
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 24 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ t_2 (- t_3 (sqrt x))))
(t_5 (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z)))))
(if (<= t_4 0.0)
(+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) t_5)))
(if (<= t_4 1.002)
(+
t_3
(fma -0.125 (sqrt (/ 1.0 (* y (* y y)))) (fma 0.5 t_5 (- (sqrt x)))))
(+
(+ (+ (- 1.0 (sqrt x)) t_2) (/ 1.0 (+ (sqrt (+ 1.0 z)) (sqrt z))))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((y + 1.0)) - sqrt(y);
double t_3 = sqrt((x + 1.0));
double t_4 = t_2 + (t_3 - sqrt(x));
double t_5 = sqrt((1.0 / y)) + sqrt((1.0 / z));
double tmp;
if (t_4 <= 0.0) {
tmp = t_1 + (0.5 * (sqrt((1.0 / x)) + t_5));
} else if (t_4 <= 1.002) {
tmp = t_3 + fma(-0.125, sqrt((1.0 / (y * (y * y)))), fma(0.5, t_5, -sqrt(x)));
} else {
tmp = (((1.0 - sqrt(x)) + t_2) + (1.0 / (sqrt((1.0 + z)) + sqrt(z)))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_2 + Float64(t_3 - sqrt(x))) t_5 = Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + t_5))); elseif (t_4 <= 1.002) tmp = Float64(t_3 + fma(-0.125, sqrt(Float64(1.0 / Float64(y * Float64(y * y)))), fma(0.5, t_5, Float64(-sqrt(x))))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_2) + Float64(1.0 / Float64(sqrt(Float64(1.0 + z)) + sqrt(z)))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.002], N[(t$95$3 + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + N[(0.5 * t$95$5 + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{y + 1} - \sqrt{y}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_2 + \left(t\_3 - \sqrt{x}\right)\\
t_5 := \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + t\_5\right)\\
\mathbf{elif}\;t\_4 \leq 1.002:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(-0.125, \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}, \mathsf{fma}\left(0.5, t\_5, -\sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_2\right) + \frac{1}{\sqrt{1 + z} + \sqrt{z}}\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.0Initial program 78.9%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+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
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.3
Applied rewrites15.3%
Taylor expanded in y around inf
Applied rewrites23.1%
Taylor expanded in x around inf
Applied rewrites39.7%
if 0.0 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.002Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.8
Applied rewrites16.8%
Taylor expanded in z around inf
Applied rewrites14.7%
Taylor expanded in y around inf
Applied rewrites12.5%
if 1.002 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6491.5
Applied rewrites91.5%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
pow1/2N/A
pow1/2N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
Applied rewrites92.7%
Final simplification35.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_4 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_4 1.002)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(if (<= t_4 2.00005)
(- (+ 1.0 (fma 0.5 (+ x (sqrt (/ 1.0 z))) t_3)) (+ (sqrt x) (sqrt y)))
(- (+ t_2 (+ 1.0 t_3)) (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_4 <= 1.002) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else if (t_4 <= 2.00005) {
tmp = (1.0 + fma(0.5, (x + sqrt((1.0 / z))), t_3)) - (sqrt(x) + sqrt(y));
} else {
tmp = (t_2 + (1.0 + t_3)) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_4 <= 1.002) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); elseif (t_4 <= 2.00005) tmp = Float64(Float64(1.0 + fma(0.5, Float64(x + sqrt(Float64(1.0 / z))), t_3)) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(t_2 + Float64(1.0 + t_3)) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $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]}, If[LessEqual[t$95$4, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$4, 1.002], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(N[(1.0 + N[(0.5 * N[(x + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + N[(1.0 + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
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)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_4 \leq 1.002:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;\left(1 + \mathsf{fma}\left(0.5, x + \sqrt{\frac{1}{z}}, t\_3\right)\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + \left(1 + t\_3\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites18.7%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 95.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites16.1%
Applied rewrites5.6%
Taylor expanded in y around inf
Applied rewrites15.5%
if 1.002 < (+.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))) < 2.0000499999999999Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.2
Applied rewrites22.2%
Taylor expanded in z around inf
Applied rewrites20.4%
Taylor expanded in x around 0
Applied rewrites18.6%
if 2.0000499999999999 < (+.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 99.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6453.1
Applied rewrites53.1%
Taylor expanded in z around inf
Applied rewrites19.3%
Taylor expanded in x around 0
Applied rewrites50.6%
Final simplification20.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_4 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_4 1.002)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(if (<= t_4 2.00005)
(+ 1.0 (- (fma 0.5 (sqrt (/ 1.0 z)) t_3) (+ (sqrt x) (sqrt y))))
(- (+ t_2 (+ 1.0 t_3)) (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_4 <= 1.002) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else if (t_4 <= 2.00005) {
tmp = 1.0 + (fma(0.5, sqrt((1.0 / z)), t_3) - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_2 + (1.0 + t_3)) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_4 <= 1.002) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); elseif (t_4 <= 2.00005) tmp = Float64(1.0 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_3) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_2 + Float64(1.0 + t_3)) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $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]}, If[LessEqual[t$95$4, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$4, 1.002], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(1.0 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + N[(1.0 + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
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)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_4 \leq 1.002:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_3\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + \left(1 + t\_3\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites18.7%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 95.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites16.1%
Applied rewrites5.6%
Taylor expanded in y around inf
Applied rewrites15.5%
