (/ 1.0 y)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (+ t_1 (+ (- t_4 (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y))))))
(if (<= t_5 0.0002)
(+
t_3
(+
(* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 z)) t_2)))
(* -0.125 (sqrt (/ 1.0 (* x (* x x)))))))
(if (<= t_5 1.5)
(+
t_3
(+
t_4
(- (+ (* 0.5 t_2) (* -0.125 (sqrt (/ 1.0 (* y (* y y)))))) (sqrt x))))
(+ t_3 (+ t_1 (- (- (+ 1.0 (+ 1.0 (* 0.5 y))) (sqrt x)) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((1.0 / y));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double t_5 = t_1 + ((t_4 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y)));
double tmp;
if (t_5 <= 0.0002) {
tmp = t_3 + ((0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / z)) + t_2))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 1.5) {
tmp = t_3 + (t_4 + (((0.5 * t_2) + (-0.125 * sqrt((1.0 / (y * (y * y)))))) - sqrt(x)));
} else {
tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((1.0d0 / y))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + x))
t_5 = t_1 + ((t_4 - sqrt(x)) + (sqrt((1.0d0 + y)) - sqrt(y)))
if (t_5 <= 0.0002d0) then
tmp = t_3 + ((0.5d0 * (sqrt((1.0d0 / x)) + (sqrt((1.0d0 / z)) + t_2))) + ((-0.125d0) * sqrt((1.0d0 / (x * (x * x))))))
else if (t_5 <= 1.5d0) then
tmp = t_3 + (t_4 + (((0.5d0 * t_2) + ((-0.125d0) * sqrt((1.0d0 / (y * (y * y)))))) - sqrt(x)))
else
tmp = t_3 + (t_1 + (((1.0d0 + (1.0d0 + (0.5d0 * y))) - sqrt(x)) - sqrt(y)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 / y));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + x));
double t_5 = t_1 + ((t_4 - Math.sqrt(x)) + (Math.sqrt((1.0 + y)) - Math.sqrt(y)));
double tmp;
if (t_5 <= 0.0002) {
tmp = t_3 + ((0.5 * (Math.sqrt((1.0 / x)) + (Math.sqrt((1.0 / z)) + t_2))) + (-0.125 * Math.sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 1.5) {
tmp = t_3 + (t_4 + (((0.5 * t_2) + (-0.125 * Math.sqrt((1.0 / (y * (y * y)))))) - Math.sqrt(x)));
} else {
tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - Math.sqrt(x)) - Math.sqrt(y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((1.0 / y)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + x)) t_5 = t_1 + ((t_4 - math.sqrt(x)) + (math.sqrt((1.0 + y)) - math.sqrt(y))) tmp = 0 if t_5 <= 0.0002: tmp = t_3 + ((0.5 * (math.sqrt((1.0 / x)) + (math.sqrt((1.0 / z)) + t_2))) + (-0.125 * math.sqrt((1.0 / (x * (x * x)))))) elif t_5 <= 1.5: tmp = t_3 + (t_4 + (((0.5 * t_2) + (-0.125 * math.sqrt((1.0 / (y * (y * y)))))) - math.sqrt(x))) else: tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - math.sqrt(x)) - math.sqrt(y))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(1.0 / y)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) t_5 = Float64(t_1 + Float64(Float64(t_4 - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y)))) tmp = 0.0 if (t_5 <= 0.0002) tmp = Float64(t_3 + Float64(Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / z)) + t_2))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(x * Float64(x * x))))))); elseif (t_5 <= 1.5) tmp = Float64(t_3 + Float64(t_4 + Float64(Float64(Float64(0.5 * t_2) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(y * Float64(y * y)))))) - sqrt(x)))); else tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(Float64(1.0 + Float64(1.0 + Float64(0.5 * y))) - sqrt(x)) - sqrt(y)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((1.0 / y));
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + x));
t_5 = t_1 + ((t_4 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y)));
tmp = 0.0;
if (t_5 <= 0.0002)
tmp = t_3 + ((0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / z)) + t_2))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
elseif (t_5 <= 1.5)
tmp = t_3 + (t_4 + (((0.5 * t_2) + (-0.125 * sqrt((1.0 / (y * (y * y)))))) - sqrt(x)));
else
tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0002], N[(t$95$3 + N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.125 * N[Sqrt[N[(1.0 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.5], N[(t$95$3 + N[(t$95$4 + N[(N[(N[(0.5 * t$95$2), $MachinePrecision] + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(N[(N[(1.0 + N[(1.0 + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{\frac{1}{y}}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
t_5 := t\_1 + \left(\left(t\_4 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_5 \leq 0.0002:\\
\;\;\;\;t\_3 + \left(0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{z}} + t\_2\right)\right) + -0.125 \cdot \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}\right)\\
\mathbf{elif}\;t\_5 \leq 1.5:\\
\;\;\;\;t\_3 + \left(t\_4 + \left(\left(0.5 \cdot t\_2 + -0.125 \cdot \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}\right) - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(\left(1 + \left(1 + 0.5 \cdot y\right)\right) - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000000000000001e-4Initial program 62.0%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6458.9%
Simplified58.9%
Taylor expanded in y around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6458.1%
Simplified58.1%
Taylor expanded in x around inf
+-commutativeN/A
+-lowering-+.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
Simplified84.6%
if 2.0000000000000001e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.5Initial program 95.3%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6443.0%
Simplified43.0%
Taylor expanded in y around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified40.1%
if 1.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6452.5%
Simplified52.5%
Taylor expanded in x around 0
Simplified44.9%
Final simplification48.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (+ t_2 (+ (- t_4 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_5 1.0001)
(+ t_3 (+ t_2 (+ (/ 1.0 (+ (sqrt x) t_4)) (* 0.5 (sqrt (/ 1.0 y))))))
(if (<= t_5 2.001)
(- (+ (* 0.5 (sqrt (/ 1.0 z))) (+ t_1 t_4)) (+ (sqrt x) (sqrt y)))
(+ t_3 (+ t_2 (- (- (+ 1.0 (+ 1.0 (* 0.5 y))) (sqrt x)) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double t_5 = t_2 + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_5 <= 1.0001) {
tmp = t_3 + (t_2 + ((1.0 / (sqrt(x) + t_4)) + (0.5 * sqrt((1.0 / y)))));
} else if (t_5 <= 2.001) {
tmp = ((0.5 * sqrt((1.0 / z))) + (t_1 + t_4)) - (sqrt(x) + sqrt(y));
} else {
tmp = t_3 + (t_2 + (((1.0 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((z + 1.0d0)) - sqrt(z)
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + x))
t_5 = t_2 + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)))
if (t_5 <= 1.0001d0) then
tmp = t_3 + (t_2 + ((1.0d0 / (sqrt(x) + t_4)) + (0.5d0 * sqrt((1.0d0 / y)))))
else if (t_5 <= 2.001d0) then
tmp = ((0.5d0 * sqrt((1.0d0 / z))) + (t_1 + t_4)) - (sqrt(x) + sqrt(y))
else
tmp = t_3 + (t_2 + (((1.0d0 + (1.0d0 + (0.5d0 * y))) - sqrt(x)) - sqrt(y)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + x));
double t_5 = t_2 + ((t_4 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)));
double tmp;
if (t_5 <= 1.0001) {
tmp = t_3 + (t_2 + ((1.0 / (Math.sqrt(x) + t_4)) + (0.5 * Math.sqrt((1.0 / y)))));
} else if (t_5 <= 2.001) {
tmp = ((0.5 * Math.sqrt((1.0 / z))) + (t_1 + t_4)) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = t_3 + (t_2 + (((1.0 + (1.0 + (0.5 * y))) - Math.sqrt(x)) - Math.sqrt(y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((z + 1.0)) - math.sqrt(z) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + x)) t_5 = t_2 + ((t_4 - math.sqrt(x)) + (t_1 - math.sqrt(y))) tmp = 0 if t_5 <= 1.0001: tmp = t_3 + (t_2 + ((1.0 / (math.sqrt(x) + t_4)) + (0.5 * math.sqrt((1.0 / y))))) elif t_5 <= 2.001: tmp = ((0.5 * math.sqrt((1.0 / z))) + (t_1 + t_4)) - (math.sqrt(x) + math.sqrt(y)) else: tmp = t_3 + (t_2 + (((1.0 + (1.0 + (0.5 * y))) - math.sqrt(x)) - math.sqrt(y))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) t_5 = Float64(t_2 + Float64(Float64(t_4 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_5 <= 1.0001) tmp = Float64(t_3 + Float64(t_2 + Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + Float64(0.5 * sqrt(Float64(1.0 / y)))))); elseif (t_5 <= 2.001) tmp = Float64(Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + Float64(t_1 + t_4)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(t_3 + Float64(t_2 + Float64(Float64(Float64(1.0 + Float64(1.0 + Float64(0.5 * y))) - sqrt(x)) - sqrt(y)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((z + 1.0)) - sqrt(z);
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + x));
t_5 = t_2 + ((t_4 - sqrt(x)) + (t_1 - sqrt(y)));
tmp = 0.0;
if (t_5 <= 1.0001)
tmp = t_3 + (t_2 + ((1.0 / (sqrt(x) + t_4)) + (0.5 * sqrt((1.0 / y)))));
elseif (t_5 <= 2.001)
tmp = ((0.5 * sqrt((1.0 / z))) + (t_1 + t_4)) - (sqrt(x) + sqrt(y));
else
tmp = t_3 + (t_2 + (((1.0 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$2 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0001], N[(t$95$3 + N[(t$95$2 + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.001], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + t$95$4), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$2 + N[(N[(N[(1.0 + N[(1.0 + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
t_5 := t\_2 + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_5 \leq 1.0001:\\
\;\;\;\;t\_3 + \left(t\_2 + \left(\frac{1}{\sqrt{x} + t\_4} + 0.5 \cdot \sqrt{\frac{1}{y}}\right)\right)\\
\mathbf{elif}\;t\_5 \leq 2.001:\\
\;\;\;\;\left(0.5 \cdot \sqrt{\frac{1}{z}} + \left(t\_1 + t\_4\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_2 + \left(\left(\left(1 + \left(1 + 0.5 \cdot y\right)\right) - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 86.4%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.4%
Taylor expanded in y around inf
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6467.5%
Simplified67.5%
if 1.00009999999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00099999999999989Initial program 98.3%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6429.0%
Simplified29.0%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6415.8%
Simplified15.8%
