
(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 27 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= (- t_3 (sqrt y)) 5e-5)
(+
(+ (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_4))) (- t_1 (sqrt z)))
t_2)
(+
(+
(/ (- (+ 1.0 z) z) (+ (sqrt z) t_1))
(- (- t_4 (sqrt x)) (- (sqrt y) t_3)))
t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((1.0 + x));
double tmp;
if ((t_3 - sqrt(y)) <= 5e-5) {
tmp = (fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_4))) + (t_1 - sqrt(z))) + t_2;
} else {
tmp = ((((1.0 + z) - z) / (sqrt(z) + t_1)) + ((t_4 - sqrt(x)) - (sqrt(y) - t_3))) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + y)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_3 - sqrt(y)) <= 5e-5) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_4))) + Float64(t_1 - sqrt(z))) + t_2); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_1)) + Float64(Float64(t_4 - sqrt(x)) - Float64(sqrt(y) - t_3))) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 5e-5], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_3 - \sqrt{y} \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_4}\right) + \left(t\_1 - \sqrt{z}\right)\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\left(1 + z\right) - z}{\sqrt{z} + t\_1} + \left(\left(t\_4 - \sqrt{x}\right) - \left(\sqrt{y} - t\_3\right)\right)\right) + t\_2\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 5.00000000000000024e-5Initial program 86.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites87.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6490.3
Applied rewrites90.3%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6493.2
Applied rewrites93.2%
if 5.00000000000000024e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.7
Applied rewrites97.7%
Final simplification95.7%
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) (+ (sqrt z) (sqrt y))))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (+ 1.0 z)))
(t_4 (sqrt (+ 1.0 x)))
(t_5
(+
(+ (- (- t_4 (sqrt x)) (- (sqrt y) t_2)) (- t_3 (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t)))))
(if (<= t_5 1.0)
(+ 1.0 (- (+ t_3 t_2) t_1))
(if (<= t_5 2.0)
(- (+ t_4 t_2) (+ (sqrt x) (sqrt y)))
(if (<= t_5 3.5)
(- (+ (+ 1.0 t_2) t_3) t_1)
(- (+ (fma 0.5 t t_3) (+ (+ 1.0 t_4) t_2)) (sqrt t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(x) + (sqrt(z) + sqrt(y));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 + z));
double t_4 = sqrt((1.0 + x));
double t_5 = (((t_4 - sqrt(x)) - (sqrt(y) - t_2)) + (t_3 - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
double tmp;
if (t_5 <= 1.0) {
tmp = 1.0 + ((t_3 + t_2) - t_1);
} else if (t_5 <= 2.0) {
tmp = (t_4 + t_2) - (sqrt(x) + sqrt(y));
} else if (t_5 <= 3.5) {
tmp = ((1.0 + t_2) + t_3) - t_1;
} else {
tmp = (fma(0.5, t, t_3) + ((1.0 + t_4) + t_2)) - sqrt(t);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(1.0 + z)) t_4 = sqrt(Float64(1.0 + x)) t_5 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) - Float64(sqrt(y) - t_2)) + Float64(t_3 - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(1.0 + Float64(Float64(t_3 + t_2) - t_1)); elseif (t_5 <= 2.0) tmp = Float64(Float64(t_4 + t_2) - Float64(sqrt(x) + sqrt(y))); elseif (t_5 <= 3.5) tmp = Float64(Float64(Float64(1.0 + t_2) + t_3) - t_1); else tmp = Float64(Float64(fma(0.5, t, t_3) + Float64(Float64(1.0 + t_4) + t_2)) - sqrt(t)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(1.0 + N[(N[(t$95$3 + t$95$2), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(t$95$4 + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 3.5], N[(N[(N[(1.0 + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] - t$95$1), $MachinePrecision], N[(N[(N[(0.5 * t + t$95$3), $MachinePrecision] + N[(N[(1.0 + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{1 + z}\\
t_4 := \sqrt{1 + x}\\
t_5 := \left(\left(\left(t\_4 - \sqrt{x}\right) - \left(\sqrt{y} - t\_2\right)\right) + \left(t\_3 - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;1 + \left(\left(t\_3 + t\_2\right) - t\_1\right)\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\left(t\_4 + t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{elif}\;t\_5 \leq 3.5:\\
\;\;\;\;\left(\left(1 + t\_2\right) + t\_3\right) - t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, t\_3\right) + \left(\left(1 + t\_4\right) + t\_2\right)\right) - \sqrt{t}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 78.4%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Taylor expanded in x around 0
Applied rewrites36.4%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites19.8%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 97.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6434.8
Applied rewrites34.8%
Taylor expanded in x around 0
Applied rewrites33.5%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.6%
Taylor expanded in t around 0
lower--.f64N/A
Applied rewrites99.9%
Taylor expanded in t around inf
Applied rewrites84.6%
Final simplification31.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ 1.0 x)))
(t_4
(+
(+ (- (- t_3 (sqrt x)) (- (sqrt y) t_1)) (- t_2 (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t))))
(t_5 (+ 1.0 (- (+ t_2 t_1) (+ (sqrt x) (+ (sqrt z) (sqrt y)))))))
(if (<= t_4 1.0)
t_5
(if (<= t_4 2.0)
(- (+ t_3 t_1) (+ (sqrt x) (sqrt y)))
(if (<= t_4 3.5)
t_5
(- (+ (fma 0.5 t t_2) (+ (+ 1.0 t_3) t_1)) (sqrt t)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + x));
double t_4 = (((t_3 - sqrt(x)) - (sqrt(y) - t_1)) + (t_2 - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
double t_5 = 1.0 + ((t_2 + t_1) - (sqrt(x) + (sqrt(z) + sqrt(y))));
double tmp;
if (t_4 <= 1.0) {
tmp = t_5;
} else if (t_4 <= 2.0) {
tmp = (t_3 + t_1) - (sqrt(x) + sqrt(y));
} else if (t_4 <= 3.5) {
tmp = t_5;
} else {
tmp = (fma(0.5, t, t_2) + ((1.0 + t_3) + t_1)) - sqrt(t);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(1.0 + x)) t_4 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) - Float64(sqrt(y) - t_1)) + Float64(t_2 - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) t_5 = Float64(1.0 + Float64(Float64(t_2 + t_1) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))) tmp = 0.0 if (t_4 <= 1.0) tmp = t_5; elseif (t_4 <= 2.0) tmp = Float64(Float64(t_3 + t_1) - Float64(sqrt(x) + sqrt(y))); elseif (t_4 <= 3.5) tmp = t_5; else tmp = Float64(Float64(fma(0.5, t, t_2) + Float64(Float64(1.0 + t_3) + t_1)) - sqrt(t)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(1.0 + N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], t$95$5, If[LessEqual[t$95$4, 2.0], N[(N[(t$95$3 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 3.5], t$95$5, N[(N[(N[(0.5 * t + t$95$2), $MachinePrecision] + N[(N[(1.0 + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + x}\\
t_4 := \left(\left(\left(t\_3 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
t_5 := 1 + \left(\left(t\_2 + t\_1\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(t\_3 + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{elif}\;t\_4 \leq 3.5:\\
\;\;\;\;t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, t\_2\right) + \left(\left(1 + t\_3\right) + t\_1\right)\right) - \sqrt{t}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1 or 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 88.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6420.4
