
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) (- t_1 (sqrt x)))))
(t_5 (sqrt (+ t 1.0)))
(t_6 (- t_5 (sqrt t))))
(if (<= t_4 5e-7)
(+
(+
(* (sqrt (/ 1.0 z)) 0.5)
(* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5))
t_6)
(if (<= t_4 1.9999999)
(+ (- (+ (/ 1.0 (+ t_3 (sqrt y))) t_1) (sqrt x)) t_6)
(if (<= t_4 2.8)
(-
(+ (+ t_3 (fma (sqrt (/ 1.0 t)) 0.5 (/ 1.0 (+ t_2 (sqrt z))))) t_1)
(+ (sqrt y) (sqrt x)))
(+
(-
(+ (+ (/ 1.0 (+ t_5 (sqrt t))) t_2) t_3)
(+ (+ (sqrt z) (sqrt y)) (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((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double t_5 = sqrt((t + 1.0));
double t_6 = t_5 - sqrt(t);
double tmp;
if (t_4 <= 5e-7) {
tmp = ((sqrt((1.0 / z)) * 0.5) + ((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5)) + t_6;
} else if (t_4 <= 1.9999999) {
tmp = (((1.0 / (t_3 + sqrt(y))) + t_1) - sqrt(x)) + t_6;
} else if (t_4 <= 2.8) {
tmp = ((t_3 + fma(sqrt((1.0 / t)), 0.5, (1.0 / (t_2 + sqrt(z))))) + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = ((((1.0 / (t_5 + sqrt(t))) + t_2) + t_3) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) t_5 = sqrt(Float64(t + 1.0)) t_6 = Float64(t_5 - sqrt(t)) tmp = 0.0 if (t_4 <= 5e-7) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / z)) * 0.5) + Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5)) + t_6); elseif (t_4 <= 1.9999999) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_3 + sqrt(y))) + t_1) - sqrt(x)) + t_6); elseif (t_4 <= 2.8) tmp = Float64(Float64(Float64(t_3 + fma(sqrt(Float64(1.0 / t)), 0.5, Float64(1.0 / Float64(t_2 + sqrt(z))))) + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(t_5 + sqrt(t))) + t_2) + t_3) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(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[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-7], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$4, 1.9999999], N[(N[(N[(N[(1.0 / N[(t$95$3 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$4, 2.8], N[(N[(N[(t$95$3 + N[(N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(t$95$5 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
t_5 := \sqrt{t + 1}\\
t_6 := t\_5 - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\left(\sqrt{\frac{1}{z}} \cdot 0.5 + \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5\right) + t\_6\\
\mathbf{elif}\;t\_4 \leq 1.9999999:\\
\;\;\;\;\left(\left(\frac{1}{t\_3 + \sqrt{y}} + t\_1\right) - \sqrt{x}\right) + t\_6\\
\mathbf{elif}\;t\_4 \leq 2.8:\\
\;\;\;\;\left(\left(t\_3 + \mathsf{fma}\left(\sqrt{\frac{1}{t}}, 0.5, \frac{1}{t\_2 + \sqrt{z}}\right)\right) + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{t\_5 + \sqrt{t}} + t\_2\right) + t\_3\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 4.99999999999999977e-7Initial program 39.8%
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
lower-+.f64N/A
lower-sqrt.f6460.5
Applied rewrites60.5%
Taylor expanded in y around inf
Applied rewrites66.6%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6478.2
Applied rewrites78.2%
if 4.99999999999999977e-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))) < 1.99999989999999994Initial program 94.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6494.7
Applied rewrites94.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6439.0
Applied rewrites39.0%
if 1.99999989999999994 < (+.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))) < 2.7999999999999998Initial program 95.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.6
Applied rewrites95.6%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.2%
if 2.7999999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.9
Applied rewrites99.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites98.6%
Final simplification46.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) (- t_1 (sqrt x)))))
(t_5 (sqrt (+ t 1.0)))
(t_6 (- t_5 (sqrt t))))
(if (<= t_4 5e-7)
(+
(+
(* (sqrt (/ 1.0 z)) 0.5)
(* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5))
t_6)
(if (<= t_4 1.99999998)
(+ (- (+ (/ 1.0 (+ t_3 (sqrt y))) t_1) (sqrt x)) t_6)
(if (<= t_4 2.8)
(- (+ 2.0 (/ 1.0 (+ t_2 (sqrt z)))) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (+ (/ 1.0 (+ t_5 (sqrt t))) t_2) t_3)
(+ (+ (sqrt z) (sqrt y)) (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((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double t_5 = sqrt((t + 1.0));
double t_6 = t_5 - sqrt(t);
double tmp;
if (t_4 <= 5e-7) {
tmp = ((sqrt((1.0 / z)) * 0.5) + ((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5)) + t_6;
} else if (t_4 <= 1.99999998) {
tmp = (((1.0 / (t_3 + sqrt(y))) + t_1) - sqrt(x)) + t_6;
} else if (t_4 <= 2.8) {
tmp = (2.0 + (1.0 / (t_2 + sqrt(z)))) - (sqrt(y) + sqrt(x));
} else {
tmp = ((((1.0 / (t_5 + sqrt(t))) + t_2) + t_3) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = sqrt((z + 1.0d0))
t_3 = sqrt((y + 1.0d0))
t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)))
t_5 = sqrt((t + 1.0d0))
t_6 = t_5 - sqrt(t)
if (t_4 <= 5d-7) then
tmp = ((sqrt((1.0d0 / z)) * 0.5d0) + ((sqrt((1.0d0 / x)) + sqrt((1.0d0 / y))) * 0.5d0)) + t_6
else if (t_4 <= 1.99999998d0) then
tmp = (((1.0d0 / (t_3 + sqrt(y))) + t_1) - sqrt(x)) + t_6
else if (t_4 <= 2.8d0) then
tmp = (2.0d0 + (1.0d0 / (t_2 + sqrt(z)))) - (sqrt(y) + sqrt(x))
else
tmp = ((((1.0d0 / (t_5 + sqrt(t))) + t_2) + t_3) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = Math.sqrt((y + 1.0));
double t_4 = (t_2 - Math.sqrt(z)) + ((t_3 - Math.sqrt(y)) + (t_1 - Math.sqrt(x)));
double t_5 = Math.sqrt((t + 1.0));
double t_6 = t_5 - Math.sqrt(t);
double tmp;
if (t_4 <= 5e-7) {
tmp = ((Math.sqrt((1.0 / z)) * 0.5) + ((Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / y))) * 0.5)) + t_6;
} else if (t_4 <= 1.99999998) {
tmp = (((1.0 / (t_3 + Math.sqrt(y))) + t_1) - Math.sqrt(x)) + t_6;
} else if (t_4 <= 2.8) {
tmp = (2.0 + (1.0 / (t_2 + Math.sqrt(z)))) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((((1.0 / (t_5 + Math.sqrt(t))) + t_2) + t_3) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) t_2 = math.sqrt((z + 1.0)) t_3 = math.sqrt((y + 1.0)) t_4 = (t_2 - math.sqrt(z)) + ((t_3 - math.sqrt(y)) + (t_1 - math.sqrt(x))) t_5 = math.sqrt((t + 1.0)) t_6 = t_5 - math.sqrt(t) tmp = 0 if t_4 <= 5e-7: tmp = ((math.sqrt((1.0 / z)) * 0.5) + ((math.sqrt((1.0 / x)) + math.sqrt((1.0 / y))) * 0.5)) + t_6 elif t_4 <= 1.99999998: tmp = (((1.0 / (t_3 + math.sqrt(y))) + t_1) - math.sqrt(x)) + t_6 elif t_4 <= 2.8: tmp = (2.0 + (1.0 / (t_2 + math.sqrt(z)))) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((((1.0 / (t_5 + math.sqrt(t))) + t_2) + t_3) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) t_5 = sqrt(Float64(t + 1.0)) t_6 = Float64(t_5 - sqrt(t)) tmp = 0.0 if (t_4 <= 5e-7) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / z)) * 0.5) + Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5)) + t_6); elseif (t_4 <= 1.99999998) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_3 + sqrt(y))) + t_1) - sqrt(x)) + t_6); elseif (t_4 <= 2.8) tmp = Float64(Float64(2.0 + Float64(1.0 / Float64(t_2 + sqrt(z)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(t_5 + sqrt(t))) + t_2) + t_3) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
t_2 = sqrt((z + 1.0));
t_3 = sqrt((y + 1.0));
t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
t_5 = sqrt((t + 1.0));
t_6 = t_5 - sqrt(t);
tmp = 0.0;
if (t_4 <= 5e-7)
tmp = ((sqrt((1.0 / z)) * 0.5) + ((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5)) + t_6;
elseif (t_4 <= 1.99999998)
tmp = (((1.0 / (t_3 + sqrt(y))) + t_1) - sqrt(x)) + t_6;
elseif (t_4 <= 2.8)
tmp = (2.0 + (1.0 / (t_2 + sqrt(z)))) - (sqrt(y) + sqrt(x));
else
tmp = ((((1.0 / (t_5 + sqrt(t))) + t_2) + t_3) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-7], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$4, 1.99999998], N[(N[(N[(N[(1.0 / N[(t$95$3 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$4, 2.8], N[(N[(2.0 + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(t$95$5 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
t_5 := \sqrt{t + 1}\\
t_6 := t\_5 - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\left(\sqrt{\frac{1}{z}} \cdot 0.5 + \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5\right) + t\_6\\
\mathbf{elif}\;t\_4 \leq 1.99999998:\\
\;\;\;\;\left(\left(\frac{1}{t\_3 + \sqrt{y}} + t\_1\right) - \sqrt{x}\right) + t\_6\\
\mathbf{elif}\;t\_4 \leq 2.8:\\
\;\;\;\;\left(2 + \frac{1}{t\_2 + \sqrt{z}}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{t\_5 + \sqrt{t}} + t\_2\right) + t\_3\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 4.99999999999999977e-7Initial program 39.8%
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
lower-+.f64N/A
lower-sqrt.f6460.5
Applied rewrites60.5%
Taylor expanded in y around inf
Applied rewrites66.6%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6478.2
