
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (sqrt (+ 1.0 t)))
(t_5 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_6 (+ (+ t_3 t_5) t_1)))
(if (<= t_6 0.0001)
(+
t_5
(+ (* 0.5 (sqrt (/ 1.0 x))) (* -0.125 (sqrt (/ 1.0 (* x (* x x)))))))
(if (<= t_6 2.00001)
(+
(- t_4 (sqrt t))
(+
(+ t_3 (/ (- (+ 1.0 y) y) (+ (sqrt y) (pow (+ 1.0 y) 0.5))))
(* 0.5 (sqrt (/ 1.0 z)))))
(+
(+
t_1
(+ (+ 1.0 t_2) (- (* y (+ 0.5 (* y -0.125))) (+ (sqrt x) (sqrt y)))))
(/ 1.0 (/ (+ (sqrt t) t_4) (- (+ 1.0 t) t))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((1.0 + t));
double t_5 = sqrt((1.0 + y)) - sqrt(y);
double t_6 = (t_3 + t_5) + t_1;
double tmp;
if (t_6 <= 0.0001) {
tmp = t_5 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
} else if (t_6 <= 2.00001) {
tmp = (t_4 - sqrt(t)) + ((t_3 + (((1.0 + y) - y) / (sqrt(y) + pow((1.0 + y), 0.5)))) + (0.5 * sqrt((1.0 / z))));
} else {
tmp = (t_1 + ((1.0 + t_2) + ((y * (0.5 + (y * -0.125))) - (sqrt(x) + sqrt(y))))) + (1.0 / ((sqrt(t) + t_4) / ((1.0 + t) - t)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = t_2 - sqrt(x)
t_4 = sqrt((1.0d0 + t))
t_5 = sqrt((1.0d0 + y)) - sqrt(y)
t_6 = (t_3 + t_5) + t_1
if (t_6 <= 0.0001d0) then
tmp = t_5 + ((0.5d0 * sqrt((1.0d0 / x))) + ((-0.125d0) * sqrt((1.0d0 / (x * (x * x))))))
else if (t_6 <= 2.00001d0) then
tmp = (t_4 - sqrt(t)) + ((t_3 + (((1.0d0 + y) - y) / (sqrt(y) + ((1.0d0 + y) ** 0.5d0)))) + (0.5d0 * sqrt((1.0d0 / z))))
else
tmp = (t_1 + ((1.0d0 + t_2) + ((y * (0.5d0 + (y * (-0.125d0)))) - (sqrt(x) + sqrt(y))))) + (1.0d0 / ((sqrt(t) + t_4) / ((1.0d0 + t) - t)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = t_2 - Math.sqrt(x);
double t_4 = Math.sqrt((1.0 + t));
double t_5 = Math.sqrt((1.0 + y)) - Math.sqrt(y);
double t_6 = (t_3 + t_5) + t_1;
double tmp;
if (t_6 <= 0.0001) {
tmp = t_5 + ((0.5 * Math.sqrt((1.0 / x))) + (-0.125 * Math.sqrt((1.0 / (x * (x * x))))));
} else if (t_6 <= 2.00001) {
tmp = (t_4 - Math.sqrt(t)) + ((t_3 + (((1.0 + y) - y) / (Math.sqrt(y) + Math.pow((1.0 + y), 0.5)))) + (0.5 * Math.sqrt((1.0 / z))));
} else {
tmp = (t_1 + ((1.0 + t_2) + ((y * (0.5 + (y * -0.125))) - (Math.sqrt(x) + Math.sqrt(y))))) + (1.0 / ((Math.sqrt(t) + t_4) / ((1.0 + t) - t)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) t_3 = t_2 - math.sqrt(x) t_4 = math.sqrt((1.0 + t)) t_5 = math.sqrt((1.0 + y)) - math.sqrt(y) t_6 = (t_3 + t_5) + t_1 tmp = 0 if t_6 <= 0.0001: tmp = t_5 + ((0.5 * math.sqrt((1.0 / x))) + (-0.125 * math.sqrt((1.0 / (x * (x * x)))))) elif t_6 <= 2.00001: tmp = (t_4 - math.sqrt(t)) + ((t_3 + (((1.0 + y) - y) / (math.sqrt(y) + math.pow((1.0 + y), 0.5)))) + (0.5 * math.sqrt((1.0 / z)))) else: tmp = (t_1 + ((1.0 + t_2) + ((y * (0.5 + (y * -0.125))) - (math.sqrt(x) + math.sqrt(y))))) + (1.0 / ((math.sqrt(t) + t_4) / ((1.0 + t) - t))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = sqrt(Float64(1.0 + t)) t_5 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_6 = Float64(Float64(t_3 + t_5) + t_1) tmp = 0.0 if (t_6 <= 0.0001) tmp = Float64(t_5 + Float64(Float64(0.5 * sqrt(Float64(1.0 / x))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(x * Float64(x * x))))))); elseif (t_6 <= 2.00001) tmp = Float64(Float64(t_4 - sqrt(t)) + Float64(Float64(t_3 + Float64(Float64(Float64(1.0 + y) - y) / Float64(sqrt(y) + (Float64(1.0 + y) ^ 0.5)))) + Float64(0.5 * sqrt(Float64(1.0 / z))))); else tmp = Float64(Float64(t_1 + Float64(Float64(1.0 + t_2) + Float64(Float64(y * Float64(0.5 + Float64(y * -0.125))) - Float64(sqrt(x) + sqrt(y))))) + Float64(1.0 / Float64(Float64(sqrt(t) + t_4) / Float64(Float64(1.0 + t) - t)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = t_2 - sqrt(x);
t_4 = sqrt((1.0 + t));
t_5 = sqrt((1.0 + y)) - sqrt(y);
t_6 = (t_3 + t_5) + t_1;
tmp = 0.0;
if (t_6 <= 0.0001)
tmp = t_5 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
elseif (t_6 <= 2.00001)
tmp = (t_4 - sqrt(t)) + ((t_3 + (((1.0 + y) - y) / (sqrt(y) + ((1.0 + y) ^ 0.5)))) + (0.5 * sqrt((1.0 / z))));
else
tmp = (t_1 + ((1.0 + t_2) + ((y * (0.5 + (y * -0.125))) - (sqrt(x) + sqrt(y))))) + (1.0 / ((sqrt(t) + t_4) / ((1.0 + t) - t)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$3 + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0001], N[(t$95$5 + N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $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$6, 2.00001], N[(N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 + N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + N[Power[N[(1.0 + y), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[(N[(1.0 + t$95$2), $MachinePrecision] + N[(N[(y * N[(0.5 + N[(y * -0.125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision] / N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{1 + t}\\
t_5 := \sqrt{1 + y} - \sqrt{y}\\
t_6 := \left(t\_3 + t\_5\right) + t\_1\\
\mathbf{if}\;t\_6 \leq 0.0001:\\
\;\;\;\;t\_5 + \left(0.5 \cdot \sqrt{\frac{1}{x}} + -0.125 \cdot \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}\right)\\
\mathbf{elif}\;t\_6 \leq 2.00001:\\
\;\;\;\;\left(t\_4 - \sqrt{t}\right) + \left(\left(t\_3 + \frac{\left(1 + y\right) - y}{\sqrt{y} + {\left(1 + y\right)}^{0.5}}\right) + 0.5 \cdot \sqrt{\frac{1}{z}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \left(\left(1 + t\_2\right) + \left(y \cdot \left(0.5 + y \cdot -0.125\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\right)\right) + \frac{1}{\frac{\sqrt{t} + t\_4}{\left(1 + t\right) - t}}\\
\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))) < 1.00000000000000005e-4Initial program 47.8%
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.f6447.8%
Simplified47.8%
Taylor expanded in t around inf
associate--l+N/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.f644.8%
Simplified4.8%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified23.0%
if 1.00000000000000005e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00001000000000007Initial program 96.3%
Taylor expanded in z around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6450.2%
Simplified50.2%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6450.2%
Applied egg-rr50.2%
if 2.00001000000000007 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6489.8%
Simplified89.8%
flip--N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-commutativeN/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-lowering-+.f6489.8%
Applied egg-rr89.8%
Final simplification53.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- t_3 (sqrt x)))
(t_5 (+ (+ t_4 t_2) t_1))
(t_6 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_5 0.0001)
(+
t_2
(+ (* 0.5 (sqrt (/ 1.0 x))) (* -0.125 (sqrt (/ 1.0 (* x (* x x)))))))
(if (<= t_5 2.00001)
(+
t_6
(+
(+ t_4 (/ (- (+ 1.0 y) y) (+ (sqrt y) (pow (+ 1.0 y) 0.5))))
(* 0.5 (sqrt (/ 1.0 z)))))
(+
t_6
(+
t_1
(+
(+ 1.0 t_3)
(- (* y (+ 0.5 (* y -0.125))) (+ (sqrt x) (sqrt y))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + y)) - sqrt(y);
double t_3 = sqrt((x + 1.0));
double t_4 = t_3 - sqrt(x);
double t_5 = (t_4 + t_2) + t_1;
double t_6 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_5 <= 0.0001) {
tmp = t_2 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 2.00001) {
tmp = t_6 + ((t_4 + (((1.0 + y) - y) / (sqrt(y) + pow((1.0 + y), 0.5)))) + (0.5 * sqrt((1.0 / z))));
} else {
tmp = t_6 + (t_1 + ((1.0 + t_3) + ((y * (0.5 + (y * -0.125))) - (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) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + y)) - sqrt(y)
t_3 = sqrt((x + 1.0d0))
t_4 = t_3 - sqrt(x)
t_5 = (t_4 + t_2) + t_1
t_6 = sqrt((1.0d0 + t)) - sqrt(t)
if (t_5 <= 0.0001d0) then
tmp = t_2 + ((0.5d0 * sqrt((1.0d0 / x))) + ((-0.125d0) * sqrt((1.0d0 / (x * (x * x))))))
else if (t_5 <= 2.00001d0) then
tmp = t_6 + ((t_4 + (((1.0d0 + y) - y) / (sqrt(y) + ((1.0d0 + y) ** 0.5d0)))) + (0.5d0 * sqrt((1.0d0 / z))))
else
tmp = t_6 + (t_1 + ((1.0d0 + t_3) + ((y * (0.5d0 + (y * (-0.125d0)))) - (sqrt(x) + sqrt(y)))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + y)) - Math.sqrt(y);
double t_3 = Math.sqrt((x + 1.0));
double t_4 = t_3 - Math.sqrt(x);
double t_5 = (t_4 + t_2) + t_1;
double t_6 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (t_5 <= 0.0001) {
tmp = t_2 + ((0.5 * Math.sqrt((1.0 / x))) + (-0.125 * Math.sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 2.00001) {
tmp = t_6 + ((t_4 + (((1.0 + y) - y) / (Math.sqrt(y) + Math.pow((1.0 + y), 0.5)))) + (0.5 * Math.sqrt((1.0 / z))));
} else {
tmp = t_6 + (t_1 + ((1.0 + t_3) + ((y * (0.5 + (y * -0.125))) - (Math.sqrt(x) + Math.sqrt(y)))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + y)) - math.sqrt(y) t_3 = math.sqrt((x + 1.0)) t_4 = t_3 - math.sqrt(x) t_5 = (t_4 + t_2) + t_1 t_6 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if t_5 <= 0.0001: tmp = t_2 + ((0.5 * math.sqrt((1.0 / x))) + (-0.125 * math.sqrt((1.0 / (x * (x * x)))))) elif t_5 <= 2.00001: tmp = t_6 + ((t_4 + (((1.0 + y) - y) / (math.sqrt(y) + math.pow((1.0 + y), 0.5)))) + (0.5 * math.sqrt((1.0 / z)))) else: tmp = t_6 + (t_1 + ((1.0 + t_3) + ((y * (0.5 + (y * -0.125))) - (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(1.0 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_3 - sqrt(x)) t_5 = Float64(Float64(t_4 + t_2) + t_1) t_6 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_5 <= 0.0001) tmp = Float64(t_2 + Float64(Float64(0.5 * sqrt(Float64(1.0 / x))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(x * Float64(x * x))))))); elseif (t_5 <= 2.00001) tmp = Float64(t_6 + Float64(Float64(t_4 + Float64(Float64(Float64(1.0 + y) - y) / Float64(sqrt(y) + (Float64(1.0 + y) ^ 0.5)))) + Float64(0.5 * sqrt(Float64(1.0 / z))))); else tmp = Float64(t_6 + Float64(t_1 + Float64(Float64(1.0 + t_3) + Float64(Float64(y * Float64(0.5 + Float64(y * -0.125))) - Float64(sqrt(x) + sqrt(y)))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + y)) - sqrt(y);
t_3 = sqrt((x + 1.0));
t_4 = t_3 - sqrt(x);
t_5 = (t_4 + t_2) + t_1;
t_6 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (t_5 <= 0.0001)
tmp = t_2 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
elseif (t_5 <= 2.00001)
tmp = t_6 + ((t_4 + (((1.0 + y) - y) / (sqrt(y) + ((1.0 + y) ^ 0.5)))) + (0.5 * sqrt((1.0 / z))));
else