Applied rewrites20.4%
Taylor expanded in x around 0
Applied rewrites38.5%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.6
Applied rewrites4.6%
Taylor expanded in z around inf
Applied rewrites19.8%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.6%
Taylor expanded in t around 0
lower--.f64N/A
Applied rewrites99.9%
Taylor expanded in t around inf
Applied rewrites84.6%
Final simplification33.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_5 (sqrt (+ 1.0 x)))
(t_6 (- (sqrt y) t_1))
(t_7 (+ (+ (- (- t_5 (sqrt x)) t_6) t_3) t_4)))
(if (<= t_7 0.2)
(+ (+ (* (sqrt (/ 1.0 x)) 0.5) t_3) t_4)
(if (<= t_7 3.5)
(+ (- (- (- t_2 (sqrt x)) (sqrt z)) t_6) t_5)
(- (+ (fma 0.5 t t_2) (+ (+ 1.0 t_5) t_1)) (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double t_5 = sqrt((1.0 + x));
double t_6 = sqrt(y) - t_1;
double t_7 = (((t_5 - sqrt(x)) - t_6) + t_3) + t_4;
double tmp;
if (t_7 <= 0.2) {
tmp = ((sqrt((1.0 / x)) * 0.5) + t_3) + t_4;
} else if (t_7 <= 3.5) {
tmp = (((t_2 - sqrt(x)) - sqrt(z)) - t_6) + t_5;
} else {
tmp = (fma(0.5, t, t_2) + ((1.0 + t_5) + t_1)) - sqrt(t);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + x)) t_6 = Float64(sqrt(y) - t_1) t_7 = Float64(Float64(Float64(Float64(t_5 - sqrt(x)) - t_6) + t_3) + t_4) tmp = 0.0 if (t_7 <= 0.2) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) * 0.5) + t_3) + t_4); elseif (t_7 <= 3.5) tmp = Float64(Float64(Float64(Float64(t_2 - sqrt(x)) - sqrt(z)) - t_6) + t_5); else tmp = Float64(Float64(fma(0.5, t, t_2) + Float64(Float64(1.0 + t_5) + t_1)) - sqrt(t)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$7, 0.2], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$7, 3.5], N[(N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision] + t$95$5), $MachinePrecision], N[(N[(N[(0.5 * t + t$95$2), $MachinePrecision] + N[(N[(1.0 + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
t_5 := \sqrt{1 + x}\\
t_6 := \sqrt{y} - t\_1\\
t_7 := \left(\left(\left(t\_5 - \sqrt{x}\right) - t\_6\right) + t\_3\right) + t\_4\\
\mathbf{if}\;t\_7 \leq 0.2:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} \cdot 0.5 + t\_3\right) + t\_4\\
\mathbf{elif}\;t\_7 \leq 3.5:\\
\;\;\;\;\left(\left(\left(t\_2 - \sqrt{x}\right) - \sqrt{z}\right) - t\_6\right) + t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, t\_2\right) + \left(\left(1 + t\_5\right) + t\_1\right)\right) - \sqrt{t}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.20000000000000001Initial program 25.1%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites25.9%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6452.9
Applied rewrites52.9%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6450.6
Applied rewrites50.6%
Taylor expanded in x around inf
Applied rewrites42.6%
if 0.20000000000000001 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 96.9%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6415.1
Applied rewrites15.1%
Applied rewrites22.8%
Applied rewrites38.0%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.6%
Taylor expanded in t around 0
lower--.f64N/A
Applied rewrites99.9%
Taylor expanded in t around inf
Applied rewrites84.6%
Final simplification40.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_5 (sqrt (+ 1.0 x)))
(t_6 (+ (+ (- (- t_5 (sqrt x)) (- (sqrt y) t_1)) t_3) t_4)))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) 1.0)) t_3) t_4)
(if (<= t_6 3.5)
(- (+ (fma 0.5 x (- 1.0 (sqrt x))) t_1) (- (sqrt y) t_3))
(- (+ (fma 0.5 t t_2) (+ (+ 1.0 t_5) t_1)) (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double t_5 = sqrt((1.0 + x));
double t_6 = (((t_5 - sqrt(x)) - (sqrt(y) - t_1)) + t_3) + t_4;
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + 1.0)) + t_3) + t_4;
} else if (t_6 <= 3.5) {
tmp = (fma(0.5, x, (1.0 - sqrt(x))) + t_1) - (sqrt(y) - t_3);
} else {
tmp = (fma(0.5, t, t_2) + ((1.0 + t_5) + t_1)) - sqrt(t);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_5 = sqrt(Float64(1.0 + x)) t_6 = Float64(Float64(Float64(Float64(t_5 - sqrt(x)) - Float64(sqrt(y) - t_1)) + t_3) + t_4) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + 1.0)) + t_3) + t_4); elseif (t_6 <= 3.5) tmp = Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_1) - Float64(sqrt(y) - t_3)); else tmp = Float64(Float64(fma(0.5, t, t_2) + Float64(Float64(1.0 + t_5) + t_1)) - sqrt(t)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 3.5], N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * t + t$95$2), $MachinePrecision] + N[(N[(1.0 + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
t_5 := \sqrt{1 + x}\\
t_6 := \left(\left(\left(t\_5 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) + t\_3\right) + t\_4\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + 1} + t\_3\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 3.5:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_1\right) - \left(\sqrt{y} - t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, t\_2\right) + \left(\left(1 + t\_5\right) + t\_1\right)\right) - \sqrt{t}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 78.4%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites78.6%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6469.2
Applied rewrites69.2%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6465.8
Applied rewrites65.8%
Taylor expanded in x around 0
Applied rewrites57.9%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 97.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6459.5
Applied rewrites59.5%
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-+.f64N/A
lift--.f64N/A
associate-+r-N/A
Applied rewrites28.5%
Taylor expanded in t around inf
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6428.2
Applied rewrites28.2%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.6%
Taylor expanded in t around 0
lower--.f64N/A
Applied rewrites99.9%
Taylor expanded in t around inf
Applied rewrites84.6%
Final simplification38.5%
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 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ 1.0 x)))
(t_5
(+
(+ (- (- t_4 (sqrt x)) (- (sqrt y) t_1)) t_3)
(- (sqrt (+ 1.0 t)) (sqrt t)))))
(if (<= t_5 1.0)
(+ 1.0 (- (+ t_2 t_1) (+ (sqrt x) (+ (sqrt z) (sqrt y)))))
(if (<= t_5 3.5)
(- (+ (fma 0.5 x (- 1.0 (sqrt x))) t_1) (- (sqrt y) t_3))
(- (+ (fma 0.5 t t_2) (+ (+ 1.0 t_4) t_1)) (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((1.0 + x));
double t_5 = (((t_4 - sqrt(x)) - (sqrt(y) - t_1)) + t_3) + (sqrt((1.0 + t)) - sqrt(t));
double tmp;
if (t_5 <= 1.0) {
tmp = 1.0 + ((t_2 + t_1) - (sqrt(x) + (sqrt(z) + sqrt(y))));
} else if (t_5 <= 3.5) {
tmp = (fma(0.5, x, (1.0 - sqrt(x))) + t_1) - (sqrt(y) - t_3);
} else {
