
(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)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (- t_3 (sqrt t)))
(t_5 (- (- (sqrt (+ 1.0 y)) (sqrt y)) (- (sqrt x) (sqrt (+ x 1.0)))))
(t_6 (+ t_2 t_5)))
(if (<= t_6 0.0)
(+ t_4 (+ t_2 (* 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 x))))))
(if (<= t_6 2.005)
(+ t_4 (+ t_5 (* 0.5 (sqrt (/ 1.0 z)))))
(+
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_3))
(+ 2.0 (- t_1 (+ (sqrt x) (+ (sqrt z) (sqrt y))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((1.0 + t));
double t_4 = t_3 - sqrt(t);
double t_5 = (sqrt((1.0 + y)) - sqrt(y)) - (sqrt(x) - sqrt((x + 1.0)));
double t_6 = t_2 + t_5;
double tmp;
if (t_6 <= 0.0) {
tmp = t_4 + (t_2 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
} else if (t_6 <= 2.005) {
tmp = t_4 + (t_5 + (0.5 * sqrt((1.0 / z))));
} else {
tmp = (((1.0 + t) - t) / (sqrt(t) + t_3)) + (2.0 + (t_1 - (sqrt(x) + (sqrt(z) + sqrt(y)))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = t_1 - sqrt(z)
t_3 = sqrt((1.0d0 + t))
t_4 = t_3 - sqrt(t)
t_5 = (sqrt((1.0d0 + y)) - sqrt(y)) - (sqrt(x) - sqrt((x + 1.0d0)))
t_6 = t_2 + t_5
if (t_6 <= 0.0d0) then
tmp = t_4 + (t_2 + (0.5d0 * (sqrt((1.0d0 / y)) + sqrt((1.0d0 / x)))))
else if (t_6 <= 2.005d0) then
tmp = t_4 + (t_5 + (0.5d0 * sqrt((1.0d0 / z))))
else
tmp = (((1.0d0 + t) - t) / (sqrt(t) + t_3)) + (2.0d0 + (t_1 - (sqrt(x) + (sqrt(z) + sqrt(y)))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = t_1 - Math.sqrt(z);
double t_3 = Math.sqrt((1.0 + t));
double t_4 = t_3 - Math.sqrt(t);
double t_5 = (Math.sqrt((1.0 + y)) - Math.sqrt(y)) - (Math.sqrt(x) - Math.sqrt((x + 1.0)));
double t_6 = t_2 + t_5;
double tmp;
if (t_6 <= 0.0) {
tmp = t_4 + (t_2 + (0.5 * (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / x)))));
} else if (t_6 <= 2.005) {
tmp = t_4 + (t_5 + (0.5 * Math.sqrt((1.0 / z))));
} else {
tmp = (((1.0 + t) - t) / (Math.sqrt(t) + t_3)) + (2.0 + (t_1 - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y)))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = t_1 - math.sqrt(z) t_3 = math.sqrt((1.0 + t)) t_4 = t_3 - math.sqrt(t) t_5 = (math.sqrt((1.0 + y)) - math.sqrt(y)) - (math.sqrt(x) - math.sqrt((x + 1.0))) t_6 = t_2 + t_5 tmp = 0 if t_6 <= 0.0: tmp = t_4 + (t_2 + (0.5 * (math.sqrt((1.0 / y)) + math.sqrt((1.0 / x))))) elif t_6 <= 2.005: tmp = t_4 + (t_5 + (0.5 * math.sqrt((1.0 / z)))) else: tmp = (((1.0 + t) - t) / (math.sqrt(t) + t_3)) + (2.0 + (t_1 - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y))))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(1.0 + t)) t_4 = Float64(t_3 - sqrt(t)) t_5 = Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - Float64(sqrt(x) - sqrt(Float64(x + 1.0)))) t_6 = Float64(t_2 + t_5) tmp = 0.0 if (t_6 <= 0.0) tmp = Float64(t_4 + Float64(t_2 + Float64(0.5 * Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / x)))))); elseif (t_6 <= 2.005) tmp = Float64(t_4 + Float64(t_5 + Float64(0.5 * sqrt(Float64(1.0 / z))))); else tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_3)) + Float64(2.0 + Float64(t_1 - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y)))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
t_2 = t_1 - sqrt(z);
t_3 = sqrt((1.0 + t));
t_4 = t_3 - sqrt(t);
t_5 = (sqrt((1.0 + y)) - sqrt(y)) - (sqrt(x) - sqrt((x + 1.0)));
t_6 = t_2 + t_5;
tmp = 0.0;
if (t_6 <= 0.0)
tmp = t_4 + (t_2 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
elseif (t_6 <= 2.005)
tmp = t_4 + (t_5 + (0.5 * sqrt((1.0 / z))));
else
tmp = (((1.0 + t) - t) / (sqrt(t) + t_3)) + (2.0 + (t_1 - (sqrt(x) + (sqrt(z) + sqrt(y)))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 0.0], N[(t$95$4 + N[(t$95$2 + N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.005], N[(t$95$4 + N[(t$95$5 + N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(2.0 + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $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}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{1 + t}\\
t_4 := t\_3 - \sqrt{t}\\
t_5 := \left(\sqrt{1 + y} - \sqrt{y}\right) - \left(\sqrt{x} - \sqrt{x + 1}\right)\\
t_6 := t\_2 + t\_5\\
\mathbf{if}\;t\_6 \leq 0:\\
\;\;\;\;t\_4 + \left(t\_2 + 0.5 \cdot \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}}\right)\right)\\
\mathbf{elif}\;t\_6 \leq 2.005:\\
\;\;\;\;t\_4 + \left(t\_5 + 0.5 \cdot \sqrt{\frac{1}{z}}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{\sqrt{t} + t\_3} + \left(2 + \left(t\_1 - \left(\sqrt{x} + \left(\sqrt{z} + \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))) < 0.0Initial program 61.9%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6473.1
Applied rewrites73.1%
Taylor expanded in x around inf
Applied rewrites76.7%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0049999999999999Initial program 97.3%
Taylor expanded in z around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6453.8
Applied rewrites53.8%
if 2.0049999999999999 < (+.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 99.6%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6493.1
Applied rewrites93.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6493.1
lift-+.f64N/A
+-commutativeN/A
lower-+.f6493.1
Applied rewrites93.1%
Taylor expanded in x around 0
Applied rewrites88.4%
Final simplification60.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 z))))
(if (<= (- t_2 (sqrt x)) 0.004)
(+
(+
(fma
0.5
(sqrt (/ 1.0 y))
(/
(fma
-0.125
(sqrt (/ 1.0 x))
(fma
(sqrt (/ 1.0 (pow x 5.0)))
-0.0390625
(fma 0.0625 (sqrt (/ 1.0 (* x (* x x)))) (* (sqrt x) 0.5))))
x))
(- t_3 (sqrt z)))
t_1)
(+
t_1
(+
(- (- (sqrt (+ 1.0 y)) (sqrt y)) (- (sqrt x) t_2))
(/ (- (+ 1.0 z) z) (+ (sqrt z) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + z));
double tmp;
if ((t_2 - sqrt(x)) <= 0.004) {
tmp = (fma(0.5, sqrt((1.0 / y)), (fma(-0.125, sqrt((1.0 / x)), fma(sqrt((1.0 / pow(x, 5.0))), -0.0390625, fma(0.0625, sqrt((1.0 / (x * (x * x)))), (sqrt(x) * 0.5)))) / x)) + (t_3 - sqrt(z))) + t_1;
} else {
tmp = t_1 + (((sqrt((1.0 + y)) - sqrt(y)) - (sqrt(x) - t_2)) + (((1.0 + z) - z) / (sqrt(z) + t_3)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.004) tmp = Float64(Float64(fma(0.5, sqrt(Float64(1.0 / y)), Float64(fma(-0.125, sqrt(Float64(1.0 / x)), fma(sqrt(Float64(1.0 / (x ^ 5.0))), -0.0390625, fma(0.0625, sqrt(Float64(1.0 / Float64(x * Float64(x * x)))), Float64(sqrt(x) * 0.5)))) / x)) + Float64(t_3 - sqrt(z))) + t_1); else tmp = Float64(t_1 + Float64(Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - Float64(sqrt(x) - t_2)) + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_3)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.004], N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(N[(-0.125 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * -0.0390625 + N[(0.0625 * N[Sqrt[N[(1.0 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(t$95$1 + N[(N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + z}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.004:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{\mathsf{fma}\left(-0.125, \sqrt{\frac{1}{x}}, \mathsf{fma}\left(\sqrt{\frac{1}{{x}^{5}}}, -0.0390625, \mathsf{fma}\left(0.0625, \sqrt{\frac{1}{x \cdot \left(x \cdot x\right)}}, \sqrt{x} \cdot 0.5\right)\right)\right)}{x}\right) + \left(t\_3 - \sqrt{z}\right)\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\left(\left(\sqrt{1 + y} - \sqrt{y}\right) - \left(\sqrt{x} - t\_2\right)\right) + \frac{\left(1 + z\right) - z}{\sqrt{z} + t\_3}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.0040000000000000001Initial program 90.3%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6442.7
Applied rewrites42.7%
Taylor expanded in x around inf
Applied rewrites43.7%