if 1.002 < (+.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))) < 2.0000499999999999Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.2
Applied rewrites22.2%
Taylor expanded in z around inf
Applied rewrites20.4%
Taylor expanded in x around 0
Applied rewrites20.0%
if 2.0000499999999999 < (+.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 99.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6453.1
Applied rewrites53.1%
Taylor expanded in z around inf
Applied rewrites19.3%
Taylor expanded in x around 0
Applied rewrites50.6%
Final simplification20.8%
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 (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_4 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_4 1.002)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(if (<= t_4 2.00005)
(+ 1.0 (- (fma 0.5 (sqrt (/ 1.0 z)) t_3) (+ (sqrt x) (sqrt y))))
(- (+ t_2 (+ 1.0 t_1)) (+ (sqrt x) (+ (sqrt y) (sqrt z)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_4 <= 1.002) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else if (t_4 <= 2.00005) {
tmp = 1.0 + (fma(0.5, sqrt((1.0 / z)), t_3) - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_2 + (1.0 + t_1)) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_4 <= 1.002) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); elseif (t_4 <= 2.00005) tmp = Float64(1.0 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_3) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_2 + Float64(1.0 + t_1)) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $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]}, If[LessEqual[t$95$4, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$4, 1.002], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(1.0 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
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)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_4 \leq 1.002:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_3\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + \left(1 + t\_1\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites18.7%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 95.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites16.1%
Applied rewrites5.6%
Taylor expanded in y around inf
Applied rewrites15.5%
if 1.002 < (+.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))) < 2.0000499999999999Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.2
Applied rewrites22.2%
Taylor expanded in z around inf
Applied rewrites20.4%
Taylor expanded in x around 0
Applied rewrites20.0%
if 2.0000499999999999 < (+.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 99.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6453.1
Applied rewrites53.1%
Taylor expanded in y around 0
Applied rewrites49.3%
Final simplification20.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_4 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_4 1.002)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(if (<= t_4 2.00005)
(+ 1.0 (- (fma 0.5 (sqrt (/ 1.0 z)) t_3) (+ (sqrt x) (sqrt y))))
(+ 1.0 (- (+ t_2 t_3) (+ (sqrt x) (+ (sqrt y) (sqrt z))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_4 <= 1.002) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else if (t_4 <= 2.00005) {
tmp = 1.0 + (fma(0.5, sqrt((1.0 / z)), t_3) - (sqrt(x) + sqrt(y)));
} else {
tmp = 1.0 + ((t_2 + t_3) - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_4 <= 1.002) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); elseif (t_4 <= 2.00005) tmp = Float64(1.0 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_3) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(1.0 + Float64(Float64(t_2 + t_3) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $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]}, If[LessEqual[t$95$4, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$4, 1.002], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(1.0 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 + t$95$3), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
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)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_4 \leq 1.002:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_3\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(t\_2 + t\_3\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites18.7%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 95.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites16.1%
Applied rewrites5.6%
Taylor expanded in y around inf
Applied rewrites15.5%
if 1.002 < (+.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))) < 2.0000499999999999Initial program 97.1%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.2
Applied rewrites22.2%
Taylor expanded in z around inf
Applied rewrites20.4%
Taylor expanded in x around 0
Applied rewrites20.0%
if 2.0000499999999999 < (+.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 99.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6453.1
Applied rewrites53.1%
Taylor expanded in x around 0
Applied rewrites50.6%
Final simplification20.8%
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 (+ x 1.0)))
(t_2 (+ (sqrt x) (sqrt y)))
(t_3 (sqrt (+ y 1.0)))
(t_4
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ (- t_3 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_4 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_4 1.002)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_1) (sqrt x))
(if (<= t_4 2.8)
(+ 1.0 (- (fma 0.5 (sqrt (/ 1.0 z)) t_3) t_2))
(+ t_1 (- (fma y (fma -0.125 y 0.5) 1.0) t_2)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt(x) + sqrt(y);
double t_3 = sqrt((y + 1.0));
double t_4 = (sqrt((1.0 + z)) - sqrt(z)) + ((t_3 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_4 <= 1.002) {
tmp = fma(0.5, sqrt((1.0 / y)), t_1) - sqrt(x);
} else if (t_4 <= 2.8) {
tmp = 1.0 + (fma(0.5, sqrt((1.0 / z)), t_3) - t_2);
} else {
tmp = t_1 + (fma(y, fma(-0.125, y, 0.5), 1.0) - t_2);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = Float64(sqrt(x) + sqrt(y)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_4 <= 1.002) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_1) - sqrt(x)); elseif (t_4 <= 2.8) tmp = Float64(1.0 + Float64(fma(0.5, sqrt(Float64(1.0 / z)), t_3) - t_2)); else tmp = Float64(t_1 + Float64(fma(y, fma(-0.125, y, 0.5), 1.0) - 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - 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]}, If[LessEqual[t$95$4, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$4, 1.002], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.8], N[(1.0 + N[(N[(0.5 * N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(N[(y * N[(-0.125 * y + 0.5), $MachinePrecision] + 1.0), $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{x} + \sqrt{y}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_4 \leq 1.002:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2.8:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}}, t\_3\right) - t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\mathsf{fma}\left(y, \mathsf{fma}\left(-0.125, y, 0.5\right), 1\right) - t\_2\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites18.7%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.002Initial program 95.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.8
