
(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 24 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 (+ x 1.0)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_3 5e-5)
(+
t_4
(+ (- t_2 (sqrt z)) (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_1)))))
(+
(+ (/ (- (+ z 1.0) z) (+ (sqrt z) t_2)) (+ (- t_1 (sqrt x)) t_3))
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((z + 1.0));
double t_3 = sqrt((1.0 + y)) - sqrt(y);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_3 <= 5e-5) {
tmp = t_4 + ((t_2 - sqrt(z)) + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_1))));
} else {
tmp = ((((z + 1.0) - z) / (sqrt(z) + t_2)) + ((t_1 - sqrt(x)) + t_3)) + 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(z + 1.0)) t_3 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_3 <= 5e-5) tmp = Float64(t_4 + Float64(Float64(t_2 - sqrt(z)) + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_1))))); else tmp = Float64(Float64(Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_2)) + Float64(Float64(t_1 - sqrt(x)) + t_3)) + t_4); 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 5e-5], N[(t$95$4 + N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{1 + y} - \sqrt{y}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_3 \leq 5 \cdot 10^{-5}:\\
\;\;\;\;t\_4 + \left(\left(t\_2 - \sqrt{z}\right) + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_1}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\left(z + 1\right) - z}{\sqrt{z} + t\_2} + \left(\left(t\_1 - \sqrt{x}\right) + t\_3\right)\right) + t\_4\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 5.00000000000000024e-5Initial program 85.3%
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
+-commutativeN/A
lower-+.f6486.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6486.0
Applied rewrites86.0%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6492.1
Applied rewrites92.1%
if 5.00000000000000024e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.3%
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
+-commutativeN/A
lower-+.f6497.6
Applied rewrites97.6%
Final simplification95.1%
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 (+ z 1.0)) (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- t_3 (sqrt x)))
(t_5 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_6 (+ (+ (+ t_4 (- t_1 (sqrt y))) t_2) t_5)))
(if (<= t_6 2e-7)
(+ (+ (/ 0.5 (sqrt x)) t_5) t_2)
(if (<= t_6 1.0)
(+ (+ t_4 t_2) t_5)
(if (<= t_6 2.0002)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_1) t_3) (+ (sqrt x) (sqrt y)))
(+
(* (sqrt (/ 1.0 t)) 0.5)
(+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_2)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = t_3 - sqrt(x);
double t_5 = sqrt((t + 1.0)) - sqrt(t);
double t_6 = ((t_4 + (t_1 - sqrt(y))) + t_2) + t_5;
double tmp;
if (t_6 <= 2e-7) {
tmp = ((0.5 / sqrt(x)) + t_5) + t_2;
} else if (t_6 <= 1.0) {
tmp = (t_4 + t_2) + t_5;
} else if (t_6 <= 2.0002) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_1) + t_3) - (sqrt(x) + sqrt(y));
} else {
tmp = (sqrt((1.0 / t)) * 0.5) + (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_3 - sqrt(x)) t_5 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_6 = Float64(Float64(Float64(t_4 + Float64(t_1 - sqrt(y))) + t_2) + t_5) tmp = 0.0 if (t_6 <= 2e-7) tmp = Float64(Float64(Float64(0.5 / sqrt(x)) + t_5) + t_2); elseif (t_6 <= 1.0) tmp = Float64(Float64(t_4 + t_2) + t_5); elseif (t_6 <= 2.0002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_1) + t_3) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(sqrt(Float64(1.0 / t)) * 0.5) + Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2)); 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[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$4 + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 2e-7], N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(t$95$4 + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_3 - \sqrt{x}\\
t_5 := \sqrt{t + 1} - \sqrt{t}\\
t_6 := \left(\left(t\_4 + \left(t\_1 - \sqrt{y}\right)\right) + t\_2\right) + t\_5\\
\mathbf{if}\;t\_6 \leq 2 \cdot 10^{-7}:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{x}} + t\_5\right) + t\_2\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\left(t\_4 + t\_2\right) + t\_5\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_1\right) + t\_3\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{1}{t}} \cdot 0.5 + \left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_2\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))) < 1.9999999999999999e-7Initial program 8.3%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6427.6
Applied rewrites27.6%
Taylor expanded in y around inf
Applied rewrites27.6%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
Applied rewrites27.5%
if 1.9999999999999999e-7 < (+.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 97.6%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6468.6
Applied rewrites68.6%
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))) < 2.00019999999999998Initial program 96.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites5.8%
Taylor expanded in z around inf
Applied rewrites23.0%
if 2.00019999999999998 < (+.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 98.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6466.4
Applied rewrites66.4%
Taylor expanded in t around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6424.8
Applied rewrites24.8%
Taylor expanded in y around 0
Applied rewrites21.6%
Final simplification32.7%
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 (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ x 1.0)))
(t_5 (- t_4 (sqrt x)))
(t_6 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_7 (+ (+ (+ t_5 (- t_1 (sqrt y))) t_3) t_6)))
(if (<= t_7 2e-7)
(+ (+ (/ 0.5 (sqrt x)) t_6) t_3)
(if (<= t_7 1.0)
(+ (+ t_5 t_3) t_6)
(if (<= t_7 2.0002)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_1) t_4) (+ (sqrt x) (sqrt y)))
(+ (- (+ t_4 t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) t_2))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((x + 1.0));
double t_5 = t_4 - sqrt(x);
double t_6 = sqrt((t + 1.0)) - sqrt(t);
double t_7 = ((t_5 + (t_1 - sqrt(y))) + t_3) + t_6;
double tmp;
if (t_7 <= 2e-7) {
tmp = ((0.5 / sqrt(x)) + t_6) + t_3;
} else if (t_7 <= 1.0) {
tmp = (t_5 + t_3) + t_6;
} else if (t_7 <= 2.0002) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_1) + t_4) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_4 + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + t_2;
}