tmp = (fma(0.5, t, t_2) + ((1.0 + t_4) + t_1)) - sqrt(t);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(1.0 + x)) t_5 = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) - Float64(sqrt(y) - t_1)) + t_3) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(1.0 + Float64(Float64(t_2 + t_1) - Float64(sqrt(x) + Float64(sqrt(z) + sqrt(y))))); elseif (t_5 <= 3.5) tmp = Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) + t_1) - Float64(sqrt(y) - t_3)); else tmp = Float64(Float64(fma(0.5, t, t_2) + Float64(Float64(1.0 + t_4) + t_1)) - sqrt(t)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(1.0 + N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 3.5], N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * t + t$95$2), $MachinePrecision] + N[(N[(1.0 + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{1 + x}\\
t_5 := \left(\left(\left(t\_4 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) + t\_3\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;1 + \left(\left(t\_2 + t\_1\right) - \left(\sqrt{x} + \left(\sqrt{z} + \sqrt{y}\right)\right)\right)\\
\mathbf{elif}\;t\_5 \leq 3.5:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) + t\_1\right) - \left(\sqrt{y} - t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, t\_2\right) + \left(\left(1 + t\_4\right) + t\_1\right)\right) - \sqrt{t}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 78.4%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f643.2
Applied rewrites3.2%
Taylor expanded in x around 0
Applied rewrites36.4%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 97.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6459.5
Applied rewrites59.5%
lift-+.f64N/A
lift-+.f64N/A
associate-+l+N/A
lift-+.f64N/A
lift--.f64N/A
associate-+r-N/A
Applied rewrites28.5%
Taylor expanded in t around inf
lower--.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6428.2
Applied rewrites28.2%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.6%
Taylor expanded in t around 0
lower--.f64N/A
Applied rewrites99.9%
Taylor expanded in t around inf
Applied rewrites84.6%
Final simplification32.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (+ t_3 t_1))
(t_5
(+
(+ (- (- t_3 (sqrt x)) (- (sqrt y) t_1)) (- t_2 (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t)))))
(if (<= t_5 2.6)
(- t_4 (+ (sqrt x) (sqrt y)))
(if (<= t_5 3.5)
(+ (- (- (fma (fma -0.125 z 0.5) z 1.0) (sqrt x)) (sqrt y)) t_4)
(- (+ (fma 0.5 t t_2) (+ (+ 1.0 t_3) t_1)) (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + x));
double t_4 = t_3 + t_1;
double t_5 = (((t_3 - sqrt(x)) - (sqrt(y) - t_1)) + (t_2 - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
double tmp;
if (t_5 <= 2.6) {
tmp = t_4 - (sqrt(x) + sqrt(y));
} else if (t_5 <= 3.5) {
tmp = ((fma(fma(-0.125, z, 0.5), z, 1.0) - sqrt(x)) - sqrt(y)) + t_4;
} else {
tmp = (fma(0.5, t, t_2) + ((1.0 + t_3) + t_1)) - sqrt(t);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(1.0 + x)) t_4 = Float64(t_3 + t_1) t_5 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) - Float64(sqrt(y) - t_1)) + Float64(t_2 - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) tmp = 0.0 if (t_5 <= 2.6) tmp = Float64(t_4 - Float64(sqrt(x) + sqrt(y))); elseif (t_5 <= 3.5) tmp = Float64(Float64(Float64(fma(fma(-0.125, z, 0.5), z, 1.0) - sqrt(x)) - sqrt(y)) + t_4); else tmp = Float64(Float64(fma(0.5, t, t_2) + Float64(Float64(1.0 + t_3) + t_1)) - sqrt(t)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 2.6], N[(t$95$4 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 3.5], N[(N[(N[(N[(N[(-0.125 * z + 0.5), $MachinePrecision] * z + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(0.5 * t + t$95$2), $MachinePrecision] + N[(N[(1.0 + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + x}\\
t_4 := t\_3 + t\_1\\
t_5 := \left(\left(\left(t\_3 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
\mathbf{if}\;t\_5 \leq 2.6:\\
\;\;\;\;t\_4 - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{elif}\;t\_5 \leq 3.5:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.125, z, 0.5\right), z, 1\right) - \sqrt{x}\right) - \sqrt{y}\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, t\_2\right) + \left(\left(1 + t\_3\right) + t\_1\right)\right) - \sqrt{t}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.60000000000000009Initial program 89.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.1
Applied rewrites5.1%
Taylor expanded in z around inf
Applied rewrites13.3%
if 2.60000000000000009 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 98.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.2
Applied rewrites35.2%
Applied rewrites39.8%
Taylor expanded in y around inf
Applied rewrites35.0%
Taylor expanded in z around 0
Applied rewrites33.4%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.6%
Taylor expanded in t around 0
lower--.f64N/A
Applied rewrites99.9%
Taylor expanded in t around inf
Applied rewrites84.6%
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 (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (+ t_3 t_1))
(t_5
(+
(+ (- (- t_3 (sqrt x)) (- (sqrt y) t_1)) (- t_2 (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t)))))
(if (<= t_5 2.6)
(- t_4 (+ (sqrt x) (sqrt y)))
(if (<= t_5 3.5)
(+ (- (- (fma 0.5 z 1.0) (sqrt x)) (sqrt y)) t_4)
(- (+ (fma 0.5 t t_2) (+ (+ 1.0 t_3) t_1)) (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + x));
double t_4 = t_3 + t_1;
double t_5 = (((t_3 - sqrt(x)) - (sqrt(y) - t_1)) + (t_2 - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
double tmp;
if (t_5 <= 2.6) {
tmp = t_4 - (sqrt(x) + sqrt(y));
} else if (t_5 <= 3.5) {
tmp = ((fma(0.5, z, 1.0) - sqrt(x)) - sqrt(y)) + t_4;
} else {
tmp = (fma(0.5, t, t_2) + ((1.0 + t_3) + t_1)) - sqrt(t);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = sqrt(Float64(1.0 + x)) t_4 = Float64(t_3 + t_1) t_5 = Float64(Float64(Float64(Float64(t_3 - sqrt(x)) - Float64(sqrt(y) - t_1)) + Float64(t_2 - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) tmp = 0.0 if (t_5 <= 2.6) tmp = Float64(t_4 - Float64(sqrt(x) + sqrt(y))); elseif (t_5 <= 3.5) tmp = Float64(Float64(Float64(fma(0.5, z, 1.0) - sqrt(x)) - sqrt(y)) + t_4); else tmp = Float64(Float64(fma(0.5, t, t_2) + Float64(Float64(1.0 + t_3) + t_1)) - sqrt(t)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 2.6], N[(t$95$4 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 3.5], N[(N[(N[(N[(0.5 * z + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(0.5 * t + t$95$2), $MachinePrecision] + N[(N[(1.0 + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + x}\\
t_4 := t\_3 + t\_1\\
t_5 := \left(\left(\left(t\_3 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)\\
\mathbf{if}\;t\_5 \leq 2.6:\\
\;\;\;\;t\_4 - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{elif}\;t\_5 \leq 3.5:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z, 1\right) - \sqrt{x}\right) - \sqrt{y}\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, t\_2\right) + \left(\left(1 + t\_3\right) + t\_1\right)\right) - \sqrt{t}\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.60000000000000009Initial program 89.0%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f645.1
Applied rewrites5.1%
Taylor expanded in z around inf
Applied rewrites13.3%
if 2.60000000000000009 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 98.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.2
Applied rewrites35.2%
Applied rewrites39.8%
Taylor expanded in y around inf
Applied rewrites35.0%
Taylor expanded in z around 0
Applied rewrites34.5%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.6%