if 0.0040000000000000001 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 98.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.6
Applied rewrites98.6%
Final simplification74.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 z)))
(t_5
(+ t_2 (+ (- t_4 (sqrt z)) (- (- t_1 (sqrt y)) (- (sqrt x) t_3)))))
(t_6 (+ (sqrt z) t_4)))
(if (<= t_5 1.005)
(+ t_3 (- (fma 0.5 (sqrt (/ 1.0 y)) (/ 1.0 t_6)) (sqrt x)))
(if (<= t_5 3.0000005)
(fma -1.0 (/ -1.0 t_6) (+ t_1 (- (- 1.0 (sqrt x)) (sqrt y))))
(+ t_2 (- (+ t_4 2.0) (+ (sqrt x) (+ (sqrt z) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + z));
double t_5 = t_2 + ((t_4 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_3)));
double t_6 = sqrt(z) + t_4;
double tmp;
if (t_5 <= 1.005) {
tmp = t_3 + (fma(0.5, sqrt((1.0 / y)), (1.0 / t_6)) - sqrt(x));
} else if (t_5 <= 3.0000005) {
tmp = fma(-1.0, (-1.0 / t_6), (t_1 + ((1.0 - sqrt(x)) - sqrt(y))));
} else {
tmp = t_2 + ((t_4 + 2.0) - (sqrt(x) + (sqrt(z) + sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + z)) t_5 = Float64(t_2 + Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) - Float64(sqrt(x) - t_3)))) t_6 = Float64(sqrt(z) + t_4) tmp = 0.0 if (t_5 <= 1.005) tmp = Float64(t_3 + Float64(fma(0.5, sqrt(Float64(1.0 / y)), Float64(1.0 / t_6)) - sqrt(x))); elseif (t_5 <= 3.0000005) tmp = fma(-1.0, Float64(-1.0 / t_6), Float64(t_1 + Float64(Float64(1.0 - sqrt(x)) - sqrt(y)))); else tmp = Float64(t_2 + Float64(Float64(t_4 + 2.0) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$2 + N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[z], $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$5, 1.005], N[(t$95$3 + N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[(1.0 / t$95$6), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 3.0000005], N[(-1.0 * N[(-1.0 / t$95$6), $MachinePrecision] + N[(t$95$1 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(t$95$4 + 2.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + z}\\
t_5 := t\_2 + \left(\left(t\_4 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) - \left(\sqrt{x} - t\_3\right)\right)\right)\\
t_6 := \sqrt{z} + t\_4\\
\mathbf{if}\;t\_5 \leq 1.005:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, \frac{1}{t\_6}\right) - \sqrt{x}\right)\\
\mathbf{elif}\;t\_5 \leq 3.0000005:\\
\;\;\;\;\mathsf{fma}\left(-1, \frac{-1}{t\_6}, t\_1 + \left(\left(1 - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(t\_4 + 2\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.0049999999999999Initial program 86.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6486.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6486.0
Applied rewrites86.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites4.6%
Taylor expanded in y around inf
Applied rewrites29.9%
if 1.0049999999999999 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.00000050000000007Initial program 97.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.3
Applied rewrites98.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
Applied rewrites25.2%
Applied rewrites39.0%
Taylor expanded in x around 0
Applied rewrites26.4%
if 3.00000050000000007 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.1%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6490.8
Applied rewrites90.8%
Taylor expanded in x around 0
Applied rewrites84.8%
Final simplification32.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 z)))
(t_5
(+ t_2 (+ (- t_4 (sqrt z)) (- (- t_1 (sqrt y)) (- (sqrt x) t_3))))))
(if (<= t_5 1.0)
(+ (- t_3 (sqrt x)) (* 0.5 (sqrt (/ 1.0 t))))
(if (<= t_5 3.0000005)
(fma
-1.0
(/ -1.0 (+ (sqrt z) t_4))
(+ t_1 (- (- 1.0 (sqrt x)) (sqrt y))))
(+ t_2 (- (+ t_4 2.0) (+ (sqrt x) (+ (sqrt z) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + z));
double t_5 = t_2 + ((t_4 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_3)));
double tmp;
if (t_5 <= 1.0) {
tmp = (t_3 - sqrt(x)) + (0.5 * sqrt((1.0 / t)));
} else if (t_5 <= 3.0000005) {
tmp = fma(-1.0, (-1.0 / (sqrt(z) + t_4)), (t_1 + ((1.0 - sqrt(x)) - sqrt(y))));
} else {
tmp = t_2 + ((t_4 + 2.0) - (sqrt(x) + (sqrt(z) + sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + z)) t_5 = Float64(t_2 + Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) - Float64(sqrt(x) - t_3)))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(t_3 - sqrt(x)) + Float64(0.5 * sqrt(Float64(1.0 / t)))); elseif (t_5 <= 3.0000005) tmp = fma(-1.0, Float64(-1.0 / Float64(sqrt(z) + t_4)), Float64(t_1 + Float64(Float64(1.0 - sqrt(x)) - sqrt(y)))); else tmp = Float64(t_2 + Float64(Float64(t_4 + 2.0) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$2 + N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 3.0000005], N[(-1.0 * N[(-1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(t$95$4 + 2.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + z}\\
t_5 := t\_2 + \left(\left(t\_4 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) - \left(\sqrt{x} - t\_3\right)\right)\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(t\_3 - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{t}}\\
\mathbf{elif}\;t\_5 \leq 3.0000005:\\
\;\;\;\;\mathsf{fma}\left(-1, \frac{-1}{\sqrt{z} + t\_4}, t\_1 + \left(\left(1 - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(t\_4 + 2\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 86.6%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites29.4%
Taylor expanded in t around 0
Applied rewrites38.7%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.00000050000000007Initial program 97.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.9
Applied rewrites97.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
Applied rewrites24.9%
Applied rewrites39.0%
Taylor expanded in x around 0
Applied rewrites26.1%
if 3.00000050000000007 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.1%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6490.8
Applied rewrites90.8%
Taylor expanded in x around 0
Applied rewrites84.8%
Final simplification34.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 z)))
(t_5
(+ t_2 (+ (- t_4 (sqrt z)) (- (- t_1 (sqrt y)) (- (sqrt x) t_3))))))
(if (<= t_5 1.0)
(+ (- t_3 (sqrt x)) (* 0.5 (sqrt (/ 1.0 t))))
(if (<= t_5 3.0000005)
(- (+ 1.0 (+ t_1 (/ 1.0 (+ (sqrt z) t_4)))) (sqrt y))
(+ t_2 (- (+ t_4 2.0) (+ (sqrt x) (+ (sqrt z) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + z));
double t_5 = t_2 + ((t_4 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_3)));
double tmp;
if (t_5 <= 1.0) {
tmp = (t_3 - sqrt(x)) + (0.5 * sqrt((1.0 / t)));
} else if (t_5 <= 3.0000005) {
tmp = (1.0 + (t_1 + (1.0 / (sqrt(z) + t_4)))) - sqrt(y);
} else {
tmp = t_2 + ((t_4 + 2.0) - (sqrt(x) + (sqrt(z) + sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
t_3 = sqrt((x + 1.0d0))
t_4 = sqrt((1.0d0 + z))
t_5 = t_2 + ((t_4 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_3)))
if (t_5 <= 1.0d0) then
tmp = (t_3 - sqrt(x)) + (0.5d0 * sqrt((1.0d0 / t)))
else if (t_5 <= 3.0000005d0) then
tmp = (1.0d0 + (t_1 + (1.0d0 / (sqrt(z) + t_4)))) - sqrt(y)
else
tmp = t_2 + ((t_4 + 2.0d0) - (sqrt(x) + (sqrt(z) + sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_3 = Math.sqrt((x + 1.0));
double t_4 = Math.sqrt((1.0 + z));
double t_5 = t_2 + ((t_4 - Math.sqrt(z)) + ((t_1 - Math.sqrt(y)) - (Math.sqrt(x) - t_3)));
double tmp;
if (t_5 <= 1.0) {
tmp = (t_3 - Math.sqrt(x)) + (0.5 * Math.sqrt((1.0 / t)));
} else if (t_5 <= 3.0000005) {
tmp = (1.0 + (t_1 + (1.0 / (Math.sqrt(z) + t_4)))) - Math.sqrt(y);
} else {