Applied rewrites4.8%
Taylor expanded in z around inf
Applied rewrites16.1%
Applied rewrites5.6%
Taylor expanded in y around inf
Applied rewrites15.5%
if 1.002 < (+.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 97.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.8
Applied rewrites22.8%
Taylor expanded in z around inf
Applied rewrites20.1%
Taylor expanded in x around 0
Applied rewrites19.7%
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 99.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6454.5
Applied rewrites54.5%
Taylor expanded in z around inf
Applied rewrites19.4%
Taylor expanded in y around 0
Applied rewrites19.4%
Final simplification17.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_5 (+ t_2 (+ t_4 (- t_1 (sqrt x))))))
(if (<= t_5 0.0)
(+ t_3 (* 0.5 (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 z)))))
(if (<= t_5 2.00005)
(+ (/ 0.5 (sqrt z)) (+ t_1 (- t_4 (sqrt x))))
(+ t_3 (+ t_2 (+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((y + 1.0)) - sqrt(y);
double t_5 = t_2 + (t_4 + (t_1 - sqrt(x)));
double tmp;
if (t_5 <= 0.0) {
tmp = t_3 + (0.5 * (sqrt((1.0 / x)) + sqrt((1.0 / z))));
} else if (t_5 <= 2.00005) {
tmp = (0.5 / sqrt(z)) + (t_1 + (t_4 - sqrt(x)));
} else {
tmp = t_3 + (t_2 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + z)) - sqrt(z)
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((y + 1.0d0)) - sqrt(y)
t_5 = t_2 + (t_4 + (t_1 - sqrt(x)))
if (t_5 <= 0.0d0) then
tmp = t_3 + (0.5d0 * (sqrt((1.0d0 / x)) + sqrt((1.0d0 / z))))
else if (t_5 <= 2.00005d0) then
tmp = (0.5d0 / sqrt(z)) + (t_1 + (t_4 - sqrt(x)))
else
tmp = t_3 + (t_2 + ((1.0d0 - sqrt(x)) + (1.0d0 - sqrt(y))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double t_5 = t_2 + (t_4 + (t_1 - Math.sqrt(x)));
double tmp;
if (t_5 <= 0.0) {
tmp = t_3 + (0.5 * (Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / z))));
} else if (t_5 <= 2.00005) {
tmp = (0.5 / Math.sqrt(z)) + (t_1 + (t_4 - Math.sqrt(x)));
} else {
tmp = t_3 + (t_2 + ((1.0 - Math.sqrt(x)) + (1.0 - Math.sqrt(y))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt((1.0 + z)) - math.sqrt(z) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((y + 1.0)) - math.sqrt(y) t_5 = t_2 + (t_4 + (t_1 - math.sqrt(x))) tmp = 0 if t_5 <= 0.0: tmp = t_3 + (0.5 * (math.sqrt((1.0 / x)) + math.sqrt((1.0 / z)))) elif t_5 <= 2.00005: tmp = (0.5 / math.sqrt(z)) + (t_1 + (t_4 - math.sqrt(x))) else: tmp = t_3 + (t_2 + ((1.0 - math.sqrt(x)) + (1.0 - math.sqrt(y)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_5 = Float64(t_2 + Float64(t_4 + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(t_3 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / z))))); elseif (t_5 <= 2.00005) tmp = Float64(Float64(0.5 / sqrt(z)) + Float64(t_1 + Float64(t_4 - sqrt(x)))); else tmp = Float64(t_3 + Float64(t_2 + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = sqrt((1.0 + z)) - sqrt(z);
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((y + 1.0)) - sqrt(y);
t_5 = t_2 + (t_4 + (t_1 - sqrt(x)));
tmp = 0.0;
if (t_5 <= 0.0)
tmp = t_3 + (0.5 * (sqrt((1.0 / x)) + sqrt((1.0 / z))));
elseif (t_5 <= 2.00005)
tmp = (0.5 / sqrt(z)) + (t_1 + (t_4 - sqrt(x)));
else
tmp = t_3 + (t_2 + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$2 + N[(t$95$4 + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(t$95$3 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.00005], N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$2 + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{y + 1} - \sqrt{y}\\
t_5 := t\_2 + \left(t\_4 + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;t\_3 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{z}}\right)\\
\mathbf{elif}\;t\_5 \leq 2.00005:\\
\;\;\;\;\frac{0.5}{\sqrt{z}} + \left(t\_1 + \left(t\_4 - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_2 + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+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
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6429.7
Applied rewrites29.7%
Taylor expanded in y around inf
Applied rewrites49.6%
Taylor expanded in x around inf
Applied rewrites80.9%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.9
Applied rewrites12.9%
Taylor expanded in z around inf
Applied rewrites18.1%
Applied rewrites19.4%
if 2.0000499999999999 < (+.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 99.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6490.5
Applied rewrites90.5%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6486.8
Applied rewrites86.8%
Final simplification31.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_4 (+ (- t_2 (sqrt z)) (+ t_3 (- t_1 (sqrt x))))))
(if (<= t_4 0.0)
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(* 0.5 (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 z)))))
(if (<= t_4 2.00005)
(+ (/ 0.5 (sqrt z)) (+ t_1 (- t_3 (sqrt x))))
(+
1.0
(+ (fma 0.5 y t_2) (- t_1 (+ (sqrt x) (+ (sqrt y) (sqrt z))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double t_4 = (t_2 - sqrt(z)) + (t_3 + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 0.0) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (0.5 * (sqrt((1.0 / x)) + sqrt((1.0 / z))));
} else if (t_4 <= 2.00005) {
tmp = (0.5 / sqrt(z)) + (t_1 + (t_3 - sqrt(x)));
} else {
tmp = 1.0 + (fma(0.5, y, t_2) + (t_1 - (sqrt(x) + (sqrt(y) + sqrt(z)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(t_3 + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / z))))); elseif (t_4 <= 2.00005) tmp = Float64(Float64(0.5 / sqrt(z)) + Float64(t_1 + Float64(t_3 - sqrt(x)))); else tmp = Float64(1.0 + Float64(fma(0.5, y, t_2) + Float64(t_1 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(0.5 * y + t$95$2), $MachinePrecision] + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(t\_3 + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{z}}\right)\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;\frac{0.5}{\sqrt{z}} + \left(t\_1 + \left(t\_3 - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, y, t\_2\right) + \left(t\_1 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+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
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6429.7
Applied rewrites29.7%
Taylor expanded in y around inf
Applied rewrites49.6%
Taylor expanded in x around inf
Applied rewrites80.9%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.9
Applied rewrites12.9%
Taylor expanded in z around inf
Applied rewrites18.1%
Applied rewrites19.4%
if 2.0000499999999999 < (+.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 99.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6453.1