if 2.00099999999999989 < (+.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 98.6%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6494.9%
Simplified94.9%
Taylor expanded in x around 0
Simplified87.3%
Final simplification53.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= (+ t_2 (+ (- t_4 (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y)))) 1.5)
(+ t_3 (+ t_2 (+ (/ 1.0 (+ (sqrt x) t_4)) (* 0.5 (sqrt (/ 1.0 y))))))
(+
t_3
(+
(/ (- (+ z 1.0) z) (+ (sqrt z) t_1))
(- (- (+ t_4 (+ 1.0 (* 0.5 y))) (sqrt x)) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double tmp;
if ((t_2 + ((t_4 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y)))) <= 1.5) {
tmp = t_3 + (t_2 + ((1.0 / (sqrt(x) + t_4)) + (0.5 * sqrt((1.0 / y)))));
} else {
tmp = t_3 + ((((z + 1.0) - z) / (sqrt(z) + t_1)) + (((t_4 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = t_1 - sqrt(z)
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + x))
if ((t_2 + ((t_4 - sqrt(x)) + (sqrt((1.0d0 + y)) - sqrt(y)))) <= 1.5d0) then
tmp = t_3 + (t_2 + ((1.0d0 / (sqrt(x) + t_4)) + (0.5d0 * sqrt((1.0d0 / y)))))
else
tmp = t_3 + ((((z + 1.0d0) - z) / (sqrt(z) + t_1)) + (((t_4 + (1.0d0 + (0.5d0 * y))) - sqrt(x)) - sqrt(y)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + x));
double tmp;
if ((t_2 + ((t_4 - Math.sqrt(x)) + (Math.sqrt((1.0 + y)) - Math.sqrt(y)))) <= 1.5) {
tmp = t_3 + (t_2 + ((1.0 / (Math.sqrt(x) + t_4)) + (0.5 * Math.sqrt((1.0 / y)))));
} else {
tmp = t_3 + ((((z + 1.0) - z) / (Math.sqrt(z) + t_1)) + (((t_4 + (1.0 + (0.5 * y))) - Math.sqrt(x)) - Math.sqrt(y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + x)) tmp = 0 if (t_2 + ((t_4 - math.sqrt(x)) + (math.sqrt((1.0 + y)) - math.sqrt(y)))) <= 1.5: tmp = t_3 + (t_2 + ((1.0 / (math.sqrt(x) + t_4)) + (0.5 * math.sqrt((1.0 / y))))) else: tmp = t_3 + ((((z + 1.0) - z) / (math.sqrt(z) + t_1)) + (((t_4 + (1.0 + (0.5 * y))) - math.sqrt(x)) - math.sqrt(y))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_2 + Float64(Float64(t_4 - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y)))) <= 1.5) tmp = Float64(t_3 + Float64(t_2 + Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + Float64(0.5 * sqrt(Float64(1.0 / y)))))); else tmp = Float64(t_3 + Float64(Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1)) + Float64(Float64(Float64(t_4 + Float64(1.0 + Float64(0.5 * y))) - sqrt(x)) - sqrt(y)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = t_1 - sqrt(z);
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + x));
tmp = 0.0;
if ((t_2 + ((t_4 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y)))) <= 1.5)
tmp = t_3 + (t_2 + ((1.0 / (sqrt(x) + t_4)) + (0.5 * sqrt((1.0 / y)))));
else
tmp = t_3 + ((((z + 1.0) - z) / (sqrt(z) + t_1)) + (((t_4 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.5], N[(t$95$3 + N[(t$95$2 + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$4 + N[(1.0 + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_2 + \left(\left(t\_4 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\right) \leq 1.5:\\
\;\;\;\;t\_3 + \left(t\_2 + \left(\frac{1}{\sqrt{x} + t\_4} + 0.5 \cdot \sqrt{\frac{1}{y}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1} + \left(\left(\left(t\_4 + \left(1 + 0.5 \cdot y\right)\right) - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.5Initial program 86.8%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.8%
Taylor expanded in y around inf
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6467.5%
Simplified67.5%
if 1.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.4%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6452.5%
Simplified52.5%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6452.5%
Applied egg-rr52.5%
Final simplification60.6%
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 (+ 1.0 (sqrt x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (+ (sqrt y) t_3))
(t_5 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- t_3 (sqrt y)) 1e-6)
(+
t_5
(+
(- t_2 (sqrt z))
(+
(+ (/ 1.0 (+ (sqrt x) (sqrt (+ 1.0 x)))) (* 0.5 (sqrt (/ 1.0 y))))
(* -0.125 (sqrt (/ 1.0 (* y (* y y))))))))
(+
t_5
(+ (/ (- (+ z 1.0) z) (+ (sqrt z) t_2)) (/ (+ t_4 t_1) (* t_4 t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = 1.0 + sqrt(x);
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt(y) + t_3;
double t_5 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((t_3 - sqrt(y)) <= 1e-6) {
tmp = t_5 + ((t_2 - sqrt(z)) + (((1.0 / (sqrt(x) + sqrt((1.0 + x)))) + (0.5 * sqrt((1.0 / y)))) + (-0.125 * sqrt((1.0 / (y * (y * y)))))));
} else {
tmp = t_5 + ((((z + 1.0) - z) / (sqrt(z) + t_2)) + ((t_4 + t_1) / (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) :: tmp
t_1 = 1.0d0 + sqrt(x)
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt((1.0d0 + y))
t_4 = sqrt(y) + t_3
t_5 = sqrt((1.0d0 + t)) - sqrt(t)
if ((t_3 - sqrt(y)) <= 1d-6) then
tmp = t_5 + ((t_2 - sqrt(z)) + (((1.0d0 / (sqrt(x) + sqrt((1.0d0 + x)))) + (0.5d0 * sqrt((1.0d0 / y)))) + ((-0.125d0) * sqrt((1.0d0 / (y * (y * y)))))))
else
tmp = t_5 + ((((z + 1.0d0) - z) / (sqrt(z) + t_2)) + ((t_4 + t_1) / (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 = 1.0 + Math.sqrt(x);
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt((1.0 + y));
double t_4 = Math.sqrt(y) + t_3;
double t_5 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if ((t_3 - Math.sqrt(y)) <= 1e-6) {
tmp = t_5 + ((t_2 - Math.sqrt(z)) + (((1.0 / (Math.sqrt(x) + Math.sqrt((1.0 + x)))) + (0.5 * Math.sqrt((1.0 / y)))) + (-0.125 * Math.sqrt((1.0 / (y * (y * y)))))));
} else {
tmp = t_5 + ((((z + 1.0) - z) / (Math.sqrt(z) + t_2)) + ((t_4 + t_1) / (t_4 * t_1)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = 1.0 + math.sqrt(x) t_2 = math.sqrt((z + 1.0)) t_3 = math.sqrt((1.0 + y)) t_4 = math.sqrt(y) + t_3 t_5 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if (t_3 - math.sqrt(y)) <= 1e-6: tmp = t_5 + ((t_2 - math.sqrt(z)) + (((1.0 / (math.sqrt(x) + math.sqrt((1.0 + x)))) + (0.5 * math.sqrt((1.0 / y)))) + (-0.125 * math.sqrt((1.0 / (y * (y * y))))))) else: tmp = t_5 + ((((z + 1.0) - z) / (math.sqrt(z) + t_2)) + ((t_4 + t_1) / (t_4 * t_1))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(1.0 + sqrt(x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(sqrt(y) + t_3) t_5 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(t_3 - sqrt(y)) <= 1e-6) tmp = Float64(t_5 + Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(1.0 + x)))) + Float64(0.5 * sqrt(Float64(1.0 / y)))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(y * Float64(y * y)))))))); else tmp = Float64(t_5 + Float64(Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_2)) + Float64(Float64(t_4 + t_1) / Float64(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 = 1.0 + sqrt(x);
t_2 = sqrt((z + 1.0));
t_3 = sqrt((1.0 + y));
t_4 = sqrt(y) + t_3;
t_5 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if ((t_3 - sqrt(y)) <= 1e-6)
tmp = t_5 + ((t_2 - sqrt(z)) + (((1.0 / (sqrt(x) + sqrt((1.0 + x)))) + (0.5 * sqrt((1.0 / y)))) + (-0.125 * sqrt((1.0 / (y * (y * y)))))));
else
tmp = t_5 + ((((z + 1.0) - z) / (sqrt(z) + t_2)) + ((t_4 + t_1) / (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[(1.0 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 1e-6], N[(t$95$5 + N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$5 + N[(N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 + t$95$1), $MachinePrecision] / N[(t$95$4 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := 1 + \sqrt{x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{y} + t\_3\\
t_5 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_3 - \sqrt{y} \leq 10^{-6}:\\
\;\;\;\;t\_5 + \left(\left(t\_2 - \sqrt{z}\right) + \left(\left(\frac{1}{\sqrt{x} + \sqrt{1 + x}} + 0.5 \cdot \sqrt{\frac{1}{y}}\right) + -0.125 \cdot \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_5 + \left(\frac{\left(z + 1\right) - z}{\sqrt{z} + t\_2} + \frac{t\_4 + t\_1}{t\_4 \cdot t\_1}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 9.99999999999999955e-7Initial program 87.1%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.5%
Taylor expanded in y around inf
+-commutativeN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f6491.0%
Simplified91.0%
if 9.99999999999999955e-7 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.9%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr99.2%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6499.2%
Applied egg-rr99.2%
Taylor expanded in x around 0
/-lowering-/.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6495.7%
Simplified95.7%
Final simplification93.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= t_2 0.0005)
(+
t_3
(+
(- t_1 (sqrt z))
(+
(+ (/ 1.0 (+ (sqrt x) t_4)) (* 0.5 (sqrt (/ 1.0 y))))
(* -0.125 (sqrt (/ 1.0 (* y (* y y))))))))
(+
t_3
(+ (+ (- t_4 (sqrt x)) t_2) (/ (- (+ z 1.0) z) (+ (sqrt z) t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((1.0 + y)) - sqrt(y);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double tmp;
if (t_2 <= 0.0005) {
tmp = t_3 + ((t_1 - sqrt(z)) + (((1.0 / (sqrt(x) + t_4)) + (0.5 * sqrt((1.0 / y)))) + (-0.125 * sqrt((1.0 / (y * (y * y)))))));
} else {
tmp = t_3 + (((t_4 - sqrt(x)) + t_2) + (((z + 1.0) - z) / (sqrt(z) + t_1)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = sqrt((1.0d0 + y)) - sqrt(y)
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + x))
if (t_2 <= 0.0005d0) then
tmp = t_3 + ((t_1 - sqrt(z)) + (((1.0d0 / (sqrt(x) + t_4)) + (0.5d0 * sqrt((1.0d0 / y)))) + ((-0.125d0) * sqrt((1.0d0 / (y * (y * y)))))))
else
tmp = t_3 + (((t_4 - sqrt(x)) + t_2) + (((z + 1.0d0) - z) / (sqrt(z) + t_1)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double t_2 = Math.sqrt((1.0 + y)) - Math.sqrt(y);
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + x));
double tmp;
if (t_2 <= 0.0005) {
tmp = t_3 + ((t_1 - Math.sqrt(z)) + (((1.0 / (Math.sqrt(x) + t_4)) + (0.5 * Math.sqrt((1.0 / y)))) + (-0.125 * Math.sqrt((1.0 / (y * (y * y)))))));
} else {