tmp = t_2 + ((t_4 + 2.0) - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((1.0 + t)) - math.sqrt(t) t_3 = math.sqrt((x + 1.0)) t_4 = math.sqrt((1.0 + z)) t_5 = t_2 + ((t_4 - math.sqrt(z)) + ((t_1 - math.sqrt(y)) - (math.sqrt(x) - t_3))) tmp = 0 if t_5 <= 1.0: tmp = (t_3 - math.sqrt(x)) + (0.5 * math.sqrt((1.0 / t))) elif t_5 <= 3.0000005: tmp = (1.0 + (t_1 + (1.0 / (math.sqrt(z) + t_4)))) - math.sqrt(y) else: tmp = t_2 + ((t_4 + 2.0) - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + z)) t_5 = Float64(t_2 + Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) - Float64(sqrt(x) - t_3)))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(t_3 - sqrt(x)) + Float64(0.5 * sqrt(Float64(1.0 / t)))); elseif (t_5 <= 3.0000005) tmp = Float64(Float64(1.0 + Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_4)))) - sqrt(y)); else tmp = Float64(t_2 + Float64(Float64(t_4 + 2.0) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((1.0 + t)) - sqrt(t);
t_3 = sqrt((x + 1.0));
t_4 = sqrt((1.0 + z));
t_5 = t_2 + ((t_4 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_3)));
tmp = 0.0;
if (t_5 <= 1.0)
tmp = (t_3 - sqrt(x)) + (0.5 * sqrt((1.0 / t)));
elseif (t_5 <= 3.0000005)
tmp = (1.0 + (t_1 + (1.0 / (sqrt(z) + t_4)))) - sqrt(y);
else
tmp = t_2 + ((t_4 + 2.0) - (sqrt(x) + (sqrt(z) + sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$2 + N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 3.0000005], N[(N[(1.0 + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(t$95$4 + 2.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + z}\\
t_5 := t\_2 + \left(\left(t\_4 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) - \left(\sqrt{x} - t\_3\right)\right)\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(t\_3 - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{t}}\\
\mathbf{elif}\;t\_5 \leq 3.0000005:\\
\;\;\;\;\left(1 + \left(t\_1 + \frac{1}{\sqrt{z} + t\_4}\right)\right) - \sqrt{y}\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(t\_4 + 2\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 86.6%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites29.4%
Taylor expanded in t around 0
Applied rewrites38.7%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.00000050000000007Initial program 97.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6497.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6497.9
Applied rewrites97.9%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
Applied rewrites24.9%
Taylor expanded in y around inf
Applied rewrites23.8%
Taylor expanded in x around 0
Applied rewrites43.6%
if 3.00000050000000007 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.1%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6490.8
Applied rewrites90.8%
Taylor expanded in x around 0
Applied rewrites84.8%
Final simplification46.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 z)))
(t_4
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- t_3 (sqrt z)) (- (- t_1 (sqrt y)) (- (sqrt x) t_2))))))
(if (<= t_4 0.9999999999999899)
(+ (- t_2 (sqrt x)) (* 0.5 (sqrt (/ 1.0 t))))
(if (<= t_4 1.9999999999979958)
(+ 1.0 (- (- t_1 (sqrt x)) (sqrt y)))
(+ 2.0 (- t_3 (+ (sqrt x) (+ (sqrt z) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + z));
double t_4 = (sqrt((1.0 + t)) - sqrt(t)) + ((t_3 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_2)));
double tmp;
if (t_4 <= 0.9999999999999899) {
tmp = (t_2 - sqrt(x)) + (0.5 * sqrt((1.0 / t)));
} else if (t_4 <= 1.9999999999979958) {
tmp = 1.0 + ((t_1 - sqrt(x)) - sqrt(y));
} else {
tmp = 2.0 + (t_3 - (sqrt(x) + (sqrt(z) + sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((1.0d0 + z))
t_4 = (sqrt((1.0d0 + t)) - sqrt(t)) + ((t_3 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_2)))
if (t_4 <= 0.9999999999999899d0) then
tmp = (t_2 - sqrt(x)) + (0.5d0 * sqrt((1.0d0 / t)))
else if (t_4 <= 1.9999999999979958d0) then
tmp = 1.0d0 + ((t_1 - sqrt(x)) - sqrt(y))
else
tmp = 2.0d0 + (t_3 - (sqrt(x) + (sqrt(z) + sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((1.0 + z));
double t_4 = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((t_3 - Math.sqrt(z)) + ((t_1 - Math.sqrt(y)) - (Math.sqrt(x) - t_2)));
double tmp;
if (t_4 <= 0.9999999999999899) {
tmp = (t_2 - Math.sqrt(x)) + (0.5 * Math.sqrt((1.0 / t)));
} else if (t_4 <= 1.9999999999979958) {
tmp = 1.0 + ((t_1 - Math.sqrt(x)) - Math.sqrt(y));
} else {
tmp = 2.0 + (t_3 - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((1.0 + z)) t_4 = (math.sqrt((1.0 + t)) - math.sqrt(t)) + ((t_3 - math.sqrt(z)) + ((t_1 - math.sqrt(y)) - (math.sqrt(x) - t_2))) tmp = 0 if t_4 <= 0.9999999999999899: tmp = (t_2 - math.sqrt(x)) + (0.5 * math.sqrt((1.0 / t))) elif t_4 <= 1.9999999999979958: tmp = 1.0 + ((t_1 - math.sqrt(x)) - math.sqrt(y)) else: tmp = 2.0 + (t_3 - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) - Float64(sqrt(x) - t_2)))) tmp = 0.0 if (t_4 <= 0.9999999999999899) tmp = Float64(Float64(t_2 - sqrt(x)) + Float64(0.5 * sqrt(Float64(1.0 / t)))); elseif (t_4 <= 1.9999999999979958) tmp = Float64(1.0 + Float64(Float64(t_1 - sqrt(x)) - sqrt(y))); else tmp = Float64(2.0 + Float64(t_3 - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((x + 1.0));
t_3 = sqrt((1.0 + z));
t_4 = (sqrt((1.0 + t)) - sqrt(t)) + ((t_3 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_2)));
tmp = 0.0;
if (t_4 <= 0.9999999999999899)
tmp = (t_2 - sqrt(x)) + (0.5 * sqrt((1.0 / t)));
elseif (t_4 <= 1.9999999999979958)
tmp = 1.0 + ((t_1 - sqrt(x)) - sqrt(y));
else
tmp = 2.0 + (t_3 - (sqrt(x) + (sqrt(z) + sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.9999999999999899], N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.9999999999979958], N[(1.0 + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(t$95$3 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + z}\\
t_4 := \left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_3 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) - \left(\sqrt{x} - t\_2\right)\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.9999999999999899:\\
\;\;\;\;\left(t\_2 - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{t}}\\
\mathbf{elif}\;t\_4 \leq 1.9999999999979958:\\
\;\;\;\;1 + \left(\left(t\_1 - \sqrt{x}\right) - \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(t\_3 - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.999999999999989897Initial program 47.9%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites25.4%
Taylor expanded in t around 0
Applied rewrites56.6%
if 0.999999999999989897 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.9999999999979958Initial program 98.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.3
Applied rewrites6.3%
Taylor expanded in x around 0
Applied rewrites45.6%
Taylor expanded in z around inf
Applied rewrites33.6%
if 1.9999999999979958 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.0
Applied rewrites22.0%
Taylor expanded in x around 0
Applied rewrites21.4%
Taylor expanded in x around inf
Applied rewrites1.7%
Taylor expanded in y around 0
Applied rewrites25.7%
Final simplification29.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (+ (- t_3 (sqrt z)) (- (- t_1 (sqrt y)) (- (sqrt x) t_2))))
(t_5 (+ (sqrt x) (sqrt y))))
(if (<= t_4 0.9999999999999899)
(+ (- t_2 (sqrt x)) (* 0.5 (sqrt (/ 1.0 t))))
(if (<= t_4 2.005)
(+ 1.0 (- (fma 0.5 (sqrt (/ 1.0 z)) t_1) t_5))
(+ 2.0 (- (fma y 0.5 t_3) (+ (sqrt z) t_5)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + z));
double t_4 = (t_3 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_2));
double t_5 = sqrt(x) + sqrt(y);
double tmp;
if (t_4 <= 0.9999999999999899) {
tmp = (t_2 - sqrt(x)) + (0.5 * sqrt((1.0 / t)));
} else if (t_4 <= 2.005) {
tmp = 1.0 + (fma(0.5, sqrt((1.0 / z)), t_1) - t_5);
} else {
