
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 24 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ z (+ 1.0 z)))
(t_2 (sqrt (/ 1.0 y)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (sqrt (/ 1.0 z)))
(t_6 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_7 (+ (- t_4 (sqrt x)) t_6)))
(if (<= t_7 1e-5)
(+ t_3 (* 0.5 (+ t_5 (+ (sqrt (/ 1.0 x)) t_2))))
(if (<= t_7 1.00005)
(+ t_3 (- (fma 0.5 (+ t_5 t_2) t_4) (sqrt x)))
(+
t_3
(+
(+ t_6 (- 1.0 (sqrt x)))
(/ t_1 (* t_1 (+ (sqrt z) (sqrt (+ 1.0 z)))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = z + (1.0 + z);
double t_2 = sqrt((1.0 / y));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double t_5 = sqrt((1.0 / z));
double t_6 = sqrt((1.0 + y)) - sqrt(y);
double t_7 = (t_4 - sqrt(x)) + t_6;
double tmp;
if (t_7 <= 1e-5) {
tmp = t_3 + (0.5 * (t_5 + (sqrt((1.0 / x)) + t_2)));
} else if (t_7 <= 1.00005) {
tmp = t_3 + (fma(0.5, (t_5 + t_2), t_4) - sqrt(x));
} else {
tmp = t_3 + ((t_6 + (1.0 - sqrt(x))) + (t_1 / (t_1 * (sqrt(z) + sqrt((1.0 + z))))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(z + Float64(1.0 + z)) t_2 = sqrt(Float64(1.0 / y)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) t_5 = sqrt(Float64(1.0 / z)) t_6 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_7 = Float64(Float64(t_4 - sqrt(x)) + t_6) tmp = 0.0 if (t_7 <= 1e-5) tmp = Float64(t_3 + Float64(0.5 * Float64(t_5 + Float64(sqrt(Float64(1.0 / x)) + t_2)))); elseif (t_7 <= 1.00005) tmp = Float64(t_3 + Float64(fma(0.5, Float64(t_5 + t_2), t_4) - sqrt(x))); else tmp = Float64(t_3 + Float64(Float64(t_6 + Float64(1.0 - sqrt(x))) + Float64(t_1 / Float64(t_1 * Float64(sqrt(z) + sqrt(Float64(1.0 + z))))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(z + N[(1.0 + z), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 1e-5], N[(t$95$3 + N[(0.5 * N[(t$95$5 + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 1.00005], N[(t$95$3 + N[(N[(0.5 * N[(t$95$5 + t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(t$95$6 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 / N[(t$95$1 * N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := z + \left(1 + z\right)\\
t_2 := \sqrt{\frac{1}{y}}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
t_5 := \sqrt{\frac{1}{z}}\\
t_6 := \sqrt{1 + y} - \sqrt{y}\\
t_7 := \left(t\_4 - \sqrt{x}\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 10^{-5}:\\
\;\;\;\;t\_3 + 0.5 \cdot \left(t\_5 + \left(\sqrt{\frac{1}{x}} + t\_2\right)\right)\\
\mathbf{elif}\;t\_7 \leq 1.00005:\\
\;\;\;\;t\_3 + \left(\mathsf{fma}\left(0.5, t\_5 + t\_2, t\_4\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(t\_6 + \left(1 - \sqrt{x}\right)\right) + \frac{t\_1}{t\_1 \cdot \left(\sqrt{z} + \sqrt{1 + z}\right)}\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.00000000000000008e-5Initial program 73.2%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6482.1
Simplified82.1%
Taylor expanded in y around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6493.2
Simplified93.2%
Taylor expanded in z around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6450.5
Simplified50.5%
if 1.00000000000000008e-5 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.00005000000000011Initial program 95.6%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified28.7%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6432.2
Simplified32.2%
if 1.00005000000000011 < (+.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
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6493.9
Simplified93.9%
flip--N/A
+-commutativeN/A
+-commutativeN/A
rem-square-sqrtN/A
rem-square-sqrtN/A
flip--N/A
+-commutativeN/A
associate-/l/N/A
/-lowering-/.f64N/A
Applied egg-rr93.9%
Final simplification51.9%
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 t)) (sqrt t)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (/ 1.0 z)))
(t_4 (sqrt (+ 1.0 z)))
(t_5 (sqrt (+ 1.0 x)))
(t_6
(+ t_1 (+ (- t_4 (sqrt z)) (+ (- t_5 (sqrt x)) (- t_2 (sqrt y))))))
(t_7 (sqrt (/ 1.0 y))))
(if (<= t_6 0.1)
(+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) t_7)))
(if (<= t_6 1.00005)
(- (fma 0.5 (+ t_3 t_7) 1.0) (sqrt x))
(if (<= t_6 2.0002)
(+ t_5 (- (fma 0.5 t_3 t_2) (+ (sqrt x) (sqrt y))))
(+ (+ t_2 t_4) (- t_5 (+ (sqrt x) (+ (sqrt y) (sqrt z))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 / z));
double t_4 = sqrt((1.0 + z));
double t_5 = sqrt((1.0 + x));
double t_6 = t_1 + ((t_4 - sqrt(z)) + ((t_5 - sqrt(x)) + (t_2 - sqrt(y))));
double t_7 = sqrt((1.0 / y));
double tmp;
if (t_6 <= 0.1) {
tmp = t_1 + (0.5 * (sqrt((1.0 / x)) + t_7));
} else if (t_6 <= 1.00005) {
tmp = fma(0.5, (t_3 + t_7), 1.0) - sqrt(x);
} else if (t_6 <= 2.0002) {
tmp = t_5 + (fma(0.5, t_3, t_2) - (sqrt(x) + sqrt(y)));
} else {
tmp = (t_2 + t_4) + (t_5 - (sqrt(x) + (sqrt(y) + sqrt(z))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(1.0 / z)) t_4 = sqrt(Float64(1.0 + z)) t_5 = sqrt(Float64(1.0 + x)) t_6 = Float64(t_1 + Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(t_5 - sqrt(x)) + Float64(t_2 - sqrt(y))))) t_7 = sqrt(Float64(1.0 / y)) tmp = 0.0 if (t_6 <= 0.1) tmp = Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + t_7))); elseif (t_6 <= 1.00005) tmp = Float64(fma(0.5, Float64(t_3 + t_7), 1.0) - sqrt(x)); elseif (t_6 <= 2.0002) tmp = Float64(t_5 + Float64(fma(0.5, t_3, t_2) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(Float64(t_2 + t_4) + Float64(t_5 - Float64(sqrt(x) + Float64(sqrt(y) + sqrt(z))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $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 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$1 + N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$6, 0.1], N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.00005], N[(N[(0.5 * N[(t$95$3 + t$95$7), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(t$95$5 + N[(N[(0.5 * t$95$3 + t$95$2), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$2 + t$95$4), $MachinePrecision] + N[(t$95$5 - N[(N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{\frac{1}{z}}\\
t_4 := \sqrt{1 + z}\\
t_5 := \sqrt{1 + x}\\
t_6 := t\_1 + \left(\left(t\_4 - \sqrt{z}\right) + \left(\left(t\_5 - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\right)\right)\\
t_7 := \sqrt{\frac{1}{y}}\\
\mathbf{if}\;t\_6 \leq 0.1:\\
\;\;\;\;t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + t\_7\right)\\
\mathbf{elif}\;t\_6 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_3 + t\_7, 1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;t\_5 + \left(\mathsf{fma}\left(0.5, t\_3, t\_2\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_2 + t\_4\right) + \left(t\_5 - \left(\sqrt{x} + \left(\sqrt{y} + \sqrt{z}\right)\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.10000000000000001Initial program 13.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6437.5
Simplified37.5%
Taylor expanded in y around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6474.7
Simplified74.7%
Taylor expanded in z around inf
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6474.7
Simplified74.7%
if 0.10000000000000001 < (+.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))) < 1.00005000000000011Initial program 94.6%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6424.2
Simplified24.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6425.3
Simplified25.3%
Taylor expanded in z around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6425.8
Simplified25.8%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6425.8
Simplified25.8%
if 1.00005000000000011 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00019999999999998Initial program 95.5%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified37.8%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6426.3
Simplified26.3%
if 2.00019999999999998 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.3%
Taylor expanded in t around inf
+-commutativeN/A
associate--l+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.2
Simplified33.2%
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 t)) (sqrt t)))
(t_2 (sqrt (+ 1.0 y)))
(t_3 (sqrt (/ 1.0 z)))
(t_4 (sqrt (+ 1.0 z)))
(t_5 (sqrt (+ 1.0 x)))
(t_6
(+ t_1 (+ (- t_4 (sqrt z)) (+ (- t_5 (sqrt x)) (- t_2 (sqrt y))))))
(t_7 (sqrt (/ 1.0 y)))
(t_8 (+ (sqrt x) (sqrt y))))
(if (<= t_6 0.1)
(+ t_1 (* 0.5 (+ (sqrt (/ 1.0 x)) t_7)))
(if (<= t_6 1.00005)
(- (fma 0.5 (+ t_3 t_7) 1.0) (sqrt x))
(if (<= t_6 2.0002)
(+ t_5 (- (fma 0.5 t_3 t_2) t_8))
(- (+ t_4 (+ 1.0 t_2)) (+ (sqrt z) t_8)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double t_2 = sqrt((1.0 + y));
double t_3 = sqrt((1.0 / z));
double t_4 = sqrt((1.0 + z));
double t_5 = sqrt((1.0 + x));
double t_6 = t_1 + ((t_4 - sqrt(z)) + ((t_5 - sqrt(x)) + (t_2 - sqrt(y))));
double t_7 = sqrt((1.0 / y));
double t_8 = sqrt(x) + sqrt(y);
double tmp;
if (t_6 <= 0.1) {
tmp = t_1 + (0.5 * (sqrt((1.0 / x)) + t_7));
} else if (t_6 <= 1.00005) {
tmp = fma(0.5, (t_3 + t_7), 1.0) - sqrt(x);
} else if (t_6 <= 2.0002) {
tmp = t_5 + (fma(0.5, t_3, t_2) - t_8);
} else {