tmp = t_3 + (((t_4 - Math.sqrt(x)) + t_2) + (((z + 1.0) - z) / (Math.sqrt(z) + t_1)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = math.sqrt((1.0 + y)) - math.sqrt(y) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + x)) tmp = 0 if t_2 <= 0.0005: tmp = t_3 + ((t_1 - math.sqrt(z)) + (((1.0 / (math.sqrt(x) + t_4)) + (0.5 * math.sqrt((1.0 / y)))) + (-0.125 * math.sqrt((1.0 / (y * (y * y))))))) else: tmp = t_3 + (((t_4 - math.sqrt(x)) + t_2) + (((z + 1.0) - z) / (math.sqrt(z) + t_1))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (t_2 <= 0.0005) tmp = Float64(t_3 + Float64(Float64(t_1 - sqrt(z)) + Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + Float64(0.5 * sqrt(Float64(1.0 / y)))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(y * Float64(y * y)))))))); else tmp = Float64(t_3 + Float64(Float64(Float64(t_4 - sqrt(x)) + t_2) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = sqrt((1.0 + y)) - sqrt(y);
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + x));
tmp = 0.0;
if (t_2 <= 0.0005)
tmp = t_3 + ((t_1 - sqrt(z)) + (((1.0 / (sqrt(x) + t_4)) + (0.5 * sqrt((1.0 / y)))) + (-0.125 * sqrt((1.0 / (y * (y * y)))))));
else
tmp = t_3 + (((t_4 - sqrt(x)) + t_2) + (((z + 1.0) - z) / (sqrt(z) + t_1)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 0.0005], N[(t$95$3 + N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(N[(t$95$4 - N[Sqrt[x], $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]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{1 + y} - \sqrt{y}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_2 \leq 0.0005:\\
\;\;\;\;t\_3 + \left(\left(t\_1 - \sqrt{z}\right) + \left(\left(\frac{1}{\sqrt{x} + t\_4} + 0.5 \cdot \sqrt{\frac{1}{y}}\right) + -0.125 \cdot \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(\left(t\_4 - \sqrt{x}\right) + t\_2\right) + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 5.0000000000000001e-4Initial program 86.9%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.7%
Taylor expanded in y around inf
+-commutativeN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f6491.1%
Simplified91.1%
if 5.0000000000000001e-4 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 98.3%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f6498.3%
Applied egg-rr98.3%
Final simplification94.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= t_2 4e-6)
(+
t_3
(+
(- t_1 (sqrt z))
(+ (/ 1.0 (+ (sqrt x) t_4)) (* 0.5 (sqrt (/ 1.0 y))))))
(+
t_3
(+ (+ (- t_4 (sqrt x)) t_2) (/ (- (+ z 1.0) z) (+ (sqrt z) t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((1.0 + y)) - sqrt(y);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double tmp;
if (t_2 <= 4e-6) {
tmp = t_3 + ((t_1 - sqrt(z)) + ((1.0 / (sqrt(x) + t_4)) + (0.5 * sqrt((1.0 / y)))));
} else {
tmp = t_3 + (((t_4 - sqrt(x)) + t_2) + (((z + 1.0) - z) / (sqrt(z) + t_1)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = sqrt((1.0d0 + y)) - sqrt(y)
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + x))
if (t_2 <= 4d-6) then
tmp = t_3 + ((t_1 - sqrt(z)) + ((1.0d0 / (sqrt(x) + t_4)) + (0.5d0 * sqrt((1.0d0 / y)))))
else
tmp = t_3 + (((t_4 - sqrt(x)) + t_2) + (((z + 1.0d0) - z) / (sqrt(z) + t_1)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double t_2 = Math.sqrt((1.0 + y)) - Math.sqrt(y);
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + x));
double tmp;
if (t_2 <= 4e-6) {
tmp = t_3 + ((t_1 - Math.sqrt(z)) + ((1.0 / (Math.sqrt(x) + t_4)) + (0.5 * Math.sqrt((1.0 / y)))));
} else {
tmp = t_3 + (((t_4 - Math.sqrt(x)) + t_2) + (((z + 1.0) - z) / (Math.sqrt(z) + t_1)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = math.sqrt((1.0 + y)) - math.sqrt(y) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + x)) tmp = 0 if t_2 <= 4e-6: tmp = t_3 + ((t_1 - math.sqrt(z)) + ((1.0 / (math.sqrt(x) + t_4)) + (0.5 * math.sqrt((1.0 / y))))) else: tmp = t_3 + (((t_4 - math.sqrt(x)) + t_2) + (((z + 1.0) - z) / (math.sqrt(z) + t_1))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (t_2 <= 4e-6) tmp = Float64(t_3 + Float64(Float64(t_1 - sqrt(z)) + Float64(Float64(1.0 / Float64(sqrt(x) + t_4)) + Float64(0.5 * sqrt(Float64(1.0 / y)))))); else tmp = Float64(t_3 + Float64(Float64(Float64(t_4 - sqrt(x)) + t_2) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = sqrt((1.0 + y)) - sqrt(y);
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + x));
tmp = 0.0;
if (t_2 <= 4e-6)
tmp = t_3 + ((t_1 - sqrt(z)) + ((1.0 / (sqrt(x) + t_4)) + (0.5 * sqrt((1.0 / y)))));
else
tmp = t_3 + (((t_4 - sqrt(x)) + t_2) + (((z + 1.0) - z) / (sqrt(z) + t_1)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 4e-6], N[(t$95$3 + N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(N[(t$95$4 - N[Sqrt[x], $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]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{1 + y} - \sqrt{y}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_2 \leq 4 \cdot 10^{-6}:\\
\;\;\;\;t\_3 + \left(\left(t\_1 - \sqrt{z}\right) + \left(\frac{1}{\sqrt{x} + t\_4} + 0.5 \cdot \sqrt{\frac{1}{y}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(\left(t\_4 - \sqrt{x}\right) + t\_2\right) + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 3.99999999999999982e-6Initial program 87.1%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.5%
Taylor expanded in y around inf
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6491.0%
Simplified91.0%
if 3.99999999999999982e-6 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.9%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f6497.9%
Applied egg-rr97.9%
Final simplification94.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (sqrt (+ 1.0 t))))
(if (<= t_2 4e-6)
(+
(- t_4 (sqrt t))
(+ t_1 (+ (/ 1.0 (+ (sqrt x) t_3)) (* 0.5 (sqrt (/ 1.0 y))))))
(+
(+ t_1 (+ (- t_3 (sqrt x)) t_2))
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_4))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((1.0 + y)) - sqrt(y);
double t_3 = sqrt((1.0 + x));
double t_4 = sqrt((1.0 + t));
double tmp;
if (t_2 <= 4e-6) {
tmp = (t_4 - sqrt(t)) + (t_1 + ((1.0 / (sqrt(x) + t_3)) + (0.5 * sqrt((1.0 / y)))));
} else {
tmp = (t_1 + ((t_3 - sqrt(x)) + t_2)) + (((1.0 + t) - t) / (sqrt(t) + t_4));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((1.0d0 + y)) - sqrt(y)
t_3 = sqrt((1.0d0 + x))
t_4 = sqrt((1.0d0 + t))
if (t_2 <= 4d-6) then
tmp = (t_4 - sqrt(t)) + (t_1 + ((1.0d0 / (sqrt(x) + t_3)) + (0.5d0 * sqrt((1.0d0 / y)))))
else
tmp = (t_1 + ((t_3 - sqrt(x)) + t_2)) + (((1.0d0 + t) - t) / (sqrt(t) + t_4))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + y)) - Math.sqrt(y);
double t_3 = Math.sqrt((1.0 + x));
double t_4 = Math.sqrt((1.0 + t));
double tmp;
if (t_2 <= 4e-6) {
tmp = (t_4 - Math.sqrt(t)) + (t_1 + ((1.0 / (Math.sqrt(x) + t_3)) + (0.5 * Math.sqrt((1.0 / y)))));
} else {
tmp = (t_1 + ((t_3 - Math.sqrt(x)) + t_2)) + (((1.0 + t) - t) / (Math.sqrt(t) + t_4));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((1.0 + y)) - math.sqrt(y) t_3 = math.sqrt((1.0 + x)) t_4 = math.sqrt((1.0 + t)) tmp = 0 if t_2 <= 4e-6: tmp = (t_4 - math.sqrt(t)) + (t_1 + ((1.0 / (math.sqrt(x) + t_3)) + (0.5 * math.sqrt((1.0 / y))))) else: tmp = (t_1 + ((t_3 - math.sqrt(x)) + t_2)) + (((1.0 + t) - t) / (math.sqrt(t) + t_4)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_3 = sqrt(Float64(1.0 + x)) t_4 = sqrt(Float64(1.0 + t)) tmp = 0.0 if (t_2 <= 4e-6) tmp = Float64(Float64(t_4 - sqrt(t)) + Float64(t_1 + Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + Float64(0.5 * sqrt(Float64(1.0 / y)))))); else tmp = Float64(Float64(t_1 + Float64(Float64(t_3 - sqrt(x)) + t_2)) + Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_4))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((1.0 + y)) - sqrt(y);
t_3 = sqrt((1.0 + x));
t_4 = sqrt((1.0 + t));
tmp = 0.0;
if (t_2 <= 4e-6)
tmp = (t_4 - sqrt(t)) + (t_1 + ((1.0 / (sqrt(x) + t_3)) + (0.5 * sqrt((1.0 / y)))));
else
tmp = (t_1 + ((t_3 - sqrt(x)) + t_2)) + (((1.0 + t) - t) / (sqrt(t) + t_4));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$2, 4e-6], N[(N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{1 + y} - \sqrt{y}\\
t_3 := \sqrt{1 + x}\\
t_4 := \sqrt{1 + t}\\
\mathbf{if}\;t\_2 \leq 4 \cdot 10^{-6}:\\
\;\;\;\;\left(t\_4 - \sqrt{t}\right) + \left(t\_1 + \left(\frac{1}{\sqrt{x} + t\_3} + 0.5 \cdot \sqrt{\frac{1}{y}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \left(\left(t\_3 - \sqrt{x}\right) + t\_2\right)\right) + \frac{\left(1 + t\right) - t}{\sqrt{t} + t\_4}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 3.99999999999999982e-6Initial program 87.1%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.5%
Taylor expanded in y around inf
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6491.0%
Simplified91.0%
if 3.99999999999999982e-6 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.9%
flip--N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-commutativeN/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6498.1%
Applied egg-rr98.1%
Final simplification94.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z))) (t_2 (sqrt (+ 1.0 x))))
(if (<= t_1 0.99999995)
(+ (- t_2 (sqrt x)) (+ t_1 (- (sqrt (+ 1.0 y)) (sqrt y))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(- (+ 2.0 (+ t_2 (* 0.5 y))) (+ (sqrt x) (+ (sqrt z) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double tmp;
if (t_1 <= 0.99999995) {
tmp = (t_2 - sqrt(x)) + (t_1 + (sqrt((1.0 + y)) - sqrt(y)));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((2.0 + (t_2 + (0.5 * y))) - (sqrt(x) + (sqrt(z) + sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((1.0d0 + x))
if (t_1 <= 0.99999995d0) then
tmp = (t_2 - sqrt(x)) + (t_1 + (sqrt((1.0d0 + y)) - sqrt(y)))
else
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + ((2.0d0 + (t_2 + (0.5d0 * y))) - (sqrt(x) + (sqrt(z) + sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + x));
double tmp;
if (t_1 <= 0.99999995) {
tmp = (t_2 - Math.sqrt(x)) + (t_1 + (Math.sqrt((1.0 + y)) - Math.sqrt(y)));