tmp = 2.0 + (fma(y, 0.5, t_3) - (sqrt(z) + t_5));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) - Float64(sqrt(x) - t_2))) t_5 = Float64(sqrt(x) + sqrt(y)) tmp = 0.0 if (t_4 <= 0.9999999999999899) tmp = Float64(Float64(t_2 - sqrt(x)) + Float64(0.5 * sqrt(Float64(1.0 / t)))); elseif (t_4 <= 2.005) tmp = Float64(1.0 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_1) - t_5)); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_3) - Float64(sqrt(z) + t_5))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.9999999999999899], N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.005], N[(1.0 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - t$95$5), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$3), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + z}\\
t_4 := \left(t\_3 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) - \left(\sqrt{x} - t\_2\right)\right)\\
t_5 := \sqrt{x} + \sqrt{y}\\
\mathbf{if}\;t\_4 \leq 0.9999999999999899:\\
\;\;\;\;\left(t\_2 - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{t}}\\
\mathbf{elif}\;t\_4 \leq 2.005:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_1\right) - t\_5\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_3\right) - \left(\sqrt{z} + t\_5\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))) < 0.999999999999989897Initial program 71.7%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites15.8%
Taylor expanded in t around 0
Applied rewrites32.3%
if 0.999999999999989897 < (+.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))) < 2.0049999999999999Initial program 97.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6410.9
Applied rewrites10.9%
Taylor expanded in x around 0
Applied rewrites22.7%
Taylor expanded in z around inf
Applied rewrites23.1%
if 2.0049999999999999 < (+.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 99.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6455.7
Applied rewrites55.7%
Taylor expanded in x around 0
Applied rewrites52.4%
Taylor expanded in y around 0
Applied rewrites49.2%
Final simplification28.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (- t_1 (sqrt z)) (- (- t_2 (sqrt y)) (- (sqrt x) t_3)))))
(if (<= t_4 0.9999999999999899)
(+ (- t_3 (sqrt x)) (* 0.5 (sqrt (/ 1.0 t))))
(if (<= t_4 1.9999999999979958)
(+ 1.0 (- (- t_2 (sqrt x)) (sqrt y)))
(+ 2.0 (- (fma y 0.5 t_1) (+ (sqrt z) (+ (sqrt x) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((x + 1.0));
double t_4 = (t_1 - sqrt(z)) + ((t_2 - sqrt(y)) - (sqrt(x) - t_3));
double tmp;
if (t_4 <= 0.9999999999999899) {
tmp = (t_3 - sqrt(x)) + (0.5 * sqrt((1.0 / t)));
} else if (t_4 <= 1.9999999999979958) {
tmp = 1.0 + ((t_2 - sqrt(x)) - sqrt(y));
} else {
tmp = 2.0 + (fma(y, 0.5, t_1) - (sqrt(z) + (sqrt(x) + sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(t_1 - sqrt(z)) + Float64(Float64(t_2 - sqrt(y)) - Float64(sqrt(x) - t_3))) tmp = 0.0 if (t_4 <= 0.9999999999999899) tmp = Float64(Float64(t_3 - sqrt(x)) + Float64(0.5 * sqrt(Float64(1.0 / t)))); elseif (t_4 <= 1.9999999999979958) tmp = Float64(1.0 + Float64(Float64(t_2 - sqrt(x)) - sqrt(y))); else tmp = Float64(2.0 + Float64(fma(y, 0.5, t_1) - Float64(sqrt(z) + Float64(sqrt(x) + sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.9999999999999899], N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.9999999999979958], N[(1.0 + N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(N[(y * 0.5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(t\_1 - \sqrt{z}\right) + \left(\left(t\_2 - \sqrt{y}\right) - \left(\sqrt{x} - t\_3\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.9999999999999899:\\
\;\;\;\;\left(t\_3 - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{t}}\\
\mathbf{elif}\;t\_4 \leq 1.9999999999979958:\\
\;\;\;\;1 + \left(\left(t\_2 - \sqrt{x}\right) - \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(\mathsf{fma}\left(y, 0.5, t\_1\right) - \left(\sqrt{z} + \left(\sqrt{x} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.999999999999989897Initial program 71.7%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites15.8%
Taylor expanded in t around 0
Applied rewrites32.3%
if 0.999999999999989897 < (+.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))) < 1.9999999999979958Initial program 97.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f647.5
Applied rewrites7.5%
Taylor expanded in x around 0
Applied rewrites29.2%
Taylor expanded in z around inf
Applied rewrites22.9%
if 1.9999999999979958 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6427.4
Applied rewrites27.4%
Taylor expanded in x around 0
Applied rewrites26.5%
Taylor expanded in y around 0
Applied rewrites29.7%
Final simplification27.3%
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 (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ 1.0 t)))
(t_4 (sqrt (+ 1.0 y))))
(if (<= (+ (- t_2 (sqrt z)) (- (- t_4 (sqrt y)) (- (sqrt x) t_1))) 2.0)
(+ (- t_3 (sqrt t)) (- (+ (/ 1.0 (+ (sqrt y) t_4)) t_1) (sqrt x)))
(+
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_3))
(+ 2.0 (- t_2 (+ (sqrt x) (+ (sqrt z) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + t));
double t_4 = sqrt((1.0 + y));
double tmp;
if (((t_2 - sqrt(z)) + ((t_4 - sqrt(y)) - (sqrt(x) - t_1))) <= 2.0) {
tmp = (t_3 - sqrt(t)) + (((1.0 / (sqrt(y) + t_4)) + t_1) - sqrt(x));
} else {
tmp = (((1.0 + t) - t) / (sqrt(t) + t_3)) + (2.0 + (t_2 - (sqrt(x) + (sqrt(z) + sqrt(y)))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((1.0d0 + t))
t_4 = sqrt((1.0d0 + y))
if (((t_2 - sqrt(z)) + ((t_4 - sqrt(y)) - (sqrt(x) - t_1))) <= 2.0d0) then
tmp = (t_3 - sqrt(t)) + (((1.0d0 / (sqrt(y) + t_4)) + t_1) - sqrt(x))
else
tmp = (((1.0d0 + t) - t) / (sqrt(t) + t_3)) + (2.0d0 + (t_2 - (sqrt(x) + (sqrt(z) + sqrt(y)))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((1.0 + t));
double t_4 = Math.sqrt((1.0 + y));
double tmp;
if (((t_2 - Math.sqrt(z)) + ((t_4 - Math.sqrt(y)) - (Math.sqrt(x) - t_1))) <= 2.0) {
tmp = (t_3 - Math.sqrt(t)) + (((1.0 / (Math.sqrt(y) + t_4)) + t_1) - Math.sqrt(x));
} else {
tmp = (((1.0 + t) - t) / (Math.sqrt(t) + t_3)) + (2.0 + (t_2 - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y)))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((1.0 + t)) t_4 = math.sqrt((1.0 + y)) tmp = 0 if ((t_2 - math.sqrt(z)) + ((t_4 - math.sqrt(y)) - (math.sqrt(x) - t_1))) <= 2.0: tmp = (t_3 - math.sqrt(t)) + (((1.0 / (math.sqrt(y) + t_4)) + t_1) - math.sqrt(x)) else: tmp = (((1.0 + t) - t) / (math.sqrt(t) + t_3)) + (2.0 + (t_2 - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y))))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(1.0 + t)) t_4 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) - Float64(sqrt(x) - t_1))) <= 2.0) tmp = Float64(Float64(t_3 - sqrt(t)) + Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_4)) + t_1) - sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_3)) + Float64(2.0 + Float64(t_2 - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y)))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((1.0 + t));
t_4 = sqrt((1.0 + y));
tmp = 0.0;
if (((t_2 - sqrt(z)) + ((t_4 - sqrt(y)) - (sqrt(x) - t_1))) <= 2.0)
tmp = (t_3 - sqrt(t)) + (((1.0 / (sqrt(y) + t_4)) + t_1) - sqrt(x));
else
tmp = (((1.0 + t) - t) / (sqrt(t) + t_3)) + (2.0 + (t_2 - (sqrt(x) + (sqrt(z) + sqrt(y)))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], N[(N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(2.0 + N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $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{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t}\\
t_4 := \sqrt{1 + y}\\
\mathbf{if}\;\left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) - \left(\sqrt{x} - t\_1\right)\right) \leq 2:\\
\;\;\;\;\left(t\_3 - \sqrt{t}\right) + \left(\left(\frac{1}{\sqrt{y} + t\_4} + t\_1\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{\sqrt{t} + t\_3} + \left(2 + \left(t\_2 - \left(\sqrt{x} + \left(\sqrt{z} + \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))) < 2Initial program 94.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6494.6