tmp = (t_4 + (1.0 + t_2)) - (sqrt(z) + t_8);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_2 = sqrt(Float64(1.0 + y)) t_3 = sqrt(Float64(1.0 / z)) t_4 = sqrt(Float64(1.0 + z)) t_5 = sqrt(Float64(1.0 + x)) t_6 = Float64(t_1 + Float64(Float64(t_4 - sqrt(z)) + Float64(Float64(t_5 - sqrt(x)) + Float64(t_2 - sqrt(y))))) t_7 = sqrt(Float64(1.0 / y)) t_8 = Float64(sqrt(x) + sqrt(y)) tmp = 0.0 if (t_6 <= 0.1) tmp = Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + t_7))); elseif (t_6 <= 1.00005) tmp = Float64(fma(0.5, Float64(t_3 + t_7), 1.0) - sqrt(x)); elseif (t_6 <= 2.0002) tmp = Float64(t_5 + Float64(fma(0.5, t_3, t_2) - t_8)); else tmp = Float64(Float64(t_4 + Float64(1.0 + t_2)) - Float64(sqrt(z) + t_8)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(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 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$1 + N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$8 = N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.1], N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.00005], N[(N[(0.5 * N[(t$95$3 + t$95$7), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(t$95$5 + N[(N[(0.5 * t$95$3 + t$95$2), $MachinePrecision] - t$95$8), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$4 + N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + t$95$8), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
t_2 := \sqrt{1 + y}\\
t_3 := \sqrt{\frac{1}{z}}\\
t_4 := \sqrt{1 + z}\\
t_5 := \sqrt{1 + x}\\
t_6 := t\_1 + \left(\left(t\_4 - \sqrt{z}\right) + \left(\left(t\_5 - \sqrt{x}\right) + \left(t\_2 - \sqrt{y}\right)\right)\right)\\
t_7 := \sqrt{\frac{1}{y}}\\
t_8 := \sqrt{x} + \sqrt{y}\\
\mathbf{if}\;t\_6 \leq 0.1:\\
\;\;\;\;t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + t\_7\right)\\
\mathbf{elif}\;t\_6 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_3 + t\_7, 1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;t\_5 + \left(\mathsf{fma}\left(0.5, t\_3, t\_2\right) - t\_8\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_4 + \left(1 + t\_2\right)\right) - \left(\sqrt{z} + t\_8\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 0.10000000000000001Initial program 13.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6437.5
Simplified37.5%
Taylor expanded in y around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6474.7
Simplified74.7%
Taylor expanded in z around inf
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6474.7
Simplified74.7%
if 0.10000000000000001 < (+.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))) < 1.00005000000000011Initial program 94.6%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6424.2
Simplified24.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6425.3
Simplified25.3%
Taylor expanded in z around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6425.8
Simplified25.8%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6425.8
Simplified25.8%
if 1.00005000000000011 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.00019999999999998Initial program 95.5%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified37.8%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6426.3
Simplified26.3%
if 2.00019999999999998 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 98.3%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6474.0
Simplified74.0%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6427.2
Simplified27.2%
Final simplification29.5%
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)))
(t_2 (- t_1 (sqrt z)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ t_2 (+ (- t_4 (sqrt x)) (- t_5 (sqrt y)))))
(t_7 (sqrt (/ 1.0 y))))
(if (<= t_6 0.1)
(+ t_3 (* 0.5 (+ (sqrt (/ 1.0 x)) t_7)))
(if (<= t_6 1.00005)
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) t_7) 1.0) (sqrt x))
(if (<= t_6 2.5)
(+ t_4 (- (+ t_5 (/ 1.0 (+ (sqrt z) t_1))) (+ (sqrt x) (sqrt y))))
(+ t_3 (+ t_2 (- (- 2.0 (sqrt x)) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x));
double t_5 = sqrt((1.0 + y));
double t_6 = t_2 + ((t_4 - sqrt(x)) + (t_5 - sqrt(y)));
double t_7 = sqrt((1.0 / y));
double tmp;
if (t_6 <= 0.1) {
tmp = t_3 + (0.5 * (sqrt((1.0 / x)) + t_7));
} else if (t_6 <= 1.00005) {
tmp = fma(0.5, (sqrt((1.0 / z)) + t_7), 1.0) - sqrt(x);
} else if (t_6 <= 2.5) {
tmp = t_4 + ((t_5 + (1.0 / (sqrt(z) + t_1))) - (sqrt(x) + sqrt(y)));
} else {
tmp = t_3 + (t_2 + ((2.0 - sqrt(x)) - sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(t_1 - sqrt(z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = sqrt(Float64(1.0 + x)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(t_2 + Float64(Float64(t_4 - sqrt(x)) + Float64(t_5 - sqrt(y)))) t_7 = sqrt(Float64(1.0 / y)) tmp = 0.0 if (t_6 <= 0.1) tmp = Float64(t_3 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + t_7))); elseif (t_6 <= 1.00005) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + t_7), 1.0) - sqrt(x)); elseif (t_6 <= 2.5) tmp = Float64(t_4 + Float64(Float64(t_5 + Float64(1.0 / Float64(sqrt(z) + t_1))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(t_3 + Float64(t_2 + Float64(Float64(2.0 - sqrt(x)) - sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$6, 0.1], N[(t$95$3 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.00005], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$7), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.5], N[(t$95$4 + N[(N[(t$95$5 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$2 + N[(N[(2.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x}\\
t_5 := \sqrt{1 + y}\\
t_6 := t\_2 + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_5 - \sqrt{y}\right)\right)\\
t_7 := \sqrt{\frac{1}{y}}\\
\mathbf{if}\;t\_6 \leq 0.1:\\
\;\;\;\;t\_3 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + t\_7\right)\\
\mathbf{elif}\;t\_6 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + t\_7, 1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_6 \leq 2.5:\\
\;\;\;\;t\_4 + \left(\left(t\_5 + \frac{1}{\sqrt{z} + t\_1}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_2 + \left(\left(2 - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 54.3%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6465.6
Simplified65.6%
Taylor expanded in y around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6484.1
Simplified84.1%
Taylor expanded in z around inf
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6484.0
Simplified84.0%
if 0.10000000000000001 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 94.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6435.2
Simplified35.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6437.4
Simplified37.4%
Taylor expanded in z around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6439.1
Simplified39.1%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6422.7
Simplified22.7%
if 1.00005000000000011 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.5Initial program 97.8%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6497.9
Applied egg-rr97.9%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
Simplified29.8%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.8%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6497.5
Simplified97.5%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6497.5
Simplified97.5%
Final simplification42.0%
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 t)) (sqrt t)))
(t_3 (sqrt (/ 1.0 z)))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ t_1 (+ (- t_4 (sqrt x)) (- t_5 (sqrt y)))))
(t_7 (sqrt (/ 1.0 y))))
(if (<= t_6 0.1)
(+ t_2 (* 0.5 (+ (sqrt (/ 1.0 x)) t_7)))
(if (<= t_6 1.00005)
(- (fma 0.5 (+ t_3 t_7) 1.0) (sqrt x))
(if (<= t_6 2.0002)
(+ t_4 (- (fma 0.5 t_3 t_5) (+ (sqrt x) (sqrt y))))
(+ t_2 (+ t_1 (- (- 2.0 (sqrt x)) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 / z));
double t_4 = sqrt((1.0 + x));
double t_5 = sqrt((1.0 + y));
double t_6 = t_1 + ((t_4 - sqrt(x)) + (t_5 - sqrt(y)));
double t_7 = sqrt((1.0 / y));
double tmp;
if (t_6 <= 0.1) {
tmp = t_2 + (0.5 * (sqrt((1.0 / x)) + t_7));
} else if (t_6 <= 1.00005) {
tmp = fma(0.5, (t_3 + t_7), 1.0) - sqrt(x);
} else if (t_6 <= 2.0002) {
tmp = t_4 + (fma(0.5, t_3, t_5) - (sqrt(x) + sqrt(y)));
} else {
tmp = t_2 + (t_1 + ((2.0 - sqrt(x)) - sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 / z)) t_4 = sqrt(Float64(1.0 + x)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(t_1 + Float64(Float64(t_4 - sqrt(x)) + Float64(t_5 - sqrt(y)))) t_7 = sqrt(Float64(1.0 / y)) tmp = 0.0 if (t_6 <= 0.1) tmp = Float64(t_2 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + t_7))); elseif (t_6 <= 1.00005) tmp = Float64(fma(0.5, Float64(t_3 + t_7), 1.0) - sqrt(x)); elseif (t_6 <= 2.0002) tmp = Float64(t_4 + Float64(fma(0.5, t_3, t_5) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(t_2 + Float64(t_1 + Float64(Float64(2.0 - sqrt(x)) - sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(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 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$1 + N[(N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$6, 0.1], N[(t$95$2 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.00005], N[(N[(0.5 * N[(t$95$3 + t$95$7), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.0002], N[(t$95$4 + N[(N[(0.5 * t$95$3 + t$95$5), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(t$95$1 + N[(N[(2.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{\frac{1}{z}}\\
t_4 := \sqrt{1 + x}\\
t_5 := \sqrt{1 + y}\\
t_6 := t\_1 + \left(\left(t\_4 - \sqrt{x}\right) + \left(t\_5 - \sqrt{y}\right)\right)\\
t_7 := \sqrt{\frac{1}{y}}\\
\mathbf{if}\;t\_6 \leq 0.1:\\
\;\;\;\;t\_2 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + t\_7\right)\\