} else {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((2.0 + (t_2 + (0.5 * y))) - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((1.0 + x)) tmp = 0 if t_1 <= 0.99999995: tmp = (t_2 - math.sqrt(x)) + (t_1 + (math.sqrt((1.0 + y)) - math.sqrt(y))) else: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + ((2.0 + (t_2 + (0.5 * y))) - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (t_1 <= 0.99999995) tmp = Float64(Float64(t_2 - sqrt(x)) + Float64(t_1 + Float64(sqrt(Float64(1.0 + y)) - sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(2.0 + Float64(t_2 + Float64(0.5 * y))) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((1.0 + x));
tmp = 0.0;
if (t_1 <= 0.99999995)
tmp = (t_2 - sqrt(x)) + (t_1 + (sqrt((1.0 + y)) - sqrt(y)));
else
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((2.0 + (t_2 + (0.5 * y))) - (sqrt(x) + (sqrt(z) + sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$1, 0.99999995], N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(2.0 + N[(t$95$2 + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
\mathbf{if}\;t\_1 \leq 0.99999995:\\
\;\;\;\;\left(t\_2 - \sqrt{x}\right) + \left(t\_1 + \left(\sqrt{1 + y} - \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(2 + \left(t\_2 + 0.5 \cdot y\right)\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.999999949999999971Initial program 88.0%
associate-+l+N/A
associate-+l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
Simplified32.5%
Taylor expanded in t around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6438.9%
Simplified38.9%
if 0.999999949999999971 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 96.8%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.6%
Simplified34.6%
Taylor expanded in z around 0
--lowering--.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6432.9%
Simplified32.9%
Final simplification36.1%
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 (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= y 52000000.0)
(+ t_3 (+ t_1 (+ (- t_2 (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y)))))
(+ t_3 (+ t_1 (+ (/ 1.0 (+ (sqrt x) t_2)) (* 0.5 (sqrt (/ 1.0 y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (y <= 52000000.0) {
tmp = t_3 + (t_1 + ((t_2 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y))));
} else {
tmp = t_3 + (t_1 + ((1.0 / (sqrt(x) + t_2)) + (0.5 * sqrt((1.0 / y)))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
if (y <= 52000000.0d0) then
tmp = t_3 + (t_1 + ((t_2 - sqrt(x)) + (sqrt((1.0d0 + y)) - sqrt(y))))
else
tmp = t_3 + (t_1 + ((1.0d0 / (sqrt(x) + t_2)) + (0.5d0 * sqrt((1.0d0 / y)))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (y <= 52000000.0) {
tmp = t_3 + (t_1 + ((t_2 - Math.sqrt(x)) + (Math.sqrt((1.0 + y)) - Math.sqrt(y))));
} else {
tmp = t_3 + (t_1 + ((1.0 / (Math.sqrt(x) + t_2)) + (0.5 * Math.sqrt((1.0 / y)))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if y <= 52000000.0: tmp = t_3 + (t_1 + ((t_2 - math.sqrt(x)) + (math.sqrt((1.0 + y)) - math.sqrt(y)))) else: tmp = t_3 + (t_1 + ((1.0 / (math.sqrt(x) + t_2)) + (0.5 * math.sqrt((1.0 / y))))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (y <= 52000000.0) tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(t_2 - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))))); else tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + Float64(0.5 * sqrt(Float64(1.0 / y)))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (y <= 52000000.0)
tmp = t_3 + (t_1 + ((t_2 - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y))));
else
tmp = t_3 + (t_1 + ((1.0 / (sqrt(x) + t_2)) + (0.5 * sqrt((1.0 / y)))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 52000000.0], N[(t$95$3 + N[(t$95$1 + N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;y \leq 52000000:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(t\_2 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\frac{1}{\sqrt{x} + t\_2} + 0.5 \cdot \sqrt{\frac{1}{y}}\right)\right)\\
\end{array}
\end{array}
if y < 5.2e7Initial program 97.9%
if 5.2e7 < y Initial program 87.1%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.5%
Taylor expanded in y around inf
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6491.0%
Simplified91.0%
Final simplification94.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 x)) (sqrt x))))
(if (<= t_1 0.0001)
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))))))
(+ t_1 (+ (- (sqrt (+ z 1.0)) (sqrt z)) (- (sqrt (+ 1.0 y)) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x)) - sqrt(x);
double tmp;
if (t_1 <= 0.0001) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / z)) + sqrt((1.0 / y)))));
} else {
tmp = t_1 + ((sqrt((z + 1.0)) - sqrt(z)) + (sqrt((1.0 + y)) - sqrt(y)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + x)) - sqrt(x)
if (t_1 <= 0.0001d0) then
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + (0.5d0 * (sqrt((1.0d0 / x)) + (sqrt((1.0d0 / z)) + sqrt((1.0d0 / y)))))
else
tmp = t_1 + ((sqrt((z + 1.0d0)) - sqrt(z)) + (sqrt((1.0d0 + y)) - sqrt(y)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x)) - Math.sqrt(x);
double tmp;
if (t_1 <= 0.0001) {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + (0.5 * (Math.sqrt((1.0 / x)) + (Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / y)))));
} else {
tmp = t_1 + ((Math.sqrt((z + 1.0)) - Math.sqrt(z)) + (Math.sqrt((1.0 + y)) - Math.sqrt(y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) - math.sqrt(x) tmp = 0 if t_1 <= 0.0001: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + (0.5 * (math.sqrt((1.0 / x)) + (math.sqrt((1.0 / z)) + math.sqrt((1.0 / y))))) else: tmp = t_1 + ((math.sqrt((z + 1.0)) - math.sqrt(z)) + (math.sqrt((1.0 + y)) - math.sqrt(y))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) tmp = 0.0 if (t_1 <= 0.0001) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y)))))); else tmp = Float64(t_1 + Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x)) - sqrt(x);
tmp = 0.0;
if (t_1 <= 0.0001)
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / z)) + sqrt((1.0 / y)))));
else
tmp = t_1 + ((sqrt((z + 1.0)) - sqrt(z)) + (sqrt((1.0 + y)) - sqrt(y)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.0001], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x} - \sqrt{x}\\
\mathbf{if}\;t\_1 \leq 0.0001:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\left(\sqrt{z + 1} - \sqrt{z}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 1.00000000000000005e-4Initial program 86.2%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6446.3%
Simplified46.3%
Taylor expanded in y around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6422.5%
Simplified22.5%
Taylor expanded in x around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6429.4%
Simplified29.4%
if 1.00000000000000005e-4 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.9%
associate-+l+N/A
associate-+l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
Simplified70.3%
Taylor expanded in t around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6458.3%
Simplified58.3%
Final simplification44.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= y 1.3)
(+ t_3 (+ t_1 (- (- (+ 1.0 (+ 1.0 (* 0.5 y))) (sqrt x)) (sqrt y))))
(if (<= y 7.2e+29)
(+
t_3
(+
t_2
(-
(+ (* 0.5 (sqrt (/ 1.0 y))) (* -0.125 (sqrt (/ 1.0 (* y (* y y))))))
(sqrt x))))
(+ t_3 (+ t_1 (/ 1.0 (+ (sqrt x) t_2))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (y <= 1.3) {
tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
} else if (y <= 7.2e+29) {
tmp = t_3 + (t_2 + (((0.5 * sqrt((1.0 / y))) + (-0.125 * sqrt((1.0 / (y * (y * y)))))) - sqrt(x)));
} else {
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
}
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((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
if (y <= 1.3d0) then
tmp = t_3 + (t_1 + (((1.0d0 + (1.0d0 + (0.5d0 * y))) - sqrt(x)) - sqrt(y)))
else if (y <= 7.2d+29) then
tmp = t_3 + (t_2 + (((0.5d0 * sqrt((1.0d0 / y))) + ((-0.125d0) * sqrt((1.0d0 / (y * (y * y)))))) - sqrt(x)))
else
tmp = t_3 + (t_1 + (1.0d0 / (sqrt(x) + t_2)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (y <= 1.3) {
tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - Math.sqrt(x)) - Math.sqrt(y)));
} else if (y <= 7.2e+29) {
tmp = t_3 + (t_2 + (((0.5 * Math.sqrt((1.0 / y))) + (-0.125 * Math.sqrt((1.0 / (y * (y * y)))))) - Math.sqrt(x)));
} else {
tmp = t_3 + (t_1 + (1.0 / (Math.sqrt(x) + t_2)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if y <= 1.3: tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - math.sqrt(x)) - math.sqrt(y))) elif y <= 7.2e+29: tmp = t_3 + (t_2 + (((0.5 * math.sqrt((1.0 / y))) + (-0.125 * math.sqrt((1.0 / (y * (y * y)))))) - math.sqrt(x))) else: tmp = t_3 + (t_1 + (1.0 / (math.sqrt(x) + t_2))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (y <= 1.3) tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(Float64(1.0 + Float64(1.0 + Float64(0.5 * y))) - sqrt(x)) - sqrt(y)))); elseif (y <= 7.2e+29) tmp = Float64(t_3 + Float64(t_2 + Float64(Float64(Float64(0.5 * sqrt(Float64(1.0 / y))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(y * Float64(y * y)))))) - sqrt(x)))); else tmp = Float64(t_3 + Float64(t_1 + Float64(1.0 / Float64(sqrt(x) + t_2)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (y <= 1.3)
tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
elseif (y <= 7.2e+29)
tmp = t_3 + (t_2 + (((0.5 * sqrt((1.0 / y))) + (-0.125 * sqrt((1.0 / (y * (y * y)))))) - sqrt(x)));
else
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 1.3], N[(t$95$3 + N[(t$95$1 + N[(N[(N[(1.0 + N[(1.0 + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 7.2e+29], N[(t$95$3 + N[(t$95$2 + N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;y \leq 1.3:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(\left(1 + \left(1 + 0.5 \cdot y\right)\right) - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\mathbf{elif}\;y \leq 7.2 \cdot 10^{+29}:\\
\;\;\;\;t\_3 + \left(t\_2 + \left(\left(0.5 \cdot \sqrt{\frac{1}{y}} + -0.125 \cdot \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}\right) - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \frac{1}{\sqrt{x} + t\_2}\right)\\
\end{array}
\end{array}
if y < 1.30000000000000004Initial program 98.3%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6456.6%