Taylor expanded in t around 0
lower--.f64N/A
Applied rewrites99.9%
Taylor expanded in t around inf
Applied rewrites84.6%
Final simplification22.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (+ (- (- t_3 (sqrt x)) (- (sqrt y) t_1)) t_2))
(t_5 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_4 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_3)) t_2) t_5)
(if (<= t_4 2.00005)
(+ (+ t_3 t_1) (fma (sqrt (/ 1.0 z)) 0.5 (- (+ (sqrt x) (sqrt y)))))
(+
(+ (+ (- (fma 0.5 y 1.0) (sqrt y)) (fma 0.5 x (- 1.0 (sqrt x)))) t_2)
t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((1.0 + x));
double t_4 = ((t_3 - sqrt(x)) - (sqrt(y) - t_1)) + t_2;
double t_5 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_4 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_3)) + t_2) + t_5;
} else if (t_4 <= 2.00005) {
tmp = (t_3 + t_1) + fma(sqrt((1.0 / z)), 0.5, -(sqrt(x) + sqrt(y)));
} else {
tmp = (((fma(0.5, y, 1.0) - sqrt(y)) + fma(0.5, x, (1.0 - sqrt(x)))) + t_2) + t_5;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(1.0 + x)) t_4 = Float64(Float64(Float64(t_3 - sqrt(x)) - Float64(sqrt(y) - t_1)) + t_2) t_5 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + t_2) + t_5); elseif (t_4 <= 2.00005) tmp = Float64(Float64(t_3 + t_1) + fma(sqrt(Float64(1.0 / z)), 0.5, Float64(-Float64(sqrt(x) + sqrt(y))))); else tmp = Float64(Float64(Float64(Float64(fma(0.5, y, 1.0) - sqrt(y)) + fma(0.5, x, Float64(1.0 - sqrt(x)))) + t_2) + t_5); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(N[(t$95$3 + t$95$1), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + (-N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision])), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * y + 1.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{1 + x}\\
t_4 := \left(\left(t\_3 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) + t\_2\\
t_5 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_3} + t\_2\right) + t\_5\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;\left(t\_3 + t\_1\right) + \mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, -\left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, y, 1\right) - \sqrt{y}\right) + \mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right)\right) + t\_2\right) + t\_5\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 85.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites85.5%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6473.3
Applied rewrites73.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6470.9
Applied rewrites70.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.8
Applied rewrites4.8%
Applied rewrites19.8%
Taylor expanded in z around inf
Applied rewrites21.6%
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 98.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6497.2
Applied rewrites97.2%
Taylor expanded in y around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6493.1
Applied rewrites93.1%
Final simplification52.5%
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 y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (+ (- (- t_3 (sqrt x)) (- (sqrt y) t_1)) t_2))
(t_5 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_4 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_3)) t_2) t_5)
(if (<= t_4 2.00005)
(+ (+ t_3 t_1) (fma (sqrt (/ 1.0 z)) 0.5 (- (+ (sqrt x) (sqrt y)))))
(+ (+ (+ (- 1.0 (sqrt y)) (fma 0.5 x (- 1.0 (sqrt x)))) t_2) t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((1.0 + x));
double t_4 = ((t_3 - sqrt(x)) - (sqrt(y) - t_1)) + t_2;
double t_5 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_4 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_3)) + t_2) + t_5;
} else if (t_4 <= 2.00005) {
tmp = (t_3 + t_1) + fma(sqrt((1.0 / z)), 0.5, -(sqrt(x) + sqrt(y)));
} else {
tmp = (((1.0 - sqrt(y)) + fma(0.5, x, (1.0 - sqrt(x)))) + t_2) + t_5;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(1.0 + x)) t_4 = Float64(Float64(Float64(t_3 - sqrt(x)) - Float64(sqrt(y) - t_1)) + t_2) t_5 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_4 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + t_2) + t_5); elseif (t_4 <= 2.00005) tmp = Float64(Float64(t_3 + t_1) + fma(sqrt(Float64(1.0 / z)), 0.5, Float64(-Float64(sqrt(x) + sqrt(y))))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + fma(0.5, x, Float64(1.0 - sqrt(x)))) + t_2) + t_5); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$4, 2.00005], N[(N[(t$95$3 + t$95$1), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + (-N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision])), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{1 + x}\\
t_4 := \left(\left(t\_3 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) + t\_2\\
t_5 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_3} + t\_2\right) + t\_5\\
\mathbf{elif}\;t\_4 \leq 2.00005:\\
\;\;\;\;\left(t\_3 + t\_1\right) + \mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, -\left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + \mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right)\right) + t\_2\right) + t\_5\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 85.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites85.5%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6473.3
Applied rewrites73.3%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6470.9
Applied rewrites70.9%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.0000499999999999Initial program 96.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.8
Applied rewrites4.8%
Applied rewrites19.8%
Taylor expanded in z around inf
Applied rewrites21.6%
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 98.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6497.2
Applied rewrites97.2%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6490.9
Applied rewrites90.9%
Final simplification52.2%
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 x)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt y) (sqrt (+ 1.0 y))))
(t_5 (- (- t_1 (sqrt x)) t_4))
(t_6 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= t_5 0.2)
(+ (+ (* (sqrt (/ 1.0 x)) 0.5) t_3) t_6)
(if (<= t_5 1.99999999999998)
(+ (- (- (- t_2 (sqrt x)) (sqrt z)) t_4) t_1)
(+ (+ (+ (- 1.0 (sqrt y)) (fma 0.5 x (- 1.0 (sqrt x)))) t_3) t_6)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt(y) - sqrt((1.0 + y));
double t_5 = (t_1 - sqrt(x)) - t_4;
double t_6 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (t_5 <= 0.2) {
tmp = ((sqrt((1.0 / x)) * 0.5) + t_3) + t_6;
} else if (t_5 <= 1.99999999999998) {
tmp = (((t_2 - sqrt(x)) - sqrt(z)) - t_4) + t_1;
} else {
tmp = (((1.0 - sqrt(y)) + fma(0.5, x, (1.0 - sqrt(x)))) + t_3) + t_6;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(y) - sqrt(Float64(1.0 + y))) t_5 = Float64(Float64(t_1 - sqrt(x)) - t_4) t_6 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (t_5 <= 0.2) tmp = Float64(Float64(Float64(sqrt(Float64(1.0 / x)) * 0.5) + t_3) + t_6); elseif (t_5 <= 1.99999999999998) tmp = Float64(Float64(Float64(Float64(t_2 - sqrt(x)) - sqrt(z)) - t_4) + t_1); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + fma(0.5, x, Float64(1.0 - sqrt(x)))) + t_3) + t_6); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[y], $MachinePrecision] - N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 0.2], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$5, 1.99999999999998], N[(N[(N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$6), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{y} - \sqrt{1 + y}\\