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(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(x + 1.0)) t_5 = Float64(t_4 - sqrt(x)) t_6 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_7 = Float64(Float64(Float64(t_5 + Float64(t_1 - sqrt(y))) + t_3) + t_6) tmp = 0.0 if (t_7 <= 2e-7) tmp = Float64(Float64(Float64(0.5 / sqrt(x)) + t_6) + t_3); elseif (t_7 <= 1.0) tmp = Float64(Float64(t_5 + t_3) + t_6); elseif (t_7 <= 2.0002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_1) + t_4) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_4 + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + t_2); 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[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(t$95$5 + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 2e-7], N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$7, 1.0], N[(N[(t$95$5 + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 2.0002], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] + t$95$4), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{x + 1}\\
t_5 := t\_4 - \sqrt{x}\\
t_6 := \sqrt{t + 1} - \sqrt{t}\\
t_7 := \left(\left(t\_5 + \left(t\_1 - \sqrt{y}\right)\right) + t\_3\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 2 \cdot 10^{-7}:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{x}} + t\_6\right) + t\_3\\
\mathbf{elif}\;t\_7 \leq 1:\\
\;\;\;\;\left(t\_5 + t\_3\right) + t\_6\\
\mathbf{elif}\;t\_7 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_1\right) + t\_4\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + t\_2\\
\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))) < 1.9999999999999999e-7Initial program 8.3%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6427.6
Applied rewrites27.6%
Taylor expanded in y around inf
Applied rewrites27.6%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
Applied rewrites27.5%
if 1.9999999999999999e-7 < (+.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 97.6%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6468.6
Applied rewrites68.6%
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))) < 2.00019999999999998Initial program 96.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites5.8%
Taylor expanded in z around inf
Applied rewrites23.0%
if 2.00019999999999998 < (+.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 98.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites25.4%
Applied rewrites30.4%
Final simplification35.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ (+ t_3 (- t_5 (sqrt y))) t_1)))
(if (<= t_6 2e-7)
(+ (+ (/ 0.5 (sqrt x)) t_4) t_1)
(if (<= t_6 1.0)
(+ (+ t_3 t_1) t_4)
(if (<= t_6 2.0002)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_5) t_2) (+ (sqrt x) (sqrt y)))
(+ (+ (- (- (fma (+ x y) 0.5 2.0) (sqrt y)) (sqrt x)) t_1) t_4))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((1.0 + y));
double t_6 = (t_3 + (t_5 - sqrt(y))) + t_1;
double tmp;
if (t_6 <= 2e-7) {
tmp = ((0.5 / sqrt(x)) + t_4) + t_1;
} else if (t_6 <= 1.0) {
tmp = (t_3 + t_1) + t_4;
} else if (t_6 <= 2.0002) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_5) + t_2) - (sqrt(x) + sqrt(y));
} else {
tmp = (((fma((x + y), 0.5, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_4;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(Float64(t_3 + Float64(t_5 - sqrt(y))) + t_1) tmp = 0.0 if (t_6 <= 2e-7) tmp = Float64(Float64(Float64(0.5 / sqrt(x)) + t_4) + t_1); elseif (t_6 <= 1.0) tmp = Float64(Float64(t_3 + t_1) + t_4); elseif (t_6 <= 2.0002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_5) + t_2) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(fma(Float64(x + y), 0.5, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_4); 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[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$3 + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$6, 2e-7], N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(t$95$3 + t$95$1), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(x + y), $MachinePrecision] * 0.5 + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{1 + y}\\
t_6 := \left(t\_3 + \left(t\_5 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_6 \leq 2 \cdot 10^{-7}:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{x}} + t\_4\right) + t\_1\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\left(t\_3 + t\_1\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_5\right) + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(x + y, 0.5, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + t\_4\\
\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))) < 1.9999999999999999e-7Initial program 38.7%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6451.6
Applied rewrites51.6%
Taylor expanded in y around inf
Applied rewrites51.6%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
Applied rewrites51.6%
if 1.9999999999999999e-7 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 97.4%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6464.4
Applied rewrites64.4%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 96.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.6%
Taylor expanded in z around inf
Applied rewrites26.7%
if 2.00019999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.6
Applied rewrites98.6%
Taylor expanded in y around 0
Applied rewrites93.6%
Final simplification51.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- t_2 (sqrt x)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ (+ t_3 (- t_5 (sqrt y))) t_1)))
(if (<= t_6 2e-7)
(+ (+ (/ 0.5 (sqrt x)) t_4) t_1)
(if (<= t_6 1.0)
(+ (+ t_3 t_1) t_4)
(if (<= t_6 2.0002)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_5) t_2) (+ (sqrt x) (sqrt y)))
(+ (+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_1) t_4))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = t_2 - sqrt(x);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((1.0 + y));
double t_6 = (t_3 + (t_5 - sqrt(y))) + t_1;
double tmp;
if (t_6 <= 2e-7) {
tmp = ((0.5 / sqrt(x)) + t_4) + t_1;
} else if (t_6 <= 1.0) {
tmp = (t_3 + t_1) + t_4;
} else if (t_6 <= 2.0002) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_5) + t_2) - (sqrt(x) + sqrt(y));
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_4;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(t_2 - sqrt(x)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(Float64(t_3 + Float64(t_5 - sqrt(y))) + t_1) tmp = 0.0 if (t_6 <= 2e-7) tmp = Float64(Float64(Float64(0.5 / sqrt(x)) + t_4) + t_1); elseif (t_6 <= 1.0) tmp = Float64(Float64(t_3 + t_1) + t_4); elseif (t_6 <= 2.0002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_5) + t_2) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_4); 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[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$3 + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$6, 2e-7], N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(t$95$3 + t$95$1), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := t\_2 - \sqrt{x}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{1 + y}\\