Simplified56.6%
Taylor expanded in x around 0
Simplified44.5%
if 1.30000000000000004 < y < 7.19999999999999952e29Initial program 79.7%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6445.5%
Simplified45.5%
Taylor expanded in y around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified46.5%
if 7.19999999999999952e29 < y Initial program 87.9%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.9%
Taylor expanded in y around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6488.8%
Simplified88.8%
Final simplification66.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= y 2.1)
(+ t_3 (+ t_1 (- (- (+ 1.0 (+ 1.0 (* 0.5 y))) (sqrt x)) (sqrt y))))
(if (<= y 7.2e+29)
(+ t_2 (- (* 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y)))) (sqrt x)))
(+ t_3 (+ t_1 (/ 1.0 (+ (sqrt x) t_2))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (y <= 2.1) {
tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
} else if (y <= 7.2e+29) {
tmp = t_2 + ((0.5 * (sqrt((1.0 / z)) + sqrt((1.0 / y)))) - sqrt(x));
} else {
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
}
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((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
if (y <= 2.1d0) then
tmp = t_3 + (t_1 + (((1.0d0 + (1.0d0 + (0.5d0 * y))) - sqrt(x)) - sqrt(y)))
else if (y <= 7.2d+29) then
tmp = t_2 + ((0.5d0 * (sqrt((1.0d0 / z)) + sqrt((1.0d0 / y)))) - sqrt(x))
else
tmp = t_3 + (t_1 + (1.0d0 / (sqrt(x) + t_2)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (y <= 2.1) {
tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - Math.sqrt(x)) - Math.sqrt(y)));
} else if (y <= 7.2e+29) {
tmp = t_2 + ((0.5 * (Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / y)))) - Math.sqrt(x));
} else {
tmp = t_3 + (t_1 + (1.0 / (Math.sqrt(x) + t_2)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if y <= 2.1: tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - math.sqrt(x)) - math.sqrt(y))) elif y <= 7.2e+29: tmp = t_2 + ((0.5 * (math.sqrt((1.0 / z)) + math.sqrt((1.0 / y)))) - math.sqrt(x)) else: tmp = t_3 + (t_1 + (1.0 / (math.sqrt(x) + t_2))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (y <= 2.1) tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(Float64(1.0 + Float64(1.0 + Float64(0.5 * y))) - sqrt(x)) - sqrt(y)))); elseif (y <= 7.2e+29) tmp = Float64(t_2 + Float64(Float64(0.5 * Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y)))) - sqrt(x))); else tmp = Float64(t_3 + Float64(t_1 + Float64(1.0 / Float64(sqrt(x) + t_2)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (y <= 2.1)
tmp = t_3 + (t_1 + (((1.0 + (1.0 + (0.5 * y))) - sqrt(x)) - sqrt(y)));
elseif (y <= 7.2e+29)
tmp = t_2 + ((0.5 * (sqrt((1.0 / z)) + sqrt((1.0 / y)))) - sqrt(x));
else
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 2.1], N[(t$95$3 + N[(t$95$1 + N[(N[(N[(1.0 + N[(1.0 + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 7.2e+29], N[(t$95$2 + N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;y \leq 2.1:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(\left(1 + \left(1 + 0.5 \cdot y\right)\right) - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\mathbf{elif}\;y \leq 7.2 \cdot 10^{+29}:\\
\;\;\;\;t\_2 + \left(0.5 \cdot \left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \frac{1}{\sqrt{x} + t\_2}\right)\\
\end{array}
\end{array}
if y < 2.10000000000000009Initial program 98.3%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6456.6%
Simplified56.6%
Taylor expanded in x around 0
Simplified44.5%
if 2.10000000000000009 < y < 7.19999999999999952e29Initial program 79.7%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6443.1%
Simplified43.1%
Taylor expanded in y around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6444.0%
Simplified44.0%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6414.3%
Simplified14.3%
if 7.19999999999999952e29 < y Initial program 87.9%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.9%
Taylor expanded in y around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6488.8%
Simplified88.8%
Final simplification64.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x))) (t_2 (sqrt (/ 1.0 z))))
(if (<= y 1.6e-11)
(+
2.0
(- (+ (sqrt (+ z 1.0)) (* 0.5 y)) (+ (sqrt x) (+ (sqrt z) (sqrt y)))))
(if (<= y 52000000.0)
(- (+ (* 0.5 t_2) (+ (sqrt (+ 1.0 y)) t_1)) (+ (sqrt x) (sqrt y)))
(+ t_1 (- (* 0.5 (+ t_2 (sqrt (/ 1.0 y)))) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 / z));
double tmp;
if (y <= 1.6e-11) {
tmp = 2.0 + ((sqrt((z + 1.0)) + (0.5 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))));
} else if (y <= 52000000.0) {
tmp = ((0.5 * t_2) + (sqrt((1.0 + y)) + t_1)) - (sqrt(x) + sqrt(y));
} else {
tmp = t_1 + ((0.5 * (t_2 + sqrt((1.0 / y)))) - sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = sqrt((1.0d0 / z))
if (y <= 1.6d-11) then
tmp = 2.0d0 + ((sqrt((z + 1.0d0)) + (0.5d0 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))))
else if (y <= 52000000.0d0) then
tmp = ((0.5d0 * t_2) + (sqrt((1.0d0 + y)) + t_1)) - (sqrt(x) + sqrt(y))
else
tmp = t_1 + ((0.5d0 * (t_2 + sqrt((1.0d0 / y)))) - sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double t_2 = Math.sqrt((1.0 / z));
double tmp;
if (y <= 1.6e-11) {
tmp = 2.0 + ((Math.sqrt((z + 1.0)) + (0.5 * y)) - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y))));
} else if (y <= 52000000.0) {
tmp = ((0.5 * t_2) + (Math.sqrt((1.0 + y)) + t_1)) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = t_1 + ((0.5 * (t_2 + Math.sqrt((1.0 / y)))) - Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) t_2 = math.sqrt((1.0 / z)) tmp = 0 if y <= 1.6e-11: tmp = 2.0 + ((math.sqrt((z + 1.0)) + (0.5 * y)) - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) elif y <= 52000000.0: tmp = ((0.5 * t_2) + (math.sqrt((1.0 + y)) + t_1)) - (math.sqrt(x) + math.sqrt(y)) else: tmp = t_1 + ((0.5 * (t_2 + math.sqrt((1.0 / y)))) - math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 / z)) tmp = 0.0 if (y <= 1.6e-11) tmp = Float64(2.0 + Float64(Float64(sqrt(Float64(z + 1.0)) + Float64(0.5 * y)) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); elseif (y <= 52000000.0) tmp = Float64(Float64(Float64(0.5 * t_2) + Float64(sqrt(Float64(1.0 + y)) + t_1)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(t_1 + Float64(Float64(0.5 * Float64(t_2 + sqrt(Float64(1.0 / y)))) - sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
t_2 = sqrt((1.0 / z));
tmp = 0.0;
if (y <= 1.6e-11)
tmp = 2.0 + ((sqrt((z + 1.0)) + (0.5 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))));
elseif (y <= 52000000.0)
tmp = ((0.5 * t_2) + (sqrt((1.0 + y)) + t_1)) - (sqrt(x) + sqrt(y));
else
tmp = t_1 + ((0.5 * (t_2 + sqrt((1.0 / y)))) - sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 1.6e-11], N[(2.0 + N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[(0.5 * y), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 52000000.0], N[(N[(N[(0.5 * t$95$2), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(N[(0.5 * N[(t$95$2 + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{\frac{1}{z}}\\
\mathbf{if}\;y \leq 1.6 \cdot 10^{-11}:\\
\;\;\;\;2 + \left(\left(\sqrt{z + 1} + 0.5 \cdot y\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\mathbf{elif}\;y \leq 52000000:\\
\;\;\;\;\left(0.5 \cdot t\_2 + \left(\sqrt{1 + y} + t\_1\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(0.5 \cdot \left(t\_2 + \sqrt{\frac{1}{y}}\right) - \sqrt{x}\right)\\
\end{array}
\end{array}
if y < 1.59999999999999997e-11Initial program 98.3%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6456.4%
Simplified56.4%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.7%
Simplified23.7%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.5%
Simplified33.5%
if 1.59999999999999997e-11 < y < 5.2e7Initial program 92.5%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6428.3%
Simplified28.3%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6415.7%
Simplified15.7%
if 5.2e7 < y Initial program 87.1%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.8%
Simplified23.8%
Taylor expanded in y around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6446.1%
Simplified46.1%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6419.1%
Simplified19.1%
Final simplification25.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= y 1.75e-11)
(+
2.0
(- (+ (sqrt (+ z 1.0)) (* 0.5 y)) (+ (sqrt x) (+ (sqrt z) (sqrt y)))))
(if (<= y 45000000.0)
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (sqrt (+ 1.0 y)) (- (- 1.0 (sqrt x)) (sqrt y))))
(+
(sqrt (+ 1.0 x))
(- (* 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y)))) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 1.75e-11) {
tmp = 2.0 + ((sqrt((z + 1.0)) + (0.5 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))));
} else if (y <= 45000000.0) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (sqrt((1.0 + y)) + ((1.0 - sqrt(x)) - sqrt(y)));
} else {
tmp = sqrt((1.0 + x)) + ((0.5 * (sqrt((1.0 / z)) + sqrt((1.0 / y)))) - sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (y <= 1.75d-11) then
tmp = 2.0d0 + ((sqrt((z + 1.0d0)) + (0.5d0 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))))
else if (y <= 45000000.0d0) then
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + (sqrt((1.0d0 + y)) + ((1.0d0 - sqrt(x)) - sqrt(y)))
else
tmp = sqrt((1.0d0 + x)) + ((0.5d0 * (sqrt((1.0d0 / z)) + sqrt((1.0d0 / y)))) - sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (y <= 1.75e-11) {
tmp = 2.0 + ((Math.sqrt((z + 1.0)) + (0.5 * y)) - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y))));
} else if (y <= 45000000.0) {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + (Math.sqrt((1.0 + y)) + ((1.0 - Math.sqrt(x)) - Math.sqrt(y)));
} else {