tmp = t_6 + (t_1 + ((1.0 + t_3) + ((y * (0.5 + (y * -0.125))) - (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[(1.0 + z), $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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$4 + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0001], N[(t$95$2 + N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $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, 2.00001], N[(t$95$6 + N[(N[(t$95$4 + N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + N[Power[N[(1.0 + y), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$6 + N[(t$95$1 + N[(N[(1.0 + t$95$3), $MachinePrecision] + N[(N[(y * N[(0.5 + N[(y * -0.125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + y} - \sqrt{y}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_3 - \sqrt{x}\\
t_5 := \left(t\_4 + t\_2\right) + t\_1\\
t_6 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_5 \leq 0.0001:\\
\;\;\;\;t\_2 + \left(0.5 \cdot \sqrt{\frac{1}{x}} + -0.125 \cdot \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}\right)\\
\mathbf{elif}\;t\_5 \leq 2.00001:\\
\;\;\;\;t\_6 + \left(\left(t\_4 + \frac{\left(1 + y\right) - y}{\sqrt{y} + {\left(1 + y\right)}^{0.5}}\right) + 0.5 \cdot \sqrt{\frac{1}{z}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6 + \left(t\_1 + \left(\left(1 + t\_3\right) + \left(y \cdot \left(0.5 + y \cdot -0.125\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000005e-4Initial program 47.8%
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.f6447.8%
Simplified47.8%
Taylor expanded in t around inf
associate--l+N/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.f644.8%
Simplified4.8%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified23.0%
if 1.00000000000000005e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00001000000000007Initial program 96.3%
Taylor expanded in z around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6450.2%
Simplified50.2%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6450.2%
Applied egg-rr50.2%
if 2.00001000000000007 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6489.8%
Simplified89.8%
Final simplification53.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (- t_2 (sqrt y)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (+ (+ (- t_4 (sqrt x)) t_3) t_1))
(t_6 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_5 0.1)
(+
t_3
(+ (* 0.5 (sqrt (/ 1.0 x))) (* -0.125 (sqrt (/ 1.0 (* x (* x x)))))))
(if (<= t_5 2.00001)
(+
t_6
(+
(* 0.5 (sqrt (/ 1.0 z)))
(+
(/ (- (+ 1.0 y) y) (+ (sqrt y) t_2))
(+ 1.0 (- (* x 0.5) (sqrt x))))))
(+
t_6
(+
t_1
(+
(+ 1.0 t_4)
(- (* y (+ 0.5 (* y -0.125))) (+ (sqrt x) (sqrt y))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + y));
double t_3 = t_2 - sqrt(y);
double t_4 = sqrt((x + 1.0));
double t_5 = ((t_4 - sqrt(x)) + t_3) + t_1;
double t_6 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_5 <= 0.1) {
tmp = t_3 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 2.00001) {
tmp = t_6 + ((0.5 * sqrt((1.0 / z))) + ((((1.0 + y) - y) / (sqrt(y) + t_2)) + (1.0 + ((x * 0.5) - sqrt(x)))));
} else {
tmp = t_6 + (t_1 + ((1.0 + t_4) + ((y * (0.5 + (y * -0.125))) - (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) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + y))
t_3 = t_2 - sqrt(y)
t_4 = sqrt((x + 1.0d0))
t_5 = ((t_4 - sqrt(x)) + t_3) + t_1
t_6 = sqrt((1.0d0 + t)) - sqrt(t)
if (t_5 <= 0.1d0) then
tmp = t_3 + ((0.5d0 * sqrt((1.0d0 / x))) + ((-0.125d0) * sqrt((1.0d0 / (x * (x * x))))))
else if (t_5 <= 2.00001d0) then
tmp = t_6 + ((0.5d0 * sqrt((1.0d0 / z))) + ((((1.0d0 + y) - y) / (sqrt(y) + t_2)) + (1.0d0 + ((x * 0.5d0) - sqrt(x)))))
else
tmp = t_6 + (t_1 + ((1.0d0 + t_4) + ((y * (0.5d0 + (y * (-0.125d0)))) - (sqrt(x) + sqrt(y)))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + y));
double t_3 = t_2 - Math.sqrt(y);
double t_4 = Math.sqrt((x + 1.0));
double t_5 = ((t_4 - Math.sqrt(x)) + t_3) + t_1;
double t_6 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (t_5 <= 0.1) {
tmp = t_3 + ((0.5 * Math.sqrt((1.0 / x))) + (-0.125 * Math.sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 2.00001) {
tmp = t_6 + ((0.5 * Math.sqrt((1.0 / z))) + ((((1.0 + y) - y) / (Math.sqrt(y) + t_2)) + (1.0 + ((x * 0.5) - Math.sqrt(x)))));
} else {
tmp = t_6 + (t_1 + ((1.0 + t_4) + ((y * (0.5 + (y * -0.125))) - (Math.sqrt(x) + Math.sqrt(y)))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + y)) t_3 = t_2 - math.sqrt(y) t_4 = math.sqrt((x + 1.0)) t_5 = ((t_4 - math.sqrt(x)) + t_3) + t_1 t_6 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if t_5 <= 0.1: tmp = t_3 + ((0.5 * math.sqrt((1.0 / x))) + (-0.125 * math.sqrt((1.0 / (x * (x * x)))))) elif t_5 <= 2.00001: tmp = t_6 + ((0.5 * math.sqrt((1.0 / z))) + ((((1.0 + y) - y) / (math.sqrt(y) + t_2)) + (1.0 + ((x * 0.5) - math.sqrt(x))))) else: tmp = t_6 + (t_1 + ((1.0 + t_4) + ((y * (0.5 + (y * -0.125))) - (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(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(t_2 - sqrt(y)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(Float64(Float64(t_4 - sqrt(x)) + t_3) + t_1) t_6 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_5 <= 0.1) tmp = Float64(t_3 + Float64(Float64(0.5 * sqrt(Float64(1.0 / x))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(x * Float64(x * x))))))); elseif (t_5 <= 2.00001) tmp = Float64(t_6 + Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + Float64(Float64(Float64(Float64(1.0 + y) - y) / Float64(sqrt(y) + t_2)) + Float64(1.0 + Float64(Float64(x * 0.5) - sqrt(x)))))); else tmp = Float64(t_6 + Float64(t_1 + Float64(Float64(1.0 + t_4) + Float64(Float64(y * Float64(0.5 + Float64(y * -0.125))) - Float64(sqrt(x) + sqrt(y)))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + y));
t_3 = t_2 - sqrt(y);
t_4 = sqrt((x + 1.0));
t_5 = ((t_4 - sqrt(x)) + t_3) + t_1;
t_6 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (t_5 <= 0.1)
tmp = t_3 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
elseif (t_5 <= 2.00001)
tmp = t_6 + ((0.5 * sqrt((1.0 / z))) + ((((1.0 + y) - y) / (sqrt(y) + t_2)) + (1.0 + ((x * 0.5) - sqrt(x)))));
else
tmp = t_6 + (t_1 + ((1.0 + t_4) + ((y * (0.5 + (y * -0.125))) - (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[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.1], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $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, 2.00001], N[(t$95$6 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(x * 0.5), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$6 + N[(t$95$1 + N[(N[(1.0 + t$95$4), $MachinePrecision] + N[(N[(y * N[(0.5 + N[(y * -0.125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + y}\\
t_3 := t\_2 - \sqrt{y}\\
t_4 := \sqrt{x + 1}\\
t_5 := \left(\left(t\_4 - \sqrt{x}\right) + t\_3\right) + t\_1\\
t_6 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_5 \leq 0.1:\\
\;\;\;\;t\_3 + \left(0.5 \cdot \sqrt{\frac{1}{x}} + -0.125 \cdot \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}\right)\\
\mathbf{elif}\;t\_5 \leq 2.00001:\\
\;\;\;\;t\_6 + \left(0.5 \cdot \sqrt{\frac{1}{z}} + \left(\frac{\left(1 + y\right) - y}{\sqrt{y} + t\_2} + \left(1 + \left(x \cdot 0.5 - \sqrt{x}\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6 + \left(t\_1 + \left(\left(1 + t\_4\right) + \left(y \cdot \left(0.5 + y \cdot -0.125\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 49.7%
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.f6446.0%
Simplified46.0%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f645.2%
Simplified5.2%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified23.7%
if 0.10000000000000001 < (+.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))) < 2.00001000000000007Initial program 96.3%
Taylor expanded in z around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6450.0%
Simplified50.0%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6435.4%
Simplified35.4%
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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6435.4%
Applied egg-rr35.4%
if 2.00001000000000007 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6489.8%
Simplified89.8%
Final simplification42.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (- t_3 (sqrt y)))
(t_5 (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_4) t_1))
(t_6 (+ 1.0 (- (* x 0.5) (sqrt x)))))
(if (<= t_5 0.1)
(+
t_4
(+ (* 0.5 (sqrt (/ 1.0 x))) (* -0.125 (sqrt (/ 1.0 (* x (* x x)))))))
(if (<= t_5 2.00001)
(+
t_2
(+
(* 0.5 (sqrt (/ 1.0 z)))
(+ (/ (- (+ 1.0 y) y) (+ (sqrt y) t_3)) t_6)))
(+ t_2 (+ t_1 (+ t_4 t_6)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + y));
double t_4 = t_3 - sqrt(y);
double t_5 = ((sqrt((x + 1.0)) - sqrt(x)) + t_4) + t_1;
double t_6 = 1.0 + ((x * 0.5) - sqrt(x));
double tmp;
if (t_5 <= 0.1) {
tmp = t_4 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 2.00001) {
tmp = t_2 + ((0.5 * sqrt((1.0 / z))) + ((((1.0 + y) - y) / (sqrt(y) + t_3)) + t_6));
} else {
tmp = t_2 + (t_1 + (t_4 + t_6));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
t_3 = sqrt((1.0d0 + y))
t_4 = t_3 - sqrt(y)
t_5 = ((sqrt((x + 1.0d0)) - sqrt(x)) + t_4) + t_1
t_6 = 1.0d0 + ((x * 0.5d0) - sqrt(x))
if (t_5 <= 0.1d0) then
tmp = t_4 + ((0.5d0 * sqrt((1.0d0 / x))) + ((-0.125d0) * sqrt((1.0d0 / (x * (x * x))))))
else if (t_5 <= 2.00001d0) then
tmp = t_2 + ((0.5d0 * sqrt((1.0d0 / z))) + ((((1.0d0 + y) - y) / (sqrt(y) + t_3)) + t_6))
else
tmp = t_2 + (t_1 + (t_4 + t_6))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_3 = Math.sqrt((1.0 + y));
double t_4 = t_3 - Math.sqrt(y);
double t_5 = ((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + t_4) + t_1;
double t_6 = 1.0 + ((x * 0.5) - Math.sqrt(x));
double tmp;
if (t_5 <= 0.1) {
tmp = t_4 + ((0.5 * Math.sqrt((1.0 / x))) + (-0.125 * Math.sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 2.00001) {
tmp = t_2 + ((0.5 * Math.sqrt((1.0 / z))) + ((((1.0 + y) - y) / (Math.sqrt(y) + t_3)) + t_6));
} else {