Applied rewrites53.1%
Taylor expanded in z around inf
Applied rewrites19.3%
Taylor expanded in y around 0
Applied rewrites49.9%
Final simplification27.8%
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 (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_4 (+ (- t_2 (sqrt z)) (+ t_3 (- t_1 (sqrt x))))))
(if (<= t_4 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_4 2.00005)
(+ (/ 0.5 (sqrt z)) (+ t_1 (- t_3 (sqrt x))))
(+
1.0
(+ (fma 0.5 y t_2) (- t_1 (+ (sqrt x) (+ (sqrt y) (sqrt z))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0)) - sqrt(y);
double t_4 = (t_2 - sqrt(z)) + (t_3 + (t_1 - sqrt(x)));
double tmp;
if (t_4 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_4 <= 2.00005) {
tmp = (0.5 / sqrt(z)) + (t_1 + (t_3 - sqrt(x)));
} else {
tmp = 1.0 + (fma(0.5, y, t_2) + (t_1 - (sqrt(x) + (sqrt(y) + sqrt(z)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(t_3 + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_4 <= 2.00005) tmp = Float64(Float64(0.5 / sqrt(z)) + Float64(t_1 + Float64(t_3 - sqrt(x)))); else tmp = Float64(1.0 + Float64(fma(0.5, y, t_2) + Float64(t_1 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(N[(0.5 / N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(0.5 * y + t$95$2), $MachinePrecision] + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y + 1} - \sqrt{y}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(t\_3 + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;\frac{0.5}{\sqrt{z}} + \left(t\_1 + \left(t\_3 - \sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, y, t\_2\right) + \left(t\_1 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites18.7%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.9
Applied rewrites12.9%
Taylor expanded in z around inf
Applied rewrites18.1%
Applied rewrites19.4%
if 2.0000499999999999 < (+.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 99.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6453.1
Applied rewrites53.1%
Taylor expanded in z around inf
Applied rewrites19.3%
Taylor expanded in y around 0
Applied rewrites49.9%
Final simplification22.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (- t_1 (sqrt x)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (+ (- t_3 (sqrt z)) (+ (- t_4 (sqrt y)) t_2))))
(if (<= t_5 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_5 2.0)
(fma (- (+ y 1.0) y) (/ 1.0 (+ (sqrt y) t_4)) t_2)
(+
1.0
(+ (fma 0.5 y t_3) (- t_1 (+ (sqrt x) (+ (sqrt y) (sqrt z))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = t_1 - sqrt(x);
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((y + 1.0));
double t_5 = (t_3 - sqrt(z)) + ((t_4 - sqrt(y)) + t_2);
double tmp;
if (t_5 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_5 <= 2.0) {
tmp = fma(((y + 1.0) - y), (1.0 / (sqrt(y) + t_4)), t_2);
} else {
tmp = 1.0 + (fma(0.5, y, t_3) + (t_1 - (sqrt(x) + (sqrt(y) + sqrt(z)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = Float64(t_1 - sqrt(x)) t_3 = sqrt(Float64(1.0 + z)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(t_4 - sqrt(y)) + t_2)) tmp = 0.0 if (t_5 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_5 <= 2.0) tmp = fma(Float64(Float64(y + 1.0) - y), Float64(1.0 / Float64(sqrt(y) + t_4)), t_2); else tmp = Float64(1.0 + Float64(fma(0.5, y, t_3) + Float64(t_1 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(N[(y + 1.0), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(1.0 + N[(N[(0.5 * y + t$95$3), $MachinePrecision] + N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := t\_1 - \sqrt{x}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(t\_3 - \sqrt{z}\right) + \left(\left(t\_4 - \sqrt{y}\right) + t\_2\right)\\
\mathbf{if}\;t\_5 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\mathsf{fma}\left(\left(y + 1\right) - y, \frac{1}{\sqrt{y} + t\_4}, t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(0.5, y, t\_3\right) + \left(t\_1 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites18.7%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 96.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Taylor expanded in z around inf
Applied rewrites19.7%
Applied rewrites11.4%
Applied rewrites32.9%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6451.8
Applied rewrites51.8%
Taylor expanded in z around inf
Applied rewrites19.2%
Taylor expanded in y around 0
Applied rewrites46.2%
Final simplification33.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_2 (sqrt z)) (+ (- t_3 (sqrt y)) t_1))))
(if (<= t_4 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_4 2.0)
(fma (- (+ y 1.0) y) (/ 1.0 (+ (sqrt y) t_3)) t_1)
(- (+ t_2 (+ 1.0 t_3)) (+ (sqrt x) (+ (sqrt y) (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0)) - sqrt(x);
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_2 - sqrt(z)) + ((t_3 - sqrt(y)) + t_1);
double tmp;
if (t_4 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_4 <= 2.0) {
tmp = fma(((y + 1.0) - y), (1.0 / (sqrt(y) + t_3)), t_1);
} else {
tmp = (t_2 + (1.0 + t_3)) - (sqrt(x) + (sqrt(y) + sqrt(z)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_2 - sqrt(z)) + Float64(Float64(t_3 - sqrt(y)) + t_1)) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_4 <= 2.0) tmp = fma(Float64(Float64(y + 1.0) - y), Float64(1.0 / Float64(sqrt(y) + t_3)), t_1); else tmp = Float64(Float64(t_2 + Float64(1.0 + t_3)) - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $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] + t$95$1), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(N[(y + 1.0), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(t$95$2 + N[(1.0 + t$95$3), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1} - \sqrt{x}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(t\_2 - \sqrt{z}\right) + \left(\left(t\_3 - \sqrt{y}\right) + t\_1\right)\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\mathsf{fma}\left(\left(y + 1\right) - y, \frac{1}{\sqrt{y} + t\_3}, t\_1\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + \left(1 + t\_3\right)\right) - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.0Initial program 49.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.2
Applied rewrites4.2%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.3%
Taylor expanded in x around inf
Applied rewrites18.7%
if 0.0 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 96.7%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6412.5
Applied rewrites12.5%
Taylor expanded in z around inf
Applied rewrites19.7%
Applied rewrites11.4%
Applied rewrites32.9%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6451.8
Applied rewrites51.8%
Taylor expanded in z around inf
Applied rewrites19.2%
Taylor expanded in x around 0
Applied rewrites48.1%
Final simplification33.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (- (sqrt (+ y 1.0)) (sqrt y)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ t_2 (- t_3 (sqrt x))))
(t_5 (sqrt (/ 1.0 y))))
(if (<= t_4 0.0)