Applied rewrites78.2%
if 4.99999999999999977e-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))) < 1.9999999799999999Initial program 94.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6494.8
Applied rewrites94.8%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6438.6
Applied rewrites38.6%
if 1.9999999799999999 < (+.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))) < 2.7999999999999998Initial program 95.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.5
Applied rewrites95.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites30.0%
Taylor expanded in x around 0
Applied rewrites26.6%
Taylor expanded in y around 0
Applied rewrites21.0%
if 2.7999999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.9
Applied rewrites99.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites98.6%
Final simplification43.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (- t_3 (sqrt z)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ t_4 (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_6 5e-7)
(+
(+
(* (sqrt (/ 1.0 z)) 0.5)
(* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5))
t_2)
(if (<= t_6 1.99999998)
(+ (- (+ (/ 1.0 (+ t_5 (sqrt y))) t_1) (sqrt x)) t_2)
(if (<= t_6 2.5)
(- (+ 2.0 (/ 1.0 (+ t_3 (sqrt z)))) (+ (sqrt y) (sqrt x)))
(+ (+ (- (- (+ (fma 0.5 x 1.0) t_5) (sqrt y)) (sqrt x)) t_4) 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 + x));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((z + 1.0));
double t_4 = t_3 - sqrt(z);
double t_5 = sqrt((y + 1.0));
double t_6 = t_4 + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 5e-7) {
tmp = ((sqrt((1.0 / z)) * 0.5) + ((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5)) + t_2;
} else if (t_6 <= 1.99999998) {
tmp = (((1.0 / (t_5 + sqrt(y))) + t_1) - sqrt(x)) + t_2;
} else if (t_6 <= 2.5) {
tmp = (2.0 + (1.0 / (t_3 + sqrt(z)))) - (sqrt(y) + sqrt(x));
} else {
tmp = ((((fma(0.5, x, 1.0) + t_5) - sqrt(y)) - sqrt(x)) + t_4) + 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 + x)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(t_3 - sqrt(z)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(t_4 + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 5e-7) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / z)) * 0.5) + Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5)) + t_2); elseif (t_6 <= 1.99999998) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_5 + sqrt(y))) + t_1) - sqrt(x)) + t_2); elseif (t_6 <= 2.5) tmp = Float64(Float64(2.0 + Float64(1.0 / Float64(t_3 + sqrt(z)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_5) - sqrt(y)) - sqrt(x)) + t_4) + 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 + x), $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[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$4 + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 5e-7], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$6, 1.99999998], N[(N[(N[(N[(1.0 / N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$6, 2.5], N[(N[(2.0 + N[(1.0 / N[(t$95$3 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$5), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $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 + x}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{z + 1}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \sqrt{y + 1}\\
t_6 := t\_4 + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\left(\sqrt{\frac{1}{z}} \cdot 0.5 + \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5\right) + t\_2\\
\mathbf{elif}\;t\_6 \leq 1.99999998:\\
\;\;\;\;\left(\left(\frac{1}{t\_5 + \sqrt{y}} + t\_1\right) - \sqrt{x}\right) + t\_2\\
\mathbf{elif}\;t\_6 \leq 2.5:\\
\;\;\;\;\left(2 + \frac{1}{t\_3 + \sqrt{z}}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_5\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_4\right) + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 4.99999999999999977e-7Initial program 39.8%
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
lower-+.f64N/A
lower-sqrt.f6460.5
Applied rewrites60.5%
Taylor expanded in y around inf
Applied rewrites66.6%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6478.2
Applied rewrites78.2%
if 4.99999999999999977e-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))) < 1.9999999799999999Initial program 94.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6494.8
Applied rewrites94.8%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6438.6
Applied rewrites38.6%
if 1.9999999799999999 < (+.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))) < 2.5Initial program 95.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.5
Applied rewrites95.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites30.0%
Taylor expanded in x around 0
Applied rewrites26.6%
Taylor expanded in y around 0
Applied rewrites21.0%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
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
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6499.5
Applied rewrites99.5%
Final simplification43.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (/ 1.0 (+ t_3 (sqrt z))))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (- t_3 (sqrt z)) (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_6 5e-7)
(fma (sqrt (/ 1.0 x)) 0.5 t_4)
(if (<= t_6 1.99999998)
(+ (- (+ (/ 1.0 (+ t_5 (sqrt y))) t_1) (sqrt x)) t_2)
(if (<= t_6 2.8)
(- (+ 2.0 t_4) (+ (sqrt y) (sqrt x)))
(+
(- (+ (fma 0.5 x t_3) 2.0) (+ (+ (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 + x));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((z + 1.0));
double t_4 = 1.0 / (t_3 + sqrt(z));
double t_5 = sqrt((y + 1.0));
double t_6 = (t_3 - sqrt(z)) + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 5e-7) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_4);
} else if (t_6 <= 1.99999998) {
tmp = (((1.0 / (t_5 + sqrt(y))) + t_1) - sqrt(x)) + t_2;
} else if (t_6 <= 2.8) {
tmp = (2.0 + t_4) - (sqrt(y) + sqrt(x));
} else {
tmp = ((fma(0.5, x, t_3) + 2.0) - ((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 + x)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(1.0 / Float64(t_3 + sqrt(z))) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 5e-7) tmp = fma(sqrt(Float64(1.0 / x)), 0.5, t_4); elseif (t_6 <= 1.99999998) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_5 + sqrt(y))) + t_1) - sqrt(x)) + t_2); elseif (t_6 <= 2.8) tmp = Float64(Float64(2.0 + t_4) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(fma(0.5, x, t_3) + 2.0) - 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 + x), $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[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(1.0 / N[(t$95$3 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 5e-7], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 1.99999998], N[(N[(N[(N[(1.0 / N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], If[LessEqual[t$95$6, 2.8], N[(N[(2.0 + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$3), $MachinePrecision] + 2.0), $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 + x}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{z + 1}\\
t_4 := \frac{1}{t\_3 + \sqrt{z}}\\
t_5 := \sqrt{y + 1}\\
t_6 := \left(t\_3 - \sqrt{z}\right) + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_4\right)\\
\mathbf{elif}\;t\_6 \leq 1.99999998:\\
\;\;\;\;\left(\left(\frac{1}{t\_5 + \sqrt{y}} + t\_1\right) - \sqrt{x}\right) + t\_2\\
\mathbf{elif}\;t\_6 \leq 2.8:\\
\;\;\;\;\left(2 + t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_3\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + t\_2\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 4.99999999999999977e-7Initial program 39.8%
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
+-commutativeN/A
lower-+.f6439.8
Applied rewrites39.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites3.3%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites37.2%
if 4.99999999999999977e-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))) < 1.9999999799999999Initial program 94.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6494.8
Applied rewrites94.8%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6438.6
Applied rewrites38.6%
if 1.9999999799999999 < (+.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))) < 2.7999999999999998Initial program 95.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.5
Applied rewrites95.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites30.0%
Taylor expanded in x around 0
Applied rewrites26.6%
Taylor expanded in y around 0
Applied rewrites21.0%
if 2.7999999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
Applied rewrites96.4%
Final simplification38.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (/ 1.0 (+ t_2 (sqrt z))))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_5 5e-7)