tmp = Math.sqrt((1.0 + x)) + ((0.5 * (Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / y)))) - Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if y <= 1.75e-11: tmp = 2.0 + ((math.sqrt((z + 1.0)) + (0.5 * y)) - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) elif y <= 45000000.0: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + (math.sqrt((1.0 + y)) + ((1.0 - math.sqrt(x)) - math.sqrt(y))) else: tmp = math.sqrt((1.0 + x)) + ((0.5 * (math.sqrt((1.0 / z)) + math.sqrt((1.0 / y)))) - math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 1.75e-11) tmp = Float64(2.0 + Float64(Float64(sqrt(Float64(z + 1.0)) + Float64(0.5 * y)) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); elseif (y <= 45000000.0) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(sqrt(Float64(1.0 + y)) + Float64(Float64(1.0 - sqrt(x)) - sqrt(y)))); else tmp = Float64(sqrt(Float64(1.0 + x)) + Float64(Float64(0.5 * Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y)))) - sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (y <= 1.75e-11)
tmp = 2.0 + ((sqrt((z + 1.0)) + (0.5 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))));
elseif (y <= 45000000.0)
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (sqrt((1.0 + y)) + ((1.0 - sqrt(x)) - sqrt(y)));
else
tmp = sqrt((1.0 + x)) + ((0.5 * (sqrt((1.0 / z)) + sqrt((1.0 / y)))) - sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[y, 1.75e-11], N[(2.0 + N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[(0.5 * y), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 45000000.0], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 1.75 \cdot 10^{-11}:\\
\;\;\;\;2 + \left(\left(\sqrt{z + 1} + 0.5 \cdot y\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\mathbf{elif}\;y \leq 45000000:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\sqrt{1 + y} + \left(\left(1 - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{1 + x} + \left(0.5 \cdot \left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}\right) - \sqrt{x}\right)\\
\end{array}
\end{array}
if y < 1.7500000000000001e-11Initial program 98.3%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6456.4%
Simplified56.4%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.7%
Simplified23.7%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.5%
Simplified33.5%
if 1.7500000000000001e-11 < y < 4.5e7Initial program 92.5%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.5%
Simplified34.5%
Taylor expanded in x around 0
--lowering--.f64N/A
sqrt-lowering-sqrt.f6418.5%
Simplified18.5%
if 4.5e7 < y Initial program 87.1%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.8%
Simplified23.8%
Taylor expanded in y around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6446.1%
Simplified46.1%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6419.1%
Simplified19.1%
Final simplification25.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x))))
(if (<= y 1.75e-11)
(+
2.0
(- (+ (sqrt (+ z 1.0)) (* 0.5 y)) (+ (sqrt x) (+ (sqrt z) (sqrt y)))))
(if (<= y 125000000.0)
(- (+ (sqrt (+ 1.0 y)) t_1) (+ (sqrt x) (sqrt y)))
(+ t_1 (- (* 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y)))) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double tmp;
if (y <= 1.75e-11) {
tmp = 2.0 + ((sqrt((z + 1.0)) + (0.5 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))));
} else if (y <= 125000000.0) {
tmp = (sqrt((1.0 + y)) + t_1) - (sqrt(x) + sqrt(y));
} else {
tmp = t_1 + ((0.5 * (sqrt((1.0 / z)) + sqrt((1.0 / y)))) - sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
if (y <= 1.75d-11) then
tmp = 2.0d0 + ((sqrt((z + 1.0d0)) + (0.5d0 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))))
else if (y <= 125000000.0d0) then
tmp = (sqrt((1.0d0 + y)) + t_1) - (sqrt(x) + sqrt(y))
else
tmp = t_1 + ((0.5d0 * (sqrt((1.0d0 / z)) + sqrt((1.0d0 / y)))) - sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double tmp;
if (y <= 1.75e-11) {
tmp = 2.0 + ((Math.sqrt((z + 1.0)) + (0.5 * y)) - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y))));
} else if (y <= 125000000.0) {
tmp = (Math.sqrt((1.0 + y)) + t_1) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = t_1 + ((0.5 * (Math.sqrt((1.0 / z)) + Math.sqrt((1.0 / y)))) - Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) tmp = 0 if y <= 1.75e-11: tmp = 2.0 + ((math.sqrt((z + 1.0)) + (0.5 * y)) - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) elif y <= 125000000.0: tmp = (math.sqrt((1.0 + y)) + t_1) - (math.sqrt(x) + math.sqrt(y)) else: tmp = t_1 + ((0.5 * (math.sqrt((1.0 / z)) + math.sqrt((1.0 / y)))) - math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (y <= 1.75e-11) tmp = Float64(2.0 + Float64(Float64(sqrt(Float64(z + 1.0)) + Float64(0.5 * y)) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); elseif (y <= 125000000.0) tmp = Float64(Float64(sqrt(Float64(1.0 + y)) + t_1) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(t_1 + Float64(Float64(0.5 * Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y)))) - sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
tmp = 0.0;
if (y <= 1.75e-11)
tmp = 2.0 + ((sqrt((z + 1.0)) + (0.5 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))));
elseif (y <= 125000000.0)
tmp = (sqrt((1.0 + y)) + t_1) - (sqrt(x) + sqrt(y));
else
tmp = t_1 + ((0.5 * (sqrt((1.0 / z)) + sqrt((1.0 / y)))) - sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 1.75e-11], N[(2.0 + N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[(0.5 * y), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 125000000.0], N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
\mathbf{if}\;y \leq 1.75 \cdot 10^{-11}:\\
\;\;\;\;2 + \left(\left(\sqrt{z + 1} + 0.5 \cdot y\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\mathbf{elif}\;y \leq 125000000:\\
\;\;\;\;\left(\sqrt{1 + y} + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(0.5 \cdot \left(\sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}\right) - \sqrt{x}\right)\\
\end{array}
\end{array}
if y < 1.7500000000000001e-11Initial program 98.3%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6456.4%
Simplified56.4%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.7%
Simplified23.7%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.5%
Simplified33.5%
if 1.7500000000000001e-11 < y < 1.25e8Initial program 92.5%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.5%
Simplified34.5%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6420.5%
Simplified20.5%
if 1.25e8 < y Initial program 87.1%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.8%
Simplified23.8%
Taylor expanded in y around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6446.1%
Simplified46.1%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6419.1%
Simplified19.1%
Final simplification25.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x))))
(if (<= y 1.6e-11)
(+
2.0
(- (+ (sqrt (+ z 1.0)) (* 0.5 y)) (+ (sqrt x) (+ (sqrt z) (sqrt y)))))
(if (<= y 1.26e+26)
(- (+ (sqrt (+ 1.0 y)) t_1) (+ (sqrt x) (sqrt y)))
(+ (- (sqrt (+ 1.0 t)) (sqrt t)) (- t_1 (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double tmp;
if (y <= 1.6e-11) {
tmp = 2.0 + ((sqrt((z + 1.0)) + (0.5 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))));
} else if (y <= 1.26e+26) {
tmp = (sqrt((1.0 + y)) + t_1) - (sqrt(x) + sqrt(y));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_1 - sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
if (y <= 1.6d-11) then
tmp = 2.0d0 + ((sqrt((z + 1.0d0)) + (0.5d0 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))))
else if (y <= 1.26d+26) then
tmp = (sqrt((1.0d0 + y)) + t_1) - (sqrt(x) + sqrt(y))
else
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + (t_1 - sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double tmp;
if (y <= 1.6e-11) {
tmp = 2.0 + ((Math.sqrt((z + 1.0)) + (0.5 * y)) - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y))));
} else if (y <= 1.26e+26) {
tmp = (Math.sqrt((1.0 + y)) + t_1) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + (t_1 - Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) tmp = 0 if y <= 1.6e-11: tmp = 2.0 + ((math.sqrt((z + 1.0)) + (0.5 * y)) - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) elif y <= 1.26e+26: tmp = (math.sqrt((1.0 + y)) + t_1) - (math.sqrt(x) + math.sqrt(y)) else: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + (t_1 - math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (y <= 1.6e-11) tmp = Float64(2.0 + Float64(Float64(sqrt(Float64(z + 1.0)) + Float64(0.5 * y)) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); elseif (y <= 1.26e+26) tmp = Float64(Float64(sqrt(Float64(1.0 + y)) + t_1) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_1 - sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
tmp = 0.0;
if (y <= 1.6e-11)
tmp = 2.0 + ((sqrt((z + 1.0)) + (0.5 * y)) - (sqrt(x) + (sqrt(z) + sqrt(y))));
elseif (y <= 1.26e+26)
tmp = (sqrt((1.0 + y)) + t_1) - (sqrt(x) + sqrt(y));
else
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_1 - sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 1.6e-11], N[(2.0 + N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[(0.5 * y), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 1.26e+26], N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
\mathbf{if}\;y \leq 1.6 \cdot 10^{-11}:\\
\;\;\;\;2 + \left(\left(\sqrt{z + 1} + 0.5 \cdot y\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\mathbf{elif}\;y \leq 1.26 \cdot 10^{+26}:\\
\;\;\;\;\left(\sqrt{1 + y} + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_1 - \sqrt{x}\right)\\
\end{array}
\end{array}
if y < 1.59999999999999997e-11Initial program 98.3%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6456.4%
Simplified56.4%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.7%
Simplified23.7%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.5%
Simplified33.5%
if 1.59999999999999997e-11 < y < 1.25999999999999995e26Initial program 83.5%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6441.6%
Simplified41.6%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6416.0%
Simplified16.0%
if 1.25999999999999995e26 < y Initial program 87.9%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.5%
Simplified23.5%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6448.5%
Simplified48.5%
Final simplification39.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x))))
(if (<= y 2.8e-137)