(+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) (+ t_5 (sqrt (/ 1.0 z))))))
(if (<= t_4 1.002)
(+
t_3
(fma 0.5 t_5 (fma -0.125 (sqrt (/ 1.0 (* y (* y y)))) (- (sqrt x)))))
(+
(+ (+ (- 1.0 (sqrt x)) t_2) (/ 1.0 (+ (sqrt (+ 1.0 z)) (sqrt z))))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((y + 1.0)) - sqrt(y);
double t_3 = sqrt((x + 1.0));
double t_4 = t_2 + (t_3 - sqrt(x));
double t_5 = sqrt((1.0 / y));
double tmp;
if (t_4 <= 0.0) {
tmp = t_1 + (0.5 * (sqrt((1.0 / x)) + (t_5 + sqrt((1.0 / z)))));
} else if (t_4 <= 1.002) {
tmp = t_3 + fma(0.5, t_5, fma(-0.125, sqrt((1.0 / (y * (y * y)))), -sqrt(x)));
} else {
tmp = (((1.0 - sqrt(x)) + t_2) + (1.0 / (sqrt((1.0 + z)) + sqrt(z)))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_2 + Float64(t_3 - sqrt(x))) t_5 = sqrt(Float64(1.0 / y)) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(t_5 + sqrt(Float64(1.0 / z)))))); elseif (t_4 <= 1.002) tmp = Float64(t_3 + fma(0.5, t_5, fma(-0.125, sqrt(Float64(1.0 / Float64(y * Float64(y * y)))), Float64(-sqrt(x))))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + t_2) + Float64(1.0 / Float64(sqrt(Float64(1.0 + z)) + sqrt(z)))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(t$95$5 + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.002], N[(t$95$3 + N[(0.5 * t$95$5 + N[(-0.125 * N[Sqrt[N[(1.0 / N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{y + 1} - \sqrt{y}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_2 + \left(t\_3 - \sqrt{x}\right)\\
t_5 := \sqrt{\frac{1}{y}}\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(t\_5 + \sqrt{\frac{1}{z}}\right)\right)\\
\mathbf{elif}\;t\_4 \leq 1.002:\\
\;\;\;\;t\_3 + \mathsf{fma}\left(0.5, t\_5, \mathsf{fma}\left(-0.125, \sqrt{\frac{1}{y \cdot \left(y \cdot y\right)}}, -\sqrt{x}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + t\_2\right) + \frac{1}{\sqrt{1 + z} + \sqrt{z}}\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.0Initial program 78.9%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+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
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.3
Applied rewrites15.3%
Taylor expanded in y around inf
Applied rewrites23.1%
Taylor expanded in x around inf
Applied rewrites39.7%
if 0.0 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.002Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.8
Applied rewrites16.8%
Taylor expanded in z around inf
Applied rewrites17.1%
Taylor expanded in y around inf
Applied rewrites15.3%
if 1.002 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.0%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6491.5
Applied rewrites91.5%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
pow1/2N/A
pow1/2N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
Applied rewrites92.7%
Final simplification36.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_4 (+ (- t_2 (sqrt y)) t_3)))
(if (<= t_4 0.0)
(+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))))))
(if (<= t_4 1.999999999999995)
(fma (- (+ y 1.0) y) (/ 1.0 (+ (sqrt y) t_2)) t_3)
(+
t_1
(+
(/ 1.0 (+ (sqrt (+ 1.0 z)) (sqrt z)))
(+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0)) - sqrt(x);
double t_4 = (t_2 - sqrt(y)) + t_3;
double tmp;
if (t_4 <= 0.0) {
tmp = t_1 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
} else if (t_4 <= 1.999999999999995) {
tmp = fma(((y + 1.0) - y), (1.0 / (sqrt(y) + t_2)), t_3);
} else {
tmp = t_1 + ((1.0 / (sqrt((1.0 + z)) + sqrt(z))) + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(y + 1.0)) t_3 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_4 = Float64(Float64(t_2 - sqrt(y)) + t_3) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z)))))); elseif (t_4 <= 1.999999999999995) tmp = fma(Float64(Float64(y + 1.0) - y), Float64(1.0 / Float64(sqrt(y) + t_2)), t_3); else tmp = Float64(t_1 + Float64(Float64(1.0 / Float64(sqrt(Float64(1.0 + z)) + sqrt(z))) + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.999999999999995], N[(N[(N[(y + 1.0), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(t$95$1 + N[(N[(1.0 / N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{x + 1} - \sqrt{x}\\
t_4 := \left(t\_2 - \sqrt{y}\right) + t\_3\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\right)\right)\\
\mathbf{elif}\;t\_4 \leq 1.999999999999995:\\
\;\;\;\;\mathsf{fma}\left(\left(y + 1\right) - y, \frac{1}{\sqrt{y} + t\_2}, t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\frac{1}{\sqrt{1 + z} + \sqrt{z}} + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.0Initial program 78.9%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+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
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.3
Applied rewrites15.3%
Taylor expanded in y around inf
Applied rewrites23.1%
Taylor expanded in x around inf
Applied rewrites39.7%
if 0.0 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.99999999999999489Initial program 96.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.0
Applied rewrites17.0%
Taylor expanded in z around inf
Applied rewrites19.3%
Applied rewrites9.2%
Applied rewrites36.9%
if 1.99999999999999489 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.1
Applied rewrites96.1%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
pow1/2N/A
pow1/2N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
Applied rewrites97.8%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6497.8
Applied rewrites97.8%
Final simplification46.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_4 (+ (- t_2 (sqrt y)) t_3)))
(if (<= t_4 0.0)
(+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 z)))))
(if (<= t_4 1.999999999999995)
(fma (- (+ y 1.0) y) (/ 1.0 (+ (sqrt y) t_2)) t_3)
(+
t_1
(+
(/ 1.0 (+ (sqrt (+ 1.0 z)) (sqrt z)))
(+ (- 1.0 (sqrt x)) (- 1.0 (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0)) - sqrt(x);
double t_4 = (t_2 - sqrt(y)) + t_3;
double tmp;
if (t_4 <= 0.0) {
tmp = t_1 + (0.5 * (sqrt((1.0 / x)) + sqrt((1.0 / z))));
} else if (t_4 <= 1.999999999999995) {
tmp = fma(((y + 1.0) - y), (1.0 / (sqrt(y) + t_2)), t_3);
} else {
tmp = t_1 + ((1.0 / (sqrt((1.0 + z)) + sqrt(z))) + ((1.0 - sqrt(x)) + (1.0 - sqrt(y))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(y + 1.0)) t_3 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_4 = Float64(Float64(t_2 - sqrt(y)) + t_3) tmp = 0.0 if (t_4 <= 0.0) tmp = Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / z))))); elseif (t_4 <= 1.999999999999995) tmp = fma(Float64(Float64(y + 1.0) - y), Float64(1.0 / Float64(sqrt(y) + t_2)), t_3); else tmp = Float64(t_1 + Float64(Float64(1.0 / Float64(sqrt(Float64(1.0 + z)) + sqrt(z))) + Float64(Float64(1.0 - sqrt(x)) + Float64(1.0 - sqrt(y))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0], N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.999999999999995], N[(N[(N[(y + 1.0), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(t$95$1 + N[(N[(1.0 / N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{x + 1} - \sqrt{x}\\