\mathbf{elif}\;t\_6 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, t\_3 + t\_7, 1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_6 \leq 2.0002:\\
\;\;\;\;t\_4 + \left(\mathsf{fma}\left(0.5, t\_3, t\_5\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(t\_1 + \left(\left(2 - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 54.3%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6465.6
Simplified65.6%
Taylor expanded in y around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6484.1
Simplified84.1%
Taylor expanded in z around inf
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6484.0
Simplified84.0%
if 0.10000000000000001 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 94.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6435.2
Simplified35.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6437.4
Simplified37.4%
Taylor expanded in z around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6439.1
Simplified39.1%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6422.7
Simplified22.7%
if 1.00005000000000011 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00019999999999998Initial program 98.0%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified35.6%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6425.7
Simplified25.7%
if 2.00019999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6491.2
Simplified91.2%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6488.5
Simplified88.5%
Final simplification40.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 y)))
(t_4
(+
(- t_1 (sqrt z))
(+ (- (sqrt (+ 1.0 x)) (sqrt x)) (- t_3 (sqrt y)))))
(t_5 (sqrt (/ 1.0 y)))
(t_6 (+ 1.0 t_3)))
(if (<= t_4 0.1)
(+ t_2 (* 0.5 (+ (sqrt (/ 1.0 x)) t_5)))
(if (<= t_4 1.00005)
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) t_5) 1.0) (sqrt x))
(if (<= t_4 2.0)
(+ t_2 (- (- t_6 (sqrt y)) (sqrt x)))
(- (+ t_1 t_6) (+ (sqrt z) (+ (sqrt x) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + y));
double t_4 = (t_1 - sqrt(z)) + ((sqrt((1.0 + x)) - sqrt(x)) + (t_3 - sqrt(y)));
double t_5 = sqrt((1.0 / y));
double t_6 = 1.0 + t_3;
double tmp;
if (t_4 <= 0.1) {
tmp = t_2 + (0.5 * (sqrt((1.0 / x)) + t_5));
} else if (t_4 <= 1.00005) {
tmp = fma(0.5, (sqrt((1.0 / z)) + t_5), 1.0) - sqrt(x);
} else if (t_4 <= 2.0) {
tmp = t_2 + ((t_6 - sqrt(y)) - sqrt(x));
} else {
tmp = (t_1 + t_6) - (sqrt(z) + (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + y)) t_4 = Float64(Float64(t_1 - sqrt(z)) + Float64(Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) + Float64(t_3 - sqrt(y)))) t_5 = sqrt(Float64(1.0 / y)) t_6 = Float64(1.0 + t_3) tmp = 0.0 if (t_4 <= 0.1) tmp = Float64(t_2 + Float64(0.5 * Float64(sqrt(Float64(1.0 / x)) + t_5))); elseif (t_4 <= 1.00005) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + t_5), 1.0) - sqrt(x)); elseif (t_4 <= 2.0) tmp = Float64(t_2 + Float64(Float64(t_6 - sqrt(y)) - sqrt(x))); else tmp = Float64(Float64(t_1 + t_6) - Float64(sqrt(z) + Float64(sqrt(x) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(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[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(1.0 + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$4, 0.1], N[(t$95$2 + N[(0.5 * N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.00005], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + t$95$5), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(t$95$2 + N[(N[(t$95$6 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + t$95$6), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + y}\\
t_4 := \left(t\_1 - \sqrt{z}\right) + \left(\left(\sqrt{1 + x} - \sqrt{x}\right) + \left(t\_3 - \sqrt{y}\right)\right)\\
t_5 := \sqrt{\frac{1}{y}}\\
t_6 := 1 + t\_3\\
\mathbf{if}\;t\_4 \leq 0.1:\\
\;\;\;\;t\_2 + 0.5 \cdot \left(\sqrt{\frac{1}{x}} + t\_5\right)\\
\mathbf{elif}\;t\_4 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + t\_5, 1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;t\_2 + \left(\left(t\_6 - \sqrt{y}\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + t\_6\right) - \left(\sqrt{z} + \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 54.3%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6465.6
Simplified65.6%
Taylor expanded in y around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6484.1
Simplified84.1%
Taylor expanded in z around inf
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6484.0
Simplified84.0%
if 0.10000000000000001 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 94.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6435.2
Simplified35.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6437.4
Simplified37.4%
Taylor expanded in z around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6439.1
Simplified39.1%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6422.7
Simplified22.7%
if 1.00005000000000011 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 98.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6464.6
Simplified64.6%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.7
Simplified33.7%
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
rem-square-sqrtN/A
sqrt-lowering-sqrt.f64N/A
rem-square-sqrtN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.4
Applied egg-rr33.4%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6488.5
Simplified88.5%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6461.9
Simplified61.9%
Final simplification40.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (+ 1.0 t_1))
(t_3 (sqrt (+ 1.0 z)))
(t_4
(+
(- t_3 (sqrt z))
(+ (- (sqrt (+ 1.0 x)) (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_4 0.1)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_4 1.00005)
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) 1.0) (sqrt x))
(if (<= t_4 2.0)
(+ (- (sqrt (+ 1.0 t)) (sqrt t)) (- (- t_2 (sqrt y)) (sqrt x)))
(- (+ t_3 t_2) (+ (sqrt z) (+ (sqrt x) (sqrt y)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = 1.0 + t_1;
double t_3 = sqrt((1.0 + z));
double t_4 = (t_3 - sqrt(z)) + ((sqrt((1.0 + x)) - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_4 <= 0.1) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_4 <= 1.00005) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), 1.0) - sqrt(x);
} else if (t_4 <= 2.0) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((t_2 - sqrt(y)) - sqrt(x));
} else {
tmp = (t_3 + t_2) - (sqrt(z) + (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(1.0 + t_1) t_3 = sqrt(Float64(1.0 + z)) t_4 = Float64(Float64(t_3 - sqrt(z)) + Float64(Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_4 <= 0.1) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_4 <= 1.00005) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), 1.0) - sqrt(x)); elseif (t_4 <= 2.0) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(t_2 - sqrt(y)) - sqrt(x))); else tmp = Float64(Float64(t_3 + t_2) - Float64(sqrt(z) + Float64(sqrt(x) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.1], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 1.00005], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$4, 2.0], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$3 + t$95$2), $MachinePrecision] - N[(N[Sqrt[z], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := 1 + t\_1\\
t_3 := \sqrt{1 + z}\\
t_4 := \left(t\_3 - \sqrt{z}\right) + \left(\left(\sqrt{1 + x} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.1:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_4 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, 1\right) - \sqrt{x}\\
\mathbf{elif}\;t\_4 \leq 2:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(t\_2 - \sqrt{y}\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_3 + t\_2\right) - \left(\sqrt{z} + \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 54.3%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6465.6
Simplified65.6%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6419.6
Simplified19.6%
if 0.10000000000000001 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 94.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6435.2
Simplified35.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6437.4
Simplified37.4%
Taylor expanded in z around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6439.1
Simplified39.1%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6422.7
Simplified22.7%
if 1.00005000000000011 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2Initial program 98.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6464.6
Simplified64.6%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.7
Simplified33.7%
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
rem-square-sqrtN/A
sqrt-lowering-sqrt.f64N/A
rem-square-sqrtN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6433.4
Applied egg-rr33.4%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6488.5
Simplified88.5%
Taylor expanded in t around inf
--lowering--.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6461.9
Simplified61.9%
Final simplification31.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 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_3 (+ (- t_5 (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_6 0.9999999999999998)
(+ t_4 (+ t_3 (/ 1.0 (+ (sqrt x) t_5))))
(if (<= t_6 2.5)
(+ t_5 (- (+ t_1 (/ 1.0 (+ (sqrt z) t_2))) (+ (sqrt x) (sqrt y))))