t_6 := \left(t\_3 + \left(t\_5 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_6 \leq 2 \cdot 10^{-7}:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{x}} + t\_4\right) + t\_1\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\left(t\_3 + t\_1\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_5\right) + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + t\_4\\
\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))) < 1.9999999999999999e-7Initial program 38.7%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6451.6
Applied rewrites51.6%
Taylor expanded in y around inf
Applied rewrites51.6%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
Applied rewrites51.6%
if 1.9999999999999999e-7 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 97.4%
Taylor expanded in y around inf
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6464.4
Applied rewrites64.4%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 96.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.6%
Taylor expanded in z around inf
Applied rewrites26.7%
if 2.00019999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.6
Applied rewrites98.6%
Taylor expanded in y around 0
Applied rewrites92.9%
Final simplification51.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ (+ (- t_3 (sqrt x)) (- t_5 (sqrt y))) t_2)))
(if (<= t_6 0.5)
(+ (+ (/ 0.5 (sqrt x)) t_4) t_2)
(if (<= t_6 1.0)
(+ (+ (- (fma 0.5 x 1.0) (sqrt x)) t_2) t_4)
(if (<= t_6 2.0002)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_5) t_3) (+ (sqrt x) (sqrt y)))
(+ (- (+ t_3 t_5) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((1.0 + y));
double t_6 = ((t_3 - sqrt(x)) + (t_5 - sqrt(y))) + t_2;
double tmp;
if (t_6 <= 0.5) {
tmp = ((0.5 / sqrt(x)) + t_4) + t_2;
} else if (t_6 <= 1.0) {
tmp = ((fma(0.5, x, 1.0) - sqrt(x)) + t_2) + t_4;
} else if (t_6 <= 2.0002) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_5) + t_3) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_3 + t_5) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_5 - sqrt(y))) + t_2) tmp = 0.0 if (t_6 <= 0.5) tmp = Float64(Float64(Float64(0.5 / sqrt(x)) + t_4) + t_2); elseif (t_6 <= 1.0) tmp = Float64(Float64(Float64(fma(0.5, x, 1.0) - sqrt(x)) + t_2) + t_4); elseif (t_6 <= 2.0002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_5) + t_3) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_3 + t_5) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 0.5], N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$3 + t$95$5), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{1 + y}\\
t_6 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_5 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 0.5:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{x}} + t\_4\right) + t\_2\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1\right) - \sqrt{x}\right) + t\_2\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_5\right) + t\_3\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_3 + t\_5\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.5Initial program 42.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6453.9
Applied rewrites53.9%
Taylor expanded in y around inf
Applied rewrites53.9%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
Applied rewrites53.8%
if 0.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 97.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f647.4
Applied rewrites7.4%
Taylor expanded in y around inf
Applied rewrites38.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 96.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.6%
Taylor expanded in z around inf
Applied rewrites26.7%
if 2.00019999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites58.1%
Applied rewrites58.1%
Final simplification37.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ (+ (- t_3 (sqrt x)) (- t_5 (sqrt y))) t_2)))
(if (<= t_6 0.5)
(+ (+ (/ 0.5 (sqrt x)) t_4) t_2)
(if (<= t_6 1.0)
(+ (+ (- (fma 0.5 x 1.0) (sqrt x)) t_2) t_4)
(if (<= t_6 2.0002)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_5) t_3) (+ (sqrt x) (sqrt y)))
(- (+ (+ t_5 1.0) t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((1.0 + y));
double t_6 = ((t_3 - sqrt(x)) + (t_5 - sqrt(y))) + t_2;
double tmp;
if (t_6 <= 0.5) {
tmp = ((0.5 / sqrt(x)) + t_4) + t_2;
} else if (t_6 <= 1.0) {
tmp = ((fma(0.5, x, 1.0) - sqrt(x)) + t_2) + t_4;
} else if (t_6 <= 2.0002) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_5) + t_3) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_5 + 1.0) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_5 - sqrt(y))) + t_2) tmp = 0.0 if (t_6 <= 0.5) tmp = Float64(Float64(Float64(0.5 / sqrt(x)) + t_4) + t_2); elseif (t_6 <= 1.0) tmp = Float64(Float64(Float64(fma(0.5, x, 1.0) - sqrt(x)) + t_2) + t_4); elseif (t_6 <= 2.0002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_5) + t_3) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_5 + 1.0) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 0.5], N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{1 + y}\\
t_6 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_5 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 0.5:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{x}} + t\_4\right) + t\_2\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1\right) - \sqrt{x}\right) + t\_2\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_5\right) + t\_3\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_5 + 1\right) + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\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))) < 0.5Initial program 42.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6453.9
Applied rewrites53.9%
Taylor expanded in y around inf
Applied rewrites53.9%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
Applied rewrites53.8%
if 0.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 97.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f647.4
Applied rewrites7.4%
Taylor expanded in y around inf
Applied rewrites38.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 96.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.6%
Taylor expanded in z around inf
Applied rewrites26.7%
if 2.00019999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites58.1%
Taylor expanded in x around 0