(- (+ 2.0 (+ (sqrt (+ z 1.0)) (* 0.5 y))) (+ (sqrt z) (sqrt x)))
(if (<= y 5e+25)
(- (+ (sqrt (+ 1.0 y)) t_1) (+ (sqrt x) (sqrt y)))
(+ (- (sqrt (+ 1.0 t)) (sqrt t)) (- t_1 (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double tmp;
if (y <= 2.8e-137) {
tmp = (2.0 + (sqrt((z + 1.0)) + (0.5 * y))) - (sqrt(z) + sqrt(x));
} else if (y <= 5e+25) {
tmp = (sqrt((1.0 + y)) + t_1) - (sqrt(x) + sqrt(y));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_1 - sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
if (y <= 2.8d-137) then
tmp = (2.0d0 + (sqrt((z + 1.0d0)) + (0.5d0 * y))) - (sqrt(z) + sqrt(x))
else if (y <= 5d+25) then
tmp = (sqrt((1.0d0 + y)) + t_1) - (sqrt(x) + sqrt(y))
else
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + (t_1 - sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double tmp;
if (y <= 2.8e-137) {
tmp = (2.0 + (Math.sqrt((z + 1.0)) + (0.5 * y))) - (Math.sqrt(z) + Math.sqrt(x));
} else if (y <= 5e+25) {
tmp = (Math.sqrt((1.0 + y)) + t_1) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + (t_1 - Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) tmp = 0 if y <= 2.8e-137: tmp = (2.0 + (math.sqrt((z + 1.0)) + (0.5 * y))) - (math.sqrt(z) + math.sqrt(x)) elif y <= 5e+25: tmp = (math.sqrt((1.0 + y)) + t_1) - (math.sqrt(x) + math.sqrt(y)) else: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + (t_1 - math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (y <= 2.8e-137) tmp = Float64(Float64(2.0 + Float64(sqrt(Float64(z + 1.0)) + Float64(0.5 * y))) - Float64(sqrt(z) + sqrt(x))); elseif (y <= 5e+25) tmp = Float64(Float64(sqrt(Float64(1.0 + y)) + t_1) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(t_1 - sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
tmp = 0.0;
if (y <= 2.8e-137)
tmp = (2.0 + (sqrt((z + 1.0)) + (0.5 * y))) - (sqrt(z) + sqrt(x));
elseif (y <= 5e+25)
tmp = (sqrt((1.0 + y)) + t_1) - (sqrt(x) + sqrt(y));
else
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (t_1 - sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 2.8e-137], N[(N[(2.0 + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 5e+25], N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
\mathbf{if}\;y \leq 2.8 \cdot 10^{-137}:\\
\;\;\;\;\left(2 + \left(\sqrt{z + 1} + 0.5 \cdot y\right)\right) - \left(\sqrt{z} + \sqrt{x}\right)\\
\mathbf{elif}\;y \leq 5 \cdot 10^{+25}:\\
\;\;\;\;\left(\sqrt{1 + y} + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(t\_1 - \sqrt{x}\right)\\
\end{array}
\end{array}
if y < 2.7999999999999999e-137Initial program 98.1%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6452.5%
Simplified52.5%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6422.9%
Simplified22.9%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6417.3%
Simplified17.3%
Taylor expanded in z around inf
sqrt-lowering-sqrt.f6417.3%
Simplified17.3%
if 2.7999999999999999e-137 < y < 5.00000000000000024e25Initial program 95.0%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6452.3%
Simplified52.3%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6417.2%
Simplified17.2%
if 5.00000000000000024e25 < y Initial program 87.9%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.5%
Simplified23.5%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6448.5%
Simplified48.5%
Final simplification32.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(if (<= y 3.1e-137)
(- (+ 2.0 (+ (sqrt (+ z 1.0)) (* 0.5 y))) (+ (sqrt z) (sqrt x)))
(if (<= y 2.7)
(- (+ (* 0.5 y) 2.0) (+ (sqrt x) (sqrt y)))
(+ (- (sqrt (+ 1.0 t)) (sqrt t)) (- (sqrt (+ 1.0 x)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 3.1e-137) {
tmp = (2.0 + (sqrt((z + 1.0)) + (0.5 * y))) - (sqrt(z) + sqrt(x));
} else if (y <= 2.7) {
tmp = ((0.5 * y) + 2.0) - (sqrt(x) + sqrt(y));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (sqrt((1.0 + x)) - sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (y <= 3.1d-137) then
tmp = (2.0d0 + (sqrt((z + 1.0d0)) + (0.5d0 * y))) - (sqrt(z) + sqrt(x))
else if (y <= 2.7d0) then
tmp = ((0.5d0 * y) + 2.0d0) - (sqrt(x) + sqrt(y))
else
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + (sqrt((1.0d0 + x)) - sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (y <= 3.1e-137) {
tmp = (2.0 + (Math.sqrt((z + 1.0)) + (0.5 * y))) - (Math.sqrt(z) + Math.sqrt(x));
} else if (y <= 2.7) {
tmp = ((0.5 * y) + 2.0) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + (Math.sqrt((1.0 + x)) - Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if y <= 3.1e-137: tmp = (2.0 + (math.sqrt((z + 1.0)) + (0.5 * y))) - (math.sqrt(z) + math.sqrt(x)) elif y <= 2.7: tmp = ((0.5 * y) + 2.0) - (math.sqrt(x) + math.sqrt(y)) else: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + (math.sqrt((1.0 + x)) - math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 3.1e-137) tmp = Float64(Float64(2.0 + Float64(sqrt(Float64(z + 1.0)) + Float64(0.5 * y))) - Float64(sqrt(z) + sqrt(x))); elseif (y <= 2.7) tmp = Float64(Float64(Float64(0.5 * y) + 2.0) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (y <= 3.1e-137)
tmp = (2.0 + (sqrt((z + 1.0)) + (0.5 * y))) - (sqrt(z) + sqrt(x));
elseif (y <= 2.7)
tmp = ((0.5 * y) + 2.0) - (sqrt(x) + sqrt(y));
else
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (sqrt((1.0 + x)) - sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[y, 3.1e-137], N[(N[(2.0 + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 2.7], N[(N[(N[(0.5 * y), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 3.1 \cdot 10^{-137}:\\
\;\;\;\;\left(2 + \left(\sqrt{z + 1} + 0.5 \cdot y\right)\right) - \left(\sqrt{z} + \sqrt{x}\right)\\
\mathbf{elif}\;y \leq 2.7:\\
\;\;\;\;\left(0.5 \cdot y + 2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\\
\end{array}
\end{array}
if y < 3.09999999999999978e-137Initial program 98.1%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6452.5%
Simplified52.5%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6422.9%
Simplified22.9%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6417.3%
Simplified17.3%
Taylor expanded in z around inf
sqrt-lowering-sqrt.f6417.3%
Simplified17.3%
if 3.09999999999999978e-137 < y < 2.7000000000000002Initial program 98.4%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6460.5%
Simplified60.5%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6423.6%
Simplified23.6%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6422.4%
Simplified22.4%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6416.1%
Simplified16.1%
if 2.7000000000000002 < y Initial program 87.1%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6425.3%
Simplified25.3%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6447.6%
Simplified47.6%
Final simplification33.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= z 12000.0) (- (+ 2.0 (+ (sqrt (+ z 1.0)) (* 0.5 y))) (+ (sqrt z) (sqrt x))) (+ 2.0 (- (* 0.5 (+ (sqrt (/ 1.0 z)) y)) (+ (sqrt x) (sqrt y))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 12000.0) {
tmp = (2.0 + (sqrt((z + 1.0)) + (0.5 * y))) - (sqrt(z) + sqrt(x));
} else {
tmp = 2.0 + ((0.5 * (sqrt((1.0 / z)) + y)) - (sqrt(x) + sqrt(y)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (z <= 12000.0d0) then
tmp = (2.0d0 + (sqrt((z + 1.0d0)) + (0.5d0 * y))) - (sqrt(z) + sqrt(x))
else
tmp = 2.0d0 + ((0.5d0 * (sqrt((1.0d0 / z)) + y)) - (sqrt(x) + sqrt(y)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (z <= 12000.0) {
tmp = (2.0 + (Math.sqrt((z + 1.0)) + (0.5 * y))) - (Math.sqrt(z) + Math.sqrt(x));
} else {
tmp = 2.0 + ((0.5 * (Math.sqrt((1.0 / z)) + y)) - (Math.sqrt(x) + Math.sqrt(y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if z <= 12000.0: tmp = (2.0 + (math.sqrt((z + 1.0)) + (0.5 * y))) - (math.sqrt(z) + math.sqrt(x)) else: tmp = 2.0 + ((0.5 * (math.sqrt((1.0 / z)) + y)) - (math.sqrt(x) + math.sqrt(y))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 12000.0) tmp = Float64(Float64(2.0 + Float64(sqrt(Float64(z + 1.0)) + Float64(0.5 * y))) - Float64(sqrt(z) + sqrt(x))); else tmp = Float64(2.0 + Float64(Float64(0.5 * Float64(sqrt(Float64(1.0 / z)) + y)) - Float64(sqrt(x) + sqrt(y)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (z <= 12000.0)
tmp = (2.0 + (sqrt((z + 1.0)) + (0.5 * y))) - (sqrt(z) + sqrt(x));
else
tmp = 2.0 + ((0.5 * (sqrt((1.0 / z)) + y)) - (sqrt(x) + sqrt(y)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[z, 12000.0], N[(N[(2.0 + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[(0.5 * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + y), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 12000:\\
\;\;\;\;\left(2 + \left(\sqrt{z + 1} + 0.5 \cdot y\right)\right) - \left(\sqrt{z} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(0.5 \cdot \left(\sqrt{\frac{1}{z}} + y\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if z < 12000Initial program 96.8%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.3%
Simplified34.3%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6421.9%
Simplified21.9%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6419.1%
Simplified19.1%
Taylor expanded in z around inf
sqrt-lowering-sqrt.f6419.0%
Simplified19.0%
if 12000 < z Initial program 87.4%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6422.2%
Simplified22.2%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f644.0%
Simplified4.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f643.4%
Simplified3.4%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6411.2%
Simplified11.2%
Final simplification15.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= z 0.45) (- (- (+ (* 0.5 y) 3.0) (sqrt x)) (+ (sqrt z) (sqrt y))) (+ 2.0 (- (* 0.5 (+ (sqrt (/ 1.0 z)) y)) (+ (sqrt x) (sqrt y))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 0.45) {
tmp = (((0.5 * y) + 3.0) - sqrt(x)) - (sqrt(z) + sqrt(y));
} else {
tmp = 2.0 + ((0.5 * (sqrt((1.0 / z)) + y)) - (sqrt(x) + sqrt(y)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (z <= 0.45d0) then
tmp = (((0.5d0 * y) + 3.0d0) - sqrt(x)) - (sqrt(z) + sqrt(y))
else
tmp = 2.0d0 + ((0.5d0 * (sqrt((1.0d0 / z)) + y)) - (sqrt(x) + sqrt(y)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (z <= 0.45) {