(fma (sqrt (/ 1.0 x)) 0.5 t_3)
(if (<= t_5 1.00005)
(- (+ (fma (sqrt (/ 1.0 y)) 0.5 t_3) t_1) (sqrt x))
(if (<= t_5 2.8)
(- (+ (+ t_4 1.0) t_3) (+ (sqrt y) (sqrt x)))
(+
(- (+ (fma 0.5 x t_2) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(- (sqrt (+ t 1.0)) (sqrt t))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = 1.0 / (t_2 + sqrt(z));
double t_4 = sqrt((y + 1.0));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_5 <= 5e-7) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_3);
} else if (t_5 <= 1.00005) {
tmp = (fma(sqrt((1.0 / y)), 0.5, t_3) + t_1) - sqrt(x);
} else if (t_5 <= 2.8) {
tmp = ((t_4 + 1.0) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = ((fma(0.5, x, t_2) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(1.0 / Float64(t_2 + sqrt(z))) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_5 <= 5e-7) tmp = fma(sqrt(Float64(1.0 / x)), 0.5, t_3); elseif (t_5 <= 1.00005) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, t_3) + t_1) - sqrt(x)); elseif (t_5 <= 2.8) tmp = Float64(Float64(Float64(t_4 + 1.0) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(fma(0.5, x, t_2) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-7], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 1.00005], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.8], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$2), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \frac{1}{t\_2 + \sqrt{z}}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_3\right)\\
\mathbf{elif}\;t\_5 \leq 1.00005:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, t\_3\right) + t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.8:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_2\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\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))) < 4.99999999999999977e-7Initial program 39.8%
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
+-commutativeN/A
lower-+.f6439.8
Applied rewrites39.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites3.3%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites37.2%
if 4.99999999999999977e-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))) < 1.00005000000000011Initial program 94.0%
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-+.f6495.7
Applied rewrites95.7%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites7.1%
Taylor expanded in y around inf
Applied rewrites19.5%
if 1.00005000000000011 < (+.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))) < 2.7999999999999998Initial program 95.8%
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
+-commutativeN/A
lower-+.f6495.9
Applied rewrites95.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites29.2%
Taylor expanded in x around 0
Applied rewrites26.2%
if 2.7999999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
Applied rewrites96.4%
Final simplification32.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (+ (sqrt y) (sqrt x)))
(t_4 (/ 1.0 (+ t_2 (sqrt z))))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (- t_2 (sqrt z)) (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_6 5e-7)
(fma (sqrt (/ 1.0 x)) 0.5 t_4)
(if (<= t_6 1.0)
(- (+ (/ 1.0 (+ (sqrt z) 1.0)) t_1) (sqrt x))
(if (<= t_6 1.99999998) (- (+ t_5 t_1) t_3) (- (+ 2.0 t_4) t_3))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt(y) + sqrt(x);
double t_4 = 1.0 / (t_2 + sqrt(z));
double t_5 = sqrt((y + 1.0));
double t_6 = (t_2 - sqrt(z)) + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 5e-7) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_4);
} else if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(z) + 1.0)) + t_1) - sqrt(x);
} else if (t_6 <= 1.99999998) {
tmp = (t_5 + t_1) - t_3;
} else {
tmp = (2.0 + t_4) - t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(y) + sqrt(x)) t_4 = Float64(1.0 / Float64(t_2 + sqrt(z))) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 5e-7) tmp = fma(sqrt(Float64(1.0 / x)), 0.5, t_4); elseif (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(z) + 1.0)) + t_1) - sqrt(x)); elseif (t_6 <= 1.99999998) tmp = Float64(Float64(t_5 + t_1) - t_3); else tmp = Float64(Float64(2.0 + t_4) - 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[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 5e-7], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.99999998], N[(N[(t$95$5 + t$95$1), $MachinePrecision] - t$95$3), $MachinePrecision], N[(N[(2.0 + t$95$4), $MachinePrecision] - t$95$3), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{y} + \sqrt{x}\\
t_4 := \frac{1}{t\_2 + \sqrt{z}}\\
t_5 := \sqrt{y + 1}\\
t_6 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_4\right)\\
\mathbf{elif}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{z} + 1} + t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_6 \leq 1.99999998:\\
\;\;\;\;\left(t\_5 + t\_1\right) - t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(2 + t\_4\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))) < 4.99999999999999977e-7Initial program 39.8%
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
+-commutativeN/A
lower-+.f6439.8
Applied rewrites39.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites3.3%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites37.2%
if 4.99999999999999977e-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 95.0%
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-+.f6495.5
Applied rewrites95.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites7.2%
Taylor expanded in y around inf
Applied rewrites16.5%
Taylor expanded in z around 0
Applied rewrites16.0%
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))) < 1.9999999799999999Initial program 92.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.1
Applied rewrites3.1%
Taylor expanded in z around inf
Applied rewrites20.1%
if 1.9999999799999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.4
Applied rewrites96.4%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites37.1%
Taylor expanded in x around 0
Applied rewrites34.2%
Taylor expanded in y around 0
Applied rewrites29.1%
Final simplification25.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (+ (sqrt y) (sqrt x)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_2 (sqrt z)) (+ (- t_4 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_5 5e-7)
(fma (sqrt (/ 1.0 x)) 0.5 (/ 1.0 (+ t_2 (sqrt z))))
(if (<= t_5 1.0)
(- (+ (/ 1.0 (+ (sqrt z) 1.0)) t_1) (sqrt x))
(if (<= t_5 2.5) (- (+ t_4 1.0) t_3) (- (+ (+ t_1 1.0) t_4) t_3))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = sqrt(y) + sqrt(x);
double t_4 = sqrt((y + 1.0));
double t_5 = (t_2 - sqrt(z)) + ((t_4 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_5 <= 5e-7) {
tmp = fma(sqrt((1.0 / x)), 0.5, (1.0 / (t_2 + sqrt(z))));
} else if (t_5 <= 1.0) {
tmp = ((1.0 / (sqrt(z) + 1.0)) + t_1) - sqrt(x);
} else if (t_5 <= 2.5) {
tmp = (t_4 + 1.0) - t_3;
} else {
tmp = ((t_1 + 1.0) + t_4) - t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(sqrt(y) + sqrt(x)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_5 <= 5e-7) tmp = fma(sqrt(Float64(1.0 / x)), 0.5, Float64(1.0 / Float64(t_2 + sqrt(z)))); elseif (t_5 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(z) + 1.0)) + t_1) - sqrt(x)); elseif (t_5 <= 2.5) tmp = Float64(Float64(t_4 + 1.0) - t_3); else tmp = Float64(Float64(Float64(t_1 + 1.0) + t_4) - 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[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-7], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.5], N[(N[(t$95$4 + 1.0), $MachinePrecision] - t$95$3), $MachinePrecision], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$4), $MachinePrecision] - t$95$3), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := \sqrt{y} + \sqrt{x}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, \frac{1}{t\_2 + \sqrt{z}}\right)\\
\mathbf{elif}\;t\_5 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{z} + 1} + t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_5 \leq 2.5:\\
\;\;\;\;\left(t\_4 + 1\right) - t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_4\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))) < 4.99999999999999977e-7Initial program 39.8%
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
+-commutativeN/A
lower-+.f6439.8
Applied rewrites39.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites3.3%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites37.2%
if 4.99999999999999977e-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 95.0%
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-+.f6495.5
Applied rewrites95.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites7.2%
Taylor expanded in y around inf
Applied rewrites16.5%
Taylor expanded in z around 0
Applied rewrites16.0%