Applied rewrites58.1%
Final simplification37.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ (+ (- t_3 (sqrt x)) (- t_5 (sqrt y))) t_2)))
(if (<= t_6 0.5)
(+ (+ (/ 0.5 (sqrt x)) t_4) t_2)
(if (<= t_6 1.0)
(+ (+ (- (fma 0.5 x 1.0) (sqrt x)) t_2) t_4)
(if (<= t_6 2.0)
(- (+ t_3 t_5) (+ (sqrt x) (sqrt y)))
(- (+ (+ t_5 1.0) t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((1.0 + y));
double t_6 = ((t_3 - sqrt(x)) + (t_5 - sqrt(y))) + t_2;
double tmp;
if (t_6 <= 0.5) {
tmp = ((0.5 / sqrt(x)) + t_4) + t_2;
} else if (t_6 <= 1.0) {
tmp = ((fma(0.5, x, 1.0) - sqrt(x)) + t_2) + t_4;
} else if (t_6 <= 2.0) {
tmp = (t_3 + t_5) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_5 + 1.0) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_5 - sqrt(y))) + t_2) tmp = 0.0 if (t_6 <= 0.5) tmp = Float64(Float64(Float64(0.5 / sqrt(x)) + t_4) + t_2); elseif (t_6 <= 1.0) tmp = Float64(Float64(Float64(fma(0.5, x, 1.0) - sqrt(x)) + t_2) + t_4); elseif (t_6 <= 2.0) tmp = Float64(Float64(t_3 + t_5) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_5 + 1.0) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$6, 0.5], N[(N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.0], N[(N[(t$95$3 + t$95$5), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{1 + y}\\
t_6 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_5 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_6 \leq 0.5:\\
\;\;\;\;\left(\frac{0.5}{\sqrt{x}} + t\_4\right) + t\_2\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1\right) - \sqrt{x}\right) + t\_2\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;\left(t\_3 + t\_5\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_5 + 1\right) + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\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))) < 0.5Initial program 42.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6453.9
Applied rewrites53.9%
Taylor expanded in y around inf
Applied rewrites53.9%
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+l+N/A
Applied rewrites53.8%
if 0.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 97.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f647.4
Applied rewrites7.4%
Taylor expanded in y around inf
Applied rewrites38.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.3%
Taylor expanded in z around inf
Applied rewrites26.3%
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 97.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites55.7%
Taylor expanded in x around 0
Applied rewrites55.7%
Final simplification37.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) t_1)))
(if (<= t_5 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_3)
(if (<= t_5 2.0002)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_2) (+ (sqrt x) (sqrt y)))
(+ (+ (- (- (fma (+ x y) 0.5 2.0) (sqrt y)) (sqrt x)) t_1) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + t_1;
double tmp;
if (t_5 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
} else if (t_5 <= 2.0002) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_2) - (sqrt(x) + sqrt(y));
} else {
tmp = (((fma((x + y), 0.5, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_1) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_3); elseif (t_5 <= 2.0002) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_2) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(Float64(fma(Float64(x + y), 0.5, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + 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[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 2.0002], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(x + y), $MachinePrecision] * 0.5 + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_1\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 2.0002:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(x + y, 0.5, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 85.8%
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
+-commutativeN/A
lower-+.f6486.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6486.4
Applied rewrites86.4%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6462.7
Applied rewrites62.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 96.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.6%
Taylor expanded in z around inf
Applied rewrites26.7%
if 2.00019999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.6
Applied rewrites98.6%
Taylor expanded in y around 0
Applied rewrites93.6%
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 (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_3 (sqrt x)) (- t_4 (sqrt y))) t_2)))
(if (<= t_5 1.0)
(+ (+ (- (fma 0.5 x 1.0) (sqrt x)) t_2) (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_5 2.0)
(- (+ t_3 t_4) (+ (sqrt x) (sqrt y)))
(- (+ (+ t_4 1.0) t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((x + 1.0));
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_3 - sqrt(x)) + (t_4 - sqrt(y))) + t_2;
double tmp;
if (t_5 <= 1.0) {
tmp = ((fma(0.5, x, 1.0) - sqrt(x)) + t_2) + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_5 <= 2.0) {
tmp = (t_3 + t_4) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_4 + 1.0) + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(x + 1.0)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_3 - sqrt(x)) + Float64(t_4 - sqrt(y))) + t_2) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(Float64(fma(0.5, x, 1.0) - sqrt(x)) + t_2) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_5 <= 2.0) tmp = Float64(Float64(t_3 + t_4) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_4 + 1.0) + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(t$95$3 + t$95$4), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{x + 1}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_3 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + t\_2\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1\right) - \sqrt{x}\right) + t\_2\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(t\_3 + t\_4\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\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))) < 1Initial program 85.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f646.6
Applied rewrites6.6%
Taylor expanded in y around inf
Applied rewrites31.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.3%
Taylor expanded in z around inf
Applied rewrites26.3%
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 97.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites55.7%
Taylor expanded in x around 0
Applied rewrites55.7%
Final simplification32.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0)
(+ (- (+ t_1 t_2) t_3) 1.0)