t_5 := \left(t\_1 - \sqrt{x}\right) - t\_4\\
t_6 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_5 \leq 0.2:\\
\;\;\;\;\left(\sqrt{\frac{1}{x}} \cdot 0.5 + t\_3\right) + t\_6\\
\mathbf{elif}\;t\_5 \leq 1.99999999999998:\\
\;\;\;\;\left(\left(\left(t\_2 - \sqrt{x}\right) - \sqrt{z}\right) - t\_4\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + \mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right)\right) + t\_3\right) + t\_6\\
\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))) < 0.20000000000000001Initial program 76.6%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites78.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6481.8
Applied rewrites81.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6481.0
Applied rewrites81.0%
Taylor expanded in x around inf
Applied rewrites78.9%
if 0.20000000000000001 < (+.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))) < 1.99999999999998Initial program 97.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f649.3
Applied rewrites9.3%
Applied rewrites11.9%
Applied rewrites36.3%
if 1.99999999999998 < (+.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 98.4%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6498.4
Applied rewrites98.4%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6498.4
Applied rewrites98.4%
Final simplification61.4%
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 x) (sqrt (+ 1.0 x))))
(t_2 (+ (sqrt y) (sqrt (+ 1.0 y)))))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(+ (- (sqrt (+ 1.0 z)) (sqrt z)) (/ (fma 1.0 t_1 t_2) (* t_2 t_1))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(x) + sqrt((1.0 + x));
double t_2 = sqrt(y) + sqrt((1.0 + y));
return (sqrt((1.0 + t)) - sqrt(t)) + ((sqrt((1.0 + z)) - sqrt(z)) + (fma(1.0, t_1, t_2) / (t_2 * t_1)));
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(x) + sqrt(Float64(1.0 + x))) t_2 = Float64(sqrt(y) + sqrt(Float64(1.0 + y))) return Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(fma(1.0, t_1, t_2) / Float64(t_2 * t_1)))) 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[x], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 * t$95$1 + t$95$2), $MachinePrecision] / N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x} + \sqrt{1 + x}\\
t_2 := \sqrt{y} + \sqrt{1 + y}\\
\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \frac{\mathsf{fma}\left(1, t\_1, t\_2\right)}{t\_2 \cdot t\_1}\right)
\end{array}
\end{array}
Initial program 92.3%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites93.2%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6495.1
Applied rewrites95.1%
Taylor expanded in y around 0
Applied rewrites96.1%
Final simplification96.1%
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) (sqrt (+ 1.0 y)))))
(+
(+
(/ (+ (+ (sqrt x) 1.0) t_1) (* t_1 (+ (sqrt x) (sqrt (+ 1.0 x)))))
(- (sqrt (+ 1.0 z)) (sqrt z)))
(- (sqrt (+ 1.0 t)) (sqrt t)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt((1.0 + y));
return ((((sqrt(x) + 1.0) + t_1) / (t_1 * (sqrt(x) + sqrt((1.0 + x))))) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
}
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
t_1 = sqrt(y) + sqrt((1.0d0 + y))
code = ((((sqrt(x) + 1.0d0) + t_1) / (t_1 * (sqrt(x) + sqrt((1.0d0 + x))))) + (sqrt((1.0d0 + z)) - sqrt(z))) + (sqrt((1.0d0 + t)) - sqrt(t))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt(y) + Math.sqrt((1.0 + y));
return ((((Math.sqrt(x) + 1.0) + t_1) / (t_1 * (Math.sqrt(x) + Math.sqrt((1.0 + x))))) + (Math.sqrt((1.0 + z)) - Math.sqrt(z))) + (Math.sqrt((1.0 + t)) - Math.sqrt(t));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt(y) + math.sqrt((1.0 + y)) return ((((math.sqrt(x) + 1.0) + t_1) / (t_1 * (math.sqrt(x) + math.sqrt((1.0 + x))))) + (math.sqrt((1.0 + z)) - math.sqrt(z))) + (math.sqrt((1.0 + t)) - math.sqrt(t))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(Float64(1.0 + y))) return Float64(Float64(Float64(Float64(Float64(sqrt(x) + 1.0) + t_1) / Float64(t_1 * Float64(sqrt(x) + sqrt(Float64(1.0 + x))))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + Float64(sqrt(Float64(1.0 + t)) - sqrt(t))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
t_1 = sqrt(y) + sqrt((1.0 + y));
tmp = ((((sqrt(x) + 1.0) + t_1) / (t_1 * (sqrt(x) + sqrt((1.0 + x))))) + (sqrt((1.0 + z)) - sqrt(z))) + (sqrt((1.0 + t)) - sqrt(t));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] / N[(t$95$1 * N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y} + \sqrt{1 + y}\\
\left(\frac{\left(\sqrt{x} + 1\right) + t\_1}{t\_1 \cdot \left(\sqrt{x} + \sqrt{1 + x}\right)} + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + \left(\sqrt{1 + t} - \sqrt{t}\right)
\end{array}
\end{array}
Initial program 92.3%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites93.2%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6475.0
Applied rewrites75.0%
Final simplification75.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (- (sqrt y) (sqrt (+ 1.0 y)))))
(if (<= (- (- t_2 (sqrt x)) t_4) 0.2)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_3)
(+ (+ (- (fma 0.5 x (- 1.0 (sqrt x))) t_4) t_1) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt(y) - sqrt((1.0 + y));
double tmp;
if (((t_2 - sqrt(x)) - t_4) <= 0.2) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) - t_4) + t_1) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = Float64(sqrt(y) - sqrt(Float64(1.0 + y))) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(x)) - t_4) <= 0.2) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_3); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) - t_4) + t_1) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $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[y], $MachinePrecision] - N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision], 0.2], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{y} - \sqrt{1 + y}\\
\mathbf{if}\;\left(t\_2 - \sqrt{x}\right) - t\_4 \leq 0.2:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) - t\_4\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.20000000000000001Initial program 76.6%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites78.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6481.8
Applied rewrites81.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6481.0
Applied rewrites81.0%
if 0.20000000000000001 < (+.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 97.6%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6467.9
Applied rewrites67.9%
Final simplification71.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- (- t_3 (sqrt x)) (- (sqrt y) t_1)) 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_3)) t_2) t_4)
(+ (+ (- (- (+ (fma 0.5 x 1.0) t_1) (sqrt y)) (sqrt x)) t_2) t_4))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((1.0 + x));