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))) < 2.5Initial program 95.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.0
Applied rewrites96.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.5%
Taylor expanded in x around 0
Applied rewrites25.6%
Taylor expanded in z around inf
Applied rewrites21.8%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.1
Applied rewrites62.1%
Taylor expanded in z around inf
Applied rewrites1.9%
Taylor expanded in y around inf
Applied rewrites3.4%
Taylor expanded in z around 0
Applied rewrites59.9%
Final simplification26.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ t 1.0)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (/ 1.0 (+ t_3 (sqrt z))))
(t_5
(+
(- t_2 (sqrt t))
(+
(- t_3 (sqrt z))
(+ (- t_1 (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x)))))))
(if (<= t_5 5e-7)
(fma (sqrt (/ 1.0 x)) 0.5 t_4)
(if (<= t_5 3.0)
(+ (- (+ t_1 t_4) (+ (sqrt y) (sqrt x))) 1.0)
(+
(- (+ t_2 t_3) (+ (+ (+ (sqrt z) (sqrt y)) (sqrt x)) (sqrt t)))
2.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((t + 1.0));
double t_3 = sqrt((z + 1.0));
double t_4 = 1.0 / (t_3 + sqrt(z));
double t_5 = (t_2 - sqrt(t)) + ((t_3 - sqrt(z)) + ((t_1 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x))));
double tmp;
if (t_5 <= 5e-7) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_4);
} else if (t_5 <= 3.0) {
tmp = ((t_1 + t_4) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = ((t_2 + t_3) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 2.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(t + 1.0)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(1.0 / Float64(t_3 + sqrt(z))) t_5 = Float64(Float64(t_2 - sqrt(t)) + Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_1 - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x))))) tmp = 0.0 if (t_5 <= 5e-7) tmp = fma(sqrt(Float64(1.0 / x)), 0.5, t_4); elseif (t_5 <= 3.0) tmp = Float64(Float64(Float64(t_1 + t_4) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(Float64(t_2 + t_3) - Float64(Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 2.0); 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[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(1.0 / N[(t$95$3 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 5e-7], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision], If[LessEqual[t$95$5, 3.0], N[(N[(N[(t$95$1 + t$95$4), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$3), $MachinePrecision] - N[(N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{t + 1}\\
t_3 := \sqrt{z + 1}\\
t_4 := \frac{1}{t\_3 + \sqrt{z}}\\
t_5 := \left(t\_2 - \sqrt{t}\right) + \left(\left(t\_3 - \sqrt{z}\right) + \left(\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\right)\right)\\
\mathbf{if}\;t\_5 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_4\right)\\
\mathbf{elif}\;t\_5 \leq 3:\\
\;\;\;\;\left(\left(t\_1 + t\_4\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_3\right) - \left(\left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right) + \sqrt{t}\right)\right) + 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))) < 4.99999999999999977e-7Initial program 4.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f644.9
Applied rewrites4.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites3.4%
Taylor expanded in y around inf
Applied rewrites3.4%
Taylor expanded in x around inf
Applied rewrites54.8%
if 4.99999999999999977e-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))) < 3Initial program 95.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.3
Applied rewrites96.3%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites23.6%
Taylor expanded in x around 0
Applied rewrites32.6%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 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
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6421.5
Applied rewrites21.5%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites92.2%
Taylor expanded in x around 0
Applied rewrites92.2%
Final simplification37.7%
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 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ t_3 (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_6 1.00005)
(+
(- t_4 (sqrt t))
(+ (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ t_1 (sqrt x)))) t_3))
(if (<= t_6 2.8)
(-
(+ (+ t_5 (fma (sqrt (/ 1.0 t)) 0.5 (/ 1.0 (+ t_2 (sqrt z))))) t_1)
(+ (sqrt y) (sqrt x)))
(+
(-
(+ (+ (/ 1.0 (+ t_4 (sqrt t))) t_2) t_5)
(+ (+ (sqrt z) (sqrt y)) (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((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((t + 1.0));
double t_5 = sqrt((y + 1.0));
double t_6 = t_3 + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 1.00005) {
tmp = (t_4 - sqrt(t)) + (fma(sqrt((1.0 / y)), 0.5, (1.0 / (t_1 + sqrt(x)))) + t_3);
} else if (t_6 <= 2.8) {
tmp = ((t_5 + fma(sqrt((1.0 / t)), 0.5, (1.0 / (t_2 + sqrt(z))))) + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = ((((1.0 / (t_4 + sqrt(t))) + t_2) + t_5) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(t + 1.0)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(t_3 + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 1.00005) tmp = Float64(Float64(t_4 - sqrt(t)) + Float64(fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(t_1 + sqrt(x)))) + t_3)); elseif (t_6 <= 2.8) tmp = Float64(Float64(Float64(t_5 + fma(sqrt(Float64(1.0 / t)), 0.5, Float64(1.0 / Float64(t_2 + sqrt(z))))) + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(t))) + t_2) + t_5) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(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[Sqrt[N[(1.0 + x), $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[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.00005], N[(N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.8], N[(N[(N[(t$95$5 + N[(N[Sqrt[N[(1.0 / t), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{t + 1}\\
t_5 := \sqrt{y + 1}\\
t_6 := t\_3 + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 1.00005:\\
\;\;\;\;\left(t\_4 - \sqrt{t}\right) + \left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{t\_1 + \sqrt{x}}\right) + t\_3\right)\\
\mathbf{elif}\;t\_6 \leq 2.8:\\
\;\;\;\;\left(\left(t\_5 + \mathsf{fma}\left(\sqrt{\frac{1}{t}}, 0.5, \frac{1}{t\_2 + \sqrt{z}}\right)\right) + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{t\_4 + \sqrt{t}} + t\_2\right) + t\_5\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 78.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f6478.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6478.4
Applied rewrites78.4%
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
lower-+.f64N/A
lower-sqrt.f6463.0
Applied rewrites63.0%
if 1.00005000000000011 < (+.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))) < 2.7999999999999998Initial program 95.8%
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
+-commutativeN/A
lower-+.f6495.9
Applied rewrites95.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.9%
if 2.7999999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6499.9
Applied rewrites99.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites98.6%
Final simplification52.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (- t_1 (sqrt x)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ z 1.0)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (- t_4 (sqrt z)) (+ (- t_5 (sqrt y)) t_2))))
(if (<= t_6 5e-7)
(+
(+
(* (sqrt (/ 1.0 z)) 0.5)
(* (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))) 0.5))
t_3)
(if (<= t_6 1.99999999999)
(+ (- (+ (/ 1.0 (+ t_5 (sqrt y))) t_1) (sqrt x)) t_3)
(+
(+ (/ (- (+ z 1.0) z) (+ t_4 (sqrt z))) (+ (- 1.0 (sqrt y)) t_2))
t_3)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = t_1 - sqrt(x);
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((z + 1.0));
double t_5 = sqrt((y + 1.0));
double t_6 = (t_4 - sqrt(z)) + ((t_5 - sqrt(y)) + t_2);
double tmp;
if (t_6 <= 5e-7) {
tmp = ((sqrt((1.0 / z)) * 0.5) + ((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5)) + t_3;
} else if (t_6 <= 1.99999999999) {
tmp = (((1.0 / (t_5 + sqrt(y))) + t_1) - sqrt(x)) + t_3;
} else {
tmp = ((((z + 1.0) - z) / (t_4 + sqrt(z))) + ((1.0 - sqrt(y)) + t_2)) + t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = t_1 - sqrt(x)
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
t_4 = sqrt((z + 1.0d0))
t_5 = sqrt((y + 1.0d0))
t_6 = (t_4 - sqrt(z)) + ((t_5 - sqrt(y)) + t_2)
if (t_6 <= 5d-7) then
tmp = ((sqrt((1.0d0 / z)) * 0.5d0) + ((sqrt((1.0d0 / x)) + sqrt((1.0d0 / y))) * 0.5d0)) + t_3
else if (t_6 <= 1.99999999999d0) then
tmp = (((1.0d0 / (t_5 + sqrt(y))) + t_1) - sqrt(x)) + t_3
else
tmp = ((((z + 1.0d0) - z) / (t_4 + sqrt(z))) + ((1.0d0 - sqrt(y)) + t_2)) + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double t_2 = t_1 - Math.sqrt(x);
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_4 = Math.sqrt((z + 1.0));