(+ t_4 (+ t_3 (- (- 2.0 (sqrt x)) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + 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_3 + ((t_5 - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_6 <= 0.9999999999999998) {
tmp = t_4 + (t_3 + (1.0 / (sqrt(x) + t_5)));
} else if (t_6 <= 2.5) {
tmp = t_5 + ((t_1 + (1.0 / (sqrt(z) + t_2))) - (sqrt(x) + sqrt(y)));
} else {
tmp = t_4 + (t_3 + ((2.0 - sqrt(x)) - sqrt(y)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((1.0d0 + z))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((1.0d0 + t)) - sqrt(t)
t_5 = sqrt((1.0d0 + x))
t_6 = t_3 + ((t_5 - sqrt(x)) + (t_1 - sqrt(y)))
if (t_6 <= 0.9999999999999998d0) then
tmp = t_4 + (t_3 + (1.0d0 / (sqrt(x) + t_5)))
else if (t_6 <= 2.5d0) then
tmp = t_5 + ((t_1 + (1.0d0 / (sqrt(z) + t_2))) - (sqrt(x) + sqrt(y)))
else
tmp = t_4 + (t_3 + ((2.0d0 - sqrt(x)) - sqrt(y)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_5 = Math.sqrt((1.0 + x));
double t_6 = t_3 + ((t_5 - Math.sqrt(x)) + (t_1 - Math.sqrt(y)));
double tmp;
if (t_6 <= 0.9999999999999998) {
tmp = t_4 + (t_3 + (1.0 / (Math.sqrt(x) + t_5)));
} else if (t_6 <= 2.5) {
tmp = t_5 + ((t_1 + (1.0 / (Math.sqrt(z) + t_2))) - (Math.sqrt(x) + Math.sqrt(y)));
} else {
tmp = t_4 + (t_3 + ((2.0 - Math.sqrt(x)) - Math.sqrt(y)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((1.0 + z)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((1.0 + t)) - math.sqrt(t) t_5 = math.sqrt((1.0 + x)) t_6 = t_3 + ((t_5 - math.sqrt(x)) + (t_1 - math.sqrt(y))) tmp = 0 if t_6 <= 0.9999999999999998: tmp = t_4 + (t_3 + (1.0 / (math.sqrt(x) + t_5))) elif t_6 <= 2.5: tmp = t_5 + ((t_1 + (1.0 / (math.sqrt(z) + t_2))) - (math.sqrt(x) + math.sqrt(y))) else: tmp = t_4 + (t_3 + ((2.0 - math.sqrt(x)) - math.sqrt(y))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) 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(t_3 + Float64(Float64(t_5 - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_6 <= 0.9999999999999998) tmp = Float64(t_4 + Float64(t_3 + Float64(1.0 / Float64(sqrt(x) + t_5)))); elseif (t_6 <= 2.5) tmp = Float64(t_5 + Float64(Float64(t_1 + Float64(1.0 / Float64(sqrt(z) + t_2))) - Float64(sqrt(x) + sqrt(y)))); else tmp = Float64(t_4 + Float64(t_3 + Float64(Float64(2.0 - sqrt(x)) - sqrt(y)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((1.0 + z));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((1.0 + t)) - sqrt(t);
t_5 = sqrt((1.0 + x));
t_6 = t_3 + ((t_5 - sqrt(x)) + (t_1 - sqrt(y)));
tmp = 0.0;
if (t_6 <= 0.9999999999999998)
tmp = t_4 + (t_3 + (1.0 / (sqrt(x) + t_5)));
elseif (t_6 <= 2.5)
tmp = t_5 + ((t_1 + (1.0 / (sqrt(z) + t_2))) - (sqrt(x) + sqrt(y)));
else
tmp = t_4 + (t_3 + ((2.0 - sqrt(x)) - sqrt(y)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, 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[(t$95$3 + N[(N[(t$95$5 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 0.9999999999999998], N[(t$95$4 + N[(t$95$3 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.5], N[(t$95$5 + N[(N[(t$95$1 + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$4 + N[(t$95$3 + N[(N[(2.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{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 := t\_3 + \left(\left(t\_5 - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_6 \leq 0.9999999999999998:\\
\;\;\;\;t\_4 + \left(t\_3 + \frac{1}{\sqrt{x} + t\_5}\right)\\
\mathbf{elif}\;t\_6 \leq 2.5:\\
\;\;\;\;t\_5 + \left(\left(t\_1 + \frac{1}{\sqrt{z} + t\_2}\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(t\_3 + \left(\left(2 - \sqrt{x}\right) - \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.99999999999999978Initial program 61.8%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr66.0%
Taylor expanded in x around 0
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6473.7
Simplified73.7%
Taylor expanded in y around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6470.5
Simplified70.5%
if 0.99999999999999978 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.5Initial program 96.3%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6497.0
Applied egg-rr97.0%
Taylor expanded in t around inf
associate--l+N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
Simplified26.2%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.8%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6497.5
Simplified97.5%
Taylor expanded in y around 0
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6497.5
Simplified97.5%
Final simplification41.3%
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))
(+ (- (sqrt (+ 1.0 x)) (sqrt x)) (- t_1 (sqrt y))))))
(if (<= t_2 0.1)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_2 1.00005)
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) 1.0) (sqrt x))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(- (- (+ 1.0 t_1) (sqrt y)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = (sqrt((1.0 + z)) - sqrt(z)) + ((sqrt((1.0 + x)) - sqrt(x)) + (t_1 - sqrt(y)));
double tmp;
if (t_2 <= 0.1) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_2 <= 1.00005) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), 1.0) - sqrt(x);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + (((1.0 + t_1) - sqrt(y)) - sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) + Float64(t_1 - sqrt(y)))) tmp = 0.0 if (t_2 <= 0.1) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_2 <= 1.00005) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), 1.0) - sqrt(x)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(Float64(1.0 + t_1) - sqrt(y)) - sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.1], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 1.00005], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + t$95$1), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(\sqrt{1 + x} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\right)\\
\mathbf{if}\;t\_2 \leq 0.1:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_2 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, 1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(\left(1 + t\_1\right) - \sqrt{y}\right) - \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.10000000000000001Initial program 54.3%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6465.6
Simplified65.6%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6419.6
Simplified19.6%
if 0.10000000000000001 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00005000000000011Initial program 94.2%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6435.2
Simplified35.2%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6437.4
Simplified37.4%
Taylor expanded in z around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6439.1
Simplified39.1%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6422.7
Simplified22.7%
if 1.00005000000000011 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6470.4
Simplified70.4%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6430.0
Simplified30.0%
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
rem-square-sqrtN/A
sqrt-lowering-sqrt.f64N/A
rem-square-sqrtN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6429.8
Applied egg-rr29.8%
Final simplification26.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (/ 1.0 y)))
(t_2 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (sqrt (/ 1.0 z)))
(t_5 (- (sqrt (+ 1.0 y)) (sqrt y)))
(t_6 (+ (- t_3 (sqrt x)) t_5)))
(if (<= t_6 1e-5)
(+ t_2 (* 0.5 (+ t_4 (+ (sqrt (/ 1.0 x)) t_1))))
(if (<= t_6 1.00005)
(+ t_2 (- (fma 0.5 (+ t_4 t_1) t_3) (sqrt x)))
(+
t_2
(+ (+ t_5 (- 1.0 (sqrt x))) (/ 1.0 (+ (sqrt z) (sqrt (+ 1.0 z))))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 / y));
double t_2 = sqrt((1.0 + t)) - sqrt(t);
double t_3 = sqrt((1.0 + x));
double t_4 = sqrt((1.0 / z));
double t_5 = sqrt((1.0 + y)) - sqrt(y);
double t_6 = (t_3 - sqrt(x)) + t_5;
double tmp;
if (t_6 <= 1e-5) {
tmp = t_2 + (0.5 * (t_4 + (sqrt((1.0 / x)) + t_1)));
} else if (t_6 <= 1.00005) {
tmp = t_2 + (fma(0.5, (t_4 + t_1), t_3) - sqrt(x));
} else {
tmp = t_2 + ((t_5 + (1.0 - sqrt(x))) + (1.0 / (sqrt(z) + sqrt((1.0 + z)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 / y)) t_2 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + x)) t_4 = sqrt(Float64(1.0 / z)) t_5 = Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) t_6 = Float64(Float64(t_3 - sqrt(x)) + t_5) tmp = 0.0 if (t_6 <= 1e-5) tmp = Float64(t_2 + Float64(0.5 * Float64(t_4 + Float64(sqrt(Float64(1.0 / x)) + t_1)))); elseif (t_6 <= 1.00005) tmp = Float64(t_2 + Float64(fma(0.5, Float64(t_4 + t_1), t_3) - sqrt(x))); else tmp = Float64(t_2 + Float64(Float64(t_5 + Float64(1.0 - sqrt(x))) + Float64(1.0 / Float64(sqrt(z) + sqrt(Float64(1.0 + z)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 1e-5], N[(t$95$2 + N[(0.5 * N[(t$95$4 + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 1.00005], N[(t$95$2 + N[(N[(0.5 * N[(t$95$4 + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 + N[(N[(t$95$5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{\frac{1}{y}}\\
t_2 := \sqrt{1 + t} - \sqrt{t}\\
t_3 := \sqrt{1 + x}\\
t_4 := \sqrt{\frac{1}{z}}\\
t_5 := \sqrt{1 + y} - \sqrt{y}\\
t_6 := \left(t\_3 - \sqrt{x}\right) + t\_5\\
\mathbf{if}\;t\_6 \leq 10^{-5}:\\
\;\;\;\;t\_2 + 0.5 \cdot \left(t\_4 + \left(\sqrt{\frac{1}{x}} + t\_1\right)\right)\\
\mathbf{elif}\;t\_6 \leq 1.00005:\\