tmp = t_2 + (t_1 + (t_4 + t_6));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + t)) - math.sqrt(t) t_3 = math.sqrt((1.0 + y)) t_4 = t_3 - math.sqrt(y) t_5 = ((math.sqrt((x + 1.0)) - math.sqrt(x)) + t_4) + t_1 t_6 = 1.0 + ((x * 0.5) - math.sqrt(x)) tmp = 0 if t_5 <= 0.1: tmp = t_4 + ((0.5 * math.sqrt((1.0 / x))) + (-0.125 * math.sqrt((1.0 / (x * (x * x)))))) elif t_5 <= 2.00001: tmp = t_2 + ((0.5 * math.sqrt((1.0 / z))) + ((((1.0 + y) - y) / (math.sqrt(y) + t_3)) + t_6)) else: tmp = t_2 + (t_1 + (t_4 + t_6)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(t_3 - sqrt(y)) t_5 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_4) + t_1) t_6 = Float64(1.0 + Float64(Float64(x * 0.5) - sqrt(x))) tmp = 0.0 if (t_5 <= 0.1) tmp = Float64(t_4 + Float64(Float64(0.5 * sqrt(Float64(1.0 / x))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(x * Float64(x * x))))))); elseif (t_5 <= 2.00001) tmp = Float64(t_2 + Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + Float64(Float64(Float64(Float64(1.0 + y) - y) / Float64(sqrt(y) + t_3)) + t_6))); else tmp = Float64(t_2 + Float64(t_1 + Float64(t_4 + t_6))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + t)) - sqrt(t);
t_3 = sqrt((1.0 + y));
t_4 = t_3 - sqrt(y);
t_5 = ((sqrt((x + 1.0)) - sqrt(x)) + t_4) + t_1;
t_6 = 1.0 + ((x * 0.5) - sqrt(x));
tmp = 0.0;
if (t_5 <= 0.1)
tmp = t_4 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
elseif (t_5 <= 2.00001)
tmp = t_2 + ((0.5 * sqrt((1.0 / z))) + ((((1.0 + y) - y) / (sqrt(y) + t_3)) + t_6));
else
tmp = t_2 + (t_1 + (t_4 + t_6));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$6 = N[(1.0 + N[(N[(x * 0.5), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.1], N[(t$95$4 + N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $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, 2.00001], N[(t$95$2 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(t$95$1 + N[(t$95$4 + t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + y}\\
t_4 := t\_3 - \sqrt{y}\\
t_5 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + t\_4\right) + t\_1\\
t_6 := 1 + \left(x \cdot 0.5 - \sqrt{x}\right)\\
\mathbf{if}\;t\_5 \leq 0.1:\\
\;\;\;\;t\_4 + \left(0.5 \cdot \sqrt{\frac{1}{x}} + -0.125 \cdot \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}\right)\\
\mathbf{elif}\;t\_5 \leq 2.00001:\\
\;\;\;\;t\_2 + \left(0.5 \cdot \sqrt{\frac{1}{z}} + \left(\frac{\left(1 + y\right) - y}{\sqrt{y} + t\_3} + t\_6\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(t\_1 + \left(t\_4 + t\_6\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 49.7%
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.f6446.0%
Simplified46.0%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f645.2%
Simplified5.2%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified23.7%
if 0.10000000000000001 < (+.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))) < 2.00001000000000007Initial program 96.3%
Taylor expanded in z around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6450.0%
Simplified50.0%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6435.4%
Simplified35.4%
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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6435.4%
Applied egg-rr35.4%
if 2.00001000000000007 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6499.3%
Simplified99.3%
Final simplification43.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (- t_3 (sqrt y)))
(t_5 (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_4) (- t_1 (sqrt z)))))
(if (<= t_5 0.1)
(+
t_4
(+ (* 0.5 (sqrt (/ 1.0 x))) (* -0.125 (sqrt (/ 1.0 (* x (* x x)))))))
(if (<= t_5 2.00001)
(+
t_2
(+
(* 0.5 (sqrt (/ 1.0 z)))
(+
(/ (- (+ 1.0 y) y) (+ (sqrt y) t_3))
(+ 1.0 (- (* x 0.5) (sqrt x))))))
(+ t_2 (- (+ (+ 1.0 t_3) t_1) (+ (sqrt y) (+ (sqrt x) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + y));
double t_4 = t_3 - sqrt(y);
double t_5 = ((sqrt((x + 1.0)) - sqrt(x)) + t_4) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 0.1) {
tmp = t_4 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 2.00001) {
tmp = t_2 + ((0.5 * sqrt((1.0 / z))) + ((((1.0 + y) - y) / (sqrt(y) + t_3)) + (1.0 + ((x * 0.5) - sqrt(x)))));
} else {
tmp = t_2 + (((1.0 + t_3) + t_1) - (sqrt(y) + (sqrt(x) + sqrt(z))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
t_3 = sqrt((1.0d0 + y))
t_4 = t_3 - sqrt(y)
t_5 = ((sqrt((x + 1.0d0)) - sqrt(x)) + t_4) + (t_1 - sqrt(z))
if (t_5 <= 0.1d0) then
tmp = t_4 + ((0.5d0 * sqrt((1.0d0 / x))) + ((-0.125d0) * sqrt((1.0d0 / (x * (x * x))))))
else if (t_5 <= 2.00001d0) then
tmp = t_2 + ((0.5d0 * sqrt((1.0d0 / z))) + ((((1.0d0 + y) - y) / (sqrt(y) + t_3)) + (1.0d0 + ((x * 0.5d0) - sqrt(x)))))
else
tmp = t_2 + (((1.0d0 + t_3) + t_1) - (sqrt(y) + (sqrt(x) + sqrt(z))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_3 = Math.sqrt((1.0 + y));
double t_4 = t_3 - Math.sqrt(y);
double t_5 = ((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + t_4) + (t_1 - Math.sqrt(z));
double tmp;
if (t_5 <= 0.1) {
tmp = t_4 + ((0.5 * Math.sqrt((1.0 / x))) + (-0.125 * Math.sqrt((1.0 / (x * (x * x))))));
} else if (t_5 <= 2.00001) {
tmp = t_2 + ((0.5 * Math.sqrt((1.0 / z))) + ((((1.0 + y) - y) / (Math.sqrt(y) + t_3)) + (1.0 + ((x * 0.5) - Math.sqrt(x)))));
} else {
tmp = t_2 + (((1.0 + t_3) + t_1) - (Math.sqrt(y) + (Math.sqrt(x) + Math.sqrt(z))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = math.sqrt((1.0 + t)) - math.sqrt(t) t_3 = math.sqrt((1.0 + y)) t_4 = t_3 - math.sqrt(y) t_5 = ((math.sqrt((x + 1.0)) - math.sqrt(x)) + t_4) + (t_1 - math.sqrt(z)) tmp = 0 if t_5 <= 0.1: tmp = t_4 + ((0.5 * math.sqrt((1.0 / x))) + (-0.125 * math.sqrt((1.0 / (x * (x * x)))))) elif t_5 <= 2.00001: tmp = t_2 + ((0.5 * math.sqrt((1.0 / z))) + ((((1.0 + y) - y) / (math.sqrt(y) + t_3)) + (1.0 + ((x * 0.5) - math.sqrt(x))))) else: tmp = t_2 + (((1.0 + t_3) + t_1) - (math.sqrt(y) + (math.sqrt(x) + math.sqrt(z)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(t_3 - sqrt(y)) t_5 = Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_4) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 0.1) tmp = Float64(t_4 + Float64(Float64(0.5 * sqrt(Float64(1.0 / x))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(x * Float64(x * x))))))); elseif (t_5 <= 2.00001) tmp = Float64(t_2 + Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + Float64(Float64(Float64(Float64(1.0 + y) - y) / Float64(sqrt(y) + t_3)) + Float64(1.0 + Float64(Float64(x * 0.5) - sqrt(x)))))); else tmp = Float64(t_2 + Float64(Float64(Float64(1.0 + t_3) + t_1) - Float64(sqrt(y) + Float64(sqrt(x) + sqrt(z))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
t_2 = sqrt((1.0 + t)) - sqrt(t);
t_3 = sqrt((1.0 + y));
t_4 = t_3 - sqrt(y);
t_5 = ((sqrt((x + 1.0)) - sqrt(x)) + t_4) + (t_1 - sqrt(z));
tmp = 0.0;
if (t_5 <= 0.1)
tmp = t_4 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
elseif (t_5 <= 2.00001)
tmp = t_2 + ((0.5 * sqrt((1.0 / z))) + ((((1.0 + y) - y) / (sqrt(y) + t_3)) + (1.0 + ((x * 0.5) - sqrt(x)))));
else
tmp = t_2 + (((1.0 + t_3) + t_1) - (sqrt(y) + (sqrt(x) + sqrt(z))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.1], N[(t$95$4 + N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $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, 2.00001], N[(t$95$2 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(x * 0.5), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(N[(1.0 + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + y}\\
t_4 := t\_3 - \sqrt{y}\\
t_5 := \left(\left(\sqrt{x + 1} - \sqrt{x}\right) + t\_4\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 0.1:\\
\;\;\;\;t\_4 + \left(0.5 \cdot \sqrt{\frac{1}{x}} + -0.125 \cdot \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}\right)\\
\mathbf{elif}\;t\_5 \leq 2.00001:\\
\;\;\;\;t\_2 + \left(0.5 \cdot \sqrt{\frac{1}{z}} + \left(\frac{\left(1 + y\right) - y}{\sqrt{y} + t\_3} + \left(1 + \left(x \cdot 0.5 - \sqrt{x}\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(\left(1 + t\_3\right) + t\_1\right) - \left(\sqrt{y} + \left(\sqrt{x} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 49.7%
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.f6446.0%
Simplified46.0%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f645.2%
Simplified5.2%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified23.7%
if 0.10000000000000001 < (+.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))) < 2.00001000000000007Initial program 96.3%
Taylor expanded in z around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6450.0%
Simplified50.0%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6435.4%
Simplified35.4%
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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6435.4%
Applied egg-rr35.4%
if 2.00001000000000007 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.3%
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
+-lowering-+.f64N/A
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6498.3%
Simplified98.3%
Final simplification43.3%
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)) (sqrt y)))
(t_2 (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_1)))
(if (<= t_2 0.0001)
(+
t_1
(+ (* 0.5 (sqrt (/ 1.0 x))) (* -0.125 (sqrt (/ 1.0 (* x (* x x)))))))
(+
(+ t_2 (/ (- (+ 1.0 z) z) (+ (sqrt z) (pow (+ 1.0 z) 0.5))))
(- (sqrt (+ 1.0 t)) (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y)) - sqrt(y);
double t_2 = (sqrt((x + 1.0)) - sqrt(x)) + t_1;
double tmp;
if (t_2 <= 0.0001) {
tmp = t_1 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
} else {
tmp = (t_2 + (((1.0 + z) - z) / (sqrt(z) + pow((1.0 + z), 0.5)))) + (sqrt((1.0 + t)) - sqrt(t));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + y)) - sqrt(y)
t_2 = (sqrt((x + 1.0d0)) - sqrt(x)) + t_1
if (t_2 <= 0.0001d0) then
tmp = t_1 + ((0.5d0 * sqrt((1.0d0 / x))) + ((-0.125d0) * sqrt((1.0d0 / (x * (x * x))))))
else
tmp = (t_2 + (((1.0d0 + z) - z) / (sqrt(z) + ((1.0d0 + z) ** 0.5d0)))) + (sqrt((1.0d0 + t)) - sqrt(t))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y)) - Math.sqrt(y);
double t_2 = (Math.sqrt((x + 1.0)) - Math.sqrt(x)) + t_1;
double tmp;
if (t_2 <= 0.0001) {
tmp = t_1 + ((0.5 * Math.sqrt((1.0 / x))) + (-0.125 * Math.sqrt((1.0 / (x * (x * x))))));
} else {