double t_5 = Math.sqrt((y + 1.0));
double t_6 = (t_4 - Math.sqrt(z)) + ((t_5 - Math.sqrt(y)) + t_2);
double tmp;
if (t_6 <= 5e-7) {
tmp = ((Math.sqrt((1.0 / z)) * 0.5) + ((Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / y))) * 0.5)) + t_3;
} else if (t_6 <= 1.99999999999) {
tmp = (((1.0 / (t_5 + Math.sqrt(y))) + t_1) - Math.sqrt(x)) + t_3;
} else {
tmp = ((((z + 1.0) - z) / (t_4 + Math.sqrt(z))) + ((1.0 - Math.sqrt(y)) + t_2)) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) t_2 = t_1 - math.sqrt(x) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) t_4 = math.sqrt((z + 1.0)) t_5 = math.sqrt((y + 1.0)) t_6 = (t_4 - math.sqrt(z)) + ((t_5 - math.sqrt(y)) + t_2) tmp = 0 if t_6 <= 5e-7: tmp = ((math.sqrt((1.0 / z)) * 0.5) + ((math.sqrt((1.0 / x)) + math.sqrt((1.0 / y))) * 0.5)) + t_3 elif t_6 <= 1.99999999999: tmp = (((1.0 / (t_5 + math.sqrt(y))) + t_1) - math.sqrt(x)) + t_3 else: tmp = ((((z + 1.0) - z) / (t_4 + math.sqrt(z))) + ((1.0 - math.sqrt(y)) + t_2)) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = Float64(t_1 - sqrt(x)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(z + 1.0)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(t_5 - sqrt(y)) + t_2)) tmp = 0.0 if (t_6 <= 5e-7) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / z)) * 0.5) + Float64(Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y))) * 0.5)) + t_3); elseif (t_6 <= 1.99999999999) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_5 + sqrt(y))) + t_1) - sqrt(x)) + t_3); else tmp = Float64(Float64(Float64(Float64(Float64(z + 1.0) - z) / Float64(t_4 + sqrt(z))) + Float64(Float64(1.0 - sqrt(y)) + t_2)) + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
t_2 = t_1 - sqrt(x);
t_3 = sqrt((t + 1.0)) - sqrt(t);
t_4 = sqrt((z + 1.0));
t_5 = sqrt((y + 1.0));
t_6 = (t_4 - sqrt(z)) + ((t_5 - sqrt(y)) + t_2);
tmp = 0.0;
if (t_6 <= 5e-7)
tmp = ((sqrt((1.0 / z)) * 0.5) + ((sqrt((1.0 / x)) + sqrt((1.0 / y))) * 0.5)) + t_3;
elseif (t_6 <= 1.99999999999)
tmp = (((1.0 / (t_5 + sqrt(y))) + t_1) - sqrt(x)) + t_3;
else
tmp = ((((z + 1.0) - z) / (t_4 + sqrt(z))) + ((1.0 - sqrt(y)) + t_2)) + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[x], $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[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 5e-7], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$6, 1.99999999999], N[(N[(N[(N[(1.0 / N[(t$95$5 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(t$95$4 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$2), $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{1 + x}\\
t_2 := t\_1 - \sqrt{x}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{z + 1}\\
t_5 := \sqrt{y + 1}\\
t_6 := \left(t\_4 - \sqrt{z}\right) + \left(\left(t\_5 - \sqrt{y}\right) + t\_2\right)\\
\mathbf{if}\;t\_6 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\left(\sqrt{\frac{1}{z}} \cdot 0.5 + \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right) \cdot 0.5\right) + t\_3\\
\mathbf{elif}\;t\_6 \leq 1.99999999999:\\
\;\;\;\;\left(\left(\frac{1}{t\_5 + \sqrt{y}} + t\_1\right) - \sqrt{x}\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\left(z + 1\right) - z}{t\_4 + \sqrt{z}} + \left(\left(1 - \sqrt{y}\right) + t\_2\right)\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))) < 4.99999999999999977e-7Initial program 39.8%
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
lower-+.f64N/A
lower-sqrt.f6460.5
Applied rewrites60.5%
Taylor expanded in y around inf
Applied rewrites66.6%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6478.2
Applied rewrites78.2%
if 4.99999999999999977e-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))) < 1.99999999999Initial program 94.8%
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
+-commutativeN/A
lower-+.f6495.0
Applied rewrites95.0%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6438.0
Applied rewrites38.0%
if 1.99999999999 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.3%
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-+.f6496.3
Applied rewrites96.3%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6469.2
Applied rewrites69.2%
Final simplification58.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ t_3 (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ t_1 (sqrt x))) t_3) t_4)
(if (<= t_6 2.5)
(- (+ (+ t_5 1.0) (/ 1.0 (+ t_2 (sqrt z)))) (+ (sqrt y) (sqrt x)))
(+ (+ (- (- (+ (fma 0.5 x 1.0) t_5) (sqrt y)) (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((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((y + 1.0));
double t_6 = t_3 + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (t_1 + sqrt(x))) + t_3) + t_4;
} else if (t_6 <= 2.5) {
tmp = ((t_5 + 1.0) + (1.0 / (t_2 + sqrt(z)))) - (sqrt(y) + sqrt(x));
} else {
tmp = ((((fma(0.5, x, 1.0) + t_5) - sqrt(y)) - 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(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(t_3 + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(x))) + t_3) + t_4); elseif (t_6 <= 2.5) tmp = Float64(Float64(Float64(t_5 + 1.0) + Float64(1.0 / Float64(t_2 + sqrt(z)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_5) - sqrt(y)) - 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[(1.0 + x), $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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.5], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$5), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{y + 1}\\
t_6 := t\_3 + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{t\_1 + \sqrt{x}} + t\_3\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.5:\\
\;\;\;\;\left(\left(t\_5 + 1\right) + \frac{1}{t\_2 + \sqrt{z}}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_5\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_3\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))) < 1Initial program 78.5%
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-+.f6478.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6478.7
Applied rewrites78.7%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6462.0
Applied rewrites62.0%
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))) < 2.5Initial program 95.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.0
Applied rewrites96.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.5%
Taylor expanded in x around 0
Applied rewrites25.6%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
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
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6499.5
Applied rewrites99.5%
Final simplification50.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (- t_5 (sqrt y)))
(t_7 (+ t_3 (+ t_6 (- t_1 (sqrt x))))))
(if (<= t_7 1.0)
(+ (+ (/ 1.0 (+ t_1 (sqrt x))) t_3) t_4)
(if (<= t_7 2.5)
(- (+ (+ t_5 1.0) (/ 1.0 (+ t_2 (sqrt z)))) (+ (sqrt y) (sqrt x)))
(+ (+ (+ (- 1.0 (sqrt x)) t_6) 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((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((y + 1.0));
double t_6 = t_5 - sqrt(y);
double t_7 = t_3 + (t_6 + (t_1 - sqrt(x)));
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (t_1 + sqrt(x))) + t_3) + t_4;
} else if (t_7 <= 2.5) {
tmp = ((t_5 + 1.0) + (1.0 / (t_2 + sqrt(z)))) - (sqrt(y) + sqrt(x));
} else {
tmp = (((1.0 - sqrt(x)) + t_6) + t_3) + t_4;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = sqrt((z + 1.0d0))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((t + 1.0d0)) - sqrt(t)
t_5 = sqrt((y + 1.0d0))
t_6 = t_5 - sqrt(y)
t_7 = t_3 + (t_6 + (t_1 - sqrt(x)))
if (t_7 <= 1.0d0) then
tmp = ((1.0d0 / (t_1 + sqrt(x))) + t_3) + t_4
else if (t_7 <= 2.5d0) then
tmp = ((t_5 + 1.0d0) + (1.0d0 / (t_2 + sqrt(z)))) - (sqrt(y) + sqrt(x))
else
tmp = (((1.0d0 - sqrt(x)) + t_6) + t_3) + t_4
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_5 = Math.sqrt((y + 1.0));
double t_6 = t_5 - Math.sqrt(y);
double t_7 = t_3 + (t_6 + (t_1 - Math.sqrt(x)));
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (t_1 + Math.sqrt(x))) + t_3) + t_4;
} else if (t_7 <= 2.5) {
tmp = ((t_5 + 1.0) + (1.0 / (t_2 + Math.sqrt(z)))) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (((1.0 - Math.sqrt(x)) + t_6) + t_3) + t_4;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) t_2 = math.sqrt((z + 1.0)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((t + 1.0)) - math.sqrt(t) t_5 = math.sqrt((y + 1.0)) t_6 = t_5 - math.sqrt(y) t_7 = t_3 + (t_6 + (t_1 - math.sqrt(x))) tmp = 0 if t_7 <= 1.0: tmp = ((1.0 / (t_1 + math.sqrt(x))) + t_3) + t_4 elif t_7 <= 2.5: tmp = ((t_5 + 1.0) + (1.0 / (t_2 + math.sqrt(z)))) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (((1.0 - math.sqrt(x)) + t_6) + 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(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(t_5 - sqrt(y)) t_7 = Float64(t_3 + Float64(t_6 + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(x))) + t_3) + t_4); elseif (t_7 <= 2.5) tmp = Float64(Float64(Float64(t_5 + 1.0) + Float64(1.0 / Float64(t_2 + sqrt(z)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_6) + t_3) + t_4); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