\;\;\;\;t\_2 + \left(\mathsf{fma}\left(0.5, t\_4 + t\_1, t\_3\right) - \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2 + \left(\left(t\_5 + \left(1 - \sqrt{x}\right)\right) + \frac{1}{\sqrt{z} + \sqrt{1 + z}}\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.00000000000000008e-5Initial program 73.2%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6482.1
Simplified82.1%
Taylor expanded in y around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6493.2
Simplified93.2%
Taylor expanded in z around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6450.5
Simplified50.5%
if 1.00000000000000008e-5 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.00005000000000011Initial program 95.6%
Taylor expanded in z around inf
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
Simplified28.7%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6432.2
Simplified32.2%
if 1.00005000000000011 < (+.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
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6493.9
Simplified93.9%
flip--N/A
+-commutativeN/A
+-commutativeN/A
rem-square-sqrtN/A
rem-square-sqrtN/A
+-commutativeN/A
associate--l+N/A
+-inversesN/A
metadata-evalN/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6493.9
Applied egg-rr93.9%
Final simplification51.9%
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)))
(t_4 (- (sqrt (+ 1.0 x)) (sqrt x))))
(if (<= (+ (- t_2 (sqrt z)) (+ t_4 (- t_1 (sqrt y)))) 1e-5)
(+ t_3 (* 0.5 (+ (sqrt (/ 1.0 z)) (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))))))
(+
t_3
(+
(+ t_4 (/ 1.0 (+ (sqrt y) t_1)))
(/ (- (+ 1.0 z) z) (+ (sqrt z) t_2)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = sqrt((1.0 + x)) - sqrt(x);
double tmp;
if (((t_2 - sqrt(z)) + (t_4 + (t_1 - sqrt(y)))) <= 1e-5) {
tmp = t_3 + (0.5 * (sqrt((1.0 / z)) + (sqrt((1.0 / x)) + sqrt((1.0 / y)))));
} else {
tmp = t_3 + ((t_4 + (1.0 / (sqrt(y) + t_1))) + (((1.0 + z) - z) / (sqrt(z) + t_2)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = sqrt((1.0d0 + x)) - sqrt(x)
if (((t_2 - sqrt(z)) + (t_4 + (t_1 - sqrt(y)))) <= 1d-5) then
tmp = t_3 + (0.5d0 * (sqrt((1.0d0 / z)) + (sqrt((1.0d0 / x)) + sqrt((1.0d0 / y)))))
else
tmp = t_3 + ((t_4 + (1.0d0 / (sqrt(y) + t_1))) + (((1.0d0 + z) - z) / (sqrt(z) + t_2)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = Math.sqrt((1.0 + x)) - Math.sqrt(x);
double tmp;
if (((t_2 - Math.sqrt(z)) + (t_4 + (t_1 - Math.sqrt(y)))) <= 1e-5) {
tmp = t_3 + (0.5 * (Math.sqrt((1.0 / z)) + (Math.sqrt((1.0 / x)) + Math.sqrt((1.0 / y)))));
} else {
tmp = t_3 + ((t_4 + (1.0 / (Math.sqrt(y) + t_1))) + (((1.0 + z) - z) / (Math.sqrt(z) + t_2)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = math.sqrt((1.0 + x)) - math.sqrt(x) tmp = 0 if ((t_2 - math.sqrt(z)) + (t_4 + (t_1 - math.sqrt(y)))) <= 1e-5: tmp = t_3 + (0.5 * (math.sqrt((1.0 / z)) + (math.sqrt((1.0 / x)) + math.sqrt((1.0 / y))))) else: tmp = t_3 + ((t_4 + (1.0 / (math.sqrt(y) + t_1))) + (((1.0 + z) - z) / (math.sqrt(z) + t_2))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) tmp = 0.0 if (Float64(Float64(t_2 - sqrt(z)) + Float64(t_4 + Float64(t_1 - sqrt(y)))) <= 1e-5) tmp = Float64(t_3 + Float64(0.5 * Float64(sqrt(Float64(1.0 / z)) + Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y)))))); else tmp = Float64(t_3 + Float64(Float64(t_4 + Float64(1.0 / Float64(sqrt(y) + t_1))) + Float64(Float64(Float64(1.0 + z) - z) / Float64(sqrt(z) + t_2)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = sqrt((1.0 + x)) - sqrt(x);
tmp = 0.0;
if (((t_2 - sqrt(z)) + (t_4 + (t_1 - sqrt(y)))) <= 1e-5)
tmp = t_3 + (0.5 * (sqrt((1.0 / z)) + (sqrt((1.0 / x)) + sqrt((1.0 / y)))));
else
tmp = t_3 + ((t_4 + (1.0 / (sqrt(y) + t_1))) + (((1.0 + z) - z) / (sqrt(z) + t_2)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1e-5], N[(t$95$3 + N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(t$95$4 + N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + z), $MachinePrecision] - z), $MachinePrecision] / N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := \sqrt{1 + x} - \sqrt{x}\\
\mathbf{if}\;\left(t\_2 - \sqrt{z}\right) + \left(t\_4 + \left(t\_1 - \sqrt{y}\right)\right) \leq 10^{-5}:\\
\;\;\;\;t\_3 + 0.5 \cdot \left(\sqrt{\frac{1}{z}} + \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\left(t\_4 + \frac{1}{\sqrt{y} + t\_1}\right) + \frac{\left(1 + z\right) - z}{\sqrt{z} + t\_2}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000008e-5Initial program 50.8%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6466.7
Simplified66.7%
Taylor expanded in y around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6487.6
Simplified87.6%
Taylor expanded in z around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6493.6
Simplified93.6%
if 1.00000000000000008e-5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.4%
flip--N/A
/-lowering-/.f64N/A
rem-square-sqrtN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6496.9
Applied egg-rr96.9%
flip--N/A
+-commutativeN/A
+-commutativeN/A
rem-square-sqrtN/A
rem-square-sqrtN/A
+-commutativeN/A
associate--l+N/A
+-inversesN/A
metadata-evalN/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6498.2
Applied egg-rr98.2%
Final simplification97.6%
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)) (sqrt y)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_5 (+ z (+ 1.0 z)))
(t_6 (sqrt (+ 1.0 x))))
(if (<= (+ t_3 (+ (- t_6 (sqrt x)) t_1)) 0.999996)
(+
t_4
(+
t_3
(/
(+ (sqrt y) (+ (sqrt x) 2.0))
(* (+ 1.0 (sqrt y)) (+ (sqrt x) t_6)))))
(+ t_4 (+ (+ t_1 (- 1.0 (sqrt x))) (/ t_5 (* t_5 (+ (sqrt z) t_2))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y)) - sqrt(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 = z + (1.0 + z);
double t_6 = sqrt((1.0 + x));
double tmp;
if ((t_3 + ((t_6 - sqrt(x)) + t_1)) <= 0.999996) {
tmp = t_4 + (t_3 + ((sqrt(y) + (sqrt(x) + 2.0)) / ((1.0 + sqrt(y)) * (sqrt(x) + t_6))));
} else {
tmp = t_4 + ((t_1 + (1.0 - sqrt(x))) + (t_5 / (t_5 * (sqrt(z) + t_2))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + y)) - sqrt(y)
t_2 = sqrt((1.0d0 + z))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((1.0d0 + t)) - sqrt(t)
t_5 = z + (1.0d0 + z)
t_6 = sqrt((1.0d0 + x))
if ((t_3 + ((t_6 - sqrt(x)) + t_1)) <= 0.999996d0) then
tmp = t_4 + (t_3 + ((sqrt(y) + (sqrt(x) + 2.0d0)) / ((1.0d0 + sqrt(y)) * (sqrt(x) + t_6))))
else
tmp = t_4 + ((t_1 + (1.0d0 - sqrt(x))) + (t_5 / (t_5 * (sqrt(z) + t_2))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y)) - Math.sqrt(y);
double t_2 = Math.sqrt((1.0 + z));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_5 = z + (1.0 + z);
double t_6 = Math.sqrt((1.0 + x));
double tmp;
if ((t_3 + ((t_6 - Math.sqrt(x)) + t_1)) <= 0.999996) {
tmp = t_4 + (t_3 + ((Math.sqrt(y) + (Math.sqrt(x) + 2.0)) / ((1.0 + Math.sqrt(y)) * (Math.sqrt(x) + t_6))));
} else {
tmp = t_4 + ((t_1 + (1.0 - Math.sqrt(x))) + (t_5 / (t_5 * (Math.sqrt(z) + t_2))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) - math.sqrt(y) t_2 = math.sqrt((1.0 + z)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((1.0 + t)) - math.sqrt(t) t_5 = z + (1.0 + z) t_6 = math.sqrt((1.0 + x)) tmp = 0 if (t_3 + ((t_6 - math.sqrt(x)) + t_1)) <= 0.999996: tmp = t_4 + (t_3 + ((math.sqrt(y) + (math.sqrt(x) + 2.0)) / ((1.0 + math.sqrt(y)) * (math.sqrt(x) + t_6)))) else: tmp = t_4 + ((t_1 + (1.0 - math.sqrt(x))) + (t_5 / (t_5 * (math.sqrt(z) + 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 + y)) - sqrt(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 = Float64(z + Float64(1.0 + z)) t_6 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_3 + Float64(Float64(t_6 - sqrt(x)) + t_1)) <= 0.999996) tmp = Float64(t_4 + Float64(t_3 + Float64(Float64(sqrt(y) + Float64(sqrt(x) + 2.0)) / Float64(Float64(1.0 + sqrt(y)) * Float64(sqrt(x) + t_6))))); else tmp = Float64(t_4 + Float64(Float64(t_1 + Float64(1.0 - sqrt(x))) + Float64(t_5 / Float64(t_5 * Float64(sqrt(z) + t_2))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y)) - sqrt(y);
t_2 = sqrt((1.0 + z));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((1.0 + t)) - sqrt(t);
t_5 = z + (1.0 + z);
t_6 = sqrt((1.0 + x));
tmp = 0.0;
if ((t_3 + ((t_6 - sqrt(x)) + t_1)) <= 0.999996)
tmp = t_4 + (t_3 + ((sqrt(y) + (sqrt(x) + 2.0)) / ((1.0 + sqrt(y)) * (sqrt(x) + t_6))));
else
tmp = t_4 + ((t_1 + (1.0 - sqrt(x))) + (t_5 / (t_5 * (sqrt(z) + t_2))));
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 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[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[(z + N[(1.0 + z), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 + N[(N[(t$95$6 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision], 0.999996], N[(t$95$4 + N[(t$95$3 + N[(N[(N[Sqrt[y], $MachinePrecision] + N[(N[Sqrt[x], $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[x], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$4 + N[(N[(t$95$1 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$5 / N[(t$95$5 * N[(N[Sqrt[z], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y} - \sqrt{y}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{1 + t} - \sqrt{t}\\
t_5 := z + \left(1 + z\right)\\
t_6 := \sqrt{1 + x}\\
\mathbf{if}\;t\_3 + \left(\left(t\_6 - \sqrt{x}\right) + t\_1\right) \leq 0.999996:\\