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (((t_3 - sqrt(x)) - (sqrt(y) - t_1)) <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_3)) + t_2) + t_4;
} else {
tmp = ((((fma(0.5, x, 1.0) + t_1) - sqrt(y)) - sqrt(x)) + t_2) + t_4;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(1.0 + x)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(Float64(t_3 - sqrt(x)) - Float64(sqrt(y) - t_1)) <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + t_2) + t_4); else tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_1) - sqrt(y)) - sqrt(x)) + t_2) + t_4); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $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[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision], 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{1 + x}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;\left(t\_3 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right) \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_3} + t\_2\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_1\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_2\right) + t\_4\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1Initial program 89.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites90.7%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6467.2
Applied rewrites67.2%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6465.1
Applied rewrites65.1%
if 1 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 97.3%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6491.7
Applied rewrites91.7%
Final simplification73.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 t)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= (- t_3 (sqrt y)) 5e-5)
(+
(+ (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_4))) t_1)
(- t_2 (sqrt t)))
(+
(/ (- (+ 1.0 t) t) (+ (sqrt t) t_2))
(+ (- (- t_4 (sqrt x)) (- (sqrt y) t_3)) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + t));
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((1.0 + x));
double tmp;
if ((t_3 - sqrt(y)) <= 5e-5) {
tmp = (fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_4))) + t_1) + (t_2 - sqrt(t));
} else {
tmp = (((1.0 + t) - t) / (sqrt(t) + t_2)) + (((t_4 - sqrt(x)) - (sqrt(y) - t_3)) + t_1);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + t)) t_3 = sqrt(Float64(1.0 + y)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_3 - sqrt(y)) <= 5e-5) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_4))) + t_1) + Float64(t_2 - sqrt(t))); else tmp = Float64(Float64(Float64(Float64(1.0 + t) - t) / Float64(sqrt(t) + t_2)) + Float64(Float64(Float64(t_4 - sqrt(x)) - Float64(sqrt(y) - t_3)) + 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 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 5e-5], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(t$95$2 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 + t), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + t}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_3 - \sqrt{y} \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_4}\right) + t\_1\right) + \left(t\_2 - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + t\right) - t}{\sqrt{t} + t\_2} + \left(\left(\left(t\_4 - \sqrt{x}\right) - \left(\sqrt{y} - t\_3\right)\right) + t\_1\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 5.00000000000000024e-5Initial program 86.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites87.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6490.3
Applied rewrites90.3%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6493.2
Applied rewrites93.2%
if 5.00000000000000024e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.8
Applied rewrites97.8%
Final simplification95.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (- (sqrt y) (sqrt (+ 1.0 y)))))
(if (<= (- (- t_2 (sqrt x)) t_4) 0.2)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_1) t_3)
(+ (+ (- (- 1.0 (sqrt x)) t_4) t_1) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt(y) - sqrt((1.0 + y));
double tmp;
if (((t_2 - sqrt(x)) - t_4) <= 0.2) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
} else {
tmp = (((1.0 - sqrt(x)) - t_4) + t_1) + t_3;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt(y) - sqrt((1.0d0 + y))
if (((t_2 - sqrt(x)) - t_4) <= 0.2d0) then
tmp = ((1.0d0 / (sqrt(x) + t_2)) + t_1) + t_3
else
tmp = (((1.0d0 - sqrt(x)) - t_4) + t_1) + t_3
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt(y) - Math.sqrt((1.0 + y));
double tmp;
if (((t_2 - Math.sqrt(x)) - t_4) <= 0.2) {
tmp = ((1.0 / (Math.sqrt(x) + t_2)) + t_1) + t_3;
} else {
tmp = (((1.0 - Math.sqrt(x)) - t_4) + t_1) + t_3;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt(y) - math.sqrt((1.0 + y)) tmp = 0 if ((t_2 - math.sqrt(x)) - t_4) <= 0.2: tmp = ((1.0 / (math.sqrt(x) + t_2)) + t_1) + t_3 else: tmp = (((1.0 - math.sqrt(x)) - t_4) + t_1) + t_3 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = Float64(sqrt(y) - sqrt(Float64(1.0 + y))) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(x)) - t_4) <= 0.2) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_1) + t_3); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(x)) - t_4) + t_1) + t_3); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt(y) - sqrt((1.0 + y));
tmp = 0.0;
if (((t_2 - sqrt(x)) - t_4) <= 0.2)
tmp = ((1.0 / (sqrt(x) + t_2)) + t_1) + t_3;
else
tmp = (((1.0 - sqrt(x)) - t_4) + t_1) + t_3;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $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[y], $MachinePrecision] - N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision], 0.2], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{y} - \sqrt{1 + y}\\
\mathbf{if}\;\left(t\_2 - \sqrt{x}\right) - t\_4 \leq 0.2:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_1\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{x}\right) - t\_4\right) + t\_1\right) + t\_3\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.20000000000000001Initial program 76.6%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites78.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6481.8
Applied rewrites81.8%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6481.0
Applied rewrites81.0%
if 0.20000000000000001 < (+.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 97.6%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6466.2
Applied rewrites66.2%
Final simplification69.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- t_1 (sqrt y)) 0.001)
(+
(+
(fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) (sqrt (+ 1.0 x)))))
(- t_2 (sqrt z)))
t_3)
(+
(+
(- (fma 0.5 x (- 1.0 (sqrt x))) (- (sqrt y) t_1))
(/ (- (+ 1.0 z) z) (+ (sqrt z) t_2)))
t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((t_1 - sqrt(y)) <= 0.001) {
tmp = (fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + sqrt((1.0 + x))))) + (t_2 - sqrt(z))) + t_3;
} else {