t_4 := \left(t\_2 - \sqrt{y}\right) + t\_3\\
\mathbf{if}\;t\_4 \leq 0:\\
\;\;\;\;t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{z}}\right)\\
\mathbf{elif}\;t\_4 \leq 1.999999999999995:\\
\;\;\;\;\mathsf{fma}\left(\left(y + 1\right) - y, \frac{1}{\sqrt{y} + t\_2}, t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\frac{1}{\sqrt{1 + z} + \sqrt{z}} + \left(\left(1 - \sqrt{x}\right) + \left(1 - \sqrt{y}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.0Initial program 78.9%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+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
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.3
Applied rewrites15.3%
Taylor expanded in y around inf
Applied rewrites23.1%
Taylor expanded in x around inf
Applied rewrites35.3%
if 0.0 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.99999999999999489Initial program 96.8%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6417.0
Applied rewrites17.0%
Taylor expanded in z around inf
Applied rewrites19.3%
Applied rewrites9.2%
Applied rewrites36.9%
if 1.99999999999999489 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 96.1%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6496.1
Applied rewrites96.1%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
pow1/2N/A
pow1/2N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
Applied rewrites97.8%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6497.8
Applied rewrites97.8%
Final simplification45.1%
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 (+ 1.0 z)))
(t_3 (+ (sqrt y) t_1))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= y 2.5e+43)
(+ (+ (+ (- 1.0 (sqrt x)) (- t_1 (sqrt y))) (/ 1.0 (+ t_2 (sqrt z)))) t_4)
(+
t_4
(+
(/
(fma (sqrt (/ 1.0 x)) (* x 2.0) t_3)
(* t_3 (+ (sqrt x) (sqrt (+ x 1.0)))))
(- t_2 (sqrt z)))))))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((1.0 + z));
double t_3 = sqrt(y) + t_1;
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (y <= 2.5e+43) {
tmp = (((1.0 - sqrt(x)) + (t_1 - sqrt(y))) + (1.0 / (t_2 + sqrt(z)))) + t_4;
} else {
tmp = t_4 + ((fma(sqrt((1.0 / x)), (x * 2.0), t_3) / (t_3 * (sqrt(x) + sqrt((x + 1.0))))) + (t_2 - sqrt(z)));
}
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(1.0 + z)) t_3 = Float64(sqrt(y) + t_1) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (y <= 2.5e+43) tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) + Float64(t_1 - sqrt(y))) + Float64(1.0 / Float64(t_2 + sqrt(z)))) + t_4); else tmp = Float64(t_4 + Float64(Float64(fma(sqrt(Float64(1.0 / x)), Float64(x * 2.0), t_3) / Float64(t_3 * Float64(sqrt(x) + sqrt(Float64(x + 1.0))))) + Float64(t_2 - sqrt(z)))); 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[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 2.5e+43], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(t$95$4 + N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * N[(x * 2.0), $MachinePrecision] + t$95$3), $MachinePrecision] / N[(t$95$3 * N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{y} + t\_1\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;y \leq 2.5 \cdot 10^{+43}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right) + \frac{1}{t\_2 + \sqrt{z}}\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(\frac{\mathsf{fma}\left(\sqrt{\frac{1}{x}}, x \cdot 2, t\_3\right)}{t\_3 \cdot \left(\sqrt{x} + \sqrt{x + 1}\right)} + \left(t\_2 - \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if y < 2.5000000000000002e43Initial program 94.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6439.2
Applied rewrites39.2%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
pow1/2N/A
pow1/2N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
Applied rewrites39.7%
if 2.5000000000000002e43 < y Initial program 90.1%
lift-+.f64N/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites90.0%
Taylor expanded in x around inf
distribute-lft-inN/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
distribute-lft-outN/A
associate-*r*N/A
rgt-mult-inverseN/A
*-lft-identityN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-+.f6493.9
Applied rewrites93.9%
Final simplification63.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (+ (- t_1 (sqrt y)) (- t_2 (sqrt x)))))
(if (<= t_3 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_3 1.002)
(- (fma 0.5 (sqrt (/ 1.0 y)) t_2) (sqrt x))
(+ 1.0 (- (fma x 0.5 t_1) (+ (sqrt x) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((x + 1.0));
double t_3 = (t_1 - sqrt(y)) + (t_2 - sqrt(x));
double tmp;
if (t_3 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_3 <= 1.002) {
tmp = fma(0.5, sqrt((1.0 / y)), t_2) - sqrt(x);
} else {
tmp = 1.0 + (fma(x, 0.5, t_1) - (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(x + 1.0)) t_3 = Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x))) tmp = 0.0 if (t_3 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_3 <= 1.002) tmp = Float64(fma(0.5, sqrt(Float64(1.0 / y)), t_2) - sqrt(x)); else tmp = Float64(1.0 + Float64(fma(x, 0.5, t_1) - Float64(sqrt(x) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$3, 1.002], N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(x * 0.5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{x + 1}\\
t_3 := \left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\\
\mathbf{if}\;t\_3 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_3 \leq 1.002:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_2\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(x, 0.5, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.0Initial program 78.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.7
Applied rewrites4.7%
Taylor expanded in z around inf
Applied rewrites5.1%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites11.1%
if 0.0 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.002Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.8
Applied rewrites16.8%
Taylor expanded in z around inf
Applied rewrites17.1%
Applied rewrites5.9%
Taylor expanded in y around inf
Applied rewrites17.0%
if 1.002 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.7
Applied rewrites26.7%
Taylor expanded in z around inf
Applied rewrites37.6%
Taylor expanded in x around 0
Applied rewrites37.6%
Final simplification19.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0)))
(t_2 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_3 (+ (- t_1 (sqrt y)) t_2)))
(if (<= t_3 0.0)
(* (sqrt (/ 1.0 x)) 0.5)
(if (<= t_3 1.002)
(fma 0.5 (sqrt (/ 1.0 y)) t_2)
(+ 1.0 (- (fma x 0.5 t_1) (+ (sqrt x) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((x + 1.0)) - sqrt(x);
double t_3 = (t_1 - sqrt(y)) + t_2;
double tmp;
if (t_3 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else if (t_3 <= 1.002) {
tmp = fma(0.5, sqrt((1.0 / y)), t_2);
} else {