\;\;\;\;t\_4 + \left(t\_3 + \frac{\sqrt{y} + \left(\sqrt{x} + 2\right)}{\left(1 + \sqrt{y}\right) \cdot \left(\sqrt{x} + t\_6\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4 + \left(\left(t\_1 + \left(1 - \sqrt{x}\right)\right) + \frac{t\_5}{t\_5 \cdot \left(\sqrt{z} + t\_2\right)}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.999995999999999996Initial program 58.8%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr62.4%
Taylor expanded in x around 0
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6470.9
Simplified70.9%
Taylor expanded in y around 0
/-lowering-/.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6485.1
Simplified85.1%
if 0.999995999999999996 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 96.5%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6457.0
Simplified57.0%
flip--N/A
+-commutativeN/A
+-commutativeN/A
rem-square-sqrtN/A
rem-square-sqrtN/A
flip--N/A
+-commutativeN/A
associate-/l/N/A
/-lowering-/.f64N/A
Applied egg-rr57.5%
Final simplification61.5%
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 x)) (sqrt x)) (- t_1 (sqrt y)))))
(if (<= t_2 0.1)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_2 1.00005)
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) 1.0) (sqrt x))
(+
(- (sqrt (+ 1.0 t)) (sqrt t))
(- (+ 1.0 t_1) (+ (sqrt x) (sqrt y))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = (sqrt((1.0 + x)) - sqrt(x)) + (t_1 - sqrt(y));
double tmp;
if (t_2 <= 0.1) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_2 <= 1.00005) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), 1.0) - sqrt(x);
} else {
tmp = (sqrt((1.0 + t)) - sqrt(t)) + ((1.0 + t_1) - (sqrt(x) + sqrt(y)));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) + Float64(t_1 - sqrt(y))) tmp = 0.0 if (t_2 <= 0.1) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_2 <= 1.00005) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), 1.0) - sqrt(x)); else tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) + Float64(Float64(1.0 + t_1) - Float64(sqrt(x) + sqrt(y)))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.1], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 1.00005], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + t$95$1), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \left(\sqrt{1 + x} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\\
\mathbf{if}\;t\_2 \leq 0.1:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_2 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, 1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) + \left(\left(1 + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.10000000000000001Initial program 74.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6480.8
Simplified80.8%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6413.5
Simplified13.5%
if 0.10000000000000001 < (+.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))) < 1.00005000000000011Initial program 95.8%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6451.0
Simplified51.0%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6453.6
Simplified53.6%
Taylor expanded in z around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6429.8
Simplified29.8%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6418.5
Simplified18.5%
if 1.00005000000000011 < (+.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
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6493.9
Simplified93.9%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6456.8
Simplified56.8%
Final simplification26.8%
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 x)) (sqrt x)) (- t_1 (sqrt y)))))
(if (<= t_2 0.1)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_2 1.00005)
(- (fma 0.5 (+ (sqrt (/ 1.0 z)) (sqrt (/ 1.0 y))) 1.0) (sqrt x))
(- (+ 1.0 t_1) (+ (sqrt x) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = (sqrt((1.0 + x)) - sqrt(x)) + (t_1 - sqrt(y));
double tmp;
if (t_2 <= 0.1) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_2 <= 1.00005) {
tmp = fma(0.5, (sqrt((1.0 / z)) + sqrt((1.0 / y))), 1.0) - sqrt(x);
} else {
tmp = (1.0 + t_1) - (sqrt(x) + sqrt(y));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) + Float64(t_1 - sqrt(y))) tmp = 0.0 if (t_2 <= 0.1) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_2 <= 1.00005) tmp = Float64(fma(0.5, Float64(sqrt(Float64(1.0 / z)) + sqrt(Float64(1.0 / y))), 1.0) - sqrt(x)); else tmp = Float64(Float64(1.0 + t_1) - Float64(sqrt(x) + sqrt(y))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.1], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 1.00005], N[(N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + t$95$1), $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])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \left(\sqrt{1 + x} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\\
\mathbf{if}\;t\_2 \leq 0.1:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_2 \leq 1.00005:\\
\;\;\;\;\mathsf{fma}\left(0.5, \sqrt{\frac{1}{z}} + \sqrt{\frac{1}{y}}, 1\right) - \sqrt{x}\\
\mathbf{else}:\\
\;\;\;\;\left(1 + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.10000000000000001Initial program 74.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6480.8
Simplified80.8%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6413.5
Simplified13.5%
if 0.10000000000000001 < (+.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))) < 1.00005000000000011Initial program 95.8%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6451.0
Simplified51.0%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6453.6
Simplified53.6%
Taylor expanded in z around inf
--lowering--.f64N/A
+-commutativeN/A
distribute-lft-outN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6429.8
Simplified29.8%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6418.5
Simplified18.5%
if 1.00005000000000011 < (+.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
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6493.9
Simplified93.9%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6456.8
Simplified56.8%
Taylor expanded in t around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6440.1
Simplified40.1%
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 y) t_1))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t)))
(t_4 (+ z (+ 1.0 z))))
(if (<= y 7400.0)
(+
t_3
(+
(+ (- t_1 (sqrt y)) (- 1.0 (sqrt x)))
(/ t_4 (* t_4 (+ (sqrt z) (sqrt (+ 1.0 z)))))))
(+
t_3
(+
(/ (+ (+ 1.0 (sqrt x)) t_2) (* t_2 (+ (sqrt x) (sqrt (+ 1.0 x)))))
(- (sqrt z) (sqrt z)))))))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(y) + t_1;
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double t_4 = z + (1.0 + z);
double tmp;
if (y <= 7400.0) {
tmp = t_3 + (((t_1 - sqrt(y)) + (1.0 - sqrt(x))) + (t_4 / (t_4 * (sqrt(z) + sqrt((1.0 + z))))));
} else {
tmp = t_3 + ((((1.0 + sqrt(x)) + t_2) / (t_2 * (sqrt(x) + sqrt((1.0 + x))))) + (sqrt(z) - sqrt(z)));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt(y) + t_1
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
t_4 = z + (1.0d0 + z)
if (y <= 7400.0d0) then
tmp = t_3 + (((t_1 - sqrt(y)) + (1.0d0 - sqrt(x))) + (t_4 / (t_4 * (sqrt(z) + sqrt((1.0d0 + z))))))
else
tmp = t_3 + ((((1.0d0 + sqrt(x)) + t_2) / (t_2 * (sqrt(x) + sqrt((1.0d0 + x))))) + (sqrt(z) - sqrt(z)))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt(y) + t_1;
double t_3 = Math.sqrt((1.0 + t)) - Math.sqrt(t);
double t_4 = z + (1.0 + z);
double tmp;
if (y <= 7400.0) {
tmp = t_3 + (((t_1 - Math.sqrt(y)) + (1.0 - Math.sqrt(x))) + (t_4 / (t_4 * (Math.sqrt(z) + Math.sqrt((1.0 + z))))));
} else {
tmp = t_3 + ((((1.0 + Math.sqrt(x)) + t_2) / (t_2 * (Math.sqrt(x) + Math.sqrt((1.0 + x))))) + (Math.sqrt(z) - Math.sqrt(z)));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt(y) + t_1 t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) t_4 = z + (1.0 + z) tmp = 0 if y <= 7400.0: tmp = t_3 + (((t_1 - math.sqrt(y)) + (1.0 - math.sqrt(x))) + (t_4 / (t_4 * (math.sqrt(z) + math.sqrt((1.0 + z)))))) else: tmp = t_3 + ((((1.0 + math.sqrt(x)) + t_2) / (t_2 * (math.sqrt(x) + math.sqrt((1.0 + x))))) + (math.sqrt(z) - math.sqrt(z))) 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(y) + t_1) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) t_4 = Float64(z + Float64(1.0 + z)) tmp = 0.0 if (y <= 7400.0) tmp = Float64(t_3 + Float64(Float64(Float64(t_1 - sqrt(y)) + Float64(1.0 - sqrt(x))) + Float64(t_4 / Float64(t_4 * Float64(sqrt(z) + sqrt(Float64(1.0 + z))))))); else tmp = Float64(t_3 + Float64(Float64(Float64(Float64(1.0 + sqrt(x)) + t_2) / Float64(t_2 * Float64(sqrt(x) + sqrt(Float64(1.0 + x))))) + Float64(sqrt(z) - sqrt(z)))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt(y) + t_1;
t_3 = sqrt((1.0 + t)) - sqrt(t);
t_4 = z + (1.0 + z);
tmp = 0.0;
if (y <= 7400.0)
tmp = t_3 + (((t_1 - sqrt(y)) + (1.0 - sqrt(x))) + (t_4 / (t_4 * (sqrt(z) + sqrt((1.0 + z))))));
else
tmp = t_3 + ((((1.0 + sqrt(x)) + t_2) / (t_2 * (sqrt(x) + sqrt((1.0 + x))))) + (sqrt(z) - sqrt(z)));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(z + N[(1.0 + z), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 7400.0], N[(t$95$3 + N[(N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$4 / N[(t$95$4 * N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(N[(N[(1.0 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] / N[(t$95$2 * N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[z], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{y} + t\_1\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
t_4 := z + \left(1 + z\right)\\
\mathbf{if}\;y \leq 7400:\\