tmp = ((fma(0.5, x, (1.0 - sqrt(x))) - (sqrt(y) - t_1)) + (((1.0 + z) - z) / (sqrt(z) + t_2))) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(t_1 - sqrt(y)) <= 0.001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(1.0 + x))))) + Float64(t_2 - sqrt(z))) + t_3); else tmp = Float64(Float64(Float64(fma(0.5, x, Float64(1.0 - sqrt(x))) - Float64(sqrt(y) - t_1)) + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_2))) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.001], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[(0.5 * x + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_1 - \sqrt{y} \leq 0.001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + \sqrt{1 + x}}\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, x, 1 - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) + \frac{\left(1 + z\right) - z}{\sqrt{z} + t\_2}\right) + t\_3\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 1e-3Initial program 86.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites87.4%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6490.4
Applied rewrites90.4%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6493.2
Applied rewrites93.2%
if 1e-3 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6455.0
Applied rewrites55.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lower-+.f6455.1
Applied rewrites55.1%
Final simplification72.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= (- t_3 (sqrt y)) 5e-5)
(+ (+ (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_4))) t_1) t_2)
(+ (+ (- (- t_4 (sqrt x)) (- (sqrt y) t_3)) t_1) t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((1.0 + x));
double tmp;
if ((t_3 - sqrt(y)) <= 5e-5) {
tmp = (fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_4))) + t_1) + t_2;
} else {
tmp = (((t_4 - sqrt(x)) - (sqrt(y) - t_3)) + t_1) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + y)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_3 - sqrt(y)) <= 5e-5) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_4))) + t_1) + t_2); else tmp = Float64(Float64(Float64(Float64(t_4 - sqrt(x)) - Float64(sqrt(y) - t_3)) + t_1) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 5e-5], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_3 - \sqrt{y} \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_4}\right) + t\_1\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_4 - \sqrt{x}\right) - \left(\sqrt{y} - t\_3\right)\right) + t\_1\right) + t\_2\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 5.00000000000000024e-5Initial program 86.0%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites87.3%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6490.3
Applied rewrites90.3%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6493.2
Applied rewrites93.2%
if 5.00000000000000024e-5 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.6%
Final simplification95.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- t_3 (sqrt y)) 0.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_1)) t_2) t_4)
(+ (+ (- (- t_1 (sqrt x)) (- (sqrt y) t_3)) t_2) t_4))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((t_3 - sqrt(y)) <= 0.0) {
tmp = ((1.0 / (sqrt(x) + t_1)) + t_2) + t_4;
} else {
tmp = (((t_1 - sqrt(x)) - (sqrt(y) - t_3)) + t_2) + t_4;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = sqrt((1.0d0 + z)) - sqrt(z)
t_3 = sqrt((1.0d0 + y))
t_4 = sqrt((1.0d0 + t)) - sqrt(t)
if ((t_3 - sqrt(y)) <= 0.0d0) then
tmp = ((1.0d0 / (sqrt(x) + t_1)) + t_2) + t_4
else
tmp = (((t_1 - sqrt(x)) - (sqrt(y) - t_3)) + t_2) + t_4
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double t_2 = Math.sqrt((1.0 + z)) - Math.sqrt(z);
double t_3 = Math.sqrt((1.0 + y));
double t_4 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double tmp;
if ((t_3 - Math.sqrt(y)) <= 0.0) {
tmp = ((1.0 / (Math.sqrt(x) + t_1)) + t_2) + t_4;
} else {
tmp = (((t_1 - Math.sqrt(x)) - (Math.sqrt(y) - t_3)) + t_2) + t_4;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) t_2 = math.sqrt((1.0 + z)) - math.sqrt(z) t_3 = math.sqrt((1.0 + y)) t_4 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if (t_3 - math.sqrt(y)) <= 0.0: tmp = ((1.0 / (math.sqrt(x) + t_1)) + t_2) + t_4 else: tmp = (((t_1 - math.sqrt(x)) - (math.sqrt(y) - t_3)) + t_2) + t_4 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(t_3 - sqrt(y)) <= 0.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_1)) + t_2) + t_4); else tmp = Float64(Float64(Float64(Float64(t_1 - sqrt(x)) - Float64(sqrt(y) - t_3)) + t_2) + t_4); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
t_2 = sqrt((1.0 + z)) - sqrt(z);
t_3 = sqrt((1.0 + y));
t_4 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if ((t_3 - sqrt(y)) <= 0.0)
tmp = ((1.0 / (sqrt(x) + t_1)) + t_2) + t_4;
else
tmp = (((t_1 - sqrt(x)) - (sqrt(y) - t_3)) + t_2) + t_4;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_3 - \sqrt{y} \leq 0:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_1} + t\_2\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_1 - \sqrt{x}\right) - \left(\sqrt{y} - t\_3\right)\right) + t\_2\right) + t\_4\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 86.3%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites86.7%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6491.6
Applied rewrites91.6%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6490.9
Applied rewrites90.9%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.0%
Final simplification94.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= x 88000000.0)
(+ (+ (- (- (sqrt (+ 1.0 x)) (sqrt x)) (- (sqrt y) t_1)) t_2) t_3)
(+ (+ (fma (sqrt (/ 1.0 x)) 0.5 (/ 1.0 (+ (sqrt y) t_1))) t_2) t_3))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if (x <= 88000000.0) {
tmp = (((sqrt((1.0 + x)) - sqrt(x)) - (sqrt(y) - t_1)) + t_2) + t_3;
} else {
tmp = (fma(sqrt((1.0 / x)), 0.5, (1.0 / (sqrt(y) + t_1))) + t_2) + t_3;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (x <= 88000000.0) tmp = Float64(Float64(Float64(Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) - Float64(sqrt(y) - t_1)) + t_2) + t_3); else tmp = Float64(Float64(fma(sqrt(Float64(1.0 / x)), 0.5, Float64(1.0 / Float64(sqrt(y) + t_1))) + t_2) + t_3); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $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]}, If[LessEqual[x, 88000000.0], N[(N[(N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;x \leq 88000000:\\
\;\;\;\;\left(\left(\left(\sqrt{1 + x} - \sqrt{x}\right) - \left(\sqrt{y} - t\_1\right)\right) + t\_2\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, \frac{1}{\sqrt{y} + t\_1}\right) + t\_2\right) + t\_3\\
\end{array}
\end{array}
if x < 8.8e7Initial program 97.8%
if 8.8e7 < x Initial program 86.1%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites87.4%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6452.0
Applied rewrites52.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f6493.1
Applied rewrites93.1%
Final simplification95.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z))) (t_2 (sqrt (+ 1.0 y))) (t_3 (sqrt (+ 1.0 x))))
(if (<= (- (sqrt (+ 1.0 t)) (sqrt t)) 0.1)
(+ (- (- (- t_1 (sqrt x)) (sqrt z)) (- (sqrt y) t_2)) t_3)
(- (+ (fma 0.5 t t_1) (+ (+ 1.0 t_3) t_2)) (sqrt t)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 + x));
double tmp;
if ((sqrt((1.0 + t)) - sqrt(t)) <= 0.1) {
tmp = (((t_1 - sqrt(x)) - sqrt(z)) - (sqrt(y) - t_2)) + t_3;