tmp = (t_2 + (((1.0 + z) - z) / (Math.sqrt(z) + Math.pow((1.0 + z), 0.5)))) + (Math.sqrt((1.0 + t)) - Math.sqrt(t));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) - math.sqrt(y) t_2 = (math.sqrt((x + 1.0)) - math.sqrt(x)) + t_1 tmp = 0 if t_2 <= 0.0001: tmp = t_1 + ((0.5 * math.sqrt((1.0 / x))) + (-0.125 * math.sqrt((1.0 / (x * (x * x)))))) else: tmp = (t_2 + (((1.0 + z) - z) / (math.sqrt(z) + math.pow((1.0 + z), 0.5)))) + (math.sqrt((1.0 + t)) - math.sqrt(t)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_2 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_1) tmp = 0.0 if (t_2 <= 0.0001) tmp = Float64(t_1 + Float64(Float64(0.5 * sqrt(Float64(1.0 / x))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(x * Float64(x * x))))))); else tmp = Float64(Float64(t_2 + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + (Float64(1.0 + z) ^ 0.5)))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y)) - sqrt(y);
t_2 = (sqrt((x + 1.0)) - sqrt(x)) + t_1;
tmp = 0.0;
if (t_2 <= 0.0001)
tmp = t_1 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
else
tmp = (t_2 + (((1.0 + z) - z) / (sqrt(z) + ((1.0 + z) ^ 0.5)))) + (sqrt((1.0 + t)) - sqrt(t));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$2, 0.0001], N[(t$95$1 + N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(-0.125 * N[Sqrt[N[(1.0 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + N[Power[N[(1.0 + z), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y} - \sqrt{y}\\
t_2 := \left(\sqrt{x + 1} - \sqrt{x}\right) + t\_1\\
\mathbf{if}\;t\_2 \leq 0.0001:\\
\;\;\;\;t\_1 + \left(0.5 \cdot \sqrt{\frac{1}{x}} + -0.125 \cdot \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + \frac{\left(1 + z\right) - z}{\sqrt{z} + {\left(1 + z\right)}^{0.5}}\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.00000000000000005e-4Initial program 75.2%
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.f6427.0%
Simplified27.0%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f645.4%
Simplified5.4%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified14.0%
if 1.00000000000000005e-4 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.1%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6497.3%
Applied egg-rr97.3%
Final simplification78.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (- t_2 (sqrt y))))
(if (<= (+ t_1 t_3) 0.0001)
(+
t_3
(+ (* 0.5 (sqrt (/ 1.0 x))) (* -0.125 (sqrt (/ 1.0 (* x (* x x)))))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+
(+ t_1 (/ (- (+ 1.0 y) y) (+ (sqrt y) t_2)))
(- (sqrt (+ 1.0 z)) (sqrt z)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0)) - sqrt(x);
double t_2 = sqrt((1.0 + y));
double t_3 = t_2 - sqrt(y);
double tmp;
if ((t_1 + t_3) <= 0.0001) {
tmp = t_3 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((t_1 + (((1.0 + y) - y) / (sqrt(y) + t_2))) + (sqrt((1.0 + z)) - sqrt(z)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((x + 1.0d0)) - sqrt(x)
t_2 = sqrt((1.0d0 + y))
t_3 = t_2 - sqrt(y)
if ((t_1 + t_3) <= 0.0001d0) then
tmp = t_3 + ((0.5d0 * sqrt((1.0d0 / x))) + ((-0.125d0) * sqrt((1.0d0 / (x * (x * x))))))
else
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + ((t_1 + (((1.0d0 + y) - y) / (sqrt(y) + t_2))) + (sqrt((1.0d0 + z)) - sqrt(z)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0)) - Math.sqrt(x);
double t_2 = Math.sqrt((1.0 + y));
double t_3 = t_2 - Math.sqrt(y);
double tmp;
if ((t_1 + t_3) <= 0.0001) {
tmp = t_3 + ((0.5 * Math.sqrt((1.0 / x))) + (-0.125 * Math.sqrt((1.0 / (x * (x * x))))));
} else {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((t_1 + (((1.0 + y) - y) / (Math.sqrt(y) + t_2))) + (Math.sqrt((1.0 + z)) - Math.sqrt(z)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) - math.sqrt(x) t_2 = math.sqrt((1.0 + y)) t_3 = t_2 - math.sqrt(y) tmp = 0 if (t_1 + t_3) <= 0.0001: tmp = t_3 + ((0.5 * math.sqrt((1.0 / x))) + (-0.125 * math.sqrt((1.0 / (x * (x * x)))))) else: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + ((t_1 + (((1.0 + y) - y) / (math.sqrt(y) + t_2))) + (math.sqrt((1.0 + z)) - math.sqrt(z))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(t_2 - sqrt(y)) tmp = 0.0 if (Float64(t_1 + t_3) <= 0.0001) tmp = Float64(t_3 + Float64(Float64(0.5 * sqrt(Float64(1.0 / x))) + Float64(-0.125 * sqrt(Float64(1.0 / Float64(x * Float64(x * x))))))); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_1 + Float64(Float64(Float64(1.0 + y) - y) / Float64(sqrt(y) + t_2))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0)) - sqrt(x);
t_2 = sqrt((1.0 + y));
t_3 = t_2 - sqrt(y);
tmp = 0.0;
if ((t_1 + t_3) <= 0.0001)
tmp = t_3 + ((0.5 * sqrt((1.0 / x))) + (-0.125 * sqrt((1.0 / (x * (x * x))))));
else
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((t_1 + (((1.0 + y) - y) / (sqrt(y) + t_2))) + (sqrt((1.0 + z)) - sqrt(z)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$1 + t$95$3), $MachinePrecision], 0.0001], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(-0.125 * N[Sqrt[N[(1.0 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 + N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1} - \sqrt{x}\\
t_2 := \sqrt{1 + y}\\
t_3 := t\_2 - \sqrt{y}\\
\mathbf{if}\;t\_1 + t\_3 \leq 0.0001:\\
\;\;\;\;t\_3 + \left(0.5 \cdot \sqrt{\frac{1}{x}} + -0.125 \cdot \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_1 + \frac{\left(1 + y\right) - y}{\sqrt{y} + t\_2}\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.00000000000000005e-4Initial program 75.2%
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.f6427.0%
Simplified27.0%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f645.4%
Simplified5.4%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified14.0%
if 1.00000000000000005e-4 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.1%
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.f6497.2%
Applied egg-rr97.2%
Final simplification78.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z))))
(if (<= t_1 0.00025)
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+
(* 0.5 (sqrt (/ 1.0 z)))
(+
(/ (- (+ 1.0 y) y) (+ (sqrt y) (sqrt (+ 1.0 y))))
(+ 1.0 (- (* x 0.5) (sqrt x))))))
(+
(+ t_1 (+ (+ 1.0 (sqrt (+ x 1.0))) (* -0.125 (* y y))))
(/ 1.0 (/ (+ (sqrt t) (pow (+ 1.0 t) 0.5)) (- (+ 1.0 t) t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double tmp;
if (t_1 <= 0.00025) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((0.5 * sqrt((1.0 / z))) + ((((1.0 + y) - y) / (sqrt(y) + sqrt((1.0 + y)))) + (1.0 + ((x * 0.5) - sqrt(x)))));
} else {
tmp = (t_1 + ((1.0 + sqrt((x + 1.0))) + (-0.125 * (y * y)))) + (1.0 / ((sqrt(t) + pow((1.0 + t), 0.5)) / ((1.0 + t) - t)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
if (t_1 <= 0.00025d0) then
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + ((0.5d0 * sqrt((1.0d0 / z))) + ((((1.0d0 + y) - y) / (sqrt(y) + sqrt((1.0d0 + y)))) + (1.0d0 + ((x * 0.5d0) - sqrt(x)))))
else
tmp = (t_1 + ((1.0d0 + sqrt((x + 1.0d0))) + ((-0.125d0) * (y * y)))) + (1.0d0 / ((sqrt(t) + ((1.0d0 + t) ** 0.5d0)) / ((1.0d0 + t) - t)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double tmp;
if (t_1 <= 0.00025) {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((0.5 * Math.sqrt((1.0 / z))) + ((((1.0 + y) - y) / (Math.sqrt(y) + Math.sqrt((1.0 + y)))) + (1.0 + ((x * 0.5) - Math.sqrt(x)))));
} else {
tmp = (t_1 + ((1.0 + Math.sqrt((x + 1.0))) + (-0.125 * (y * y)))) + (1.0 / ((Math.sqrt(t) + Math.pow((1.0 + t), 0.5)) / ((1.0 + t) - t)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) tmp = 0 if t_1 <= 0.00025: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + ((0.5 * math.sqrt((1.0 / z))) + ((((1.0 + y) - y) / (math.sqrt(y) + math.sqrt((1.0 + y)))) + (1.0 + ((x * 0.5) - math.sqrt(x))))) else: tmp = (t_1 + ((1.0 + math.sqrt((x + 1.0))) + (-0.125 * (y * y)))) + (1.0 / ((math.sqrt(t) + math.pow((1.0 + t), 0.5)) / ((1.0 + t) - t))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) tmp = 0.0 if (t_1 <= 0.00025) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + Float64(Float64(Float64(Float64(1.0 + y) - y) / Float64(sqrt(y) + sqrt(Float64(1.0 + y)))) + Float64(1.0 + Float64(Float64(x * 0.5) - sqrt(x)))))); else tmp = Float64(Float64(t_1 + Float64(Float64(1.0 + sqrt(Float64(x + 1.0))) + Float64(-0.125 * Float64(y * y)))) + Float64(1.0 / Float64(Float64(sqrt(t) + (Float64(1.0 + t) ^ 0.5)) / Float64(Float64(1.0 + t) - t)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
tmp = 0.0;
if (t_1 <= 0.00025)
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((0.5 * sqrt((1.0 / z))) + ((((1.0 + y) - y) / (sqrt(y) + sqrt((1.0 + y)))) + (1.0 + ((x * 0.5) - sqrt(x)))));
else
tmp = (t_1 + ((1.0 + sqrt((x + 1.0))) + (-0.125 * (y * y)))) + (1.0 / ((sqrt(t) + ((1.0 + t) ^ 0.5)) / ((1.0 + t) - t)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.00025], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(1.0 + y), $MachinePrecision] - y), $MachinePrecision] / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(x * 0.5), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[(N[(1.0 + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[(N[Sqrt[t], $MachinePrecision] + N[Power[N[(1.0 + t), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
\mathbf{if}\;t\_1 \leq 0.00025:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(0.5 \cdot \sqrt{\frac{1}{z}} + \left(\frac{\left(1 + y\right) - y}{\sqrt{y} + \sqrt{1 + y}} + \left(1 + \left(x \cdot 0.5 - \sqrt{x}\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \left(\left(1 + \sqrt{x + 1}\right) + -0.125 \cdot \left(y \cdot y\right)\right)\right) + \frac{1}{\frac{\sqrt{t} + {\left(1 + t\right)}^{0.5}}{\left(1 + t\right) - t}}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 2.5000000000000001e-4Initial program 85.7%
Taylor expanded in z around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6490.7%
Simplified90.7%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6455.2%
Simplified55.2%
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
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6455.2%
Applied egg-rr55.2%
if 2.5000000000000001e-4 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.7%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6430.6%
Simplified30.6%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6424.6%
Simplified24.6%
flip--N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f6424.6%
Applied egg-rr24.6%
Final simplification38.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z))))
(if (<= t_1 0.00025)
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+
(* 0.5 (sqrt (/ 1.0 z)))
(+ (- (sqrt (+ 1.0 y)) (sqrt y)) (+ 1.0 (- (* x 0.5) (sqrt x))))))
(+
(+ t_1 (+ (+ 1.0 (sqrt (+ x 1.0))) (* -0.125 (* y y))))