t_2 = sqrt((z + 1.0));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((t + 1.0)) - sqrt(t);
t_5 = sqrt((y + 1.0));
t_6 = t_5 - sqrt(y);
t_7 = t_3 + (t_6 + (t_1 - sqrt(x)));
tmp = 0.0;
if (t_7 <= 1.0)
tmp = ((1.0 / (t_1 + sqrt(x))) + t_3) + t_4;
elseif (t_7 <= 2.5)
tmp = ((t_5 + 1.0) + (1.0 / (t_2 + sqrt(z)))) - (sqrt(y) + sqrt(x));
else
tmp = (((1.0 - sqrt(x)) + t_6) + t_3) + t_4;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$3 + N[(t$95$6 + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$7, 2.5], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{y + 1}\\
t_6 := t\_5 - \sqrt{y}\\
t_7 := t\_3 + \left(t\_6 + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;\left(\frac{1}{t\_1 + \sqrt{x}} + t\_3\right) + t\_4\\
\mathbf{elif}\;t\_7 \leq 2.5:\\
\;\;\;\;\left(\left(t\_5 + 1\right) + \frac{1}{t\_2 + \sqrt{z}}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_6\right) + t\_3\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))) < 1Initial program 78.5%
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-+.f6478.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6478.7
Applied rewrites78.7%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6462.0
Applied rewrites62.0%
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))) < 2.5Initial program 95.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.0
Applied rewrites96.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.5%
Taylor expanded in x around 0
Applied rewrites25.6%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6498.3
Applied rewrites98.3%
Final simplification49.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (+ (sqrt y) (sqrt x)))
(t_5 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_6 (sqrt (+ y 1.0)))
(t_7 (+ t_3 (+ (- t_6 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_7 1.0)
(+ (+ (/ 1.0 (+ t_1 (sqrt x))) t_3) t_5)
(if (<= t_7 2.8)
(- (+ (+ t_6 1.0) (/ 1.0 (+ t_2 (sqrt z)))) t_4)
(+ (- (- (+ t_6 t_2) t_4) (- (sqrt z) 1.0)) t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt(y) + sqrt(x);
double t_5 = sqrt((t + 1.0)) - sqrt(t);
double t_6 = sqrt((y + 1.0));
double t_7 = t_3 + ((t_6 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (t_1 + sqrt(x))) + t_3) + t_5;
} else if (t_7 <= 2.8) {
tmp = ((t_6 + 1.0) + (1.0 / (t_2 + sqrt(z)))) - t_4;
} else {
tmp = (((t_6 + t_2) - t_4) - (sqrt(z) - 1.0)) + t_5;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = sqrt((z + 1.0d0))
t_3 = t_2 - sqrt(z)
t_4 = sqrt(y) + sqrt(x)
t_5 = sqrt((t + 1.0d0)) - sqrt(t)
t_6 = sqrt((y + 1.0d0))
t_7 = t_3 + ((t_6 - sqrt(y)) + (t_1 - sqrt(x)))
if (t_7 <= 1.0d0) then
tmp = ((1.0d0 / (t_1 + sqrt(x))) + t_3) + t_5
else if (t_7 <= 2.8d0) then
tmp = ((t_6 + 1.0d0) + (1.0d0 / (t_2 + sqrt(z)))) - t_4
else
tmp = (((t_6 + t_2) - t_4) - (sqrt(z) - 1.0d0)) + t_5
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt(y) + Math.sqrt(x);
double t_5 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_6 = Math.sqrt((y + 1.0));
double t_7 = t_3 + ((t_6 - Math.sqrt(y)) + (t_1 - Math.sqrt(x)));
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (t_1 + Math.sqrt(x))) + t_3) + t_5;
} else if (t_7 <= 2.8) {
tmp = ((t_6 + 1.0) + (1.0 / (t_2 + Math.sqrt(z)))) - t_4;
} else {
tmp = (((t_6 + t_2) - t_4) - (Math.sqrt(z) - 1.0)) + t_5;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) t_2 = math.sqrt((z + 1.0)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt(y) + math.sqrt(x) t_5 = math.sqrt((t + 1.0)) - math.sqrt(t) t_6 = math.sqrt((y + 1.0)) t_7 = t_3 + ((t_6 - math.sqrt(y)) + (t_1 - math.sqrt(x))) tmp = 0 if t_7 <= 1.0: tmp = ((1.0 / (t_1 + math.sqrt(x))) + t_3) + t_5 elif t_7 <= 2.8: tmp = ((t_6 + 1.0) + (1.0 / (t_2 + math.sqrt(z)))) - t_4 else: tmp = (((t_6 + t_2) - t_4) - (math.sqrt(z) - 1.0)) + t_5 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(y) + sqrt(x)) t_5 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_6 = sqrt(Float64(y + 1.0)) t_7 = Float64(t_3 + Float64(Float64(t_6 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(x))) + t_3) + t_5); elseif (t_7 <= 2.8) tmp = Float64(Float64(Float64(t_6 + 1.0) + Float64(1.0 / Float64(t_2 + sqrt(z)))) - t_4); else tmp = Float64(Float64(Float64(Float64(t_6 + t_2) - t_4) - Float64(sqrt(z) - 1.0)) + t_5); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
t_2 = sqrt((z + 1.0));
t_3 = t_2 - sqrt(z);
t_4 = sqrt(y) + sqrt(x);
t_5 = sqrt((t + 1.0)) - sqrt(t);
t_6 = sqrt((y + 1.0));
t_7 = t_3 + ((t_6 - sqrt(y)) + (t_1 - sqrt(x)));
tmp = 0.0;
if (t_7 <= 1.0)
tmp = ((1.0 / (t_1 + sqrt(x))) + t_3) + t_5;
elseif (t_7 <= 2.8)
tmp = ((t_6 + 1.0) + (1.0 / (t_2 + sqrt(z)))) - t_4;
else
tmp = (((t_6 + t_2) - t_4) - (sqrt(z) - 1.0)) + t_5;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $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[(N[Sqrt[y], $MachinePrecision] + 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[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(t$95$3 + N[(N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$7, 2.8], N[(N[(N[(t$95$6 + 1.0), $MachinePrecision] + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision], N[(N[(N[(N[(t$95$6 + t$95$2), $MachinePrecision] - t$95$4), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{y} + \sqrt{x}\\
t_5 := \sqrt{t + 1} - \sqrt{t}\\
t_6 := \sqrt{y + 1}\\
t_7 := t\_3 + \left(\left(t\_6 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;\left(\frac{1}{t\_1 + \sqrt{x}} + t\_3\right) + t\_5\\
\mathbf{elif}\;t\_7 \leq 2.8:\\
\;\;\;\;\left(\left(t\_6 + 1\right) + \frac{1}{t\_2 + \sqrt{z}}\right) - t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_6 + t\_2\right) - t\_4\right) - \left(\sqrt{z} - 1\right)\right) + t\_5\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 78.5%
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-+.f6478.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6478.7
Applied rewrites78.7%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6462.0
Applied rewrites62.0%
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))) < 2.7999999999999998Initial program 95.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.0
Applied rewrites96.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.5%
Taylor expanded in x around 0
Applied rewrites25.6%
if 2.7999999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
associate-+r+N/A
associate--r+N/A
associate-+l-N/A
lower--.f64N/A
Applied rewrites98.3%
Final simplification49.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ t_3 (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ t_1 (sqrt x))) t_3) t_4)
(if (<= t_6 2.8)
(- (+ (+ t_5 1.0) (/ 1.0 (+ t_2 (sqrt z)))) (+ (sqrt y) (sqrt x)))
(+
(- (+ (fma 0.5 x t_2) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
t_4)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((y + 1.0));
double t_6 = t_3 + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (t_1 + sqrt(x))) + t_3) + t_4;
} else if (t_6 <= 2.8) {
tmp = ((t_5 + 1.0) + (1.0 / (t_2 + sqrt(z)))) - (sqrt(y) + sqrt(x));
} else {
tmp = ((fma(0.5, x, t_2) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + t_4;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(t_3 + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(t_1 + sqrt(x))) + t_3) + t_4); elseif (t_6 <= 2.8) tmp = Float64(Float64(Float64(t_5 + 1.0) + Float64(1.0 / Float64(t_2 + sqrt(z)))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(fma(0.5, x, t_2) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 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[(1.0 + x), $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[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(t$95$1 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.8], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$2), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $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{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{y + 1}\\
t_6 := t\_3 + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{t\_1 + \sqrt{x}} + t\_3\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.8:\\
\;\;\;\;\left(\left(t\_5 + 1\right) + \frac{1}{t\_2 + \sqrt{z}}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_2\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\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))) < 1Initial program 78.5%
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-+.f6478.7
lift-+.f64N/A
+-commutativeN/A
lower-+.f6478.7
Applied rewrites78.7%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6462.0
Applied rewrites62.0%