(if (<= t_5 2.0)
(- (+ t_2 t_4) (+ (sqrt x) (sqrt y)))
(- (+ (+ t_4 1.0) t_1) t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = (sqrt(z) + sqrt(y)) + sqrt(x);
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = ((t_1 + t_2) - t_3) + 1.0;
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_4 + 1.0) + t_1) - t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = sqrt((x + 1.0d0))
t_3 = (sqrt(z) + sqrt(y)) + sqrt(x)
t_4 = sqrt((1.0d0 + y))
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z))
if (t_5 <= 1.0d0) then
tmp = ((t_1 + t_2) - t_3) + 1.0d0
else if (t_5 <= 2.0d0) then
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y))
else
tmp = ((t_4 + 1.0d0) + t_1) - t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = (Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x);
double t_4 = Math.sqrt((1.0 + y));
double t_5 = ((t_2 - Math.sqrt(x)) + (t_4 - Math.sqrt(y))) + (t_1 - Math.sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = ((t_1 + t_2) - t_3) + 1.0;
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = ((t_4 + 1.0) + t_1) - t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = math.sqrt((x + 1.0)) t_3 = (math.sqrt(z) + math.sqrt(y)) + math.sqrt(x) t_4 = math.sqrt((1.0 + y)) t_5 = ((t_2 - math.sqrt(x)) + (t_4 - math.sqrt(y))) + (t_1 - math.sqrt(z)) tmp = 0 if t_5 <= 1.0: tmp = ((t_1 + t_2) - t_3) + 1.0 elif t_5 <= 2.0: tmp = (t_2 + t_4) - (math.sqrt(x) + math.sqrt(y)) else: tmp = ((t_4 + 1.0) + t_1) - t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(Float64(Float64(t_1 + t_2) - t_3) + 1.0); elseif (t_5 <= 2.0) tmp = Float64(Float64(t_2 + t_4) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_4 + 1.0) + t_1) - t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0));
t_2 = sqrt((x + 1.0));
t_3 = (sqrt(z) + sqrt(y)) + sqrt(x);
t_4 = sqrt((1.0 + y));
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
tmp = 0.0;
if (t_5 <= 1.0)
tmp = ((t_1 + t_2) - t_3) + 1.0;
elseif (t_5 <= 2.0)
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y));
else
tmp = ((t_4 + 1.0) + t_1) - t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(N[(N[(t$95$1 + t$95$2), $MachinePrecision] - t$95$3), $MachinePrecision] + 1.0), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(t$95$2 + t$95$4), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - t$95$3), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;\left(\left(t\_1 + t\_2\right) - t\_3\right) + 1\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(t\_2 + t\_4\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + t\_1\right) - t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 85.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.2%
Taylor expanded in y around 0
Applied rewrites31.4%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.3%
Taylor expanded in z around inf
Applied rewrites26.3%
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 97.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites55.7%
Taylor expanded in x around 0
Applied rewrites55.7%
Final simplification32.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ (- (+ t_1 t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) 1.0))
(t_4 (sqrt (+ 1.0 y)))
(t_5 (+ (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) (- t_1 (sqrt z)))))
(if (<= t_5 1.0)
t_3
(if (<= t_5 2.0) (- (+ t_2 t_4) (+ (sqrt x) (sqrt y))) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = ((t_1 + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
double t_4 = sqrt((1.0 + y));
double t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = t_3;
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y));
} else {
tmp = t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((z + 1.0d0))
t_2 = sqrt((x + 1.0d0))
t_3 = ((t_1 + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0d0
t_4 = sqrt((1.0d0 + y))
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z))
if (t_5 <= 1.0d0) then
tmp = t_3
else if (t_5 <= 2.0d0) then
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y))
else
tmp = 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((z + 1.0));
double t_2 = Math.sqrt((x + 1.0));
double t_3 = ((t_1 + t_2) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x))) + 1.0;
double t_4 = Math.sqrt((1.0 + y));
double t_5 = ((t_2 - Math.sqrt(x)) + (t_4 - Math.sqrt(y))) + (t_1 - Math.sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = t_3;
} else if (t_5 <= 2.0) {
tmp = (t_2 + t_4) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) t_2 = math.sqrt((x + 1.0)) t_3 = ((t_1 + t_2) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) + 1.0 t_4 = math.sqrt((1.0 + y)) t_5 = ((t_2 - math.sqrt(x)) + (t_4 - math.sqrt(y))) + (t_1 - math.sqrt(z)) tmp = 0 if t_5 <= 1.0: tmp = t_3 elif t_5 <= 2.0: tmp = (t_2 + t_4) - (math.sqrt(x) + math.sqrt(y)) else: tmp = t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(Float64(Float64(t_1 + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0) t_4 = sqrt(Float64(1.0 + y)) t_5 = Float64(Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) + Float64(t_1 - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = t_3; elseif (t_5 <= 2.0) tmp = Float64(Float64(t_2 + t_4) - Float64(sqrt(x) + sqrt(y))); else tmp = 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((z + 1.0));
t_2 = sqrt((x + 1.0));
t_3 = ((t_1 + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
t_4 = sqrt((1.0 + y));
t_5 = ((t_2 - sqrt(x)) + (t_4 - sqrt(y))) + (t_1 - sqrt(z));
tmp = 0.0;
if (t_5 <= 1.0)
tmp = t_3;
elseif (t_5 <= 2.0)
tmp = (t_2 + t_4) - (sqrt(x) + sqrt(y));
else
tmp = t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], t$95$3, If[LessEqual[t$95$5, 2.0], N[(N[(t$95$2 + t$95$4), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(\left(t\_1 + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
t_4 := \sqrt{1 + y}\\
t_5 := \left(\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right)\right) + \left(t\_1 - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(t\_2 + t\_4\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1 or 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 88.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites14.1%
Taylor expanded in y around 0
Applied rewrites35.4%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 97.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.3%
Taylor expanded in z around inf
Applied rewrites26.3%
Final simplification31.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y))))
(t_3 (- (sqrt (+ z 1.0)) (sqrt z))))
(if (<= t_2 2e-7)
(+ (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_3) t_1)
(+ (+ t_2 t_3) t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = (sqrt((x + 1.0)) - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y));