(/ 1.0 (/ (+ (sqrt t) (pow (+ 1.0 t) 0.5)) (- (+ 1.0 t) t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double tmp;
if (t_1 <= 0.00025) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((0.5 * sqrt((1.0 / z))) + ((sqrt((1.0 + y)) - sqrt(y)) + (1.0 + ((x * 0.5) - sqrt(x)))));
} else {
tmp = (t_1 + ((1.0 + sqrt((x + 1.0))) + (-0.125 * (y * y)))) + (1.0 / ((sqrt(t) + pow((1.0 + t), 0.5)) / ((1.0 + t) - t)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
if (t_1 <= 0.00025d0) then
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + ((0.5d0 * sqrt((1.0d0 / z))) + ((sqrt((1.0d0 + y)) - sqrt(y)) + (1.0d0 + ((x * 0.5d0) - sqrt(x)))))
else
tmp = (t_1 + ((1.0d0 + sqrt((x + 1.0d0))) + ((-0.125d0) * (y * y)))) + (1.0d0 / ((sqrt(t) + ((1.0d0 + t) ** 0.5d0)) / ((1.0d0 + t) - t)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double tmp;
if (t_1 <= 0.00025) {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((0.5 * Math.sqrt((1.0 / z))) + ((Math.sqrt((1.0 + y)) - Math.sqrt(y)) + (1.0 + ((x * 0.5) - Math.sqrt(x)))));
} else {
tmp = (t_1 + ((1.0 + Math.sqrt((x + 1.0))) + (-0.125 * (y * y)))) + (1.0 / ((Math.sqrt(t) + Math.pow((1.0 + t), 0.5)) / ((1.0 + t) - t)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) tmp = 0 if t_1 <= 0.00025: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + ((0.5 * math.sqrt((1.0 / z))) + ((math.sqrt((1.0 + y)) - math.sqrt(y)) + (1.0 + ((x * 0.5) - math.sqrt(x))))) else: tmp = (t_1 + ((1.0 + math.sqrt((x + 1.0))) + (-0.125 * (y * y)))) + (1.0 / ((math.sqrt(t) + math.pow((1.0 + t), 0.5)) / ((1.0 + t) - t))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) tmp = 0.0 if (t_1 <= 0.00025) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(0.5 * sqrt(Float64(1.0 / z))) + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + Float64(1.0 + Float64(Float64(x * 0.5) - sqrt(x)))))); else tmp = Float64(Float64(t_1 + Float64(Float64(1.0 + sqrt(Float64(x + 1.0))) + Float64(-0.125 * Float64(y * y)))) + Float64(1.0 / Float64(Float64(sqrt(t) + (Float64(1.0 + t) ^ 0.5)) / Float64(Float64(1.0 + t) - t)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
tmp = 0.0;
if (t_1 <= 0.00025)
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((0.5 * sqrt((1.0 / z))) + ((sqrt((1.0 + y)) - sqrt(y)) + (1.0 + ((x * 0.5) - sqrt(x)))));
else
tmp = (t_1 + ((1.0 + sqrt((x + 1.0))) + (-0.125 * (y * y)))) + (1.0 / ((sqrt(t) + ((1.0 + t) ^ 0.5)) / ((1.0 + t) - t)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.00025], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(x * 0.5), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[(N[(1.0 + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[(N[Sqrt[t], $MachinePrecision] + N[Power[N[(1.0 + t), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
\mathbf{if}\;t\_1 \leq 0.00025:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(0.5 \cdot \sqrt{\frac{1}{z}} + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \left(1 + \left(x \cdot 0.5 - \sqrt{x}\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \left(\left(1 + \sqrt{x + 1}\right) + -0.125 \cdot \left(y \cdot y\right)\right)\right) + \frac{1}{\frac{\sqrt{t} + {\left(1 + t\right)}^{0.5}}{\left(1 + t\right) - t}}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 2.5000000000000001e-4Initial program 85.7%
Taylor expanded in z around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6490.7%
Simplified90.7%
Taylor expanded in x around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6455.2%
Simplified55.2%
if 2.5000000000000001e-4 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.7%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6430.6%
Simplified30.6%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6424.6%
Simplified24.6%
flip--N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f6424.6%
Applied egg-rr24.6%
Final simplification38.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t))) (t_2 (sqrt (+ 1.0 z))))
(if (<= t_1 0.0)
(+ 1.0 (- (+ (sqrt (+ 1.0 y)) (/ 1.0 (+ (sqrt z) t_2))) (sqrt y)))
(+ t_1 (+ (- t_2 (sqrt z)) (+ (* -0.125 (* y y)) 2.0))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((1.0 + z));
double tmp;
if (t_1 <= 0.0) {
tmp = 1.0 + ((sqrt((1.0 + y)) + (1.0 / (sqrt(z) + t_2))) - sqrt(y));
} else {
tmp = t_1 + ((t_2 - sqrt(z)) + ((-0.125 * (y * y)) + 2.0));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + t)) - sqrt(t)
t_2 = sqrt((1.0d0 + z))
if (t_1 <= 0.0d0) then
tmp = 1.0d0 + ((sqrt((1.0d0 + y)) + (1.0d0 / (sqrt(z) + t_2))) - sqrt(y))
else
tmp = t_1 + ((t_2 - sqrt(z)) + (((-0.125d0) * (y * y)) + 2.0d0))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_2 = Math.sqrt((1.0 + z));
double tmp;
if (t_1 <= 0.0) {
tmp = 1.0 + ((Math.sqrt((1.0 + y)) + (1.0 / (Math.sqrt(z) + t_2))) - Math.sqrt(y));
} else {
tmp = t_1 + ((t_2 - Math.sqrt(z)) + ((-0.125 * (y * y)) + 2.0));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + t)) - math.sqrt(t) t_2 = math.sqrt((1.0 + z)) tmp = 0 if t_1 <= 0.0: tmp = 1.0 + ((math.sqrt((1.0 + y)) + (1.0 / (math.sqrt(z) + t_2))) - math.sqrt(y)) else: tmp = t_1 + ((t_2 - math.sqrt(z)) + ((-0.125 * (y * y)) + 2.0)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (t_1 <= 0.0) tmp = Float64(1.0 + Float64(Float64(sqrt(Float64(1.0 + y)) + Float64(1.0 / Float64(sqrt(z) + t_2))) - sqrt(y))); else tmp = Float64(t_1 + Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(-0.125 * Float64(y * y)) + 2.0))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + t)) - sqrt(t);
t_2 = sqrt((1.0 + z));
tmp = 0.0;
if (t_1 <= 0.0)
tmp = 1.0 + ((sqrt((1.0 + y)) + (1.0 / (sqrt(z) + t_2))) - sqrt(y));
else
tmp = t_1 + ((t_2 - sqrt(z)) + ((-0.125 * (y * y)) + 2.0));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$1, 0.0], N[(1.0 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{1 + z}\\
\mathbf{if}\;t\_1 \leq 0:\\
\;\;\;\;1 + \left(\left(\sqrt{1 + y} + \frac{1}{\sqrt{z} + t\_2}\right) - \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\left(t\_2 - \sqrt{z}\right) + \left(-0.125 \cdot \left(y \cdot y\right) + 2\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) < 0.0Initial program 88.2%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6488.4%
Applied egg-rr88.4%
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
sqrt-lowering-sqrt.f64N/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
sqrt-lowering-sqrt.f6445.5%
Simplified45.5%
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
/-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
sqrt-lowering-sqrt.f6447.8%
Simplified47.8%
Taylor expanded in y around inf
sqrt-lowering-sqrt.f6457.2%
Simplified57.2%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) Initial program 96.1%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.9%
Simplified33.9%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.0%
Simplified27.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6430.4%
Simplified30.4%
Final simplification43.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 t))))
(if (<= (- t_1 (sqrt t)) 0.0)
(+
1.0
(- (+ (sqrt (+ 1.0 y)) (/ 1.0 (+ (sqrt z) (sqrt (+ 1.0 z))))) (sqrt y)))
(-
(+ t_1 (+ 3.0 (+ (* -0.125 (* y y)) (* 0.5 z))))
(+ (sqrt z) (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t));
double tmp;
if ((t_1 - sqrt(t)) <= 0.0) {
tmp = 1.0 + ((sqrt((1.0 + y)) + (1.0 / (sqrt(z) + sqrt((1.0 + z))))) - sqrt(y));
} else {
tmp = (t_1 + (3.0 + ((-0.125 * (y * y)) + (0.5 * z)))) - (sqrt(z) + sqrt(t));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((1.0d0 + t))
if ((t_1 - sqrt(t)) <= 0.0d0) then
tmp = 1.0d0 + ((sqrt((1.0d0 + y)) + (1.0d0 / (sqrt(z) + sqrt((1.0d0 + z))))) - sqrt(y))
else
tmp = (t_1 + (3.0d0 + (((-0.125d0) * (y * y)) + (0.5d0 * z)))) - (sqrt(z) + sqrt(t))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + t));
double tmp;
if ((t_1 - Math.sqrt(t)) <= 0.0) {
tmp = 1.0 + ((Math.sqrt((1.0 + y)) + (1.0 / (Math.sqrt(z) + Math.sqrt((1.0 + z))))) - Math.sqrt(y));
} else {
tmp = (t_1 + (3.0 + ((-0.125 * (y * y)) + (0.5 * z)))) - (Math.sqrt(z) + Math.sqrt(t));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + t)) tmp = 0 if (t_1 - math.sqrt(t)) <= 0.0: tmp = 1.0 + ((math.sqrt((1.0 + y)) + (1.0 / (math.sqrt(z) + math.sqrt((1.0 + z))))) - math.sqrt(y)) else: tmp = (t_1 + (3.0 + ((-0.125 * (y * y)) + (0.5 * z)))) - (math.sqrt(z) + math.sqrt(t)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + t)) tmp = 0.0 if (Float64(t_1 - sqrt(t)) <= 0.0) tmp = Float64(1.0 + Float64(Float64(sqrt(Float64(1.0 + y)) + Float64(1.0 / Float64(sqrt(z) + sqrt(Float64(1.0 + z))))) - sqrt(y))); else tmp = Float64(Float64(t_1 + Float64(3.0 + Float64(Float64(-0.125 * Float64(y * y)) + Float64(0.5 * z)))) - Float64(sqrt(z) + sqrt(t))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + t));
tmp = 0.0;
if ((t_1 - sqrt(t)) <= 0.0)
tmp = 1.0 + ((sqrt((1.0 + y)) + (1.0 / (sqrt(z) + sqrt((1.0 + z))))) - sqrt(y));
else
tmp = (t_1 + (3.0 + ((-0.125 * (y * y)) + (0.5 * z)))) - (sqrt(z) + sqrt(t));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision], 0.0], N[(1.0 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[(3.0 + N[(N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision] + N[(0.5 * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t}\\
\mathbf{if}\;t\_1 - \sqrt{t} \leq 0:\\
\;\;\;\;1 + \left(\left(\sqrt{1 + y} + \frac{1}{\sqrt{z} + \sqrt{1 + z}}\right) - \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \left(3 + \left(-0.125 \cdot \left(y \cdot y\right) + 0.5 \cdot z\right)\right)\right) - \left(\sqrt{z} + \sqrt{t}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) < 0.0Initial program 88.2%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6488.4%
Applied egg-rr88.4%
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
sqrt-lowering-sqrt.f64N/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
sqrt-lowering-sqrt.f6445.5%
Simplified45.5%
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
/-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
sqrt-lowering-sqrt.f6447.8%
Simplified47.8%
Taylor expanded in y around inf
sqrt-lowering-sqrt.f6457.2%
Simplified57.2%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) Initial program 96.1%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.9%
Simplified33.9%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.0%