tmp = (((0.5 * y) + 3.0) - Math.sqrt(x)) - (Math.sqrt(z) + Math.sqrt(y));
} else {
tmp = 2.0 + ((0.5 * (Math.sqrt((1.0 / z)) + y)) - (Math.sqrt(x) + Math.sqrt(y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if z <= 0.45: tmp = (((0.5 * y) + 3.0) - math.sqrt(x)) - (math.sqrt(z) + math.sqrt(y)) else: tmp = 2.0 + ((0.5 * (math.sqrt((1.0 / z)) + y)) - (math.sqrt(x) + math.sqrt(y))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 0.45) tmp = Float64(Float64(Float64(Float64(0.5 * y) + 3.0) - sqrt(x)) - Float64(sqrt(z) + sqrt(y))); else tmp = Float64(2.0 + Float64(Float64(0.5 * Float64(sqrt(Float64(1.0 / z)) + y)) - Float64(sqrt(x) + sqrt(y)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (z <= 0.45)
tmp = (((0.5 * y) + 3.0) - sqrt(x)) - (sqrt(z) + sqrt(y));
else
tmp = 2.0 + ((0.5 * (sqrt((1.0 / z)) + y)) - (sqrt(x) + sqrt(y)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[z, 0.45], N[(N[(N[(N[(0.5 * y), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + y), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 0.45:\\
\;\;\;\;\left(\left(0.5 \cdot y + 3\right) - \sqrt{x}\right) - \left(\sqrt{z} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(0.5 \cdot \left(\sqrt{\frac{1}{z}} + y\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if z < 0.450000000000000011Initial program 96.9%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.8%
Simplified34.8%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6422.2%
Simplified22.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6419.3%
Simplified19.3%
Taylor expanded in z around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6419.3%
Simplified19.3%
if 0.450000000000000011 < z Initial program 87.5%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6421.9%
Simplified21.9%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f644.0%
Simplified4.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f643.4%
Simplified3.4%
Taylor expanded in z around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6411.0%
Simplified11.0%
Final simplification15.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= z 1.0) (- (- (+ (* 0.5 y) 3.0) (sqrt x)) (+ (sqrt z) (sqrt y))) (- (+ (* 0.5 y) 2.0) (+ (sqrt x) (sqrt y)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 1.0) {
tmp = (((0.5 * y) + 3.0) - sqrt(x)) - (sqrt(z) + sqrt(y));
} else {
tmp = ((0.5 * y) + 2.0) - (sqrt(x) + sqrt(y));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (z <= 1.0d0) then
tmp = (((0.5d0 * y) + 3.0d0) - sqrt(x)) - (sqrt(z) + sqrt(y))
else
tmp = ((0.5d0 * y) + 2.0d0) - (sqrt(x) + sqrt(y))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (z <= 1.0) {
tmp = (((0.5 * y) + 3.0) - Math.sqrt(x)) - (Math.sqrt(z) + Math.sqrt(y));
} else {
tmp = ((0.5 * y) + 2.0) - (Math.sqrt(x) + Math.sqrt(y));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if z <= 1.0: tmp = (((0.5 * y) + 3.0) - math.sqrt(x)) - (math.sqrt(z) + math.sqrt(y)) else: tmp = ((0.5 * y) + 2.0) - (math.sqrt(x) + math.sqrt(y)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 1.0) tmp = Float64(Float64(Float64(Float64(0.5 * y) + 3.0) - sqrt(x)) - Float64(sqrt(z) + sqrt(y))); else tmp = Float64(Float64(Float64(0.5 * y) + 2.0) - Float64(sqrt(x) + sqrt(y))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (z <= 1.0)
tmp = (((0.5 * y) + 3.0) - sqrt(x)) - (sqrt(z) + sqrt(y));
else
tmp = ((0.5 * y) + 2.0) - (sqrt(x) + sqrt(y));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[z, 1.0], N[(N[(N[(N[(0.5 * y), $MachinePrecision] + 3.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * y), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 1:\\
\;\;\;\;\left(\left(0.5 \cdot y + 3\right) - \sqrt{x}\right) - \left(\sqrt{z} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(0.5 \cdot y + 2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\end{array}
\end{array}
if z < 1Initial program 96.9%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.8%
Simplified34.8%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6422.2%
Simplified22.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6419.3%
Simplified19.3%
Taylor expanded in z around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6419.3%
Simplified19.3%
if 1 < z Initial program 87.5%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6421.9%
Simplified21.9%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f644.0%
Simplified4.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f643.4%
Simplified3.4%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6411.0%
Simplified11.0%
Final simplification15.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 0.44) (- (+ (* 0.5 y) 2.0) (+ (sqrt x) (sqrt y))) (/ (+ (* (sqrt x) -0.125) (* 0.5 (sqrt (* x (* x x))))) (* x x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 0.44) {
tmp = ((0.5 * y) + 2.0) - (sqrt(x) + sqrt(y));
} else {
tmp = ((sqrt(x) * -0.125) + (0.5 * sqrt((x * (x * x))))) / (x * x);
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (x <= 0.44d0) then
tmp = ((0.5d0 * y) + 2.0d0) - (sqrt(x) + sqrt(y))
else
tmp = ((sqrt(x) * (-0.125d0)) + (0.5d0 * sqrt((x * (x * x))))) / (x * x)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (x <= 0.44) {
tmp = ((0.5 * y) + 2.0) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = ((Math.sqrt(x) * -0.125) + (0.5 * Math.sqrt((x * (x * x))))) / (x * x);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if x <= 0.44: tmp = ((0.5 * y) + 2.0) - (math.sqrt(x) + math.sqrt(y)) else: tmp = ((math.sqrt(x) * -0.125) + (0.5 * math.sqrt((x * (x * x))))) / (x * x) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 0.44) tmp = Float64(Float64(Float64(0.5 * y) + 2.0) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(sqrt(x) * -0.125) + Float64(0.5 * sqrt(Float64(x * Float64(x * x))))) / Float64(x * x)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (x <= 0.44)
tmp = ((0.5 * y) + 2.0) - (sqrt(x) + sqrt(y));
else
tmp = ((sqrt(x) * -0.125) + (0.5 * sqrt((x * (x * x))))) / (x * x);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 0.44], N[(N[(N[(0.5 * y), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Sqrt[x], $MachinePrecision] * -0.125), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 0.44:\\
\;\;\;\;\left(0.5 \cdot y + 2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{x} \cdot -0.125 + 0.5 \cdot \sqrt{x \cdot \left(x \cdot x\right)}}{x \cdot x}\\
\end{array}
\end{array}
if x < 0.440000000000000002Initial program 97.9%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6444.4%
Simplified44.4%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6420.8%
Simplified20.8%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6420.8%
Simplified20.8%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6416.7%
Simplified16.7%
if 0.440000000000000002 < x Initial program 86.8%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6486.3%
Simplified86.3%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f644.4%
Simplified4.4%
Final simplification10.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (* 0.5 y) 2.0) (+ (sqrt x) (sqrt y))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return ((0.5 * y) + 2.0) - (sqrt(x) + sqrt(y));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = ((0.5d0 * y) + 2.0d0) - (sqrt(x) + sqrt(y))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return ((0.5 * y) + 2.0) - (Math.sqrt(x) + Math.sqrt(y));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return ((0.5 * y) + 2.0) - (math.sqrt(x) + math.sqrt(y))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(Float64(0.5 * y) + 2.0) - Float64(sqrt(x) + sqrt(y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = ((0.5 * y) + 2.0) - (sqrt(x) + sqrt(y));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[(0.5 * y), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(0.5 \cdot y + 2\right) - \left(\sqrt{x} + \sqrt{y}\right)
\end{array}
Initial program 92.2%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6428.4%
Simplified28.4%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6413.1%
Simplified13.1%
Taylor expanded in x around 0
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6411.4%
Simplified11.4%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f649.3%
Simplified9.3%
Final simplification9.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (* 0.5 (sqrt (/ 1.0 y))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 * sqrt((1.0 / 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 = 0.5d0 * sqrt((1.0d0 / y))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.5 * Math.sqrt((1.0 / y));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 * math.sqrt((1.0 / y))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 * sqrt(Float64(1.0 / y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 * sqrt((1.0 / y));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
0.5 \cdot \sqrt{\frac{1}{y}}
\end{array}
Initial program 92.2%
Taylor expanded in y around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6451.9%
Simplified51.9%
Taylor expanded in y around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f648.0%
Simplified8.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (/ 0.5 (sqrt z)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 / sqrt(z);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 / sqrt(z)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.5 / Math.sqrt(z);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 / math.sqrt(z)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 / sqrt(z)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 / sqrt(z);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\frac{0.5}{\sqrt{z}}
\end{array}
Initial program 92.2%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6435.3%
Simplified35.3%
Taylor expanded in z around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f648.3%
Simplified8.3%
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f648.3%
Applied egg-rr8.3%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024152
(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))))