\;\;\;\;t\_3 + \left(\left(\left(t\_1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + \frac{t\_4}{t\_4 \cdot \left(\sqrt{z} + \sqrt{1 + z}\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(\frac{\left(1 + \sqrt{x}\right) + t\_2}{t\_2 \cdot \left(\sqrt{x} + \sqrt{1 + x}\right)} + \left(\sqrt{z} - \sqrt{z}\right)\right)\\
\end{array}
\end{array}
if y < 7400Initial program 97.5%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6448.8
Simplified48.8%
flip--N/A
+-commutativeN/A
+-commutativeN/A
rem-square-sqrtN/A
rem-square-sqrtN/A
flip--N/A
+-commutativeN/A
associate-/l/N/A
/-lowering-/.f64N/A
Applied egg-rr48.8%
if 7400 < y Initial program 85.2%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.3%
Taylor expanded in x around 0
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6490.4
Simplified90.4%
Taylor expanded in z around inf
sqrt-lowering-sqrt.f6448.6
Simplified48.6%
Final simplification48.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt y) (sqrt (+ 1.0 y)))))
(+
(+
(/ (+ (+ 1.0 (sqrt x)) 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 ((((1.0 + sqrt(x)) + 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 = ((((1.0d0 + sqrt(x)) + 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 ((((1.0 + Math.sqrt(x)) + 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 ((((1.0 + math.sqrt(x)) + 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(1.0 + sqrt(x)) + 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 = ((((1.0 + sqrt(x)) + 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[(1.0 + N[Sqrt[x], $MachinePrecision]), $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(1 + \sqrt{x}\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 91.0%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr92.3%
Taylor expanded in x around 0
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6475.3
Simplified75.3%
Final simplification75.3%
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 x)) (sqrt x)) (- t_1 (sqrt y)))))
(if (<= t_2 0.1)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_2 1.0)
(- (- (sqrt (+ 1.0 t)) (sqrt t)) (+ (sqrt x) -1.0))
(- (+ 1.0 t_1) (+ (sqrt x) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = (sqrt((1.0 + x)) - sqrt(x)) + (t_1 - sqrt(y));
double tmp;
if (t_2 <= 0.1) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_2 <= 1.0) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) - (sqrt(x) + -1.0);
} else {
tmp = (1.0 + t_1) - (sqrt(x) + sqrt(y));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = (sqrt((1.0d0 + x)) - sqrt(x)) + (t_1 - sqrt(y))
if (t_2 <= 0.1d0) then
tmp = 0.5d0 * sqrt((1.0d0 / x))
else if (t_2 <= 1.0d0) then
tmp = (sqrt((1.0d0 + t)) - sqrt(t)) - (sqrt(x) + (-1.0d0))
else
tmp = (1.0d0 + t_1) - (sqrt(x) + sqrt(y))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = (Math.sqrt((1.0 + x)) - Math.sqrt(x)) + (t_1 - Math.sqrt(y));
double tmp;
if (t_2 <= 0.1) {
tmp = 0.5 * Math.sqrt((1.0 / x));
} else if (t_2 <= 1.0) {
tmp = (Math.sqrt((1.0 + t)) - Math.sqrt(t)) - (Math.sqrt(x) + -1.0);
} else {
tmp = (1.0 + t_1) - (Math.sqrt(x) + Math.sqrt(y));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = (math.sqrt((1.0 + x)) - math.sqrt(x)) + (t_1 - math.sqrt(y)) tmp = 0 if t_2 <= 0.1: tmp = 0.5 * math.sqrt((1.0 / x)) elif t_2 <= 1.0: tmp = (math.sqrt((1.0 + t)) - math.sqrt(t)) - (math.sqrt(x) + -1.0) else: tmp = (1.0 + t_1) - (math.sqrt(x) + math.sqrt(y)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) + Float64(t_1 - sqrt(y))) tmp = 0.0 if (t_2 <= 0.1) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_2 <= 1.0) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) - Float64(sqrt(x) + -1.0)); else tmp = Float64(Float64(1.0 + t_1) - Float64(sqrt(x) + sqrt(y))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = (sqrt((1.0 + x)) - sqrt(x)) + (t_1 - sqrt(y));
tmp = 0.0;
if (t_2 <= 0.1)
tmp = 0.5 * sqrt((1.0 / x));
elseif (t_2 <= 1.0)
tmp = (sqrt((1.0 + t)) - sqrt(t)) - (sqrt(x) + -1.0);
else
tmp = (1.0 + t_1) - (sqrt(x) + sqrt(y));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.1], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 1.0], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + t$95$1), $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])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \left(\sqrt{1 + x} - \sqrt{x}\right) + \left(t\_1 - \sqrt{y}\right)\\
\mathbf{if}\;t\_2 \leq 0.1:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_2 \leq 1:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) - \left(\sqrt{x} + -1\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + t\_1\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.10000000000000001Initial program 74.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6480.8
Simplified80.8%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6413.5
Simplified13.5%
if 0.10000000000000001 < (+.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 96.4%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6450.8
Simplified50.8%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f649.0
Simplified9.0%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f6429.2
Simplified29.2%
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 97.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6491.7
Simplified91.7%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6455.0
Simplified55.0%
Taylor expanded in t around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6438.5
Simplified38.5%
Final simplification27.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (- (sqrt (+ 1.0 x)) (sqrt x)) (- (sqrt (+ 1.0 y)) (sqrt y)))))
(if (<= t_1 0.1)
(* 0.5 (sqrt (/ 1.0 x)))
(if (<= t_1 1.5)
(- (- (sqrt (+ 1.0 t)) (sqrt t)) (+ (sqrt x) -1.0))
(- (fma y 0.5 2.0) (+ (sqrt x) (sqrt y)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = (sqrt((1.0 + x)) - sqrt(x)) + (sqrt((1.0 + y)) - sqrt(y));
double tmp;
if (t_1 <= 0.1) {
tmp = 0.5 * sqrt((1.0 / x));
} else if (t_1 <= 1.5) {
tmp = (sqrt((1.0 + t)) - sqrt(t)) - (sqrt(x) + -1.0);
} else {
tmp = fma(y, 0.5, 2.0) - (sqrt(x) + sqrt(y));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) + Float64(sqrt(Float64(1.0 + y)) - sqrt(y))) tmp = 0.0 if (t_1 <= 0.1) tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); elseif (t_1 <= 1.5) tmp = Float64(Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) - Float64(sqrt(x) + -1.0)); else tmp = Float64(fma(y, 0.5, 2.0) - Float64(sqrt(x) + sqrt(y))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 0.1], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 1.5], N[(N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision], N[(N[(y * 0.5 + 2.0), $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])\\
\\
\begin{array}{l}
t_1 := \left(\sqrt{1 + x} - \sqrt{x}\right) + \left(\sqrt{1 + y} - \sqrt{y}\right)\\
\mathbf{if}\;t\_1 \leq 0.1:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\mathbf{elif}\;t\_1 \leq 1.5:\\
\;\;\;\;\left(\sqrt{1 + t} - \sqrt{t}\right) - \left(\sqrt{x} + -1\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(y, 0.5, 2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 0.10000000000000001Initial program 74.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6480.8
Simplified80.8%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6413.5
Simplified13.5%
if 0.10000000000000001 < (+.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))) < 1.5Initial program 95.6%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6450.8
Simplified50.8%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f649.5
Simplified9.5%
Taylor expanded in y around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f6428.5
Simplified28.5%
if 1.5 < (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) Initial program 98.9%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6497.2
Simplified97.2%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6459.9
Simplified59.9%
Taylor expanded in y around 0
--lowering--.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6459.9
Simplified59.9%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6442.0
Simplified42.0%
Final simplification28.0%
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 t)) (sqrt t))))
(if (<= (- (sqrt (+ 1.0 x)) (sqrt x)) 0.1)
(+ t_1 (* 0.5 (+ (sqrt (/ 1.0 z)) (+ (sqrt (/ 1.0 x)) (sqrt (/ 1.0 y))))))
(+
t_1
(+
(- (sqrt (+ 1.0 z)) (sqrt z))
(+ (- (sqrt (+ 1.0 y)) (sqrt y)) (fma x 0.5 (- 1.0 (sqrt x)))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((sqrt((1.0 + x)) - sqrt(x)) <= 0.1) {
tmp = t_1 + (0.5 * (sqrt((1.0 / z)) + (sqrt((1.0 / x)) + sqrt((1.0 / y)))));
} else {
tmp = t_1 + ((sqrt((1.0 + z)) - sqrt(z)) + ((sqrt((1.0 + y)) - sqrt(y)) + fma(x, 0.5, (1.0 - sqrt(x)))));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(sqrt(Float64(1.0 + x)) - sqrt(x)) <= 0.1) tmp = Float64(t_1 + Float64(0.5 * Float64(sqrt(Float64(1.0 / z)) + Float64(sqrt(Float64(1.0 / x)) + sqrt(Float64(1.0 / y)))))); else tmp = Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + fma(x, 0.5, Float64(1.0 - sqrt(x)))))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + t), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.1], N[(t$95$1 + N[(0.5 * N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(x * 0.5 + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;\sqrt{1 + x} - \sqrt{x} \leq 0.1:\\