Simplified27.0%
Taylor expanded in x around 0
--lowering--.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
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6416.9%
Simplified16.9%
Taylor expanded in z around 0
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6416.9%
Simplified16.9%
Final simplification36.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0))) (t_2 (sqrt (+ 1.0 z))))
(if (<= y 7.2e-68)
(+
(+ (- t_2 (sqrt z)) (+ (+ 1.0 t_1) (* -0.125 (* y y))))
(/ 1.0 (/ (+ (sqrt t) (pow (+ 1.0 t) 0.5)) (- (+ 1.0 t) t))))
(if (<= y 190000000.0)
(+
(- (- 1.0 (sqrt x)) (sqrt y))
(+ (sqrt (+ 1.0 y)) (/ 1.0 (+ (sqrt z) t_2))))
(+ (- t_1 (sqrt x)) (* 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((x + 1.0));
double t_2 = sqrt((1.0 + z));
double tmp;
if (y <= 7.2e-68) {
tmp = ((t_2 - sqrt(z)) + ((1.0 + t_1) + (-0.125 * (y * y)))) + (1.0 / ((sqrt(t) + pow((1.0 + t), 0.5)) / ((1.0 + t) - t)));
} else if (y <= 190000000.0) {
tmp = ((1.0 - sqrt(x)) - sqrt(y)) + (sqrt((1.0 + y)) + (1.0 / (sqrt(z) + t_2)));
} else {
tmp = (t_1 - sqrt(x)) + (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) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + z))
if (y <= 7.2d-68) then
tmp = ((t_2 - sqrt(z)) + ((1.0d0 + t_1) + ((-0.125d0) * (y * y)))) + (1.0d0 / ((sqrt(t) + ((1.0d0 + t) ** 0.5d0)) / ((1.0d0 + t) - t)))
else if (y <= 190000000.0d0) then
tmp = ((1.0d0 - sqrt(x)) - sqrt(y)) + (sqrt((1.0d0 + y)) + (1.0d0 / (sqrt(z) + t_2)))
else
tmp = (t_1 - sqrt(x)) + (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((x + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double tmp;
if (y <= 7.2e-68) {
tmp = ((t_2 - Math.sqrt(z)) + ((1.0 + t_1) + (-0.125 * (y * y)))) + (1.0 / ((Math.sqrt(t) + Math.pow((1.0 + t), 0.5)) / ((1.0 + t) - t)));
} else if (y <= 190000000.0) {
tmp = ((1.0 - Math.sqrt(x)) - Math.sqrt(y)) + (Math.sqrt((1.0 + y)) + (1.0 / (Math.sqrt(z) + t_2)));
} else {
tmp = (t_1 - Math.sqrt(x)) + (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((x + 1.0)) t_2 = math.sqrt((1.0 + z)) tmp = 0 if y <= 7.2e-68: tmp = ((t_2 - math.sqrt(z)) + ((1.0 + t_1) + (-0.125 * (y * y)))) + (1.0 / ((math.sqrt(t) + math.pow((1.0 + t), 0.5)) / ((1.0 + t) - t))) elif y <= 190000000.0: tmp = ((1.0 - math.sqrt(x)) - math.sqrt(y)) + (math.sqrt((1.0 + y)) + (1.0 / (math.sqrt(z) + t_2))) else: tmp = (t_1 - math.sqrt(x)) + (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 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (y <= 7.2e-68) tmp = Float64(Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(1.0 + t_1) + Float64(-0.125 * Float64(y * y)))) + Float64(1.0 / Float64(Float64(sqrt(t) + (Float64(1.0 + t) ^ 0.5)) / Float64(Float64(1.0 + t) - t)))); elseif (y <= 190000000.0) tmp = Float64(Float64(Float64(1.0 - sqrt(x)) - sqrt(y)) + Float64(sqrt(Float64(1.0 + y)) + Float64(1.0 / Float64(sqrt(z) + t_2)))); else tmp = Float64(Float64(t_1 - sqrt(x)) + 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((x + 1.0));
t_2 = sqrt((1.0 + z));
tmp = 0.0;
if (y <= 7.2e-68)
tmp = ((t_2 - sqrt(z)) + ((1.0 + t_1) + (-0.125 * (y * y)))) + (1.0 / ((sqrt(t) + ((1.0 + t) ^ 0.5)) / ((1.0 + t) - t)));
elseif (y <= 190000000.0)
tmp = ((1.0 - sqrt(x)) - sqrt(y)) + (sqrt((1.0 + y)) + (1.0 / (sqrt(z) + t_2)));
else
tmp = (t_1 - sqrt(x)) + (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[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 7.2e-68], N[(N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[(N[Sqrt[t], $MachinePrecision] + N[Power[N[(1.0 + t), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 190000000.0], N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
\mathbf{if}\;y \leq 7.2 \cdot 10^{-68}:\\
\;\;\;\;\left(\left(t\_2 - \sqrt{z}\right) + \left(\left(1 + t\_1\right) + -0.125 \cdot \left(y \cdot y\right)\right)\right) + \frac{1}{\frac{\sqrt{t} + {\left(1 + t\right)}^{0.5}}{\left(1 + t\right) - t}}\\
\mathbf{elif}\;y \leq 190000000:\\
\;\;\;\;\left(\left(1 - \sqrt{x}\right) - \sqrt{y}\right) + \left(\sqrt{1 + y} + \frac{1}{\sqrt{z} + t\_2}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{y}}\\
\end{array}
\end{array}
if y < 7.20000000000000015e-68Initial program 96.0%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6463.0%
Simplified63.0%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6454.5%
Simplified54.5%
flip--N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f6454.5%
Applied egg-rr54.5%
if 7.20000000000000015e-68 < y < 1.9e8Initial program 97.8%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6497.8%
Applied egg-rr97.8%
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
sqrt-lowering-sqrt.f64N/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
sqrt-lowering-sqrt.f6425.7%
Simplified25.7%
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
/-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
sqrt-lowering-sqrt.f6423.8%
Simplified23.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/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
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
Simplified23.9%
if 1.9e8 < y Initial program 87.2%
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.f6418.5%
Simplified18.5%
Taylor expanded in t around inf
associate--l+N/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.f6422.4%
Simplified22.4%
Taylor expanded in y 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
sqrt-lowering-sqrt.f6427.2%
Simplified27.2%
Final simplification36.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z))))
(if (<= y 2.2e-68)
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- t_1 (sqrt z)) (+ (* -0.125 (* y y)) 2.0)))
(if (<= y 190000000.0)
(+
(- (- 1.0 (sqrt x)) (sqrt y))
(+ (sqrt (+ 1.0 y)) (/ 1.0 (+ (sqrt z) t_1))))
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (* 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((1.0 + z));
double tmp;
if (y <= 2.2e-68) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((t_1 - sqrt(z)) + ((-0.125 * (y * y)) + 2.0));
} else if (y <= 190000000.0) {
tmp = ((1.0 - sqrt(x)) - sqrt(y)) + (sqrt((1.0 + y)) + (1.0 / (sqrt(z) + t_1)));
} else {
tmp = (sqrt((x + 1.0)) - sqrt(x)) + (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) :: tmp
t_1 = sqrt((1.0d0 + z))
if (y <= 2.2d-68) then
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + ((t_1 - sqrt(z)) + (((-0.125d0) * (y * y)) + 2.0d0))
else if (y <= 190000000.0d0) then
tmp = ((1.0d0 - sqrt(x)) - sqrt(y)) + (sqrt((1.0d0 + y)) + (1.0d0 / (sqrt(z) + t_1)))
else
tmp = (sqrt((x + 1.0d0)) - sqrt(x)) + (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((1.0 + z));
double tmp;
if (y <= 2.2e-68) {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((t_1 - Math.sqrt(z)) + ((-0.125 * (y * y)) + 2.0));
} else if (y <= 190000000.0) {
tmp = ((1.0 - Math.sqrt(x)) - Math.sqrt(y)) + (Math.sqrt((1.0 + y)) + (1.0 / (Math.sqrt(z) + t_1)));
} else {
tmp = (Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (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((1.0 + z)) tmp = 0 if y <= 2.2e-68: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + ((t_1 - math.sqrt(z)) + ((-0.125 * (y * y)) + 2.0)) elif y <= 190000000.0: tmp = ((1.0 - math.sqrt(x)) - math.sqrt(y)) + (math.sqrt((1.0 + y)) + (1.0 / (math.sqrt(z) + t_1))) else: tmp = (math.sqrt((x + 1.0)) - math.sqrt(x)) + (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 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (y <= 2.2e-68) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_1 - sqrt(z)) + Float64(Float64(-0.125 * Float64(y * y)) + 2.0))); elseif (y <= 190000000.0) tmp = Float64(Float64(Float64(1.0 - sqrt(x)) - sqrt(y)) + Float64(sqrt(Float64(1.0 + y)) + Float64(1.0 / Float64(sqrt(z) + t_1)))); else tmp = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + 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((1.0 + z));
tmp = 0.0;
if (y <= 2.2e-68)
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((t_1 - sqrt(z)) + ((-0.125 * (y * y)) + 2.0));
elseif (y <= 190000000.0)
tmp = ((1.0 - sqrt(x)) - sqrt(y)) + (sqrt((1.0 + y)) + (1.0 / (sqrt(z) + t_1)));
else
tmp = (sqrt((x + 1.0)) - sqrt(x)) + (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[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 2.2e-68], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 190000000.0], N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
\mathbf{if}\;y \leq 2.2 \cdot 10^{-68}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_1 - \sqrt{z}\right) + \left(-0.125 \cdot \left(y \cdot y\right) + 2\right)\right)\\
\mathbf{elif}\;y \leq 190000000:\\
\;\;\;\;\left(\left(1 - \sqrt{x}\right) - \sqrt{y}\right) + \left(\sqrt{1 + y} + \frac{1}{\sqrt{z} + t\_1}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{x + 1} - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{y}}\\
\end{array}
\end{array}
if y < 2.20000000000000002e-68Initial program 96.0%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6463.0%
Simplified63.0%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6454.5%
Simplified54.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6460.8%
Simplified60.8%
if 2.20000000000000002e-68 < y < 1.9e8Initial program 97.8%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6497.8%
Applied egg-rr97.8%
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
sqrt-lowering-sqrt.f64N/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
sqrt-lowering-sqrt.f6425.7%
Simplified25.7%
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
/-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
sqrt-lowering-sqrt.f6423.8%
Simplified23.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/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
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate--r+N/A
--lowering--.f64N/A
Simplified23.9%
if 1.9e8 < y Initial program 87.2%
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.f6418.5%
Simplified18.5%
Taylor expanded in t around inf
associate--l+N/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.f6422.4%
Simplified22.4%
Taylor expanded in y 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
sqrt-lowering-sqrt.f6427.2%
Simplified27.2%
Final simplification38.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z))))
(if (<= y 1.1e-68)