double t_3 = sqrt((z + 1.0)) - sqrt(z);
double tmp;
if (t_2 <= 2e-7) {
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_3) + t_1;
} else {
tmp = (t_2 + t_3) + 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((t + 1.0d0)) - sqrt(t)
t_2 = (sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((1.0d0 + y)) - sqrt(y))
t_3 = sqrt((z + 1.0d0)) - sqrt(z)
if (t_2 <= 2d-7) then
tmp = (((sqrt((1.0d0 / x)) + sqrt((1.0d0 / y))) * 0.5d0) + t_3) + t_1
else
tmp = (t_2 + t_3) + t_1
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_2 = (Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((1.0 + y)) - Math.sqrt(y));
double t_3 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double tmp;
if (t_2 <= 2e-7) {
tmp = (((Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / y))) * 0.5) + t_3) + t_1;
} else {
tmp = (t_2 + t_3) + t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((t + 1.0)) - math.sqrt(t) t_2 = (math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((1.0 + y)) - math.sqrt(y)) t_3 = math.sqrt((z + 1.0)) - math.sqrt(z) tmp = 0 if t_2 <= 2e-7: tmp = (((math.sqrt((1.0 / x)) + math.sqrt((1.0 / y))) * 0.5) + t_3) + t_1 else: tmp = (t_2 + t_3) + t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))) t_3 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) tmp = 0.0 if (t_2 <= 2e-7) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_3) + t_1); else tmp = Float64(Float64(t_2 + t_3) + t_1); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((t + 1.0)) - sqrt(t);
t_2 = (sqrt((x + 1.0)) - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y));
t_3 = sqrt((z + 1.0)) - sqrt(z);
tmp = 0.0;
if (t_2 <= 2e-7)
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_3) + t_1;
else
tmp = (t_2 + t_3) + t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 2e-7], N[(N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(t$95$2 + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\\
t_3 := \sqrt{z + 1} - \sqrt{z}\\
\mathbf{if}\;t\_2 \leq 2 \cdot 10^{-7}:\\
\;\;\;\;\left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_3\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + t\_3\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.9999999999999999e-7Initial program 68.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6475.5
Applied rewrites75.5%
Taylor expanded in y around inf
Applied rewrites84.1%
if 1.9999999999999999e-7 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.2%
Final simplification94.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ 1.0 y)) (sqrt y))))
(if (<= (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_3) 0.5)
(+ (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_2) t_1)
(+ (+ (+ (fma (fma -0.125 x 0.5) x (- 1.0 (sqrt x))) t_3) t_2) t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((1.0 + y)) - sqrt(y);
double tmp;
if (((sqrt((x + 1.0)) - sqrt(x)) + t_3) <= 0.5) {
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_2) + t_1;
} else {
tmp = ((fma(fma(-0.125, x, 0.5), x, (1.0 - sqrt(x))) + t_3) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_3) <= 0.5) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_2) + t_1); else tmp = Float64(Float64(Float64(fma(fma(-0.125, x, 0.5), x, Float64(1.0 - sqrt(x))) + t_3) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], 0.5], N[(N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(N[(-0.125 * x + 0.5), $MachinePrecision] * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{1 + y} - \sqrt{y}\\
\mathbf{if}\;\left(\sqrt{x + 1} - \sqrt{x}\right) + t\_3 \leq 0.5:\\
\;\;\;\;\left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_2\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.125, x, 0.5\right), x, 1 - \sqrt{x}\right) + t\_3\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.5Initial program 69.7%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6474.5
Applied rewrites74.5%
Taylor expanded in y around inf
Applied rewrites82.8%
if 0.5 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.2%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6465.6
Applied rewrites65.6%
Final simplification69.0%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_3 (- (sqrt (+ 1.0 y)) (sqrt y))))
(if (<= (+ (- (sqrt (+ x 1.0)) (sqrt x)) t_3) 0.5)
(+ (+ (* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5) t_2) t_1)
(+ (+ (+ (fma 0.5 x (- 1.0 (sqrt x))) t_3) t_2) t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0)) - sqrt(z);
double t_3 = sqrt((1.0 + y)) - sqrt(y);
double tmp;
if (((sqrt((x + 1.0)) - sqrt(x)) + t_3) <= 0.5) {
tmp = (((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5) + t_2) + t_1;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + t_3) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + t_3) <= 0.5) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5) + t_2) + t_1); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_3) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], 0.5], N[(N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1} - \sqrt{z}\\
t_3 := \sqrt{1 + y} - \sqrt{y}\\
\mathbf{if}\;\left(\sqrt{x + 1} - \sqrt{x}\right) + t\_3 \leq 0.5:\\
\;\;\;\;\left(\left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5 + t\_2\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_3\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.5Initial program 69.7%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6474.5
Applied rewrites74.5%
Taylor expanded in y around inf
Applied rewrites82.8%
if 0.5 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.2%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6467.0
Applied rewrites67.0%
Final simplification70.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ 1.0 y))))
(if (<= (+ (- t_2 (sqrt x)) (- t_4 (sqrt y))) 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_3)
(+ (+ (- (- (+ (fma 0.5 x 1.0) t_4) (sqrt y)) (sqrt x)) t_1) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((1.0 + y));
double tmp;
if (((t_2 - sqrt(x)) + (t_4 - sqrt(y))) <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
} else {
tmp = ((((fma(0.5, x, 1.0) + t_4) - sqrt(y)) - sqrt(x)) + t_1) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + y)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(x)) + Float64(t_4 - sqrt(y))) <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_3); else tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_4) - sqrt(y)) - sqrt(x)) + t_1) + 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[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$4), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{1 + y}\\