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))) < 2.7999999999999998Initial program 95.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.0
Applied rewrites96.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.5%
Taylor expanded in x around 0
Applied rewrites25.6%
if 2.7999999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
Applied rewrites96.4%
Final simplification49.7%
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 (+ z 1.0)))
(t_2 (/ 1.0 (+ t_1 (sqrt z))))
(t_3 (sqrt (+ y 1.0)))
(t_4
(+
(- t_1 (sqrt z))
(+ (- t_3 (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x))))))
(if (<= t_4 5e-7)
(fma (sqrt (/ 1.0 x)) 0.5 t_2)
(if (<= t_4 2.8)
(+ (- (+ t_3 t_2) (+ (sqrt y) (sqrt x))) 1.0)
(+
(- (+ (fma 0.5 x t_1) 2.0) (+ (+ (sqrt z) (sqrt y)) (sqrt x)))
(- (sqrt (+ t 1.0)) (sqrt t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = 1.0 / (t_1 + sqrt(z));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_1 - sqrt(z)) + ((t_3 - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x)));
double tmp;
if (t_4 <= 5e-7) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_2);
} else if (t_4 <= 2.8) {
tmp = ((t_3 + t_2) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = ((fma(0.5, x, t_1) + 2.0) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(1.0 / Float64(t_1 + sqrt(z))) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_1 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x)))) tmp = 0.0 if (t_4 <= 5e-7) tmp = fma(sqrt(Float64(1.0 / x)), 0.5, t_2); elseif (t_4 <= 2.8) tmp = Float64(Float64(Float64(t_3 + t_2) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(Float64(fma(0.5, x, t_1) + 2.0) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 5e-7], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision], If[LessEqual[t$95$4, 2.8], N[(N[(N[(t$95$3 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(N[(0.5 * x + t$95$1), $MachinePrecision] + 2.0), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \frac{1}{t\_1 + \sqrt{z}}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(t\_1 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_2\right)\\
\mathbf{elif}\;t\_4 \leq 2.8:\\
\;\;\;\;\left(\left(t\_3 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, t\_1\right) + 2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\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))) < 4.99999999999999977e-7Initial program 39.8%
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
+-commutativeN/A
lower-+.f6439.8
Applied rewrites39.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites3.3%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites37.2%
if 4.99999999999999977e-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))) < 2.7999999999999998Initial program 95.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.8
Applied rewrites95.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites19.5%
Taylor expanded in x around 0
Applied rewrites27.0%
if 2.7999999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in x around 0
lower--.f64N/A
associate-+r+N/A
+-commutativeN/A
associate-+r+N/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites99.5%
Taylor expanded in y around 0
Applied rewrites96.4%
Final simplification35.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt y) (sqrt x)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ y 1.0)))
(t_4
(+
(- (sqrt (+ z 1.0)) (sqrt z))
(+ (- t_3 (sqrt y)) (- t_2 (sqrt x))))))
(if (<= t_4 1.0)
(- (+ (/ 1.0 (+ (sqrt z) 1.0)) t_2) (sqrt x))
(if (<= t_4 2.5) (- (+ t_3 1.0) t_1) (- (+ (+ t_2 1.0) 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(y) + sqrt(x);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((y + 1.0));
double t_4 = (sqrt((z + 1.0)) - sqrt(z)) + ((t_3 - sqrt(y)) + (t_2 - sqrt(x)));
double tmp;
if (t_4 <= 1.0) {
tmp = ((1.0 / (sqrt(z) + 1.0)) + t_2) - sqrt(x);
} else if (t_4 <= 2.5) {
tmp = (t_3 + 1.0) - t_1;
} else {
tmp = ((t_2 + 1.0) + 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) :: t_4
real(8) :: tmp
t_1 = sqrt(y) + sqrt(x)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((y + 1.0d0))
t_4 = (sqrt((z + 1.0d0)) - sqrt(z)) + ((t_3 - sqrt(y)) + (t_2 - sqrt(x)))
if (t_4 <= 1.0d0) then
tmp = ((1.0d0 / (sqrt(z) + 1.0d0)) + t_2) - sqrt(x)
else if (t_4 <= 2.5d0) then
tmp = (t_3 + 1.0d0) - t_1
else
tmp = ((t_2 + 1.0d0) + 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(y) + Math.sqrt(x);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((y + 1.0));
double t_4 = (Math.sqrt((z + 1.0)) - Math.sqrt(z)) + ((t_3 - Math.sqrt(y)) + (t_2 - Math.sqrt(x)));
double tmp;
if (t_4 <= 1.0) {
tmp = ((1.0 / (Math.sqrt(z) + 1.0)) + t_2) - Math.sqrt(x);
} else if (t_4 <= 2.5) {
tmp = (t_3 + 1.0) - t_1;
} else {
tmp = ((t_2 + 1.0) + 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(y) + math.sqrt(x) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((y + 1.0)) t_4 = (math.sqrt((z + 1.0)) - math.sqrt(z)) + ((t_3 - math.sqrt(y)) + (t_2 - math.sqrt(x))) tmp = 0 if t_4 <= 1.0: tmp = ((1.0 / (math.sqrt(z) + 1.0)) + t_2) - math.sqrt(x) elif t_4 <= 2.5: tmp = (t_3 + 1.0) - t_1 else: tmp = ((t_2 + 1.0) + 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(y) + sqrt(x)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_2 - sqrt(x)))) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(z) + 1.0)) + t_2) - sqrt(x)); elseif (t_4 <= 2.5) tmp = Float64(Float64(t_3 + 1.0) - t_1); else tmp = Float64(Float64(Float64(t_2 + 1.0) + 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(y) + sqrt(x);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((y + 1.0));
t_4 = (sqrt((z + 1.0)) - sqrt(z)) + ((t_3 - sqrt(y)) + (t_2 - sqrt(x)));
tmp = 0.0;
if (t_4 <= 1.0)
tmp = ((1.0 / (sqrt(z) + 1.0)) + t_2) - sqrt(x);
elseif (t_4 <= 2.5)
tmp = (t_3 + 1.0) - t_1;
else
tmp = ((t_2 + 1.0) + 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[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.5], N[(N[(t$95$3 + 1.0), $MachinePrecision] - t$95$1), $MachinePrecision], N[(N[(N[(t$95$2 + 1.0), $MachinePrecision] + 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{y} + \sqrt{x}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(\sqrt{z + 1} - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{z} + 1} + t\_2\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.5:\\
\;\;\;\;\left(t\_3 + 1\right) - t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + 1\right) + t\_3\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))) < 1Initial program 78.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6478.9
Applied rewrites78.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites6.1%
Taylor expanded in y around inf
Applied rewrites12.5%
Taylor expanded in z around 0
Applied rewrites12.2%
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))) < 2.5Initial program 95.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.0
Applied rewrites96.0%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites28.5%
Taylor expanded in x around 0
Applied rewrites25.6%
Taylor expanded in z around inf
Applied rewrites21.8%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6462.1
Applied rewrites62.1%
Taylor expanded in z around inf
Applied rewrites1.9%
Taylor expanded in y around inf
Applied rewrites3.4%
Taylor expanded in z around 0
Applied rewrites59.9%
Final simplification21.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x))) (t_2 (sqrt (+ y 1.0))))
(if (<=
(+ (- (sqrt (+ z 1.0)) (sqrt z)) (+ (- t_2 (sqrt y)) (- t_1 (sqrt x))))
1.0)
(- (+ (/ 1.0 (+ (sqrt z) 1.0)) t_1) (sqrt x))
(- (+ t_2 1.0) (+ (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 + x));
double t_2 = sqrt((y + 1.0));
double tmp;
if (((sqrt((z + 1.0)) - sqrt(z)) + ((t_2 - sqrt(y)) + (t_1 - sqrt(x)))) <= 1.0) {
tmp = ((1.0 / (sqrt(z) + 1.0)) + t_1) - sqrt(x);
} else {
tmp = (t_2 + 1.0) - (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 + x))
t_2 = sqrt((y + 1.0d0))
if (((sqrt((z + 1.0d0)) - sqrt(z)) + ((t_2 - sqrt(y)) + (t_1 - sqrt(x)))) <= 1.0d0) then
tmp = ((1.0d0 / (sqrt(z) + 1.0d0)) + t_1) - sqrt(x)
else
tmp = (t_2 + 1.0d0) - (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 + x));
double t_2 = Math.sqrt((y + 1.0));
double tmp;
if (((Math.sqrt((z + 1.0)) - Math.sqrt(z)) + ((t_2 - Math.sqrt(y)) + (t_1 - Math.sqrt(x)))) <= 1.0) {
tmp = ((1.0 / (Math.sqrt(z) + 1.0)) + t_1) - Math.sqrt(x);
} else {
tmp = (t_2 + 1.0) - (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 + x)) t_2 = math.sqrt((y + 1.0)) tmp = 0 if ((math.sqrt((z + 1.0)) - math.sqrt(z)) + ((t_2 - math.sqrt(y)) + (t_1 - math.sqrt(x)))) <= 1.0: tmp = ((1.0 / (math.sqrt(z) + 1.0)) + t_1) - math.sqrt(x) else: tmp = (t_2 + 1.0) - (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 + x)) t_2 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) + Float64(Float64(t_2 - sqrt(y)) + Float64(t_1 - sqrt(x)))) <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(z) + 1.0)) + t_1) - sqrt(x)); else tmp = Float64(Float64(t_2 + 1.0) - 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 + x));