\;\;\;\;t\_1 + 0.5 \cdot \left(\sqrt{\frac{1}{z}} + \left(\sqrt{\frac{1}{x}} + \sqrt{\frac{1}{y}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 + \left(\left(\sqrt{1 + z} - \sqrt{z}\right) + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \mathsf{fma}\left(x, 0.5, 1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.10000000000000001Initial program 84.9%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6488.5
Simplified88.5%
Taylor expanded in y around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6449.6
Simplified49.6%
Taylor expanded in z around inf
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6428.6
Simplified28.6%
if 0.10000000000000001 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 96.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6496.1
Simplified96.1%
Final simplification63.4%
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 z)) (sqrt z)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (- (sqrt (+ 1.0 t)) (sqrt t))))
(if (<= (- t_2 (sqrt x)) 0.999996)
(+ t_3 (+ t_1 (/ 1.0 (+ (sqrt x) t_2))))
(+ t_3 (+ t_1 (+ (- (sqrt (+ 1.0 y)) (sqrt y)) (- 1.0 (sqrt x))))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((1.0 + t)) - sqrt(t);
double tmp;
if ((t_2 - sqrt(x)) <= 0.999996) {
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
} else {
tmp = t_3 + (t_1 + ((sqrt((1.0 + y)) - sqrt(y)) + (1.0 - sqrt(x))));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_1 = sqrt((1.0d0 + z)) - sqrt(z)
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((1.0d0 + t)) - sqrt(t)
if ((t_2 - sqrt(x)) <= 0.999996d0) then
tmp = t_3 + (t_1 + (1.0d0 / (sqrt(x) + t_2)))
else
tmp = t_3 + (t_1 + ((sqrt((1.0d0 + y)) - sqrt(y)) + (1.0d0 - sqrt(x))))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((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 tmp;
if ((t_2 - Math.sqrt(x)) <= 0.999996) {
tmp = t_3 + (t_1 + (1.0 / (Math.sqrt(x) + t_2)));
} else {
tmp = t_3 + (t_1 + ((Math.sqrt((1.0 + y)) - Math.sqrt(y)) + (1.0 - Math.sqrt(x))));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + z)) - math.sqrt(z) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((1.0 + t)) - math.sqrt(t) tmp = 0 if (t_2 - math.sqrt(x)) <= 0.999996: tmp = t_3 + (t_1 + (1.0 / (math.sqrt(x) + t_2))) else: tmp = t_3 + (t_1 + ((math.sqrt((1.0 + y)) - math.sqrt(y)) + (1.0 - math.sqrt(x)))) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(1.0 + x)) t_3 = Float64(sqrt(Float64(1.0 + t)) - sqrt(t)) tmp = 0.0 if (Float64(t_2 - sqrt(x)) <= 0.999996) tmp = Float64(t_3 + Float64(t_1 + Float64(1.0 / Float64(sqrt(x) + t_2)))); else tmp = Float64(t_3 + Float64(t_1 + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + Float64(1.0 - sqrt(x))))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + z)) - sqrt(z);
t_2 = sqrt((1.0 + x));
t_3 = sqrt((1.0 + t)) - sqrt(t);
tmp = 0.0;
if ((t_2 - sqrt(x)) <= 0.999996)
tmp = t_3 + (t_1 + (1.0 / (sqrt(x) + t_2)));
else
tmp = t_3 + (t_1 + ((sqrt((1.0 + y)) - sqrt(y)) + (1.0 - sqrt(x))));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(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]}, If[LessEqual[N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision], 0.999996], N[(t$95$3 + N[(t$95$1 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(t$95$1 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{1 + t} - \sqrt{t}\\
\mathbf{if}\;t\_2 - \sqrt{x} \leq 0.999996:\\
\;\;\;\;t\_3 + \left(t\_1 + \frac{1}{\sqrt{x} + t\_2}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3 + \left(t\_1 + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right)\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) < 0.999995999999999996Initial program 85.5%
flip--N/A
flip--N/A
frac-addN/A
/-lowering-/.f64N/A
Applied egg-rr87.0%
Taylor expanded in x around 0
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6452.7
Simplified52.7%
Taylor expanded in y around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6449.5
Simplified49.5%
if 0.999995999999999996 < (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) Initial program 96.7%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6496.5
Simplified96.5%
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 (if (<= y 1.35e+39) (- (fma y 0.5 2.0) (+ (sqrt x) (sqrt y))) (* 0.5 (sqrt (/ 1.0 x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 1.35e+39) {
tmp = fma(y, 0.5, 2.0) - (sqrt(x) + sqrt(y));
} else {
tmp = 0.5 * sqrt((1.0 / x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 1.35e+39) tmp = Float64(fma(y, 0.5, 2.0) - Float64(sqrt(x) + sqrt(y))); else tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[y, 1.35e+39], N[(N[(y * 0.5 + 2.0), $MachinePrecision] - N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 1.35 \cdot 10^{+39}:\\
\;\;\;\;\mathsf{fma}\left(y, 0.5, 2\right) - \left(\sqrt{x} + \sqrt{y}\right)\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\end{array}
\end{array}
if y < 1.35000000000000002e39Initial program 93.8%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6449.1
Simplified49.1%
Taylor expanded in z around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6429.7
Simplified29.7%
Taylor expanded in y around 0
--lowering--.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6426.6
Simplified26.6%
Taylor expanded in t around inf
--lowering--.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f6419.2
Simplified19.2%
if 1.35000000000000002e39 < y Initial program 87.6%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6444.8
Simplified44.8%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6410.7
Simplified10.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= x 4.6e-43) (* 0.5 (sqrt (/ 1.0 y))) (* 0.5 (sqrt (/ 1.0 x)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (x <= 4.6e-43) {
tmp = 0.5 * sqrt((1.0 / y));
} else {
tmp = 0.5 * sqrt((1.0 / x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (x <= 4.6d-43) then
tmp = 0.5d0 * sqrt((1.0d0 / y))
else
tmp = 0.5d0 * sqrt((1.0d0 / x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double tmp;
if (x <= 4.6e-43) {
tmp = 0.5 * Math.sqrt((1.0 / y));
} else {
tmp = 0.5 * Math.sqrt((1.0 / x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): tmp = 0 if x <= 4.6e-43: tmp = 0.5 * math.sqrt((1.0 / y)) else: tmp = 0.5 * math.sqrt((1.0 / x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (x <= 4.6e-43) tmp = Float64(0.5 * sqrt(Float64(1.0 / y))); else tmp = Float64(0.5 * sqrt(Float64(1.0 / x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
tmp = 0.0;
if (x <= 4.6e-43)
tmp = 0.5 * sqrt((1.0 / y));
else
tmp = 0.5 * sqrt((1.0 / x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[x, 4.6e-43], N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;x \leq 4.6 \cdot 10^{-43}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{y}}\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot \sqrt{\frac{1}{x}}\\
\end{array}
\end{array}
if x < 4.5999999999999998e-43Initial program 96.8%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6496.8
Simplified96.8%
Taylor expanded in y around inf
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6455.6
Simplified55.6%
Taylor expanded in y around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f646.9
Simplified6.9%
if 4.5999999999999998e-43 < x Initial program 86.1%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6480.8
Simplified80.8%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6410.4
Simplified10.4%
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 (/ 1.0 x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.5 * sqrt((1.0 / x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.5d0 * sqrt((1.0d0 / x))
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((1.0 / x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.5 * math.sqrt((1.0 / x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.5 * sqrt(Float64(1.0 / x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.5 * sqrt((1.0 / x));
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[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
0.5 \cdot \sqrt{\frac{1}{x}}
\end{array}
Initial program 91.0%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6446.4
Simplified46.4%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f648.5
Simplified8.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- 0.0 (sqrt x)))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return 0.0 - sqrt(x);
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = 0.0d0 - sqrt(x)
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return 0.0 - Math.sqrt(x);
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return 0.0 - math.sqrt(x)
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(0.0 - sqrt(x)) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = 0.0 - sqrt(x);
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(0.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
0 - \sqrt{x}
\end{array}
Initial program 91.0%
Taylor expanded in x around 0
associate--l+N/A
+-commutativeN/A
+-commutativeN/A
associate--r+N/A
associate-+l-N/A
--lowering--.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6449.5
Simplified49.5%
Taylor expanded in x around inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f641.6
Simplified1.6%
sub0-negN/A
neg-lowering-neg.f64N/A
sqrt-lowering-sqrt.f641.6
Applied egg-rr1.6%
Final simplification1.6%
(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 2024195
(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))))