\mathbf{if}\;\left(t\_2 - \sqrt{x}\right) + \left(t\_4 - \sqrt{y}\right) \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_4\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1Initial program 89.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f6490.1
lift-+.f64N/A
+-commutativeN/A
lower-+.f6490.1
Applied rewrites90.1%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6462.9
Applied rewrites62.9%
if 1 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6493.1
Applied rewrites93.1%
Final simplification71.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (- (sqrt (+ 1.0 y)) (sqrt y))))
(if (<= (+ (- t_2 (sqrt x)) t_4) 0.999999995)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_3)
(+ (+ (+ (- 1.0 (sqrt x)) t_4) t_1) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((1.0 + y)) - sqrt(y);
double tmp;
if (((t_2 - sqrt(x)) + t_4) <= 0.999999995) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
} else {
tmp = (((1.0 - sqrt(x)) + t_4) + t_1) + t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((z + 1.0d0)) - sqrt(z)
t_2 = sqrt((x + 1.0d0))
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
t_4 = sqrt((1.0d0 + y)) - sqrt(y)
if (((t_2 - sqrt(x)) + t_4) <= 0.999999995d0) then
tmp = ((1.0d0 / (sqrt(x) + t_2)) + t_1) + t_3
else
tmp = (((1.0d0 - sqrt(x)) + t_4) + t_1) + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z + 1.0)) - Math.sqrt(z);
double t_2 = Math.sqrt((x + 1.0));
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + y)) - Math.sqrt(y);
double tmp;
if (((t_2 - Math.sqrt(x)) + t_4) <= 0.999999995) {
tmp = ((1.0 / (Math.sqrt(x) + t_2)) + t_1) + t_3;
} else {
tmp = (((1.0 - Math.sqrt(x)) + t_4) + t_1) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((z + 1.0)) - math.sqrt(z) t_2 = math.sqrt((x + 1.0)) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) t_4 = math.sqrt((1.0 + y)) - math.sqrt(y) tmp = 0 if ((t_2 - math.sqrt(x)) + t_4) <= 0.999999995: tmp = ((1.0 / (math.sqrt(x) + t_2)) + t_1) + t_3 else: tmp = (((1.0 - math.sqrt(x)) + t_4) + t_1) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(x)) + t_4) <= 0.999999995) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_4) + t_1) + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((z + 1.0)) - sqrt(z);
t_2 = sqrt((x + 1.0));
t_3 = sqrt((t + 1.0)) - sqrt(t);
t_4 = sqrt((1.0 + y)) - sqrt(y);
tmp = 0.0;
if (((t_2 - sqrt(x)) + t_4) <= 0.999999995)
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
else
tmp = (((1.0 - sqrt(x)) + t_4) + t_1) + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], 0.999999995], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{1 + y} - \sqrt{y}\\
\mathbf{if}\;\left(t\_2 - \sqrt{x}\right) + t\_4 \leq 0.999999995:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_4\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.99999999500000003Initial program 72.3%
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
+-commutativeN/A
lower-+.f6473.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6473.7
Applied rewrites73.7%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6475.7
Applied rewrites75.7%
if 0.99999999500000003 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.2%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6465.6
Applied rewrites65.6%
Final simplification67.8%
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 (+ z 1.0)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= (- t_2 (sqrt y)) 5e-5)
(+
t_3
(+
(- t_1 (sqrt z))
(fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) (sqrt (+ x 1.0)))))))
(+
(+
(- (- (+ (fma 0.5 x 1.0) t_2) (sqrt y)) (sqrt x))
(/ (- (+ z 1.0) z) (+ (sqrt z) t_1)))
t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if ((t_2 - sqrt(y)) <= 5e-5) {
tmp = t_3 + ((t_1 - sqrt(z)) + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + sqrt((x + 1.0))))));
} else {
tmp = ((((fma(0.5, x, 1.0) + t_2) - sqrt(y)) - sqrt(x)) + (((z + 1.0) - z) / (sqrt(z) + t_1))) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = sqrt(Float64(1.0 + y)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 - sqrt(y)) <= 5e-5) tmp = Float64(t_3 + Float64(Float64(t_1 - sqrt(z)) + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(x + 1.0))))))); else tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_2) - sqrt(y)) - sqrt(x)) + Float64(Float64(Float64(z + 1.0) - z) / Float64(sqrt(z) + t_1))) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 5e-5], N[(t$95$3 + N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_2 - \sqrt{y} \leq 5 \cdot 10^{-5}:\\
\;\;\;\;t\_3 + \left(\left(t\_1 - \sqrt{z}\right) + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + \sqrt{x + 1}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_2\right) - \sqrt{y}\right) - \sqrt{x}\right) + \frac{\left(z + 1\right) - z}{\sqrt{z} + t\_1}\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 5.00000000000000024e-5Initial program 85.3%
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
+-commutativeN/A
lower-+.f6486.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6486.0
Applied rewrites86.0%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6492.1
Applied rewrites92.1%
if 5.00000000000000024e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.3%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6452.0
Applied rewrites52.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6452.3
Applied rewrites52.3%
Final simplification70.8%
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 (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ x 1.0))))
(if (<= (- t_3 (sqrt x)) 0.9996)
(+ (+ (/ 1.0 (+ (sqrt x) t_3)) t_1) t_2)
(+
(+ (+ (fma 0.5 x (- 1.0 (sqrt x))) (- (sqrt (+ 1.0 y)) (sqrt y))) t_1)
t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((x + 1.0));
double tmp;
if ((t_3 - sqrt(x)) <= 0.9996) {
tmp = ((1.0 / (sqrt(x) + t_3)) + t_1) + t_2;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + (sqrt((1.0 + y)) - sqrt(y))) + t_1) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_3 - sqrt(x)) <= 0.9996) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + t_1) + t_2); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))) + t_1) + t_2); 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[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.9996], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{x + 1}\\
\mathbf{if}\;t\_3 - \sqrt{x} \leq 0.9996:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_3} + t\_1\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\right) + t\_1\right) + t\_2\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.99960000000000004Initial program 85.5%
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
+-commutativeN/A