lift-+.f64N/A
+-commutativeN/A
lower-+.f6494.6
Applied rewrites94.6%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6445.6
Applied rewrites45.6%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.5%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6489.8
Applied rewrites89.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6489.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6489.8
Applied rewrites89.8%
Taylor expanded in x around 0
Applied rewrites81.5%
Final simplification51.5%
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 (+ x 1.0)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (- t_4 (sqrt y))))
(if (<= (+ t_2 (- t_5 (- (sqrt x) t_1))) 1.9965)
(+ t_3 (- (+ (/ 1.0 (+ (sqrt y) t_4)) t_1) (sqrt x)))
(+ t_3 (+ t_2 (+ t_5 (- 1.0 (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double t_5 = t_4 - sqrt(y);
double tmp;
if ((t_2 + (t_5 - (sqrt(x) - t_1))) <= 1.9965) {
tmp = t_3 + (((1.0 / (sqrt(y) + t_4)) + t_1) - sqrt(x));
} else {
tmp = t_3 + (t_2 + (t_5 + (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) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + z)) - sqrt(z)
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + y))
t_5 = t_4 - sqrt(y)
if ((t_2 + (t_5 - (sqrt(x) - t_1))) <= 1.9965d0) then
tmp = t_3 + (((1.0d0 / (sqrt(y) + t_4)) + t_1) - sqrt(x))
else
tmp = t_3 + (t_2 + (t_5 + (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 t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + y));
double t_5 = t_4 - Math.sqrt(y);
double tmp;
if ((t_2 + (t_5 - (Math.sqrt(x) - t_1))) <= 1.9965) {
tmp = t_3 + (((1.0 / (Math.sqrt(y) + t_4)) + t_1) - Math.sqrt(x));
} else {
tmp = t_3 + (t_2 + (t_5 + (1.0 - Math.sqrt(x))));
}
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)) - math.sqrt(z) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + y)) t_5 = t_4 - math.sqrt(y) tmp = 0 if (t_2 + (t_5 - (math.sqrt(x) - t_1))) <= 1.9965: tmp = t_3 + (((1.0 / (math.sqrt(y) + t_4)) + t_1) - math.sqrt(x)) else: tmp = t_3 + (t_2 + (t_5 + (1.0 - math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(t_4 - sqrt(y)) tmp = 0.0 if (Float64(t_2 + Float64(t_5 - Float64(sqrt(x) - t_1))) <= 1.9965) tmp = Float64(t_3 + Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_4)) + t_1) - sqrt(x))); else tmp = Float64(t_3 + Float64(t_2 + Float64(t_5 + Float64(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)
t_1 = sqrt((x + 1.0));
t_2 = sqrt((1.0 + z)) - sqrt(z);
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + y));
t_5 = t_4 - sqrt(y);
tmp = 0.0;
if ((t_2 + (t_5 - (sqrt(x) - t_1))) <= 1.9965)
tmp = t_3 + (((1.0 / (sqrt(y) + t_4)) + t_1) - sqrt(x));
else
tmp = t_3 + (t_2 + (t_5 + (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_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(t$95$5 - N[(N[Sqrt[x], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.9965], N[(t$95$3 + N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$2 + N[(t$95$5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $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} - \sqrt{z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
t_5 := t\_4 - \sqrt{y}\\
\mathbf{if}\;t\_2 + \left(t\_5 - \left(\sqrt{x} - t\_1\right)\right) \leq 1.9965:\\
\;\;\;\;t\_3 + \left(\left(\frac{1}{\sqrt{y} + t\_4} + t\_1\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_2 + \left(t\_5 + \left(1 - \sqrt{x}\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))) < 1.99649999999999994Initial program 91.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6491.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6491.9
Applied rewrites91.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6447.4
Applied rewrites47.4%
if 1.99649999999999994 < (+.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 97.9%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6477.3
Applied rewrites77.3%
Final simplification63.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y))))
(if (<=
(+ (- t_2 (sqrt z)) (- (- t_4 (sqrt y)) (- (sqrt x) t_1)))
1.9999999999979958)
(+ t_3 (- (+ (/ 1.0 (+ (sqrt y) t_4)) t_1) (sqrt x)))
(+ t_3 (+ 1.0 (+ (- t_2 (+ (sqrt x) (+ (sqrt z) (sqrt y)))) t_4))))))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 t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double tmp;
if (((t_2 - sqrt(z)) + ((t_4 - sqrt(y)) - (sqrt(x) - t_1))) <= 1.9999999999979958) {
tmp = t_3 + (((1.0 / (sqrt(y) + t_4)) + t_1) - sqrt(x));
} else {
tmp = t_3 + (1.0 + ((t_2 - (sqrt(x) + (sqrt(z) + sqrt(y)))) + t_4));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + y))
if (((t_2 - sqrt(z)) + ((t_4 - sqrt(y)) - (sqrt(x) - t_1))) <= 1.9999999999979958d0) then
tmp = t_3 + (((1.0d0 / (sqrt(y) + t_4)) + t_1) - sqrt(x))
else
tmp = t_3 + (1.0d0 + ((t_2 - (sqrt(x) + (sqrt(z) + sqrt(y)))) + t_4))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + y));
double tmp;
if (((t_2 - Math.sqrt(z)) + ((t_4 - Math.sqrt(y)) - (Math.sqrt(x) - t_1))) <= 1.9999999999979958) {
tmp = t_3 + (((1.0 / (Math.sqrt(y) + t_4)) + t_1) - Math.sqrt(x));
} else {
tmp = t_3 + (1.0 + ((t_2 - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y)))) + t_4));
}
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)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + y)) tmp = 0 if ((t_2 - math.sqrt(z)) + ((t_4 - math.sqrt(y)) - (math.sqrt(x) - t_1))) <= 1.9999999999979958: tmp = t_3 + (((1.0 / (math.sqrt(y) + t_4)) + t_1) - math.sqrt(x)) else: tmp = t_3 + (1.0 + ((t_2 - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) + t_4)) 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)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) - Float64(sqrt(x) - t_1))) <= 1.9999999999979958) tmp = Float64(t_3 + Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_4)) + t_1) - sqrt(x))); else tmp = Float64(t_3 + Float64(1.0 + Float64(Float64(t_2 - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y)))) + t_4))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + y));
tmp = 0.0;
if (((t_2 - sqrt(z)) + ((t_4 - sqrt(y)) - (sqrt(x) - t_1))) <= 1.9999999999979958)
tmp = t_3 + (((1.0 / (sqrt(y) + t_4)) + t_1) - sqrt(x));
else
tmp = t_3 + (1.0 + ((t_2 - (sqrt(x) + (sqrt(z) + sqrt(y)))) + t_4));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.9999999999979958], N[(t$95$3 + N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(1.0 + N[(N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
\mathbf{if}\;\left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) - \left(\sqrt{x} - t\_1\right)\right) \leq 1.9999999999979958:\\
\;\;\;\;t\_3 + \left(\left(\frac{1}{\sqrt{y} + t\_4} + t\_1\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(1 + \left(\left(t\_2 - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right) + t\_4\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))) < 1.9999999999979958Initial program 91.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6492.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6492.2
Applied rewrites92.2%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6445.5
Applied rewrites45.5%
if 1.9999999999979958 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
associate--l+N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6459.1
Applied rewrites59.1%
Final simplification52.1%
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 y))) (t_2 (sqrt (+ x 1.0))) (t_3 (sqrt (+ 1.0 z))))
(if (<=
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- t_3 (sqrt z)) (- (- t_1 (sqrt y)) (- (sqrt x) t_2))))
1.0)
(+ (- t_2 (sqrt x)) (* 0.5 (sqrt (/ 1.0 t))))
(- (+ 1.0 (+ t_1 (/ 1.0 (+ (sqrt z) t_3)))) (sqrt y)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + z));
double tmp;
if (((sqrt((1.0 + t)) - sqrt(t)) + ((t_3 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_2)))) <= 1.0) {