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- t_1 (sqrt z)) (+ (* -0.125 (* y y)) 2.0)))
(if (<= y 190000000.0)
(+
1.0
(-
(+ (sqrt (+ 1.0 y)) (/ 1.0 (+ (sqrt z) t_1)))
(+ (sqrt x) (sqrt y))))
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (* 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((1.0 + z));
double tmp;
if (y <= 1.1e-68) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((t_1 - sqrt(z)) + ((-0.125 * (y * y)) + 2.0));
} else if (y <= 190000000.0) {
tmp = 1.0 + ((sqrt((1.0 + y)) + (1.0 / (sqrt(z) + t_1))) - (sqrt(x) + sqrt(y)));
} else {
tmp = (sqrt((x + 1.0)) - sqrt(x)) + (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) :: tmp
t_1 = sqrt((1.0d0 + z))
if (y <= 1.1d-68) then
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) + ((t_1 - sqrt(z)) + (((-0.125d0) * (y * y)) + 2.0d0))
else if (y <= 190000000.0d0) then
tmp = 1.0d0 + ((sqrt((1.0d0 + y)) + (1.0d0 / (sqrt(z) + t_1))) - (sqrt(x) + sqrt(y)))
else
tmp = (sqrt((x + 1.0d0)) - sqrt(x)) + (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((1.0 + z));
double tmp;
if (y <= 1.1e-68) {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((t_1 - Math.sqrt(z)) + ((-0.125 * (y * y)) + 2.0));
} else if (y <= 190000000.0) {
tmp = 1.0 + ((Math.sqrt((1.0 + y)) + (1.0 / (Math.sqrt(z) + t_1))) - (Math.sqrt(x) + Math.sqrt(y)));
} else {
tmp = (Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (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((1.0 + z)) tmp = 0 if y <= 1.1e-68: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) + ((t_1 - math.sqrt(z)) + ((-0.125 * (y * y)) + 2.0)) elif y <= 190000000.0: tmp = 1.0 + ((math.sqrt((1.0 + y)) + (1.0 / (math.sqrt(z) + t_1))) - (math.sqrt(x) + math.sqrt(y))) else: tmp = (math.sqrt((x + 1.0)) - math.sqrt(x)) + (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 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (y <= 1.1e-68) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_1 - sqrt(z)) + Float64(Float64(-0.125 * Float64(y * y)) + 2.0))); elseif (y <= 190000000.0) tmp = Float64(1.0 + Float64(Float64(sqrt(Float64(1.0 + y)) + Float64(1.0 / Float64(sqrt(z) + t_1))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + 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((1.0 + z));
tmp = 0.0;
if (y <= 1.1e-68)
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((t_1 - sqrt(z)) + ((-0.125 * (y * y)) + 2.0));
elseif (y <= 190000000.0)
tmp = 1.0 + ((sqrt((1.0 + y)) + (1.0 / (sqrt(z) + t_1))) - (sqrt(x) + sqrt(y)));
else
tmp = (sqrt((x + 1.0)) - sqrt(x)) + (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[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 1.1e-68], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 190000000.0], N[(1.0 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
\mathbf{if}\;y \leq 1.1 \cdot 10^{-68}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_1 - \sqrt{z}\right) + \left(-0.125 \cdot \left(y \cdot y\right) + 2\right)\right)\\
\mathbf{elif}\;y \leq 190000000:\\
\;\;\;\;1 + \left(\left(\sqrt{1 + y} + \frac{1}{\sqrt{z} + t\_1}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{x + 1} - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{y}}\\
\end{array}
\end{array}
if y < 1.10000000000000001e-68Initial program 96.0%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6463.0%
Simplified63.0%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6454.5%
Simplified54.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6460.8%
Simplified60.8%
if 1.10000000000000001e-68 < y < 1.9e8Initial program 97.8%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6497.8%
Applied egg-rr97.8%
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
sqrt-lowering-sqrt.f64N/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
sqrt-lowering-sqrt.f6425.7%
Simplified25.7%
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
/-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
sqrt-lowering-sqrt.f6423.8%
Simplified23.8%
if 1.9e8 < y Initial program 87.2%
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.f6418.5%
Simplified18.5%
Taylor expanded in t around inf
associate--l+N/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.f6422.4%
Simplified22.4%
Taylor expanded in y 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
sqrt-lowering-sqrt.f6427.2%
Simplified27.2%
Final simplification38.7%
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 2.4e-13)
(+ 2.0 (- (/ 1.0 (+ (sqrt z) (sqrt (+ 1.0 z)))) (+ (sqrt x) (sqrt y))))
(if (<= y 23000000.0)
(+ (- (- 1.0 (sqrt x)) (sqrt y)) (+ (sqrt (+ 1.0 y)) (* x 0.5)))
(+ (- (sqrt (+ x 1.0)) (sqrt x)) (* 0.5 (sqrt (/ 1.0 y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 2.4e-13) {
tmp = 2.0 + ((1.0 / (sqrt(z) + sqrt((1.0 + z)))) - (sqrt(x) + sqrt(y)));
} else if (y <= 23000000.0) {
tmp = ((1.0 - sqrt(x)) - sqrt(y)) + (sqrt((1.0 + y)) + (x * 0.5));
} else {
tmp = (sqrt((x + 1.0)) - sqrt(x)) + (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) :: tmp
if (y <= 2.4d-13) then
tmp = 2.0d0 + ((1.0d0 / (sqrt(z) + sqrt((1.0d0 + z)))) - (sqrt(x) + sqrt(y)))
else if (y <= 23000000.0d0) then
tmp = ((1.0d0 - sqrt(x)) - sqrt(y)) + (sqrt((1.0d0 + y)) + (x * 0.5d0))
else
tmp = (sqrt((x + 1.0d0)) - sqrt(x)) + (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 tmp;
if (y <= 2.4e-13) {
tmp = 2.0 + ((1.0 / (Math.sqrt(z) + Math.sqrt((1.0 + z)))) - (Math.sqrt(x) + Math.sqrt(y)));
} else if (y <= 23000000.0) {
tmp = ((1.0 - Math.sqrt(x)) - Math.sqrt(y)) + (Math.sqrt((1.0 + y)) + (x * 0.5));
} else {
tmp = (Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (0.5 * Math.sqrt((1.0 / y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if y <= 2.4e-13: tmp = 2.0 + ((1.0 / (math.sqrt(z) + math.sqrt((1.0 + z)))) - (math.sqrt(x) + math.sqrt(y))) elif y <= 23000000.0: tmp = ((1.0 - math.sqrt(x)) - math.sqrt(y)) + (math.sqrt((1.0 + y)) + (x * 0.5)) else: tmp = (math.sqrt((x + 1.0)) - math.sqrt(x)) + (0.5 * math.sqrt((1.0 / y))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 2.4e-13) tmp = Float64(2.0 + Float64(Float64(1.0 / Float64(sqrt(z) + sqrt(Float64(1.0 + z)))) - Float64(sqrt(x) + sqrt(y)))); elseif (y <= 23000000.0) tmp = Float64(Float64(Float64(1.0 - sqrt(x)) - sqrt(y)) + Float64(sqrt(Float64(1.0 + y)) + Float64(x * 0.5))); else tmp = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + 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)
tmp = 0.0;
if (y <= 2.4e-13)
tmp = 2.0 + ((1.0 / (sqrt(z) + sqrt((1.0 + z)))) - (sqrt(x) + sqrt(y)));
elseif (y <= 23000000.0)
tmp = ((1.0 - sqrt(x)) - sqrt(y)) + (sqrt((1.0 + y)) + (x * 0.5));
else
tmp = (sqrt((x + 1.0)) - sqrt(x)) + (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_] := If[LessEqual[y, 2.4e-13], N[(2.0 + N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 23000000.0], N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[(x * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 2.4 \cdot 10^{-13}:\\
\;\;\;\;2 + \left(\frac{1}{\sqrt{z} + \sqrt{1 + z}} - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{elif}\;y \leq 23000000:\\
\;\;\;\;\left(\left(1 - \sqrt{x}\right) - \sqrt{y}\right) + \left(\sqrt{1 + y} + x \cdot 0.5\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{x + 1} - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{y}}\\
\end{array}
\end{array}
if y < 2.3999999999999999e-13Initial program 96.8%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6497.0%
Applied egg-rr97.0%
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
sqrt-lowering-sqrt.f64N/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
sqrt-lowering-sqrt.f6434.0%
Simplified34.0%
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
/-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
sqrt-lowering-sqrt.f6431.4%
Simplified31.4%
Taylor expanded in y around 0
associate--l+N/A
+-lowering-+.f64N/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
sqrt-lowering-sqrt.f6431.5%
Simplified31.5%
if 2.3999999999999999e-13 < y < 2.3e7Initial program 96.2%
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.f6427.5%
Simplified27.5%
Taylor expanded in t around inf
associate--l+N/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.f6413.9%
Simplified13.9%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6413.4%
Simplified13.4%
if 2.3e7 < y Initial program 87.0%
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.f6418.8%
Simplified18.8%
Taylor expanded in t around inf
associate--l+N/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.f6422.3%
Simplified22.3%
Taylor expanded in y 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
sqrt-lowering-sqrt.f6427.5%
Simplified27.5%
Final simplification28.9%
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 4.3e+17) (+ (+ (sqrt (+ 1.0 z)) (* -0.125 (* y y))) (- 2.0 (sqrt z))) (+ (sqrt (+ x 1.0)) (- (sqrt (+ 1.0 y)) (+ (sqrt x) (sqrt y))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 4.3e+17) {
tmp = (sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - sqrt(z));
} else {
tmp = sqrt((x + 1.0)) + (sqrt((1.0 + 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 <= 4.3d+17) then
tmp = (sqrt((1.0d0 + z)) + ((-0.125d0) * (y * y))) + (2.0d0 - sqrt(z))
else
tmp = sqrt((x + 1.0d0)) + (sqrt((1.0d0 + 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 <= 4.3e+17) {
tmp = (Math.sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - Math.sqrt(z));
} else {
tmp = Math.sqrt((x + 1.0)) + (Math.sqrt((1.0 + 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 <= 4.3e+17: tmp = (math.sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - math.sqrt(z)) else: tmp = math.sqrt((x + 1.0)) + (math.sqrt((1.0 + 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 <= 4.3e+17) tmp = Float64(Float64(sqrt(Float64(1.0 + z)) + Float64(-0.125 * Float64(y * y))) + Float64(2.0 - sqrt(z))); else tmp = Float64(sqrt(Float64(x + 1.0)) + Float64(sqrt(Float64(1.0 + 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 <= 4.3e+17)
tmp = (sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - sqrt(z));
else
tmp = sqrt((x + 1.0)) + (sqrt((1.0 + 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, 4.3e+17], N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 + 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 4.3 \cdot 10^{+17}:\\