} else {
tmp = (fma(0.5, t, t_1) + ((1.0 + t_3) + t_2)) - sqrt(t);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) <= 0.1) tmp = Float64(Float64(Float64(Float64(t_1 - sqrt(x)) - sqrt(z)) - Float64(sqrt(y) - t_2)) + t_3); else tmp = Float64(Float64(fma(0.5, t, t_1) + Float64(Float64(1.0 + t_3) + t_2)) - sqrt(t)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision], 0.1], N[(N[(N[(N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], N[(N[(N[(0.5 * t + t$95$1), $MachinePrecision] + N[(N[(1.0 + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{1 + x}\\
\mathbf{if}\;\sqrt{1 + t} - \sqrt{t} \leq 0.1:\\
\;\;\;\;\left(\left(\left(t\_1 - \sqrt{x}\right) - \sqrt{z}\right) - \left(\sqrt{y} - t\_2\right)\right) + t\_3\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, t\_1\right) + \left(\left(1 + t\_3\right) + t\_2\right)\right) - \sqrt{t}\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) < 0.10000000000000001Initial program 88.7%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6421.0
Applied rewrites21.0%
Applied rewrites30.5%
Applied rewrites51.9%
if 0.10000000000000001 < (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t)) Initial program 97.0%
Taylor expanded in t around 0
lower--.f64N/A
Applied rewrites16.4%
Taylor expanded in t around inf
Applied rewrites14.2%
Final simplification35.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y)))))
(if (<= (- (sqrt (+ 1.0 z)) (sqrt z)) 0.6)
(- t_1 (+ (sqrt x) (sqrt y)))
(+ (- (- (fma 0.5 z 1.0) (sqrt x)) (sqrt y)) 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 + x)) + sqrt((1.0 + y));
double tmp;
if ((sqrt((1.0 + z)) - sqrt(z)) <= 0.6) {
tmp = t_1 - (sqrt(x) + sqrt(y));
} else {
tmp = ((fma(0.5, z, 1.0) - sqrt(x)) - sqrt(y)) + 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 + x)) + sqrt(Float64(1.0 + y))) tmp = 0.0 if (Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) <= 0.6) tmp = Float64(t_1 - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(Float64(Float64(fma(0.5, z, 1.0) - sqrt(x)) - sqrt(y)) + 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 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.6], N[(t$95$1 - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(0.5 * z + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $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 + x} + \sqrt{1 + y}\\
\mathbf{if}\;\sqrt{1 + z} - \sqrt{z} \leq 0.6:\\
\;\;\;\;t\_1 - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(0.5, z, 1\right) - \sqrt{x}\right) - \sqrt{y}\right) + t\_1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.599999999999999978Initial program 85.5%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f644.7
Applied rewrites4.7%
Taylor expanded in z around inf
Applied rewrites21.0%
if 0.599999999999999978 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.8%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6422.6
Applied rewrites22.6%
Applied rewrites22.6%
Taylor expanded in y around inf
Applied rewrites22.0%
Taylor expanded in z around 0
Applied rewrites22.0%
Final simplification21.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y))) (+ (sqrt x) (sqrt y))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(x) + sqrt(y));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt((1.0d0 + x)) + sqrt((1.0d0 + y))) - (sqrt(x) + sqrt(y))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt((1.0 + x)) + Math.sqrt((1.0 + y))) - (Math.sqrt(x) + Math.sqrt(y));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt((1.0 + x)) + math.sqrt((1.0 + y))) - (math.sqrt(x) + math.sqrt(y))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y))) - Float64(sqrt(x) + sqrt(y))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((1.0 + x)) + sqrt((1.0 + y))) - (sqrt(x) + sqrt(y));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{1 + x} + \sqrt{1 + y}\right) - \left(\sqrt{x} + \sqrt{y}\right)
\end{array}
Initial program 92.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6414.5
Applied rewrites14.5%
Taylor expanded in z around inf
Applied rewrites13.8%
Final simplification13.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt y)) (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(y) + (sqrt((1.0 + x)) + sqrt((1.0 + y)));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(y) + (sqrt((1.0d0 + x)) + sqrt((1.0d0 + y)))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(y) + (Math.sqrt((1.0 + x)) + Math.sqrt((1.0 + y)));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(y) + (math.sqrt((1.0 + x)) + math.sqrt((1.0 + y)))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y)))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(y) + (sqrt((1.0 + x)) + sqrt((1.0 + y)));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[((-N[Sqrt[y], $MachinePrecision]) + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{y}\right) + \left(\sqrt{1 + x} + \sqrt{1 + y}\right)
\end{array}
Initial program 92.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6414.5
Applied rewrites14.5%
Applied rewrites21.5%
Taylor expanded in y around inf
Applied rewrites13.9%
Final simplification13.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt x)) (+ (sqrt (+ 1.0 x)) (sqrt (+ 1.0 y)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x) + (sqrt((1.0 + x)) + sqrt((1.0 + y)));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x) + (sqrt((1.0d0 + x)) + sqrt((1.0d0 + y)))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x) + (Math.sqrt((1.0 + x)) + Math.sqrt((1.0 + y)));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x) + (math.sqrt((1.0 + x)) + math.sqrt((1.0 + y)))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(x)) + Float64(sqrt(Float64(1.0 + x)) + sqrt(Float64(1.0 + y)))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x) + (sqrt((1.0 + x)) + sqrt((1.0 + y)));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[((-N[Sqrt[x], $MachinePrecision]) + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{x}\right) + \left(\sqrt{1 + x} + \sqrt{1 + y}\right)
\end{array}
Initial program 92.3%
Taylor expanded in t around inf
lower--.f64N/A
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6414.5
Applied rewrites14.5%
Applied rewrites21.5%
Taylor expanded in x around inf
Applied rewrites14.6%
Final simplification14.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (/ 0.5 (sqrt t)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 / sqrt(t);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 / sqrt(t)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.5 / Math.sqrt(t);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 / math.sqrt(t)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 / sqrt(t)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 / sqrt(t);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.5 / N[Sqrt[t], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\frac{0.5}{\sqrt{t}}
\end{array}
Initial program 92.3%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites14.3%
Taylor expanded in t around 0
Applied rewrites8.6%
Applied rewrites8.6%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024294
(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))))