tmp = (t_2 - sqrt(x)) + (0.5 * sqrt((1.0 / t)));
} else {
tmp = (1.0 + (t_1 + (1.0 / (sqrt(z) + t_3)))) - 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) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((1.0d0 + z))
if (((sqrt((1.0d0 + t)) - sqrt(t)) + ((t_3 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_2)))) <= 1.0d0) then
tmp = (t_2 - sqrt(x)) + (0.5d0 * sqrt((1.0d0 / t)))
else
tmp = (1.0d0 + (t_1 + (1.0d0 / (sqrt(z) + t_3)))) - sqrt(y)
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((1.0 + z));
double tmp;
if (((Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((t_3 - Math.sqrt(z)) + ((t_1 - Math.sqrt(y)) - (Math.sqrt(x) - t_2)))) <= 1.0) {
tmp = (t_2 - Math.sqrt(x)) + (0.5 * Math.sqrt((1.0 / t)));
} else {
tmp = (1.0 + (t_1 + (1.0 / (Math.sqrt(z) + t_3)))) - Math.sqrt(y);
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((1.0 + z)) tmp = 0 if ((math.sqrt((1.0 + t)) - math.sqrt(t)) + ((t_3 - math.sqrt(z)) + ((t_1 - math.sqrt(y)) - (math.sqrt(x) - t_2)))) <= 1.0: tmp = (t_2 - math.sqrt(x)) + (0.5 * math.sqrt((1.0 / t))) else: tmp = (1.0 + (t_1 + (1.0 / (math.sqrt(z) + t_3)))) - math.sqrt(y) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) - Float64(sqrt(x) - t_2)))) <= 1.0) tmp = Float64(Float64(t_2 - sqrt(x)) + Float64(0.5 * sqrt(Float64(1.0 / t)))); else tmp = Float64(Float64(1.0 + Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_3)))) - sqrt(y)); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((x + 1.0));
t_3 = sqrt((1.0 + z));
tmp = 0.0;
if (((sqrt((1.0 + t)) - sqrt(t)) + ((t_3 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - t_2)))) <= 1.0)
tmp = (t_2 - sqrt(x)) + (0.5 * sqrt((1.0 / t)));
else
tmp = (1.0 + (t_1 + (1.0 / (sqrt(z) + t_3)))) - sqrt(y);
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0], N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + z}\\
\mathbf{if}\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_3 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) - \left(\sqrt{x} - t\_2\right)\right)\right) \leq 1:\\
\;\;\;\;\left(t\_2 - \sqrt{x}\right) + 0.5 \cdot \sqrt{\frac{1}{t}}\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(t\_1 + \frac{1}{\sqrt{z} + t\_3}\right)\right) - \sqrt{y}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 86.6%
Taylor expanded in t around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites29.4%
Taylor expanded in t around 0
Applied rewrites38.7%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.0
Applied rewrites98.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
Applied rewrites24.4%
Taylor expanded in y around inf
Applied rewrites23.3%
Taylor expanded in x around 0
Applied rewrites40.9%
Final simplification40.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))) (t_2 (sqrt (+ 1.0 z))))
(if (<=
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+
(- t_2 (sqrt z))
(- (- t_1 (sqrt y)) (- (sqrt x) (sqrt (+ x 1.0))))))
1.9999999999979958)
(+ 1.0 (- (- t_1 (sqrt x)) (sqrt y)))
(+ 2.0 (- t_2 (+ (sqrt x) (+ (sqrt z) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double tmp;
if (((sqrt((1.0 + t)) - sqrt(t)) + ((t_2 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - sqrt((x + 1.0)))))) <= 1.9999999999979958) {
tmp = 1.0 + ((t_1 - sqrt(x)) - sqrt(y));
} else {
tmp = 2.0 + (t_2 - (sqrt(x) + (sqrt(z) + sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((1.0d0 + z))
if (((sqrt((1.0d0 + t)) - sqrt(t)) + ((t_2 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - sqrt((x + 1.0d0)))))) <= 1.9999999999979958d0) then
tmp = 1.0d0 + ((t_1 - sqrt(x)) - sqrt(y))
else
tmp = 2.0d0 + (t_2 - (sqrt(x) + (sqrt(z) + sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((1.0 + z));
double tmp;
if (((Math.sqrt((1.0 + t)) - Math.sqrt(t)) + ((t_2 - Math.sqrt(z)) + ((t_1 - Math.sqrt(y)) - (Math.sqrt(x) - Math.sqrt((x + 1.0)))))) <= 1.9999999999979958) {
tmp = 1.0 + ((t_1 - Math.sqrt(x)) - Math.sqrt(y));
} else {
tmp = 2.0 + (t_2 - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((1.0 + z)) tmp = 0 if ((math.sqrt((1.0 + t)) - math.sqrt(t)) + ((t_2 - math.sqrt(z)) + ((t_1 - math.sqrt(y)) - (math.sqrt(x) - math.sqrt((x + 1.0)))))) <= 1.9999999999979958: tmp = 1.0 + ((t_1 - math.sqrt(x)) - math.sqrt(y)) else: tmp = 2.0 + (t_2 - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) - Float64(sqrt(x) - sqrt(Float64(x + 1.0)))))) <= 1.9999999999979958) tmp = Float64(1.0 + Float64(Float64(t_1 - sqrt(x)) - sqrt(y))); else tmp = Float64(2.0 + Float64(t_2 - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((1.0 + z));
tmp = 0.0;
if (((sqrt((1.0 + t)) - sqrt(t)) + ((t_2 - sqrt(z)) + ((t_1 - sqrt(y)) - (sqrt(x) - sqrt((x + 1.0)))))) <= 1.9999999999979958)
tmp = 1.0 + ((t_1 - sqrt(x)) - sqrt(y));
else
tmp = 2.0 + (t_2 - (sqrt(x) + (sqrt(z) + sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.9999999999979958], N[(1.0 + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 + N[(t$95$2 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
\mathbf{if}\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_2 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) - \left(\sqrt{x} - \sqrt{x + 1}\right)\right)\right) \leq 1.9999999999979958:\\
\;\;\;\;1 + \left(\left(t\_1 - \sqrt{x}\right) - \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;2 + \left(t\_2 - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.9999999999979958Initial program 88.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.9
Applied rewrites5.9%
Taylor expanded in x around 0
Applied rewrites39.6%
Taylor expanded in z around inf
Applied rewrites29.7%
if 1.9999999999979958 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.0
Applied rewrites22.0%
Taylor expanded in x around 0
Applied rewrites21.4%
Taylor expanded in x around inf
Applied rewrites1.7%
Taylor expanded in y around 0
Applied rewrites25.7%
Final simplification27.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- t_2 (sqrt x)) 0.0)
(+ t_3 (+ (- t_1 (sqrt z)) (* 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 x))))))
(+
t_3
(+
(- (- (sqrt (+ 1.0 y)) (sqrt y)) (- (sqrt x) t_2))
(/ (- (+ 1.0 z) z) (+ (sqrt z) t_1)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((t_2 - sqrt(x)) <= 0.0) {
tmp = t_3 + ((t_1 - sqrt(z)) + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
} else {
tmp = t_3 + (((sqrt((1.0 + y)) - sqrt(y)) - (sqrt(x) - t_2)) + (((1.0 + z) - z) / (sqrt(z) + t_1)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + z))
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
if ((t_2 - sqrt(x)) <= 0.0d0) then
tmp = t_3 + ((t_1 - sqrt(z)) + (0.5d0 * (sqrt((1.0d0 / y)) + sqrt((1.0d0 / x)))))
else
tmp = t_3 + (((sqrt((1.0d0 + y)) - sqrt(y)) - (sqrt(x) - t_2)) + (((1.0d0 + z) - z) / (sqrt(z) + t_1)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if ((t_2 - Math.sqrt(x)) <= 0.0) {
tmp = t_3 + ((t_1 - Math.sqrt(z)) + (0.5 * (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / x)))));
} else {
tmp = t_3 + (((Math.sqrt((1.0 + y)) - Math.sqrt(y)) - (Math.sqrt(x) - t_2)) + (((1.0 + z) - z) / (Math.sqrt(z) + t_1)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if (t_2 - math.sqrt(x)) <= 0.0: tmp = t_3 + ((t_1 - math.sqrt(z)) + (0.5 * (math.sqrt((1.0 / y)) + math.sqrt((1.0 / x))))) else: tmp = t_3 + (((math.sqrt((1.0 + y)) - math.sqrt(y)) - (math.sqrt(x) - t_2)) + (((1.0 + z) - z) / (math.sqrt(z) + t_1))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.0) tmp = Float64(t_3 + Float64(Float64(t_1 - sqrt(z)) + Float64(0.5 * Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / x)))))); else tmp = Float64(t_3 + Float64(Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - Float64(sqrt(x) - t_2)) + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_1)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z));