\;\;\;\;\left(\sqrt{1 + z} + -0.125 \cdot \left(y \cdot y\right)\right) + \left(2 - \sqrt{z}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{x + 1} + \left(\sqrt{1 + y} - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if z < 4.3e17Initial program 97.0%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6430.4%
Simplified30.4%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6424.5%
Simplified24.5%
Taylor expanded in x around 0
--lowering--.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
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6414.8%
Simplified14.8%
Taylor expanded in t 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
unpow2N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6425.6%
Simplified25.6%
if 4.3e17 < z Initial program 86.1%
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.f6465.9%
Simplified65.9%
Taylor expanded in t around inf
associate--l+N/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.f6434.1%
Simplified34.1%
Final simplification29.4%
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 4.3e+17) (+ (+ (sqrt (+ 1.0 z)) (* -0.125 (* y y))) (- 2.0 (sqrt z))) (+ 1.0 (- (- (sqrt (+ 1.0 y)) (sqrt x)) (sqrt y)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 4.3e+17) {
tmp = (sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - sqrt(z));
} else {
tmp = 1.0 + ((sqrt((1.0 + 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 <= 4.3d+17) then
tmp = (sqrt((1.0d0 + z)) + ((-0.125d0) * (y * y))) + (2.0d0 - sqrt(z))
else
tmp = 1.0d0 + ((sqrt((1.0d0 + 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 <= 4.3e+17) {
tmp = (Math.sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - Math.sqrt(z));
} else {
tmp = 1.0 + ((Math.sqrt((1.0 + 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 <= 4.3e+17: tmp = (math.sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - math.sqrt(z)) else: tmp = 1.0 + ((math.sqrt((1.0 + 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 <= 4.3e+17) tmp = Float64(Float64(sqrt(Float64(1.0 + z)) + Float64(-0.125 * Float64(y * y))) + Float64(2.0 - sqrt(z))); else tmp = Float64(1.0 + Float64(Float64(sqrt(Float64(1.0 + 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)
tmp = 0.0;
if (z <= 4.3e+17)
tmp = (sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - sqrt(z));
else
tmp = 1.0 + ((sqrt((1.0 + 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, 4.3e+17], N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 4.3 \cdot 10^{+17}:\\
\;\;\;\;\left(\sqrt{1 + z} + -0.125 \cdot \left(y \cdot y\right)\right) + \left(2 - \sqrt{z}\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(\sqrt{1 + y} - \sqrt{x}\right) - \sqrt{y}\right)\\
\end{array}
\end{array}
if z < 4.3e17Initial program 97.0%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6430.4%
Simplified30.4%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6424.5%
Simplified24.5%
Taylor expanded in x around 0
--lowering--.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
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6414.8%
Simplified14.8%
Taylor expanded in t 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
unpow2N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6425.6%
Simplified25.6%
if 4.3e17 < z Initial program 86.1%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6486.1%
Applied egg-rr86.1%
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
sqrt-lowering-sqrt.f64N/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
sqrt-lowering-sqrt.f6434.5%
Simplified34.5%
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
/-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
sqrt-lowering-sqrt.f6434.0%
Simplified34.0%
Taylor expanded in z around inf
associate--l+N/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.f6433.6%
Simplified33.6%
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 3.3e+32) (+ (+ (sqrt (+ 1.0 z)) (* -0.125 (* y y))) (- 2.0 (sqrt z))) (- (sqrt (+ x 1.0)) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (z <= 3.3e+32) {
tmp = (sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - sqrt(z));
} else {
tmp = sqrt((x + 1.0)) - 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 (z <= 3.3d+32) then
tmp = (sqrt((1.0d0 + z)) + ((-0.125d0) * (y * y))) + (2.0d0 - sqrt(z))
else
tmp = sqrt((x + 1.0d0)) - 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 (z <= 3.3e+32) {
tmp = (Math.sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - Math.sqrt(z));
} else {
tmp = Math.sqrt((x + 1.0)) - Math.sqrt(x);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if z <= 3.3e+32: tmp = (math.sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - math.sqrt(z)) else: tmp = math.sqrt((x + 1.0)) - math.sqrt(x) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (z <= 3.3e+32) tmp = Float64(Float64(sqrt(Float64(1.0 + z)) + Float64(-0.125 * Float64(y * y))) + Float64(2.0 - sqrt(z))); else tmp = Float64(sqrt(Float64(x + 1.0)) - 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 (z <= 3.3e+32)
tmp = (sqrt((1.0 + z)) + (-0.125 * (y * y))) + (2.0 - sqrt(z));
else
tmp = sqrt((x + 1.0)) - 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[z, 3.3e+32], N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.0 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;z \leq 3.3 \cdot 10^{+32}:\\
\;\;\;\;\left(\sqrt{1 + z} + -0.125 \cdot \left(y \cdot y\right)\right) + \left(2 - \sqrt{z}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{x + 1} - \sqrt{x}\\
\end{array}
\end{array}
if z < 3.3000000000000002e32Initial program 96.1%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6430.7%
Simplified30.7%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6425.1%
Simplified25.1%
Taylor expanded in x around 0
--lowering--.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
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6414.6%
Simplified14.6%
Taylor expanded in t 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
unpow2N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6426.1%
Simplified26.1%
if 3.3000000000000002e32 < z Initial program 86.5%
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.f6466.0%
Simplified66.0%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6434.2%
Simplified34.2%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6424.4%
Simplified24.4%
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 (- (sqrt (+ x 1.0)) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt((x + 1.0)) - sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt((x + 1.0d0)) - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt((x + 1.0)) - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt((x + 1.0)) - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt((x + 1.0)) - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{x + 1} - \sqrt{x}
\end{array}
Initial program 92.2%
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.f6438.3%
Simplified38.3%
Taylor expanded in t around inf
associate--l+N/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.f6422.1%
Simplified22.1%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6416.6%
Simplified16.6%
Final simplification16.6%
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 z))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 * sqrt((1.0 / 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((1.0d0 / 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((1.0 / z));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 * math.sqrt((1.0 / z))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 * sqrt(Float64(1.0 / z))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 * sqrt((1.0 / 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[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
0.5 \cdot \sqrt{\frac{1}{z}}
\end{array}
Initial program 92.2%
Taylor expanded in z around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6445.3%
Simplified45.3%
Taylor expanded in z around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f648.1%
Simplified8.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- 1.0 (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 - sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 - \sqrt{x}
\end{array}
Initial program 92.2%
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
pow1/2N/A
+-commutativeN/A
pow-lowering-pow.f64N/A
+-commutativeN/A
+-lowering-+.f6492.3%
Applied egg-rr92.3%
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
sqrt-lowering-sqrt.f64N/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
sqrt-lowering-sqrt.f6428.7%
Simplified28.7%
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
/-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
sqrt-lowering-sqrt.f6430.5%
Simplified30.5%
Taylor expanded in x around inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6415.2%
Simplified15.2%
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 (sqrt x))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return sqrt(x) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[Sqrt[x], $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{x}
\end{array}
Initial program 92.2%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6431.8%
Simplified31.8%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6426.5%
Simplified26.5%
Taylor expanded in x around inf
sqrt-lowering-sqrt.f646.8%
Simplified6.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (* -0.125 (* y y)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -0.125 * (y * 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 = (-0.125d0) * (y * y)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -0.125 * (y * y);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -0.125 * (y * y)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(-0.125 * Float64(y * y)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -0.125 * (y * y);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(-0.125 * N[(y * y), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
-0.125 \cdot \left(y \cdot y\right)
\end{array}
Initial program 92.2%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6431.8%
Simplified31.8%
Taylor expanded in y around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f641.7%
Simplified1.7%
(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 2024138
(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))))