t_2 = sqrt((y + 1.0));
tmp = 0.0;
if (((sqrt((z + 1.0)) - sqrt(z)) + ((t_2 - sqrt(y)) + (t_1 - sqrt(x)))) <= 1.0)
tmp = ((1.0 / (sqrt(z) + 1.0)) + t_1) - sqrt(x);
else
tmp = (t_2 + 1.0) - (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 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + 1.0), $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 + x}\\
t_2 := \sqrt{y + 1}\\
\mathbf{if}\;\left(\sqrt{z + 1} - \sqrt{z}\right) + \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right) \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{z} + 1} + t\_1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + 1\right) - \left(\sqrt{y} + \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 78.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6478.9
Applied rewrites78.9%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites6.1%
Taylor expanded in y around inf
Applied rewrites12.5%
Taylor expanded in z around 0
Applied rewrites12.2%
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))) Initial program 95.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.7
Applied rewrites96.7%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites35.0%
Taylor expanded in x around 0
Applied rewrites32.4%
Taylor expanded in z around inf
Applied rewrites21.4%
Final simplification17.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z)))))
(if (<= x 0.95)
(+ (- (+ (sqrt (+ y 1.0)) t_1) (+ (sqrt y) (sqrt x))) 1.0)
(fma (sqrt (/ 1.0 x)) 0.5 t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = 1.0 / (sqrt((z + 1.0)) + sqrt(z));
double tmp;
if (x <= 0.95) {
tmp = ((sqrt((y + 1.0)) + t_1) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = fma(sqrt((1.0 / x)), 0.5, t_1);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z))) tmp = 0.0 if (x <= 0.95) tmp = Float64(Float64(Float64(sqrt(Float64(y + 1.0)) + t_1) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = fma(sqrt(Float64(1.0 / x)), 0.5, 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[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 0.95], N[(N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \frac{1}{\sqrt{z + 1} + \sqrt{z}}\\
\mathbf{if}\;x \leq 0.95:\\
\;\;\;\;\left(\left(\sqrt{y + 1} + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_1\right)\\
\end{array}
\end{array}
if x < 0.94999999999999996Initial program 94.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6495.8
Applied rewrites95.8%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites37.3%
Taylor expanded in x around 0
Applied rewrites49.1%
if 0.94999999999999996 < x Initial program 81.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6481.6
Applied rewrites81.6%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites6.9%
Taylor expanded in y around inf
Applied rewrites4.6%
Taylor expanded in x around inf
Applied rewrites26.5%
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 (+ y 1.0))))
(if (<= (- t_1 (sqrt y)) 0.0)
(- (fma (sqrt (/ 1.0 z)) 0.5 (sqrt (+ 1.0 x))) (sqrt x))
(- (+ t_1 1.0) (+ (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((y + 1.0));
double tmp;
if ((t_1 - sqrt(y)) <= 0.0) {
tmp = fma(sqrt((1.0 / z)), 0.5, sqrt((1.0 + x))) - sqrt(x);
} else {
tmp = (t_1 + 1.0) - (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(y + 1.0)) tmp = 0.0 if (Float64(t_1 - sqrt(y)) <= 0.0) tmp = Float64(fma(sqrt(Float64(1.0 / z)), 0.5, sqrt(Float64(1.0 + x))) - sqrt(x)); else tmp = Float64(Float64(t_1 + 1.0) - Float64(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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 1.0), $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{y + 1}\\
\mathbf{if}\;t\_1 - \sqrt{y} \leq 0:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \sqrt{1 + x}\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 78.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6480.1
Applied rewrites80.1%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites4.6%
Taylor expanded in y around inf
Applied rewrites29.5%
Taylor expanded in z around inf
Applied rewrites14.9%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.4
Applied rewrites96.4%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites37.7%
Taylor expanded in x around 0
Applied rewrites32.8%
Taylor expanded in z around inf
Applied rewrites21.6%
Final simplification18.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))))
(if (<= (- t_1 (sqrt y)) 0.0)
(- (sqrt (+ 1.0 x)) (sqrt x))
(- (+ t_1 1.0) (+ (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((y + 1.0));
double tmp;
if ((t_1 - sqrt(y)) <= 0.0) {
tmp = sqrt((1.0 + x)) - sqrt(x);
} else {
tmp = (t_1 + 1.0) - (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) :: tmp
t_1 = sqrt((y + 1.0d0))
if ((t_1 - sqrt(y)) <= 0.0d0) then
tmp = sqrt((1.0d0 + x)) - sqrt(x)
else
tmp = (t_1 + 1.0d0) - (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((y + 1.0));
double tmp;
if ((t_1 - Math.sqrt(y)) <= 0.0) {
tmp = Math.sqrt((1.0 + x)) - Math.sqrt(x);
} else {
tmp = (t_1 + 1.0) - (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((y + 1.0)) tmp = 0 if (t_1 - math.sqrt(y)) <= 0.0: tmp = math.sqrt((1.0 + x)) - math.sqrt(x) else: tmp = (t_1 + 1.0) - (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(y + 1.0)) tmp = 0.0 if (Float64(t_1 - sqrt(y)) <= 0.0) tmp = Float64(sqrt(Float64(1.0 + x)) - sqrt(x)); else tmp = Float64(Float64(t_1 + 1.0) - 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((y + 1.0));
tmp = 0.0;
if ((t_1 - sqrt(y)) <= 0.0)
tmp = sqrt((1.0 + x)) - sqrt(x);
else
tmp = (t_1 + 1.0) - (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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + 1.0), $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{y + 1}\\
\mathbf{if}\;t\_1 - \sqrt{y} \leq 0:\\
\;\;\;\;\sqrt{1 + x} - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + 1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 78.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6480.1
Applied rewrites80.1%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites4.6%
Taylor expanded in y around inf
Applied rewrites29.5%
Taylor expanded in z around inf
Applied rewrites16.5%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 96.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.4
Applied rewrites96.4%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites37.7%
Taylor expanded in x around 0
Applied rewrites32.8%
Taylor expanded in z around inf
Applied rewrites21.6%
Final simplification19.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt (+ 1.0 x)) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt((1.0 + x)) - 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((1.0d0 + x)) - 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((1.0 + x)) - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt((1.0 + x)) - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt((1.0 + x)) - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{1 + x} - \sqrt{x}
\end{array}
Initial program 88.0%
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-+.f6488.5
Applied rewrites88.5%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites21.8%
Taylor expanded in y around inf
Applied rewrites20.7%
Taylor expanded in z around inf
Applied rewrites13.5%
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)) 1.0))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(y) + 1.0;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(y) + 1.0d0
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(y) + 1.0;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(y) + 1.0
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(y)) + 1.0) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(y) + 1.0;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[((-N[Sqrt[y], $MachinePrecision]) + 1.0), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{y}\right) + 1
\end{array}
Initial program 88.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6413.3
Applied rewrites13.3%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites27.4%
Taylor expanded in y around inf
Applied rewrites13.6%
Final simplification13.6%
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)))
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 Float64(-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 88.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6413.3
Applied rewrites13.3%
Taylor expanded in y around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
Applied rewrites27.4%
Taylor expanded in y around inf
Applied rewrites1.6%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024276
(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))))