tmp = 1.0 + (fma(x, 0.5, t_1) - (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_3 = Float64(Float64(t_1 - sqrt(y)) + t_2) tmp = 0.0 if (t_3 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); elseif (t_3 <= 1.002) tmp = fma(0.5, sqrt(Float64(1.0 / y)), t_2); else tmp = Float64(1.0 + Float64(fma(x, 0.5, t_1) - Float64(sqrt(x) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[t$95$3, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], If[LessEqual[t$95$3, 1.002], N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision], N[(1.0 + N[(N[(x * 0.5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{x + 1} - \sqrt{x}\\
t_3 := \left(t\_1 - \sqrt{y}\right) + t\_2\\
\mathbf{if}\;t\_3 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{elif}\;t\_3 \leq 1.002:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{y}}, t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\mathsf{fma}\left(x, 0.5, t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.0Initial program 78.9%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.7
Applied rewrites4.7%
Taylor expanded in z around inf
Applied rewrites5.1%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites11.1%
if 0.0 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.002Initial program 96.6%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.8
Applied rewrites16.8%
Taylor expanded in z around inf
Applied rewrites17.1%
Taylor expanded in y around inf
Applied rewrites18.8%
if 1.002 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6426.7
Applied rewrites26.7%
Taylor expanded in z around inf
Applied rewrites37.6%
Taylor expanded in x around 0
Applied rewrites37.6%
Final simplification20.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_1 0.0)
(+ t_2 (* 0.5 (+ (sqrt (/ 1.0 x)) (+ (sqrt (/ 1.0 y)) (sqrt (/ 1.0 z))))))
(+
t_2
(+
(+ (- (sqrt (+ y 1.0)) (sqrt y)) t_1)
(/ (- (+ 1.0 z) z) (+ (sqrt (+ 1.0 z)) (sqrt z))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0)) - sqrt(x);
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_1 <= 0.0) {
tmp = t_2 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
} else {
tmp = t_2 + (((sqrt((y + 1.0)) - sqrt(y)) + t_1) + (((1.0 + z) - z) / (sqrt((1.0 + z)) + sqrt(z))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((x + 1.0d0)) - sqrt(x)
t_2 = sqrt((1.0d0 + t)) - sqrt(t)
if (t_1 <= 0.0d0) then
tmp = t_2 + (0.5d0 * (sqrt((1.0d0 / x)) + (sqrt((1.0d0 / y)) + sqrt((1.0d0 / z)))))
else
tmp = t_2 + (((sqrt((y + 1.0d0)) - sqrt(y)) + t_1) + (((1.0d0 + z) - z) / (sqrt((1.0d0 + z)) + sqrt(z))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0)) - Math.sqrt(x);
double t_2 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if (t_1 <= 0.0) {
tmp = t_2 + (0.5 * (Math.sqrt((1.0 / x)) + (Math.sqrt((1.0 / y)) + Math.sqrt((1.0 / z)))));
} else {
tmp = t_2 + (((Math.sqrt((y + 1.0)) - Math.sqrt(y)) + t_1) + (((1.0 + z) - z) / (Math.sqrt((1.0 + z)) + Math.sqrt(z))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) - math.sqrt(x) t_2 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if t_1 <= 0.0: tmp = t_2 + (0.5 * (math.sqrt((1.0 / x)) + (math.sqrt((1.0 / y)) + math.sqrt((1.0 / z))))) else: tmp = t_2 + (((math.sqrt((y + 1.0)) - math.sqrt(y)) + t_1) + (((1.0 + z) - z) / (math.sqrt((1.0 + z)) + math.sqrt(z)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_1 <= 0.0) tmp = Float64(t_2 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + Float64(sqrt(Float64(1.0 / y)) + sqrt(Float64(1.0 / z)))))); else tmp = Float64(t_2 + Float64(Float64(Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) + t_1) + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(Float64(1.0 + z)) + sqrt(z))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0)) - sqrt(x);
t_2 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if (t_1 <= 0.0)
tmp = t_2 + (0.5 * (sqrt((1.0 / x)) + (sqrt((1.0 / y)) + sqrt((1.0 / z)))));
else
tmp = t_2 + (((sqrt((y + 1.0)) - sqrt(y)) + t_1) + (((1.0 + z) - z) / (sqrt((1.0 + z)) + sqrt(z))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.0], N[(t$95$2 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1} - \sqrt{x}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_1 \leq 0:\\
\;\;\;\;t\_2 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + \left(\sqrt{\frac{1}{y}} + \sqrt{\frac{1}{z}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(\left(\sqrt{y + 1} - \sqrt{y}\right) + t\_1\right) + \frac{\left(1 + z\right) - z}{\sqrt{1 + z} + \sqrt{z}}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.0Initial program 89.0%
Taylor expanded in z around inf
+-commutativeN/A
associate--l+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
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.4
Applied rewrites35.4%
Taylor expanded in y around inf
Applied rewrites15.0%
Taylor expanded in x around inf
Applied rewrites22.9%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) 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
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-+.f6496.5
lift-+.f64N/A
+-commutativeN/A
lower-+.f6496.5
Applied rewrites96.5%
Final simplification57.4%
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)) (- (sqrt (+ x 1.0)) (sqrt x))) 0.05)
(* (sqrt (/ 1.0 x)) 0.5)
(- (+ 1.0 (- (fma x 0.5 t_1) (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)) + (sqrt((x + 1.0)) - sqrt(x))) <= 0.05) {
tmp = sqrt((1.0 / x)) * 0.5;
} else {
tmp = (1.0 + (fma(x, 0.5, t_1) - 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(Float64(t_1 - sqrt(y)) + Float64(sqrt(Float64(x + 1.0)) - sqrt(x))) <= 0.05) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); else tmp = Float64(Float64(1.0 + Float64(fma(x, 0.5, t_1) - 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[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.05], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], N[(N[(1.0 + N[(N[(x * 0.5 + t$95$1), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $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}\;\left(t\_1 - \sqrt{y}\right) + \left(\sqrt{x + 1} - \sqrt{x}\right) \leq 0.05:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(\mathsf{fma}\left(x, 0.5, t\_1\right) - \sqrt{y}\right)\right) - \sqrt{x}\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.050000000000000003Initial program 79.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.1
Applied rewrites5.1%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites10.6%
if 0.050000000000000003 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.8
Applied rewrites19.8%
Taylor expanded in z around inf
Applied rewrites23.2%
Applied rewrites14.6%
Taylor expanded in x around 0
Applied rewrites23.1%
Final simplification19.8%
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 1.0)) (sqrt y))))
(if (<= (+ t_1 (- (sqrt (+ x 1.0)) (sqrt x))) 0.05)
(* (sqrt (/ 1.0 x)) 0.5)
(+ 1.0 (- t_1 (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0)) - sqrt(y);
double tmp;
if ((t_1 + (sqrt((x + 1.0)) - sqrt(x))) <= 0.05) {
tmp = sqrt((1.0 / x)) * 0.5;
} else {
tmp = 1.0 + (t_1 - sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((y + 1.0d0)) - sqrt(y)