lower-+.f6486.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6486.5
Applied rewrites86.5%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6441.9
Applied rewrites41.9%
if 0.99960000000000004 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6497.2
Applied rewrites97.2%
Final simplification71.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= y 29000000.0)
(+
(+ (+ (fma 0.5 x (- 1.0 (sqrt x))) (- (sqrt (+ 1.0 y)) (sqrt y))) t_1)
t_2)
(+
t_2
(+
t_1
(fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) (sqrt (+ x 1.0))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (y <= 29000000.0) {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) + (sqrt((1.0 + y)) - sqrt(y))) + t_1) + t_2;
} else {
tmp = t_2 + (t_1 + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + sqrt((x + 1.0))))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (y <= 29000000.0) tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))) + t_1) + t_2); else tmp = Float64(t_2 + Float64(t_1 + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(x + 1.0))))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 29000000.0], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision], N[(t$95$2 + N[(t$95$1 + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;y \leq 29000000:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\right) + t\_1\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(t\_1 + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + \sqrt{x + 1}}\right)\right)\\
\end{array}
\end{array}
if y < 2.9e7Initial program 97.3%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6452.0
Applied rewrites52.0%
if 2.9e7 < y Initial program 85.3%
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
+-commutativeN/A
lower-+.f6486.0
lift-+.f64N/A
+-commutativeN/A
lower-+.f6486.0
Applied rewrites86.0%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6492.1
Applied rewrites92.1%
Final simplification70.7%
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))))
(if (<= (- (sqrt (+ z 1.0)) (sqrt z)) 0.5)
(- (+ t_2 t_1) (+ (sqrt x) (sqrt y)))
(- (+ (+ t_1 1.0) t_2) (+ (sqrt y) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((x + 1.0));
double tmp;
if ((sqrt((z + 1.0)) - sqrt(z)) <= 0.5) {
tmp = (t_2 + t_1) - (sqrt(x) + sqrt(y));
} else {
tmp = ((t_1 + 1.0) + t_2) - (sqrt(y) + sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((x + 1.0d0))
if ((sqrt((z + 1.0d0)) - sqrt(z)) <= 0.5d0) then
tmp = (t_2 + t_1) - (sqrt(x) + sqrt(y))
else
tmp = ((t_1 + 1.0d0) + t_2) - (sqrt(y) + sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((x + 1.0));
double tmp;
if ((Math.sqrt((z + 1.0)) - Math.sqrt(z)) <= 0.5) {
tmp = (t_2 + t_1) - (Math.sqrt(x) + Math.sqrt(y));
} else {
tmp = ((t_1 + 1.0) + t_2) - (Math.sqrt(y) + Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((x + 1.0)) tmp = 0 if (math.sqrt((z + 1.0)) - math.sqrt(z)) <= 0.5: tmp = (t_2 + t_1) - (math.sqrt(x) + math.sqrt(y)) else: tmp = ((t_1 + 1.0) + t_2) - (math.sqrt(y) + math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) <= 0.5) tmp = Float64(Float64(t_2 + t_1) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(t_1 + 1.0) + t_2) - Float64(sqrt(y) + sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((x + 1.0));
tmp = 0.0;
if ((sqrt((z + 1.0)) - sqrt(z)) <= 0.5)
tmp = (t_2 + t_1) - (sqrt(x) + sqrt(y));
else
tmp = ((t_1 + 1.0) + t_2) - (sqrt(y) + sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.5], N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{x + 1}\\
\mathbf{if}\;\sqrt{z + 1} - \sqrt{z} \leq 0.5:\\
\;\;\;\;\left(t\_2 + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.5Initial program 86.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites20.0%
if 0.5 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 98.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites19.4%
Applied rewrites19.5%
Taylor expanded in y around inf
Applied rewrites19.4%
Taylor expanded in z around 0
Applied rewrites19.4%
Final simplification19.7%
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 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 (sqrt((x + 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 = (sqrt((x + 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 (Math.sqrt((x + 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 (math.sqrt((x + 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(Float64(sqrt(Float64(x + 1.0)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(x) + sqrt(y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((x + 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[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{x + 1} + \sqrt{1 + y}\right) - \left(\sqrt{x} + \sqrt{y}\right)
\end{array}
Initial program 91.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites11.0%
Taylor expanded in z around inf
Applied rewrites14.6%
Final simplification14.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (sqrt y) (sqrt (+ x 1.0))) (+ (sqrt y) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt(y) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt(y) + sqrt((x + 1.0d0))) - (sqrt(y) + sqrt(x))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt(y) + Math.sqrt((x + 1.0))) - (Math.sqrt(y) + Math.sqrt(x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt(y) + math.sqrt((x + 1.0))) - (math.sqrt(y) + math.sqrt(x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(y) + sqrt(Float64(x + 1.0))) - Float64(sqrt(y) + sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt(y) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{y} + \sqrt{x + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)
\end{array}
Initial program 91.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites11.0%
Applied rewrites11.1%
Taylor expanded in y around inf
Applied rewrites11.6%
Taylor expanded in y around inf
Applied rewrites7.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (sqrt y))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 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 = sqrt(y)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(y);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(y)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return sqrt(y) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 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[Sqrt[y], $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{y}
\end{array}
Initial program 91.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites11.0%
Applied rewrites11.1%
Taylor expanded in y around inf
Applied rewrites6.9%
(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 2024249
(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))))