t_2 = sqrt((x + 1.0));
t_3 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if ((t_2 - sqrt(x)) <= 0.0)
tmp = t_3 + ((t_1 - sqrt(z)) + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
else
tmp = t_3 + (((sqrt((1.0 + y)) - sqrt(y)) - (sqrt(x) - t_2)) + (((1.0 + z) - z) / (sqrt(z) + t_1)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.0], N[(t$95$3 + N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0:\\
\;\;\;\;t\_3 + \left(\left(t\_1 - \sqrt{z}\right) + 0.5 \cdot \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(\left(\sqrt{1 + y} - \sqrt{y}\right) - \left(\sqrt{x} - t\_2\right)\right) + \frac{\left(1 + z\right) - z}{\sqrt{z} + t\_1}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.0Initial program 90.5%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.1
Applied rewrites43.1%
Taylor expanded in x around inf
Applied rewrites44.1%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 98.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.3
Applied rewrites98.3%
Final simplification74.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ 1.0 t))))
(if (<= (- t_2 (sqrt x)) 0.0)
(+ (- t_3 (sqrt t)) (+ t_1 (* 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 x))))))
(+
(+ t_1 (- (- (sqrt (+ 1.0 y)) (sqrt y)) (- (sqrt x) t_2)))
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_3))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((1.0 + t));
double tmp;
if ((t_2 - sqrt(x)) <= 0.0) {
tmp = (t_3 - sqrt(t)) + (t_1 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
} else {
tmp = (t_1 + ((sqrt((1.0 + y)) - sqrt(y)) - (sqrt(x) - t_2))) + (((1.0 + t) - t) / (sqrt(t) + t_3));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((1.0d0 + t))
if ((t_2 - sqrt(x)) <= 0.0d0) then
tmp = (t_3 - sqrt(t)) + (t_1 + (0.5d0 * (sqrt((1.0d0 / y)) + sqrt((1.0d0 / x)))))
else
tmp = (t_1 + ((sqrt((1.0d0 + y)) - sqrt(y)) - (sqrt(x) - t_2))) + (((1.0d0 + t) - t) / (sqrt(t) + t_3))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((1.0 + t));
double tmp;
if ((t_2 - Math.sqrt(x)) <= 0.0) {
tmp = (t_3 - Math.sqrt(t)) + (t_1 + (0.5 * (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / x)))));
} else {
tmp = (t_1 + ((Math.sqrt((1.0 + y)) - Math.sqrt(y)) - (Math.sqrt(x) - t_2))) + (((1.0 + t) - t) / (Math.sqrt(t) + t_3));
}
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 = math.sqrt((1.0 + t)) tmp = 0 if (t_2 - math.sqrt(x)) <= 0.0: tmp = (t_3 - math.sqrt(t)) + (t_1 + (0.5 * (math.sqrt((1.0 / y)) + math.sqrt((1.0 / x))))) else: tmp = (t_1 + ((math.sqrt((1.0 + y)) - math.sqrt(y)) - (math.sqrt(x) - t_2))) + (((1.0 + t) - t) / (math.sqrt(t) + t_3)) 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 = sqrt(Float64(1.0 + t)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.0) tmp = Float64(Float64(t_3 - sqrt(t)) + Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / x)))))); else tmp = Float64(Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - Float64(sqrt(x) - t_2))) + Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_3))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = sqrt((1.0 + t));
tmp = 0.0;
if ((t_2 - sqrt(x)) <= 0.0)
tmp = (t_3 - sqrt(t)) + (t_1 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
else
tmp = (t_1 + ((sqrt((1.0 + y)) - sqrt(y)) - (sqrt(x) - t_2))) + (((1.0 + t) - t) / (sqrt(t) + t_3));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(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[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{1 + t}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0:\\
\;\;\;\;\left(t\_3 - \sqrt{t}\right) + \left(t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) - \left(\sqrt{x} - t\_2\right)\right)\right) + \frac{\left(1 + t\right) - t}{\sqrt{t} + t\_3}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.0Initial program 90.5%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.1
Applied rewrites43.1%
Taylor expanded in x around inf
Applied rewrites44.1%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 98.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6498.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.2
Applied rewrites98.2%
Final simplification74.7%
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))) (t_2 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- t_1 (sqrt z)) 0.0)
(+
t_2
(- (+ (/ 1.0 (+ (sqrt y) (sqrt (+ 1.0 y)))) (sqrt (+ x 1.0))) (sqrt x)))
(+ t_2 (+ (- t_1 (+ (sqrt x) (+ (sqrt z) (sqrt 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 + z));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((t_1 - sqrt(z)) <= 0.0) {
tmp = t_2 + (((1.0 / (sqrt(y) + sqrt((1.0 + y)))) + sqrt((x + 1.0))) - sqrt(x));
} else {
tmp = t_2 + ((t_1 - (sqrt(x) + (sqrt(z) + sqrt(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 + z))
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
if ((t_1 - sqrt(z)) <= 0.0d0) then
tmp = t_2 + (((1.0d0 / (sqrt(y) + sqrt((1.0d0 + y)))) + sqrt((x + 1.0d0))) - sqrt(x))
else
tmp = t_2 + ((t_1 - (sqrt(x) + (sqrt(z) + sqrt(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 + z));
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if ((t_1 - Math.sqrt(z)) <= 0.0) {
tmp = t_2 + (((1.0 / (Math.sqrt(y) + Math.sqrt((1.0 + y)))) + Math.sqrt((x + 1.0))) - Math.sqrt(x));
} else {
tmp = t_2 + ((t_1 - (Math.sqrt(x) + (Math.sqrt(z) + Math.sqrt(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 + z)) t_2 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if (t_1 - math.sqrt(z)) <= 0.0: tmp = t_2 + (((1.0 / (math.sqrt(y) + math.sqrt((1.0 + y)))) + math.sqrt((x + 1.0))) - math.sqrt(x)) else: tmp = t_2 + ((t_1 - (math.sqrt(x) + (math.sqrt(z) + math.sqrt(y)))) + 2.0) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(t_1 - sqrt(z)) <= 0.0) tmp = Float64(t_2 + Float64(Float64(Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(1.0 + y)))) + sqrt(Float64(x + 1.0))) - sqrt(x))); else tmp = Float64(t_2 + Float64(Float64(t_1 - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(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 + z));
t_2 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if ((t_1 - sqrt(z)) <= 0.0)
tmp = t_2 + (((1.0 / (sqrt(y) + sqrt((1.0 + y)))) + sqrt((x + 1.0))) - sqrt(x));
else
tmp = t_2 + ((t_1 - (sqrt(x) + (sqrt(z) + sqrt(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[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]}, If[LessEqual[N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0], N[(t$95$2 + N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $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}\\
\mathbf{if}\;t\_1 - \sqrt{z} \leq 0:\\
\;\;\;\;t\_2 + \left(\left(\frac{1}{\sqrt{y} + \sqrt{1 + y}} + \sqrt{x + 1}\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(t\_1 - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right) + 2\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0Initial program 91.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6492.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6492.2
Applied rewrites92.2%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6470.2
Applied rewrites70.2%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in y around 0
associate-+r+N/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6433.3
Applied rewrites33.3%
Taylor expanded in x around 0
Applied rewrites25.7%
Final simplification46.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= x 2.2e+19)
(+
t_2
(+ t_1 (- (- (sqrt (+ 1.0 y)) (sqrt y)) (- (sqrt x) (sqrt (+ x 1.0))))))
(+ t_2 (+ t_1 (* 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 x)))))))))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 tmp;
if (x <= 2.2e+19) {