if ((t_1 + (sqrt((x + 1.0d0)) - sqrt(x))) <= 0.05d0) then
tmp = sqrt((1.0d0 / x)) * 0.5d0
else
tmp = 1.0d0 + (t_1 - sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0)) - Math.sqrt(y);
double tmp;
if ((t_1 + (Math.sqrt((x + 1.0)) - Math.sqrt(x))) <= 0.05) {
tmp = Math.sqrt((1.0 / x)) * 0.5;
} else {
tmp = 1.0 + (t_1 - Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) - math.sqrt(y) tmp = 0 if (t_1 + (math.sqrt((x + 1.0)) - math.sqrt(x))) <= 0.05: tmp = math.sqrt((1.0 / x)) * 0.5 else: tmp = 1.0 + (t_1 - math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(y + 1.0)) - sqrt(y)) tmp = 0.0 if (Float64(t_1 + Float64(sqrt(Float64(x + 1.0)) - sqrt(x))) <= 0.05) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); else tmp = Float64(1.0 + Float64(t_1 - sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0)) - sqrt(y);
tmp = 0.0;
if ((t_1 + (sqrt((x + 1.0)) - sqrt(x))) <= 0.05)
tmp = sqrt((1.0 / x)) * 0.5;
else
tmp = 1.0 + (t_1 - sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$1 + N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.05], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], N[(1.0 + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1} - \sqrt{y}\\
\mathbf{if}\;t\_1 + \left(\sqrt{x + 1} - \sqrt{x}\right) \leq 0.05:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{else}:\\
\;\;\;\;1 + \left(t\_1 - \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.050000000000000003Initial program 79.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.1
Applied rewrites5.1%
Taylor expanded in z around inf
Applied rewrites4.9%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites10.6%
if 0.050000000000000003 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.2%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6419.8
Applied rewrites19.8%
Taylor expanded in z around inf
Applied rewrites23.2%
Taylor expanded in x around 0
Applied rewrites21.5%
Final simplification18.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (let* ((t_1 (- (sqrt (+ x 1.0)) (sqrt x)))) (if (<= t_1 0.0) (* (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 = sqrt((x + 1.0)) - sqrt(x);
double tmp;
if (t_1 <= 0.0) {
tmp = sqrt((1.0 / x)) * 0.5;
} else {
tmp = 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) :: tmp
t_1 = sqrt((x + 1.0d0)) - sqrt(x)
if (t_1 <= 0.0d0) then
tmp = sqrt((1.0d0 / x)) * 0.5d0
else
tmp = 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((x + 1.0)) - Math.sqrt(x);
double tmp;
if (t_1 <= 0.0) {
tmp = Math.sqrt((1.0 / x)) * 0.5;
} else {
tmp = t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) - math.sqrt(x) tmp = 0 if t_1 <= 0.0: tmp = math.sqrt((1.0 / x)) * 0.5 else: tmp = t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) tmp = 0.0 if (t_1 <= 0.0) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); else tmp = 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((x + 1.0)) - sqrt(x);
tmp = 0.0;
if (t_1 <= 0.0)
tmp = sqrt((1.0 / x)) * 0.5;
else
tmp = t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.0], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], t$95$1]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1} - \sqrt{x}\\
\mathbf{if}\;t\_1 \leq 0:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.0Initial program 89.0%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.5
Applied rewrites15.5%
Taylor expanded in z around inf
Applied rewrites4.6%
Taylor expanded in y around inf
Applied rewrites3.2%
Taylor expanded in x around inf
Applied rewrites8.5%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 96.4%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.3
Applied rewrites16.3%
Taylor expanded in z around inf
Applied rewrites33.9%
Taylor expanded in y around inf
Applied rewrites25.1%
Final simplification16.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= (- (sqrt (+ x 1.0)) (sqrt x)) 0.05) (* (sqrt (/ 1.0 x)) 0.5) (- (fma x (fma x -0.125 0.5) 1.0) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if ((sqrt((x + 1.0)) - sqrt(x)) <= 0.05) {
tmp = sqrt((1.0 / x)) * 0.5;
} else {
tmp = fma(x, fma(x, -0.125, 0.5), 1.0) - sqrt(x);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) <= 0.05) tmp = Float64(sqrt(Float64(1.0 / x)) * 0.5); else tmp = Float64(fma(x, fma(x, -0.125, 0.5), 1.0) - 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_] := If[LessEqual[N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.05], N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision], N[(N[(x * N[(x * -0.125 + 0.5), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;\sqrt{x + 1} - \sqrt{x} \leq 0.05:\\
\;\;\;\;\sqrt{\frac{1}{x}} \cdot 0.5\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(x, \mathsf{fma}\left(x, -0.125, 0.5\right), 1\right) - \sqrt{x}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.050000000000000003Initial program 88.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.4
Applied rewrites15.4%
Taylor expanded in z around inf
Applied rewrites5.4%
Taylor expanded in y around inf
Applied rewrites3.5%
Taylor expanded in x around inf
Applied rewrites8.6%
if 0.050000000000000003 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 97.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6416.5
Applied rewrites16.5%
Taylor expanded in z around inf
Applied rewrites34.2%
Taylor expanded in y around inf
Applied rewrites25.7%
Taylor expanded in x around 0
Applied rewrites25.7%
Final simplification16.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (fma x 0.5 1.0) (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return fma(x, 0.5, 1.0) - sqrt(x);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(fma(x, 0.5, 1.0) - sqrt(x)) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(x * 0.5 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\mathsf{fma}\left(x, 0.5, 1\right) - \sqrt{x}
\end{array}
Initial program 92.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.9
Applied rewrites15.9%
Taylor expanded in z around inf
Applied rewrites18.3%
Taylor expanded in y around inf
Applied rewrites13.5%
Taylor expanded in x around 0
Applied rewrites14.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- 1.0 (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 1.0 - sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 1.0d0 - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 1.0 - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 1.0 - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(1.0 - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 1.0 - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
1 - \sqrt{x}
\end{array}
Initial program 92.5%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.9
Applied rewrites15.9%
Taylor expanded in z around inf
Applied rewrites18.3%
Taylor expanded in y around inf
Applied rewrites13.5%
Taylor expanded in x around 0
Applied rewrites12.3%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024238
(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))))