tmp = t_2 + (t_1 + ((sqrt((1.0 + y)) - sqrt(y)) - (sqrt(x) - sqrt((x + 1.0)))));
} else {
tmp = t_2 + (t_1 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
if (x <= 2.2d+19) then
tmp = t_2 + (t_1 + ((sqrt((1.0d0 + y)) - sqrt(y)) - (sqrt(x) - sqrt((x + 1.0d0)))))
else
tmp = t_2 + (t_1 + (0.5d0 * (sqrt((1.0d0 / y)) + sqrt((1.0d0 / x)))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (x <= 2.2e+19) {
tmp = t_2 + (t_1 + ((Math.sqrt((1.0 + y)) - Math.sqrt(y)) - (Math.sqrt(x) - Math.sqrt((x + 1.0)))));
} else {
tmp = t_2 + (t_1 + (0.5 * (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / x)))));
}
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) tmp = 0 if x <= 2.2e+19: tmp = t_2 + (t_1 + ((math.sqrt((1.0 + y)) - math.sqrt(y)) - (math.sqrt(x) - math.sqrt((x + 1.0))))) else: tmp = t_2 + (t_1 + (0.5 * (math.sqrt((1.0 / y)) + math.sqrt((1.0 / x))))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (x <= 2.2e+19) tmp = Float64(t_2 + Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) - Float64(sqrt(x) - sqrt(Float64(x + 1.0)))))); else tmp = Float64(t_2 + Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / x)))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (x <= 2.2e+19)
tmp = t_2 + (t_1 + ((sqrt((1.0 + y)) - sqrt(y)) - (sqrt(x) - sqrt((x + 1.0)))));
else
tmp = t_2 + (t_1 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(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]}, If[LessEqual[x, 2.2e+19], N[(t$95$2 + N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] - N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $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 + t} - \sqrt{t}\\
\mathbf{if}\;x \leq 2.2 \cdot 10^{+19}:\\
\;\;\;\;t\_2 + \left(t\_1 + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) - \left(\sqrt{x} - \sqrt{x + 1}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}}\right)\right)\\
\end{array}
\end{array}
if x < 2.2e19Initial program 98.0%
if 2.2e19 < x Initial program 90.5%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6443.1
Applied rewrites43.1%
Taylor expanded in x around inf
Applied rewrites44.1%
Final simplification74.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= x 1.46)
(+
t_2
(+ t_1 (+ (- (sqrt (+ 1.0 y)) (sqrt y)) (fma x 0.5 (- 1.0 (sqrt x))))))
(+ t_2 (+ t_1 (* 0.5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 x)))))))))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 tmp;
if (x <= 1.46) {
tmp = t_2 + (t_1 + ((sqrt((1.0 + y)) - sqrt(y)) + fma(x, 0.5, (1.0 - sqrt(x)))));
} else {
tmp = t_2 + (t_1 + (0.5 * (sqrt((1.0 / y)) + sqrt((1.0 / x)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (x <= 1.46) tmp = Float64(t_2 + Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + fma(x, 0.5, Float64(1.0 - sqrt(x)))))); else tmp = Float64(t_2 + Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / x)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + 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]}, If[LessEqual[x, 1.46], N[(t$95$2 + N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(x * 0.5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / x), $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 + t} - \sqrt{t}\\
\mathbf{if}\;x \leq 1.46:\\
\;\;\;\;t\_2 + \left(t\_1 + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \mathsf{fma}\left(x, 0.5, 1 - \sqrt{x}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}}\right)\right)\\
\end{array}
\end{array}
if x < 1.46Initial program 98.3%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6497.5
Applied rewrites97.5%
if 1.46 < x Initial program 90.4%
Taylor expanded in y around inf
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6442.8
Applied rewrites42.8%
Taylor expanded in x around inf
Applied rewrites43.2%
Final simplification72.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt (+ 1.0 t)) (sqrt t)) (+ (- (sqrt (+ 1.0 z)) (sqrt z)) (+ (- (sqrt (+ 1.0 y)) (sqrt y)) (fma x 0.5 (- 1.0 (sqrt x)))))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((1.0 + t)) - sqrt(t)) + ((sqrt((1.0 + z)) - sqrt(z)) + ((sqrt((1.0 + y)) - sqrt(y)) + fma(x, 0.5, (1.0 - sqrt(x)))));
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + fma(x, 0.5, Float64(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[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(x * 0.5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \mathsf{fma}\left(x, 0.5, 1 - \sqrt{x}\right)\right)\right)
\end{array}
Initial program 94.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6455.7
Applied rewrites55.7%
Final simplification55.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (- (sqrt (+ 1.0 y)) (sqrt x)) (sqrt y))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + ((sqrt((1.0 + y)) - sqrt(x)) - sqrt(y));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 + ((sqrt((1.0d0 + y)) - sqrt(x)) - sqrt(y))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + ((Math.sqrt((1.0 + y)) - Math.sqrt(x)) - Math.sqrt(y));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + ((math.sqrt((1.0 + y)) - math.sqrt(x)) - math.sqrt(y))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(x)) - sqrt(y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + ((sqrt((1.0 + y)) - sqrt(x)) - sqrt(y));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(\left(\sqrt{1 + y} - \sqrt{x}\right) - \sqrt{y}\right)
\end{array}
Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.7
Applied rewrites16.7%
Taylor expanded in x around 0
Applied rewrites27.3%
Taylor expanded in z around inf
Applied rewrites22.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (sqrt (+ 1.0 z)) (+ (sqrt x) (sqrt z)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + (sqrt((1.0 + z)) - (sqrt(x) + sqrt(z)));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 + (sqrt((1.0d0 + z)) - (sqrt(x) + sqrt(z)))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + (Math.sqrt((1.0 + z)) - (Math.sqrt(x) + Math.sqrt(z)));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + (math.sqrt((1.0 + z)) - (math.sqrt(x) + math.sqrt(z)))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(sqrt(Float64(1.0 + z)) - Float64(sqrt(x) + sqrt(z)))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + (sqrt((1.0 + z)) - (sqrt(x) + sqrt(z)));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(\sqrt{1 + z} - \left(\sqrt{x} + \sqrt{z}\right)\right)
\end{array}
Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.7
Applied rewrites16.7%
Taylor expanded in x around 0
Applied rewrites27.3%
Taylor expanded in y around inf
Applied rewrites26.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ 1.0 (- (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 + -sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 + -sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 + -Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 + -math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 + Float64(-sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 + -sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 + \left(-\sqrt{x}\right)
\end{array}
Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.7
Applied rewrites16.7%
Taylor expanded in x around 0
Applied rewrites27.3%
Taylor expanded in x around inf
Applied rewrites15.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(-sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := (-N[Sqrt[x], $MachinePrecision])
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
-\sqrt{x}
\end{array}
Initial program 94.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.7
Applied rewrites16.7%
Taylor expanded in x around 0
Applied rewrites27.3%
Taylor expanded in x around inf
Applied rewrites1.6%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024219
(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))))